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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="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.2012.1502</article-id>
<article-id pub-id-type="publisher-id">ijo-41-03-1068</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Putative tumor metastasis-associated genes in human gastric cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>TUAN</surname><given-names>TSUNG-FAN</given-names></name><xref rid="af1-ijo-41-03-1068" ref-type="aff"><sup>1</sup></xref><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>CHUNG</surname><given-names>CHENG-TA</given-names></name><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref><xref rid="af3-ijo-41-03-1068" ref-type="aff"><sup>3</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>TSOU</surname><given-names>HSIAO-HUI</given-names></name><xref rid="af4-ijo-41-03-1068" ref-type="aff"><sup>4</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>CHEN</surname><given-names>FONG-WEN</given-names></name><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref><xref rid="af5-ijo-41-03-1068" ref-type="aff"><sup>5</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>LIN</surname><given-names>HENG-LIANG</given-names></name><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>LAI</surname><given-names>YIU-KAY</given-names></name><xref rid="af3-ijo-41-03-1068" ref-type="aff"><sup>3</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>LEE</surname><given-names>WEN-SEN</given-names></name><xref rid="af1-ijo-41-03-1068" ref-type="aff"><sup>1</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>CHAO</surname><given-names>YU-SHENG</given-names></name><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>HWANG</surname><given-names>LING-LING</given-names></name><xref rid="af1-ijo-41-03-1068" ref-type="aff"><sup>1</sup></xref><xref ref-type="corresp" rid="c2-ijo-41-03-1068"/></contrib>
<contrib contrib-type="author">
<name><surname>CHEN</surname><given-names>CHIUNG-TONG</given-names></name><xref rid="af1-ijo-41-03-1068" ref-type="aff"><sup>1</sup></xref><xref rid="af2-ijo-41-03-1068" ref-type="aff"><sup>2</sup></xref><xref rid="af5-ijo-41-03-1068" ref-type="aff"><sup>5</sup></xref><xref ref-type="corresp" rid="c1-ijo-41-03-1068"/></contrib></contrib-group>
<aff id="af1-ijo-41-03-1068">
<label>1</label>Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei;</aff>
<aff id="af2-ijo-41-03-1068">
<label>2</label>Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli;</aff>
<aff id="af3-ijo-41-03-1068">
<label>3</label>Institute of Biotechnology, National Tsing Hua University, Hsinchu;</aff>
<aff id="af4-ijo-41-03-1068">
<label>4</label>Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Miaoli;</aff>
<aff id="af5-ijo-41-03-1068">
<label>5</label>Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, R.O.C.</aff>
<author-notes>
<corresp id="c1-ijo-41-03-1068">Correspondence to: Dr Chiung-Tong Chen, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli 35053, Taiwan, R.O.C., E-mail: <email>ctchen@nhri.org.tw</email></corresp>
<corresp id="c2-ijo-41-03-1068">Dr Ling-Ling Hwang, Graduate Institute of Medical Sciences, School of Medicine, Taipei Medical University, 250 Wu-Hsing Street Sinyi, Taipei 11031, Taiwan, R.O.C., E-mail: <email>llhwang@tmu.edu.tw</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>9</month>
<year>2012</year></pub-date>
<pub-date pub-type="epub">
<day>31</day>
<month>05</month>
<year>2012</year></pub-date>
<volume>41</volume>
<issue>3</issue>
<fpage>1068</fpage>
<lpage>1084</lpage>
<history>
<date date-type="received">
<day>04</day>
<month>03</month>
<year>2012</year></date>
<date date-type="accepted">
<day>11</day>
<month>05</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2012, Spandidos Publications</copyright-statement>
<copyright-year>2012</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>Gastric cancer is one of the leading causes of cancer mortality and its malignancy, resulting from disseminated cancer cells of diffuse type, is clinically manifested as metastases to the liver and peritoneum. The aim of the present study was to identify putative tumor metastasis-associated genes in human gastric cancer cells of diffuse type. An MKN45 cell line constitutively expressing green fluorescent protein (MKN45-GFP) was established and selected using the Transwell<sup>&#x000AE;</sup> system for invasive sublines MKN45-GFP-4, MKN45-GFP-10 and MKN45-GFP-12. MKN45-GFP-10 and MKN45-GFP-12 are highly invasive compared to the others. The mRNA levels were measured with cDNA microarrays and correlated with their invasion abilities in these sublines. Many of the genes identified with a positive or negative correlation are associated with angiogenesis, cell cycle, cytoskeleton and cell motility, protease and cell adhesion, as well as cellular signal transduction. In particular, novel genes without known functions were also noted. RT-PCR and western blot analyses were applied to verify the expression of selective genes. Following orthotopical intraperitoneal implantation, MKN45-GFP-12 demonstrated significantly higher <italic>in vivo</italic> tumor malignancies than parental MKN45-GFP in ascites induction and liver-invasion in mice. We have identified putative gastric tumor metastasis-associated, as well as novel genes. These genes and their protein products are to be further explored for their functional roles associated with tumor metastasis. The molecular profiles of these identified genes, gene transcripts and proteins in the patient specimens are likely to be useful biomarkers for diagnostic, therapeutic and/or prognostics. Most importantly, they may be used as molecular targets for the discovery of antitumor drugs against human gastric cancer metastasis.</p></abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>invasion</kwd>
<kwd>metastasis</kwd>
<kwd>microarray</kwd>
<kwd>orthotopic implantation</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer is one of the most common types of human cancer (<xref rid="b1-ijo-41-03-1068" ref-type="bibr">1</xref>) and the second most common cause of cancer mortality in the world (<xref rid="b2-ijo-41-03-1068" ref-type="bibr">2</xref>). Gastric cancer has a wide variation in geographical distribution and the incidence is particularly high in Asia, South America and Eastern Europe (<xref rid="b3-ijo-41-03-1068" ref-type="bibr">3</xref>&#x02013;<xref rid="b5-ijo-41-03-1068" ref-type="bibr">5</xref>). Gastric cancer patients are frequently diagnosed in advanced stages. Approximately 50&#x00025; of all patients present with unresectable, locally advanced or metastatic diseases (<xref rid="b6-ijo-41-03-1068" ref-type="bibr">6</xref>,<xref rid="b7-ijo-41-03-1068" ref-type="bibr">7</xref>) and recurrence after curative gastrectomy remains high (<xref rid="b8-ijo-41-03-1068" ref-type="bibr">8</xref>,<xref rid="b9-ijo-41-03-1068" ref-type="bibr">9</xref>). The prognosis for patients with advanced gastric cancer remains dismal, and little improvement in the survival rates has been achieved in recent years (<xref rid="b6-ijo-41-03-1068" ref-type="bibr">6</xref>,<xref rid="b8-ijo-41-03-1068" ref-type="bibr">8</xref>,<xref rid="b9-ijo-41-03-1068" ref-type="bibr">9</xref>). Gastric tumor metastases, during which the cancer cells spread to distal sites such as the liver, omentum, and lymph nodes, are the leading cause of cancer mortality. Gastric tumor of diffuse type is poorly differentiated and comprises dissemination-prone gastric cancer cells lacking the abilities of tissue cohesion and gastric biological functions. This particular type of gastric cancer cells demonstrates an increased propensity for metastatic spread via the intra- and trans-peritoneal wall and, therefore, have been associated with poor prognosis (<xref rid="b7-ijo-41-03-1068" ref-type="bibr">7</xref>). The somatic inactivation of E-cadherin in diffuse type gastric cancer also increases epithelial-mesenchymal transition (EMT) ability and leads to an enhanced metastasis potential of this gastric cancer type (<xref rid="b10-ijo-41-03-1068" ref-type="bibr">10</xref>). There is currently no effective chemotherapeutics, nor is a molecular-targeted drug available, for treating the advanced gastric cancerous diseases. Further research into molecular targeting drugs against gastric tumor metastasis is warranted.</p>
<p>In the search for target molecules for the development of anticancer drugs, research efforts to identify biological molecules involved in the gastric cancer cell specific proliferation, invasion and metastasis have been extensive. Elevated plasma osteopontin was associated with gastric cancer development and patient survival (<xref rid="b11-ijo-41-03-1068" ref-type="bibr">11</xref>). Overexpression of c-met (<xref rid="b12-ijo-41-03-1068" ref-type="bibr">12</xref>), LOXL2 (<xref rid="b13-ijo-41-03-1068" ref-type="bibr">13</xref>), EGFR (<xref rid="b14-ijo-41-03-1068" ref-type="bibr">14</xref>), HER2 (<xref rid="b15-ijo-41-03-1068" ref-type="bibr">15</xref>), TNS4 (<xref rid="b16-ijo-41-03-1068" ref-type="bibr">16</xref>) and phosphorylated mTOR (<xref rid="b17-ijo-41-03-1068" ref-type="bibr">17</xref>) in gastric tumors has been well correlated with the prognostic factors of tumor staging, the depth of tumor invasion and/or lymph node metastasis. On the other hand, reduced expressions of nm23 (<xref rid="b18-ijo-41-03-1068" ref-type="bibr">18</xref>), galectin-3 (<xref rid="b19-ijo-41-03-1068" ref-type="bibr">19</xref>), or TIP30 (<xref rid="b20-ijo-41-03-1068" ref-type="bibr">20</xref>), loss of RUNX3 (<xref rid="b21-ijo-41-03-1068" ref-type="bibr">21</xref>) or E-cadherin (<xref rid="b14-ijo-41-03-1068" ref-type="bibr">14</xref>) expressions, and abnormal expression of E-cadherin (<xref rid="b22-ijo-41-03-1068" ref-type="bibr">22</xref>) in gastric tumors has been associated with gastric tumor metastasis and poor prognosis. More systemically investigated, array-based technologies were utilized to analyze and identify genes associated with gastric cancer metastasis. Several studies compared human primary to metastatic gastric cancer cell lines (<xref rid="b23-ijo-41-03-1068" ref-type="bibr">23</xref>,<xref rid="b24-ijo-41-03-1068" ref-type="bibr">24</xref>), human gastric cancer cell lines to a normal gastric cell line (<xref rid="b25-ijo-41-03-1068" ref-type="bibr">25</xref>), unpaired tumors to normal tissues (<xref rid="b26-ijo-41-03-1068" ref-type="bibr">26</xref>), paired patient gastric tumors to normal gastric tissues (<xref rid="b25-ijo-41-03-1068" ref-type="bibr">25</xref>,<xref rid="b27-ijo-41-03-1068" ref-type="bibr">27</xref>&#x02013;<xref rid="b31-ijo-41-03-1068" ref-type="bibr">31</xref>), and patient gastric tumors with different clinical stages (<xref rid="b32-ijo-41-03-1068" ref-type="bibr">32</xref>). However, differences in the genomic backgrounds of patients and the mix of the tumor and its surrounding cells may increase the complexities and difficulties for the identification of specific genes and for database analyses. Results of these array-based studies individually suggested that putative metastasis-associated genes are not entirely the same, nor are they similar, to a great extent, to each other. Further studies are, therefore, needed to identify biologically relevant molecular targets against which effective drugs for human gastric cancer may be discovered.</p>
