Immune signature profiling identified prognostic factors for gastric cancer
Tumor microenvironment, especially the host immune system, plays a pivotal role in tumor initiation and progression. Profiling of immune signature within tumor might uncover biomarkers for targeted therapies and clinical outcomes. However, systematic analysis of immune-related genes in gastric cance...
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| Veröffentlicht in: | Chinese journal of cancer research 2019-06, Vol.31 (3), p.463-470 |
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| creator | Yang, Wenhui Lai, Zhiyong Li, Yuan Mu, Jianbing Yang, Mudan Xie, Jun Xu, Jun |
| description | Tumor microenvironment, especially the host immune system, plays a pivotal role in tumor initiation and progression. Profiling of immune signature within tumor might uncover biomarkers for targeted therapies and clinical outcomes. However, systematic analysis of immune-related genes in gastric cancer (GC) has not been reported.
Expressions of a total of 718 immune-related genes were generated in 372 stomach adenocarcinoma (STAD) patients from The Cancer Genome Atlas (TCGA) database using RNA-sequencing data. Integrated bioinformatics analyses were performed to identify prognostic factors as well.
Survival analyses revealed 73 genes, which were significantly associated with patient's overall survival (OS). Taken together with clinicopathological parameters, we established a predictive model, containing 10 immune-related genes, which were
,
,
,
,
,
,
,
,
and
, with powerful efficiency in distinguishing satisfactory or poor survival of STAD patients. Moreover, the top 3 ranked prognostic genes,
,
and
, were also significantly associated with patient's OS by an independent validation achieved from Kaplan-Meier plotter database.
We profiled prognostic immune signature and established prognostic predictive model for GC, which could reflect immune disorders within tumor microenvironment, and also may provide novel predictive and therapeutic targets for GC patients in the near future. |
| doi_str_mv | 10.21147/j.issn.1000-9604.2019.03.08 |
| format | Article |
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Expressions of a total of 718 immune-related genes were generated in 372 stomach adenocarcinoma (STAD) patients from The Cancer Genome Atlas (TCGA) database using RNA-sequencing data. Integrated bioinformatics analyses were performed to identify prognostic factors as well.
Survival analyses revealed 73 genes, which were significantly associated with patient's overall survival (OS). Taken together with clinicopathological parameters, we established a predictive model, containing 10 immune-related genes, which were
,
,
,
,
,
,
,
,
and
, with powerful efficiency in distinguishing satisfactory or poor survival of STAD patients. Moreover, the top 3 ranked prognostic genes,
,
and
, were also significantly associated with patient's OS by an independent validation achieved from Kaplan-Meier plotter database.
We profiled prognostic immune signature and established prognostic predictive model for GC, which could reflect immune disorders within tumor microenvironment, and also may provide novel predictive and therapeutic targets for GC patients in the near future.</description><identifier>ISSN: 1000-9604</identifier><identifier>EISSN: 1993-0631</identifier><identifier>DOI: 10.21147/j.issn.1000-9604.2019.03.08</identifier><identifier>PMID: 31354215</identifier><language>eng</language><publisher>China: Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</publisher><subject>Original</subject><ispartof>Chinese journal of cancer research, 2019-06, Vol.31 (3), p.463-470</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><rights>Copyright © 2019 Chinese Journal of Cancer Research. All rights reserved. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-ffdee2402a9b39c0f00299e7bdf2b1772e555f1b03c6800c2ab85c2f71e15f093</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zgazyj/zgazyj.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613504/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613504/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31354215$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Wenhui</creatorcontrib><creatorcontrib>Lai, Zhiyong</creatorcontrib><creatorcontrib>Li, Yuan</creatorcontrib><creatorcontrib>Mu, Jianbing</creatorcontrib><creatorcontrib>Yang, Mudan</creatorcontrib><creatorcontrib>Xie, Jun</creatorcontrib><creatorcontrib>Xu, Jun</creatorcontrib><creatorcontrib>Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan 030001, China</creatorcontrib><creatorcontrib>Department of Oncology, Renmin Hospital of Wuhan University, Wuhan 430060, China</creatorcontrib><creatorcontrib>Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville 20852, USA</creatorcontrib><creatorcontrib>Shanxi Provincial Cancer Hospital, Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan 030013, China</creatorcontrib><creatorcontrib>Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</creatorcontrib><title>Immune signature profiling identified prognostic factors for gastric cancer</title><title>Chinese journal of cancer research</title><addtitle>Chin J Cancer Res</addtitle><description>Tumor microenvironment, especially the host immune system, plays a pivotal role in tumor initiation and progression. Profiling of immune signature within tumor might uncover biomarkers for targeted therapies and clinical outcomes. However, systematic analysis of immune-related genes in gastric cancer (GC) has not been reported.
Expressions of a total of 718 immune-related genes were generated in 372 stomach adenocarcinoma (STAD) patients from The Cancer Genome Atlas (TCGA) database using RNA-sequencing data. Integrated bioinformatics analyses were performed to identify prognostic factors as well.
Survival analyses revealed 73 genes, which were significantly associated with patient's overall survival (OS). Taken together with clinicopathological parameters, we established a predictive model, containing 10 immune-related genes, which were
,
,
,
,
,
,
,
,
and
, with powerful efficiency in distinguishing satisfactory or poor survival of STAD patients. Moreover, the top 3 ranked prognostic genes,
,
and
, were also significantly associated with patient's OS by an independent validation achieved from Kaplan-Meier plotter database.
