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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2017.4000</article-id>
<article-id pub-id-type="publisher-id">ijo-51-01-0005</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Gastric cancer: Metabolic and metabolomics perspectives (Review)</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xiao</surname><given-names>Shiyu</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname><given-names>Liya</given-names></name><xref ref-type="corresp" rid="c1-ijo-51-01-0005"/></contrib>
<aff id="af1-ijo-51-01-0005">Department of Gastroenterology, Peking University Third Hospital, Haidian, Beijing 100191, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-ijo-51-01-0005">Correspondence to: Professor Liya Zhou, Department of Gastroenterology, Peking University Third Hospital, 49 North Huayuan Road, Haidian, Beijing 100191, P.R. China, E-mail: <email>zhouly_bjmu@163.com</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>07</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>16</day>
<month>05</month>
<year>2017</year></pub-date>
<volume>51</volume>
<issue>1</issue>
<fpage>5</fpage>
<lpage>17</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>03</month>
<year>2017</year></date>
<date date-type="accepted">
<day>02</day>
<month>05</month>
<year>2017</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year></permissions>
<abstract>
<p>Gastric cancer is one of the most malignant tumors worldwide and remains a major health threat in Asia-Pacific regions, while its pathological mechanism is generally unknown. Recent research has advanced the understanding of the relationship between metabolic reprogramming and carcinogenesis. In particular, metabolic regulation and cancer research are being further brought into sharp focus with the emergence of metabolomics. Not only can metabolomics provide global information on metabolic profiles of specific tumors, but it can also act as a promising tool to discover biomarkers regarding diagnosis, metastatic surveillance and chemotherapeutic sensitivity prediction. Meanwhile, metabolism-based anticancer therapies will be further discovered. Up to now, accumulative studies have highlighted the application of metabolomics in gastric cancer research regarding different aspects; therefore we summarized the current available results of how metabolic changes are linked to gastric carcinogenesis, and how metabolomics holds promise for the diagnosis, metastatic surveillance, treatment and prognosis prediction of gastric cancer.</p></abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>metabolomics</kwd>
<kwd>metabolic reprogramming</kwd>
<kwd>diagnosis</kwd>
<kwd>metastatic prediction</kwd>
<kwd>treatment</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>1. Introduction</title>
<p>Gastric cancer remains third in ranking in cancer death worldwide, although its overall incidence is declining in recent years (<xref rid="b1-ijo-51-01-0005" ref-type="bibr">1</xref>). In the past decades, studies aimed at <italic>Helicobacter pylori</italic> infection (<xref rid="b2-ijo-51-01-0005" ref-type="bibr">2</xref>,<xref rid="b3-ijo-51-01-0005" ref-type="bibr">3</xref>), hereditary susceptibility (<xref rid="b4-ijo-51-01-0005" ref-type="bibr">4</xref>) and environmental factors (<xref rid="b5-ijo-51-01-0005" ref-type="bibr">5</xref>) have made a great breakthrough in investigating its precise pathogenesis. Recently, application of various '-omics' technologies opened a new field to investigate the mechanisms behind this disease.</p>
<p>With the emergency of metabolomics, major progress has been made in the understanding of the relationship between metabolic regulation and cancer. Warburg, in fact, showed a characteristic metabolic pattern of tumors in the 1920s, that is, tumor cells consume a large amount of glucose for glycolysis even under the condition of sufficient oxygen (Warburg effect) (<xref rid="b6-ijo-51-01-0005" ref-type="bibr">6</xref>). Extensive research also indicates that metabolic reprogramming is one of the hallmarks of cancer (<xref rid="b7-ijo-51-01-0005" ref-type="bibr">7</xref>), and intricately linked to oncogenesis (<xref rid="b8-ijo-51-01-0005" ref-type="bibr">8</xref>&#x02013;<xref rid="b10-ijo-51-01-0005" ref-type="bibr">10</xref>) and cancer immune escape (<xref rid="b11-ijo-51-01-0005" ref-type="bibr">11</xref>&#x02013;<xref rid="b13-ijo-51-01-0005" ref-type="bibr">13</xref>). On the other hand, study methods combined conventional oncology research and metabolomics are more likely to provide deeper insights in this field. The procedure of these methods is illustrated in <xref rid="f1-ijo-51-01-0005" ref-type="fig">Fig. 1</xref>, and more detailed information can be found in literature (<xref rid="b14-ijo-51-01-0005" ref-type="bibr">14</xref>&#x02013;<xref rid="b16-ijo-51-01-0005" ref-type="bibr">16</xref>).</p>
<p>Several excellent reviews have been published on metabolomics application in different diseases (<xref rid="b17-ijo-51-01-0005" ref-type="bibr">17</xref>&#x02013;<xref rid="b19-ijo-51-01-0005" ref-type="bibr">19</xref>) especially cancer research (<xref rid="b20-ijo-51-01-0005" ref-type="bibr">20</xref>&#x02013;<xref rid="b23-ijo-51-01-0005" ref-type="bibr">23</xref>). Hence, this report presents fresh and profound insights into metabolic changes in gastric cancer and possible mechanism behind these alterations is further discussed. Then, we focus on some studies including our data targeted on biomarkers involving diagnosis, metastasis and prognosis, and treatment in this disease. Finally, future directions are presented.</p></sec>
<sec sec-type="other">
<title>2. Metabolic alteration in gastric cancer</title>
<p>Up to now, several studies aimed at identifiable metabolic changes in macroenvironment-blood (<xref rid="b24-ijo-51-01-0005" ref-type="bibr">24</xref>&#x02013;<xref rid="b29-ijo-51-01-0005" ref-type="bibr">29</xref>) (<xref rid="tI-ijo-51-01-0005" ref-type="table">Table I</xref>) and urine (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>&#x02013;<xref rid="b34-ijo-51-01-0005" ref-type="bibr">34</xref>) (<xref rid="tII-ijo-51-01-0005" ref-type="table">Table II</xref>) or microenvironment-carcinoma tissues (<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>&#x02013;<xref rid="b41-ijo-51-01-0005" ref-type="bibr">41</xref>) (<xref rid="tIII-ijo-51-01-0005" ref-type="table">Table III</xref>) and gastric juice (<xref rid="b42-ijo-51-01-0005" ref-type="bibr">42</xref>&#x02013;<xref rid="b44-ijo-51-01-0005" ref-type="bibr">44</xref>) (<xref rid="tIV-ijo-51-01-0005" ref-type="table">Table IV</xref>) have been done to map globally metabolic profiles and interpret its possible mechanism in the process of gastric carcinogenesis. Typical changes in metabolites of this disease are illustrated in <xref rid="f2-ijo-51-01-0005" ref-type="fig">Fig. 2</xref>.</p>
<sec>
<title>Glucose metabolism</title>
<p>Cumulative evidence demonstrates that concentration of lactic acid shows a consistent increase in urine (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>) or tissue (<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>,<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>,<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>,<xref rid="b38-ijo-51-01-0005" ref-type="bibr">38</xref>) samples of gastric cancer groups, but glucose is considerably depleted compared with those healthy counterparts or non-malignant patients (like chronic superficial gastritis and chronic atrophic gastritis without intestinal metaplasia) (<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>,<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>). The high lactate level might be attributed to the special metabolism of most cancer cells, known as 'Warburg effect' we mentioned above (<xref rid="b6-ijo-51-01-0005" ref-type="bibr">6</xref>). Scarce glucose might result from the overexpression of glucose transporters (<xref rid="b42-ijo-51-01-0005" ref-type="bibr">42</xref>) and type II hexokinase (<xref rid="b43-ijo-51-01-0005" ref-type="bibr">43</xref>), which are both confirmed in gastric cancer tissues. Higher fructose-6-phosphokinase (6-FPK) activity can also result in low glucose in gastric cancer tissues (<xref rid="b44-ijo-51-01-0005" ref-type="bibr">44</xref>), as it regulates the output of glucose to glycolysis pathway. The glycolytic switch has been identified to be associated with oncogenic transformation and molecular signal transduction, such as hypoxia-inducible factor pathway, insulin signaling pathway and PI3K-Akt-mTOR pathway (<xref rid="b45-ijo-51-01-0005" ref-type="bibr">45</xref>). Furthermore, overexpression of pyruvate kinase and lactate dehydrogenase is positively associated with tumor proliferation and poor prognosis, downregulation of them <italic>in vitro</italic> experiment can impair tumor invasion (<xref rid="b38-ijo-51-01-0005" ref-type="bibr">38</xref>,<xref rid="b46-ijo-51-01-0005" ref-type="bibr">46</xref>&#x02013;<xref rid="b49-ijo-51-01-0005" ref-type="bibr">49</xref>). On the other hand, such special microenvironment might be the requirement of rapid propagation of tumor cells. To our understanding, it has been reported that accumulated lactic acid moderates the activity of proteases that decompose extracellular matrix, which can produce some peptides and amino acids that are consumable for energy generation (<xref rid="b44-ijo-51-01-0005" ref-type="bibr">44</xref>). Acidosis microenvironment is also ascribed to the formation of cancer blood vessels, meeting the plentiful supply of nutrients and leading to tumor invasion and metastasis (<xref rid="b50-ijo-51-01-0005" ref-type="bibr">50</xref>). Moreover, tumor-derived lactate shows strongly negative effects on cytotoxic T-cell/NK cell function (<xref rid="b11-ijo-51-01-0005" ref-type="bibr">11</xref>,<xref rid="b51-ijo-51-01-0005" ref-type="bibr">51</xref>) and blocks differentiation of monocytes to dendritic cells (<xref rid="b52-ijo-51-01-0005" ref-type="bibr">52</xref>), finally leading to tumor immune escape. However, such outcome demands further verification in gastric cancer.</p>
<p>Considering tricarboxylic acid cycle (TCA) intermediates, an increase of five metabolites (&#x003B1;-ketoglutaric acid, malic acid, fumarate, succinate, citric acid) is noticed regardless of blood (<xref rid="b26-ijo-51-01-0005" ref-type="bibr">26</xref>,<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>), urine (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>,<xref rid="b32-ijo-51-01-0005" ref-type="bibr">32</xref>) or tissue (<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>,<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>,<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>,<xref rid="b39-ijo-51-01-0005" ref-type="bibr">39</xref>) samples in gastric cancer. There are some possible reasons that can explain this phenomenon. One account is that cancer cells still use a small portion of glucose for oxidative phosphorylation. Secondly, cancer cells might also utilize fumarate respiration to generate energy under special conditions of glucose deprivation and severe hypoxia in microenvironment (<xref rid="b53-ijo-51-01-0005" ref-type="bibr">53</xref>), and succinate is one of the byproducts in this process except for originating from TCA. Hence, it provides a likely explanation for the accumulation of fumarate and succinate. Another reason is that some amino acids, such as glutamine, threonine, phenylalanine, tyrosine or proline, can be converted into these intermediates involving in TCA (<xref rid="f2-ijo-51-01-0005" ref-type="fig">Fig. 2</xref>). Additionally, elevated levels of citric acid can be used in the <italic>de novo</italic> fatty acid synthesis, but it is noted that citrate can also induce apoptosis in two gastric cancer cell lines <italic>in vitro</italic> experiment (<xref rid="b54-ijo-51-01-0005" ref-type="bibr">54</xref>,<xref rid="b55-ijo-51-01-0005" ref-type="bibr">55</xref>).</p></sec>
<sec>
<title>Amino acid metabolism</title>
<p>Availability of amino acids is pivotal for cellular protein biosynthesis and cytoskeleton formation, while it has been pointed out that amino acids especially those linking to TCA (<xref rid="f2-ijo-51-01-0005" ref-type="fig">Fig. 2</xref>) are an alternative energy source of cancer cell proliferation (<xref rid="b56-ijo-51-01-0005" ref-type="bibr">56</xref>). By employing metabolomics technologies, levels of various amino acids (including serine, valine, phenylalanine, tryptophan, glycine, and proline) and their primary derivatives (such as kynurenine, kynurenic acid, anthranilic acid and nicotinic acid) are significantly higher in tissue specimens (<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>,<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>,<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>) and gastric content (<xref rid="b29-ijo-51-01-0005" ref-type="bibr">29</xref>,<xref rid="b40-ijo-51-01-0005" ref-type="bibr">40</xref>,<xref rid="b41-ijo-51-01-0005" ref-type="bibr">41</xref>), but decreased concentration in some of them is observed in blood (<xref rid="b24-ijo-51-01-0005" ref-type="bibr">24</xref>). The overexpression of L-type amino acid transporter 1 (LAT1) might be proposed to explain this dissimilarity (<xref rid="b57-ijo-51-01-0005" ref-type="bibr">57</xref>). Free amino acids are greatly assimilated to cancer tissues via LAT1 from bloodstream, resulting in the low accumulation of amino acid in contrast to normal counterparts. Malnourishment may also be a contributing factor to these reduced levels of plasma amino acids. Apart from these, degradation of extracellular matrix mediated by the overexpressed matrix metalloproteinases (MMPs) and activated autophagic degradation of intracellular proteins are considered as the potential source of accumulative amino acids in tumor tissues (<xref rid="b58-ijo-51-01-0005" ref-type="bibr">58</xref>&#x02013;<xref rid="b60-ijo-51-01-0005" ref-type="bibr">60</xref>).</p>
<p>Elevated amino acids in microenvironment are contributing factors in carcinogenesis. Most strikingly, it is indicated that many cancer cell lines cannot survive in the absence of glutamine (<xref rid="b61-ijo-51-01-0005" ref-type="bibr">61</xref>), because it is required for anabolic growth of mammalian cells through its ability to control the master regulator of protein translation mTORC1 (<xref rid="b62-ijo-51-01-0005" ref-type="bibr">62</xref>). Reprogramming of glutamine metabolism further contributes to the proliferative and metabolic responses regulated by oncogenic transcription factor c-MYC (<xref rid="b63-ijo-51-01-0005" ref-type="bibr">63</xref>). In addition, it is also the nitrogen donor for several key metabolic enzymes and for the <italic>de novo</italic> synthesis of both purines and pyrimidines (<xref rid="f2-ijo-51-01-0005" ref-type="fig">Fig. 2</xref>). Serine also participates in the <italic>de novo</italic> synthesis of nucleotides by serving one carbon unit. Functional genomics further indicates that serine biosynthesis pathway is significant for breast cancer event, which can be attributable to the overexpression of phosphoglycerate dehydrogenase (PHGDH) that controls the flow of intermediates originated from glycolysis (<xref rid="b64-ijo-51-01-0005" ref-type="bibr">64</xref>). Inhibition of PHGDH in cells can result in lower serine and decrease cellular proliferation <italic>in vitro</italic>. However, this remains unclear in gastric cancer. Tryptophan and its downstream metabolites (mainly including kynurenine, kynurenic acid, anthranilic acid, nicotinic acid) via kynurenine pathway are related to the pathogenesis and prognosis of various malignancies including gastric cancer (<xref rid="b65-ijo-51-01-0005" ref-type="bibr">65</xref>,<xref rid="b66-ijo-51-01-0005" ref-type="bibr">66</xref>). Kynurenine pathway catalyzed by indoleamine-2, 3-dioxygenase (IDO) plays a key role in adapting the tumor microenvironment to favor cancer progression because higher IDO expression is associated with an increase in immunosuppressive T-regulatory cell activity (<xref rid="b67-ijo-51-01-0005" ref-type="bibr">67</xref>), and its immunosuppressive role inhibits T-cell mediated cytotoxicity and cell proliferation of gastric cell lines <italic>in vitro</italic> (<xref rid="b68-ijo-51-01-0005" ref-type="bibr">68</xref>). Additionally, 3-hydroxyanthanilie acid (downstream metabolites in kynurenine pathway) also has suppressive effects on inflammation and immune response (<xref rid="b69-ijo-51-01-0005" ref-type="bibr">69</xref>). Glycine used in living organism as building blocks of purines is strongly correlated with the rapid proliferation rates, and then antagonizing glycine uptake and its mitochondrial biosynthesis preferentially impair rapidly proliferating cells (<xref rid="b70-ijo-51-01-0005" ref-type="bibr">70</xref>). The indirect anti-angiogenic impact of glycine is also identified <italic>in vitro</italic> (<xref rid="b71-ijo-51-01-0005" ref-type="bibr">71</xref>,<xref rid="b72-ijo-51-01-0005" ref-type="bibr">72</xref>) and <italic>in vivo</italic> (<xref rid="b73-ijo-51-01-0005" ref-type="bibr">73</xref>,<xref rid="b74-ijo-51-01-0005" ref-type="bibr">74</xref>), possibly because it might inhibit the proliferation of vascular endothelial cells, finally leading to angiogenesis (<xref rid="b74-ijo-51-01-0005" ref-type="bibr">74</xref>). Elevated proline in tumor tissues might begin with the activation of MMPs and degradation of micro-environmentally extracellular matrix (ECM), subsequently the degradation of collagen catalyzed by proline dehydrogenase (PRODH) that can be regulated under conditions of nutrient stress linked to mTOR signaling system (<xref rid="b75-ijo-51-01-0005" ref-type="bibr">75</xref>). Other elevated amino acids, such as tyrosine, valine and cysteine, can be converted into the TCA intermediates (except for citric acid, isocitrate, succinyl-CoA, oxaloacetate) to generate energy (<xref rid="f2-ijo-51-01-0005" ref-type="fig">Fig. 2</xref>).</p></sec>
<sec>
<title>Lipid metabolism</title>
<p>The notable feature of lipid metabolism in cancer cells is an increased rate of lipogenesis and the upregulation of mitochondrial fatty acid &#x003B2;-oxidation, gastric cancer shows a similar tendency and presents typical changes regarding various metabolites involving in lipid metabolism.</p>
