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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2013.2525</article-id>
<article-id pub-id-type="publisher-id">or-30-02-0535</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>microRNA detection in feces, sputum, pleural effusion and urine: Novel tools for cancer screening (Review)</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>XIAO</surname><given-names>YU-FENG</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>YONG</surname><given-names>XIN</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>FAN</surname><given-names>YA-HAN</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>L&#x000DC;</surname><given-names>MU-HAN</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>YANG</surname><given-names>SHI-MING</given-names></name><xref ref-type="corresp" rid="c1-or-30-02-0535"/></contrib>
<contrib contrib-type="author">
<name><surname>HU</surname><given-names>CHANG-JIANG</given-names></name><xref ref-type="corresp" rid="c1-or-30-02-0535"/></contrib>
<aff id="af1-or-30-02-0535">Department of Gastroenterology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-or-30-02-0535">Correspondence to: Dr Shi-Ming Yang or Dr Chang-Jiang Hu, Department of Gastroenterology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, P.R. China, E-mail: <email>shimingyang@yahoo.com</email>, E-mail: <email>hcj6699@yahoo.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>8</month>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>07</day>
<month>06</month>
<year>2013</year></pub-date>
<volume>30</volume>
<issue>2</issue>
<fpage>535</fpage>
<lpage>544</lpage>
<history>
<date date-type="received">
<day>02</day>
<month>02</month>
<year>2013</year></date>
<date date-type="accepted">
<day>15</day>
<month>04</month>
<year>2013</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>microRNAs (miRNAs) are short non-coding RNA sequences that play important roles in the regulation of gene expression. They have significant regulatory functions in basic cellular processes, including differentiation, proliferation and apoptosis. miRNAs are differentially expressed in tumors, compared with normal tissues. Importantly, miRNAs are also stable and abundantly present in body fluids and feces. The high reproducibility, sensitivity and specificity of miRNAs in body fluids and feces enable miRNAs to be used as potential molecular markers for cancer screening. An increasingly large number of research studies have reported the role of miRNAs in this field. In the present review, we focused mainly on the application of detecting miRNAs in stool, sputum, pleural effusion and urine, to detect colon, lung and urological cancers, highlighting the role of miRNAs in early diagnosis and prognosis.</p></abstract>
<kwd-group>
<kwd>microRNAs</kwd>
<kwd>feces</kwd>
<kwd>sputum</kwd>
<kwd>pleural effusion</kwd>
<kwd>urine</kwd>
<kwd>cancers</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="other">
<title>1. Introduction</title>
<p>Cancer is currently the most lethal human disease. Lung and colorectal cancers are the first and third most common types of cancers and the leading causes of cancer-related mortality worldwide (<xref rid="b1-or-30-02-0535" ref-type="bibr">1</xref>). Bladder cancer, a urological cancer, is the second most common malignancy that involves the urinary system, and the clinical outcome is often poor once the tumor becomes invasive (<xref rid="b2-or-30-02-0535" ref-type="bibr">2</xref>). Although much progress has been made in the prevention, early diagnosis and treatment of cancer, survival rates are still not optimistic, indicating that a more powerful method to detect cancer in the early stages is needed.</p>
<p>Early detection of cancer has been reported to greatly improve both the survival rate and prognosis, suggesting that the key to oncotherapy may lie in early diagnosis (<xref rid="b3-or-30-02-0535" ref-type="bibr">3</xref>&#x02013;<xref rid="b7-or-30-02-0535" ref-type="bibr">7</xref>). Thus, developing a method for the early detection of cancer is both important and necessary. Ideally, an early detection method would have high sensitivity, specificity and repeatability, and would be safe, affordable and acceptable to the patient as well.</p>
<p>Traditional methods, such as colonoscopy (<xref rid="b8-or-30-02-0535" ref-type="bibr">8</xref>), bronchoscopy (<xref rid="b9-or-30-02-0535" ref-type="bibr">9</xref>) and cystoscopy (<xref rid="b10-or-30-02-0535" ref-type="bibr">10</xref>), are used to detect colon cancer, non-small cell lung cancer (NSCLC) and bladder cancer, respectively. These methods have greatly benefited many individuals in the past and they are still used to diagnose cancer. However, their use has been hampered by their invasive nature, the manpower resources they require, their high cost and the discomfort they cause patients (<xref rid="b11-or-30-02-0535" ref-type="bibr">11</xref>&#x02013;<xref rid="b13-or-30-02-0535" ref-type="bibr">13</xref>).</p>
<p>Biological screening methods, including the fecal occult blood test (FOBT) for colon cancer; sputum cytology for NSCLC (<xref rid="b14-or-30-02-0535" ref-type="bibr">14</xref>); and the bladder tumor antigen (BTA test), BTA stat test, nuclear matrix protein 22 (NMP22), and urinary cytology for bladder cancer, have also been applied in recent years. However, these methods each have a significant sensitivity (<xref rid="b15-or-30-02-0535" ref-type="bibr">15</xref>,<xref rid="b16-or-30-02-0535" ref-type="bibr">16</xref>) or specificity (<xref rid="b13-or-30-02-0535" ref-type="bibr">13</xref>), but not both.</p>
<p>As previously mentioned, these methods have drawbacks that prevent their wide application. However, miRNA research in recent years has shed new light on early stage cancer detection. miRNAs can function as oncogenes and tumor suppressors (<xref rid="b17-or-30-02-0535" ref-type="bibr">17</xref>). Many studies have reported that miRNA levels are altered during cancer (<xref rid="b18-or-30-02-0535" ref-type="bibr">18</xref>&#x02013;<xref rid="b20-or-30-02-0535" ref-type="bibr">20</xref>), suggesting that miRNA dysregulation may be the perfect tool for the early diagnosis of cancer.</p>
<p>miRNAs are short, non-coding RNA sequences of 20&#x02013;22 nucleotides that are involved in crucial biological processes, such as development, differentiation, apoptosis and proliferation (<xref rid="b21-or-30-02-0535" ref-type="bibr">21</xref>&#x02013;<xref rid="b23-or-30-02-0535" ref-type="bibr">23</xref>). Each miRNA has numerous gene targets, and miRNAs mainly function by pairing with the 3&#x02032;-untranslated regions of target mRNAs (<xref rid="b24-or-30-02-0535" ref-type="bibr">24</xref>). Nevertheless, a recent study reported that miR-34a modulates MDM4 expression via a target site in the open reading frame (<xref rid="b25-or-30-02-0535" ref-type="bibr">25</xref>). According to existing data, miRNAs regulate at least 30&#x00025; of protein-coding genes (<xref rid="b26-or-30-02-0535" ref-type="bibr">26</xref>) suggesting that miRNAs may control cellular processes in this manner.</p>
<p>This review discusses the possibility of detecting miRNAs in feces, sputum, pleural effusion and urine in order to screen for certain types of cancer, such as colon, lung and bladder cancers, respectively. These three body fluids and stool have been widely used to detect diseases in the clinic for many years, and the results of their biochemical indices have high diagnostic value. These materials have the advantages of reproducibility, abundant content and tissue-specificity.</p>
