Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer
Although much progress has been made to improve treatment, colon cancer remains a leading cause of cancer death worldwide. Metabolic reprogramming is a significant ability of cancer cells to ensure the necessary energy supply in uncontrolled proliferation. Since reprogramming energy metabolism has e...
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PeerJ Inc.
2020-07-01
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| Online Access: | https://peerj.com/articles/9458.pdf |
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| author | Xinxin Zhang Jinyuan Xu Yujia Lan Fenghua Guo Yun Xiao Yixue Li Xia Li |
| author_facet | Xinxin Zhang Jinyuan Xu Yujia Lan Fenghua Guo Yun Xiao Yixue Li Xia Li |
| author_sort | Xinxin Zhang |
| collection | DOAJ |
| description | Although much progress has been made to improve treatment, colon cancer remains a leading cause of cancer death worldwide. Metabolic reprogramming is a significant ability of cancer cells to ensure the necessary energy supply in uncontrolled proliferation. Since reprogramming energy metabolism has emerged as a new hallmark of cancer cells, accumulating evidences have suggested that metabolism-related genes may serve as key regulators of tumorigenesis and potential biomarkers. In this study, we analyzed a set of reprogramming energy metabolism-related genes by transcriptome analysis in colon cancer and revealed a five-gene signature that could significantly predict the overall survival. The reprogramming energy metabolism-related signature could distinguish patients into high-risk and low-risk groups with significantly different survival times (P = 0.0011; HR = 1.92; 95% CI [1.29–2.87]). Its prognostic value was confirmed in another two independent colon cancer cohorts (P = 5.2e–04; HR = 2.09, 95%; CI [1.37–3.2] for GSE17538 and P = 3.8e−04; HR = 2.08, 95% CI [1.37–3.16] for GSE41258). By multivariable analysis, we found that the signature was independent of clinicopathological features. Its power in promoting risk stratification of the current clinical stage was then evaluated by stratified analysis. Moreover, the signature could improve the power of the TNM stage for the prediction of overall survival and could be used in patients who received adjuvant chemotherapy. Overall, our results demonstrated the important role of the reprogramming energy metabolism-related signature in promoting stratification of high-risk patients, which could be diagnostic of adjuvant therapy benefit. |
| first_indexed | 2024-03-09T07:53:06Z |
| format | Article |
| id | doaj.art-e96b862331804fc4b431ba8431023599 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:53:06Z |
| publishDate | 2020-07-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj.art-e96b862331804fc4b431ba84310235992023-12-03T01:26:13ZengPeerJ Inc.PeerJ2167-83592020-07-018e945810.7717/peerj.9458Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancerXinxin Zhang0Jinyuan Xu1Yujia Lan2Fenghua Guo3Yun Xiao4Yixue Li5Xia Li6College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaAlthough much progress has been made to improve treatment, colon cancer remains a leading cause of cancer death worldwide. Metabolic reprogramming is a significant ability of cancer cells to ensure the necessary energy supply in uncontrolled proliferation. Since reprogramming energy metabolism has emerged as a new hallmark of cancer cells, accumulating evidences have suggested that metabolism-related genes may serve as key regulators of tumorigenesis and potential biomarkers. In this study, we analyzed a set of reprogramming energy metabolism-related genes by transcriptome analysis in colon cancer and revealed a five-gene signature that could significantly predict the overall survival. The reprogramming energy metabolism-related signature could distinguish patients into high-risk and low-risk groups with significantly different survival times (P = 0.0011; HR = 1.92; 95% CI [1.29–2.87]). Its prognostic value was confirmed in another two independent colon cancer cohorts (P = 5.2e–04; HR = 2.09, 95%; CI [1.37–3.2] for GSE17538 and P = 3.8e−04; HR = 2.08, 95% CI [1.37–3.16] for GSE41258). By multivariable analysis, we found that the signature was independent of clinicopathological features. Its power in promoting risk stratification of the current clinical stage was then evaluated by stratified analysis. Moreover, the signature could improve the power of the TNM stage for the prediction of overall survival and could be used in patients who received adjuvant chemotherapy. Overall, our results demonstrated the important role of the reprogramming energy metabolism-related signature in promoting stratification of high-risk patients, which could be diagnostic of adjuvant therapy benefit.https://peerj.com/articles/9458.pdfColon cancerOverall survivalReprogramming energy metabolismSignatureMetabolism |
| spellingShingle | Xinxin Zhang Jinyuan Xu Yujia Lan Fenghua Guo Yun Xiao Yixue Li Xia Li Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer PeerJ Colon cancer Overall survival Reprogramming energy metabolism Signature Metabolism |
| title | Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer |
| title_full | Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer |
| title_fullStr | Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer |
| title_full_unstemmed | Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer |
| title_short | Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer |
| title_sort | transcriptome analysis reveals a reprogramming energy metabolism related signature to improve prognosis in colon cancer |
| topic | Colon cancer Overall survival Reprogramming energy metabolism Signature Metabolism |
| url | https://peerj.com/articles/9458.pdf |
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