<p>Fatty acids, such as hexadecenoic acid, docosahexaenoic acid, eptanoic acid and &#x003B2;-hydroxybutyrate, are significantly larger in gastric cancer tissues than in benign tissues (like chronic superficial gastritis) (<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>). Octadecanoic acid is also found to be elevated in blood specimens obtained from gastric cancer patients (<xref rid="b39-ijo-51-01-0005" ref-type="bibr">39</xref>). Of them, &#x003B2;-hydroxybutyrate is the common product of fatty acid degradation via &#x003B2;-oxidation, suggesting more intensive decomposition of fatty acids in microenvironment. The accelerated metabolism from lipids to fatty acids and finally ketone bodies consumes fat, which might explain the fact that patients become very thin in later stages of gastric cancer. This signature also has been identified by the xenograft animal models with gastric cancer showing elevated levels of glycerol and hexadecanoic acid (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>), resulting from the high activation of adipocyte lipolysis in cancer cells as well as enhanced expression and function of adipocyte hormone-sensitive lipase in cancer cachexia (<xref rid="b76-ijo-51-01-0005" ref-type="bibr">76</xref>). In contrast, some data show that unsaturated fatty acids such as 9-hexadecenoic acid, <italic>cis</italic>-vaccenic acid, arachidinic acid, hexadecanoic acid and 3-hydroxybutanoic acid are found to be significantly decreased in cancer tissue samples (<xref rid="b26-ijo-51-01-0005" ref-type="bibr">26</xref>). Of note, the level of <italic>O</italic>-acetylcarnitine, which increases the &#x003B2;-oxidation of fatty acid, shows a declining trend as the early gastric cancer progresses into advanced stage (<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>). Accordingly, it seems that decreased <italic>O</italic>-acetylcarnitine might explain the impaired fatty acids &#x003B2;-oxidation in stage III/IV gastric cancer, which is characterized by the decline in unsaturated fatty acids we discussed above (9-hexadecenoic acid, <italic>cis</italic>-vaccenic acid, arachidinic acid, hexadecanoic acid and 3-hydroxybutanoic acid). However, this discrepancy between different research needs further elucidation with larger samples and different analytical methods. On the other hand, free fatty acids in plasma, including palmitic acid, stearic acid, 9-(Z)-hexadecenoic acid, oleic acid, linoleic acid, docosahexaenoic acid and arachidonic acid, are equivalent in both gastric cancer and gastric benign disorders (<xref rid="b25-ijo-51-01-0005" ref-type="bibr">25</xref>). Therefore, it infers that free fatty acids in blood might be not utilized by tumor cells.</p>
<p>Upregulated lipid peroxides are also confirmed in this disease. Accumulation of 4-hydroxyphenylacetate resulting from the oxidative degradation of lipids was observed in the study of Jung <italic>et al</italic> (<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>). Elevation of azelaic acid in blood samples, which is the end product of linoleic acid when subjected to peroxide decomposition (<xref rid="b77-ijo-51-01-0005" ref-type="bibr">77</xref>) and can serve as a marker of lipid peroxidation (<xref rid="b78-ijo-51-01-0005" ref-type="bibr">78</xref>), as observed by Yu <italic>et al</italic> (<xref rid="b25-ijo-51-01-0005" ref-type="bibr">25</xref>).</p>
<p>Based on that indicated above, these signatures show that cancer cells utilize massive fatty acids to meet the demand of cell membrane synthesis, mainly for lipid raft and lipid-modified signaling molecules (<xref rid="b79-ijo-51-01-0005" ref-type="bibr">79</xref>); and a large fraction of their membrane lipids are biosynthesized <italic>de novo</italic> rather than scavenging from extracellular sources. In <italic>de novo</italic> lipogenesis, fatty acid synthase (FAS) catalyzes the synthesis of palmitate from acetyl-CoA or malonyl-CoA in the presence of NADPH as a redox equivalent. FAS expression is commonly low in non-proliferating cells that typically import lipids from the extracellular milieu. In contrast, actively proliferating cells, especially tumor cells, have increased demands for lipids, which is highly dependent on <italic>de novo</italic> synthesis. So FAS is frequently upregulated in many types of tumors (<xref rid="b80-ijo-51-01-0005" ref-type="bibr">80</xref>&#x02013;<xref rid="b82-ijo-51-01-0005" ref-type="bibr">82</xref>) including gastric cancer (<xref rid="b83-ijo-51-01-0005" ref-type="bibr">83</xref>,<xref rid="b84-ijo-51-01-0005" ref-type="bibr">84</xref>); and increased FAS expression is linked to tumor proliferation, chemoresistance and poorer prognosis in cancers (<xref rid="b85-ijo-51-01-0005" ref-type="bibr">85</xref>&#x02013;<xref rid="b88-ijo-51-01-0005" ref-type="bibr">88</xref>). Thus, this key enzyme implicated in lipogenesis has been studied as potential target in anti-neoplastic therapy (<xref rid="b84-ijo-51-01-0005" ref-type="bibr">84</xref>). On the other hand, enhancement of fatty acid-&#x003B2; oxidation is also considered to be an important metabolic reprogramming in the early stage of some cancer types (<xref rid="b89-ijo-51-01-0005" ref-type="bibr">89</xref>), as it produces more ATP and acetyl coenzyme A which in turn can accelerate the rate of citric acid oxidation and serve as the energy source (<xref rid="b90-ijo-51-01-0005" ref-type="bibr">90</xref>). Furthermore, production of polyunsaturated fatty acids, to some extent, is also associated with tumor cell proliferation, apoptosis and angiogenesis (<xref rid="b91-ijo-51-01-0005" ref-type="bibr">91</xref>,<xref rid="b92-ijo-51-01-0005" ref-type="bibr">92</xref>).</p></sec>
<sec>
<title>Nucleotide metabolism</title>
<p>Tumor cells are in a state of such rapid proliferation and differentiation that frequent nucleotide synthesis and metabolism are upregulated significantly. Accumulation of the end products of nucleotide catabolism is characterized by the higher levels of uric acid or urate (<xref rid="b25-ijo-51-01-0005" ref-type="bibr">25</xref>,<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>) in gastric cancer patients or animal models. Other purines compounds like hypoxanthine and guanosine were also increased (<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>,<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>), but Aa <italic>et al</italic> showed decreases in uridine (an RNA building block) (<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>). Nucleotides are also associated with energy metabolism, mainly in the form of ATP and GTP. Of tumor cells, adequate energy should be supplied to meet their proliferation. In this way, it is assumed that nucleotide phosphates should increase in cancer tissues compared with normal tissues. However, Hirayama and colleagues (<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>), identified that there was no noticeable difference between gastric cancer tissues and adjacent normal tissues with regard to most nucleotide phosphates (ATP, ADP, GTP, and GDP), total adenylate and energy charge. Accordingly, it infers that cancer cells gain growth superiority over their normal counterparts by switching metabolic patterns of energy to anaerobic glycolysis and possibly fumarate respiration that we have discussed above, instead of securing more ATP.</p></sec>
<sec>
<title>Other altered metabolisms</title>
<p>Except for the changed metabolisms mentioned above, other metabolite concentrations also show increased or decreased trend in the development of gastric cancer. Increased level of creatinine, a waste product of muscle metabolism, was detected in urine samples of tumor groups (<xref rid="b33-ijo-51-01-0005" ref-type="bibr">33</xref>), which might be induced by lower total body skeletal mass among cachectic patients (<xref rid="b93-ijo-51-01-0005" ref-type="bibr">93</xref>,<xref rid="b94-ijo-51-01-0005" ref-type="bibr">94</xref>). Changes in inositol level of gastric malignancy patients are investigated in either tumor tissues (<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>,<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>,<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>) or urine samples (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>), but its mechanism and significance are poorly understood.</p></sec></sec>
<sec sec-type="other">
<title>3. Metabolomics in diagnosis, treatment and prognostic prediction of gastric cancer</title>
<sec>
<title>Diagnosis</title>
<p>Early diagnosis is the key element determining the outcome of treatment in cancer research, but current application of cancer biomarkers, endoscopy and imaging is still not satisfactory. Serum biomarkers, like CEA and CA19-9, are not effective given their poor sensitivity or specificity. Inconsistent diagnostic efficacy at endoscopy that results from the variations in skill and experience of endoscopists and pathologist might lead to missed diagnosis at early phase, while positive results displayed on imaging examination (such as barium meal and computer tomography) are prone to advanced stage. Interestingly, utility of various -omics technologies open a new field to discover potential biomarkers for gastric cancer diagnosis, especially based on metabolomics.</p>
<p>Exploration of gastric cancer biomarkers in blood or urine is more appreciated because of its non-invasive priority. Yu <italic>et al</italic> demonstrated that metabolic profiles were quite different in gastric cancer patients with different pathological types in the Correa model, but intestinal metaplasia shared similar metabolic phenotype (threonate, glutamate and azelaic acid) in plasma with neoplastic groups (<xref rid="b25-ijo-51-01-0005" ref-type="bibr">25</xref>,<xref rid="b95-ijo-51-01-0005" ref-type="bibr">95</xref>). Ikeda <italic>et al</italic> also identified that there were obvious variations in serum metabolic profiles of gastrointestinal cancers (including esophageal, gastric and colorectal) in contrast to healthy volunteers (<xref rid="b27-ijo-51-01-0005" ref-type="bibr">27</xref>). In particular, changes in the levels of 3-hydroxypropionic acid and pyruvic acid were sufficient to differentiate gastric cancer from esophageal and colorectal cancer, and showed high values for both sensitivity (84.6 and 70.0%) and specificity (71.4 and 90.0%) compared with conventional biomarkers (CA19-9 and CEA) (<xref rid="b27-ijo-51-01-0005" ref-type="bibr">27</xref>). The diagnostic potential of serum metabolic profiles between gastric cancer and non-cancer groups was also confirmed by Song <italic>et al</italic>, and these alterations occurred at early stage of gastric carcinogenesis (<xref rid="b26-ijo-51-01-0005" ref-type="bibr">26</xref>).</p>
<p>Recently, one urine metabolomics in gastric cancer found that 14 out of 17 metabolites detected from training set (94 urine samples) via GC-MS showed diagnostic value better than classic blood biomarkers on validation set (199 urine samples) (<xref rid="b34-ijo-51-01-0005" ref-type="bibr">34</xref>). Six of them (L-alanine, L-isoleucine, L-serine, L-threonine, L-proline and L-methionine) revealed satisfactory diagnostic values with the area under the ROC of &gt;0.75. Chan <italic>et al</italic> also revealed that gastric cancer has a unique urine metabolic profiles in contrast to benign gastric diseases and healthy patients, especially 2-hydroxyisobutyrate, 3-indoxylsulfate and alanine, producing a discriminatory model with the area under the curve (AUC) of 0.95 (<xref rid="b33-ijo-51-01-0005" ref-type="bibr">33</xref>). Another study reported that metabolites altered in urinary data of gastric cancer patients was predicted with higher sensitivity than CA19-9 and CEA (<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>).</p>
<p>In tissue testing, Wu and colleagues indicated that 18 metabolites were detected differently between the malignant tissues and the adjacent non-malignant tissues of gastric mucosa with AUC value of 0.9629 (<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>), but tissue testing was not a non-invasive approach in contrast to blood or urine testing. Our data, on the other hand, showed that higher levels of tyrosine, phenylalanine and tryptophan in the gastric juice were detected in the early phase of gastric carcinogenesis (<xref rid="b40-ijo-51-01-0005" ref-type="bibr">40</xref>), and the sensitivity and specificity for gastric cancer detection with phenylalanine was 87.9 and 79.4% respectively (<xref rid="b41-ijo-51-01-0005" ref-type="bibr">41</xref>).</p></sec>
<sec>
<title>Metastasis and prognosis</title>
<p>Most gastric cancer-related deaths occur as a result of metastasis, even among patients undergoing gastrectomy. Unfortunately, no molecular markers for predicting metastasis and prognosis are accessible.</p>
<p>Based on metabolomics, Wu and colleagues showed that five metabolites (increased L-cysteine, hypoxanthine and L-tyrosine; decreased phenanthrenol and butanoic acid) were detected differently between non-invasive (T1 and T2) and invasive (T3 and T4) groups, furthermore, 4-hydroxyphenyl-acetate, alanine, phenylacetylglycine, mannitol, glycolate and arginine levels were significantly correlated with cancer T stage (<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>). By establishing animal models with gastric cancer cell line SGC-7901, Chen <italic>et al</italic> confirmed that metabolites correlated to proline and serine metabolism could distinguish metastatic from non-metastatic specimens with an AUC value of 1.0 (<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>). Study conducted by Hu <italic>et al</italic> suggested that decreased levels of alanine, glycerol, L-proline, butanoic acid and L-threonic acid as well as increased levels of butanediotic acid and myo-inositol could detect non-metastatic and metastatic groups (AUC=1.00) (<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>).</p>
<p>Significantly, Chen and coworkers recently evaluated the prognostic value of 17 urinary metabolites, which have been identified differently between gastric cancer group and normal group, by following up 82 out of 112 gastric cancer cases for 3&#x02013;5 years after surgery (<xref rid="b34-ijo-51-01-0005" ref-type="bibr">34</xref>). They discovered that patients with higher levels of proline, p-cresol and 4-hydroxybenzoic acid display poor prognosis with median survival time 16, 15 and 15 months, respectively. Furthermore, the concentration of p-cresol closely correlated with gastric cancer stage, which was gradually increased with the stage of the patients.</p>
<p>It is possible that changes in proline might be essential in tumor metastasis. As we have mentioned above, proline in tumor tissues might result from the degradation of collagen (<xref rid="b73-ijo-51-01-0005" ref-type="bibr">73</xref>). This process mainly begins with the activation of MMPs and degradation of microenvironmental ECM, which partially accounts for the tumor invasion and metastasis (<xref rid="b96-ijo-51-01-0005" ref-type="bibr">96</xref>). In this respective, elevated proline serving as metastatic biomarker for gastric cancer is possible, but further research is necessary.</p></sec>
<sec>
<title>Treatment</title>
<p>Chemosensitivity prediction that aims to maximize the therapeutic response and minimize adverse effects is a difficult task in the treatment of advanced tumors. One of classical approaches for predicting the activity of anticancer agents is cell culture testing, which is mainly based on clone formation, cell metabolic activity assays, proliferation and tumor growth <italic>in vitro</italic> experiments. However, it must be noted that these methods still fail to fully reproduce the tumor microenvironment, although current patient-derived primary cell culture or patient-derived tumor xenograft models are able to retain cellular heterogeneity of original tumors (<xref rid="b97-ijo-51-01-0005" ref-type="bibr">97</xref>).</p>
<p>Lu <italic>et al</italic>, in particular, suggested that some conventional cytotoxic anticancer agents (vincristine, taxol, 5-fluorouracil, doxorubicin, cisplatin, camptothecin) lost their efficacy apparently when cultured PNAC-1 cells (pancreatic cancer) <italic>in vitro</italic> were deprived of glucose (<xref rid="b98-ijo-51-01-0005" ref-type="bibr">98</xref>). Similarly, a recent study also identified that high glucose conditions promoted SGC-7901 proliferation <italic>in vitro</italic> and reduced chemosensitivity <italic>in vivo</italic> or <italic>in vitro</italic> (<xref rid="b99-ijo-51-01-0005" ref-type="bibr">99</xref>). We could speculate that responses of gastric cancer against anticancer drugs in actual microenvironment <italic>in vivo</italic> might be considerably different from what we expect in culture condition. Therefore, utilizing metabolomics is considered to be a promising tool to assess the sensitivity of chemotherapy in virtual conditions and discovering therapeutic targets regarding specific tumor metabolism (<xref rid="b20-ijo-51-01-0005" ref-type="bibr">20</xref>,<xref rid="b21-ijo-51-01-0005" ref-type="bibr">21</xref>).</p>
<p>Wang <italic>et al</italic> applied high performance liquid chromatography coupled with a quadrupole time-of-flight mass spectrometer to predict chemotherapy response in a human xenograft model of gastric cancer administered with cisplatin plus 5-fluorouracil (5-FU) (<xref rid="b100-ijo-51-01-0005" ref-type="bibr">100</xref>). Consequently, 1-acyl-lysophosphatidylcholine and polyunsaturated fatty acid were proposed to surveil gastric cancer chemosensitivity, since 1-acyl-lysophosphatidylcholine can regulate the activity of enzymes like phospholipase A2 (PLA2) and lysophosphatidylcholine acetyltransferases. PLA2 catalyzes the production of arachidonic acid that is likely to promote cell cycle arrest and apoptosis dependent on ceramide pathway (<xref rid="b101-ijo-51-01-0005" ref-type="bibr">101</xref>,<xref rid="b102-ijo-51-01-0005" ref-type="bibr">102</xref>), while lysophosphatidylcholine acetyltransferases catalyzes phospholipid synthesis linked to tumor cell proliferation. Another study suggested that proline was reduced while glutamate increased dramatically, and PRODH (catalyzes the metabolic production of glutamate from proline proceeds) mRNA expression was upregulated 2-fold after 5-FU administration; but they were less affected in 5-FU-resistant cells (<xref rid="b103-ijo-51-01-0005" ref-type="bibr">103</xref>). Thus PRODH might make it possible to be a marker for assessing intracellular dynamic responses to 5-FU. Additionally, Kim and colleagues utilized <sup>1</sup>H-NMR to investigate the metabolic changes in urine sample following Adriamycin (ADR) treatment for gastric adenocarcinoma in an animal model (<xref rid="b104-ijo-51-01-0005" ref-type="bibr">104</xref>). This study revealed that levels of trimethylamine oxide, hippurate and taurine, which all decreased in tumor group without treatment, were increased dramatically after ADR disposal; while 2-oxoglutarate, 3-indoxylsulfate, trigonelline, trimethylamine and citrate recovered to those of normal group (<xref rid="b104-ijo-51-01-0005" ref-type="bibr">104</xref>). Alterations in these metabolites might be ascribed to the pharmacological activity of ADR that activates apoptotic process of gastric cancer cells via ADR-induced genotoxic stress.</p>
<p>In another study, dysregulation of pyruvic acid efflux in gastric cardia cancer was observed with the combination of proteomics and metabolomics (<xref rid="b38-ijo-51-01-0005" ref-type="bibr">38</xref>). Furthermore, Cai <italic>et al</italic> also found that downregulation of lactate dehydrogenase A (LDH-A) and overexpression of pyruvate dehydrogenase B (PDH-B) could force pyruvic acid into the Krebs cycle rather than the glycolysis process in gastric cancer cell line AGS, consequently inhibiting cell growth and migration (<xref rid="b38-ijo-51-01-0005" ref-type="bibr">38</xref>). In view of the above, LDH or PDH might serve as a therapeutic target in gastric cancer treatment.</p></sec></sec>
<sec sec-type="other">
<title>4. Current perspectives and future directions</title>