<p>With the development of genetic sequencing tools, many researchers have realized that traditional clinical detection methods cannot make full use of the genetic value of these materials. Notably, we found that many studies have focused on the potential use of miRNAs in these materials as biomarkers to detect cancer. microRNAs in these materials are useful candidates for cancer detection for the following reason: miRNAs in body fluids and stool are stable under extreme conditions, including a range of temperatures and pH values, after extended storage and after multiple freeze-thaw cycles (<xref rid="b27-or-30-02-0535" ref-type="bibr">27</xref>&#x02013;<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>), indicating that miRNAs in these materials are stable enough to detect even after the time of collection. However, synthetic miRNAs can be quickly degraded by RNase in the plasma (<xref rid="b28-or-30-02-0535" ref-type="bibr">28</xref>). Brase <italic>et al</italic>(<xref rid="b33-or-30-02-0535" ref-type="bibr">33</xref>) hypothesized that miRNAs hide in microvesicles, which protect them against RNase activity, resulting in their stability (<xref rid="f1-or-30-02-0535" ref-type="fig">Fig. 1</xref>). Microvesicles are small particles that are released into the cellular space and blood stream from cell membranes (<xref rid="b34-or-30-02-0535" ref-type="bibr">34</xref>,<xref rid="b35-or-30-02-0535" ref-type="bibr">35</xref>). Evidence indicates that mRNAs and miRNAs can be transported through microvesicles between cells (<xref rid="b36-or-30-02-0535" ref-type="bibr">36</xref>). Furthermore, these encapsulated miRNAs have been found to be involved in the regulation of hematopoiesis and cellular differentiation (<xref rid="b37-or-30-02-0535" ref-type="bibr">37</xref>). Microvesicles, also known as exosomes, have been correlated with both cancer stage and miRNA levels in primary cancers when secreted into the extracellular milieu (<xref rid="b29-or-30-02-0535" ref-type="bibr">29</xref>,<xref rid="b38-or-30-02-0535" ref-type="bibr">38</xref>), suggesting that exosomes can be used to transport genetic information, such as miRNAs, to support tumor growth and progression (<xref rid="b39-or-30-02-0535" ref-type="bibr">39</xref>). Additionally, there is another mechanism that can explain miRNA stability. Certain miRNAs have been reported to bind to a specific DNA/RNA-binding protein to avoid degradation (<xref rid="b40-or-30-02-0535" ref-type="bibr">40</xref>). miRNAs have been abundantly detected in the stool, sputum, pleural effusion and urine, suggesting that changes in the expression levels of miRNAs can be easily detected. Xie <italic>et al</italic>(<xref rid="b41-or-30-02-0535" ref-type="bibr">41</xref>) showed that miRNAs were more stable than RNA molecules, despite significant miRNA deposition. Evidence has shown that miRNAs can act as oncogenes and tumor suppressors. Therefore, changes in miRNA content may indicate that cancer is present.</p>
<p>In the present study, we summarize the value of miRNAs in three body fluids and stool for the early diagnosis and prognosis of tumors.</p></sec>
<sec sec-type="other">
<title>2. Fecal miRNA detection in colon cancer screening</title>
<p>Colorectal cancer (CRC) is the third most common cancer worldwide and the leading cause of cancer-related mortality. Approximately 50&#x00025; of patients will die from the development of distant metastases, and the survival rate over a 5-year period is ~40&#x00025; after diagnosis and treatment (<xref rid="b1-or-30-02-0535" ref-type="bibr">1</xref>). However, early detection of such neoplasms leads to a better prognosis. There are several methods for detecting CRC, but their drawbacks have limited their wide application and dissemination worldwide. Colonoscopy is the gold standard for CRC diagnosis. However, the limitation outlined previously (including the invasiveness of the procedure, the high cost of the equipment and the manpower required), have restricted the wide application of this procedure. Furthermore, clinical guidelines suggest that colonoscopic screening should begin at the age of 50. However, over 80&#x00025; of these individuals could potentially be spared the procedure as no relevant lesions are found (<xref rid="b42-or-30-02-0535" ref-type="bibr">42</xref>,<xref rid="b43-or-30-02-0535" ref-type="bibr">43</xref>). The FOBT is one of the most commonly used biological methods, but its effects are undesirable. The sensitivity of a single FOBT to detect CRC is only 30&#x02013;50&#x00025; (<xref rid="b44-or-30-02-0535" ref-type="bibr">44</xref>), indicating that a substantial number of neoplasms may be missed (<xref rid="b45-or-30-02-0535" ref-type="bibr">45</xref>). One meta-analysis also reported that FOBT screening reduces the relative risk of CRC-related mortality by ~16&#x00025; (<xref rid="b46-or-30-02-0535" ref-type="bibr">46</xref>), suggesting that FOBT may not be an ideal method for the diagnosis of CRC. Compared with colonoscopy, CT colonography (CTC) has the advantage of reducing the side effects and drawbacks of colonoscopy, including bleeding and cardiorespiratory events. CTC also has a high sensitivity and specificity of 55&#x02013;90&#x00025; and 86&#x02013;96&#x00025;, respectively (<xref rid="b47-or-30-02-0535" ref-type="bibr">47</xref>&#x02013;<xref rid="b50-or-30-02-0535" ref-type="bibr">50</xref>). However, the sensitivity of CTC decreases as the size of the polyps decrease (<xref rid="b50-or-30-02-0535" ref-type="bibr">50</xref>). In short, CTC is a useful method for colon cancer screening, aside from the low sensitivity in the detection of small polyps and the high cost.</p>
<p>Another promising approach for the early detection of CRC is the analysis of molecular biomarkers, such as mRNA and DNA in stool. One study showed that COX-2 mRNA could be detected in 26 out of 29 CRC cases (90&#x00025; sensitivity) (<xref rid="b51-or-30-02-0535" ref-type="bibr">51</xref>). In fecal DNA-based testing, which was developed in the early 1990s, a number of genes in the stool, including APC, p53 and K-Ras, are used as targets for CRC identification (<xref rid="b45-or-30-02-0535" ref-type="bibr">45</xref>). The diagnostic sensitivity of this test ranged from 52 to 94&#x00025; for CRC detection (<xref rid="b52-or-30-02-0535" ref-type="bibr">52</xref>), and the specificity ranged from 93 to 97&#x00025; (<xref rid="b53-or-30-02-0535" ref-type="bibr">53</xref>,<xref rid="b54-or-30-02-0535" ref-type="bibr">54</xref>). However, fecal mRNAs and DNA degrade easily due to the activity of RNase and DNase, limiting the wide application of this test (<xref rid="b55-or-30-02-0535" ref-type="bibr">55</xref>). In addition, the cost of sDNA (stool DNA) screening can be as high as &#x00024;800 (<xref rid="b56-or-30-02-0535" ref-type="bibr">56</xref>), which is another factor limiting the widespread use of the test.</p>
<p>miRNAs are short non-coding RNA sequences that play an important role in the regulation of gene expression. Aberrant gene expression can alter miRNA expression in cancer cells (<xref rid="b21-or-30-02-0535" ref-type="bibr">21</xref>). Changes in miRNA expression can be observed in many types of cancers, including CRC (<xref rid="b57-or-30-02-0535" ref-type="bibr">57</xref>). Many studies have reported that miRNAs are detectable in the stool (<xref rid="tI-or-30-02-0535" ref-type="table">Table I</xref>). Stool-based miRNAs are continuously released and well mixed with the stool, leading to high repeatability of tests on the same stool sample (<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>). In addition, the miRNA content is very high in stool samples and is detectable in CRC patients (<xref rid="b58-or-30-02-0535" ref-type="bibr">58</xref>). miRNAs are the result of cell exfoliation and easily accumulate in the stool, which makes miRNAs detectable in stool samples (<xref rid="b59-or-30-02-0535" ref-type="bibr">59</xref>). miRNAs have also been reported to remain stable in stool samples (<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>,<xref rid="b60-or-30-02-0535" ref-type="bibr">60</xref>). The high content and stability make it possible to detect miRNAs in stool samples (<xref rid="b61-or-30-02-0535" ref-type="bibr">61</xref>,<xref rid="b62-or-30-02-0535" ref-type="bibr">62</xref>).</p>