<p>In the present study, we generated, from a single parental cell, a set of cell sublines exhibiting different metastatic abilities and used them to identify the genes whose expression levels are correlated to their metastatic abilities. We applied a genome-wide scale cDNA microarray analysis using a biological functional approach different from those previously reported. A human gastric cancer cell MKN45 originally derived from a poorly differentiated gastric adenocarcinoma of the stomach of a 62-year-old woman (<xref rid="b33-ijo-41-03-1068" ref-type="bibr">33</xref>,<xref rid="b34-ijo-41-03-1068" ref-type="bibr">34</xref>) was used as a model cell for its diffuse phenotype potentially prone to metastasis. A series of the human gastric cancer MKN45 cell subclones with varying invasion capabilities were established. A number of putative tumor metastasis-associated genes were identified using cDNA microarray analysis and verified with correlated mRNA levels and protein expressions.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Cell line and transfection</title>
<p>The human diffuse-type gastric cancer cell line MKN45 (JCRB0254) was purchased from the Japanese Collection of Research Bioresources/Human Science Research Resources Bank (Osaka, Japan). The cells were grown in RPMI-1640 medium (Gibco, product no. 31800105) with 10&#x00025; fetal bovine serum (FBS) (Invitrogen, Carlsbad, CA, USA) and 2 mM L-glutamine at 37&#x000B0;C, 5&#x00025; CO<sub>2</sub>. One day before the transfection, 8&#x000D7;10<sup>3</sup> MKN45 cells were seeded into 24-well culture plate and grown for 16&#x02013;24 h to 70&#x02013;90&#x00025; confluence for transfection. A mixture of enhanced green fluorescent protein (GFP) expression plasmid (pEGFP-C1, cat. no. 6084-1) encoding under the control of cytomegalovirus promoter, OPTI-MEM and Lipofectamine&#x02122; 2000 from Invitrogen at a ratio of 2 <italic>&#x003BC;</italic>g:2 <italic>&#x003BC;</italic>l:100 <italic>&#x003BC;</italic>l was added to the MKN45 cells. The cells were harvested following incubation for 48 h at 37&#x000B0;C followed by selection of the GFP-expressing clones by incubating with 1 mg/ml G418 (Invitrogen) and isolated with limiting dilution method to obtain stably GFP-expressing MKN45-GFP sublines.</p></sec>
<sec>
<title>Selection of highly invasive MKN45-GFP sublines</title>
<p>The MKN45-GFP cells of the isolated clone were selected for differential invasive characteristics using Transwell<sup>&#x000AE;</sup> plates from Corning (Acton, MA, USA) with a method modified from one previously described (<xref rid="b35-ijo-41-03-1068" ref-type="bibr">35</xref>) Briefly, Transwell of the 24-well inserts with semi-permeable polycarbonate membrane (8 <italic>&#x003BC;</italic>m in pore size, Corning, cat. no. CLS3422, Corning, NY, USA) were coated with 50 <italic>&#x003BC;</italic>l per well of reconstituted basement-membrane matrix Matrigel&#x02122; (1:1 diluted with growth medium) from BD Biosciences (San Jose, CA, USA). MKN45-GFP cells in RPMI-1640 containing 10&#x00025; FBS were seeded at 1&#x000D7;10<sup>5</sup> cells/200 <italic>&#x003BC;</italic>l/well onto the upper surface of the Matrigel-coated membrane. Following incubation for 72 h at 37&#x000B0;C, the inserts were removed. The cells that migrated and invaded through the membrane and attached to the surface of bottom well were harvested aseptically and subsequently amplified for further selection processes. The harvested invasive MKN45-GFP cell sublines after each selection round were named with a number correspondingly.</p></sec>
<sec>
<title>In vitro invasion assay</title>
<p>The basement membrane matrix coated Transwell system was used to measure the invasion ability of tumor cells as previously reported (<xref rid="b36-ijo-41-03-1068" ref-type="bibr">36</xref>). Transwell of 24-well plates with a porous polycarbonate membrane of 8-<italic>&#x003BC;</italic>m pore size from Corning (Corning, NY) were coated with 50 <italic>&#x003BC;</italic>l Matrigel diluted (1:20 &#x0003D; v:v) with RPMI-1640 culture medium. Cells (5&#x000D7;10<sup>5</sup>) suspended in 200 <italic>&#x003BC;</italic>l RPMI-1640 with 1&#x00025; FBS were seeded into upper chamber. The lower chamber was placed with 600 <italic>&#x003BC;</italic>l RPMI-1640 with 10&#x00025; FBS. Following incubation for 72 h at 37&#x000B0;C, the cells that invaded through the Matrigel-coated membrane to the lower surface of the membrane and the bottom surface of the culture well were fixed with 3.7&#x00025; formaldehyde in phosphate-buffered saline (PBS) for 1 h. The cells that remained on the upper surface of the membrane were scraped with a cotton bud completely and invaded cells attached on the opposite surface of the membrane in the lower chamber were stained with hematoxylin for 1 h. The invaded cancer cells were then visualized and counted from 5 different viewing areas under 100-fold magnification using a DM IRB inverted microscope from Leica Microsystems (Wetzlar, Germany).</p></sec>
<sec>
<title>Cell proliferation activity</title>
<p>Cancer cell proliferation activity was measured using a colorimetric 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium salt (MTS)/phenazine methosulfate (PMS) assay system as previously reported (<xref rid="b37-ijo-41-03-1068" ref-type="bibr">37</xref>). Cancer cells were seeded at 2,000, 4,000, and 6,000 cells/well in 96-well culture plates (Corning, Acton, MA) in triplicates. The cells were harvested and the cell numbers were measured every 24 h or 6 consecutive days by a colorimetric reaction using MTS/PMS mixture, 2 mg/ml MTS (Promega, Madison, WI, USA) and 0.38 mg/ml PMS (Sigma, St. Louis, MO, USA), in phenol red-free RPMI-1640 medium (Gibco, product no. 11835-030) followed by optical density measurements at 490 nm after a 90-min incubation at 37&#x000B0;C. The cell doubling time was obtained by nonlinear regression with the equation: N&#x0003D;A<sub>o</sub>&#x0002A;2^(T/T<sub>d</sub>) using SigmaPlot<sup>&#x000AE;</sup> from SPSS Inc. (Chicago, IL, USA), in which N is the total cell number at time T; A<sub>o</sub> is the initial cell number; and T<sub>d</sub> is the cell doubling time.</p></sec>
<sec>
<title>Orthotopic tumor growth and metastasis in nude mice</title>
<p>Adult male athymic Nu-Fox1<sup>nu</sup> nude mice purchased from BioLasco (Ilan, Taiwan) were housed in sterilized cages under 12-h light/dark cycles with water and food <italic>ad libitum</italic>. As previously described (<xref rid="b38-ijo-41-03-1068" ref-type="bibr">38</xref>), nude mice were intraperitoneally inoculated with 5&#x000D7;10<sup>6</sup> MKN45-GFP or MKN45-GFP-12 cells/mouse, suspended in 0.2 ml phenol-red free RPMI-1640 medium using 24G syringe needles at 35 nude mice per cancer cell type. After cancer cell inoculation, the occurrence of ascites was monitored weekly. The progression of the tumor growth was monitored by a fluorescence stereomicroscope MZ FLIII from Leica and animal body weights were recorded twice a week. GFP-expressing tumors were visualized with a D470/40&#x000D7; bandpass filter and a 495 DCLP dichroic filter. On the second week after the inoculation, 7 nude mice per cell type were euthanized weekly and the disseminated and metastasized tumors growing in the peritoneal cavities were visualized after laparotomy and the numbers of tumor nodules were counted using a fluorescent imaging system LT-9500 Illumatool TLS from Lightools Research (Encinitas, CA, USA). Metastasized tumors that had invaded into the livers of the nude mice were surgically removed and sectioned for microscopic examination following hematoxylin and eosin staining. The use of the animals was approved by The Institutional Animal Care and Use Committee of The National Health Research Institutes.</p></sec>
<sec>
<title>cDNA microarray assay</title>
<p>Total RNAs were isolated from the cancer cells using TRIzol<sup>&#x000AE;</sup> reagent (product no. 15596026, Invitrogen) according to the manufacturer&#x02019;s protocol. The purified RNA was quantified in optical density at 260 nm by an ND-1000 spectrophotometer from Nanodrop Technology (Wilmington, DE, USA) and qualified by Agilent 2100 Bioanalyzer. Total RNA of 0.5 <italic>&#x003BC;</italic>g was amplified by a low RNA input fluorescent linear amplification kit (cat. no. 5184&#x02013;3523) from Agilent Technologies (Santa Clara, CA, USA) using Cyanine 3 (Cy3)-labeled CTP (cat. no. NEL580001EA) or Cyanine 5 (Cy5)-labeled CTP (cat. no. NEL581001EA) from Perkin Elmer (Waltham, MA, USA) during the <italic>in vitro</italic> transcription. The cancer cell RNAs were labeled with Cy5 and Universal Human Reference RNAs (cat. no. 636538) from Clontech (Mountain View, CA, USA) were labeled with Cy3. The Cyanine-labeled RNAs (cRNAs) of 2 <italic>&#x003BC;</italic>g were fragmented to an average size of 50&#x02013;100 nucleotides by incubation with fragmentation buffer at 60&#x000B0;C for 30 min. The fragmented labeled cRNAs were then pooled and hybridized to Human 1A Oligo Microarray (V2) from Agilent Technologies at 60&#x000B0;C for 17 h. After they were washed, the arrays were dried using a nitrogen-filled air gun and scanned with Agilent dual DNA microarray scanner at 535 nm for Cy3 and 625 nm for Cy5, respectively. The scanned images were extracted by Feature Extraction 8.1 from Agilent Technologies and analyzed to quantify signal and background intensity and to substantially normalize the data by rank-consistency-filtering LOWESS method. The microarray data, including 4 analyzed samples (MKN45-GFP, MKN45-GFP-4, MKN45-GFP-10, and MKN45-GFP-12), have been deposited to the Gene Expression Omnibus (GEO; <ext-link xlink:href="http://www.ncbi.nlm.nih.gov/geo/" ext-link-type="uri">http://www.ncbi.nlm.nih.gov/geo/</ext-link>; accession number GSE33570).</p></sec>
<sec>
<title>RT-PCR analysis</title>
<p>Samples of the total RNA (1&#x02013;5 <italic>&#x003BC;</italic>g) from the cancer cells were reverse-transcribed in a total volume of 20 <italic>&#x003BC;</italic>l by the SuperScript III First-Strand Synthesis System (cat. no. 18080&#x02013;400) from Invitrogen. The reverse transcription products (1 <italic>&#x003BC;</italic>g) were used directly for PCR amplification. PCR amplification was performed with the PCR Reagent System (cat. no. 10198-018) from Invitrogen according to the manufacturer&#x02019;s instructions in a PC818 Program Temp. Control System from ASTEC (Fukuoka, Japan). Oligonucleotide primers used for the amplification of cDNAs for oxytocin receptor <italic>(OTR)</italic> were 5&#x02032;-CCTTCATCGTGTGCTGGACG-3&#x02032; (forward) and 5&#x02032;-CTAGGAGCAGAGCACTTATG-3&#x02032; (reverse); leucine-rich repeat-containing G protein-coupled receptor 4/G protein-coupled receptor 48 <italic>(LGR4/GPR48)</italic> were 5&#x02032;-GGGAAGCT GGATGATTCGTCTTACT-3&#x02032; (forward) and 5&#x02032;-GAAAAGGG GAAAACAGCCTGCT-3&#x02032; (reverse); trefoil factor 3 <italic>(TFF3)</italic> were 5&#x02032;-AGAGCCTTCCCCAAGCAAACA-3&#x02032; (forward) and 5&#x02032;-GCAGGGGCTTGAAACACCAA-3&#x02032; (reverse); brain expressed X-linked 2 <italic>(BEX2)</italic> were 5&#x02032;-CCTTGGCCCTACCT TTGAATGT-3&#x02032; (forward) and 5&#x02032;-TGCTGACTGCCCGCA AACTA-3&#x02032; (reverse); sarcoglycan-&#x003B5; <italic>(SGCE)</italic> were 5&#x02032;-TTCTCC AAGGTACACTCCGATCG-3&#x02032; (forward) and 5&#x02032;-GGCCGAT GTGATGTTTATGGC-3&#x02032; (reverse); insulin-like growth factor binding protein 3 <italic>(IGFBP3)</italic> were 5&#x02032;-ACGAGTCTCAGAGC ACAGATACCC-3&#x02032; (forward) and 5&#x02032;-TATCCACACACCAG CAGAAGCC-3&#x02032; (reverse); and internal control glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were 5&#x02032;-TCCACCACC CTGTTGCTGTA-3&#x02032; (forward) and 5&#x02032;-ACCACAGTCCATGC CATCAC-3&#x02032; (reverse), respectively. The reaction mixtures were subjected to PCR cycles of denaturation at 94&#x000B0;C for 1 min, annealing at 54&#x02013;59&#x000B0;C for 45 sec, and extension at 72&#x000B0;C for 1.5 min. RT-PCR-amplified cDNAs were visualized on 1.2&#x00025; agarose gels stained with ethidium bromide and the images were captured using UVP GDS-8000 BioImaging System (Ultra Violet Products, Cambridge, UK) for further analysis using Image Pro Plus 6.0 software. The integrated optical density (IOD) &#x0003D; area &#x000D7; average density of each gene expression band was measured and normalized to that of the corresponding GAPDH expression. The RNA expression levels in the cancer cells relative to those in MKN45-GFP cells were calculated.</p></sec>