<p>As we indicated above, cumulative studies employing metabolomics have yielded initial and promising results in gastric cancer research. However, inconsistent results across studies can be observed, probably because of the different sensitivity of metabolomics methods (<xref rid="b105-ijo-51-01-0005" ref-type="bibr">105</xref>), variety of experimental subjects (patients, animal models or <italic>in vitro</italic> cell culture), and the number of samples. Additionally, values of those biomarkers should be further validated with larger cohorts and normalized metabolomics analysis. Furthermore, it should be noted that investigations targeted at the mechanism of the altered metabolism and specific metabolic pathways in gastric cancer are relatively deficient at present, so it is difficult to draw a clear dividing line on metabolism for common cancers and this disease based on a handful of studies that looked also at the role of metabolomics. Overall, exploring the metabolic disorders and gastric carcinogenesis still has far to go.</p>
<p>On the other hand, metabolomics locate at the downstream of genomics, transcriptomics and proteomics, mapping the complete metabolic changes under specific conditions associated with pathogenic factors, host or environmental co-effectors. However, it is essential to combine metabolomics with other-omics methods to get a more integrated understanding of gastric carcinogenesis (<xref rid="f1-ijo-51-01-0005" ref-type="fig">Fig. 1</xref>). For instance, metabolomic genome-wide association studies (mGWAS) have their priority in quantifying metabolic data and uncovering genetic variants affecting metabolite levels (<xref rid="b106-ijo-51-01-0005" ref-type="bibr">106</xref>). Impacts of the microbiome on the metabolome are also an area of increasing interest, because perturbation of gastrointestinal microbiota composition or function including <italic>Helicobacter pylori</italic> has been proved to play a role in gastric carcinogenesis (<xref rid="b107-ijo-51-01-0005" ref-type="bibr">107</xref>,<xref rid="b108-ijo-51-01-0005" ref-type="bibr">108</xref>). Furthermore, microbe-derived metabolites also produce effects on cancer cells, such as butanoic acid. Some research revealed that it can modulate immune response via the differentiation of colonic regulatory T cells (<xref rid="b109-ijo-51-01-0005" ref-type="bibr">109</xref>) and inhibit colonic tumor cells (<xref rid="b110-ijo-51-01-0005" ref-type="bibr">110</xref>,<xref rid="b111-ijo-51-01-0005" ref-type="bibr">111</xref>), although the signaling mechanism was not clearly understood. Thus, it can explain the fact that some changed metabolites in gastric cancer such as butanoic acid (<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>), mannitol (<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>) and p-cresol (<xref rid="b34-ijo-51-01-0005" ref-type="bibr">34</xref>) that are commonly thought of artificial substances, can originate from fermentation by microorganism in gastric flora. Given this, it is reasonable to presume that gastric flora might be incorporated into an in-depth study of the prominent disorders of metabolism in gastric cancer, but there is still a gap in further research.</p></sec>
<sec sec-type="other">
<title>5. Conclusions</title>
<p>Gastric cancer is one of the most malignant tumors worldwide, and remains a major global health threat. Though its pathogenesis is unknown, promising discoveries have been made with the emergence of -omics studies. Most strikingly, metabolomics provides us in-depth information on metabolic perturbation between healthy and neoplastic states in the stomach, and further help us discovery disease-specific biomarkers. As technology advances and our understanding of metabolic perturbation in gastric cancer grows, new diagnostic and therapeutic targets will undoubtedly emerge. Ultimately, these advances can be translated into clinical practice to realize the goal of truly personalized cancer treatment.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>This study was supported by National Natural Science Foundation of China (no. 81672410).</p></ack>
<ref-list>
<title>References</title>
<ref id="b1-ijo-51-01-0005"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Miller</surname><given-names>KD</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Cancer statistics, 2016</article-title><source>CA Cancer J Clin</source><volume>66</volume><fpage>7</fpage><lpage>30</lpage><year>2016</year><pub-id pub-id-type="doi">10.3322/caac.21332</pub-id><pub-id pub-id-type="pmid">26742998</pub-id></element-citation></ref>
<ref id="b2-ijo-51-01-0005"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Conteduca</surname><given-names>V</given-names></name><name><surname>Sansonno</surname><given-names>D</given-names></name><name><surname>Lauletta</surname><given-names>G</given-names></name><name><surname>Russi</surname><given-names>S</given-names></name><name><surname>Ingravallo</surname><given-names>G</given-names></name><name><surname>Dammacco</surname><given-names>F</given-names></name></person-group><article-title>H. pylori infection and gastric cancer: State of the art (Review)</article-title><source>Int J Oncol</source><volume>42</volume><fpage>5</fpage><lpage>18</lpage><year>2013</year></element-citation></ref>
<ref id="b3-ijo-51-01-0005"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Amieva</surname><given-names>M</given-names></name><name><surname>Peek</surname><given-names>RM</given-names><suffix>Jr</suffix></name></person-group><article-title>Pathobiology of Helicobacter pylori-induced gastric cancer</article-title><source>Gastroenterology</source><volume>150</volume><fpage>64</fpage><lpage>78</lpage><year>2016</year><pub-id pub-id-type="doi">10.1053/j.gastro.2015.09.004</pub-id></element-citation></ref>
<ref id="b4-ijo-51-01-0005"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>J</given-names></name><name><surname>Yum</surname><given-names>S</given-names></name><name><surname>Kang</surname><given-names>C</given-names></name><name><surname>Kang</surname><given-names>SJ</given-names></name></person-group><article-title>Gene-gene interactions in gastrointestinal cancer susceptibility</article-title><source>Oncotarget</source><volume>7</volume><fpage>67612</fpage><lpage>67625</lpage><year>2016</year><pub-id pub-id-type="pmid">27588484</pub-id><pub-id pub-id-type="pmcid">5341900</pub-id></element-citation></ref>
<ref id="b5-ijo-51-01-0005"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Raei</surname><given-names>N</given-names></name><name><surname>Behrouz</surname><given-names>B</given-names></name><name><surname>Zahri</surname><given-names>S</given-names></name><name><surname>Latifi-Navid</surname><given-names>S</given-names></name></person-group><article-title>Helicobacter pylori infection and dietary factors act synergistically to promote gastric cancer</article-title><source>Asian Pac J Cancer Prev</source><volume>17</volume><fpage>917</fpage><lpage>921</lpage><year>2016</year><pub-id pub-id-type="doi">10.7314/APJCP.2016.17.3.917</pub-id><pub-id pub-id-type="pmid">27039812</pub-id></element-citation></ref>
<ref id="b6-ijo-51-01-0005"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Warburg</surname><given-names>O</given-names></name></person-group><article-title>On respiratory impairment in cancer cells</article-title><source>Science</source><volume>124</volume><fpage>269</fpage><lpage>270</lpage><year>1956</year><pub-id pub-id-type="pmid">13351639</pub-id></element-citation></ref>
<ref id="b7-ijo-51-01-0005"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hanahan</surname><given-names>D</given-names></name><name><surname>Weinberg</surname><given-names>RA</given-names></name></person-group><article-title>Hallmarks of cancer: The next generation</article-title><source>Cell</source><volume>144</volume><fpage>646</fpage><lpage>674</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.cell.2011.02.013</pub-id><pub-id pub-id-type="pmid">21376230</pub-id></element-citation></ref>
<ref id="b8-ijo-51-01-0005"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yun</surname><given-names>J</given-names></name><name><surname>Rago</surname><given-names>C</given-names></name><name><surname>Cheong</surname><given-names>I</given-names></name><name><surname>Pagliarini</surname><given-names>R</given-names></name><name><surname>Angenendt</surname><given-names>P</given-names></name><name><surname>Rajagopalan</surname><given-names>H</given-names></name><name><surname>Schmidt</surname><given-names>K</given-names></name><name><surname>Willson</surname><given-names>JK</given-names></name><name><surname>Markowitz</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>S</given-names></name><etal/></person-group><article-title>Glucose deprivation contributes to the development of KRAS pathway mutations in tumor cells</article-title><source>Science</source><volume>325</volume><fpage>1555</fpage><lpage>1559</lpage><year>2009</year><pub-id pub-id-type="doi">10.1126/science.1174229</pub-id><pub-id pub-id-type="pmid">19661383</pub-id><pub-id pub-id-type="pmcid">2820374</pub-id></element-citation></ref>
<ref id="b9-ijo-51-01-0005"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>W</given-names></name><name><surname>Yang</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Kim</surname><given-names>SH</given-names></name><name><surname>Ito</surname><given-names>S</given-names></name><name><surname>Yang</surname><given-names>C</given-names></name><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Xiao</surname><given-names>MT</given-names></name><etal/></person-group><article-title>Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of &#x003B1;-ketoglutarate-dependent dioxygenases</article-title><source>Cancer Cell</source><volume>19</volume><fpage>17</fpage><lpage>30</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.ccr.2010.12.014</pub-id><pub-id pub-id-type="pmid">21251613</pub-id><pub-id pub-id-type="pmcid">3229304</pub-id></element-citation></ref>
<ref id="b10-ijo-51-01-0005"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dang</surname><given-names>L</given-names></name><name><surname>White</surname><given-names>DW</given-names></name><name><surname>Gross</surname><given-names>S</given-names></name><name><surname>Bennett</surname><given-names>BD</given-names></name><name><surname>Bittinger</surname><given-names>MA</given-names></name><name><surname>Driggers</surname><given-names>EM</given-names></name><name><surname>Fantin</surname><given-names>VR</given-names></name><name><surname>Jang</surname><given-names>HG</given-names></name><name><surname>Jin</surname><given-names>S</given-names></name><name><surname>Keenan</surname><given-names>MC</given-names></name><etal/></person-group><article-title>Cancer-associated IDH1 mutations produce 2-hydroxyglutarate</article-title><source>Nature</source><volume>465</volume><fpage>966</fpage><year>2010</year><pub-id pub-id-type="doi">10.1038/nature09132</pub-id><pub-id pub-id-type="pmid">20559394</pub-id><pub-id pub-id-type="pmcid">3766976</pub-id></element-citation></ref>
<ref id="b11-ijo-51-01-0005"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fischer</surname><given-names>K</given-names></name><name><surname>Hoffmann</surname><given-names>P</given-names></name><name><surname>Voelkl</surname><given-names>S</given-names></name><name><surname>Meidenbauer</surname><given-names>N</given-names></name><name><surname>Ammer</surname><given-names>J</given-names></name><name><surname>Edinger</surname><given-names>M</given-names></name><name><surname>Gottfried</surname><given-names>E</given-names></name><name><surname>Schwarz</surname><given-names>S</given-names></name><name><surname>Rothe</surname><given-names>G</given-names></name><name><surname>Hoves</surname><given-names>S</given-names></name><etal/></person-group><article-title>Inhibitory effect of tumor cell-derived lactic acid on human T cells</article-title><source>Blood</source><volume>109</volume><fpage>3812</fpage><lpage>3819</lpage><year>2007</year><pub-id pub-id-type="doi">10.1182/blood-2006-07-035972</pub-id><pub-id pub-id-type="pmid">17255361</pub-id></element-citation></ref>
<ref id="b12-ijo-51-01-0005"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dietl</surname><given-names>K</given-names></name><name><surname>Renner</surname><given-names>K</given-names></name><name><surname>Dettmer</surname><given-names>K</given-names></name><name><surname>Timischl</surname><given-names>B</given-names></name><name><surname>Eberhart</surname><given-names>K</given-names></name><name><surname>Dorn</surname><given-names>C</given-names></name><name><surname>Hellerbrand</surname><given-names>C</given-names></name><name><surname>Kastenberger</surname><given-names>M</given-names></name><name><surname>Kunz-Schughart</surname><given-names>LA</given-names></name><name><surname>Oefner</surname><given-names>PJ</given-names></name><etal/></person-group><article-title>Lactic acid and acidification inhibit TNF secretion and glycolysis of human monocytes</article-title><source>J Immunol</source><volume>184</volume><fpage>1200</fpage><lpage>1209</lpage><year>2010</year><pub-id pub-id-type="doi">10.4049/jimmunol.0902584</pub-id></element-citation></ref>
<ref id="b13-ijo-51-01-0005"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herber</surname><given-names>DL</given-names></name><name><surname>Cao</surname><given-names>W</given-names></name><name><surname>Nefedova</surname><given-names>Y</given-names></name><name><surname>Novitskiy</surname><given-names>SV</given-names></name><name><surname>Nagaraj</surname><given-names>S</given-names></name><name><surname>Tyurin</surname><given-names>VA</given-names></name><name><surname>Corzo</surname><given-names>A</given-names></name><name><surname>Cho</surname><given-names>HI</given-names></name><name><surname>Celis</surname><given-names>E</given-names></name><name><surname>Lennox</surname><given-names>B</given-names></name><etal/></person-group><article-title>Lipid accumulation and dendritic cell dysfunction in cancer</article-title><source>Nat Med</source><volume>16</volume><fpage>880</fpage><lpage>886</lpage><year>2010</year><pub-id pub-id-type="doi">10.1038/nm.2172</pub-id><pub-id pub-id-type="pmid">20622859</pub-id><pub-id pub-id-type="pmcid">2917488</pub-id></element-citation></ref>
<ref id="b14-ijo-51-01-0005"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Ahn</surname><given-names>WS</given-names></name><name><surname>Gameiro</surname><given-names>PA</given-names></name><name><surname>Keibler</surname><given-names>MA</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name><name><surname>Stephanopoulos</surname><given-names>G</given-names></name></person-group><article-title>13C isotope-assisted methods for quantifying glutamine metabolism in cancer cells</article-title><source>Methods Enzymol</source><volume>542</volume><fpage>369</fpage><lpage>389</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/B978-0-12-416618-9.00019-4</pub-id><pub-id pub-id-type="pmid">24862276</pub-id><pub-id pub-id-type="pmcid">4392845</pub-id></element-citation></ref>
<ref id="b15-ijo-51-01-0005"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Beger</surname><given-names>RD</given-names></name></person-group><article-title>A review of applications of metabolomics in cancer</article-title><source>Metabolites</source><volume>3</volume><fpage>552</fpage><lpage>574</lpage><year>2013</year><pub-id pub-id-type="doi">10.3390/metabo3030552</pub-id><pub-id pub-id-type="pmid">24958139</pub-id><pub-id pub-id-type="pmcid">3901293</pub-id></element-citation></ref>
<ref id="b16-ijo-51-01-0005"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Putri</surname><given-names>SP</given-names></name><name><surname>Yamamoto</surname><given-names>S</given-names></name><name><surname>Tsugawa</surname><given-names>H</given-names></name><name><surname>Fukusaki</surname><given-names>E</given-names></name></person-group><article-title>Current metabolomics: Technological advances</article-title><source>J Biosci Bioeng</source><volume>116</volume><fpage>9</fpage><lpage>16</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.jbiosc.2013.01.004</pub-id><pub-id pub-id-type="pmid">23466298</pub-id></element-citation></ref>
<ref id="b17-ijo-51-01-0005"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Duarte</surname><given-names>IF</given-names></name><name><surname>Diaz</surname><given-names>SO</given-names></name><name><surname>Gil</surname><given-names>AM</given-names></name></person-group><article-title>NMR metabolomics of human blood and urine in disease research</article-title><source>J Pharm Biomed Anal</source><volume>93</volume><fpage>17</fpage><lpage>26</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.jpba.2013.09.025</pub-id><pub-id pub-id-type="pmid">24854435</pub-id></element-citation></ref>
<ref id="b18-ijo-51-01-0005"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ussher</surname><given-names>JR</given-names></name><name><surname>Elmariah</surname><given-names>S</given-names></name><name><surname>Gerszten</surname><given-names>RE</given-names></name><name><surname>Dyck</surname><given-names>JR</given-names></name></person-group><article-title>The emerging role of metabolomics in the diagnosis and prognosis of cardiovascular disease</article-title><source>J Am Coll Cardiol</source><volume>68</volume><fpage>2850</fpage><lpage>2870</lpage><year>2016</year><pub-id pub-id-type="doi">10.1016/j.jacc.2016.09.972</pub-id><pub-id pub-id-type="pmid">28007146</pub-id></element-citation></ref>
<ref id="b19-ijo-51-01-0005"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guma</surname><given-names>M</given-names></name><name><surname>Tiziani</surname><given-names>S</given-names></name><name><surname>Firestein</surname><given-names>GS</given-names></name></person-group><article-title>Metabolomics in rheumatic diseases: Desperately seeking biomarkers</article-title><source>Nat Rev Rheumatol</source><volume>12</volume><fpage>269</fpage><lpage>281</lpage><year>2016</year><pub-id pub-id-type="doi">10.1038/nrrheum.2016.1</pub-id><pub-id pub-id-type="pmid">26935283</pub-id><pub-id pub-id-type="pmcid">4963238</pub-id></element-citation></ref>
<ref id="b20-ijo-51-01-0005"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herrmann</surname><given-names>K</given-names></name><name><surname>Walch</surname><given-names>A</given-names></name><name><surname>Balluff</surname><given-names>B</given-names></name><name><surname>T&#x000E4;nzer</surname><given-names>M</given-names></name><name><surname>H&#x000F6;fler</surname><given-names>H</given-names></name><name><surname>Krause</surname><given-names>BJ</given-names></name><name><surname>Schwaiger</surname><given-names>M</given-names></name><name><surname>Friess</surname><given-names>H</given-names></name><name><surname>Schmid</surname><given-names>RM</given-names></name><name><surname>Ebert</surname><given-names>MP</given-names></name></person-group><article-title>Proteomic and metabolic prediction of response to therapy in gastrointestinal cancers</article-title><source>Nat Clin Pract Gastroenterol Hepatol</source><volume>6</volume><fpage>170</fpage><lpage>183</lpage><year>2009</year><pub-id pub-id-type="doi">10.1038/ncpgasthep1366</pub-id><pub-id pub-id-type="pmid">19259108</pub-id></element-citation></ref>
