Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer
Abstract Background Although genes have been previously detected in pancreatic cancer (PC), aberrant genes that play roles in resectable pancreatic cancer should be further assessed. Methods Messenger RNA samples and clinicopathological data corrected with PC were downloaded from The Cancer Genome A...
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| Format: | Article |
| Language: | English |
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BMC
2020-09-01
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| Series: | BMC Surgery |
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| Online Access: | http://link.springer.com/article/10.1186/s12893-020-00856-y |
| _version_ | 1818501385938796544 |
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| author | Chao Wu Zuowei Wu Bole Tian |
| author_facet | Chao Wu Zuowei Wu Bole Tian |
| author_sort | Chao Wu |
| collection | DOAJ |
| description | Abstract Background Although genes have been previously detected in pancreatic cancer (PC), aberrant genes that play roles in resectable pancreatic cancer should be further assessed. Methods Messenger RNA samples and clinicopathological data corrected with PC were downloaded from The Cancer Genome Atlas (TCGA). Resectable PC patients were randomly divided into a primary set and a validation set. Univariable Cox regression analysis, lasso-penalized Cox regression analysis, and multivariable Cox analysis were implemented to distinguish survival-related genes (SRGs). A risk score based on the SRGs was calculated by univariable Cox regression analysis. A genomic-clinical nomogram was established by integrating the risk score and clinicopathological data to predict overall survival (OS) in resectable PC. Results Five survival-related genes (AADAC, DEF8, HIST1H1C, MET, and CHFR) were significantly correlated with OS in resectable PC. The resectable PC patients, based on risk score, were sorted into a high-risk group that showed considerably unfavorable OS (p < 0.001) than the low-risk group, in both the primary set and the validation set. The concordance index (C-index) was calculated to evaluate the predictive performance of the nomogram were respectively in the primary set [0.696 (0.608–0.784)] and the validation set [0.682 (0.606–0.758)]. Additionally, gene set enrichment Analysis discovered several meaningful enriched pathways. Conclusion Our study identified five prognostic gene biomarkers for OS prediction and which facilitate postoperative molecular target therapy for the resectable PC, especially the nomic-clinical nomogram which may be used as an effective model for the postoperative OS evaluation and also an optimal therapeutic tool for the resectable PC. |
| first_indexed | 2024-12-10T20:55:24Z |
| format | Article |
| id | doaj.art-fc10d0906dd444c7b082d8715561216b |
| institution | Directory Open Access Journal |
| issn | 1471-2482 |
| language | English |
| last_indexed | 2024-12-10T20:55:24Z |
| publishDate | 2020-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Surgery |
| spelling | doaj.art-fc10d0906dd444c7b082d8715561216b2022-12-22T01:33:59ZengBMCBMC Surgery1471-24822020-09-0120111010.1186/s12893-020-00856-yFive gene signatures were identified in the prediction of overall survival in resectable pancreatic cancerChao Wu0Zuowei Wu1Bole Tian2Department of Pancreatic Surgery, West China Hospital, Sichuan UniversityDepartment of Pancreatic Surgery, West China Hospital, Sichuan UniversityDepartment of Pancreatic Surgery, West China Hospital, Sichuan UniversityAbstract Background Although genes have been previously detected in pancreatic cancer (PC), aberrant genes that play roles in resectable pancreatic cancer should be further assessed. Methods Messenger RNA samples and clinicopathological data corrected with PC were downloaded from The Cancer Genome Atlas (TCGA). Resectable PC patients were randomly divided into a primary set and a validation set. Univariable Cox regression analysis, lasso-penalized Cox regression analysis, and multivariable Cox analysis were implemented to distinguish survival-related genes (SRGs). A risk score based on the SRGs was calculated by univariable Cox regression analysis. A genomic-clinical nomogram was established by integrating the risk score and clinicopathological data to predict overall survival (OS) in resectable PC. Results Five survival-related genes (AADAC, DEF8, HIST1H1C, MET, and CHFR) were significantly correlated with OS in resectable PC. The resectable PC patients, based on risk score, were sorted into a high-risk group that showed considerably unfavorable OS (p < 0.001) than the low-risk group, in both the primary set and the validation set. The concordance index (C-index) was calculated to evaluate the predictive performance of the nomogram were respectively in the primary set [0.696 (0.608–0.784)] and the validation set [0.682 (0.606–0.758)]. Additionally, gene set enrichment Analysis discovered several meaningful enriched pathways. Conclusion Our study identified five prognostic gene biomarkers for OS prediction and which facilitate postoperative molecular target therapy for the resectable PC, especially the nomic-clinical nomogram which may be used as an effective model for the postoperative OS evaluation and also an optimal therapeutic tool for the resectable PC.http://link.springer.com/article/10.1186/s12893-020-00856-yPancreatic cancerPrognostic modelTCGABiomarkersSurvivalNomogram |
| spellingShingle | Chao Wu Zuowei Wu Bole Tian Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer BMC Surgery Pancreatic cancer Prognostic model TCGA Biomarkers Survival Nomogram |
| title | Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| title_full | Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| title_fullStr | Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| title_full_unstemmed | Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| title_short | Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| title_sort | five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer |
| topic | Pancreatic cancer Prognostic model TCGA Biomarkers Survival Nomogram |
| url | http://link.springer.com/article/10.1186/s12893-020-00856-y |
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