We profiled prognostic immune signature and established prognostic predictive model for GC, which could reflect immune disorders within tumor microenvironment, and also may provide novel predictive and therapeutic targets for GC patients in the near future.</description><subject>Original</subject><issn>1000-9604</issn><issn>1993-0631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpVUUtr3jAQFKWlebR_ofgQaC92V5JlW1AKIeRFA72050WWJVfGlr5Idkry62vnS0J60rI7mpndIeSEQsEoLeuvQ-FS8gUFgFxWUBYMqCyAF9C8IYdUSp5DxenbtX6GHJCjlAYAUQug78kBp1yUjIpD8uN6mhZvsuR6r-YlmmwXg3Wj833mOuNnZ53ptmbvQ5qdzqzSc4gpsyFmvUpzXHtaeW3iB_LOqjGZj0_vMfl9cf7r7Cq_-Xl5fXZ6k2suyzm3tjOGlcCUbLnUYAGYlKZuO8taWtfMCCEsbYHrqgHQTLWN0MzW1FBhQfJj8n3Pu1vayXR6dRnViLvoJhXvMSiH_0-8-4N9uMOqWveGciX4vCf4q7xVvschLNGvlvGhVw_3w3ZQ4ADNivzyJBXD7WLSjJNL2oyj8iYsCRmrKi5ow2CFfttDdQwpRWNfDFHAx-RwwC053GLBLRbchBA4Pip9er3Uy-fnqPg_5OmYlQ</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Yang, Wenhui</creator><creator>Lai, Zhiyong</creator><creator>Li, Yuan</creator><creator>Mu, Jianbing</creator><creator>Yang, Mudan</creator><creator>Xie, Jun</creator><creator>Xu, Jun</creator><general>Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</general><general>Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan 030001, China%Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China%Department of Oncology, Renmin Hospital of Wuhan University, Wuhan 430060, China%Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville 20852,USA%Shanxi Provincial Cancer Hospital, Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan 030013, China%Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan 030001, China</general><general>AME Publishing Company</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><scope>5PM</scope></search><sort><creationdate>20190601</creationdate><title>Immune signature profiling identified prognostic factors for gastric cancer</title><author>Yang, Wenhui ; Lai, Zhiyong ; Li, Yuan ; Mu, Jianbing ; Yang, Mudan ; Xie, Jun ; Xu, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-ffdee2402a9b39c0f00299e7bdf2b1772e555f1b03c6800c2ab85c2f71e15f093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Wenhui</creatorcontrib><creatorcontrib>Lai, Zhiyong</creatorcontrib><creatorcontrib>Li, Yuan</creatorcontrib><creatorcontrib>Mu, Jianbing</creatorcontrib><creatorcontrib>Yang, Mudan</creatorcontrib><creatorcontrib>Xie, Jun</creatorcontrib><creatorcontrib>Xu, Jun</creatorcontrib><creatorcontrib>Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan 030001, China</creatorcontrib><creatorcontrib>Department of Oncology, Renmin Hospital of Wuhan University, Wuhan 430060, China</creatorcontrib><creatorcontrib>Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville 20852, USA</creatorcontrib><creatorcontrib>Shanxi Provincial Cancer Hospital, Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan 030013, China</creatorcontrib><creatorcontrib>Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chinese journal of cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Wenhui</au><au>Lai, Zhiyong</au><au>Li, Yuan</au><au>Mu, Jianbing</au><au>Yang, Mudan</au><au>Xie, Jun</au><au>Xu, Jun</au><aucorp>Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan 030001, China</aucorp><aucorp>Department of Oncology, Renmin Hospital of Wuhan University, Wuhan 430060, China</aucorp><aucorp>Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville 20852, USA</aucorp><aucorp>Shanxi Provincial Cancer Hospital, Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan 030013, China</aucorp><aucorp>Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Immune signature profiling identified prognostic factors for gastric cancer</atitle><jtitle>Chinese journal of cancer research</jtitle><addtitle>Chin J Cancer Res</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>31</volume><issue>3</issue><spage>463</spage><epage>470</epage><pages>463-470</pages><issn>1000-9604</issn><eissn>1993-0631</eissn><abstract>Tumor microenvironment, especially the host immune system, plays a pivotal role in tumor initiation and progression. Profiling of immune signature within tumor might uncover biomarkers for targeted therapies and clinical outcomes. However, systematic analysis of immune-related genes in gastric cancer (GC) has not been reported.
Expressions of a total of 718 immune-related genes were generated in 372 stomach adenocarcinoma (STAD) patients from The Cancer Genome Atlas (TCGA) database using RNA-sequencing data. Integrated bioinformatics analyses were performed to identify prognostic factors as well.
Survival analyses revealed 73 genes, which were significantly associated with patient's overall survival (OS). Taken together with clinicopathological parameters, we established a predictive model, containing 10 immune-related genes, which were
,
,
,
,
,
,
,
,
and
, with powerful efficiency in distinguishing satisfactory or poor survival of STAD patients. Moreover, the top 3 ranked prognostic genes,
,
and
, were also significantly associated with patient's OS by an independent validation achieved from Kaplan-Meier plotter database.
We profiled prognostic immune signature and established prognostic predictive model for GC, which could reflect immune disorders within tumor microenvironment, and also may provide novel predictive and therapeutic targets for GC patients in the near future.</abstract><cop>China</cop><pub>Shanxi Academy of Medical Sciences, Shanxi Dayi Hospital, Taiyuan 030032, China</pub><pmid>31354215</pmid><doi>10.21147/j.issn.1000-9604.2019.03.08</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Original |
| title | Immune signature profiling identified prognostic factors for gastric cancer |
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