<ref id="b21-ijo-51-01-0005"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Armitage</surname><given-names>EG</given-names></name><name><surname>Southam</surname><given-names>AD</given-names></name></person-group><article-title>Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics</article-title><source>Metabolomics</source><volume>12</volume><fpage>146</fpage><year>2016</year><pub-id pub-id-type="doi">10.1007/s11306-016-1093-7</pub-id><pub-id pub-id-type="pmid">27616976</pub-id><pub-id pub-id-type="pmcid">4987388</pub-id></element-citation></ref>
<ref id="b22-ijo-51-01-0005"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jayavelu</surname><given-names>ND</given-names></name><name><surname>Bar</surname><given-names>NS</given-names></name></person-group><article-title>Metabolomic studies of human gastric cancer (Review)</article-title><source>World J Gastroenterol</source><volume>20</volume><fpage>8092</fpage><lpage>8101</lpage><year>2014</year><pub-id pub-id-type="doi">10.3748/wjg.v20.i25.8092</pub-id><pub-id pub-id-type="pmid">25009381</pub-id><pub-id pub-id-type="pmcid">4081680</pub-id></element-citation></ref>
<ref id="b23-ijo-51-01-0005"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chan</surname><given-names>AW</given-names></name><name><surname>Gill</surname><given-names>RS</given-names></name><name><surname>Schiller</surname><given-names>D</given-names></name><name><surname>Sawyer</surname><given-names>MB</given-names></name></person-group><article-title>Potential role of metabolomics in diagnosis and surveillance of gastric cancer</article-title><source>World J Gastroenterol</source><volume>20</volume><fpage>12874</fpage><lpage>12882</lpage><year>2014</year><pub-id pub-id-type="doi">10.3748/wjg.v20.i36.12874</pub-id><pub-id pub-id-type="pmid">25278684</pub-id><pub-id pub-id-type="pmcid">4177469</pub-id></element-citation></ref>
<ref id="b24-ijo-51-01-0005"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Miyagi</surname><given-names>Y</given-names></name><name><surname>Higashiyama</surname><given-names>M</given-names></name><name><surname>Gochi</surname><given-names>A</given-names></name><name><surname>Akaike</surname><given-names>M</given-names></name><name><surname>Ishikawa</surname><given-names>T</given-names></name><name><surname>Miura</surname><given-names>T</given-names></name><name><surname>Saruki</surname><given-names>N</given-names></name><name><surname>Bando</surname><given-names>E</given-names></name><name><surname>Kimura</surname><given-names>H</given-names></name><name><surname>Imamura</surname><given-names>F</given-names></name><etal/></person-group><article-title>Plasma free amino acid profiling of five types of cancer patients and its application for early detection</article-title><source>PLoS One</source><volume>6</volume><fpage>e24143</fpage><year>2011</year><pub-id pub-id-type="doi">10.1371/journal.pone.0024143</pub-id><pub-id pub-id-type="pmid">21915291</pub-id><pub-id pub-id-type="pmcid">3168486</pub-id></element-citation></ref>
<ref id="b25-ijo-51-01-0005"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>L</given-names></name><name><surname>Aa</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Sun</surname><given-names>M</given-names></name><name><surname>Qian</surname><given-names>S</given-names></name><name><surname>Cheng</surname><given-names>L</given-names></name><name><surname>Yang</surname><given-names>S</given-names></name><name><surname>Shi</surname><given-names>R</given-names></name></person-group><article-title>Metabolomic phenotype of gastric cancer and precancerous stages based on gas chromatography time-of-flight mass spectrometry</article-title><source>J Gastroenterol Hepatol</source><volume>26</volume><fpage>1290</fpage><lpage>1297</lpage><year>2011</year><pub-id pub-id-type="doi">10.1111/j.1440-1746.2011.06724.x</pub-id><pub-id pub-id-type="pmid">21443661</pub-id></element-citation></ref>
<ref id="b26-ijo-51-01-0005"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Song</surname><given-names>H</given-names></name><name><surname>Peng</surname><given-names>JS</given-names></name><name><surname>Dong-Sheng</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>ZL</given-names></name><name><surname>Liu</surname><given-names>HL</given-names></name><name><surname>Zeng</surname><given-names>YK</given-names></name><name><surname>Shi</surname><given-names>XP</given-names></name><name><surname>Lu</surname><given-names>BY</given-names></name></person-group><article-title>Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry</article-title><source>Braz J Med Biol Res</source><volume>45</volume><fpage>78</fpage><lpage>85</lpage><year>2012</year><pub-id pub-id-type="doi">10.1590/S0100-879X2011007500158</pub-id></element-citation></ref>
<ref id="b27-ijo-51-01-0005"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ikeda</surname><given-names>A</given-names></name><name><surname>Nishiumi</surname><given-names>S</given-names></name><name><surname>Shinohara</surname><given-names>M</given-names></name><name><surname>Yoshie</surname><given-names>T</given-names></name><name><surname>Hatano</surname><given-names>N</given-names></name><name><surname>Okuno</surname><given-names>T</given-names></name><name><surname>Bamba</surname><given-names>T</given-names></name><name><surname>Fukusaki</surname><given-names>E</given-names></name><name><surname>Takenawa</surname><given-names>T</given-names></name><name><surname>Azuma</surname><given-names>T</given-names></name><etal/></person-group><article-title>Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer</article-title><source>Biomed Chromatogr</source><volume>26</volume><fpage>548</fpage><lpage>558</lpage><year>2012</year><pub-id pub-id-type="doi">10.1002/bmc.1671</pub-id></element-citation></ref>
<ref id="b28-ijo-51-01-0005"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aa</surname><given-names>J</given-names></name><name><surname>Yu</surname><given-names>L</given-names></name><name><surname>Sun</surname><given-names>M</given-names></name><name><surname>Liu</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>M</given-names></name><name><surname>Cao</surname><given-names>B</given-names></name><name><surname>Shi</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Cheng</surname><given-names>L</given-names></name><name><surname>Zhou</surname><given-names>J</given-names></name><etal/></person-group><article-title>Metabolic features of the tumor microenvironment of gastric cancer and the link to the systemic macroenvironment</article-title><source>Metabolomics</source><volume>8</volume><fpage>164</fpage><lpage>173</lpage><year>2012</year><pub-id pub-id-type="doi">10.1007/s11306-011-0297-0</pub-id></element-citation></ref>
<ref id="b29-ijo-51-01-0005"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname><given-names>JM</given-names></name><name><surname>Park</surname><given-names>WS</given-names></name><name><surname>Song</surname><given-names>KY</given-names></name><name><surname>Lee</surname><given-names>HJ</given-names></name><name><surname>Jung</surname><given-names>BH</given-names></name></person-group><article-title>Development of simultaneous analysis of tryptophan metabolites in serum and gastric juice - an investigation towards establishing a biomarker test for gastric cancer diagnosis</article-title><source>Biomed Chromatogr</source><volume>30</volume><fpage>1963</fpage><lpage>1974</lpage><year>2016</year><pub-id pub-id-type="doi">10.1002/bmc.3773</pub-id><pub-id pub-id-type="pmid">27240299</pub-id></element-citation></ref>
<ref id="b30-ijo-51-01-0005"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname><given-names>JD</given-names></name><name><surname>Tang</surname><given-names>HQ</given-names></name><name><surname>Zhang</surname><given-names>Q</given-names></name><name><surname>Fan</surname><given-names>J</given-names></name><name><surname>Hong</surname><given-names>J</given-names></name><name><surname>Gu</surname><given-names>JZ</given-names></name><name><surname>Chen</surname><given-names>JL</given-names></name></person-group><article-title>Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS</article-title><source>World J Gastroenterol</source><volume>17</volume><fpage>727</fpage><lpage>734</lpage><year>2011</year><pub-id pub-id-type="doi">10.3748/wjg.v17.i6.727</pub-id><pub-id pub-id-type="pmid">21390142</pub-id><pub-id pub-id-type="pmcid">3042650</pub-id></element-citation></ref>
<ref id="b31-ijo-51-01-0005"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jung</surname><given-names>J</given-names></name><name><surname>Jung</surname><given-names>Y</given-names></name><name><surname>Bang</surname><given-names>EJ</given-names></name><name><surname>Cho</surname><given-names>SI</given-names></name><name><surname>Jang</surname><given-names>YJ</given-names></name><name><surname>Kwak</surname><given-names>JM</given-names></name><name><surname>Ryu</surname><given-names>DH</given-names></name><name><surname>Park</surname><given-names>S</given-names></name><name><surname>Hwang</surname><given-names>GS</given-names></name></person-group><article-title>Noninvasive diagnosis and evaluation of curative surgery for gastric cancer by using NMR-based metabolomic profiling</article-title><source>Ann Surg Oncol</source><volume>21</volume><issue>Suppl 4</issue><fpage>S736</fpage><lpage>S742</lpage><year>2014</year><pub-id pub-id-type="doi">10.1245/s10434-014-3886-0</pub-id><pub-id pub-id-type="pmid">25092158</pub-id></element-citation></ref>
<ref id="b32-ijo-51-01-0005"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liang</surname><given-names>Q</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Li</surname><given-names>B</given-names></name></person-group><article-title>Metabolomic analysis using liquid chromatography/mass spectrometry for gastric cancer</article-title><source>Appl Biochem Biotechnol</source><volume>176</volume><fpage>2170</fpage><lpage>2184</lpage><year>2015</year><pub-id pub-id-type="doi">10.1007/s12010-015-1706-z</pub-id><pub-id pub-id-type="pmid">26088916</pub-id></element-citation></ref>
<ref id="b33-ijo-51-01-0005"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chan</surname><given-names>AW</given-names></name><name><surname>Mercier</surname><given-names>P</given-names></name><name><surname>Schiller</surname><given-names>D</given-names></name><name><surname>Bailey</surname><given-names>R</given-names></name><name><surname>Robbins</surname><given-names>S</given-names></name><name><surname>Eurich</surname><given-names>DT</given-names></name><name><surname>Sawyer</surname><given-names>MB</given-names></name><name><surname>Broadhurst</surname><given-names>D</given-names></name></person-group><article-title>(1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer</article-title><source>Br J Cancer</source><volume>114</volume><fpage>59</fpage><lpage>62</lpage><year>2016</year><pub-id pub-id-type="doi">10.1038/bjc.2015.414</pub-id></element-citation></ref>
<ref id="b34-ijo-51-01-0005"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Guo</surname><given-names>L</given-names></name><name><surname>Liu</surname><given-names>L</given-names></name><name><surname>Wen</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Yan</surname><given-names>M</given-names></name><name><surname>Li</surname><given-names>Z</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Nan</surname><given-names>P</given-names></name><etal/></person-group><article-title>A characteristic biosignature for discrimination of gastric cancer from healthy population by high throughput GC-MS analysis</article-title><source>Oncotarget</source><volume>7</volume><fpage>87496</fpage><lpage>87510</lpage><year>2016</year><pub-id pub-id-type="pmid">27589838</pub-id><pub-id pub-id-type="pmcid">5350005</pub-id></element-citation></ref>
<ref id="b35-ijo-51-01-0005"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hirayama</surname><given-names>A</given-names></name><name><surname>Kami</surname><given-names>K</given-names></name><name><surname>Sugimoto</surname><given-names>M</given-names></name><name><surname>Sugawara</surname><given-names>M</given-names></name><name><surname>Toki</surname><given-names>N</given-names></name><name><surname>Onozuka</surname><given-names>H</given-names></name><name><surname>Kinoshita</surname><given-names>T</given-names></name><name><surname>Saito</surname><given-names>N</given-names></name><name><surname>Ochiai</surname><given-names>A</given-names></name><name><surname>Tomita</surname><given-names>M</given-names></name><etal/></person-group><article-title>Quantitative metabolome profiling of colon and stomach cancer microenvironment by capillary electrophoresis time-of-flight mass spectrometry</article-title><source>Cancer Res</source><volume>69</volume><fpage>4918</fpage><lpage>4925</lpage><year>2009</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-08-4806</pub-id><pub-id pub-id-type="pmid">19458066</pub-id></element-citation></ref>
<ref id="b36-ijo-51-01-0005"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>JL</given-names></name><name><surname>Tang</surname><given-names>HQ</given-names></name><name><surname>Hu</surname><given-names>JD</given-names></name><name><surname>Fan</surname><given-names>J</given-names></name><name><surname>Hong</surname><given-names>J</given-names></name><name><surname>Gu</surname><given-names>JZ</given-names></name></person-group><article-title>Metabolomics of gastric cancer metastasis detected by gas chromatography and mass spectrometry</article-title><source>World J Gastroenterol</source><volume>16</volume><fpage>5874</fpage><lpage>5880</lpage><year>2010</year><pub-id pub-id-type="doi">10.3748/wjg.v16.i46.5874</pub-id><pub-id pub-id-type="pmid">21155010</pub-id><pub-id pub-id-type="pmcid">3001980</pub-id></element-citation></ref>
<ref id="b37-ijo-51-01-0005"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>H</given-names></name><name><surname>Xue</surname><given-names>R</given-names></name><name><surname>Tang</surname><given-names>Z</given-names></name><name><surname>Deng</surname><given-names>C</given-names></name><name><surname>Liu</surname><given-names>T</given-names></name><name><surname>Zeng</surname><given-names>H</given-names></name><name><surname>Sun</surname><given-names>Y</given-names></name><name><surname>Shen</surname><given-names>X</given-names></name></person-group><article-title>Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry</article-title><source>Anal Bioanal Chem</source><volume>396</volume><fpage>1385</fpage><lpage>1395</lpage><year>2010</year><pub-id pub-id-type="doi">10.1007/s00216-009-3317-4</pub-id></element-citation></ref>
<ref id="b38-ijo-51-01-0005"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cai</surname><given-names>Z</given-names></name><name><surname>Zhao</surname><given-names>JS</given-names></name><name><surname>Li</surname><given-names>JJ</given-names></name><name><surname>Peng</surname><given-names>DN</given-names></name><name><surname>Wang</surname><given-names>XY</given-names></name><name><surname>Chen</surname><given-names>TL</given-names></name><name><surname>Qiu</surname><given-names>YP</given-names></name><name><surname>Chen</surname><given-names>PP</given-names></name><name><surname>Li</surname><given-names>WJ</given-names></name><name><surname>Xu</surname><given-names>LY</given-names></name><etal/></person-group><article-title>A combined proteomics and metabolomics profiling of gastric cardia cancer reveals characteristic dysregulations in glucose metabolism</article-title><source>Mol Cell Proteomics</source><volume>9</volume><fpage>2617</fpage><lpage>2628</lpage><year>2010</year><pub-id pub-id-type="doi">10.1074/mcp.M110.000661</pub-id><pub-id pub-id-type="pmid">20699381</pub-id><pub-id pub-id-type="pmcid">3101851</pub-id></element-citation></ref>
<ref id="b39-ijo-51-01-0005"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Song</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Liu</surname><given-names>HL</given-names></name><name><surname>Wu</surname><given-names>XB</given-names></name><name><surname>Wang</surname><given-names>HS</given-names></name><name><surname>Liu</surname><given-names>ZH</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Diao</surname><given-names>DC</given-names></name><name><surname>Chen</surname><given-names>HL</given-names></name><name><surname>Peng</surname><given-names>JS</given-names></name></person-group><article-title>Tissue metabolomic fingerprinting reveals metabolic disorders associated with human gastric cancer morbidity</article-title><source>Oncol Rep</source><volume>26</volume><fpage>431</fpage><lpage>438</lpage><year>2011</year><pub-id pub-id-type="pmid">21567103</pub-id></element-citation></ref>
<ref id="b40-ijo-51-01-0005"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Deng</surname><given-names>K</given-names></name><name><surname>Lin</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>L</given-names></name><name><surname>Geng</surname><given-names>Q</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Xu</surname><given-names>M</given-names></name><name><surname>Na</surname><given-names>R</given-names></name></person-group><article-title>Three aromatic amino acids in gastric juice as potential biomarkers for gastric malignancies</article-title><source>Anal Chim Acta</source><volume>694</volume><fpage>100</fpage><lpage>107</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.aca.2011.03.053</pub-id><pub-id pub-id-type="pmid">21565309</pub-id></element-citation></ref>
<ref id="b41-ijo-51-01-0005"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Deng</surname><given-names>K</given-names></name><name><surname>Lin</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>M</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name></person-group><article-title>High levels of aromatic amino acids in gastric juice during the early stages of gastric cancer progression</article-title><source>PLoS One</source><volume>7</volume><fpage>e49434</fpage><year>2012</year><pub-id pub-id-type="doi">10.1371/journal.pone.0049434</pub-id><pub-id pub-id-type="pmid">23152906</pub-id><pub-id pub-id-type="pmcid">3496670</pub-id></element-citation></ref>
<ref id="b42-ijo-51-01-0005"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Koukourakis</surname><given-names>MI</given-names></name><name><surname>Pitiakoudis</surname><given-names>M</given-names></name><name><surname>Giatromanolaki</surname><given-names>A</given-names></name><name><surname>Tsarouha</surname><given-names>A</given-names></name><name><surname>Polychronidis</surname><given-names>A</given-names></name><name><surname>Sivridis</surname><given-names>E</given-names></name><name><surname>Simopoulos</surname><given-names>C</given-names></name></person-group><article-title>Oxygen and glucose consumption in gastrointestinal adenocarcinomas: Correlation with markers of hypoxia, acidity and anaerobic glycolysis</article-title><source>Cancer Sci</source><volume>97</volume><fpage>1056</fpage><lpage>1060</lpage><year>2006</year><pub-id pub-id-type="doi">10.1111/j.1349-7006.2006.00298.x</pub-id><pub-id pub-id-type="pmid">16984378</pub-id></element-citation></ref>
