A robust gene signature for the prediction of early relapse in stage I–III colon cancer
Colon cancer patients experiencing early relapse consistently exhibited poor survival. The aim of our study was to develop an mRNA signature that can help to detect early relapse cases in stage I–III colon cancer. Public microarray datasets of stage I–III colon cancer samples were extracted from the...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-04-01
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| Series: | Molecular Oncology |
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| Online Access: | https://doi.org/10.1002/1878-0261.12175 |
| _version_ | 1828824900127686656 |
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| author | Weixing Dai Yaqi Li Shaobo Mo Yang Feng Long Zhang Ye Xu Qingguo Li Guoxiang Cai |
| author_facet | Weixing Dai Yaqi Li Shaobo Mo Yang Feng Long Zhang Ye Xu Qingguo Li Guoxiang Cai |
| author_sort | Weixing Dai |
| collection | DOAJ |
| description | Colon cancer patients experiencing early relapse consistently exhibited poor survival. The aim of our study was to develop an mRNA signature that can help to detect early relapse cases in stage I–III colon cancer. Public microarray datasets of stage I–III colon cancer samples were extracted from the Gene Expression Omnibus database. Propensity score matching analysis was performed between patients in the early relapse group and the long‐term survival group from GSE39582 discovery series (N = 386), and patients were 1 : 1 matched. Global mRNA expression changes were then analyzed between the paired groups to identify the differentially expressed genes. Lasso Cox regression modeling analysis was conducted for the selection of prognostic mRNA. Fifteen mRNA were finally identified to build an early relapse classifier. With specific risk score formula, patients were classified into a high‐risk group and a low‐risk group. Relapse‐free survival was significantly different between the two groups in every series, including discovery [hazard ratio (HR): 2.547, 95% confidence interval (CI): 1.708–3.797, P < 0.001)], internal validation (HR: 5.146, 95% CI: 1.968–13.457, P < 0.001), and external validation (HR: 1.977, 95% CI: 1.295–3.021, P < 0.001) sets of patients. Time‐dependent receiver‐operating characteristic at 1 year suggested more prognostic accuracy of the classifier [area under curve (AUC = 0.703)] than the American Joint Commission on Cancer tumor–node–metastasis staging system (AUC = 0.659) in all 951 patients. In conclusion, we developed a robust mRNA signature that can effectively classify colon cancer patients into groups with low and high risks of early relapse. This mRNA signature may help select high‐risk colon cancer patients who require more aggressive therapeutic intervention. |
| first_indexed | 2024-12-12T14:07:02Z |
| format | Article |
| id | doaj.art-6ce7351ae67340e8ba2aee97a4a0b84f |
| institution | Directory Open Access Journal |
| issn | 1574-7891 1878-0261 |
| language | English |
| last_indexed | 2024-12-12T14:07:02Z |
| publishDate | 2018-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Molecular Oncology |
| spelling | doaj.art-6ce7351ae67340e8ba2aee97a4a0b84f2022-12-22T00:22:11ZengWileyMolecular Oncology1574-78911878-02612018-04-0112446347510.1002/1878-0261.12175A robust gene signature for the prediction of early relapse in stage I–III colon cancerWeixing Dai0Yaqi Li1Shaobo Mo2Yang Feng3Long Zhang4Ye Xu5Qingguo Li6Guoxiang Cai7Department of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaShanghai Medical College Collaborative Innovation Center of Cancer Medicine Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaDepartment of Colorectal Surgery Fudan University Shanghai Cancer Center ChinaColon cancer patients experiencing early relapse consistently exhibited poor survival. The aim of our study was to develop an mRNA signature that can help to detect early relapse cases in stage I–III colon cancer. Public microarray datasets of stage I–III colon cancer samples were extracted from the Gene Expression Omnibus database. Propensity score matching analysis was performed between patients in the early relapse group and the long‐term survival group from GSE39582 discovery series (N = 386), and patients were 1 : 1 matched. Global mRNA expression changes were then analyzed between the paired groups to identify the differentially expressed genes. Lasso Cox regression modeling analysis was conducted for the selection of prognostic mRNA. Fifteen mRNA were finally identified to build an early relapse classifier. With specific risk score formula, patients were classified into a high‐risk group and a low‐risk group. Relapse‐free survival was significantly different between the two groups in every series, including discovery [hazard ratio (HR): 2.547, 95% confidence interval (CI): 1.708–3.797, P < 0.001)], internal validation (HR: 5.146, 95% CI: 1.968–13.457, P < 0.001), and external validation (HR: 1.977, 95% CI: 1.295–3.021, P < 0.001) sets of patients. Time‐dependent receiver‐operating characteristic at 1 year suggested more prognostic accuracy of the classifier [area under curve (AUC = 0.703)] than the American Joint Commission on Cancer tumor–node–metastasis staging system (AUC = 0.659) in all 951 patients. In conclusion, we developed a robust mRNA signature that can effectively classify colon cancer patients into groups with low and high risks of early relapse. This mRNA signature may help select high‐risk colon cancer patients who require more aggressive therapeutic intervention.https://doi.org/10.1002/1878-0261.12175colon cancerearly relapseGene Expression Omnibus databasemRNA signaturepropensity score |
| spellingShingle | Weixing Dai Yaqi Li Shaobo Mo Yang Feng Long Zhang Ye Xu Qingguo Li Guoxiang Cai A robust gene signature for the prediction of early relapse in stage I–III colon cancer Molecular Oncology colon cancer early relapse Gene Expression Omnibus database mRNA signature propensity score |
| title | A robust gene signature for the prediction of early relapse in stage I–III colon cancer |
| title_full | A robust gene signature for the prediction of early relapse in stage I–III colon cancer |
| title_fullStr | A robust gene signature for the prediction of early relapse in stage I–III colon cancer |
| title_full_unstemmed | A robust gene signature for the prediction of early relapse in stage I–III colon cancer |
| title_short | A robust gene signature for the prediction of early relapse in stage I–III colon cancer |
| title_sort | robust gene signature for the prediction of early relapse in stage i iii colon cancer |
| topic | colon cancer early relapse Gene Expression Omnibus database mRNA signature propensity score |
| url | https://doi.org/10.1002/1878-0261.12175 |
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