Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer
We postulated that expression differences of autophagy-related genes are instrumental in stratifying the risk of early relapse after surgery and evaluating the prognosis of patients with stages I-III colon cancer. Therefore, propensity score matching analysis was performed between patients in early...
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Veröffentlicht in: | Carcinogenesis (New York) 2019-07, Vol.40 (7), p.861-870 |
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description | We postulated that expression differences of autophagy-related genes are instrumental in stratifying the risk of early relapse after surgery and evaluating the prognosis of patients with stages I-III colon cancer. Therefore, propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 test series and internal validation series. Using Cox regression model, a nine-autophagy-related signature (CAPN2, ATG16L2, TP63, SIRT1, RPS6KB1, PEX3, ATG5, UVRAG, NAF1) was established to classify patients into those at high risk of early relapse (high-risk group), and those at low risk of early relapse (low-risk group). Relapse-free survival (RFS) was significantly different between the two groups in test [hazard ratio (HR): 2.019, 95% confidence interval (CI): 1.362-2.992, P < 0.001], internal validation (HR: 2.464, 95% CI: 1.196-5.079, P < 0.001) and another two external validation series (GSE14333-HR: 2.250, 95% CI: 1.227-4.126, P = 0.007; GSE33113-HR: 5.552, 95% CI: 2.098-14.693, P < 0.001). Then, based on RFS, we developed a nomogram, integrating the nine-autophagy-related classifier and four clinicopathological risk factors to evaluate prognosis of stages I-III colon cancer patients. Time-dependent receiver operating curve at 2 years showed that the integrated signature (area under curve = 0.758) had better prognostic accuracy than American Joint Committee on Cancer TNM stage (area under curve = 0.620). In conclusion, we identified and built a nine-autophagy-related signature, a credible approach to early relapse prediction in stages I-III colon cancer patients, which can assist physicians in devising more efficient therapeutic strategies. |
doi_str_mv | 10.1093/carcin/bgz031 |
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Therefore, propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 test series and internal validation series. Using Cox regression model, a nine-autophagy-related signature (CAPN2, ATG16L2, TP63, SIRT1, RPS6KB1, PEX3, ATG5, UVRAG, NAF1) was established to classify patients into those at high risk of early relapse (high-risk group), and those at low risk of early relapse (low-risk group). Relapse-free survival (RFS) was significantly different between the two groups in test [hazard ratio (HR): 2.019, 95% confidence interval (CI): 1.362-2.992, P < 0.001], internal validation (HR: 2.464, 95% CI: 1.196-5.079, P < 0.001) and another two external validation series (GSE14333-HR: 2.250, 95% CI: 1.227-4.126, P = 0.007; GSE33113-HR: 5.552, 95% CI: 2.098-14.693, P < 0.001). Then, based on RFS, we developed a nomogram, integrating the nine-autophagy-related classifier and four clinicopathological risk factors to evaluate prognosis of stages I-III colon cancer patients. Time-dependent receiver operating curve at 2 years showed that the integrated signature (area under curve = 0.758) had better prognostic accuracy than American Joint Committee on Cancer TNM stage (area under curve = 0.620). In conclusion, we identified and built a nine-autophagy-related signature, a credible approach to early relapse prediction in stages I-III colon cancer patients, which can assist physicians in devising more efficient therapeutic strategies.</description><identifier>ISSN: 0143-3334</identifier><identifier>EISSN: 1460-2180</identifier><identifier>DOI: 10.1093/carcin/bgz031</identifier><identifier>PMID: 30933267</identifier><language>eng</language><publisher>England</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Autophagy - genetics ; Biomarkers, Tumor - genetics ; Colectomy ; Colonic Neoplasms - genetics ; Colonic Neoplasms - mortality ; Colonic Neoplasms - pathology ; Colonic Neoplasms - surgery ; Datasets as Topic ; Disease-Free Survival ; Female ; Follow-Up Studies ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Neoplasm Recurrence, Local - diagnosis ; Neoplasm Recurrence, Local - epidemiology ; Neoplasm Recurrence, Local - genetics ; Neoplasm Recurrence, Local - prevention & control ; Neoplasm Staging ; Nomograms ; Predictive Value of Tests ; Risk Factors ; ROC Curve ; Tissue Array Analysis ; Transcriptome - genetics ; Young Adult</subject><ispartof>Carcinogenesis (New York), 2019-07, Vol.40 (7), p.861-870</ispartof><rights>The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-90725762460b59344a7d94267c445335b69286281fda7a1301b12d5f6fbace263</citedby><cites>FETCH-LOGICAL-c293t-90725762460b59344a7d94267c445335b69286281fda7a1301b12d5f6fbace263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30933267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mo, Shaobo</creatorcontrib><creatorcontrib>Dai, Weixing</creatorcontrib><creatorcontrib>Xiang, Wenqiang</creatorcontrib><creatorcontrib>Li, Yaqi</creatorcontrib><creatorcontrib>Feng, Yang</creatorcontrib><creatorcontrib>Zhang, Long</creatorcontrib><creatorcontrib>Li, Qingguo</creatorcontrib><creatorcontrib>Cai, Guoxiang</creatorcontrib><title>Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer</title><title>Carcinogenesis (New York)</title><addtitle>Carcinogenesis</addtitle><description>We postulated that expression differences of autophagy-related genes are instrumental in stratifying the risk of early relapse after surgery and evaluating the prognosis of patients with stages I-III colon cancer. Therefore, propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 test series and internal validation series. Using Cox regression model, a nine-autophagy-related signature (CAPN2, ATG16L2, TP63, SIRT1, RPS6KB1, PEX3, ATG5, UVRAG, NAF1) was established to classify patients into those at high risk of early relapse (high-risk group), and those at low risk of early relapse (low-risk group). Relapse-free survival (RFS) was significantly different between the two groups in test [hazard ratio (HR): 2.019, 95% confidence interval (CI): 1.362-2.992, P < 0.001], internal validation (HR: 2.464, 95% CI: 1.196-5.079, P < 0.001) and another two external validation series (GSE14333-HR: 2.250, 95% CI: 1.227-4.126, P = 0.007; GSE33113-HR: 5.552, 95% CI: 2.098-14.693, P < 0.001). Then, based on RFS, we developed a nomogram, integrating the nine-autophagy-related classifier and four clinicopathological risk factors to evaluate prognosis of stages I-III colon cancer patients. Time-dependent receiver operating curve at 2 years showed that the integrated signature (area under curve = 0.758) had better prognostic accuracy than American Joint Committee on Cancer TNM stage (area under curve = 0.620). In conclusion, we identified and built a nine-autophagy-related signature, a credible approach to early relapse prediction in stages I-III colon cancer patients, which can assist physicians in devising more efficient therapeutic strategies.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Autophagy - genetics</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Colectomy</subject><subject>Colonic Neoplasms - genetics</subject><subject>Colonic Neoplasms - mortality</subject><subject>Colonic Neoplasms - pathology</subject><subject>Colonic Neoplasms - surgery</subject><subject>Datasets as Topic</subject><subject>Disease-Free Survival</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Humans</subject><subject>Kaplan-Meier Estimate</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasm Recurrence, Local - diagnosis</subject><subject>Neoplasm Recurrence, Local - epidemiology</subject><subject>Neoplasm Recurrence, Local - genetics</subject><subject>Neoplasm Recurrence, Local - prevention & control</subject><subject>Neoplasm Staging</subject><subject>Nomograms</subject><subject>Predictive Value of Tests</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Tissue Array Analysis</subject><subject>Transcriptome - genetics</subject><subject>Young Adult</subject><issn>0143-3334</issn><issn>1460-2180</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kE1PwzAMhiMEYmNw5IryB8KSOE3XI5r4qDQJDnCu3DQtRV1TJemk8evpVOBkyX5s-X0IuRX8XvAM1ga9aft12XxzEGdkKZTmTIoNPydLLhQwAFALchXCF-dCQ5JdkgVMmyB1uiTDm3dN70JsDcW-ooO3VWtie7D0gN1oqaunPsUxuuETmyPztsNoKxrapsc4ektr56lF3x3paTYES9uehoiNDTRneZ5T4zrXU4O9sf6aXNTYBXvzW1fk4-nxffvCdq_P-fZhx4zMILKMpzJJtZzSlEkGSmFaZWp62SiVACSlzuRGy42oK0xRABelkFVS67pEY6WGFWHzXeNdCN7WxeDbPfpjIXhxMlfM5orZ3MTfzfwwlntb_dN_quAHQT5r_A</recordid><startdate>20190720</startdate><enddate>20190720</enddate><creator>Mo, Shaobo</creator><creator>Dai, Weixing</creator><creator>Xiang, Wenqiang</creator><creator>Li, Yaqi</creator><creator>Feng, Yang</creator><creator>Zhang, Long</creator><creator>Li, Qingguo</creator><creator>Cai, Guoxiang</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190720</creationdate><title>Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer</title><author>Mo, Shaobo ; Dai, Weixing ; Xiang, Wenqiang ; Li, Yaqi ; Feng, Yang ; Zhang, Long ; Li, Qingguo ; Cai, Guoxiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-90725762460b59344a7d94267c445335b69286281fda7a1301b12d5f6fbace263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Autophagy - genetics</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Colectomy</topic><topic>Colonic Neoplasms - genetics</topic><topic>Colonic Neoplasms - mortality</topic><topic>Colonic Neoplasms - pathology</topic><topic>Colonic Neoplasms - surgery</topic><topic>Datasets as Topic</topic><topic>Disease-Free Survival</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Humans</topic><topic>Kaplan-Meier Estimate</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasm Recurrence, Local - diagnosis</topic><topic>Neoplasm Recurrence, Local - epidemiology</topic><topic>Neoplasm Recurrence, Local - genetics</topic><topic>Neoplasm Recurrence, Local - prevention & control</topic><topic>Neoplasm Staging</topic><topic>Nomograms</topic><topic>Predictive Value of Tests</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Tissue Array Analysis</topic><topic>Transcriptome - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mo, Shaobo</creatorcontrib><creatorcontrib>Dai, Weixing</creatorcontrib><creatorcontrib>Xiang, Wenqiang</creatorcontrib><creatorcontrib>Li, Yaqi</creatorcontrib><creatorcontrib>Feng, Yang</creatorcontrib><creatorcontrib>Zhang, Long</creatorcontrib><creatorcontrib>Li, Qingguo</creatorcontrib><creatorcontrib>Cai, Guoxiang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Carcinogenesis (New York)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mo, Shaobo</au><au>Dai, Weixing</au><au>Xiang, Wenqiang</au><au>Li, Yaqi</au><au>Feng, Yang</au><au>Zhang, Long</au><au>Li, Qingguo</au><au>Cai, Guoxiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer</atitle><jtitle>Carcinogenesis (New York)</jtitle><addtitle>Carcinogenesis</addtitle><date>2019-07-20</date><risdate>2019</risdate><volume>40</volume><issue>7</issue><spage>861</spage><epage>870</epage><pages>861-870</pages><issn>0143-3334</issn><eissn>1460-2180</eissn><abstract>We postulated that expression differences of autophagy-related genes are instrumental in stratifying the risk of early relapse after surgery and evaluating the prognosis of patients with stages I-III colon cancer. Therefore, propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 test series and internal validation series. Using Cox regression model, a nine-autophagy-related signature (CAPN2, ATG16L2, TP63, SIRT1, RPS6KB1, PEX3, ATG5, UVRAG, NAF1) was established to classify patients into those at high risk of early relapse (high-risk group), and those at low risk of early relapse (low-risk group). Relapse-free survival (RFS) was significantly different between the two groups in test [hazard ratio (HR): 2.019, 95% confidence interval (CI): 1.362-2.992, P < 0.001], internal validation (HR: 2.464, 95% CI: 1.196-5.079, P < 0.001) and another two external validation series (GSE14333-HR: 2.250, 95% CI: 1.227-4.126, P = 0.007; GSE33113-HR: 5.552, 95% CI: 2.098-14.693, P < 0.001). Then, based on RFS, we developed a nomogram, integrating the nine-autophagy-related classifier and four clinicopathological risk factors to evaluate prognosis of stages I-III colon cancer patients. Time-dependent receiver operating curve at 2 years showed that the integrated signature (area under curve = 0.758) had better prognostic accuracy than American Joint Committee on Cancer TNM stage (area under curve = 0.620). In conclusion, we identified and built a nine-autophagy-related signature, a credible approach to early relapse prediction in stages I-III colon cancer patients, which can assist physicians in devising more efficient therapeutic strategies.</abstract><cop>England</cop><pmid>30933267</pmid><doi>10.1093/carcin/bgz031</doi><tpages>10</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Autophagy - genetics Biomarkers, Tumor - genetics Colectomy Colonic Neoplasms - genetics Colonic Neoplasms - mortality Colonic Neoplasms - pathology Colonic Neoplasms - surgery Datasets as Topic Disease-Free Survival Female Follow-Up Studies Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Kaplan-Meier Estimate Male Middle Aged Neoplasm Recurrence, Local - diagnosis Neoplasm Recurrence, Local - epidemiology Neoplasm Recurrence, Local - genetics Neoplasm Recurrence, Local - prevention & control Neoplasm Staging Nomograms Predictive Value of Tests Risk Factors ROC Curve Tissue Array Analysis Transcriptome - genetics Young Adult |
title | Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer |
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