<ref id="b43-ijo-51-01-0005"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>PL</given-names></name><name><surname>Mathupala</surname><given-names>S</given-names></name><name><surname>Rempel</surname><given-names>A</given-names></name><name><surname>Geschwind</surname><given-names>JF</given-names></name><name><surname>Ko</surname><given-names>YH</given-names></name></person-group><article-title>Mitochondrial bound type II hexokinase: A key player in the growth and survival of many cancers and an ideal prospect for therapeutic intervention</article-title><source>Biochim Biophys Acta</source><volume>1555</volume><fpage>14</fpage><lpage>20</lpage><year>2002</year><pub-id pub-id-type="doi">10.1016/S0005-2728(02)00248-7</pub-id><pub-id pub-id-type="pmid">12206885</pub-id></element-citation></ref>
<ref id="b44-ijo-51-01-0005"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gatenby</surname><given-names>RA</given-names></name><name><surname>Gillies</surname><given-names>RJ</given-names></name></person-group><article-title>Why do cancers have high aerobic glycolysis?</article-title><source>Nat Rev Cancer</source><volume>4</volume><fpage>891</fpage><lpage>899</lpage><year>2004</year><pub-id pub-id-type="doi">10.1038/nrc1478</pub-id><pub-id pub-id-type="pmid">15516961</pub-id></element-citation></ref>
<ref id="b45-ijo-51-01-0005"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yuan</surname><given-names>LW</given-names></name><name><surname>Yamashita</surname><given-names>H</given-names></name><name><surname>Seto</surname><given-names>Y</given-names></name></person-group><article-title>Glucose metabolism in gastric cancer: The cutting-edge</article-title><source>World J Gastroenterol</source><volume>22</volume><fpage>2046</fpage><lpage>2059</lpage><year>2016</year><pub-id pub-id-type="doi">10.3748/wjg.v22.i6.2046</pub-id><pub-id pub-id-type="pmid">26877609</pub-id><pub-id pub-id-type="pmcid">4726677</pub-id></element-citation></ref>
<ref id="b46-ijo-51-01-0005"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Israelsen</surname><given-names>WJ</given-names></name><name><surname>Vander Heiden</surname><given-names>MG</given-names></name></person-group><article-title>Pyruvate kinase: Function, regulation and role in cancer</article-title><source>Semin Cell Dev Biol</source><volume>43</volume><fpage>43</fpage><lpage>51</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.semcdb.2015.08.004</pub-id><pub-id pub-id-type="pmid">26277545</pub-id><pub-id pub-id-type="pmcid">4662905</pub-id></element-citation></ref>
<ref id="b47-ijo-51-01-0005"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>J</given-names></name><name><surname>Hu</surname><given-names>L</given-names></name><name><surname>Chen</surname><given-names>M</given-names></name><name><surname>Cao</surname><given-names>W</given-names></name><name><surname>Chen</surname><given-names>H</given-names></name><name><surname>He</surname><given-names>T</given-names></name></person-group><article-title>Pyruvate kinase M2 overexpression and poor prognosis in solid tumors of digestive system: Evidence from 16 cohort studies</article-title><source>Onco Targets Ther</source><volume>9</volume><fpage>4277</fpage><lpage>4288</lpage><year>2016</year><pub-id pub-id-type="doi">10.2147/OTT.S106508</pub-id><pub-id pub-id-type="pmid">27478385</pub-id><pub-id pub-id-type="pmcid">4951066</pub-id></element-citation></ref>
<ref id="b48-ijo-51-01-0005"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Augoff</surname><given-names>K</given-names></name><name><surname>Hryniewicz-Jankowska</surname><given-names>A</given-names></name><name><surname>Tabola</surname><given-names>R</given-names></name></person-group><article-title>Lactate dehydrogenase 5: An old friend and a new hope in the war on cancer</article-title><source>Cancer Lett</source><volume>358</volume><fpage>1</fpage><lpage>7</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.canlet.2014.12.035</pub-id></element-citation></ref>
<ref id="b49-ijo-51-01-0005"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Le</surname><given-names>A</given-names></name><name><surname>Cooper</surname><given-names>CR</given-names></name><name><surname>Gouw</surname><given-names>AM</given-names></name><name><surname>Dinavahi</surname><given-names>R</given-names></name><name><surname>Maitra</surname><given-names>A</given-names></name><name><surname>Deck</surname><given-names>LM</given-names></name><name><surname>Royer</surname><given-names>RE</given-names></name><name><surname>Vander Jagt</surname><given-names>DL</given-names></name><name><surname>Semenza</surname><given-names>GL</given-names></name><name><surname>Dang</surname><given-names>CV</given-names></name></person-group><article-title>Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression</article-title><source>Proc Natl Acad Sci USA</source><volume>107</volume><fpage>2037</fpage><lpage>2042</lpage><year>2010</year><pub-id pub-id-type="doi">10.1073/pnas.0914433107</pub-id><pub-id pub-id-type="pmid">20133848</pub-id><pub-id pub-id-type="pmcid">2836706</pub-id></element-citation></ref>
<ref id="b50-ijo-51-01-0005"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dhup</surname><given-names>S</given-names></name><name><surname>Dadhich</surname><given-names>RK</given-names></name><name><surname>Porporato</surname><given-names>PE</given-names></name><name><surname>Sonveaux</surname><given-names>P</given-names></name></person-group><article-title>Multiple biological activities of lactic acid in cancer: Influences on tumor growth, angiogenesis and metastasis</article-title><source>Curr Pharm Des</source><volume>18</volume><fpage>1319</fpage><lpage>1330</lpage><year>2012</year><pub-id pub-id-type="doi">10.2174/138161212799504902</pub-id><pub-id pub-id-type="pmid">22360558</pub-id></element-citation></ref>
<ref id="b51-ijo-51-01-0005"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lardner</surname><given-names>A</given-names></name></person-group><article-title>The effects of extracellular pH on immune function</article-title><source>J Leukoc Biol</source><volume>69</volume><fpage>522</fpage><lpage>530</lpage><year>2001</year><pub-id pub-id-type="pmid">11310837</pub-id></element-citation></ref>
<ref id="b52-ijo-51-01-0005"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gottfried</surname><given-names>E</given-names></name><name><surname>Kunz-Schughart</surname><given-names>LA</given-names></name><name><surname>Ebner</surname><given-names>S</given-names></name><name><surname>Mueller-Klieser</surname><given-names>W</given-names></name><name><surname>Hoves</surname><given-names>S</given-names></name><name><surname>Andreesen</surname><given-names>R</given-names></name><name><surname>Mackensen</surname><given-names>A</given-names></name><name><surname>Kreutz</surname><given-names>M</given-names></name></person-group><article-title>Tumor-derived lactic acid modulates dendritic cell activation and antigen expression</article-title><source>Blood</source><volume>107</volume><fpage>2013</fpage><lpage>2021</lpage><year>2006</year><pub-id pub-id-type="doi">10.1182/blood-2005-05-1795</pub-id></element-citation></ref>
<ref id="b53-ijo-51-01-0005"><label>53</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>Z</given-names></name><name><surname>Lu</surname><given-names>W</given-names></name><name><surname>Garcia-Prieto</surname><given-names>C</given-names></name><name><surname>Huang</surname><given-names>P</given-names></name></person-group><article-title>The Warburg effect and its cancer therapeutic implications</article-title><source>J Bioenerg Biomembr</source><volume>39</volume><fpage>267</fpage><lpage>274</lpage><year>2007</year><pub-id pub-id-type="doi">10.1007/s10863-007-9086-x</pub-id><pub-id pub-id-type="pmid">17551814</pub-id></element-citation></ref>
<ref id="b54-ijo-51-01-0005"><label>54</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Costello</surname><given-names>LC</given-names></name><name><surname>Franklin</surname><given-names>RB</given-names></name></person-group><article-title>'Why do tumour cells glycolyse?': From glycolysis through citrate to lipogenesis</article-title><source>Mol Cell Biochem</source><volume>280</volume><fpage>1</fpage><lpage>8</lpage><year>2005</year><pub-id pub-id-type="doi">10.1007/s11010-005-8841-8</pub-id></element-citation></ref>
<ref id="b55-ijo-51-01-0005"><label>55</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Lan</surname><given-names>J</given-names></name><name><surname>Huang</surname><given-names>G</given-names></name><name><surname>Varin</surname><given-names>E</given-names></name><name><surname>Lincet</surname><given-names>H</given-names></name><name><surname>Poulain</surname><given-names>L</given-names></name><name><surname>Icard</surname><given-names>P</given-names></name></person-group><article-title>Citrate induces apoptotic cell death: A promising way to treat gastric carcinoma?</article-title><source>Anticancer Res</source><volume>31</volume><fpage>797</fpage><lpage>805</lpage><year>2011</year><pub-id pub-id-type="pmid">21498699</pub-id></element-citation></ref>
<ref id="b56-ijo-51-01-0005"><label>56</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Weljie</surname><given-names>AM</given-names></name><name><surname>Jirik</surname><given-names>FR</given-names></name></person-group><article-title>Hypoxia-induced metabolic shifts in cancer cells: Moving beyond the Warburg effect</article-title><source>Int J Biochem Cell Biol</source><volume>43</volume><fpage>981</fpage><lpage>989</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.biocel.2010.08.009</pub-id></element-citation></ref>
<ref id="b57-ijo-51-01-0005"><label>57</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ichinoe</surname><given-names>M</given-names></name><name><surname>Yanagisawa</surname><given-names>N</given-names></name><name><surname>Mikami</surname><given-names>T</given-names></name><name><surname>Hana</surname><given-names>K</given-names></name><name><surname>Nakada</surname><given-names>N</given-names></name><name><surname>Endou</surname><given-names>H</given-names></name><name><surname>Okayasu</surname><given-names>I</given-names></name><name><surname>Murakumo</surname><given-names>Y</given-names></name></person-group><article-title>L-Type amino acid transporter 1 (LAT1) expression in lymph node metastasis of gastric carcinoma: Its correlation with size of metastatic lesion and Ki-67 labeling</article-title><source>Pathol Res Pract</source><volume>211</volume><fpage>533</fpage><lpage>538</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.prp.2015.03.007</pub-id><pub-id pub-id-type="pmid">25908107</pub-id></element-citation></ref>
<ref id="b58-ijo-51-01-0005"><label>58</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>M</given-names></name><name><surname>Zhu</surname><given-names>GY</given-names></name><name><surname>Gao</surname><given-names>HY</given-names></name><name><surname>Zhao</surname><given-names>SP</given-names></name><name><surname>Xue</surname><given-names>Y</given-names></name></person-group><article-title>Expression of tissue levels of matrix metalloproteinases and tissue inhibitors of metalloproteinases in gastric adenocarcinoma</article-title><source>J Surg Oncol</source><volume>103</volume><fpage>243</fpage><lpage>247</lpage><year>2011</year><pub-id pub-id-type="doi">10.1002/jso.21824</pub-id><pub-id pub-id-type="pmid">21337552</pub-id></element-citation></ref>
<ref id="b59-ijo-51-01-0005"><label>59</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sampieri</surname><given-names>CL</given-names></name><name><surname>Le&#x000F3;n-C&#x000F3;rdoba</surname><given-names>K</given-names></name><name><surname>Remes-Troche</surname><given-names>JM</given-names></name></person-group><article-title>Matrix metalloproteinases and their tissue inhibitors in gastric cancer as molecular markers</article-title><source>J Cancer Res Ther</source><volume>9</volume><fpage>356</fpage><lpage>363</lpage><year>2013</year><pub-id pub-id-type="doi">10.4103/0973-1482.119302</pub-id><pub-id pub-id-type="pmid">24125966</pub-id></element-citation></ref>
<ref id="b60-ijo-51-01-0005"><label>60</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qian</surname><given-names>HR</given-names></name><name><surname>Yang</surname><given-names>Y</given-names></name></person-group><article-title>Functional role of autophagy in gastric cancer</article-title><source>Oncotarget</source><volume>7</volume><fpage>17641</fpage><lpage>17651</lpage><year>2016</year><pub-id pub-id-type="pmid">26910278</pub-id><pub-id pub-id-type="pmcid">4951239</pub-id></element-citation></ref>
<ref id="b61-ijo-51-01-0005"><label>61</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hensley</surname><given-names>CT</given-names></name><name><surname>Wasti</surname><given-names>AT</given-names></name><name><surname>DeBerardinis</surname><given-names>RJ</given-names></name></person-group><article-title>Glutamine and cancer: Cell biology, physiology, and clinical opportunities</article-title><source>J Clin Invest</source><volume>123</volume><fpage>3678</fpage><lpage>3684</lpage><year>2013</year><pub-id pub-id-type="doi">10.1172/JCI69600</pub-id><pub-id pub-id-type="pmid">23999442</pub-id><pub-id pub-id-type="pmcid">3754270</pub-id></element-citation></ref>
<ref id="b62-ijo-51-01-0005"><label>62</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nicklin</surname><given-names>P</given-names></name><name><surname>Bergman</surname><given-names>P</given-names></name><name><surname>Zhang</surname><given-names>B</given-names></name><name><surname>Triantafellow</surname><given-names>E</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Nyfeler</surname><given-names>B</given-names></name><name><surname>Yang</surname><given-names>H</given-names></name><name><surname>Hild</surname><given-names>M</given-names></name><name><surname>Kung</surname><given-names>C</given-names></name><name><surname>Wilson</surname><given-names>C</given-names></name><etal/></person-group><article-title>Bidirectional transport of amino acids regulates mTOR and autophagy</article-title><source>Cell</source><volume>136</volume><fpage>521</fpage><lpage>534</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.cell.2008.11.044</pub-id><pub-id pub-id-type="pmid">19203585</pub-id><pub-id pub-id-type="pmcid">3733119</pub-id></element-citation></ref>
<ref id="b63-ijo-51-01-0005"><label>63</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>W</given-names></name><name><surname>Le</surname><given-names>A</given-names></name><name><surname>Hancock</surname><given-names>C</given-names></name><name><surname>Lane</surname><given-names>AN</given-names></name><name><surname>Dang</surname><given-names>CV</given-names></name><name><surname>Fan</surname><given-names>TW</given-names></name><name><surname>Phang</surname><given-names>JM</given-names></name></person-group><article-title>Reprogramming of proline and glutamine metabolism contributes to the proliferative and metabolic responses regulated by oncogenic transcription factor c-MYC</article-title><source>Proc Natl Acad Sci USA</source><volume>109</volume><fpage>8983</fpage><lpage>8988</lpage><year>2012</year><pub-id pub-id-type="doi">10.1073/pnas.1203244109</pub-id><pub-id pub-id-type="pmid">22615405</pub-id><pub-id pub-id-type="pmcid">3384197</pub-id></element-citation></ref>
<ref id="b64-ijo-51-01-0005"><label>64</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Possemato</surname><given-names>R</given-names></name><name><surname>Marks</surname><given-names>KM</given-names></name><name><surname>Shaul</surname><given-names>YD</given-names></name><name><surname>Pacold</surname><given-names>ME</given-names></name><name><surname>Kim</surname><given-names>D</given-names></name><name><surname>Birsoy</surname><given-names>K</given-names></name><name><surname>Sethumadhavan</surname><given-names>S</given-names></name><name><surname>Woo</surname><given-names>HK</given-names></name><name><surname>Jang</surname><given-names>HG</given-names></name><name><surname>Jha</surname><given-names>AK</given-names></name><etal/></person-group><article-title>Functional genomics reveal that the serine synthesis pathway is essential in breast cancer</article-title><source>Nature</source><volume>476</volume><fpage>346</fpage><lpage>350</lpage><year>2011</year><pub-id pub-id-type="doi">10.1038/nature10350</pub-id><pub-id pub-id-type="pmid">21760589</pub-id><pub-id pub-id-type="pmcid">3353325</pub-id></element-citation></ref>
<ref id="b65-ijo-51-01-0005"><label>65</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Godin-Ethier</surname><given-names>J</given-names></name><name><surname>Hanafi</surname><given-names>LA</given-names></name><name><surname>Piccirillo</surname><given-names>CA</given-names></name><name><surname>Lapointe</surname><given-names>R</given-names></name></person-group><article-title>Indoleamine 2,3-dioxygenase expression in human cancers: Clinical and immunologic perspectives</article-title><source>Clin Cancer Res</source><volume>17</volume><fpage>6985</fpage><lpage>6991</lpage><year>2011</year><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-11-1331</pub-id><pub-id pub-id-type="pmid">22068654</pub-id></element-citation></ref>
<ref id="b66-ijo-51-01-0005"><label>66</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wiggins</surname><given-names>T</given-names></name><name><surname>Kumar</surname><given-names>S</given-names></name><name><surname>Markar</surname><given-names>SR</given-names></name><name><surname>Antonowicz</surname><given-names>S</given-names></name><name><surname>Hanna</surname><given-names>GB</given-names></name></person-group><article-title>Tyrosine, phenylalanine, and tryptophan in gastroesophageal malignancy: A systematic review</article-title><source>Cancer Epidemiol Biomarkers Prev</source><volume>24</volume><fpage>32</fpage><lpage>38</lpage><year>2015</year><pub-id pub-id-type="doi">10.1158/1055-9965.EPI-14-0980</pub-id></element-citation></ref>
<ref id="b67-ijo-51-01-0005"><label>67</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bauer</surname><given-names>TM</given-names></name><name><surname>Jiga</surname><given-names>LP</given-names></name><name><surname>Chuang</surname><given-names>JJ</given-names></name><name><surname>Randazzo</surname><given-names>M</given-names></name><name><surname>Opelz</surname><given-names>G</given-names></name><name><surname>Terness</surname><given-names>P</given-names></name></person-group><article-title>Studying the immunosuppressive role of indoleamine 2,3-dioxygenase: Tryptophan metabolites suppress rat allogeneic T-cell responses in vitro and in vivo</article-title><source>Transpl Int</source><volume>18</volume><fpage>95</fpage><lpage>100</lpage><year>2005</year><pub-id pub-id-type="doi">10.1111/j.1432-2277.2004.00031.x</pub-id></element-citation></ref>