<p>In addition to the advantages mentioned above, stool-based miRNA detection also has high sensitivity and specificity (<xref rid="tI-or-30-02-0535" ref-type="table">Table I</xref>). miR-144&#x0002A; was found to be overexpressed in the feces of CRC patients, indicating that it could be a potential diagnostic marker for CRC detection, with a sensitivity of 74&#x00025; and a specificity of 87&#x00025; (n&#x0003D;75, P&#x0003D;0.0001) (<xref rid="b60-or-30-02-0535" ref-type="bibr">60</xref>). miR-92a and miR-21 were also reported to have these two advantages. miR-92a was found to have a sensitivity of 71.6&#x00025; and a specificity of 73.3&#x00025;, whereas miR-21 had a sensitivity of 55.7&#x00025; and a specificity of 73.3&#x00025; for CRC (<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>). Compared with miR-21, miR-92a was able to detect polyps to a great extent and is likely to be a relevant precancerous polyp marker. The level of miR-92a decreased significantly after the removal of the tumor or advanced adenoma, whereas the level of miR-21 decreased only after the removal of the tumor (<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>). Link <italic>et al</italic>(<xref rid="b59-or-30-02-0535" ref-type="bibr">59</xref>) reported increased expression of miR-21 and miR-106a in CRC stool samples, compared with normal ones. They used a newly developed DMA (direct microRNA analysis) methodology that easily detected miRNAs in the stool. Kalimutho <italic>et al</italic>(<xref rid="b63-or-30-02-0535" ref-type="bibr">63</xref>) found that promoter methylation of miR-34b/c and miR-148a was detected in the feces of CRC patients, suggesting that miR-34b/c and miR-148a may be involved in colorectal tumorigenesis and metastasis.</p></sec>
<sec sec-type="other">
<title>3. Sputum and pleural effusion miRNA detection in lung cancer</title>
<p>Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. Lung cancer is the leading cause of cancer-related mortality worldwide (<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>,<xref rid="b64-or-30-02-0535" ref-type="bibr">64</xref>). Therefore, we focused on the application of new miRNA techniques in lung cancer detection. NSCLC can be histologically subdivided into four subtypes: adenocarcinoma, squamous cell carcinoma, large cell carcinoma and &#x02018;other&#x02019; (neuroendocrine cancers, carcinoid tumors) (<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>). The disease is often diagnosed during the advanced stages and carries a poor prognosis, with a 5-year survival rate of 13&#x00025; (<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>,<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>,<xref rid="b65-or-30-02-0535" ref-type="bibr">65</xref>). However, the survival rate of NSCLC increases to 83&#x00025; when detected during stage I. Many methods are currently used to detect and diagnose lung cancer, including computed tomography, magnetic resonance imaging and bronchoscopy (<xref rid="b66-or-30-02-0535" ref-type="bibr">66</xref>). Even though the sensitivities of computed tomography (CT) were reported to be as high as 100&#x00025; (<xref rid="b67-or-30-02-0535" ref-type="bibr">67</xref>&#x02013;<xref rid="b69-or-30-02-0535" ref-type="bibr">69</xref>), the cumulative frequency of subjects with suspicious lesions is high, especially in silicosis patients, in which CT generates a considerable number of false-positive results due to high detection of many non-calcified nodules, which have the potential to be confused with lung cancer (<xref rid="b70-or-30-02-0535" ref-type="bibr">70</xref>). These results suggest that although CT is widely used to detect NSCLC, it is plagued by false-positive results at the cost of improved sensitivity (<xref rid="b71-or-30-02-0535" ref-type="bibr">71</xref>). Similar to colonoscopy, bronchoscopy is also invasive (<xref rid="b12-or-30-02-0535" ref-type="bibr">12</xref>,<xref rid="b72-or-30-02-0535" ref-type="bibr">72</xref>). Although sputum cytology is gentle, the low sensitivity limits its wide application. The levels of bronchial epithelial cells, which are detected by sputum cytology, are very low in the sputum (<xref rid="b14-or-30-02-0535" ref-type="bibr">14</xref>).</p>
<p>Aside from traditional methods, many studies have reported the use of biological methods, such as molecular genetics, to screen for lung cancer that may meet the standards for an ideal diagnostic method. It has been reported that tissue-based biomarkers can distinguish the tumors which originate in the lung from metastases that originated in other sites in the body by detecting significant biomarkers, such as tumor-suppressor genes, regions of chromosomal amplification, differential miRNA expression and variable miRNA expression (<xref rid="b73-or-30-02-0535" ref-type="bibr">73</xref>&#x02013;<xref rid="b78-or-30-02-0535" ref-type="bibr">78</xref>). However, this method is limited by the accessibility of the specimens and the stability of the assessment offered. Blood-based biomarkers are another biomarker method that can be used to detect lung cancer. Indeed, blood is an ideal material due to the abundance of cancer-specific biomarkers, such as DNA methylation (<xref rid="b79-or-30-02-0535" ref-type="bibr">79</xref>), gene expression (<xref rid="b80-or-30-02-0535" ref-type="bibr">80</xref>), blood-miRNA (<xref rid="b81-or-30-02-0535" ref-type="bibr">81</xref>), CTC (<xref rid="b82-or-30-02-0535" ref-type="bibr">82</xref>) and cell-free DNA. Unfortunately, there are still some drawbacks preventing blood-based biomarkers from being successful clinical biomarkers of cancer, such as low sensitivity, scarce quantities of any given marker, the complex nature of the blood matrix and lack of reproducibility (<xref rid="b73-or-30-02-0535" ref-type="bibr">73</xref>). One study attempted to detect specific DNA in the sputum to screen for lung cancer but did not detect any differences in either the free DNA or cellular DNA concentrations in the sputum of lung cancer patients compared with that of healthy controls (<xref rid="b83-or-30-02-0535" ref-type="bibr">83</xref>), indicating that DNA in the sputum may not be an effective biomarker for lung cancer.</p>
<p>Many miRNAs have been proven to be abnormally expressed in cancer tissue (<xref rid="b57-or-30-02-0535" ref-type="bibr">57</xref>). For this reason, miRNAs are potentially a useful tool for diagnosing and screening human malignancies, including lung cancer (<xref rid="b78-or-30-02-0535" ref-type="bibr">78</xref>). Sputum in particular has been considered to be a potential surrogate material for the non-invasive diagnosis of lung cancer. Taken together, these results indicate that miRNAs in the sputum may be used to screen for lung cancer. miRNAs in the sputum can be detected using real-time RT-PCR with TaqMan miRNA assays (Applied Biosystems) (<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>,<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>). Sputum miRNAs are very stable (<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>,<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>), similar to the stool miRNAs mentioned above. The combination of sputum miRNAs have shown promising results (<xref rid="tII-or-30-02-0535" ref-type="table">Table II</xref>). miR-21 has been found to be overexpressed in many types of cancer and this finding has been demonstrated in many studies (<xref rid="b84-or-30-02-0535" ref-type="bibr">84</xref>). In two recent studies, miR-21 was reported to have a