DEK Is a Potential Biomarker Associated with Malignant Phenotype in Gastric Cancer Tissues and Plasma
Gastric cancer (GC) is the second most widespread cause of cancer-related mortality worldwide. The discovery of novel biomarkers of oncoproteins can facilitate the development of therapeutic strategies for GC treatment. In this study, we identified novel biomarkers by integrating isobaric tags for r...
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creator | Lee, Kam-Fai Tsai, Ming-Ming Tsai, Chung-Ying Huang, Chung-Guei Ou, Yu-Hsiang Hsieh, Ching-Chuan Hsieh, Hsi-Lung Wang, Chia-Siu Lin, Kwang-Huei |
description | Gastric cancer (GC) is the second most widespread cause of cancer-related mortality worldwide. The discovery of novel biomarkers of oncoproteins can facilitate the development of therapeutic strategies for GC treatment. In this study, we identified novel biomarkers by integrating isobaric tags for relative and absolute quantitation (iTRAQ), a human plasma proteome database, and public Oncomine datasets to search for aberrantly expressed oncogene-associated proteins in GC tissues and plasma. One of the most significantly upregulated biomarkers, DEK, was selected and its expression validated. Our immunohistochemistry (IHC) (
= 92) and quantitative real-time polymerase chain reaction (qRT-PCR) (
= 72) analyses disclosed a marked increase in DEK expression in tumor tissue, compared with paired nontumor mucosa. Importantly, significantly higher preoperative plasma DEK levels were detected in GC patients than in healthy controls via enzyme-linked immunosorbent assay (ELISA). In clinicopathological analysis, higher expression of DEK in both tissue and plasma was significantly associated with advanced stage and poorer survival outcomes of GC patients. Data from receiver operating characteristic (ROC) curve analysis disclosed a better diagnostic accuracy of plasma DEK than carcinoembryonic antigen (CEA), carbohydrate antigen 19.9 (CA 19.9), and C-reactive protein (CRP), highlighting its potential as an effective plasma biomarker for GC. Plasma DEK is also more sensitive in tumor detection than the other three biomarkers. Knockdown of DEK resulted in inhibition of GC cell migration via a mechanism involving modulation of matrix metalloproteinase MMP-2/MMP-9 level and vice versa. Our results collectively support plasma DEK as a useful biomarker for making diagnosis and prognosis of GC patients. |
doi_str_mv | 10.3390/ijms20225689 |
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= 92) and quantitative real-time polymerase chain reaction (qRT-PCR) (
= 72) analyses disclosed a marked increase in DEK expression in tumor tissue, compared with paired nontumor mucosa. Importantly, significantly higher preoperative plasma DEK levels were detected in GC patients than in healthy controls via enzyme-linked immunosorbent assay (ELISA). In clinicopathological analysis, higher expression of DEK in both tissue and plasma was significantly associated with advanced stage and poorer survival outcomes of GC patients. Data from receiver operating characteristic (ROC) curve analysis disclosed a better diagnostic accuracy of plasma DEK than carcinoembryonic antigen (CEA), carbohydrate antigen 19.9 (CA 19.9), and C-reactive protein (CRP), highlighting its potential as an effective plasma biomarker for GC. Plasma DEK is also more sensitive in tumor detection than the other three biomarkers. Knockdown of DEK resulted in inhibition of GC cell migration via a mechanism involving modulation of matrix metalloproteinase MMP-2/MMP-9 level and vice versa. Our results collectively support plasma DEK as a useful biomarker for making diagnosis and prognosis of GC patients.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms20225689</identifier><identifier>PMID: 31766266</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Accuracy ; Acute myeloid leukemia ; Adenocarcinoma ; Aged ; Antigens ; Biomarkers ; Biomarkers, Tumor - analysis ; Bladder cancer ; Breast cancer ; Cancer ; Cell Line, Tumor ; Cell Movement ; Cervical cancer ; Chromosomal Proteins, Non-Histone - analysis ; Chromosomal Proteins, Non-Histone - blood ; Chronic lymphocytic leukemia ; Colon ; Colon cancer ; Datasets ; Female ; Gastric cancer ; Glioma ; Hemopoietic system ; Hepatocellular carcinoma ; Humans ; Leukemia ; Lung cancer ; Lymph nodes ; Lymphatic leukemia ; Lymphatic system ; Lymphocytes T ; Macrophages ; Male ; Medical prognosis ; Medical