Loading…

Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival

Genome-wide association studies (GWASs) have identified several gastric cancer (GC) susceptibility loci in Asians, but their effects on disease outcome are still unknown. This study aimed to investigate whether these GWAS-identified genetic variants could serve as robust prognostic biomarkers for GC...

Full description

Saved in:
Bibliographic Details
Published in:EBioMedicine 2018-07, Vol.33, p.82-87
Main Authors: Gu, Dongying, Zheng, Rui, Xin, Junyi, Li, Shuwei, Chu, Haiyan, Gong, Weida, Qiang, Fulin, Zhang, Zhengdong, Wang, Meilin, Du, Mulong, Chen, Jinfei
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3
cites cdi_FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3
container_end_page 87
container_issue
container_start_page 82
container_title EBioMedicine
container_volume 33
creator Gu, Dongying
Zheng, Rui
Xin, Junyi
Li, Shuwei
Chu, Haiyan
Gong, Weida
Qiang, Fulin
Zhang, Zhengdong
Wang, Meilin
Du, Mulong
Chen, Jinfei
description Genome-wide association studies (GWASs) have identified several gastric cancer (GC) susceptibility loci in Asians, but their effects on disease outcome are still unknown. This study aimed to investigate whether these GWAS-identified genetic variants could serve as robust prognostic biomarkers for GC. A multistage clinical cohort, including a total of 2432 GC patients in the Chinese population, was used to identify the association between GWAS-identified risk variants and overall survival of GC. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed by Cox regression analysis, and the log-rank P was calculated by the log-rank test with the Kaplan-Meier method. We found that rs2274223 A>G in PLCE1 was associated with increased GC survival in both training set (P = .011), which was independently replicated in validation set 1 (P = .045), but not in validation set 2. The area under the curve (AUC) from receiver-operator characteristic (ROC) curve showed this clinical relevance with onset age-dependence, especially in the subgroup of early-onset cases. Moreover, a significant improvement in overall survival prediction was identified when the rs2274223 genetic effect was included in the estimation; this result was also supported by the prognostic nomogram. In addition, patients with lower expression of PLCE1 showed benefits via longer survival, potentially due to the functional effect of rs2274223. This preliminary study suggests that a GWAS-identified genetic variant in PLCE1 may serve as a potential biomarker for GC survival. Additional replication with larger samples size is warranted to further investigation.
doi_str_mv 10.1016/j.ebiom.2018.06.028
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6085567</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2352396418302342</els_id><sourcerecordid>2067129484</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3</originalsourceid><addsrcrecordid>eNp9UU1r3DAQFSWhCUl-QaH42ItdfdmWDy2EJdkmBHLYtD2KsTRqtXitRLIX8u-jZDchvRQGNIzevHm8R8gnRitGWfN1XWHvw6bilKmKNhXl6gM55qLmpegaefCuPyJnKa0ppayWeag-kiPedUoIqY7J9cUWhhkmH8YiuGL5-3xVXlkcJ-882mKJI07eFL8gehinVLgQiyWkKebhAkaDsVjNceszyyk5dDAkPNu_J-Tn5cXd4kd5c7u8WpzflEbW3VRa4NJkKVRwtAwtgOCGCieMU1Q2YKDmou_BONG2WaYxChiVLlcLyvbihHzf8d7P_QatyWIjDPo--g3ERx3A639_Rv9X_wlb3VBV102bCb7sCWJ4mDFNeuOTwWGAEcOcNKdNy3gnlcxQsYOaGFKK6N7OMKqfg9Br_RKEfg5C00bnIPLW5_cK33Zebc-AbzsAZp-2HqNOxmN20_qIZtI2-P8eeAJd95vP</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2067129484</pqid></control><display><type>article</type><title>Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival</title><source>PubMed (Medline)</source><source>Elsevier ScienceDirect Journals</source><creator>Gu, Dongying ; Zheng, Rui ; Xin, Junyi ; Li, Shuwei ; Chu, Haiyan ; Gong, Weida ; Qiang, Fulin ; Zhang, Zhengdong ; Wang, Meilin ; Du, Mulong ; Chen, Jinfei</creator><creatorcontrib>Gu, Dongying ; Zheng, Rui ; Xin, Junyi ; Li, Shuwei ; Chu, Haiyan ; Gong, Weida ; Qiang, Fulin ; Zhang, Zhengdong ; Wang, Meilin ; Du, Mulong ; Chen, Jinfei</creatorcontrib><description>Genome-wide association studies (GWASs) have identified several gastric cancer (GC) susceptibility loci in Asians, but their effects on disease outcome are still unknown. This study aimed to investigate whether these GWAS-identified genetic variants could serve as robust prognostic biomarkers for GC. A multistage clinical cohort, including a total of 2432 GC patients in the Chinese population, was used to identify the association between GWAS-identified risk variants and overall survival of GC. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed by Cox regression analysis, and the log-rank P was calculated by the log-rank test with the Kaplan-Meier method. We found that rs2274223 A&gt;G in PLCE1 was associated with increased GC survival in both training set (P = .011), which was independently replicated in validation set 1 (P = .045), but not in validation set 2. The area under the curve (AUC) from receiver-operator characteristic (ROC) curve showed this clinical relevance with onset age-dependence, especially in the subgroup of early-onset cases. Moreover, a significant improvement in overall survival prediction was identified when the rs2274223 genetic effect was included in the estimation; this result was also supported by the prognostic nomogram. In addition, patients with lower expression of PLCE1 showed benefits via longer survival, potentially due to the functional effect of rs2274223. This preliminary study suggests that a GWAS-identified genetic variant in PLCE1 may serve as a potential biomarker for GC survival. Additional replication with larger samples size is warranted to further investigation.</description><identifier>ISSN: 2352-3964</identifier><identifier>EISSN: 2352-3964</identifier><identifier>DOI: 10.1016/j.ebiom.2018.06.028</identifier><identifier>PMID: 29983348</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Gastric cancer ; Genetic variants ; GWAS ; Research Paper ; Survival</subject><ispartof>EBioMedicine, 2018-07, Vol.33, p.82-87</ispartof><rights>2018 The Authors</rights><rights>Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.</rights><rights>2018 The Authors 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3</citedby><cites>FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085567/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352396418302342$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,3536,27905,27906,45761,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29983348$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gu, Dongying</creatorcontrib><creatorcontrib>Zheng, Rui</creatorcontrib><creatorcontrib>Xin, Junyi</creatorcontrib><creatorcontrib>Li, Shuwei</creatorcontrib><creatorcontrib>Chu, Haiyan</creatorcontrib><creatorcontrib>Gong, Weida</creatorcontrib><creatorcontrib>Qiang, Fulin</creatorcontrib><creatorcontrib>Zhang, Zhengdong</creatorcontrib><creatorcontrib>Wang, Meilin</creatorcontrib><creatorcontrib>Du, Mulong</creatorcontrib><creatorcontrib>Chen, Jinfei</creatorcontrib><title>Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival</title><title>EBioMedicine</title><addtitle>EBioMedicine</addtitle><description>Genome-wide association studies (GWASs) have identified several gastric cancer (GC) susceptibility loci in Asians, but their effects on disease outcome are still unknown. This study aimed to investigate whether these GWAS-identified genetic variants could serve as robust prognostic biomarkers for GC. A multistage clinical cohort, including a total of 2432 GC patients in the Chinese population, was used to identify the association between GWAS-identified risk variants and overall survival of GC. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed by Cox regression analysis, and the log-rank P was calculated by the log-rank test with the Kaplan-Meier method. We found that rs2274223 A&gt;G in PLCE1 was associated with increased GC survival in both training set (P = .011), which was independently replicated in validation set 1 (P = .045), but not in validation set 2. The area under the curve (AUC) from receiver-operator characteristic (ROC) curve showed this clinical relevance with onset age-dependence, especially in the subgroup of early-onset cases. Moreover, a significant improvement in overall survival prediction was identified when the rs2274223 genetic effect was included in the estimation; this result was also supported by the prognostic nomogram. In addition, patients with lower expression of PLCE1 showed benefits via longer survival, potentially due to the functional effect of rs2274223. This preliminary study suggests that a GWAS-identified genetic variant in PLCE1 may serve as a potential biomarker for GC survival. Additional replication with larger samples size is warranted to further investigation.