sensitivity of 72.6&#x00025; and a specificity of 79.5&#x00025; (<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>) and a specificity of 69.66&#x00025; (95&#x00025; CI, 0.46&#x02013;0.86) and specificity of 100.00&#x00025; (95&#x00025; CI, 0.77&#x02013;1.00) (<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>). Therefore, examination of miR-21 expression had higher sensitivity than that of sputum cytology &#x0005B;47.82&#x00025; (95&#x00025; CI, 0.27&#x02013;0.69) sensitivity and 100.00&#x00025; (95&#x00025; CI, 0.77&#x02013;1.00) specificity (<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>)&#x0005D; for the diagnosis and early detection of lung cancer in patients. In addition, it has been reported that increased miR-21 expression is not significantly associated with length of smoking exposure in both cancer patients and controls, suggesting that dysregulation of miR-21 in lung cancer might not be caused by tobacco smoking-related damage (<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>). Even though overexpression of miR-155 may not distinguish lung cancer patients from controls (<xref rid="b32-or-30-02-0535" ref-type="bibr">32</xref>), it is correlated with shortened survival of patients after resection (<xref rid="b78-or-30-02-0535" ref-type="bibr">78</xref>). In other words, elevated miR-155 may indicate poor prognosis in lung cancer. Yu <italic>et al</italic>(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>) reported that detection of a combination of different miRNAs (miR-486, miR-21, miR-200b and miR-375) may be a better predictor, with a sensitivity and specificity of 80.6 and 91.7&#x00025;, when compared with that of a single miRNA (as shown in <xref rid="tII-or-30-02-0535" ref-type="table">Table II</xref>). Xing <italic>et al</italic>(<xref rid="b65-or-30-02-0535" ref-type="bibr">65</xref>) also showed that detection of a combination of miRNAs (miR-205, miR-210 and miR-708) greatly improve sensitivity and specificity. These two studies indicate that the future detection of miRNAs may involve the detection of a combination rather than a single miRNA. In addition, Yu <italic>et al</italic>(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>) found that miRNA markers had higher diagnostic efficiency for adenocarcinomas than for squamous cell carcinomas of the lung.</p>
<p>Pleural effusion is tightly correlated with NSCLC. Approximately 15&#x00025; of cancer patients are diagnosed with malignant pleural effusions (MPEs) during early diagnosis (<xref rid="b85-or-30-02-0535" ref-type="bibr">85</xref>). MPEs are an important route of proliferation of tumor cells and are a frequent cause of morbidity in NSCLC in lung cancer (<xref rid="b85-or-30-02-0535" ref-type="bibr">85</xref>). MPEs are very crucial for the treatment of NSCLC. Not all patients benefit from chemotherapy, particularly those with short overall survival times (<xref rid="b86-or-30-02-0535" ref-type="bibr">86</xref>). There are many methods that can be used to detect MPEs, including cytology, needle biopsy and medical thoracoscopy. Cytology is the standard diagnostic method for malignant effusions. Malignant cells are used as a diagnostic sign, but the quantity of malignant cells may be rather low, limiting the rate of positives (~50&#x02013;70&#x00025;), even with repeated testing (<xref rid="b87-or-30-02-0535" ref-type="bibr">87</xref>). Although needle biopsy and medical thoracoscopy can improve the sensitivity of diagnosis, their invasiveness and high cost limit their wide use (<xref rid="b88-or-30-02-0535" ref-type="bibr">88</xref>). Many studies have reported using biomarkers to detect pleural effusion, such as marker proteins (<xref rid="b89-or-30-02-0535" ref-type="bibr">89</xref>), DNA methylation status (<xref rid="b90-or-30-02-0535" ref-type="bibr">90</xref>) and cell-free mRNA levels (<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>), but these methods are limited by their diagnostic accuracy. Research personnel have noticed the close relationship between miRNAs and cancer, thus, they attempted to find evidence that could demonstrate that pleural effusion miRNAs are novel biomarkers for lung cancer diagnosis and early detection (<xref rid="b92-or-30-02-0535" ref-type="bibr">92</xref>). However, to the best of our knowledge, few studies have been conducted in this new field of interest. Xie <italic>et al</italic>(<xref rid="b41-or-30-02-0535" ref-type="bibr">41</xref>) demonstrated that the levels of miR-30d, miR-24, miR-26a are higher in malignant effusions compared with normal effusions. miR-152 was first found to be a potential diagnostic biomarker for drug sensitivity since the amounts of miR-152 in tumor cells that were resistant to docetaxel were lower than those of chemosensitive tumor cells (<xref rid="b41-or-30-02-0535" ref-type="bibr">41</xref>). Wang <italic>et al</italic>(<xref rid="b86-or-30-02-0535" ref-type="bibr">86</xref>) reported five miRNA expression signatures (high expression levels of miR-100 and low expression levels of miR-134, miR-345, miR-151 and miR-93) that were an independent prognostic marker of poor survival. This was the first report of miRNA expression signatures in MPEs that predicted NSCLC patient prognosis. It seems that using miRNAs as a biomarker to screen for MPE is a promising strategy, yet the mechanism remains unknown. Thus, further study is warranted. In conclusion, detection of miRNAs in the sputum and pleural effusion is a promising method that may be used to prevent lung cancer, both by early detection and accurate prognosis.</p></sec>
<sec sec-type="other">
<title>4. Urine miRNA detection in urological cancer</title>
<p>Bladder cancer is the second most common malignancy of the urinary system. These tumors are often invasive at the time of diagnosis (<xref rid="b2-or-30-02-0535" ref-type="bibr">2</xref>). Urothelial carcinoma (UC) is among the five most common malignancies worldwide, and it is also the second leading cause of mortality in patients with genitourinary tract malignancies (<xref rid="b93-or-30-02-0535" ref-type="bibr">93</xref>). UCs are the most common histological type of bladder cancer. Ninety-five percent of primary urothelial cell cancers arise from the bladder.</p>
<p>There are several clinical methods that are used to detect bladder cancer. Cystoscopy is currently the standard diagnostic tool, but it is difficult for cystoscopy to detect flat lesions or carcinoma <italic>in situ</italic>. In addition, the invasive nature and high expense of the procedure restrict it from being widely used (<xref rid="b94-or-30-02-0535" ref-type="bibr">94</xref>,<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>). Urinary cytology may be a useful method for the detection of bladder cancer, due to the non-invasive nature and high specificity of the procedure (90&#x02013;95&#x00025;); however, it has a rather low sensitivity (30&#x02013;40&#x00025;) (<xref rid="b96-or-30-02-0535" ref-type="bibr">96</xref>). Therefore, many alternative methods have been presented to diagnose bladder cancer, such as the BTA test, BTA stat test and NMP22 (<xref rid="b97-or-30-02-0535" ref-type="bibr">97</xref>&#x02013;<xref rid="b99-or-30-02-0535" ref-type="bibr">99</xref>). These methods have a higher sensitivity (50&#x02013;70&#x00025;) than cystoscopy, but the increased sensitivity comes at the cost of specificity (60&#x02013;80&#x00025;) (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>). Even though many achievements have been made in prevention and treatment in recent years, the rates of morbidity and mortality remain high (<xref rid="b100-or-30-02-0535" ref-type="bibr">100</xref>). A new biomarker for bladder cancer detection is urgently needed.</p>