<ref id="b68-ijo-51-01-0005"><label>68</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>R</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Yu</surname><given-names>J</given-names></name><name><surname>Zhao</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Wang</surname><given-names>G</given-names></name><name><surname>Yao</surname><given-names>Z</given-names></name><name><surname>Wei</surname><given-names>F</given-names></name><name><surname>Xue</surname><given-names>Q</given-names></name><name><surname>Ren</surname><given-names>X</given-names></name></person-group><article-title>Immunoactivative role of indoleamine 2,3-dioxygenase in gastric cancer cells in vitro</article-title><source>Mol Med Rep</source><volume>4</volume><fpage>169</fpage><lpage>173</lpage><year>2011</year><pub-id pub-id-type="pmid">21461581</pub-id></element-citation></ref>
<ref id="b69-ijo-51-01-0005"><label>69</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>McGaha</surname><given-names>TL</given-names></name><name><surname>Huang</surname><given-names>L</given-names></name><name><surname>Lemos</surname><given-names>H</given-names></name><name><surname>Metz</surname><given-names>R</given-names></name><name><surname>Mautino</surname><given-names>M</given-names></name><name><surname>Prendergast</surname><given-names>GC</given-names></name><name><surname>Mellor</surname><given-names>AL</given-names></name></person-group><article-title>Amino acid catabolism: A pivotal regulator of innate and adaptive immunity</article-title><source>Immunol Rev</source><volume>249</volume><fpage>135</fpage><lpage>157</lpage><year>2012</year><pub-id pub-id-type="doi">10.1111/j.1600-065X.2012.01149.x</pub-id><pub-id pub-id-type="pmid">22889220</pub-id><pub-id pub-id-type="pmcid">4384693</pub-id></element-citation></ref>
<ref id="b70-ijo-51-01-0005"><label>70</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jain</surname><given-names>M</given-names></name><name><surname>Nilsson</surname><given-names>R</given-names></name><name><surname>Sharma</surname><given-names>S</given-names></name><name><surname>Madhusudhan</surname><given-names>N</given-names></name><name><surname>Kitami</surname><given-names>T</given-names></name><name><surname>Souza</surname><given-names>AL</given-names></name><name><surname>Kafri</surname><given-names>R</given-names></name><name><surname>Kirschner</surname><given-names>MW</given-names></name><name><surname>Clish</surname><given-names>CB</given-names></name><name><surname>Mootha</surname><given-names>VK</given-names></name></person-group><article-title>Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation</article-title><source>Science</source><volume>336</volume><fpage>1040</fpage><lpage>1044</lpage><year>2012</year><pub-id pub-id-type="doi">10.1126/science.1218595</pub-id><pub-id pub-id-type="pmid">22628656</pub-id><pub-id pub-id-type="pmcid">3526189</pub-id></element-citation></ref>
<ref id="b71-ijo-51-01-0005"><label>71</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rose</surname><given-names>ML</given-names></name><name><surname>Madren</surname><given-names>J</given-names></name><name><surname>Bunzendahl</surname><given-names>H</given-names></name><name><surname>Thurman</surname><given-names>RG</given-names></name></person-group><article-title>Dietary glycine inhibits the growth of B16 melanoma tumors in mice</article-title><source>Carcinogenesis</source><volume>20</volume><fpage>793</fpage><lpage>798</lpage><year>1999</year><pub-id pub-id-type="doi">10.1093/carcin/20.5.793</pub-id><pub-id pub-id-type="pmid">10334195</pub-id></element-citation></ref>
<ref id="b72-ijo-51-01-0005"><label>72</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Amin</surname><given-names>K</given-names></name><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Chao</surname><given-names>WR</given-names></name><name><surname>Dewhirst</surname><given-names>MW</given-names></name><name><surname>Haroon</surname><given-names>ZA</given-names></name></person-group><article-title>Dietary glycine inhibits angiogenesis during wound healing and tumor growth</article-title><source>Cancer Biol Ther</source><volume>2</volume><fpage>173</fpage><lpage>178</lpage><year>2003</year><pub-id pub-id-type="doi">10.4161/cbt.2.2.280</pub-id><pub-id pub-id-type="pmid">12750558</pub-id></element-citation></ref>
<ref id="b73-ijo-51-01-0005"><label>73</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bruns</surname><given-names>H</given-names></name><name><surname>Petrulionis</surname><given-names>M</given-names></name><name><surname>Schultze</surname><given-names>D</given-names></name><name><surname>Al Saeedi</surname><given-names>M</given-names></name><name><surname>Lin</surname><given-names>S</given-names></name><name><surname>Yamanaka</surname><given-names>K</given-names></name><name><surname>Ambrazevi&#x0010D;ius</surname><given-names>M</given-names></name><name><surname>Strupas</surname><given-names>K</given-names></name><name><surname>Schemmer</surname><given-names>P</given-names></name></person-group><article-title>Glycine inhibits angiogenic signaling in human hepatocellular carcinoma cells</article-title><source>Amino Acids</source><volume>46</volume><fpage>969</fpage><lpage>976</lpage><year>2014</year><pub-id pub-id-type="doi">10.1007/s00726-013-1662-2</pub-id><pub-id pub-id-type="pmid">24390398</pub-id></element-citation></ref>
<ref id="b74-ijo-51-01-0005"><label>74</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bruns</surname><given-names>H</given-names></name><name><surname>Kazanavicius</surname><given-names>D</given-names></name><name><surname>Schultze</surname><given-names>D</given-names></name><name><surname>Saeedi</surname><given-names>MA</given-names></name><name><surname>Yamanaka</surname><given-names>K</given-names></name><name><surname>Strupas</surname><given-names>K</given-names></name><name><surname>Schemmer</surname><given-names>P</given-names></name></person-group><article-title>Glycine inhibits angiogenesis in colorectal cancer: Role of endothelial cells</article-title><source>Amino Acids</source><volume>48</volume><fpage>2549</fpage><lpage>2558</lpage><year>2016</year><pub-id pub-id-type="doi">10.1007/s00726-016-2278-0</pub-id><pub-id pub-id-type="pmid">27351202</pub-id></element-citation></ref>
<ref id="b75-ijo-51-01-0005"><label>75</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Phang</surname><given-names>JM</given-names></name><name><surname>Donald</surname><given-names>SP</given-names></name><name><surname>Pandhare</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name></person-group><article-title>The metabolism of proline, a stress substrate, modulates carcinogenic pathways</article-title><source>Amino Acids</source><volume>35</volume><fpage>681</fpage><lpage>690</lpage><year>2008</year><pub-id pub-id-type="doi">10.1007/s00726-008-0063-4</pub-id><pub-id pub-id-type="pmid">18401543</pub-id></element-citation></ref>
<ref id="b76-ijo-51-01-0005"><label>76</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Agustsson</surname><given-names>T</given-names></name><name><surname>Ryd&#x000E9;n</surname><given-names>M</given-names></name><name><surname>Hoffstedt</surname><given-names>J</given-names></name><name><surname>van Harmelen</surname><given-names>V</given-names></name><name><surname>Dicker</surname><given-names>A</given-names></name><name><surname>Laurencikiene</surname><given-names>J</given-names></name><name><surname>Isaksson</surname><given-names>B</given-names></name><name><surname>Permert</surname><given-names>J</given-names></name><name><surname>Arner</surname><given-names>P</given-names></name></person-group><article-title>Mechanism of increased lipolysis in cancer cachexia</article-title><source>Cancer Res</source><volume>67</volume><fpage>5531</fpage><lpage>5537</lpage><year>2007</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-06-4585</pub-id><pub-id pub-id-type="pmid">17545636</pub-id></element-citation></ref>
<ref id="b77-ijo-51-01-0005"><label>77</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Raghavamenon</surname><given-names>A</given-names></name><name><surname>Garelnabi</surname><given-names>M</given-names></name><name><surname>Babu</surname><given-names>S</given-names></name><name><surname>Aldrich</surname><given-names>A</given-names></name><name><surname>Litvinov</surname><given-names>D</given-names></name><name><surname>Parthasarathy</surname><given-names>S</given-names></name></person-group><article-title>Alpha-tocopherol is ineffective in preventing the decomposition of preformed lipid peroxides and may promote the accumulation of toxic aldehydes: A potential explanation for the failure of antioxidants to affect human atherosclerosis</article-title><source>Antioxid Redox Signal</source><volume>11</volume><fpage>1237</fpage><lpage>1248</lpage><year>2009</year><pub-id pub-id-type="doi">10.1089/ars.2008.2248</pub-id><pub-id pub-id-type="pmid">19186999</pub-id><pub-id pub-id-type="pmcid">2842134</pub-id></element-citation></ref>
<ref id="b78-ijo-51-01-0005"><label>78</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schallreuter</surname><given-names>KU</given-names></name><name><surname>Wood</surname><given-names>JM</given-names></name></person-group><article-title>Azelaic acid as a competitive inhibitor of thioredoxin reductase in human melanoma cells</article-title><source>Cancer Lett</source><volume>36</volume><fpage>297</fpage><lpage>305</lpage><year>1987</year><pub-id pub-id-type="doi">10.1016/0304-3835(87)90023-1</pub-id><pub-id pub-id-type="pmid">3652030</pub-id></element-citation></ref>
<ref id="b79-ijo-51-01-0005"><label>79</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mu&#x000F1;oz-Pinedo</surname><given-names>C</given-names></name><name><surname>El Mjiyad</surname><given-names>N</given-names></name><name><surname>Ricci</surname><given-names>JE</given-names></name></person-group><article-title>Cancer metabolism: Current perspectives and future directions</article-title><source>Cell Death Dis</source><volume>3</volume><fpage>e248</fpage><year>2012</year><pub-id pub-id-type="doi">10.1038/cddis.2011.123</pub-id><pub-id pub-id-type="pmid">22237205</pub-id><pub-id pub-id-type="pmcid">3270265</pub-id></element-citation></ref>
<ref id="b80-ijo-51-01-0005"><label>80</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Swinnen</surname><given-names>JV</given-names></name><name><surname>Roskams</surname><given-names>T</given-names></name><name><surname>Joniau</surname><given-names>S</given-names></name><name><surname>Van Poppel</surname><given-names>H</given-names></name><name><surname>Oyen</surname><given-names>R</given-names></name><name><surname>Baert</surname><given-names>L</given-names></name><name><surname>Heyns</surname><given-names>W</given-names></name><name><surname>Verhoeven</surname><given-names>G</given-names></name></person-group><article-title>Overexpression of fatty acid synthase is an early and common event in the development of prostate cancer</article-title><source>Int J Cancer</source><volume>98</volume><fpage>19</fpage><lpage>22</lpage><year>2002</year><pub-id pub-id-type="doi">10.1002/ijc.10127</pub-id><pub-id pub-id-type="pmid">11857379</pub-id></element-citation></ref>
<ref id="b81-ijo-51-01-0005"><label>81</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Flavin</surname><given-names>R</given-names></name><name><surname>Peluso</surname><given-names>S</given-names></name><name><surname>Nguyen</surname><given-names>PL</given-names></name><name><surname>Loda</surname><given-names>M</given-names></name></person-group><article-title>Fatty acid synthase as a potential therapeutic target in cancer</article-title><source>Future Oncol</source><volume>6</volume><fpage>551</fpage><lpage>562</lpage><year>2010</year><pub-id pub-id-type="doi">10.2217/fon.10.11</pub-id><pub-id pub-id-type="pmid">20373869</pub-id><pub-id pub-id-type="pmcid">3197858</pub-id></element-citation></ref>
<ref id="b82-ijo-51-01-0005"><label>82</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hao</surname><given-names>Q</given-names></name><name><surname>Li</surname><given-names>T</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Gao</surname><given-names>P</given-names></name><name><surname>Qiao</surname><given-names>P</given-names></name><name><surname>Li</surname><given-names>S</given-names></name><name><surname>Geng</surname><given-names>Z</given-names></name></person-group><article-title>Expression and roles of fatty acid synthase in hepatocellular carcinoma</article-title><source>Oncol Rep</source><volume>32</volume><fpage>2471</fpage><lpage>2476</lpage><year>2014</year><pub-id pub-id-type="pmid">25231933</pub-id></element-citation></ref>
<ref id="b83-ijo-51-01-0005"><label>83</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kusakabe</surname><given-names>T</given-names></name><name><surname>Nashimoto</surname><given-names>A</given-names></name><name><surname>Honma</surname><given-names>K</given-names></name><name><surname>Suzuki</surname><given-names>T</given-names></name></person-group><article-title>Fatty acid synthase is highly expressed in carcinoma, adenoma and in regenerative epithelium and intestinal metaplasia of the stomach</article-title><source>Histopathology</source><volume>40</volume><fpage>71</fpage><lpage>79</lpage><year>2002</year><pub-id pub-id-type="doi">10.1046/j.1365-2559.2002.01289.x</pub-id><pub-id pub-id-type="pmid">11903600</pub-id></element-citation></ref>
<ref id="b84-ijo-51-01-0005"><label>84</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ito</surname><given-names>T</given-names></name><name><surname>Sato</surname><given-names>K</given-names></name><name><surname>Maekawa</surname><given-names>H</given-names></name><name><surname>Sakurada</surname><given-names>M</given-names></name><name><surname>Orita</surname><given-names>H</given-names></name><name><surname>Shimada</surname><given-names>K</given-names></name><name><surname>Daida</surname><given-names>H</given-names></name><name><surname>Wada</surname><given-names>R</given-names></name><name><surname>Abe</surname><given-names>M</given-names></name><name><surname>Hino</surname><given-names>O</given-names></name><etal/></person-group><article-title>Elevated levels of serum fatty acid synthase in patients with gastric carcinoma</article-title><source>Oncol Lett</source><volume>7</volume><fpage>616</fpage><lpage>620</lpage><year>2014</year><pub-id pub-id-type="pmid">24527066</pub-id><pub-id pub-id-type="pmcid">3919915</pub-id></element-citation></ref>
<ref id="b85-ijo-51-01-0005"><label>85</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname><given-names>HP</given-names></name><name><surname>Cheng</surname><given-names>ZL</given-names></name><name><surname>He</surname><given-names>RY</given-names></name><name><surname>Song</surname><given-names>L</given-names></name><name><surname>Tian</surname><given-names>MX</given-names></name><name><surname>Zhou</surname><given-names>LS</given-names></name><name><surname>Groh</surname><given-names>BS</given-names></name><name><surname>Liu</surname><given-names>WR</given-names></name><name><surname>Ji</surname><given-names>MB</given-names></name><name><surname>Ding</surname><given-names>C</given-names></name><etal/></person-group><article-title>Destabilization of fatty acid synthase by acetylation inhibits de novo lipogenesis and tumor cell growth</article-title><source>Cancer Res</source><volume>76</volume><fpage>6924</fpage><lpage>6936</lpage><year>2016</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-16-1597</pub-id><pub-id pub-id-type="pmid">27758890</pub-id><pub-id pub-id-type="pmcid">5135623</pub-id></element-citation></ref>
<ref id="b86-ijo-51-01-0005"><label>86</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Takahiro</surname><given-names>T</given-names></name><name><surname>Shinichi</surname><given-names>K</given-names></name><name><surname>Toshimitsu</surname><given-names>S</given-names></name></person-group><article-title>Expression of fatty acid synthase as a prognostic indicator in soft tissue sarcomas</article-title><source>Clin Cancer Res</source><volume>9</volume><fpage>2204</fpage><lpage>2212</lpage><year>2003</year><pub-id pub-id-type="pmid">12796387</pub-id></element-citation></ref>
<ref id="b87-ijo-51-01-0005"><label>87</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Menendez</surname><given-names>JA</given-names></name><name><surname>Lupu</surname><given-names>R</given-names></name><name><surname>Colomer</surname><given-names>R</given-names></name></person-group><article-title>Inhibition of tumor-associated fatty acid synthase hyperactivity induces synergistic chemosensitization of HER-2/neu-overexpressing human breast cancer cells to docetaxel (taxotere)</article-title><source>Breast Cancer Res Treat</source><volume>84</volume><fpage>183</fpage><lpage>195</lpage><year>2004</year><pub-id pub-id-type="doi">10.1023/B:BREA.0000018409.59448.60</pub-id><pub-id pub-id-type="pmid">14999148</pub-id></element-citation></ref>
<ref id="b88-ijo-51-01-0005"><label>88</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Duan</surname><given-names>J</given-names></name><name><surname>Sun</surname><given-names>L</given-names></name><name><surname>Huang</surname><given-names>H</given-names></name><name><surname>Wu</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Liao</surname><given-names>W</given-names></name></person-group><article-title>Overexpression of fatty acid synthase predicts a poor prognosis for human gastric cancer</article-title><source>Mol Med Rep</source><volume>13</volume><fpage>3027</fpage><lpage>3035</lpage><year>2016</year><pub-id pub-id-type="pmid">26936091</pub-id><pub-id pub-id-type="pmcid">4805063</pub-id></element-citation></ref>
<ref id="b89-ijo-51-01-0005"><label>89</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Khasawneh</surname><given-names>J</given-names></name><name><surname>Schulz</surname><given-names>MD</given-names></name><name><surname>Walch</surname><given-names>A</given-names></name><name><surname>Rozman</surname><given-names>J</given-names></name><name><surname>Hrabe de Angelis</surname><given-names>M</given-names></name><name><surname>Klingenspor</surname><given-names>M</given-names></name><name><surname>Buck</surname><given-names>A</given-names></name><name><surname>Schwaiger</surname><given-names>M</given-names></name><name><surname>Saur</surname><given-names>D</given-names></name><name><surname>Schmid</surname><given-names>RM</given-names></name><etal/></person-group><article-title>Inflammation and mitochondrial fatty acid beta-oxidation link obesity to early tumor promotion</article-title><source>Proc Natl Acad Sci USA</source><volume>106</volume><fpage>3354</fpage><lpage>3359</lpage><year>2009</year><pub-id pub-id-type="doi">10.1073/pnas.0802864106</pub-id><pub-id pub-id-type="pmid">19208810</pub-id><pub-id pub-id-type="pmcid">2651311</pub-id></element-citation></ref>
<ref id="b90-ijo-51-01-0005"><label>90</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>Y</given-names></name></person-group><article-title>Fatty acid oxidation is a dominant bioenergetic pathway in prostate cancer</article-title><source>Prostate Cancer Prostatic Dis</source><volume>9</volume><fpage>230</fpage><lpage>234</lpage><year>2006</year><pub-id pub-id-type="doi">10.1038/sj.pcan.4500879</pub-id><pub-id pub-id-type="pmid">16683009</pub-id></element-citation></ref>