research ; Melanoma ; Metastases ; Metastasis ; Middle Aged ; Myeloid leukemia ; Neoplasm Metastasis - diagnosis ; Neoplasm Metastasis - pathology ; Oncogene Proteins - analysis ; Oncogene Proteins - blood ; Oral squamous cell carcinoma ; Pancreas ; Peritoneal seeding ; Peritoneum ; Phenotypes ; Poly-ADP-Ribose Binding Proteins - analysis ; Poly-ADP-Ribose Binding Proteins - blood ; Prognosis ; Prostate cancer ; Proteins ; Retina ; Retinoblastoma ; Stomach Neoplasms - blood ; Stomach Neoplasms - diagnosis ; Stomach Neoplasms - pathology ; Survival Analysis ; Tumors ; Urine</subject><ispartof>International journal of molecular sciences, 2019-11, Vol.20 (22), p.5689</ispartof><rights>2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 by the authors. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-786519df284b39c10558f39ba2c219b0df4161c40aad7ca1b0720b333b95da0d3</citedby><cites>FETCH-LOGICAL-c412t-786519df284b39c10558f39ba2c219b0df4161c40aad7ca1b0720b333b95da0d3</cites><orcidid>0000-0001-8302-2472 ; 0000-0002-4495-6616 ; 0000-0002-5649-2222</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888682/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888682/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31766266$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Kam-Fai</creatorcontrib><creatorcontrib>Tsai, Ming-Ming</creatorcontrib><creatorcontrib>Tsai, Chung-Ying</creatorcontrib><creatorcontrib>Huang, Chung-Guei</creatorcontrib><creatorcontrib>Ou, Yu-Hsiang</creatorcontrib><creatorcontrib>Hsieh, Ching-Chuan</creatorcontrib><creatorcontrib>Hsieh, Hsi-Lung</creatorcontrib><creatorcontrib>Wang, Chia-Siu</creatorcontrib><creatorcontrib>Lin, Kwang-Huei</creatorcontrib><title>DEK Is a Potential Biomarker Associated with Malignant Phenotype in Gastric Cancer Tissues and Plasma</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Gastric cancer (GC) is the second most widespread cause of cancer-related mortality worldwide. The discovery of novel biomarkers of oncoproteins can facilitate the development of therapeutic strategies for GC treatment. In this study, we identified novel biomarkers by integrating isobaric tags for relative and absolute quantitation (iTRAQ), a human plasma proteome database, and public Oncomine datasets to search for aberrantly expressed oncogene-associated proteins in GC tissues and plasma. One of the most significantly upregulated biomarkers, DEK, was selected and its expression validated. Our immunohistochemistry (IHC) (
= 92) and quantitative real-time polymerase chain reaction (qRT-PCR) (
= 72) analyses disclosed a marked increase in DEK expression in tumor tissue, compared with paired nontumor mucosa. Importantly, significantly higher preoperative plasma DEK levels were detected in GC patients than in healthy controls via enzyme-linked immunosorbent assay (ELISA). In clinicopathological analysis, higher expression of DEK in both tissue and plasma was significantly associated with advanced stage and poorer survival outcomes of GC patients. Data from receiver operating characteristic (ROC) curve analysis disclosed a better diagnostic accuracy of plasma DEK than carcinoembryonic antigen (CEA), carbohydrate antigen 19.9 (CA 19.9), and C-reactive protein (CRP), highlighting its potential as an effective plasma biomarker for GC. Plasma DEK is also more sensitive in tumor detection than the other three biomarkers. Knockdown of DEK resulted in inhibition of GC cell migration via a mechanism involving modulation of matrix metalloproteinase MMP-2/MMP-9 level and vice versa. Our results collectively support plasma DEK as a useful biomarker for making diagnosis and prognosis of GC patients.</description><subject>Accuracy</subject><subject>Acute myeloid leukemia</subject><subject>Adenocarcinoma</subject><subject>Aged</subject><subject>Antigens</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Bladder cancer</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cell Line, Tumor</subject><subject>Cell Movement</subject><subject>Cervical cancer</subject><subject>Chromosomal Proteins, Non-Histone - analysis</subject><subject>Chromosomal Proteins, Non-Histone - blood</subject><subject>Chronic lymphocytic leukemia</subject><subject>Colon</subject><subject>Colon cancer</subject><subject>Datasets</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Glioma</subject><subject>Hemopoietic system</subject><subject>Hepatocellular carcinoma</subject><subject>Humans</subject><subject>Leukemia</subject><subject>Lung