<sec>
<title>Western blot analysis</title>
<p>The cancer cells were lysed by mixing with Radio-Immunoprecipitation Assay (cat. no. R0278) buffer containing Proteinase Inhibitor Cocktail (cat. no. P8340) from Sigma. The protein amounts in the cell lysates were quantified by bicinchoninic acid protein assay kit (Pierce, Rockford, IL, USA) and mixed with electrophoresis loading buffer (50 mM Tris-HCl, 2&#x00025; sodium dodecyl sulfate (SDS), 0.1&#x00025; bromophenol blue, 10&#x00025; glycerol, and 1 mM dithiothreitol). The prepared samples were electrophoresed on 12&#x00025; SDS-polyacrylamide gel under reducing conditions. After electrophoresis, the proteins were transferred electrophoretically to the PVDF membrane (Immobilon&#x02122;-P) from Millipore. The membrane was blocked with 5&#x00025; skim milk for 30 min at 37&#x000B0;C. After blocking, the membrane was incubated overnight at 4&#x000B0;C with 1:200 diluted rabbit polyclonal antibody H-300 (cat. no. sc-28215) against human fanconi anemia complementation group A (FANCA) and C-19 (cat. no. sc-540) against metallopanstimulin 1/TTK protein kinase (MPS1/TTK) from Santa Cruz (Santa Cruz, CA, USA); and 1:500 diluted mouse monoclonal antibodies clone 294216 (cat. no. MAB2050) against human melanoma-inhibitory activity (MIA) and clone 84728 (cat. no. MAB305) against IGFBP3 from R&#x00026;D Systems (Minneapolis, MN, USA) in PBS-T buffer. The membrane was washed 3 times with PBS with 0.5&#x00025; Triton X-100 buffer (PBS-T) for 5 min each, and then incubated with 1:5,000 diluted horse-radish peroxidase-conjugated bovine anti-rabbit IgGs (cat. no. sc-2370) from Santa Cruz or peroxidase-conjugated AffiniPure donkey anti-mouse IgGs (cat. no. 715035150) from Jackson ImmunoResearch (West Grove, PA, USA) in PBS-T buffer for 1 h at room temperature. After washing with PBS-T, the membrane was incubated with the Western Lightning&#x02122; ECL detecting reagent from Perkin Elmer (Waltham, MA, USA) and exposed to X-ray film (cat. no. 50880) from Fuji Medical (Tokyo, Japan). The images were captured by scanning exposed X-ray film using an HP Scanjet 4850 scanner (Hewlett-Packard, Palo Alto, CA, USA) and further analyzed by ImagePro Plus 6.0 software. The IOD &#x0003D; area &#x000D7; averaged density of each expressed protein band was measured and normalized to that of the corresponding GAPDH levels. The expressed protein levels in the cancer cells relative to those in MKN45-GFP cells were calculated.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Data were analyzed for significant differences using ANOVA followed by multiple comparisons with Student-Newman-Keuls test. A significant difference in the incidences of ascites and liver metastasis among the groups of nude mice was examined by using Fisher&#x02019;s exact test. A difference in the averaged number of tumor nodules per mouse between the two mouse groups of cancer cells inoculated was detected using Wilcoxon signed rank test. All statistical analyses were conducted using SPSS<sup>&#x000AE;</sup> Statistics software from SPSS Inc. (Chicago, IL, USA). A significant difference between groups was set at p&#x0003C;0.05.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Stable GFP-expressing MKN45 cells</title>
<p>Following transfection with GFP expression plasmids using lipofectamine 2000, human gastric cancer MKN45 cell clones constitutively expressing GFP were collected. Stable GFP-expressing MKN45 cell clones were selected by G418 in culture medium and a stable GFP-expressing cell clone was isolated by the limiting dilution process. A stable MKN45 cell clone with constitutive expression of the enhanced GFP, MKN45-GFP, was established (<xref rid="f1-ijo-41-03-1068" ref-type="fig">Fig. 1</xref>). There was no difference in morphology between the parental MKN45 and MKN45-GFP cells (<xref rid="f1-ijo-41-03-1068" ref-type="fig">Fig. 1A and B</xref>).</p></sec>
<sec>
<title>Establishment of MKN45-GFP cell sublines</title>
<p>The MKN45-GFP cells collected after the 4th, 10th, and 12th round of 72 h-selection periods using Transwell system with Matrigel-coated porous membrane were designated as MKN45-GFP-4, MKN45-GFP-10, and MKN45-GFP-12, respectively. The cell morphologies among MKN45-GFP and MKN45-GFP cell sublines were not different from each other as shown in <xref rid="f1-ijo-41-03-1068" ref-type="fig">Fig. 1B</xref> (MKN45-GFP) and 1D (MKN45-GFP-12). Furthermore, the cell proliferation doubling times of the parental MKN45 and the established MKN45-GFP cell sublines ranged from 1.4 to 1.7 days, as shown in <xref rid="t1-ijo-41-03-1068" ref-type="table">Table I</xref>, and were not significantly different from each other (p&#x0003D;0.70).</p></sec>
<sec>
<title>MKN45-GFP cell sublines with different in vitro invasion abilities</title>
<p>The three established MKN45-GFP sublines exhibited different invasive abilities in an increasing tendency, sequentially as MKN45-GFP, MKN45-GFP-4, MKN45-GFP-10 and MKN45-GFP-12. <xref rid="f2-ijo-41-03-1068" ref-type="fig">Fig. 2A&#x02013;E</xref> shows representative images of hematoxylin-stained invaded cells on the surface of the porous membrane of the lower chamber of Transwell cultures. There was no difference in invasion ability between the parental MKN45 and MKN45-GFP cells, whereas significantly more MKN45-GFP-10 and MKN45-GFP-12 cells invaded through the membrane onto the other side of the membrane compared to MKN45 and MKN45-GFP cells. In comparison to that of MKN45-GFP, the invasion ability was significantly increased by 2-, 6-, and 6-fold for MKN45-GFP-4, MKN45-GFP-10 and MKN45-GFP-12 cells, respectively, as shown in <xref rid="f2-ijo-41-03-1068" ref-type="fig">Fig. 2F</xref>.</p></sec>
<sec>
<title>Incidences of ascites caused by MKN45- GFP and MKN45-GFP-12 cells in nude mice</title>
<p>The incidences of ascites in the MKN45-GFP and MKN45-GFP-12 cells inoculated nude mice were monitored as an index of tumorigenic aggressiveness and tumor burden caused by the cells. As the data summarized in <xref rid="t2-ijo-41-03-1068" ref-type="table">Table II</xref> show, MKN45-GFP-12 cells caused a significant on-set of ascites on week 4 after the inoculation, which is one week earlier than that caused by MKN45-GFP cells. The higher incidence of ascites at week 4 caused by MKN45-GFP-12 indicated a higher tumorigenic aggressiveness of MKN45-GFP-12 than MKN45-GFP cells.</p></sec>
<sec>
<title>Orthotopic tumorigenesis and liver metastasis of MKN45-GFP and MKN45-GFP-12 cells in nude mice</title>
<p>Adult male nude mice intraperitoneally inoculated with MNK45-GFP or MKN45-GFP-12 cells were observed for intraperitoneal tumorigenesis and the numbers of tumor nodules were counted by visualizing the GFP-expressing tumors using a fluorescence imaging system. The orthotopic intraperitoneal inoculation of gastric cancer cells of diffuse type in mice is to mimic the dissemination and metastasis conditions of the cancer cells in the peritoneum of gastric cancer patients. After the inoculation, MKN45-GFP-12 tumor cells grew inside the peritoneal cavity and metastasized to and grew in the mouse liver. Representative images of the intraperitoneally disseminated growing MKN45-GFP-12 tumors in a nude mouse after laparotomy in bright and fluorescent fields are shown in <xref rid="f3-ijo-41-03-1068" ref-type="fig">Fig. 3A and B</xref>, respectively. Growing MKN45-GFP-12 tumors that invaded into the mouse liver are shown in <xref rid="f3-ijo-41-03-1068" ref-type="fig">Fig. 3C</xref> (bright field) and D (fluorescent field). MKN45-GFP cells also grew into tumors in the mouse peritoneum as shown in <xref rid="f3-ijo-41-03-1068" ref-type="fig">Fig. 3E</xref> (bright field) and F (fluorescent field). On Day 14 after the cancer cell inoculation, we observed that MKN45-GFP cells caused 14&#x02013;25 (median 17; mean 18; n&#x0003D;7) intraperitoneally orthotopic growing tumors, whereas MKN45-GFP-12 cells caused 10&#x02013;40 (median 25; mean 24; n&#x0003D;7) intraperitoneally orthotopic growing tumors in the laparotomized nude mice. The number of intraperitoneal tumor nodules caused by the orthotopic inoculation was compared and MKN45-GFP-12 cells were found to cause more, though not statistically significant (p&#x0003D;0.128), intraperitoneally disseminated growing tumors in the nude mice. Furthermore, both intraperitoneally inoculated MKN45-GFP and MKN45-GFP-12 cells caused metastatic tumor growth in the nude mouse livers during the observation period (<xref rid="f3-ijo-41-03-1068" ref-type="fig">Fig. 3G&#x02013;I</xref>). MKN45-GFP-12 cells metastasized to the mouse liver and established metastatic growth in more nude mouse livers (p&#x0003D;0.042) than MKN45-GFP cells as detailed in the liver metastasis incidence summary in <xref rid="t3-ijo-41-03-1068" ref-type="table">Table III</xref>. The results showed that MKN45-GFP-12 cells exhibited a higher metastasizing potential <italic>in vivo</italic> than MKN45-GFP cells.</p></sec>
<sec>
<title>cDNA microarray analyses of genes in MKN45-GFP cell sublines</title>
<p>Total RNAs from the established MKN45-GFP and the selected MKN45-GFP-4, MKN45-GFP-10, and MKN45-GFP-12 cells were cDNA microarray analyzed. The gene expression levels and patterns of MKN45-GFP-4, MKN45-GFP-10, and MKN45-GFP-12 cells were compared in relation to those of the MKN45-GFP cells (GEO accession number GSE33570). We used the PvalueLogRatio method to sieve out significant spots of whole microarray analysis. PvalueLogRatio gives the statistical significance on the log ratio for each spot between experimental and control signals. In order to focus on the desired data, we setup the criteria for removal steps and filtering procedure to identify positive or negative expression-correlated 514 genes (184 ascending and 330 descending genes) of the examined genes by hierarchical clustering calculation. We found that only &#x0003C;3&#x00025; of all genes may be involved in human gastric cancer invasion and metastasis. <xref rid="f4-ijo-41-03-1068" ref-type="fig">Fig. 4</xref> displays a hierarchical clustering analysis image with 514 genes (accounting for 2.75&#x00025; of the total number of 18,716 genes examined) from significant expression levels by using the selection criteria described above, which share a similar tendency containing 184 ascending (positively correlated with invasiveness) and 330 descending genes (negatively correlated with invasiveness). The expression levels were pseudo-color encoded showing the descending and ascending expression levels of genes in the MKN45-GFP cell sublines. Based on the hierarchical clustering analyses, the expression patterns of these 514 genes were subjected to regulating tendency selection processes.</p>
<p>The 514 genes identified in the hierarchical clustering analysis were further categorized into groups such as angiogenesis-related genes, cell cycle regulators, cytoskeleton and motility molecules, protease and adhesion proteins, and signal transduction molecules, based on known molecular and biological functions associated with tumor progression. A total of 133 genes were found to be associated with these biological functions and 30 of them are shown in <xref rid="f5-ijo-41-03-1068" ref-type="fig">Fig. 5</xref> and <xref rid="t4-ijo-41-03-1068" ref-type="table">Table IV</xref>. The 5 selective groups were (A) angiogenesis-related genes such as angiogenic inducer <italic>Cyr61</italic> and vascular endothelial growth factor; (B) cell cycle regulators such as <italic>MPS1/TTK</italic> and cyclin B2; (C) cytoskeleton and motility molecules such as <italic>OTR</italic> and catenin &#x003B1;-like 1; (D) protease and adhesion molecules such as laminin &#x003B3; 2 and collagen type XII &#x003B1; 1, and (E) signal transduction molecules such as <italic>LGR4/GPR48 and</italic> heparin-binding growth factor binding protein. Genes associated with multiple biological functions were included in the corresponding categorized functional groups accordingly. A number of genes that have not been previously reported to correlate with cancer progression or tumor metastasis were also identified and are listed in <xref rid="t5-ijo-41-03-1068" ref-type="table">Table V</xref>. The levels of these genes differed more than two-fold between highly metastatic and parental cells, indicating that these genes may play significant roles in gastric cancer metastasis.</p></sec>