<p>As previously discussed, miRNAs are aberrantly expressed or mutated in many types of cancers, suggesting that detection of aberrant miRNA in the urine may be a useful method for bladder cancer screening. In addition, miRNAs have been reported to be stable in the urine and also show high specificity and sensitivity (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>,<xref rid="b101-or-30-02-0535" ref-type="bibr">101</xref>&#x02013;<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>). These characteristics indicate that urinary miRNAs are a potential biomarker for bladder cancer and UC screening. It has been reported that patients with bladder cancer have lower expression of miR-200 family members (miR-200a, miR-200b and miR-200c), miR-192 and miR-155 in the urinary sediment, and higher expression of miR-155 in the urinary supernatant (<xref rid="b101-or-30-02-0535" ref-type="bibr">101</xref>). It was also shown that the levels of these miRNAs were altered after surgery. The postsurgical levels of miR-200a, miR-200b, miR-200c, miR-141, miR-429, miR-205, miR-192 and miR-146a increased significantly, whereas the level of miR-155 remained similar (<xref rid="b101-or-30-02-0535" ref-type="bibr">101</xref>). Taken together, these results suggest that bladder cancer is the direct cause of depressed urinary miRNA levels, but the mechanism of this suppression is unknown. This study also revealed reverse correlations between the expression of miR-200 family members and EMT markers (ZEB1, vimentin, TGF-&#x003B2;1 and RhoA) (<xref rid="b101-or-30-02-0535" ref-type="bibr">101</xref>). Downregulation of miR-200 family members facilitates EMT of the transitional epithelium and promotes cancer progression (<xref rid="b104-or-30-02-0535" ref-type="bibr">104</xref>). This may explain the mechanism, but further study is required. In other studies, miR-452 and miR-222 were reported to play an oncogenic role, while miR-143 was able to function as a tumor suppressor (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>,<xref rid="b105-or-30-02-0535" ref-type="bibr">105</xref>&#x02013;<xref rid="b107-or-30-02-0535" ref-type="bibr">107</xref>). The present study also revealed that miR-452 may contribute to tumorigenesis and aid in bladder cancer diagnostics, whereas miR-143 and miR-222 may be related to tumor progression and may be used for clinical outcome assessment (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>,<xref rid="b107-or-30-02-0535" ref-type="bibr">107</xref>). In addition, expression levels of of miR-222 and miR-452 were inversely correlated with ERBB4 expression, while ERBB4 was localized to several cellular counterparts, including the membrane (<xref rid="b108-or-30-02-0535" ref-type="bibr">108</xref>), cytoplasm (<xref rid="b108-or-30-02-0535" ref-type="bibr">108</xref>) and nucleus (<xref rid="b109-or-30-02-0535" ref-type="bibr">109</xref>). miR-222 was correlated with ERBB3 protein expression (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>), which is also related to tumor stage, grade, size, growth pattern, recurrence, disease-specificity and overall survival (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>). Although the study did not reveal the translocation mechanisms of ERBB3 and ERBB4 in bladder cancer progression, it did reveal the clinical relevance of subcellular protein localization (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>), providing new insight into the relationship between miRNA, protein and bladder cancer.</p>
<p>In UC, miR-96 and miR-183 levels in patient urine samples were found to be significantly higher than those of the control group, with 71.0&#x00025; sensitivity and 89.2&#x00025; specificity, and 74.0&#x00025; sensitivity and 77.3&#x00025; specificity, respectively. However, more false-positive cases were found in miR-183 detection compared with miR-96 detection, suggesting that miR-183 may be useful as a staging marker but not as a diagnostic marker. miR-183 is upregulated and functions in UTI as well as UC, and miR-96, which has a high sensitivity and specificity, seems to be a tumor biomarker that can be used to distinguish UC patients from non-UC patients (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>). The present study also showed that 9 genes involved in activating apoptosis were commonly downregulated in both miR-96 and miR-183 transfectants (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>). The characteristics of the miRNAs in the urine are summarized in <xref rid="tIII-or-30-02-0535" ref-type="table">Table III</xref>.</p></sec>
<sec sec-type="methods">
<title>5. Common methods used in miRNA diagnosis</title>
<p>The potential of miRNAs in four materials (stool, sputum, pleural effusion and urine) to serve as biomarkers for cancer screening was discussed above. miRNA diagnostic methods are varied (<xref rid="b110-or-30-02-0535" ref-type="bibr">110</xref>). In this section of the study, we will focus on the steps that need to be taken to obtain miRNAs and the methods that are used to detect them.</p>
<p>To obtain miRNA profiles, the following steps need to be taken: sample collection, miRNA extraction, miRNA detection, data processing and statistical analysis. Each step is important to the final result. Sample collection is particularly important as it determines the reliability of the results. In this step, researchers should consider many factors, such as age, ethnic group, gender and prior treatments (<xref rid="b111-or-30-02-0535" ref-type="bibr">111</xref>). Concerning miRNA extraction, miRNAs can be isolated from samples using three pre-methods: miRNeasy, TRIzol and mirVANA (<xref rid="b112-or-30-02-0535" ref-type="bibr">112</xref>). Even though all three methods are suitable for profiling miRNAs from total RNA, researchers still need to be prudent in choosing a method, since small differences exist among the methods and may be a source of bias. miRNA detection is based on the expression levels of miRNAs that have been demonstrated to play a role in disease (<xref rid="b111-or-30-02-0535" ref-type="bibr">111</xref>). Researchers should choose the appropriate technology to detect miRNAs using the various available methods. In addition to the detection itself, the stability and reproducibility of the method should also be taken into consideration, to reduce the deviation (<xref rid="b113-or-30-02-0535" ref-type="bibr">113</xref>). Data processing mainly refers to the pre-processing of miRNAs for detection and normalization (<xref rid="b111-or-30-02-0535" ref-type="bibr">111</xref>), which is necessary to minimize systematic experimental or technical variations. Statistical analysis is the last step and mainly focuses on comparing the differences between groups and indicating the probability that the differences are clinically relevant, using the Student&apos;s t-test as many studies have reported (<xref rid="b113-or-30-02-0535" ref-type="bibr">113</xref>,<xref rid="b114-or-30-02-0535" ref-type="bibr">114</xref>).</p>
<p>Although miRNA detection methods vary, the vast majority of them rely on Watson-Crick base-pairing between complementary chains of nucleotides and hybridization between a strand of nucleic acid and its target miRNA (<xref rid="b111-or-30-02-0535" ref-type="bibr">111</xref>). We summarized the advantages, disadvantages and improvements of 6 of the most widely used methods: Northern blot analysis, bioluminescence, RT-PCR, fluorescence correlation spectroscopy, <italic>in situ</italic> hybridization and microarray (<xref rid="b115-or-30-02-0535" ref-type="bibr">115</xref>&#x02013;<xref rid="b132-or-30-02-0535" ref-type="bibr">132</xref>) (<xref rid="tIV-or-30-02-0535" ref-type="table">Table IV</xref>).</p></sec>
<sec sec-type="other">
<title>6. Conclusions and prospects</title>