cancer</subject><subject>Lymph nodes</subject><subject>Lymphatic leukemia</subject><subject>Lymphatic system</subject><subject>Lymphocytes T</subject><subject>Macrophages</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Melanoma</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Myeloid leukemia</subject><subject>Neoplasm Metastasis - diagnosis</subject><subject>Neoplasm Metastasis - pathology</subject><subject>Oncogene Proteins - analysis</subject><subject>Oncogene Proteins - blood</subject><subject>Oral squamous cell carcinoma</subject><subject>Pancreas</subject><subject>Peritoneal seeding</subject><subject>Peritoneum</subject><subject>Phenotypes</subject><subject>Poly-ADP-Ribose Binding Proteins - analysis</subject><subject>Poly-ADP-Ribose Binding Proteins - blood</subject><subject>Prognosis</subject><subject>Prostate cancer</subject><subject>Proteins</subject><subject>Retina</subject><subject>Retinoblastoma</subject><subject>Stomach Neoplasms - blood</subject><subject>Stomach Neoplasms - diagnosis</subject><subject>Stomach Neoplasms - pathology</subject><subject>Survival Analysis</subject><subject>Tumors</subject><subject>Urine</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkUtPGzEURq2qqDzaXdeVpW5YEPBjxmNvKtHwFFTNgq6tOx4PcTpjp7YD4t9jlIBCV76Sz_10jz6EvlJyzLkiJ24xJkYYq4VUH9AerRibECKaj1vzLtpPaUEI46xWn9Aup40QTIg9ZM_Ob_B1woBnIVufHQz4pwsjxL824tOUgnGQbYcfXZ7jXzC4ew8-49nc-pCflhY7jy8h5egMnoI3ZevOpbSyJdN3eDZAGuEz2ulhSPbL5j1Afy7O76ZXk9vfl9fT09uJqSjLk0aKmqquZ7JquTKU1LXsuWqBGUZVS7q-ooKaigB0jQHakoaRlnPeqroD0vED9GOdu1y1o-1MEYow6GV0RehJB3D6_Y93c30fHrSQUgrJSsDhJiCGf8Uh69ElY4cBvA2rpBmnsuFKibqg3_9DF2EVfdErFOeCkLoRhTpaUyaGlKLt346hRL_0p7f7K_i3bYE3-LUw_gw-8JZv</recordid><startdate>20191113</startdate><enddate>20191113</enddate><creator>Lee, Kam-Fai</creator><creator>Tsai, Ming-Ming</creator><creator>Tsai, Chung-Ying</creator><creator>Huang, Chung-Guei</creator><creator>Ou, Yu-Hsiang</creator><creator>Hsieh, Ching-Chuan</creator><creator>Hsieh, Hsi-Lung</creator><creator>Wang, Chia-Siu</creator><creator>Lin, Kwang-Huei</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8302-2472</orcidid><orcidid>https://orcid.org/0000-0002-4495-6616</orcidid><orcidid>https://orcid.org/0000-0002-5649-2222</orcidid></search><sort><creationdate>20191113</creationdate><title>DEK Is a Potential Biomarker Associated with Malignant Phenotype in Gastric Cancer Tissues and Plasma</title><author>Lee, Kam-Fai ; Tsai, Ming-Ming ; Tsai, Chung-Ying ; Huang, Chung-Guei ; Ou, Yu-Hsiang ; Hsieh, Ching-Chuan ; Hsieh, Hsi-Lung ; Wang, Chia-Siu ; Lin, Kwang-Huei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-786519df284b39c10558f39ba2c219b0df4161c40aad7ca1b0720b333b95da0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Acute myeloid leukemia</topic><topic>Adenocarcinoma</topic><topic>Aged</topic><topic>Antigens</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Bladder cancer</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cell Line, Tumor</topic><topic>Cell Movement</topic><topic>Cervical cancer</topic><topic>Chromosomal Proteins, Non-Histone - analysis</topic><topic>Chromosomal Proteins, Non-Histone - blood</topic><topic>Chronic lymphocytic leukemia</topic><topic>Colon</topic><topic>Colon cancer</topic><topic>Datasets</topic><topic>Female</topic><topic>Gastric cancer</topic><topic>Glioma</topic><topic>Hemopoietic system</topic><topic>Hepatocellular carcinoma</topic><topic>Humans</topic><topic>Leukemia</topic><topic>Lung cancer</topic><topic>Lymph nodes</topic><topic>Lymphatic leukemia</topic><topic>Lymphatic system</topic><topic>Lymphocytes T</topic><topic>Macrophages</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Melanoma</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Myeloid leukemia</topic><topic>Neoplasm Metastasis - diagnosis</topic><topic>Neoplasm Metastasis - pathology</topic><topic>Oncogene Proteins - analysis</topic><topic>Oncogene Proteins - blood</topic><topic>Oral squamous cell carcinoma</topic><topic>Pancreas</topic><topic>Peritoneal seeding</topic><topic>Peritoneum</topic><topic>Phenotypes</topic><topic>Poly-ADP-Ribose Binding Proteins - analysis</topic><topic>Poly-ADP-Ribose Binding Proteins - blood</topic><topic>Prognosis</topic><topic>Prostate cancer</topic><topic>Proteins</topic><topic>Retina</topic><topic>Retinoblastoma</topic><topic>Stomach Neoplasms - blood</topic><topic>Stomach Neoplasms - diagnosis</topic><topic>Stomach Neoplasms - pathology</topic><topic>Survival Analysis</topic><topic>Tumors</topic><topic>Urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kam-Fai</creatorcontrib><creatorcontrib>Tsai, Ming-Ming</creatorcontrib><creatorcontrib>Tsai, Chung-Ying</creatorcontrib><creatorcontrib>Huang, Chung-Guei</creatorcontrib><creatorcontrib>Ou, Yu-Hsiang</creatorcontrib><creatorcontrib>Hsieh, Ching-Chuan</creatorcontrib><creatorcontrib>Hsieh, Hsi-Lung</creatorcontrib><creatorcontrib>Wang, Chia-Siu</creatorcontrib><creatorcontrib>Lin, Kwang-Huei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Kam-Fai</au><au>Tsai, Ming-Ming</au><au>Tsai, Chung-Ying</au><au>Huang, Chung-Guei</au><au>Ou, Yu-Hsiang</au><au>Hsieh, Ching-Chuan</au><au>Hsieh, Hsi-Lung</au><au>Wang, Chia-Siu</au><au>Lin, Kwang-Huei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DEK Is a Potential Biomarker Associated with Malignant Phenotype in Gastric Cancer Tissues and Plasma</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2019-11-13</date><risdate>2019</risdate><volume>20</volume><issue>22</issue><spage>5689</spage><pages>5689-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Gastric cancer (GC) is the second most widespread cause of cancer-related mortality worldwide. The discovery of novel biomarkers of oncoproteins can facilitate the development of therapeutic strategies for GC treatment. In this study, we identified novel biomarkers by integrating isobaric tags for relative and absolute quantitation (iTRAQ), a human plasma proteome database, and public Oncomine datasets to search for aberrantly expressed oncogene-associated proteins in GC tissues and plasma. One of the most significantly upregulated biomarkers, DEK, was selected and its expression validated. Our immunohistochemistry (IHC) (
= 92) and quantitative real-time polymerase chain reaction (qRT-PCR) (
= 72) analyses disclosed a marked increase in DEK expression in tumor tissue, compared with paired nontumor mucosa. Importantly, significantly higher preoperative plasma DEK levels were detected in GC patients than in healthy controls via enzyme-linked immunosorbent assay (ELISA). In clinicopathological analysis, higher expression of DEK in both tissue and plasma was significantly associated with advanced stage and poorer survival outcomes of GC patients. Data from receiver operating characteristic (ROC) curve analysis disclosed a better diagnostic accuracy of plasma DEK than carcinoembryonic antigen (CEA), carbohydrate antigen 19.9 (CA 19.9), and C-reactive protein (CRP), highlighting its potential as an effective plasma biomarker for GC. Plasma DEK is also more sensitive in tumor detection than the other three biomarkers. Knockdown of DEK resulted in inhibition of GC cell migration via a mechanism involving modulation of matrix metalloproteinase MMP-2/MMP-9 level and vice versa. Our results collectively support plasma DEK as a useful biomarker for making diagnosis and prognosis of GC patients.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31766266</pmid><doi>10.3390/ijms20225689</doi><orcidid>https://orcid.org/0000-0001-8302-2472</orcidid><orcidid>https://orcid.org/0000-0002-4495-6616</orcidid><orcidid>https://orcid.org/0000-0002-5649-2222</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Acute myeloid leukemia Adenocarcinoma Aged Antigens Biomarkers Biomarkers, Tumor - analysis Bladder cancer Breast cancer Cancer Cell Line, Tumor Cell Movement Cervical cancer Chromosomal Proteins, Non-Histone - analysis Chromosomal Proteins, Non-Histone - blood Chronic lymphocytic leukemia Colon Colon cancer Datasets Female Gastric cancer Glioma Hemopoietic system Hepatocellular carcinoma Humans Leukemia Lung cancer Lymph nodes Lymphatic leukemia Lymphatic system Lymphocytes T Macrophages Male Medical prognosis Medical research Melanoma Metastases Metastasis Middle Aged Myeloid leukemia Neoplasm Metastasis - diagnosis Neoplasm Metastasis - pathology Oncogene Proteins - analysis Oncogene Proteins - blood Oral squamous cell carcinoma Pancreas Peritoneal seeding Peritoneum Phenotypes Poly-ADP-Ribose Binding Proteins - analysis Poly-ADP-Ribose Binding Proteins - blood Prognosis Prostate cancer Proteins Retina Retinoblastoma Stomach Neoplasms - blood Stomach Neoplasms - diagnosis Stomach Neoplasms - pathology Survival Analysis Tumors Urine |
title | DEK Is a Potential Biomarker Associated with Malignant Phenotype in Gastric Cancer Tissues and Plasma |
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