<sec>
<title>mRNA transcript levels in MKN45-GFP cell sublines</title>
<p>Several putative tumor metastasis-associated genes were further examined by using RT-PCR analysis. Four genes, <italic>TFF3</italic>, <italic>BEX2</italic>, <italic>SGCE</italic> and <italic>IGFBP3</italic>, positively correlated with the invasion ability, and two genes, <italic>OTR</italic> and <italic>LGR4/GPR48</italic>, negatively correlated with the invasion ability of the gastric cancer MKN45-GFP cell sublines, were RT-PCR analyzed. The housekeeping gene GAPDH was selected as the internal control. Results showed that all four examined genes <italic>TFF3</italic>, <italic>BEX2</italic>, <italic>SGCE</italic>, and <italic>IGFBP3</italic> exhibited an increasing order of the mRNA transcript levels from MKN45-GFP, MKN45-GFP-4, MKN45-GFP-10, to MKN45-GFP-12 cells. On the other hand, mRNA transcript levels of the two genes <italic>OTR</italic> and <italic>LGR4/GPR48</italic> were in a decreasing order in these MKN45-GFP cell sublines in relation to their invasion ability (<xref rid="f6-ijo-41-03-1068" ref-type="fig">Fig. 6</xref>). Results of the RT-PCR analyses on these selective genes were consistent with those from the cDNA microarray analyses.</p></sec>
<sec>
<title>Protein expression levels in MKN45-GFP cell sublines</title>
<p>The expression levels of several proteins of the microarray-identified genes were also examined using western blot analysis. FANCA, MPS1/TTK, MIA, and IGFBP3 protein levels in the MKN45-GFP cell sublines were analyzed in triplicates. FANCA and MPS1/TTK protein levels were downregulated with the increase of the invasive potentials of the MKN45-GFP cell sublines. By contrast, the protein levels of (precursor and/or mature) MIA and IGFBP3 were upregulated with the increase of the invasive potentials of the MKN45-GFP cell sublines (<xref rid="f7-ijo-41-03-1068" ref-type="fig">Fig. 7</xref>). Both the mRNA transcript and protein expression levels of the <italic>IGFBP3</italic> gene were positively correlated with the invasive abilities of the MKN45-GFP cell sublines. The results demonstrated that the expression levels of these proteins examined were consistent with those from the cDNA microarray analyses.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>It is well known that differential expression of multiple genes and dynamic interactions of a number of cellular proteins are involved in the multiple progressive steps of cancer metastasis including gastric cancer. cDNA microarray has been applied to explore the expression profiles of a massive number of genes between testing cancer samples. In the present study, we used cDNA microarray to identify gastric cancer invasion/metastasis-associated genes on a genome-wide scale in human gastric cancer sublines that have demonstrated different meta-static abilities. As the poorly differentiated diffuse type gastric cancer remains an unmet medical need, a gastric cancer cell line of diffuse type MKN45, originally isolated from a poorly differentiated adenocarcinoma of a patient&#x02019;s stomach (<xref rid="b33-ijo-41-03-1068" ref-type="bibr">33</xref>,<xref rid="b34-ijo-41-03-1068" ref-type="bibr">34</xref>), was used as the model cell. By taking advantage of the fluorescence-emitting ability of GFP, we established an MKN45 cell line constitutively expressing GFP which can be visualized, and applied it to select the MKN45-GFP sublines with differential invasion abilities by using the Transwell system. Genes in relation to the invasiveness of these sublines were identified using cDNA microarray analysis and verified by RT-PCR and western blot analyses. Furthermore, the invasiveness of the highly invasive subline MKN45-GFP-12 was <italic>in vivo</italic> demonstrated by the incidence of ascites and organ invasive abilities in nude mice. Meanwhile, we observed that a number of the identified genes are also related to angiogenesis, cell cycle, cytoskeleton and motility, protease and cell adhesion, and signal transduction, which are cellular events known to be associated with invasion and tumor metastasis (<xref rid="b39-ijo-41-03-1068" ref-type="bibr">39</xref>). Accordingly, a number of novel genes without previously known cancer-related biological activities were also identified in relation to gastric tumor metastasis in the present study.</p>
<p>Systemically analyzed using genomic microarray technologies and biological activity assays, genes putatively associated with tumor cell invasion and metastasis have been identified in various human cancer cells, including gastric cancer cells. Many studies utilized microarray technologies to discover genes specifically associated with tumor invasion and metastasis. Hippo <italic>et al</italic> observed a number of differentially expressed genes by using a set of human gastric scirrhous cancer cells prone to peritoneal and lymph node metastasis in nude mice (<xref rid="b23-ijo-41-03-1068" ref-type="bibr">23</xref>). Although the array-based oligonucleotide hybridization method is a powerful tool for identifying potential genes associated with tumor metastasis, the genes reported in these above-mentioned studies are different from each other. The intrinsic heterogeneity of the cancer cell populations in patient tumor tissues likely mixed with normal stromal and/or vascular cells may contribute to these observed discrepancies in the gene expression profiles (<xref rid="b40-ijo-41-03-1068" ref-type="bibr">40</xref>). Herein we used a human gastric cancer cell line of diffuse type <italic>in vitro</italic> to normalize and minimize the potentially existing heterogeneity in order to identify human gastric tumor metastasis-associated genes.</p>
<p>Chronic infection of <italic>Helicobacter P.</italic> has been proven to be an important etiologic factor of gastric cancer (<xref rid="b41-ijo-41-03-1068" ref-type="bibr">41</xref>) and accounts for 18&#x00025; of all cancers caused by infections (<xref rid="b42-ijo-41-03-1068" ref-type="bibr">42</xref>). Helicobacter infection has been found to be associated with &#x003B2;-catenin, MMP-1, ERK (p38), EGFR, AP-1, Shh, CDX2, E-cadherin (CDH1), p16, APC, MLH1, COX2, IL-1, IL-6, IL-10, CTLR4, BCL-2, FOXP1 and p53 (<xref rid="b43-ijo-41-03-1068" ref-type="bibr">43</xref>), and IL-8, ras family and Ras p21 are involved in the TNF&#x003B1;/NF-&#x003BA;B/I&#x003BA;B-mediated gastric tumorigenesis (<xref rid="b44-ijo-41-03-1068" ref-type="bibr">44</xref>). Helicobacter colonization is usually asymptomatic and gastric tumorigenesis occurs only in a subset of individuals depending on the host response and genetic variation of the bacteria. The infection alone could not attribute entirely to the gastric tumorigenesis as the clinically observed human gastric cancers are genetically and histologically diversifying (<xref rid="b43-ijo-41-03-1068" ref-type="bibr">43</xref>,<xref rid="b45-ijo-41-03-1068" ref-type="bibr">45</xref>). Although several studies reported that Helicobacter infection increases tumor invasiveness and metastasis via multiple molecular pathways (<xref rid="b46-ijo-41-03-1068" ref-type="bibr">46</xref>&#x02013;<xref rid="b50-ijo-41-03-1068" ref-type="bibr">50</xref>), in the present study we did not find significant changes in the expressions of these mentioned genes and/or the genes in the TNF&#x003B1;/NF-&#x003BA;B/I&#x003BA;B-mediated signaling pathways (<xref rid="b43-ijo-41-03-1068" ref-type="bibr">43</xref>,<xref rid="b44-ijo-41-03-1068" ref-type="bibr">44</xref>). Therefore, the results suggest that the genes identified in the present study are not Helicobacter infection-related and are thus directly correlated to the metastatic abilities of human gastric cancer tumors.</p>
<p>GFP has been utilized as a reporter molecule and has been widely applied <italic>in vitro</italic> and <italic>in vivo</italic> to visualize the developmental processes of tumors, including primary and metastatic tumor growths, tumor cell metastases, tumor angiogenesis, and interactions between tumor and the host microenvironment (<xref rid="b38-ijo-41-03-1068" ref-type="bibr">38</xref>,<xref rid="b51-ijo-41-03-1068" ref-type="bibr">51</xref>&#x02013;<xref rid="b54-ijo-41-03-1068" ref-type="bibr">54</xref>). Chu <italic>et al</italic> established a set of human lung cancer cells with differential invasive abilities (<xref rid="b35-ijo-41-03-1068" ref-type="bibr">35</xref>), Chen <italic>et al</italic> identified a number of genes associated with human lung cancer metastasis (<xref rid="b55-ijo-41-03-1068" ref-type="bibr">55</xref>), and Chen <italic>et al</italic> demonstrated a significant clinical association for some of these identified genes (<xref rid="b56-ijo-41-03-1068" ref-type="bibr">56</xref>). Accordingly, we took advantage of the fluorescence-emitting GFP and established the human GFP-expressing MKN45 sublines with differential invasive abilities in the present study. The morphology and proliferation rates were not different from each other among these established MKN45-GFP sublines including the parental MKN45 cells. One of the important advantages is that we are able to monitor the tumor growth and peritoneal dissemination in individual nude mice without laparotomy. The appropriate timing for animal euthanization can then easily be determined and therefore the number of animals used in a study can be reduced. The identification of the genes previously known with biological activities related to tumor progression and metastasis suggests the validity of the approach utilized in this study. The observations indicate that the genes differentially expressed among these sublines are likely to be associated with their invasive and, thus, metastatic abilities.</p>
<p>In the present study, 184 and 330 genes were found positively and negatively expressed, respectively, with regard to the increasing order of the invasive abilities of these model cell sublines. The identified genes are likely to be associated with cancer progression and/or tumor metastasis. They are found to be associated with the biological activities pertaining to tumor metastasis such as angiogenesis-, cell cycle regulation-, cytoskeleton and motility-, protease and cell adhesion-, and signal transduction-related genes as shown in <xref rid="f5-ijo-41-03-1068" ref-type="fig">Fig. 5</xref> and <xref rid="t4-ijo-41-03-1068" ref-type="table">Table IV</xref>. Angiogenesis is one of the essential steps of tumor growth and metastasis (<xref rid="b39-ijo-41-03-1068" ref-type="bibr">39</xref>). Proteins of the trefoil factor family genes may induce tumor vascularity and be associated with tumor metastatic phenotype and recurrence in human gastric cancer (<xref rid="b57-ijo-41-03-1068" ref-type="bibr">57</xref>). Trefoil factor 3 (TFF3) is connected with multiple oncogenic pathways such as COX2 and EGFR and participates in the blood vessel formation during tumor progression (<xref rid="b58-ijo-41-03-1068" ref-type="bibr">58</xref>). IGFBP3 is a protein of multi-functions. IGFBP3 induces IGF-independent anti-angiogenic effects and exerts tumor suppressive effects against prostate cancer (<xref rid="b59-ijo-41-03-1068" ref-type="bibr">59</xref>) and non-small cell lung cancer (<xref rid="b60-ijo-41-03-1068" ref-type="bibr">60</xref>), whereas its overexpression is associated with the increasing metastatic ability of well-differentiated pancreatic endocrine tumors (<xref rid="b61-ijo-41-03-1068" ref-type="bibr">61</xref>). We report here that IGFBP3 expression is positively correlated with the invasive ability of human gastric cancer cells suggesting that IGFBP3 is involved in gastric cancer metastasis. In agreement with a previous study (<xref rid="b62-ijo-41-03-1068" ref-type="bibr">62</xref>), we found that vascular endothelial growth factor (VEGF) genes were positively regulated in accordance with the development of tumor invasiveness. Overexpression of B-cell translocation gene 1 (BTG1) increases tube formation and migration of the endothelial cells (<xref rid="b63-ijo-41-03-1068" ref-type="bibr">63</xref>). Accordingly, we observed that BTG1 is upregulated during the development of human gastric cancer cell invasiveness. Further studies are required to explore the pathological roles of these angiogenesis-related genes during gastric tumor progression.</p>