<p>In the present review, we discussed the possibility of screening miRNAs in the stool, sputum, pleural effusion and urine to distinguish colon cancer, NSCLC and bladder cancer. Other body fluids contain miRNAs as well, such as amniotic fluid, cerebrospinal fluid, colostrums, peritoneal fluid, plasma, saliva, seminal fluid and tears (<xref rid="b133-or-30-02-0535" ref-type="bibr">133</xref>). Few studies have reported the relationship between cancer and miRNAs in amniotic fluid, cerebrospinal fluid, colostrums, saliva, peritoneal fluid, seminal fluid and tears. Although many studies have reported the close relationship between plasma miRNAs and cancer, one plasma miRNA has been shown to be altered in multiple types of cancers &#x0005B;e.g. changes in miR-21 in the plasma can potentially indicate colorectal cancer (<xref rid="b134-or-30-02-0535" ref-type="bibr">134</xref>) and gastric cancer (<xref rid="b135-or-30-02-0535" ref-type="bibr">135</xref>)&#x0005D;, which makes the diagnostic value lower than the four materials we listed previously. We did not put much emphasis on the blood biomarker limitations we discussed (low sensitivity, scarce quantity, complex nature and lack of reproducibility). In addition to miRNAs in the blood, a recent study also reported that miR-421 in gastric fluid could be used as a biomarker to screen for gastric cancer, with a sensitivity and specificity that were equal to 71.4 and 71.7&#x00025;, respectively (<xref rid="b136-or-30-02-0535" ref-type="bibr">136</xref>). This study also demonstrated that miRNAs in gastric fluid had superior purity to miRNAs in the plasma. However, it is not easy to obtain gastric fluid in clinical practice and more research on miRNAs in gastric fluid is still needed. Thus, we did not focus on the application of miRNA detection in gastric fluid.</p>
<p>Biomarkers are important for the early detection and prevention of malignancies as they are altered before histological and morphological changes occur. The ideal biomarker must be non-invasive, inexpensive, specific and sensitive to the disease state and a reliable early indication of disease before clinical symptoms appear (<xref rid="b133-or-30-02-0535" ref-type="bibr">133</xref>). Even though many biomarkers (most of them are protein) have been used to screen for cancer, they do not function as expected. Improving the diagnostic specificity and sensitivity of proteins is expensive, time-consuming and difficult (<xref rid="b133-or-30-02-0535" ref-type="bibr">133</xref>). Meanwhile, miRNA detection is much easier due to PCR or other DNA amplification methods, which can compensate for the low content limits, indicating that miRNAs may be promising biomarkers for screening cancer.</p>
<p>miRNAs are excellent biomarker. The specificity and sensitivity of miRNAs for screening cancer are higher than other biomarkers, particularly the combination of specific miRNAs, as we have previously discussed (<xref rid="tI-or-30-02-0535" ref-type="table">Tables I</xref>&#x02013;<xref rid="tIII-or-30-02-0535" ref-type="table">III</xref>). Detection of miRNAs is also an inexpensive and rapid method that costs ~&#x00024;10 (US) and takes ~3.5 h to obtain the results (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>), indicating its possible use to detect tumor biomarkers. In addition, it is a non-invasive method for screening cancer and the materials are easy to obtain.</p>
<p>However, even with all of these advantages, more effort is required to clarify the usefulness of miRNAs. Recent research has focused on the phenomenon of aberrantly expressed miRNAs in related body fluids and feces. The mechanisms of action remain unknown, suggesting that the mechanisms require future investigation. In addition, it is not easy to identify miRNA target genes. A single miRNA may regulate the transcription of more than one mRNA, and one specific mRNA may be regulated by several miRNAs (<xref rid="b103-or-30-02-0535" ref-type="bibr">103</xref>,<xref rid="b137-or-30-02-0535" ref-type="bibr">137</xref>), making it difficult to determine a particular miRNA. In many studies, RNU6B was reported to be an endogenous control that could be used to normalize the expression of miRNAs in tissue specimens, but to the best of our knowledge, it may not be the ideal endogenous control for miRNAs due to its rapid degradation in samples (such as stool) (<xref rid="b138-or-30-02-0535" ref-type="bibr">138</xref>) and uncertain changes in the content (<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>). Therefore, it is important to find a stable powerful endogenous control. Although several studies have proposed solutions (<xref rid="b59-or-30-02-0535" ref-type="bibr">59</xref>,<xref rid="b95-or-30-02-0535" ref-type="bibr">95</xref>), further examination is required.</p>
<p>In conclusion, miRNA detection is a promising method for cancer screening. Many opportunities and challenges lie ahead. We believe that miRNA-based detection will be used for cancer screening in the near future.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The present study was supported by grants from the National Natural Science Foundation of China (no. 81272689), and the Chongqing Science Fund for Distinguished Young Scholars (CSTC, 2009BA5045).</p></ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">microRNA</term>
<def>
<p>miRNA</p></def></def-item>
<def-item>
<term id="G2">NSCLC</term>
<def>
<p>non-small cell lung cancer</p></def></def-item>
<def-item>
<term id="G3">FOBT</term>
<def>
<p>fecal occult blood test</p></def></def-item>
<def-item>
<term id="G4">BTA test</term>
<def>
<p>bladder tumor antigen test</p></def></def-item>
<def-item>
<term id="G5">NMP22</term>
<def>
<p>nuclear matrix protein 22</p></def></def-item>
<def-item>
<term id="G6">BC</term>
<def>
<p>bladder cancer</p></def></def-item>
<def-item>
<term id="G7">CRC</term>
<def>
<p>colorectal cancer</p></def></def-item>
<def-item>
<term id="G8">CTC</term>
<def>
<p>CT colonography</p></def></def-item>
<def-item>
<term id="G9">CT</term>
<def>
<p>computed tomography</p></def></def-item>
<def-item>
<term id="G10">MPE</term>
<def>
<p>malignant pleural effusion</p></def></def-item>
<def-item>
<term id="G11">UC</term>
<def>
<p>urothelial carcinoma</p></def></def-item>
<def-item>
<term id="G12">EMT</term>
<def>
<p>epithelial-mesenchymal transition</p></def></def-item>
<def-item>
<term id="G13">ERBB4</term>
<def>
<p>epidermal growth factor receptor</p></def></def-item>
<def-item>
<term id="G14">COX-2</term>
<def>
<p>cyclooxygenase-2</p></def></def-item>
<def-item>
<term id="G15">APC</term>
<def>
<p>adenomatous polyposis coli</p></def></def-item>
<def-item>
<term id="G16">UTI</term>
<def>
<p>urinary tract infection</p></def></def-item></def-list></glossary>
<ref-list>
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<floats-group>
<fig id="f1-or-30-02-0535" position="float">
<label>Figure 1</label>
<caption>
<p>Microvesicles help protect miRNAs against degradation by RNase and help miRNAs pass through the cell membrane into the extracellular milieu. (a) Inward budding and scission of vesicles from the limiting membrane. (b) miRNAs hide themselves in the microvesicles. (c) Microvesicles help to protect miRNAs against degradation by RNase. (d) Exosomes remain stable in the extracellular milieu. (e) miRNAs are carried into adjacent cells to regulate and control cellular processes.</p></caption>
<graphic xlink:href="OR-30-02-0535-g00.gif"/></fig>
<table-wrap id="tI-or-30-02-0535" position="float">
<label>Table I</label>
<caption>
<p>Summary of the characteristics of miRNAs in the stool.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">miRNA</th>
<th align="center" valign="bottom">Refs.</th>
<th align="center" valign="bottom">Dysregulation (stool)</th>
<th align="center" valign="bottom">Specificity (&#x00025;)</th>
<th align="center" valign="bottom">Sensitivity (&#x00025;)</th>