<ref id="b91-ijo-51-01-0005"><label>91</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hyde</surname><given-names>CA</given-names></name><name><surname>Missailidis</surname><given-names>S</given-names></name></person-group><article-title>Inhibition of arachidonic acid metabolism and its implication on cell proliferation and tumour-angiogenesis</article-title><source>Int Immunopharmacol</source><volume>9</volume><fpage>701</fpage><lpage>715</lpage><year>2009</year><pub-id pub-id-type="doi">10.1016/j.intimp.2009.02.003</pub-id><pub-id pub-id-type="pmid">19239926</pub-id></element-citation></ref>
<ref id="b92-ijo-51-01-0005"><label>92</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname><given-names>X</given-names></name><name><surname>Yu</surname><given-names>H</given-names></name><name><surname>Ma</surname><given-names>Q</given-names></name><name><surname>Shen</surname><given-names>S</given-names></name><name><surname>Das</surname><given-names>UN</given-names></name></person-group><article-title>Linoleic acid suppresses colorectal cancer cell growth by inducing oxidant stress and mitochondrial dysfunction</article-title><source>Lipids Health Dis</source><volume>9</volume><fpage>106</fpage><year>2010</year><pub-id pub-id-type="doi">10.1186/1476-511X-9-106</pub-id><pub-id pub-id-type="pmid">20868498</pub-id><pub-id pub-id-type="pmcid">2954911</pub-id></element-citation></ref>
<ref id="b93-ijo-51-01-0005"><label>93</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Swaminathan</surname><given-names>R</given-names></name><name><surname>Major</surname><given-names>P</given-names></name><name><surname>Snieder</surname><given-names>H</given-names></name><name><surname>Spector</surname><given-names>T</given-names></name></person-group><article-title>Serum creatinine and fat-free mass (lean body mass)</article-title><source>Clin Chem</source><volume>46</volume><fpage>1695</fpage><lpage>1696</lpage><year>2000</year><pub-id pub-id-type="pmid">11017953</pub-id></element-citation></ref>
<ref id="b94-ijo-51-01-0005"><label>94</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Eisner</surname><given-names>R</given-names></name><name><surname>Stretch</surname><given-names>C</given-names></name><name><surname>Eastman</surname><given-names>T</given-names></name><name><surname>Xia</surname><given-names>J</given-names></name><name><surname>Hau</surname><given-names>D</given-names></name><name><surname>Damaraju</surname><given-names>S</given-names></name><name><surname>Greiner</surname><given-names>R</given-names></name><name><surname>Wishart</surname><given-names>D</given-names></name><name><surname>Baracos</surname><given-names>V</given-names></name></person-group><article-title>Learning to predict cancer-associated skeletal muscle wasting from <sup>1</sup>H-NMR profiles of urinary metabolites</article-title><source>Metabolomics</source><volume>7</volume><fpage>25</fpage><lpage>34</lpage><year>2011</year><pub-id pub-id-type="doi">10.1007/s11306-010-0232-9</pub-id></element-citation></ref>
<ref id="b95-ijo-51-01-0005"><label>95</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Correa</surname><given-names>P</given-names></name></person-group><article-title>Human gastric carcinogenesis: A multistep and multifactorial process - First American Cancer Society Award Lecture on Cancer Epidemiology and Prevention</article-title><source>Cancer Res</source><volume>52</volume><fpage>6735</fpage><lpage>6740</lpage><year>1992</year><pub-id pub-id-type="pmid">1458460</pub-id></element-citation></ref>
<ref id="b96-ijo-51-01-0005"><label>96</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname><given-names>GT</given-names></name><name><surname>Murray</surname><given-names>GI</given-names></name></person-group><article-title>Current mechanistic insights into the roles of matrix metalloproteinases in tumour invasion and metastasis</article-title><source>J Pathol</source><volume>237</volume><fpage>273</fpage><lpage>281</lpage><year>2015</year><pub-id pub-id-type="doi">10.1002/path.4586</pub-id><pub-id pub-id-type="pmid">26174849</pub-id></element-citation></ref>
<ref id="b97-ijo-51-01-0005"><label>97</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lau</surname><given-names>V</given-names></name><name><surname>Wong</surname><given-names>AL</given-names></name><name><surname>Ng</surname><given-names>C</given-names></name><name><surname>Mok</surname><given-names>Y</given-names></name><name><surname>Lakshmanan</surname><given-names>M</given-names></name><name><surname>Yan</surname><given-names>B</given-names></name></person-group><article-title>Drug sensitivity testing platforms for gastric cancer diagnostics</article-title><source>J Clin Pathol</source><volume>69</volume><fpage>93</fpage><lpage>96</lpage><year>2016</year><pub-id pub-id-type="doi">10.1136/jclinpath-2015-203426</pub-id></element-citation></ref>
<ref id="b98-ijo-51-01-0005"><label>98</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname><given-names>J</given-names></name><name><surname>Kunimoto</surname><given-names>S</given-names></name><name><surname>Yamazaki</surname><given-names>Y</given-names></name><name><surname>Kaminishi</surname><given-names>M</given-names></name><name><surname>Esumi</surname><given-names>H</given-names></name></person-group><article-title>Kigamicin D, a novel anticancer agent based on a new anti-austerity strategy targeting cancer cells' tolerance to nutrient starvation</article-title><source>Cancer Sci</source><volume>95</volume><fpage>547</fpage><lpage>552</lpage><year>2004</year><pub-id pub-id-type="doi">10.1111/j.1349-7006.2004.tb03247.x</pub-id></element-citation></ref>
<ref id="b99-ijo-51-01-0005"><label>99</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname><given-names>W</given-names></name><name><surname>Chen</surname><given-names>R</given-names></name><name><surname>Zhao</surname><given-names>M</given-names></name><name><surname>Li</surname><given-names>L</given-names></name><name><surname>Fan</surname><given-names>L</given-names></name><name><surname>Che</surname><given-names>XM</given-names></name></person-group><article-title>High glucose promotes gastric cancer chemoresistance in vivo and in vitro</article-title><source>Mol Med Rep</source><volume>12</volume><fpage>843</fpage><lpage>850</lpage><year>2015</year><pub-id pub-id-type="pmid">25815791</pub-id><pub-id pub-id-type="pmcid">4438965</pub-id></element-citation></ref>
<ref id="b100-ijo-51-01-0005"><label>100</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Yan</surname><given-names>SK</given-names></name><name><surname>Dai</surname><given-names>WX</given-names></name><name><surname>Liu</surname><given-names>XR</given-names></name><name><surname>Zhang</surname><given-names>WD</given-names></name><name><surname>Wang</surname><given-names>JJ</given-names></name></person-group><article-title>A metabonomic approach to chemosensitivity prediction of cisplatin plus 5-fluorouracil in a human xenograft model of gastric cancer</article-title><source>Int J Cancer</source><volume>127</volume><fpage>2841</fpage><lpage>2850</lpage><year>2010</year><pub-id pub-id-type="doi">10.1002/ijc.25294</pub-id></element-citation></ref>
<ref id="b101-ijo-51-01-0005"><label>101</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ilsley</surname><given-names>JN</given-names></name><name><surname>Nakanishi</surname><given-names>M</given-names></name><name><surname>Flynn</surname><given-names>C</given-names></name><name><surname>Belinsky</surname><given-names>GS</given-names></name><name><surname>De Guise</surname><given-names>S</given-names></name><name><surname>Adib</surname><given-names>JN</given-names></name><name><surname>Dobrowsky</surname><given-names>RT</given-names></name><name><surname>Bonventre</surname><given-names>JV</given-names></name><name><surname>Rosenberg</surname><given-names>DW</given-names></name></person-group><article-title>Cytoplasmic phospholipase A2 deletion enhances colon tumorigenesis</article-title><source>Cancer Res</source><volume>65</volume><fpage>2636</fpage><lpage>2643</lpage><year>2005</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-04-3446</pub-id><pub-id pub-id-type="pmid">15805260</pub-id></element-citation></ref>
<ref id="b102-ijo-51-01-0005"><label>102</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ganesan</surname><given-names>K</given-names></name><name><surname>Ivanova</surname><given-names>T</given-names></name><name><surname>Wu</surname><given-names>Y</given-names></name><name><surname>Rajasegaran</surname><given-names>V</given-names></name><name><surname>Wu</surname><given-names>J</given-names></name><name><surname>Lee</surname><given-names>MH</given-names></name><name><surname>Yu</surname><given-names>K</given-names></name><name><surname>Rha</surname><given-names>SY</given-names></name><name><surname>Chung</surname><given-names>HC</given-names></name><name><surname>Ylstra</surname><given-names>B</given-names></name><etal/></person-group><article-title>Inhibition of gastric cancer invasion and metastasis by PLA2G2A, a novel beta-catenin/TCF target gene</article-title><source>Cancer Res</source><volume>68</volume><fpage>4277</fpage><lpage>4286</lpage><year>2008</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-07-6517</pub-id><pub-id pub-id-type="pmid">18519687</pub-id></element-citation></ref>
<ref id="b103-ijo-51-01-0005"><label>103</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sasada</surname><given-names>S</given-names></name><name><surname>Miyata</surname><given-names>Y</given-names></name><name><surname>Tsutani</surname><given-names>Y</given-names></name><name><surname>Tsuyama</surname><given-names>N</given-names></name><name><surname>Masujima</surname><given-names>T</given-names></name><name><surname>Hihara</surname><given-names>J</given-names></name><name><surname>Okada</surname><given-names>M</given-names></name></person-group><article-title>Metabolomic analysis of dynamic response and drug resistance of gastric cancer cells to 5-fluorouracil</article-title><source>Oncol Rep</source><volume>29</volume><fpage>925</fpage><lpage>931</lpage><year>2013</year><pub-id pub-id-type="pmcid">3597557</pub-id></element-citation></ref>
<ref id="b104-ijo-51-01-0005"><label>104</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>KB</given-names></name><name><surname>Yang</surname><given-names>JY</given-names></name><name><surname>Kwack</surname><given-names>SJ</given-names></name><name><surname>Kim</surname><given-names>HS</given-names></name><name><surname>Ryu</surname><given-names>DH</given-names></name><name><surname>Kim</surname><given-names>YJ</given-names></name><name><surname>Bae</surname><given-names>JY</given-names></name><name><surname>Lim</surname><given-names>DS</given-names></name><name><surname>Choi</surname><given-names>SM</given-names></name><name><surname>Kwon</surname><given-names>MJ</given-names></name><etal/></person-group><article-title>Potential metabolomic biomarkers for evaluation of adriamycin efficacy using a urinary <sup>1</sup>H-NMR spectroscopy</article-title><source>J Appl Toxicol</source><volume>33</volume><fpage>1251</fpage><lpage>1259</lpage><year>2013</year></element-citation></ref>
<ref id="b105-ijo-51-01-0005"><label>105</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>B&#x000FC;scher</surname><given-names>JM</given-names></name><name><surname>Czernik</surname><given-names>D</given-names></name><name><surname>Ewald</surname><given-names>JC</given-names></name><name><surname>Sauer</surname><given-names>U</given-names></name><name><surname>Zamboni</surname><given-names>N</given-names></name></person-group><article-title>Cross-platform comparison of methods for quantitative metabolomics of primary metabolism</article-title><source>Anal Chem</source><volume>81</volume><fpage>2135</fpage><lpage>2143</lpage><year>2009</year><pub-id pub-id-type="doi">10.1021/ac8022857</pub-id><pub-id pub-id-type="pmid">19236023</pub-id></element-citation></ref>
<ref id="b106-ijo-51-01-0005"><label>106</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Adamski</surname><given-names>J</given-names></name><name><surname>Suhre</surname><given-names>K</given-names></name></person-group><article-title>Metabolomics platforms for genome wide association studies - linking the genome to the metabolome</article-title><source>Curr Opin Biotechnol</source><volume>24</volume><fpage>39</fpage><lpage>47</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.copbio.2012.10.003</pub-id></element-citation></ref>
<ref id="b107-ijo-51-01-0005"><label>107</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lofgren</surname><given-names>JL</given-names></name><name><surname>Whary</surname><given-names>MT</given-names></name><name><surname>Ge</surname><given-names>Z</given-names></name><name><surname>Muthupalani</surname><given-names>S</given-names></name><name><surname>Taylor</surname><given-names>NS</given-names></name><name><surname>Mobley</surname><given-names>M</given-names></name><name><surname>Potter</surname><given-names>A</given-names></name><name><surname>Varro</surname><given-names>A</given-names></name><name><surname>Eibach</surname><given-names>D</given-names></name><name><surname>Suerbaum</surname><given-names>S</given-names></name><etal/></person-group><article-title>Lack of commensal flora in Helicobacter pylori-infected INS-GAS mice reduces gastritis and delays intraepithelial neoplasia</article-title><source>Gastroenterology</source><volume>140</volume><fpage>210</fpage><lpage>220</lpage><year>2011</year><pub-id pub-id-type="doi">10.1053/j.gastro.2010.09.048</pub-id></element-citation></ref>
<ref id="b108-ijo-51-01-0005"><label>108</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lertpiriyapong</surname><given-names>K</given-names></name><name><surname>Whary</surname><given-names>MT</given-names></name><name><surname>Muthupalani</surname><given-names>S</given-names></name><name><surname>Lofgren</surname><given-names>JL</given-names></name><name><surname>Gamazon</surname><given-names>ER</given-names></name><name><surname>Feng</surname><given-names>Y</given-names></name><name><surname>Ge</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>TC</given-names></name><name><surname>Fox</surname><given-names>JG</given-names></name></person-group><article-title>Gastric colonisation with a restricted commensal microbiota replicates the promotion of neoplastic lesions by diverse intestinal microbiota in the Helicobacter pylori INS-GAS mouse model of gastric carcinogenesis</article-title><source>Gut</source><volume>63</volume><fpage>54</fpage><lpage>63</lpage><year>2014</year><pub-id pub-id-type="doi">10.1136/gutjnl-2013-305178</pub-id><pub-id pub-id-type="pmcid">4023484</pub-id></element-citation></ref>
<ref id="b109-ijo-51-01-0005"><label>109</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Furusawa</surname><given-names>Y</given-names></name><name><surname>Obata</surname><given-names>Y</given-names></name><name><surname>Fukuda</surname><given-names>S</given-names></name><name><surname>Endo</surname><given-names>TA</given-names></name><name><surname>Nakato</surname><given-names>G</given-names></name><name><surname>Takahashi</surname><given-names>D</given-names></name><name><surname>Nakanishi</surname><given-names>Y</given-names></name><name><surname>Uetake</surname><given-names>C</given-names></name><name><surname>Kato</surname><given-names>K</given-names></name><name><surname>Kato</surname><given-names>T</given-names></name><etal/></person-group><article-title>Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells</article-title><source>Nature</source><volume>504</volume><fpage>446</fpage><lpage>450</lpage><year>2013</year><pub-id pub-id-type="doi">10.1038/nature12721</pub-id><pub-id pub-id-type="pmid">24226770</pub-id></element-citation></ref>
<ref id="b110-ijo-51-01-0005"><label>110</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Vanhoutvin</surname><given-names>SA</given-names></name><name><surname>Troost</surname><given-names>FJ</given-names></name><name><surname>Hamer</surname><given-names>HM</given-names></name><name><surname>Lindsey</surname><given-names>PJ</given-names></name><name><surname>Koek</surname><given-names>GH</given-names></name><name><surname>Jonkers</surname><given-names>DM</given-names></name><name><surname>Kodde</surname><given-names>A</given-names></name><name><surname>Venema</surname><given-names>K</given-names></name><name><surname>Brummer</surname><given-names>RJ</given-names></name></person-group><article-title>Butyrate-induced transcriptional changes in human colonic mucosa</article-title><source>PLoS One</source><volume>4</volume><fpage>e6759</fpage><year>2009</year><pub-id pub-id-type="doi">10.1371/journal.pone.0006759</pub-id><pub-id pub-id-type="pmcid">2727000</pub-id></element-citation></ref>
<ref id="b111-ijo-51-01-0005"><label>111</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Singh</surname><given-names>N</given-names></name><name><surname>Gurav</surname><given-names>A</given-names></name><name><surname>Sivaprakasam</surname><given-names>S</given-names></name><name><surname>Brady</surname><given-names>E</given-names></name><name><surname>Padia</surname><given-names>R</given-names></name><name><surname>Shi</surname><given-names>H</given-names></name><name><surname>Thangaraju</surname><given-names>M</given-names></name><name><surname>Prasad</surname><given-names>PD</given-names></name><name><surname>Manicassamy</surname><given-names>S</given-names></name><name><surname>Munn</surname><given-names>DH</given-names></name><etal/></person-group><article-title>Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis</article-title><source>Immunity</source><volume>40</volume><fpage>128</fpage><lpage>139</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.immuni.2013.12.007</pub-id><pub-id pub-id-type="pmid">24412617</pub-id><pub-id pub-id-type="pmcid">4305274</pub-id></element-citation></ref></ref-list></back>
<floats-group>
<fig id="f1-ijo-51-01-0005" position="float">
<label>Figure 1</label>
<caption>
<p>Metabolism and metabolomics in cancer research. Concerning tumor cell lines cultured <italic>in vitro</italic>, either conventional cell biology research or isotopic tracer experiment is available. Tumor cytobiological methods (cell morphology, cell proliferation assay and cell invasion assay) can be utilized to assess cytobiological behaviors under specific nutrient-stressed or stress-free condition, and further investigations targeted at precise mechanism and significance can be confirmed via molecular biology techniques. With regard to isotopic tracer experiment, the flow of nutrients and metabolites can be identified with isotopic tracer, then the significance of specific nutrients or metabolites and its potential divergent fates toward meeting the demands of either energetic utilization or synthesizing macromolecules in cancer cells can be identified (<xref rid="b14-ijo-51-01-0005" ref-type="bibr">14</xref>). Metabolites that are different between tumor groups and control groups are able to be detected through metabolomics analysis (such as <sup>1</sup>H-NMR, <sup>1</sup>hydrogen-nuclear magnetic resonance; LC-MS, liquid chromatography-mass spectrometry; GC-MS, gas chromatography-mass spectrometry) and data analysis, metabolic biomarkers or metabolic pathway that is specific to certain cancers were discovered to benefit cancer research (<xref rid="b15-ijo-51-01-0005" ref-type="bibr">15</xref>,<xref rid="b16-ijo-51-01-0005" ref-type="bibr">16</xref>). Of note, combination of genomics, transcriptomics and proteomics plus metabolomics can further give us comprehensive understanding of cancers toward systematic biology.</p></caption>