<p>During cell cycle progression, MPS1/TTK is a protein kinase and is involved in the regulation of centrosomal control of cytokinesis in the mitotic checkpoint process (<xref rid="b64-ijo-41-03-1068" ref-type="bibr">64</xref>). MPS1/TTK kinase affects the chromosomal stabilities in the M phase of the cell cycles in zebra fish and mammalian cells (<xref rid="b65-ijo-41-03-1068" ref-type="bibr">65</xref>,<xref rid="b66-ijo-41-03-1068" ref-type="bibr">66</xref>). Chromosomal instability may induce changes in the cellular functions and thus increase the invasive and metastatic abilities of tumor cells (<xref rid="b67-ijo-41-03-1068" ref-type="bibr">67</xref>). In accordance with the implications of these observations, we found that MPS1/TTK expression was downregulated in the invasive cell sublines. BEX2 participates in G1 phase regulation during cell cycle progression and its over-expression protects breast cancer cells against mitochondrial apoptosis (<xref rid="b68-ijo-41-03-1068" ref-type="bibr">68</xref>). We herein observed that upregulation of BEX2 was associated with the development of the invasion and metastasic abilities of gastric tumor cells.</p>
<p>Cellular cytoskeleton and motility also play important roles in tumor cell metastasis. Connective tissue growth factor (CTGF), whose transcript levels were moderately increased, as shown in the present study, modulates the motility of human breast cancer cells through activation of the ERK1/2 signaling pathway (<xref rid="b69-ijo-41-03-1068" ref-type="bibr">69</xref>). Catenin-&#x003B1; is anti-metastatic in human squamous carcinoma and breast cancer by forming a complex with E-cadherin and thus enhancing the cell-cell adhesion (<xref rid="b70-ijo-41-03-1068" ref-type="bibr">70</xref>,<xref rid="b71-ijo-41-03-1068" ref-type="bibr">71</xref>). In agreement with these observations, catenin-&#x003B1; was down-regulated in the invasive cell sublines in this study. Oxytocin receptor was found in the smooth muscles of the gastric/intestinal system and mediates gastric motility (<xref rid="b72-ijo-41-03-1068" ref-type="bibr">72</xref>). A previous study showed that oxytocin inhibited ovarian carcinoma cell metastasis <italic>in vitro</italic> and <italic>in vivo</italic> (<xref rid="b73-ijo-41-03-1068" ref-type="bibr">73</xref>). Furthermore, we observed that oxytocin receptors are downregulated in the highly metastatic gastric cancer cell sublines. The results suggest that the oxytocin/oxytocin receptor system may play a significant role in gastric cancer metastasis.</p>
<p>Proteases and adhesion proteins play key roles in gastric tumor metastasis. The ability of tumor cells to detach from a primary tumor tissue and degradation of the extracellular matrix and basement membrane structures are associated with the progress of tumor cell invasion and metastasis. TFF3 modulates E-cadherin/catenin-mediated cell-cell contact and increases cell motility in cancer progression (<xref rid="b74-ijo-41-03-1068" ref-type="bibr">74</xref>). We found that TFF3 was upregulated in the gastric cancer cells with high invasive ability. Involvement of SGCE in adhesion activity has been reported to inhibit the invasion of colorectal tumors (<xref rid="b75-ijo-41-03-1068" ref-type="bibr">75</xref>). Contrary to that observed in colorectal tumors, SGCE expression was positively correlated with the gastric cancer cell invasion ability shown in the present study. Laminin family proteins involved in the cell-laminin interactions are related to tumor angiogenesis, invasion and metastasis (<xref rid="b76-ijo-41-03-1068" ref-type="bibr">76</xref>). We found that laminin-&#x003B3; was downregulated in the gastric cancer cells of high invasiveness. Collagen XII is an adhesion protein reported to have critical roles in the interactions between cancer cells and bone marrow, in cell adhesion, and in cell motility and is thus involved in the bone metastasis of prostate cancer (<xref rid="b77-ijo-41-03-1068" ref-type="bibr">77</xref>). In gastric cancer cells, we observed that collagen XII expression is inversely correlated with cancer cell invasion ability.</p>
<p>Cellular and subcellular signaling pathways regulate multiple and complex cellular activities, including tumor cell proliferation, invasion and metastasis. IGFBP3 plays significant roles in tumor cell proliferation, invasion and metastasis in different human cancer diseases. Compared to the primary melanoma cells, IGFBP3 was overexpressed in the metastatic melanoma cells and may serve as a biomarker in the early diagnosis of melanoma (<xref rid="b78-ijo-41-03-1068" ref-type="bibr">78</xref>). On the other hand, Torng <italic>et al</italic> reported that IGFBP3 plays a major role as an invasion-metastasis suppressor via an insulin growth factor-independent pathway in human ovarian endometrioid carcinomas (<xref rid="b79-ijo-41-03-1068" ref-type="bibr">79</xref>). These previous observations suggested possible dual biological roles of the IGFBP3 signal pathways in various cancers (<xref rid="b59-ijo-41-03-1068" ref-type="bibr">59</xref>&#x02013;<xref rid="b61-ijo-41-03-1068" ref-type="bibr">61</xref>,<xref rid="b78-ijo-41-03-1068" ref-type="bibr">78</xref>,<xref rid="b79-ijo-41-03-1068" ref-type="bibr">79</xref>). Nonetheless, our results showed a positive correlation between IGFBP3 protein expression and metastasis potential of the gastric cancer cells. Contrary to that reported in colorectal cancer HCT116 cells (<xref rid="b80-ijo-41-03-1068" ref-type="bibr">80</xref>), we found in gastric cancer MKN45 cells that LGR4 expression was inversely correlated with the cell invasion ability.</p>
<p>A number of the genes identified in our studies have been verified for their transcriptional or translational activities in the mRNA or protein levels by semi-quantified RT-PCR and western blotting, respectively, such as TFF3, IGFBP3, BEX2, OTR, SGCE, LGR4, FANCA, MIA, and MPS1/TTK. FANCA has been reported to participate in the BRCA signaling pathway and is involved in the chromosome stability of cancer cells (<xref rid="b81-ijo-41-03-1068" ref-type="bibr">81</xref>). MIA proteins binding to integrins promote detachment of melanoma cells from extracellular matrix structures and increase the migration ability of the cells, which could be inhibited by treatments with chemicals (<xref rid="b82-ijo-41-03-1068" ref-type="bibr">82</xref>). MIA may play an important role in gastric tumor cell invasion and metastasis. The mRNA or protein expression profiles verified in the present study are in agreement with those previously observed.</p>
<p>In addition, we have also identified a number of novel genes, listed in <xref rid="t5-ijo-41-03-1068" ref-type="table">Table V</xref>, using the same evaluation processes. These novel genes have not been previously demonstrated with any biological activity nor are they known with any cancer progression-related or tumor metastasis-associated activities. Similarly, these novel genes are likely to be involved in important biological processes in the development and progression of human gastric tumor invasion and metastasis. Their possible cellular/subcellular mechanisms involving tumor progression or metastasis are to be further explored in the future. By using gene-silencing approaches such as siRNA treatments to the MKN45-GFP-12 cells, one may further investigate the functional roles of the pro-metastasis genes in the tumor metastatic process and their underlying molecular mechanisms. For the genes against metastasis, one can restore the downregulated gene functions by gene transfection in MKN45-GFP-12 cells to demonstrate a decrease in their metastatic abilities. Furthermore, one can look into the gene expression levels in the clinical patient specimens and search for clinical relevance in terms of tumor progression as well as patient survival.</p>
<p>Furthermore, we established a highly aggressive MKN45-GFP-12 cell line and adopted an orthotopic model in which human gastric cancer cells of diffuse type were intraperitoneally inoculated in nude mice to mimic the pathological condition of peritoneal metastasis in patients. The malignancies of MKN45-GFP and MKN45-GFP-12 cells were compared using the orthotopic model. Compared to MKN45-GFP cells, MKN45-GFP-12 cells tend to invade internal organs, such as the liver, and to cause ascites at a shorter onset time, indicating a higher malignant property of the MKN45-GFP-12 cells. More tumor nodules were growing in the abdominal cavity of MKN45-GFP-12-inoculated nude mice at Day 14 (data not show). By using an <italic>in vivo</italic> selection process, we previously established a human gastric cancer cell line MKN45-GFP-ip4 (<xref rid="b38-ijo-41-03-1068" ref-type="bibr">38</xref>). Whether the two malignant cell lines MKN45-GFP12 and MKN45-GFP-ip4 established via the <italic>in vitro</italic> and <italic>in vivo</italic> selections, respectively, share a similar gene expression profile requires further investigation.</p>
<p>In this study, we established several human diffuse type gastric cancer cell sublines with different invasion abilities and identified a number of putative gastric tumor metastasis-associated genes, including novel genes without any known biological activity (GEO accession number GSE33570). These genes and protein products are to be further investigated for their roles in the molecular and cellular actions related to tumor metastasis. The molecular profiles of these identified genes, gene transcripts, and/or proteins in the patient specimens are likely to be useful for diagnostic, therapeutic, and/or prognostic purposes. In particular, they may be used as molecular targets for the development of drugs against tumor metastasis. These further research efforts could ultimately lead to the identification of tumor metastasis-associated molecules from which diagnostics and therapeutics for the human gastric cancer may be discovered.</p></sec></body>
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<ack>
<p>This study was supported by the following grants, NHRIBP-091-CF03, NHRI-BP-093-CB06, NHRI-BP-094-PP11, NHRI-BP-094-PP13, NHRI-095-PP07, and NSC-92-2218-E-400-001, awarded to C.T. Chen from The National Health Research Institutes, Miaoli and The National Science Council, Taiwan, R.O.C.</p></ack>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-ijo-41-03-1068" position="float">
<label>Figure 1</label>
<caption>
<p>Morphology of MKN45-GFP and MKN45-GFP-12 cells. MKN45-GFP sublines constitutively expressing GFP proteins were established by transfection of parental MKN45 cells (A) with pEGFP-C1 plasmids. MKN45-GFP (B, bright field; C, fluorescent field) and MKN45-GFP-12 (D) cells are shown. Scale bars, 50 <italic>&#x003BC;</italic>m.</p></caption>