</description><subject>Gastric cancer</subject><subject>Genetic variants</subject><subject>GWAS</subject><subject>Research Paper</subject><subject>Survival</subject><issn>2352-3964</issn><issn>2352-3964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9UU1r3DAQFSWhCUl-QaH42ItdfdmWDy2EJdkmBHLYtD2KsTRqtXitRLIX8u-jZDchvRQGNIzevHm8R8gnRitGWfN1XWHvw6bilKmKNhXl6gM55qLmpegaefCuPyJnKa0ppayWeag-kiPedUoIqY7J9cUWhhkmH8YiuGL5-3xVXlkcJ-882mKJI07eFL8gehinVLgQiyWkKebhAkaDsVjNceszyyk5dDAkPNu_J-Tn5cXd4kd5c7u8WpzflEbW3VRa4NJkKVRwtAwtgOCGCieMU1Q2YKDmou_BONG2WaYxChiVLlcLyvbihHzf8d7P_QatyWIjDPo--g3ERx3A639_Rv9X_wlb3VBV102bCb7sCWJ4mDFNeuOTwWGAEcOcNKdNy3gnlcxQsYOaGFKK6N7OMKqfg9Br_RKEfg5C00bnIPLW5_cK33Zebc-AbzsAZp-2HqNOxmN20_qIZtI2-P8eeAJd95vP</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Gu, Dongying</creator><creator>Zheng, Rui</creator><creator>Xin, Junyi</creator><creator>Li, Shuwei</creator><creator>Chu, Haiyan</creator><creator>Gong, Weida</creator><creator>Qiang, Fulin</creator><creator>Zhang, Zhengdong</creator><creator>Wang, Meilin</creator><creator>Du, Mulong</creator><creator>Chen, Jinfei</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180701</creationdate><title>Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival</title><author>Gu, Dongying ; Zheng, Rui ; Xin, Junyi ; Li, Shuwei ; Chu, Haiyan ; Gong, Weida ; Qiang, Fulin ; Zhang, Zhengdong ; Wang, Meilin ; Du, Mulong ; Chen, Jinfei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Gastric cancer</topic><topic>Genetic variants</topic><topic>GWAS</topic><topic>Research Paper</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gu, Dongying</creatorcontrib><creatorcontrib>Zheng, Rui</creatorcontrib><creatorcontrib>Xin, Junyi</creatorcontrib><creatorcontrib>Li, Shuwei</creatorcontrib><creatorcontrib>Chu, Haiyan</creatorcontrib><creatorcontrib>Gong, Weida</creatorcontrib><creatorcontrib>Qiang, Fulin</creatorcontrib><creatorcontrib>Zhang, Zhengdong</creatorcontrib><creatorcontrib>Wang, Meilin</creatorcontrib><creatorcontrib>Du, Mulong</creatorcontrib><creatorcontrib>Chen, Jinfei</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>EBioMedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gu, Dongying</au><au>Zheng, Rui</au><au>Xin, Junyi</au><au>Li, Shuwei</au><au>Chu, Haiyan</au><au>Gong, Weida</au><au>Qiang, Fulin</au><au>Zhang, Zhengdong</au><au>Wang, Meilin</au><au>Du, Mulong</au><au>Chen, Jinfei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival</atitle><jtitle>EBioMedicine</jtitle><addtitle>EBioMedicine</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>33</volume><spage>82</spage><epage>87</epage><pages>82-87</pages><issn>2352-3964</issn><eissn>2352-3964</eissn><abstract>Genome-wide association studies (GWASs) have identified several gastric cancer (GC) susceptibility loci in Asians, but their effects on disease outcome are still unknown. This study aimed to investigate whether these GWAS-identified genetic variants could serve as robust prognostic biomarkers for GC. A multistage clinical cohort, including a total of 2432 GC patients in the Chinese population, was used to identify the association between GWAS-identified risk variants and overall survival of GC. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed by Cox regression analysis, and the log-rank P was calculated by the log-rank test with the Kaplan-Meier method. We found that rs2274223 A&gt;G in PLCE1 was associated with increased GC survival in both training set (P = .011), which was independently replicated in validation set 1 (P = .045), but not in validation set 2. The area under the curve (AUC) from receiver-operator characteristic (ROC) curve showed this clinical relevance with onset age-dependence, especially in the subgroup of early-onset cases. Moreover, a significant improvement in overall survival prediction was identified when the rs2274223 genetic effect was included in the estimation; this result was also supported by the prognostic nomogram. In addition, patients with lower expression of PLCE1 showed benefits via longer survival, potentially due to the functional effect of rs2274223. This preliminary study suggests that a GWAS-identified genetic variant in PLCE1 may serve as a potential biomarker for GC survival. Additional replication with larger samples size is warranted to further investigation.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>29983348</pmid><doi>10.1016/j.ebiom.2018.06.028</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2352-3964
ispartof EBioMedicine, 2018-07, Vol.33, p.82-87
issn 2352-3964
2352-3964
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6085567
source PubMed (Medline); Elsevier ScienceDirect Journals
subjects Gastric cancer
Genetic variants
GWAS
Research Paper
Survival
title Evaluation of GWAS-Identified Genetic Variants for Gastric Cancer Survival
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T16%3A28%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20GWAS-Identified%20Genetic%20Variants%20for%20Gastric%20Cancer%20Survival&rft.jtitle=EBioMedicine&rft.au=Gu,%20Dongying&rft.date=2018-07-01&rft.volume=33&rft.spage=82&rft.epage=87&rft.pages=82-87&rft.issn=2352-3964&rft.eissn=2352-3964&rft_id=info:doi/10.1016/j.ebiom.2018.06.028&rft_dat=%3Cproquest_pubme%3E2067129484%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c459t-da24c154032ed1edaa32c03f3cf8046aca523bbacf377983cc8a104f04f7a8db3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2067129484&rft_id=info:pmid/29983348&rfr_iscdi=true