<graphic xlink:href="IJO-51-01-0005-g00.jpg"/></fig>
<fig id="f2-ijo-51-01-0005" position="float">
<label>Figure 2</label>
<caption>
<p>Metabolic regulation in gastric cancer. Altered metabolites in gastric can be categorized into four main biomolecules: carbohydrates, amino acids, lipids and nucleic acids. Activated glycolysis and impaired aerobic respiration shape the altered glucose metabolism in this disease. For amino acid metabolism, various amino acids (serine, valine, phenylalanine, tryptophan, glycine, and proline) and some primary derivatives (such as kynurenine, kynurenic acid, anthranilic acid and nicotinic acid) are significantly higher in tissue specimens and gastric content, but decreased concentration is observed in blood samples. Of note, glutamine is also the most greatly depleted. Increased rate of lipogenesis, upregulation of fatty acid &#x003B2;-oxidation and upregulated oxidative degradation are the typical characteristics of lipid metabolism in this disease. Accumulation of the end products of nucleotide catabolism is characterized by the higher levels of uric acid. Moreover, there is correlation between these four metabolisms. For instance, glycine, asparagine and glutamine are used as building blocks of purines.</p></caption>
<graphic xlink:href="IJO-51-01-0005-g01.jpg"/></fig>
<table-wrap id="tI-ijo-51-01-0005" position="float">
<label>Table I</label>
<caption>
<p>Metabolites in blood samples between cancer groups and non-cancer groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Year</th>
<th valign="top" align="center">Patients/animal models</th>
<th valign="top" align="center">Samples</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Method</th>
<th valign="top" align="center">Major findings</th>
<th valign="top" align="center">Ref.</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Plasma</td>
<td valign="top" align="center">Healthy people (n=985)<break/>Gastric cancer (n=199)</td>
<td valign="top" align="center">HPLC-ESI-MS</td>
<td valign="top" align="left">i) Concentration of amino acids was significantly decreased in plasma of gastric cancer patients and this change occurs in early stage regardless of the subsequent progression and poor nutrition<break/>ii) Plasma-free amino acids have shared alteration among gastric cancer, lung cancer, colorectal cancer, breast cancer and prostate cancer, but specific profiles in gastric cancer were also detected</td>
<td valign="top" align="center">(<xref rid="b24-ijo-51-01-0005" ref-type="bibr">24</xref>)</td></tr>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Plasma</td>
<td valign="top" align="center">Chronic superficial gastritis (n=19)<break/>Chronic atrophic gastritis (n=10)<break/>Intestinal metaplasia (n=10)<break/>Dysplasia (n=15)<break/>Gastric cancer (n=22)</td>
<td valign="top" align="center">GC-TOFMS</td>
<td valign="top" align="left">i) 15 metabolites (increase, glutamate, asparagine, ornithine, pyroglutamate, 2-hydroxybutyrate, azelaic acid, 11-eicosenoic acid, 1-monohexadecanoylglycerol-&#x003B3;-tocopherol, urate; decrease: creatinine, threonate) were different between chronic superficial gastritis and gastric cancer group<break/>ii) Metabolic phenotype of gastric cancer was greatly similar to intestinal metaplasia</td>
<td valign="top" align="center">(<xref rid="b25-ijo-51-01-0005" ref-type="bibr">25</xref>)</td></tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Serum</td>
<td valign="top" align="center">Healthy people (n=30)<break/>Gastric cancer (n=30)</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) 18 metabolites were different between gastric cancer and healthy control group, including fumaric acid, glutamine, valine, sarcosine, 9,12-octadecadienoic acid, 9-octadecenoic acid, trans-13-octadecenoic acid, nonahexacontanoic, cholesta-3,5-diene, cholesterol pentafluoropionate, cholesterol, Cholest-5-en-3-ol, 2-<italic>O</italic>-mesyl arabinose, hexadecanenitrile, benzeneacetonitrile, 2-amino-4-hydroxy-pteridinone, 1,2,4-benzenetricarboxylic acid and hexanedioic acid<break/>ii) Valine showed the greatest fold change and hexanedioic acid was the most depleted</td>
<td valign="top" align="center">(<xref rid="b26-ijo-51-01-0005" ref-type="bibr">26</xref>)</td></tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Serum</td>
<td valign="top" align="center">Healthy people (n=12)<break/>Gastric cancer (n=11)</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) Pyruvic acid, 3-hydroxypropionic acid, 3-hydroxyisobutyric acid, octanoic acid, phosphoric acid significantly changed in gastric cancer patients<break/>ii) Levels of 3-hydroxypropionic acid and pyruvic acid could discriminate gastric cancer from esophageal or colorectal cancer</td>
<td valign="top" align="center">(<xref rid="b27-ijo-51-01-0005" ref-type="bibr">27</xref>)</td></tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Plasma</td>
<td valign="top" align="center">Chronic superficial gastritis (n=20)<break/>Gastric cancer (n=17)<break/>Post-operation of gastric cancer (n=15)</td>
<td valign="top" align="center">GC-TOFMS</td>
<td valign="top" align="left">i) 15 discriminatory metabolites (increase, &#x003B2;-hydroxybutyrate, &#x003B2;-D-methylglucopyranoside, heptanoic acid; decrease, succinate, malate, fumarate, citrate, serine, glycine, cysteine, and S-methyl-cysteine, docosahexaenoic acid, inositol-phosphate, octadecenoic acid, and 9-(Z)-hexadecenoic acid) were identified between gastric cancer and chronic superficial gastritis group<break/>ii) Surgical removal of the cancer tissues could change levels of many metabolites that characterized the metabolic phenotype of the cancer group</td>
<td valign="top" align="center">(<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>)</td></tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Serum</td>
<td valign="top" align="center">Chronic superficial gastritis (n=17)<break/>Gastric cancer (n=32)</td>
<td valign="top" align="center">LC-MS</td>
<td valign="top" align="left">Gastric cancer displays upregulated kynurenine pathway of tryptophan metabolism: increase, indole-3-lactic acid, anthranilic acid, kynurenic acid; decrease, kynurenine, 3-indoxyl-sulfate</td>
<td valign="top" align="center">(<xref rid="b29-ijo-51-01-0005" ref-type="bibr">29</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-51-01-0005">
<p>HPLC-ESI-MS, high performance liquid chromatography-electrospray ionization-mass spectrometry; GC-TOMS, gas chromatography-time-of-flight mass spectrometry; GC-MS, gas chromatography-mass spectrometry; LC-MS, liquid chromatography-mass spectrometry.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-51-01-0005" position="float">
<label>Table II</label>
<caption>
<p>Metabolites in urine samples between cancer groups and non-cancer groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Year</th>
<th valign="top" align="center">Patients/animal models</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Method</th>
<th valign="top" align="center">Major findings</th>
<th valign="top" align="center">Ref</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">SCID mice (male) SCG-7901 cell line</td>
<td valign="top" align="center">Gastric cancer (n=16) (metastasis group (=8 and non-metastasis (=8)<break/>Control group (n=8)</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) 10 metabolites were different between cancer group (metastasis and non-metastasis) and control group: lactic acid, malic acid, citric acid, glycerol, hexadecanoic acid, pyrimidine, uric acid, butanoic acid, propanoic, butanedioic acid<break/>ii) 7 metabolites were characteristic between metastasis and non-metastasis groups: alanine, L-proline, glycerol, butanoic acid, butanedioic acid, L-threonic acid, myo-inositol. iii) Changes in lactic acid and butanoic acid showed diagnostic value</td>
<td valign="top" align="center">(<xref rid="b30-ijo-51-01-0005" ref-type="bibr">30</xref>)</td></tr>
<tr>
<td valign="top" align="left">2014</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Training set/validation set<break/>Gastric cancer (n=50/23)<break/>Healthy people (n=50/31)</td>
<td valign="top" align="center"><sup>1</sup>H-NMR</td>
<td valign="top" align="left">i) Altered metabolites in urine samples of gastric cancer are mainly related to amino acids and lipid metabolism; levels of 4-hydroxyphenylacetate, alamine, phenylacetylglycine, manmitol, glycolate and arginine are related to T stage of gastric cancer<break/>ii) Hypoxanthine is able to predict a recovery trend in postoperative groups of gastric cancer</td>
<td valign="top" align="center">(<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>)</td></tr>
<tr>
<td valign="top" align="left">2015</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Gastric cancer (n=13)<break/>Healthy people (n=9)</td>
<td valign="top" align="center">LC-MS</td>
<td valign="top" align="left">16 metabolites were differently expressed between cancer and healthy group: succinic acid, malic acid, alanine, glycine, L-proline, hexadecanoic acid, pyrimidine, uric acid, glycocholic acid, hippurate, urea, 4-deoxythreonic acid, phenylacetylglycine, taurine, 2-oxoglutarate</td>
<td valign="top" align="center">(<xref rid="b32-ijo-51-01-0005" ref-type="bibr">32</xref>)</td></tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Gastric cancer (n=43)<break/>Healthy people (n=40)<break/>Barrett's esophagus (n=40)</td>
<td valign="top" align="center"><sup>1</sup>H-NMR</td>
<td valign="top" align="left">i) Levels of sucrose, dimethylamine, 1-methylnicotinamide, 2-furoylgylycine, N-acetyl-serotonin, trans-aconitate, formate and serotonin greatly altered in urine samples of gastric cancer<break/>ii) Alanine, 2-hydroxyisobutyrate and 3-indoxylsulfate produced a discriminatory model regarding discriminating cancer and control group</td>
<td valign="top" align="center">(<xref rid="b33-ijo-51-01-0005" ref-type="bibr">33</xref>)</td></tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Gastric cancer (n=199)<break/>Healthy people (n=87)</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) 17 metabolites are largely different between cancer and control groups in training set: glycine, valine, isoleucine, serine, threonine, proline, methionine, tyrosine, tryptophan, ethyl 2-methylacetoacetate, levulinic acid, p-cresol, benzylmalonic acid, 4-hydroxybenzoic acid, hippuric acid, benzil, alamine<break/>ii) 14 of them show diagnostic value that is better than classic blood biomarkers on validation set, most of which were related to amino acid metabolism<break/>iii) Proline, p-cresol and 4-hydroxybenzoic acid produce outcome-prediction value by survival analysis</td>
<td valign="top" align="center">(<xref rid="b34-ijo-51-01-0005" ref-type="bibr">34</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijo-51-01-0005">
<p>SCID, severe combined immune deficiency; <sup>1</sup>H-NMR, <sup>1</sup>hydrogen-nuclear magnetic resonance; LC-MS, liquid chromatography-mass spectrometry.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-ijo-51-01-0005" position="float">
<label>Table III</label>
<caption>
<p>Metabolites in tissue samples between cancer groups and non-cancer groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Year</th>
<th valign="top" align="center">Patients/animal models</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Method</th>
<th valign="top" align="center">Major findings</th>
<th valign="top" align="center">Ref.</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">2009</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">12 pairs of matched tumor and normal gastric tissues</td>
<td valign="top" align="center">CE-TOFMS</td>
<td valign="top" align="left">i) Extremely low glucose, high lactate and glycolytic intermediate concentrations were found in both colon and stomach tumor tissues<break/>ii) Significant accumulation of all amino acids except glutamine in the tumor tissues</td>
<td valign="top" align="center">(<xref rid="b35-ijo-51-01-0005" ref-type="bibr">35</xref>)</td></tr>
<tr>
<td valign="top" align="left">2010</td>
<td valign="top" align="center">Male SCID mice<break/>SCG-7901 cell line</td>
<td valign="top" align="center">Cancer group<break/>(Non-metastasis 8 Metastasis 8)<break/>Control group 6</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) 29 metabolites were differently expressed between metastasis and non-metastasis group: glucose, succinate, malicacid, lactate, alanine, glycine, valine, leucine, dimethylglycine, isoleucine, propanamide, butanedioic, proline, methionnine, serine, threonine, asparagine, glutamine, phosphoserine, glutamate, lysine, arginine, docosanoic, octadecanoic, pyrimidine, hypoxanthine, inositol, propanedioc, pyrrolidine<break/>ii) Serine and proline metabolisms were highlighted in metastatic group</td>
<td valign="top" align="center">(<xref rid="b36-ijo-51-01-0005" ref-type="bibr">36</xref>)</td></tr>
<tr>
<td valign="top" align="left">2010</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">18 pairs of matched tumor and normal gastric tissues</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) L-glutamine, phosphoserine, L-valine, L-isoleucine, serine, heptanedioic acid, propanoic acid, phenanthrenol, butanetriol, acetamid, butenoic acid, oxazolethione, naphthalene, L-altrose, L-mannofuranose, galactofuranoside, myo-inositol, D-ribofuranose were detected differently between the malignant tissues and the adjacent non-malignant tissues of gastric mucosa<break/>ii) 5 of them were detected differently between the non-invasive tumors and the invasive tumors: higher levels of L-cysteine, L-tyrosine, hypoxanthine and lower levels of phenanthrenol, butanoic acid in the invasive group</td>
<td valign="top" align="center">(<xref rid="b37-ijo-51-01-0005" ref-type="bibr">37</xref>)</td></tr>
<tr>
<td valign="top" align="left">2010</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">65 pairs of matched gastric cardiac cancer and adjacent normal tissues</td>
<td valign="top" align="center">GC-TOFMS</td>
<td valign="top" align="left">i) Dysregulation of pyruvic acid efflux was an important glucose metabolic signature in the development of gastric cardiac cancer<break/>ii) Transition from glycolysis to the Krebs cycle had an inhibitory effect on GCC progression, which could be served as a potential therapeutic target for gastric cardiac cancer</td>
<td valign="top" align="center">(<xref rid="b38-ijo-51-01-0005" ref-type="bibr">38</xref>)</td></tr>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">30 pairs of matched tumor and normal gastric tissues</td>
<td valign="top" align="center">GC-MS</td>
<td valign="top" align="left">i) 15 differential metabolites were identified: &#x003B1;-ketoglutaric acid, fumaric acid, valric acid, 9-hexadecennoic acid, 3-hydroxybutanoic acid, hexadecanoic acid, octadecanoic acid, <italic>cis</italic>-vaccenic acid, arachidonic acid, 1-phenanthrene-carboxylic acid, 9-octadecenamide, squalene, xylonic acid, benzenepropanoic acid<break/>ii) Current models could not discriminate normal mucosa and different pathological stages of GC tissues based on their identified metabolic profiles</td>
<td valign="top" align="center">(<xref rid="b39-ijo-51-01-0005" ref-type="bibr">39</xref>)</td></tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Gastric cancer (n=17)<break/>Chronic superficial gastritis (n=20)</td>
<td valign="top" align="center">GC-TOFMS</td>
<td valign="top" align="left">Discriminating metabolites associated with glucose, amino acids, lipid and nucleotide metabolism were detected between two groups: increase, citrate, malate, fumarate, succinate), cysteine, 2-aminoadipate, 9-(Z)-hexadecenoic acid, docosahexaenoic acid, &#x003B2;-hydroxybutyrate, uracil, monomethylphosphate; decrease, glucose, maltose, ribose, &#x003B2;-D-methylglucopyranoside, fructose-6-phosphate, inositol and ribitol, glyceric acid-2,3-diphosphate, nonesterified cholesterol, uridine</td>
<td valign="top" align="center">(<xref rid="b28-ijo-51-01-0005" ref-type="bibr">28</xref>)<break/>(<xref rid="b31-ijo-51-01-0005" ref-type="bibr">31</xref>)</td></tr>
<tr>
<td valign="top" align="left">2014</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">30 pairs of matched tumor and normal gastric tissues</td>
<td valign="top" align="center">HR-MAS-NMR</td>
<td valign="top" align="left">Lipid metabolites were significantly lower, while some amino acids (such as isoleucine, glutamate, leucine, valine, alanine, lysine and phenylalanine), taurine and lactate were significantly higher in tumor tissues</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-ijo-51-01-0005">
<p>CE-TOFMS, capillary electrophoresis time-of-flight mass spectrometry; HR-MAS NMR, high-resolution magic angle spinning nuclear magnetic resonance.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-ijo-51-01-0005" position="float">
<label>Table IV</label>
<caption>
<p>Metabolites in gastric juice between cancer groups and non-cancer groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Year</th>
<th valign="top" align="center">Patients/animal models</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Method</th>
<th valign="top" align="center">Major findings</th>
<th valign="top" align="center">Ref.</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Benign gastric diseases (n=68)<break/>Gastric malignancies (n=33)</td>
<td valign="top" align="center">HPLC<break/>LC-MS</td>
<td valign="top" align="left">i) Aromatic amino acids in gastric juice can be used as diagnostic biomarkers to screen gastric malignancies, areas under receiver operating characteristic curves for tyrosine, phenylalanine and tryptophan were 0.838, 0.856 and 0.816, respectively<break/>ii) The sensitivity and specificity of gastric malignancy detection with phenylalanine reached 87.9% and 79.4%</td>
<td valign="top" align="center">(<xref rid="b40-ijo-51-01-0005" ref-type="bibr">40</xref>)</td></tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Non-neoplastic gastric disease (n=70)<break/>Early gastric cancer (n=49)<break/>Advanced gastric cancer (n=66)</td>
<td valign="top" align="center">HPLC</td>
<td valign="top" align="left">Levels of tyrosine, phenylalanine and tryptophan in gastric juice increased in the early phase of gastric carcinogenesis, which could function as a biomarker to screen this disease at early stage in the general population</td>
<td valign="top" align="center">(<xref rid="b41-ijo-51-01-0005" ref-type="bibr">41</xref>)</td></tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">Patients</td>
<td valign="top" align="center">Chronic superficial gastritis (n=17)<break/>Gastric cancer (n=32)</td>
<td valign="top" align="center">LC-MS</td>
<td valign="top" align="left">Upregulated kynurenine pathway of tryptophan metabolism: levels of tryptophan, anthranilic acid, nicotinic acid, kynurenic acid, kynurenine and indole-3-lactic acid (P&gt;0.05) were increased</td>
<td valign="top" align="center">(<xref rid="b29-ijo-51-01-0005" ref-type="bibr">29</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-ijo-51-01-0005">
<p>HPLC, high performance liquid chromatography.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