<graphic xlink:href="IJO-41-03-1068-g00.gif"/></fig>
<fig id="f2-ijo-41-03-1068" position="float">
<label>Figure 2</label>
<caption>
<p>Invasion ability of MKN45 and MKN45-GFP cell sublines. (A-E) Invaded MKN45 and MKN45-GFP cells were fixed with 10&#x00025; form-aldehyde followed by hematoxylin staining as shown (magnification, &#x000D7;100). (F) The number of invaded cells on the bottom surface of the Transwell<sup>&#x000AE;</sup> membrane was counted for each cell subline. MKN45-GFP-4, MKN45-GFP-10, and MKN45-GFP-12 cells exhibited a 2-, 6-, and 6-fold increase, respectively, in the invasion ability relative to that of MKN45-GFP (<sup>&#x0002A;</sup>p&#x0003C;0.05), n&#x0003D;4. Differential invasion abilities were also observed in MKN45-GFP-4 vs. MKN45-GFP-10 and MKN45-GFP vs. MKN45-GFP-12 cells.</p></caption>
<graphic xlink:href="IJO-41-03-1068-g01.gif"/></fig>
<fig id="f3-ijo-41-03-1068" position="float">
<label>Figure 3</label>
<caption>
<p><italic>In vivo</italic> orthotopic growths of MKN45-GFP and MKN45-GFP-12 tumors in nude mice. MKN45-GFP-12 tumors orthotopically grew in the intraperitoneally disseminated condition inside the peritonea of the nude mice. A representative mouse after laparotomy with the growing tumors was visualized in bright (A) and fluorescent (B) fields. As the arrows indicate, the mouse liver with metastasized MKN45-GFP-12 tumors was dissected and observed in bright (C) and fluorescent (D) fields. Orthotopically growing MKN45-GFP tumors in a nude mouse are shown in bright (E) and fluorescent (F) fields. A hematoxylin-eosin stained tissue section of a nude mouse liver invaded by an MKN45-GFP-12 tumor is shown in different magnifications in (G&#x02013;I). Scale bars, 200 <italic>&#x003BC;</italic>m for (G) and (H), and 50 <italic>&#x003BC;</italic>m for (I).</p></caption>
<graphic xlink:href="IJO-41-03-1068-g02.gif"/></fig>
<fig id="f4-ijo-41-03-1068" position="float">
<label>Figure 4</label>
<caption>
<p>Hierarchical clustering analysis of gene profiles of the MKN45 cell sublines. Four MKN45 sublines with varying invasion abilities were microarray analyzed, and the gene expression trends calculated against that of the control subline MKN45-GFP were determined. All genes that shared a similar trend of ascending or descending property were clustered, respectively, and 330 descending and 184 ascending genes were identified.</p></caption>
<graphic xlink:href="IJO-41-03-1068-g03.gif"/></fig>
<fig id="f5-ijo-41-03-1068" position="float">
<label>Figure 5</label>
<caption>
<p>Functional grouping of invasion/metastasis-associated genes. The genes after the hierarchical clustering analysis were grouped into categories on the basis of their cellular functions. Representative genes were listed in five functional groups as: (A) angiogenesis related genes, (B) cell cycle regulation related genes, (C) cytoskeleton and motility related genes, (D) protease and cell adhesion related genes, and (E) signal transduction related genes. Genes with multiple cellular functions were included in more than one functional group.</p></caption>
<graphic xlink:href="IJO-41-03-1068-g04.gif"/></fig>
<fig id="f6-ijo-41-03-1068" position="float">
<label>Figure 6</label>
<caption>
<p>Reverse transcriptase PCR analysis of mRNA levels in MKN45-GFP cell sublines. Four genes (<italic>TFF3, BEX2, SGCE, IGFBP3</italic>) with ascending mRNA levels and two genes (<italic>OTR, LGR4/GPR48</italic>) with descending mRNA levels were analyzed. The level of GAPDH mRNA was used as the internal control for normalization. The relative mRNA levels of the genes compared to that of MKN45-GFP were indicated accordingly. (<italic>TFF3</italic>, trefoil factor 3; <italic>BEX2</italic>, brain expressed X-linked 2; <italic>SGCE</italic>, sarcoglycan, epsilon; <italic>IGFBP3</italic>, insulin-like growth factor binding protein 3; <italic>OTR</italic>, oxytocin receptor; <italic>LGR4/GPR48</italic>, leucine-rich repeat-containing G protein-coupled receptor 4/G protein-coupled receptor 48).</p></caption>
<graphic xlink:href="IJO-41-03-1068-g05.gif"/></fig>
<fig id="f7-ijo-41-03-1068" position="float">
<label>Figure 7</label>
<caption>
<p>Correlated expression levels of proteins in MKN45-GFP and MKN45-GFP cell sublines. The expressed protein levels of four genes with descending (<italic>FANCA, MPS1</italic>) and ascending (<italic>MIA, IGFBP3</italic>) mRNA expression trends, respectively, in the MKN45-GFP sublines in relation to the invasiveness were analyzed. The protein level of GAPDH was used as internal control for normalization of the protein expression levels. The relative protein expression levels compared to that of MKN45-GFP were image-analyzed and indicated in numbers accordingly. Each experiment was carried out in triplicates. (FANCA, fanconi anemia complementation group A; MPS1/TTK protein kinase, metallopanstimulin 1; MIA, melanoma-inhibitory activity; IGFBP3, insulin-like growth factor binding protein 3).</p></caption>
<graphic xlink:href="IJO-41-03-1068-g06.gif"/></fig>
<table-wrap id="t1-ijo-41-03-1068" position="float">
<label>Table I</label>
<caption>
<p>Doubling time of MKN45 and MKN45-GFP sublines.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Cell line</th>
<th align="center" valign="middle">Doubling time (day)</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">MKN45</td>
<td align="center" valign="top">1.4&#x000B1;0.3<xref rid="tfn1-ijo-41-03-1068" ref-type="table-fn"><sup>&#x0002A;</sup></xref></td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP</td>
<td align="center" valign="top">1.7&#x000B1;0.1</td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP-4</td>
<td align="center" valign="top">1.5&#x000B1;0.5</td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP-10</td>
<td align="center" valign="top">1.7&#x000B1;0.4</td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP-12</td>
<td align="center" valign="top">1.5&#x000B1;0.4</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-41-03-1068">
<label>&#x0002A;</label>
<p>Mean &#x000B1; SD (n&#x0003D;6). No significant difference among the cells, p&#x0003D;0.70.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-ijo-41-03-1068" position="float">
<label>Table II</label>
<caption>
<p>Incidence of ascites in the nude mice intraperitoneally inoculated with the cancer cells.</p></caption>
<table frame="hsides" rules="none">
<thead>
<tr>
<th align="left" valign="middle"/>
<th align="center" valign="middle">Week 2<xref rid="tfn2-ijo-41-03-1068" ref-type="table-fn"><sup>&#x0002A;</sup></xref></th>
<th align="center" valign="middle">Week 3</th>
<th align="center" valign="middle">Week 4</th>
<th align="center" valign="middle">Week 5</th></tr>
<tr>
<th align="left" valign="top"/>
<th colspan="4" align="left" valign="top">
<hr/></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">MKN45-GFP</td>
<td align="center" valign="top">0/7</td>
<td align="center" valign="top">1/7</td>
<td align="center" valign="top">1/7</td>
<td align="center" valign="top">6/7</td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP-12</td>
<td align="center" valign="top">0/7</td>
<td align="center" valign="top">1/7</td>
<td align="center" valign="top">6/7<xref rid="tfn3-ijo-41-03-1068" ref-type="table-fn"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td align="center" valign="top">6/7</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijo-41-03-1068">
<label>&#x0002A;</label>
<p>Time when animals were sacrificed following inoculation.</p></fn><fn id="tfn3-ijo-41-03-1068">
<label>&#x0002A;&#x0002A;</label>
<p>p&#x0003D;0.015 vs. MKN45-GFP, Fisher&#x02019;s exact test.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t3-ijo-41-03-1068" position="float">
<label>Table III</label>
<caption>
<p>Incidence of liver metastasis in the nude mice intraperitoneally inoculated with the cancer cells.</p></caption>
<table frame="hsides" rules="none">
<thead>
<tr>
<th align="left" valign="middle"/>
<th align="center" valign="middle">No metastasis</th>
<th align="center" valign="middle">Metastasis</th></tr>
<tr>
<th align="left" valign="middle"/>
<th colspan="2" align="left" valign="top">
<hr/></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">MKN45-GFP</td>
<td align="center" valign="top">33/35 (94&#x00025;)</td>
<td align="center" valign="top">2/35 (6&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">MKN45-GFP-12</td>
<td align="center" valign="top">27/35 (77&#x00025;)</td>
<td align="center" valign="top">8/35 (23&#x00025;)<xref rid="tfn4-ijo-41-03-1068" ref-type="table-fn"><sup>&#x0002A;</sup></xref></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-ijo-41-03-1068">
<label>&#x0002A;</label>
<p>p&#x0003D;0.042 vs. MKN45-GFP, Fisher&#x02019;s exact test.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t4-ijo-41-03-1068" position="float">
<label>Table IV</label>
<caption>
<p>Genes of known functions differentially expressed between parental and highly metastatic MKN45 cell lines.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Probe name</th>
<th align="center" valign="top">Accession no.</th>
<th align="center" valign="top">Sequence homology (GenBank/EMBL)</th>
<th align="center" valign="top">Gene symbol</th>
<th align="center" valign="top">Chromosome location</th>
<th align="center" valign="top">Log<sub>2</sub>&#x0005B;<italic>E</italic><italic><sub>12</sub></italic><italic>/E</italic><italic><sub>p</sub></italic>&#x0005D;</th></tr></thead>
<tbody>
<tr>
<td colspan="6" align="center" valign="top">Angiogenesis related genes</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">A_23_P257296</td>
<td align="center" valign="top">NM_003226</td>
<td align="left" valign="top">Trefoil factor 3</td>
<td align="left" valign="top">TFF3</td>
<td align="center" valign="top">21q22.3</td>
<td align="center" valign="top">2.74</td></tr>
<tr>
<td align="left" valign="top">A_23_P132987</td>
<td align="center" valign="top">NM_002619</td>
<td align="left" valign="top">Platelet factor 4</td>
<td align="left" valign="top">PF4</td>
<td align="center" valign="top">4q12-q21</td>
<td align="center" valign="top">2.06</td></tr>
<tr>
<td align="left" valign="top">A_23_P387668</td>
<td align="center" valign="top">NM_003376</td>
<td align="left" valign="top">Vascular endothelial growth factor</td>
<td align="left" valign="top">VEGFA</td>
<td align="center" valign="top">6p12</td>
<td align="center" valign="top">1.40</td></tr>
<tr>
<td align="left" valign="top">A_23_P87564</td>
<td align="center" valign="top">NM_001731</td>
<td align="left" valign="top">B-cell translocation gene 1, anti-proliferative</td>
<td align="left" valign="top">BTG1</td>
<td align="center" valign="top">12q22</td>
<td align="center" valign="top">1.24</td></tr>
<tr>
<td align="left" valign="top">A_23_P421423</td>
<td align="center" valign="top">NM_006291</td>
<td align="left" valign="top">Tumor necrosis factor, &#x003B1;-induced protein 2</td>
<td align="left" valign="top">TNFAIP2</td>
<td align="center" valign="top">14q32</td>
<td align="center" valign="top">&#x02212;1.76</td></tr>
<tr>
<td align="left" valign="top">A_23_P46429</td>
<td align="center" valign="top">NM_001554</td>
<td align="left" valign="top">Cystein-rich, angiogenic inducer, 61</td>
<td align="left" valign="top">CYR61</td>
<td align="center" valign="top">1p31-p22</td>
<td align="center" valign="top">&#x02212;2.12</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td colspan="6" align="center" valign="middle">Cell cycle regulation related genes</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">A_23_P22735</td>
<td align="center" valign="top">NM_032621</td>
<td align="left" valign="top">Brain expressed X-linked 2</td>
<td align="left" valign="top">BEX2</td>
