Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer
Gastric cancer (GC) is the one of the most common types of cancer in Asia. To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gast...
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Veröffentlicht in: | International journal of oncology 2011-02, Vol.38 (2), p.375-383 |
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creator | Bai, Zhigang Ye, Yingjiang Liang, Bin Xu, Feng Zhang, Hui Zhang, Yanbin Peng, Jiarou Shen, Danhua Cui, Zhirong Zhang, Zhongtao Wang, Shan |
description | Gastric cancer (GC) is the one of the most common types of cancer in Asia. To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gastric mucosa of 8 GC patients. Comparative proteomic analysis, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), revealed that 32 protein spots showed a >2-fold difference in intensity between tumor and normal tissues. Twenty-six proteins were up-regulated and 6 proteins were down-regulated in tumor tissue compared to control. Western blot analysis confirmed differential expression for 9 proteins, including AGR2, ENO1, GDI2, GRP78, GRP94, PPIA, PRDX1, PTEN and VDAC1. Immunohistochemical staining of a tissue microarray, derived from 145 GC patients, with antibodies for each of the 9 proteins demonstrated a significant association between the level of protein immunostaining and the clinical features of the disease in the donor. The identified proteins were functionally classified using bioinformatics methods, showing that the 9 proteins identified were related to BCL2, BAX, ERBB2 and CASP3 proteins and involved in the process of apoptosis. These proteomic data provide potentially valuable insights into both the biology of GC and the identity of biomarkers for tumor progression. We propose ENO1, GRP78, GRP94, PPIA, PRDX1 and PTEN as potential GC biomarkers. |
doi_str_mv | 10.3892/ijo.2010.873 |
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To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gastric mucosa of 8 GC patients. Comparative proteomic analysis, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), revealed that 32 protein spots showed a >2-fold difference in intensity between tumor and normal tissues. Twenty-six proteins were up-regulated and 6 proteins were down-regulated in tumor tissue compared to control. Western blot analysis confirmed differential expression for 9 proteins, including AGR2, ENO1, GDI2, GRP78, GRP94, PPIA, PRDX1, PTEN and VDAC1. Immunohistochemical staining of a tissue microarray, derived from 145 GC patients, with antibodies for each of the 9 proteins demonstrated a significant association between the level of protein immunostaining and the clinical features of the disease in the donor. The identified proteins were functionally classified using bioinformatics methods, showing that the 9 proteins identified were related to BCL2, BAX, ERBB2 and CASP3 proteins and involved in the process of apoptosis. These proteomic data provide potentially valuable insights into both the biology of GC and the identity of biomarkers for tumor progression. We propose ENO1, GRP78, GRP94, PPIA, PRDX1 and PTEN as potential GC biomarkers.</description><identifier>ISSN: 1019-6439</identifier><identifier>EISSN: 1791-2423</identifier><identifier>DOI: 10.3892/ijo.2010.873</identifier><identifier>PMID: 21165559</identifier><language>eng</language><publisher>Athens: Editorial Academy of the International Journal of Oncology</publisher><subject>Adult ; Aged ; Apoptosis ; Apoptosis Regulatory Proteins - metabolism ; Biological and medical sciences ; Biomarkers, Tumor - metabolism ; Blotting, Western ; Electrophoresis, Gel, Two-Dimensional ; Female ; Gastric Mucosa - metabolism ; Gastroenterology. Liver. Pancreas. Abdomen ; Humans ; Immunoenzyme Techniques ; Male ; Medical sciences ; Middle Aged ; Neoplasm Proteins - metabolism ; Proteomics ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; Stomach Neoplasms - metabolism ; Stomach Neoplasms - pathology ; Stomach. Duodenum. Small intestine. Colon. Rectum. Anus ; Tissue Array Analysis ; Tumors</subject><ispartof>International journal of oncology, 2011-02, Vol.38 (2), p.375-383</ispartof><rights>2015 INIST-CNRS</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-49c188c1d8ee7b243fc9d45a3e0bd5e5720020a6a8e71db70128dd4825057c803</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23747201$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21165559$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bai, Zhigang</creatorcontrib><creatorcontrib>Ye, Yingjiang</creatorcontrib><creatorcontrib>Liang, Bin</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Zhang, Yanbin</creatorcontrib><creatorcontrib>Peng, Jiarou</creatorcontrib><creatorcontrib>Shen, Danhua</creatorcontrib><creatorcontrib>Cui, Zhirong</creatorcontrib><creatorcontrib>Zhang, Zhongtao</creatorcontrib><creatorcontrib>Wang, Shan</creatorcontrib><title>Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer</title><title>International journal of oncology</title><addtitle>Int J Oncol</addtitle><description>Gastric cancer (GC) is the one of the most common types of cancer in Asia. To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gastric mucosa of 8 GC patients. Comparative proteomic analysis, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), revealed that 32 protein spots showed a >2-fold difference in intensity between tumor and normal tissues. Twenty-six proteins were up-regulated and 6 proteins were down-regulated in tumor tissue compared to control. Western blot analysis confirmed differential expression for 9 proteins, including AGR2, ENO1, GDI2, GRP78, GRP94, PPIA, PRDX1, PTEN and VDAC1. Immunohistochemical staining of a tissue microarray, derived from 145 GC patients, with antibodies for each of the 9 proteins demonstrated a significant association between the level of protein immunostaining and the clinical features of the disease in the donor. The identified proteins were functionally classified using bioinformatics methods, showing that the 9 proteins identified were related to BCL2, BAX, ERBB2 and CASP3 proteins and involved in the process of apoptosis. These proteomic data provide potentially valuable insights into both the biology of GC and the identity of biomarkers for tumor progression. We propose ENO1, GRP78, GRP94, PPIA, PRDX1 and PTEN as potential GC biomarkers.