<th align="center" valign="bottom">Samples</th>
<th align="center" valign="bottom">Normalization</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">miR-144&#x0002A;</td>
<td align="center" valign="top">(<xref rid="b57-or-30-02-0535" ref-type="bibr">57</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">74</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">miR-378</td></tr>
<tr>
<td align="left" valign="top">miR-92a</td>
<td align="center" valign="top">(<xref rid="b30-or-30-02-0535" ref-type="bibr">30</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">73.3</td>
<td align="center" valign="top">71.6</td>
<td align="right" valign="top">246</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top">miR-21</td>
<td align="center" valign="top">(<xref rid="b30-or-30-02-0535" ref-type="bibr">30</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">73.3</td>
<td align="center" valign="top">55.7</td>
<td align="right" valign="top">246</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top">miR-21</td>
<td align="center" valign="top">(<xref rid="b21-or-30-02-0535" ref-type="bibr">21</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">37</td>
<td align="center" valign="top">miR-16 and miR-26b</td></tr>
<tr>
<td align="left" valign="top">miR-135</td>
<td align="center" valign="top">(<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">46.2</td>
<td align="right" valign="top">340</td>
<td align="center" valign="top">U6 snRNA</td></tr>
<tr>
<td align="left" valign="top">miR-17&#x02013;92</td>
<td align="center" valign="top">(<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">81.5</td>
<td align="center" valign="top">69.5</td>
<td align="right" valign="top">340</td>
<td align="center" valign="top">U6 snRNA</td></tr>
<tr>
<td align="left" valign="top">miR-34b/c</td>
<td align="center" valign="top">(<xref rid="b59-or-30-02-0535" ref-type="bibr">59</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">87.2</td>
<td align="center" valign="top">75</td>
<td align="right" valign="top">67</td>
<td align="center" valign="top">RNU19 and RNU6B</td></tr>
<tr>
<td align="left" valign="top">miR-148a</td>
<td align="center" valign="top">(<xref rid="b59-or-30-02-0535" ref-type="bibr">59</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">67</td>
<td align="center" valign="top">RNU19 and RNU6B</td></tr>
<tr>
<td align="left" valign="top">miR-106a</td>
<td align="center" valign="top">(<xref rid="b21-or-30-02-0535" ref-type="bibr">21</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">37</td>
<td align="center" valign="top">miR-16 and miR-26b</td></tr>
<tr>
<td align="left" valign="top">miR-145</td>
<td align="center" valign="top">(<xref rid="b58-or-30-02-0535" ref-type="bibr">58</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">51</td>
<td align="center" valign="top">miR-16</td></tr>
<tr>
<td align="left" valign="top">miR-143</td>
<td align="center" valign="top">(<xref rid="b58-or-30-02-0535" ref-type="bibr">58</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">51</td>
<td align="center" valign="top">miR-16</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-30-02-0535">
<p>&#x02018;--&#x02019; not mentioned in the original study.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-or-30-02-0535" position="float">
<label>Table II</label>
<caption>
<p>Summary of the characteristics of miRNAs in sputum and pleural effusion.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Materials</th>
<th align="center" valign="bottom">miRNA</th>
<th align="center" valign="bottom">Refs.</th>
<th align="center" valign="bottom">Dysregulation</th>
<th align="center" valign="bottom">Specificity (&#x00025;)</th>
<th align="center" valign="bottom">Sensitivity (&#x00025;)</th>
<th align="center" valign="bottom">Samples</th>
<th align="center" valign="bottom">Normalization</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Sputum</td>
<td align="left" valign="top">miR-21</td>
<td align="center" valign="top">(<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">69.7</td>
<td align="right" valign="top">40</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-155</td>
<td align="center" valign="top">(<xref rid="b31-or-30-02-0535" ref-type="bibr">31</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">40</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-486</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">79.4</td>
<td align="center" valign="top">66.9</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-126</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">73.8</td>
<td align="center" valign="top">67.2</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-145</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">82.9</td>
<td align="center" valign="top">59.5</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-21</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">79.2</td>
<td align="center" valign="top">72.6</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-182</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">79.5</td>
<td align="center" valign="top">64.3</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-200b</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">78.5</td>
<td align="center" valign="top">62.9</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-375</td>
<td align="center" valign="top">(<xref rid="b6-or-30-02-0535" ref-type="bibr">6</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">80.6</td>
<td align="center" valign="top">63.9</td>
<td align="right" valign="top">72</td>
<td align="center" valign="top">RNU6B</td></tr>
<tr>
<td align="left" valign="top">Malignant effusion</td>
<td align="left" valign="top">miR-93</td>
<td align="center" valign="top">(<xref rid="b75-or-30-02-0535" ref-type="bibr">75</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">184</td>
<td align="center" valign="top">ath-miR159a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-100</td>
<td align="center" valign="top">(<xref rid="b75-or-30-02-0535" ref-type="bibr">75</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">184</td>
<td align="center" valign="top">ath-miR159a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-134</td>
<td align="center" valign="top">(<xref rid="b75-or-30-02-0535" ref-type="bibr">75</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">184</td>
<td align="center" valign="top">ath-miR159a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-151</td>
<td align="center" valign="top">(<xref rid="b75-or-30-02-0535" ref-type="bibr">75</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">184</td>
<td align="center" valign="top">ath-miR159a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-345</td>
<td align="center" valign="top">(<xref rid="b75-or-30-02-0535" ref-type="bibr">75</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">184</td>
<td align="center" valign="top">ath-miR159a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-24</td>
<td align="center" valign="top">(<xref rid="b40-or-30-02-0535" ref-type="bibr">40</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">80.5</td>
<td align="center" valign="top">53.6</td>
<td align="right" valign="top">110</td>
<td align="center" valign="top">ath-miR156a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-30d</td>
<td align="center" valign="top">(<xref rid="b40-or-30-02-0535" ref-type="bibr">40</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">67.1</td>
<td align="center" valign="top">71.4</td>
<td align="right" valign="top">110</td>
<td align="center" valign="top">ath-miR156a</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">miR-26a</td>
<td align="center" valign="top">(<xref rid="b40-or-30-02-0535" ref-type="bibr">40</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">29</td>
<td align="center" valign="top">ath-miR156a</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-or-30-02-0535">