<td align="center" valign="top">Xq22</td>
<td align="center" valign="top">3.99</td></tr>
<tr>
<td align="left" valign="top">A_23_P122197</td>
<td align="center" valign="top">NM_031966</td>
<td align="left" valign="top">Cyclin B1</td>
<td align="left" valign="top">CCNB1</td>
<td align="center" valign="top">5q12</td>
<td align="center" valign="top">&#x02212;1.56</td></tr>
<tr>
<td align="left" valign="top">A_23_P80032</td>
<td align="center" valign="top">NM_005225</td>
<td align="left" valign="top">E2F transcription factor</td>
<td align="left" valign="top">E2F1</td>
<td align="center" valign="top">20q11.2</td>
<td align="center" valign="top">&#x02212;1.66</td></tr>
<tr>
<td align="left" valign="top">A_23_P65757</td>
<td align="center" valign="top">NM_004701</td>
<td align="left" valign="top">Cyclin B2</td>
<td align="left" valign="top">CCNB2</td>
<td align="center" valign="top">15q22.2</td>
<td align="center" valign="top">&#x02212;1.78</td></tr>
<tr>
<td align="left" valign="top">A_23_P259586</td>
<td align="center" valign="top">NM_003318</td>
<td align="left" valign="top">Metallopanstimulin 1</td>
<td align="left" valign="top">TTK</td>
<td align="center" valign="top">6q13-q21</td>
<td align="center" valign="top">&#x02212;1.85</td></tr>
<tr>
<td align="left" valign="top">A_23_P139881</td>
<td align="center" valign="top">NM_001759</td>
<td align="left" valign="top">Cyclin D2</td>
<td align="left" valign="top">CCND2</td>
<td align="center" valign="top">12p13</td>
<td align="center" valign="top">&#x02212;2.33</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td colspan="6" align="center" valign="middle">Cytoskeleton and motility related genes</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">A_23_P19663</td>
<td align="center" valign="top">NM_001901</td>
<td align="left" valign="top">Connective tissue growth factor</td>
<td align="left" valign="top">CTGF</td>
<td align="center" valign="top">6q23.1</td>
<td align="center" valign="top">1.56</td></tr>
<tr>
<td align="left" valign="top">A_23_P254626</td>
<td align="center" valign="top">NM_003919</td>
<td align="left" valign="top">Sarcoglycan, epsilon</td>
<td align="left" valign="top">SGCE</td>
<td align="center" valign="top">7q21-q22</td>
<td align="center" valign="top">1.46</td></tr>
<tr>
<td align="left" valign="top">A_23_P374844</td>
<td align="center" valign="top">NM_015973</td>
<td align="left" valign="top">Galanin</td>
<td align="left" valign="top">GAL</td>
<td align="center" valign="top">11q13.3</td>
<td align="center" valign="top">&#x02212;1.52</td></tr>
<tr>
<td align="left" valign="top">A_23_P121533</td>
<td align="center" valign="top">NM_012445</td>
<td align="left" valign="top">Spondin 2, extracellular matrix protein</td>
<td align="left" valign="top">SPON2</td>
<td align="center" valign="top">4p16.3</td>
<td align="center" valign="top">&#x02212;1.57</td></tr>
<tr>
<td align="left" valign="top">A_23_P96149</td>
<td align="center" valign="top">NM_000422</td>
<td align="left" valign="top">Keratin 17</td>
<td align="left" valign="top">KRT17</td>
<td align="center" valign="top">17q12-q21</td>
<td align="center" valign="top">&#x02212;1.59</td></tr>
<tr>
<td align="left" valign="top">A_23_P157795</td>
<td align="center" valign="top">NM_003798</td>
<td align="left" valign="top">Catenin, &#x003B1;-like 1</td>
<td align="left" valign="top">CTNNAL1</td>
<td align="center" valign="top">9q31.2</td>
<td align="center" valign="top">&#x02212;2.14</td></tr>
<tr>
<td align="left" valign="top">A_23_P132619</td>
<td align="center" valign="top">NM_000916</td>
<td align="left" valign="top">Oxytocin receptor</td>
<td align="left" valign="top">OXTR</td>
<td align="center" valign="top">3p25</td>
<td align="center" valign="top">&#x02212;2.90</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td colspan="6" align="center" valign="middle">Protease and cell adhesion related genes</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">A_23_P257296</td>
<td align="center" valign="top">NM_003226</td>
<td align="left" valign="top">Trefoil factor 3</td>
<td align="left" valign="top">TFF3</td>
<td align="center" valign="top">21q22.3</td>
<td align="center" valign="top">2.74</td></tr>
<tr>
<td align="left" valign="top">A_23_P19663</td>
<td align="center" valign="top">NM_001901</td>
<td align="left" valign="top">Connective tissue growth factor</td>
<td align="left" valign="top">CTGF</td>
<td align="center" valign="top">6q23.1</td>
<td align="center" valign="top">1.56</td></tr>
<tr>
<td align="left" valign="top">A_23_P254626</td>
<td align="center" valign="top">NM_003919</td>
<td align="left" valign="top">Sarcoglycan, epsilon</td>
<td align="left" valign="top">SGCE</td>
<td align="center" valign="top">7q21-q22</td>
<td align="center" valign="top">1.46</td></tr>
<tr>
<td align="left" valign="top">A_23_P387668</td>
<td align="center" valign="top">NM_003376</td>
<td align="left" valign="top">Vascular endothelial growth factor</td>
<td align="left" valign="top">VEGFA</td>
<td align="center" valign="top">6p12</td>
<td align="center" valign="top">1.40</td></tr>
<tr>
<td align="left" valign="top">A_23_P121533</td>
<td align="center" valign="top">NM_012445</td>
<td align="left" valign="top">Spondin 2, extracellular matrix protein</td>
<td align="left" valign="top">SPON2</td>
<td align="center" valign="top">4p16.3</td>
<td align="center" valign="top">&#x02212;1.57</td></tr>
<tr>
<td align="left" valign="top">A_23_P6935</td>
<td align="center" valign="top">NM_001777</td>
<td align="left" valign="top">CD47 antigen</td>
<td align="left" valign="top">CD47</td>
<td align="center" valign="top">3q13.1-q13.2</td>
<td align="center" valign="top">&#x02212;1.89</td></tr>
<tr>
<td align="left" valign="top">A_23_P201636</td>
<td align="center" valign="top">NM_005562</td>
<td align="left" valign="top">Laminin, gamma 2</td>
<td align="left" valign="top">LAMC2</td>
<td align="center" valign="top">1q25-q31</td>
<td align="center" valign="top">&#x02212;2.00</td></tr>
<tr>
<td align="left" valign="top">A_23_P118815</td>
<td align="center" valign="top">NM_001168</td>
<td align="left" valign="top">Baculoviral IAP repeat-containing 5</td>
<td align="left" valign="top">BIRC5</td>
<td align="center" valign="top">17q25</td>
<td align="center" valign="top">&#x02212;2.12</td></tr>
<tr>
<td align="left" valign="top">A_23_P157795</td>
<td align="center" valign="top">NM_003798</td>
<td align="left" valign="top">Catenin, &#x003B1;-like 1</td>
<td align="left" valign="top">CTNNAL1</td>
<td align="center" valign="top">9q31.2</td>
<td align="center" valign="top">&#x02212;2.14</td></tr>
<tr>
<td align="left" valign="top">A_23_P218441</td>
<td align="center" valign="top">NM_002483</td>
<td align="left" valign="top">Carcinoembryonic antigene-related CAM 6</td>
<td align="left" valign="top">CEACAM6</td>
<td align="center" valign="top">19q13.2</td>
<td align="center" valign="top">&#x02212;2.61</td></tr>
<tr>
<td align="left" valign="top">A_23_P214168</td>
<td align="center" valign="top">NM_004370</td>
<td align="left" valign="top">Collagen, type XII, &#x003B1; 1</td>
<td align="left" valign="top">COL12A1</td>
<td align="center" valign="top">6q12-q13</td>
<td align="center" valign="top">&#x02212;2.74</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td colspan="6" align="center" valign="top">Signal transduction related genes</td></tr>
<tr>
<td colspan="6" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">A_23_P42869</td>
<td align="center" valign="top">NM_000596</td>
<td align="left" valign="top">Insulin-like growth factor binding protein 1</td>
<td align="left" valign="top">IGFBP1</td>
<td align="center" valign="top">7p13-p12</td>
<td align="center" valign="top">4.19</td></tr>
<tr>
<td align="left" valign="top">A_23_P215634</td>
<td align="center" valign="top">NM_000598</td>
<td align="left" valign="top">Insulin-like growth factor binding protein 3</td>
<td align="left" valign="top">IGFBP3</td>
<td align="center" valign="top">7p13-p12</td>
<td align="center" valign="top">4.10</td></tr>
<tr>
<td align="left" valign="top">A_23_P4714</td>
<td align="center" valign="top">NM_006533</td>
<td align="left" valign="top">Melanoma inhibitory activity</td>
<td align="left" valign="top">MIA</td>
<td align="center" valign="top">19q13.32-q13.33</td>
<td align="center" valign="top">2.73</td></tr>
<tr>
<td align="left" valign="top">A_23_P65918</td>
<td align="center" valign="top">NM_002220</td>
<td align="left" valign="top">Inositol 1,4,5-trisphosphate 3-kinase A</td>
<td align="left" valign="top">ITPKA</td>
<td align="center" valign="top">15q14-q21</td>
<td align="center" valign="top">2.44</td></tr>
<tr>
<td align="left" valign="top">A_23_P9571</td>
<td align="center" valign="top">NM_018098</td>
<td align="left" valign="top">ECT sequence 2 oncogene</td>
<td align="left" valign="top">ECT2</td>
<td align="center" valign="top">3q26.1-q26.2</td>
<td align="center" valign="top">&#x02212;1.13</td></tr>
<tr>
<td align="left" valign="top">A_23_P203767</td>
<td align="center" valign="top">NM_018490</td>
<td align="left" valign="top">G protein-coupled receptor 48</td>
<td align="left" valign="top">LGR4</td>
<td align="center" valign="top">11p14-p13</td>
<td align="center" valign="top">&#x02212;1.35</td></tr>
<tr>
<td align="left" valign="top">A_23_P206441</td>
<td align="center" valign="top">NM_000135</td>
<td align="left" valign="top">Fanconi anemia, complementation group A</td>
<td align="left" valign="top">FANCA</td>
<td align="center" valign="top">16q24.3</td>
<td align="center" valign="top">&#x02212;1.38</td></tr>
<tr>
<td align="left" valign="top">A_23_P374844</td>
<td align="center" valign="top">NM_015973</td>
<td align="left" valign="top">Galanin</td>
<td align="left" valign="top">GAL</td>
<td align="center" valign="top">11q13.3</td>
<td align="center" valign="top">&#x02212;1.52</td></tr>
<tr>
<td align="left" valign="top">A_23_P6935</td>
<td align="center" valign="top">NM_001777</td>
<td align="left" valign="top">CD47 antigen</td>
<td align="left" valign="top">CD47</td>
<td align="center" valign="top">3q13.1-q13.2</td>
<td align="center" valign="top">&#x02212;1.89</td></tr>
<tr>
<td align="left" valign="top">A_23_P218441</td>
<td align="center" valign="top">NM_002483</td>
<td align="left" valign="top">Carcinoembryonic antigene-related CAM 6</td>
<td align="left" valign="top">CEACAM6</td>
<td align="center" valign="top">19q13.2</td>
<td align="center" valign="top">&#x02212;2.61</td></tr>
<tr>
<td align="left" valign="top">A_23_P132619</td>
<td align="center" valign="top">NM_000916</td>
<td align="left" valign="top">Oxytocin receptor</td>
<td align="left" valign="top">OXTR</td>
<td align="center" valign="top">3p25</td>
<td align="center" valign="top">&#x02212;2.90</td></tr>
<tr>
<td align="left" valign="top">A_23_P30126</td>
<td align="center" valign="top">NM_005130</td>
<td align="left" valign="top">FGF binding protein</td>
<td align="left" valign="top">FGFBP1</td>
<td align="center" valign="top">4p16-p15</td>
<td align="center" valign="top">&#x02212;3.20</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn5-ijo-41-03-1068">
<p>Log<sub>2</sub>&#x0005B;<italic>E</italic><italic><sub>12</sub></italic><italic>/E</italic><italic><sub>p</sub></italic>&#x0005D; corresponds to 2 logarithm of mean expression ration of MKN45-GFP-12 (<italic>E</italic><italic><sub>12</sub></italic>) to MKN45 parental cell line (<italic>E</italic><italic><sub>p</sub></italic>).</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t5-ijo-41-03-1068" position="float">
<label>Table V</label>
<caption>
<p>Novel genes of unknown functions differentially expressed between parental and highly metastatic MKN45 cell lines.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Probe name</th>
<th align="center" valign="top">Accession no.</th>
<th align="center" valign="top">Sequence homology (GenBank/EMBL)</th>