</description><subject>Adult</subject><subject>Aged</subject><subject>Apoptosis</subject><subject>Apoptosis Regulatory Proteins - metabolism</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Blotting, Western</subject><subject>Electrophoresis, Gel, Two-Dimensional</subject><subject>Female</subject><subject>Gastric Mucosa - metabolism</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Humans</subject><subject>Immunoenzyme Techniques</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neoplasm Proteins - metabolism</subject><subject>Proteomics</subject><subject>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</subject><subject>Stomach Neoplasms - metabolism</subject><subject>Stomach Neoplasms - pathology</subject><subject>Stomach. Duodenum. Small intestine. Colon. Rectum. 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Liver. Pancreas. Abdomen</topic><topic>Humans</topic><topic>Immunoenzyme Techniques</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neoplasm Proteins - metabolism</topic><topic>Proteomics</topic><topic>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</topic><topic>Stomach Neoplasms - metabolism</topic><topic>Stomach Neoplasms - pathology</topic><topic>Stomach. Duodenum. Small intestine. Colon. Rectum. Anus</topic><topic>Tissue Array Analysis</topic><topic>Tumors</topic><toplevel>online_resources</toplevel><creatorcontrib>Bai, Zhigang</creatorcontrib><creatorcontrib>Ye, Yingjiang</creatorcontrib><creatorcontrib>Liang, Bin</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Zhang, Yanbin</creatorcontrib><creatorcontrib>Peng, Jiarou</creatorcontrib><creatorcontrib>Shen, Danhua</creatorcontrib><creatorcontrib>Cui, Zhirong</creatorcontrib><creatorcontrib>Zhang, Zhongtao</creatorcontrib><creatorcontrib>Wang, Shan</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>International journal of oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bai, Zhigang</au><au>Ye, Yingjiang</au><au>Liang, Bin</au><au>Xu, Feng</au><au>Zhang, Hui</au><au>Zhang, Yanbin</au><au>Peng, Jiarou</au><au>Shen, Danhua</au><au>Cui, Zhirong</au><au>Zhang, Zhongtao</au><au>Wang, Shan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer</atitle><jtitle>International journal of oncology</jtitle><addtitle>Int J Oncol</addtitle><date>2011-02-01</date><risdate>2011</risdate><volume>38</volume><issue>2</issue><spage>375</spage><epage>383</epage><pages>375-383</pages><issn>1019-6439</issn><eissn>1791-2423</eissn><abstract>Gastric cancer (GC) is the one of the most common types of cancer in Asia. To better understand the molecular mechanisms underlying GC, and to seek new markers of tumor progression, we used a proteomics strategy to analyze the protein expression patterns in matched pairs of GC tissue and normal gastric mucosa of 8 GC patients. Comparative proteomic analysis, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), revealed that 32 protein spots showed a >2-fold difference in intensity between tumor and normal tissues. Twenty-six proteins were up-regulated and 6 proteins were down-regulated in tumor tissue compared to control. Western blot analysis confirmed differential expression for 9 proteins, including AGR2, ENO1, GDI2, GRP78, GRP94, PPIA, PRDX1, PTEN and VDAC1. Immunohistochemical staining of a tissue microarray, derived from 145 GC patients, with antibodies for each of the 9 proteins demonstrated a significant association between the level of protein immunostaining and the clinical features of the disease in the donor. The identified proteins were functionally classified using bioinformatics methods, showing that the 9 proteins identified were related to BCL2, BAX, ERBB2 and CASP3 proteins and involved in the process of apoptosis. These proteomic data provide potentially valuable insights into both the biology of GC and the identity of biomarkers for tumor progression. We propose ENO1, GRP78, GRP94, PPIA, PRDX1 and PTEN as potential GC biomarkers.</abstract><cop>Athens</cop><pub>Editorial Academy of the International Journal of Oncology</pub><pmid>21165559</pmid><doi>10.3892/ijo.2010.873</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Apoptosis Apoptosis Regulatory Proteins - metabolism Biological and medical sciences Biomarkers, Tumor - metabolism Blotting, Western Electrophoresis, Gel, Two-Dimensional Female Gastric Mucosa - metabolism Gastroenterology. Liver. Pancreas. Abdomen Humans Immunoenzyme Techniques Male Medical sciences Middle Aged Neoplasm Proteins - metabolism Proteomics Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Stomach Neoplasms - metabolism Stomach Neoplasms - pathology Stomach. Duodenum. Small intestine. Colon. Rectum. Anus Tissue Array Analysis Tumors |
title | Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer |
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