<p>&#x02018;--&#x02019; not mentioned in the original study.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-or-30-02-0535" position="float">
<label>Table III</label>
<caption>
<p>Summary of the characteristics of miRNAs in the urine.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">miRNA</th>
<th align="center" valign="bottom">Refs.</th>
<th align="center" valign="bottom">Dysregulation</th>
<th align="center" valign="bottom">Specificity (&#x00025;)</th>
<th align="center" valign="bottom">Sensitivity (&#x00025;)</th>
<th align="center" valign="bottom">Samples</th>
<th align="center" valign="bottom">Normalization</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">miR-143</td>
<td align="center" valign="top">(<xref rid="b93-or-30-02-0535" ref-type="bibr">93</xref>)</td>
<td align="left" valign="top">Downregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">37</td>
<td align="center" valign="top">miR-16</td></tr>
<tr>
<td align="left" valign="top">miR-222</td>
<td align="center" valign="top">(<xref rid="b93-or-30-02-0535" ref-type="bibr">93</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">37</td>
<td align="center" valign="top">miR-16</td></tr>
<tr>
<td align="left" valign="top">miR-452</td>
<td align="center" valign="top">(<xref rid="b93-or-30-02-0535" ref-type="bibr">93</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">37</td>
<td align="center" valign="top">miR-16</td></tr>
<tr>
<td align="left" valign="top">miR-96</td>
<td align="center" valign="top">(<xref rid="b85-or-30-02-0535" ref-type="bibr">85</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">89.2</td>
<td align="center" valign="top">71</td>
<td align="right" valign="top">149</td>
<td align="center" valign="top">RNAU6B</td></tr>
<tr>
<td align="left" valign="top">miR-183</td>
<td align="center" valign="top">(<xref rid="b85-or-30-02-0535" ref-type="bibr">85</xref>)</td>
<td align="left" valign="top">Upregulated</td>
<td align="center" valign="top">77.3</td>
<td align="center" valign="top">74</td>
<td align="right" valign="top">149</td>
<td align="center" valign="top">RNAU6B</td></tr>
<tr>
<td align="left" valign="top">miR-200a-b-c</td>
<td align="center" valign="top">(<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>)</td>
<td align="left" valign="top">Downregulated (urinary sediment)</td>
<td align="center" valign="top">52.6 (mir-200a)</td>
<td align="center" valign="top">100 (mir-200a)</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">&#x003B2;-glucuronidase and RNU48</td></tr>
<tr>
<td align="left" valign="top">miR-192</td>
<td align="center" valign="top">(<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>)</td>
<td align="left" valign="top">Downregulated (urinary sediment)</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">&#x003B2;-glucuronidase and RNU48</td></tr>
<tr>
<td align="left" valign="top">miR-192</td>
<td align="center" valign="top">(<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>)</td>
<td align="left" valign="top">Downregulated (urinary supernatant)</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">&#x003B2;-glucuronidase and RNU48</td></tr>
<tr>
<td align="left" valign="top">miR-155</td>
<td align="center" valign="top">(<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>)</td>
<td align="left" valign="top">Downregulated (urinary sediment)</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">&#x003B2;-glucuronidase and RNU48</td></tr>
<tr>
<td align="left" valign="top">miR-155</td>
<td align="center" valign="top">(<xref rid="b91-or-30-02-0535" ref-type="bibr">91</xref>)</td>
<td align="left" valign="top">Upregulated (urinary sediment)</td>
<td align="center" valign="top">--</td>
<td align="center" valign="top">--</td>
<td align="right" valign="top">75</td>
<td align="center" valign="top">&#x003B2;-glucuronidase and RNU48</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-or-30-02-0535">
<p>&#x02018;--&#x02019; not mentioned in the original study.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-or-30-02-0535" position="float">
<label>Table IV</label>
<caption>
<p>Features of the common methods used in miRNA diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Method</th>
<th align="center" valign="bottom">Refs.</th>
<th align="center" valign="bottom">Advantage</th>
<th align="center" valign="bottom">Limitation</th>
<th align="center" valign="bottom">Improvement</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Northern blot analysis</td>
<td align="center" valign="top">(<xref rid="b105-or-30-02-0535" ref-type="bibr">105</xref>&#x02013;<xref rid="b108-or-30-02-0535" ref-type="bibr">108</xref>)</td>
<td align="left" valign="top">Gold standard for miRNA expression profiling<break/>High specificity</td>
<td align="left" valign="top">Poor sensitivity<break/>Time-consuming<break/>Not practical in a large amount</td>
<td align="left" valign="top">The use of locked nucleic acid (LNA)-modified oligonucleotide probes (<xref rid="b107-or-30-02-0535" ref-type="bibr">107</xref>)</td></tr>
<tr>
<td align="left" valign="top">Bioluminescence</td>
<td align="center" valign="top">(<xref rid="b109-or-30-02-0535" ref-type="bibr">109</xref>)</td>
<td align="left" valign="top">Rapid and high-sensitivity<break/>Suitable for application in clinical diagnostic</td>
<td align="left" valign="top">Complex steps</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">RT-PCR</td>
<td align="center" valign="top">(<xref rid="b110-or-30-02-0535" ref-type="bibr">110</xref>,<xref rid="b111-or-30-02-0535" ref-type="bibr">111</xref>)</td>
<td align="left" valign="top">High sensitivity and accuracy<break/>Easy to operate</td>
<td align="left" valign="top">Expensive<break/>Low throughput</td>
<td align="left" valign="top">Use of LNA-modified primers (<xref rid="b112-or-30-02-0535" ref-type="bibr">112</xref>)<break/>Use of quantitative stem-loop<break/>RT-PCR for the detection of mature miRNAs (<xref rid="b110-or-30-02-0535" ref-type="bibr">110</xref>)</td></tr>
<tr>
<td align="left" valign="top">Fluorescence correlation spectroscopy</td>
<td align="center" valign="top">(<xref rid="b113-or-30-02-0535" ref-type="bibr">113</xref>)</td>
<td align="left" valign="top">High sensitivity<break/>Low detectable concentration</td>
<td align="left" valign="top">Special equipment is needed</td>
<td align="left" valign="top">Use of a dual probe labeling system (<xref rid="b113-or-30-02-0535" ref-type="bibr">113</xref>)</td></tr>
<tr>
<td align="left" valign="top"><italic>In situ</italic> hybridization</td>
<td align="center" valign="top">(<xref rid="b114-or-30-02-0535" ref-type="bibr">114</xref>&#x02013;<xref rid="b116-or-30-02-0535" ref-type="bibr">116</xref>)</td>
<td align="left" valign="top">Specific to the type of cell<break/>Semiquantitative analysis</td>
<td align="left" valign="top">Low quantification power<break/>Low throughput</td>
<td align="left" valign="top">LNA miRNA oligo probe (<xref rid="b116-or-30-02-0535" ref-type="bibr">116</xref>)<break/>Use of RNA molecules act as a primer (<xref rid="b117-or-30-02-0535" ref-type="bibr">117</xref>)</td></tr>
<tr>
<td align="left" valign="top">Microarray</td>
<td align="center" valign="top">(<xref rid="b118-or-30-02-0535" ref-type="bibr">118</xref>&#x02013;<xref rid="b120-or-30-02-0535" ref-type="bibr">120</xref>)</td>
<td align="left" valign="top">High throughput<break/>Widely used</td>
<td align="left" valign="top">Lack of quantitative data<break/>Expensive equipment</td>
<td align="left" valign="top">Probe design<break/>Sample labeling<break/>Immobilization chemistry<break/>Microarray chip signal-detection method (<xref rid="b121-or-30-02-0535" ref-type="bibr">121</xref>,<xref rid="b122-or-30-02-0535" ref-type="bibr">122</xref>)</td></tr></tbody></table></table-wrap></floats-group></article>