<th align="center" valign="top">Gene symbol</th>
<th align="center" valign="top">Chromosome location</th>
<th align="center" valign="top">Log<sub>2</sub>&#x0005B;<italic>E</italic><italic><sub>12</sub></italic><italic>/E</italic><italic><sub>p</sub></italic>&#x0005D;</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">A_23_P209360</td>
<td align="center" valign="top">NM_052920</td>
<td align="left" valign="top">Kelch-like 29</td>
<td align="left" valign="top">KLHL29</td>
<td align="center" valign="top">2p24.1</td>
<td align="center" valign="top">3.26</td></tr>
<tr>
<td align="left" valign="top">A_23_P20876</td>
<td align="center" valign="top">NM_152422</td>
<td align="left" valign="top">Protein tyrosine phosphatase domain containing 1</td>
<td align="left" valign="top">PTPDC1</td>
<td align="center" valign="top">9q22.32</td>
<td align="center" valign="top">2.51</td></tr>
<tr>
<td align="left" valign="top">A_23_P83339</td>
<td align="center" valign="top">NM_145051</td>
<td align="left" valign="top">Ring finger protein 183</td>
<td align="left" valign="top">RNF183</td>
<td align="center" valign="top">9q32</td>
<td align="center" valign="top">2.14</td></tr>
<tr>
<td align="left" valign="top">A_23_P108823</td>
<td align="center" valign="top">NM_145739</td>
<td align="left" valign="top">Oxysterol binding protein-like 6</td>
<td align="left" valign="top">OSBPL6</td>
<td align="center" valign="top">2q32.1</td>
<td align="center" valign="top">1.92</td></tr>
<tr>
<td align="left" valign="top">A_23_P154740</td>
<td align="center" valign="top">NM_018474</td>
<td align="left" valign="top">Polo-like kinase 1 substrate 1</td>
<td align="left" valign="top">PLK1S1</td>
<td align="center" valign="top">20p11.23</td>
<td align="center" valign="top">1.80</td></tr>
<tr>
<td align="left" valign="top">A_23_P79302</td>
<td align="center" valign="top">NM_177964</td>
<td align="left" valign="top">LY6/PLAUR domain containing 6B</td>
<td align="left" valign="top">LYPD6B</td>
<td align="center" valign="top">2q23.2</td>
<td align="center" valign="top">1.44</td></tr>
<tr>
<td align="left" valign="top">A_23_P52727</td>
<td align="center" valign="top">NM_182964</td>
<td align="left" valign="top">Neuron navigator 2</td>
<td align="left" valign="top">NAV2</td>
<td align="center" valign="top">11p15.1</td>
<td align="center" valign="top">&#x02212;1.49</td></tr>
<tr>
<td align="left" valign="top">A_23_P51966</td>
<td align="center" valign="top">NM_003035</td>
<td align="left" valign="top">SCL/TAL1 interrupting locus</td>
<td align="left" valign="top">STIL</td>
<td align="center" valign="top">1q32; 1p32</td>
<td align="center" valign="top">&#x02212;1.55</td></tr>
<tr>
<td align="left" valign="top">A_23_P379778</td>
<td align="center" valign="top">NM_017594</td>
<td align="left" valign="top">DIRAS family, GTP-binding RAS-like 2</td>
<td align="left" valign="top">DIRAS2</td>
<td align="center" valign="top">9q22.2</td>
<td align="center" valign="top">&#x02212;1.56</td></tr>
<tr>
<td align="left" valign="top">A_23_P69179</td>
<td align="center" valign="top">NM_018192</td>
<td align="left" valign="top">Leprecan-like 1</td>
<td align="left" valign="top">LEPREL1</td>
<td align="center" valign="top">3q28</td>
<td align="center" valign="top">&#x02212;1.57</td></tr>
<tr>
<td align="left" valign="top">A_23_P340909</td>
<td align="center" valign="top">NM_145061</td>
<td align="left" valign="top">Spindle and kinetochore associated complex subunit 3</td>
<td align="left" valign="top">SKA3</td>
<td align="center" valign="top">13q12.11</td>
<td align="center" valign="top">&#x02212;1.66</td></tr>
<tr>
<td align="left" valign="top">A_23_P118582</td>
<td align="center" valign="top">NM_013290</td>
<td align="left" valign="top">PSMC3 interacting protein</td>
<td align="left" valign="top">PSMC3IP</td>
<td align="center" valign="top">17q21.2</td>
<td align="center" valign="top">&#x02212;1.70</td></tr>
<tr>
<td align="left" valign="top">A_23_P48835</td>
<td align="center" valign="top">NM_138555</td>
<td align="left" valign="top">Kinesin family member 23</td>
<td align="left" valign="top">KIF23</td>
<td align="center" valign="top">15q23</td>
<td align="center" valign="top">&#x02212;1.80</td></tr>
<tr>
<td align="left" valign="top">A_23_P166526</td>
<td align="center" valign="top">NM_015653</td>
<td align="left" valign="top">RIB43A domain with coiled-coils 2</td>
<td align="left" valign="top">RIBC2</td>
<td align="center" valign="top">22q13.31</td>
<td align="center" valign="top">&#x02212;1.90</td></tr>
<tr>
<td align="left" valign="top">A_23_P80718</td>
<td align="center" valign="top">NM_144642</td>
<td align="left" valign="top">Synaptoporin</td>
<td align="left" valign="top">SYNPR</td>
<td align="center" valign="top">3p14.2</td>
<td align="center" valign="top">&#x02212;1.92</td></tr>
<tr>
<td align="left" valign="top">A_23_P49878</td>
<td align="center" valign="top">NM_019013</td>
<td align="left" valign="top">Family with sequence similarity 64, member A</td>
<td align="left" valign="top">FAM64A</td>
<td align="center" valign="top">17p13.2</td>
<td align="center" valign="top">&#x02212;1.93</td></tr>
<tr>
<td align="left" valign="top">A_23_P323751</td>
<td align="center" valign="top">NM_030919</td>
<td align="left" valign="top">Family with sequence similarity 83, member D</td>
<td align="left" valign="top">FAM83D</td>
<td align="center" valign="top">20q11.22-q12</td>
<td align="center" valign="top">&#x02212;1.95</td></tr>
<tr>
<td align="left" valign="top">A_23_P42811</td>
<td align="center" valign="top">NM_176813</td>
<td align="left" valign="top">Anterior gradient homolog 3</td>
<td align="left" valign="top">AGR3</td>
<td align="center" valign="top">7p21.1</td>
<td align="center" valign="top">&#x02212;2.06</td></tr>
<tr>
<td align="left" valign="top">A_23_P388812</td>
<td align="center" valign="top">NM_152515</td>
<td align="left" valign="top">Cytoskeleton associated protein 2-like</td>
<td align="left" valign="top">CKAP2L</td>
<td align="center" valign="top">2q13</td>
<td align="center" valign="top">&#x02212;2.07</td></tr>
<tr>
<td align="left" valign="top">A_23_P25964</td>
<td align="center" valign="top">NM_000153</td>
<td align="left" valign="top">Galactosylceramidase</td>
<td align="left" valign="top">GALC</td>
<td align="center" valign="top">14q31</td>
<td align="center" valign="top">&#x02212;2.16</td></tr>
<tr>
<td align="left" valign="top">A_23_P355525</td>
<td align="center" valign="top">NM_173497</td>
<td align="left" valign="top">HECT domain containing 2</td>
<td align="left" valign="top">HECTD2</td>
<td align="center" valign="top">10q23.32</td>
<td align="center" valign="top">&#x02212;2.39</td></tr>
<tr>
<td align="left" valign="top">A_23_P250853</td>
<td align="center" valign="top">N/A</td>
<td align="left" valign="top">SM3A_HUMAN (Q14563) Semaphorin 3A precursor (Semaphorin III) (Sema III), partial (8&#x00025;)</td>
<td align="left" valign="top">THC2052903</td>
<td align="center" valign="top">N/A</td>
<td align="center" valign="top">&#x02212;2.41</td></tr>
<tr>
<td align="left" valign="top">A_23_P35995</td>
<td align="center" valign="top">NM_024769</td>
<td align="left" valign="top">Adipocyte-specific adhesion molecule</td>
<td align="left" valign="top">ASAM</td>
<td align="center" valign="top">11q24.1</td>
<td align="center" valign="top">&#x02212;2.49</td></tr>
<tr>
<td align="left" valign="top">A_23_P3302</td>
<td align="center" valign="top">NM_018365</td>
<td align="left" valign="top">Meiosis-specific nuclear structural 1</td>
<td align="left" valign="top">MNS1</td>
<td align="center" valign="top">15q21.3</td>
<td align="center" valign="top">&#x02212;2.50</td></tr>
<tr>
<td align="left" valign="top">A_23_P217785</td>
<td align="center" valign="top">NM_016500</td>
<td align="left" valign="top">Chromosome X open reading frame 26</td>
<td align="left" valign="top">CXorf26</td>
<td align="center" valign="top">Xq13.3</td>
<td align="center" valign="top">&#x02212;2.54</td></tr>
<tr>
<td align="left" valign="top">A_23_P130027</td>
<td align="center" valign="top">NM_017957</td>
<td align="left" valign="top">Epsin 3</td>
<td align="left" valign="top">EPN3</td>
<td align="center" valign="top">17q21.33</td>
<td align="center" valign="top">&#x02212;2.60</td></tr>
<tr>
<td align="left" valign="top">A_23_P301360</td>
<td align="center" valign="top">NM_152412</td>
<td align="left" valign="top">Zinc finger protein 572</td>
<td align="left" valign="top">ZNF572</td>
<td align="center" valign="top">8q24.13</td>
<td align="center" valign="top">&#x02212;2.62</td></tr>
<tr>
<td align="left" valign="top">A_23_P254842</td>
<td align="center" valign="top">NM_012080</td>
<td align="left" valign="top">Haloacid dehalogenase-like hydrolase domain containing 1</td>
<td align="left" valign="top">HDHD1</td>
<td align="center" valign="top">Xp22.32</td>
<td align="center" valign="top">&#x02212;2.68</td></tr>
<tr>
<td align="left" valign="top">A_23_P329254</td>
<td align="center" valign="top">NM_153032</td>
<td align="left" valign="top">Archaelysin family metallopeptidase 2 pseudogene 1</td>
<td align="left" valign="top">AMZ2P1</td>
<td align="center" valign="top">17q24.1</td>
<td align="center" valign="top">&#x02212;2.69</td></tr>
<tr>
<td align="left" valign="top">A_23_P35871</td>
<td align="center" valign="top">NM_024680</td>
<td align="left" valign="top">E2F transcription factor 8</td>
<td align="left" valign="top">E2F8</td>
<td align="center" valign="top">11p15.1</td>
<td align="center" valign="top">&#x02212;2.75</td></tr>
<tr>
<td align="left" valign="top">A_23_P154279</td>
<td align="center" valign="top">NM_032309</td>
<td align="left" valign="top">Coiled-coil-helix-coiled-coil-helix domain containing 5</td>
<td align="left" valign="top">CHCHD5</td>
<td align="center" valign="top">2q13</td>
<td align="center" valign="top">&#x02212;3.01</td></tr>
<tr>
<td align="left" valign="top">A_23_P252432</td>
<td align="center" valign="top">NM_004617</td>
<td align="left" valign="top">Transmembrane 4 L six family member 4</td>
<td align="left" valign="top">TM4SF4</td>
<td align="center" valign="top">3q25</td>
<td align="center" valign="top">&#x02212;3.06</td></tr>
<tr>
<td align="left" valign="top">A_23_P75915</td>
<td align="center" valign="top">NM_024557</td>
<td align="left" valign="top">Resistance to inhibitors of cholinesterase 3 homolog (C. elegans)</td>
<td align="left" valign="top">RIC3</td>
<td align="center" valign="top">11p15.4</td>
<td align="center" valign="top">&#x02212;3.06</td></tr>
<tr>
<td align="left" valign="top">A_23_P252388</td>
<td align="center" valign="top">NM_024867</td>
<td align="left" valign="top">Sperm flagellar 2</td>
<td align="left" valign="top">SPEF2</td>
<td align="center" valign="top">5p13.2</td>
<td align="center" valign="top">&#x02212;3.20</td></tr>
<tr>
<td align="left" valign="top">A_23_P396765</td>
<td align="center" valign="top">NM_173582</td>
<td align="left" valign="top">Phosphoglucomutase 2-like 1</td>
<td align="left" valign="top">PGM2L1</td>
<td align="center" valign="top">11q13.4</td>
<td align="center" valign="top">&#x02212;3.41</td></tr>
<tr>
<td align="left" valign="top">A_23_P139604</td>
<td align="center" valign="top">NM_003805</td>
<td align="left" valign="top">CASP2 and RIPK1 domain containing adaptor with death domain</td>
<td align="left" valign="top">CRADD</td>
<td align="center" valign="top">12q21.33-q23.1</td>
<td align="center" valign="top">&#x02212;4.71</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn6-ijo-41-03-1068">
<p>Log<sub>2</sub>&#x0005B;<italic>E</italic><italic><sub>12</sub></italic><italic>/E</italic><italic><sub>p</sub></italic>&#x0005D; corresponds to 2 logarithm of mean expression ration of MKN45-GFP-12 (<italic>E</italic><italic><sub>12</sub></italic>) to MKN45 parental cell line (<italic>E</italic><italic><sub>p</sub></italic>).</p></fn></table-wrap-foot></table-wrap></sec></back></article>
