A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes
Autophagy plays a complex role in tumors, sometimes promoting cancer cell survival and sometimes inducing apoptosis, and its role in the colorectal tumor microenvironment is controversial. The purpose of this study was to investigate the prognostic value of autophagy-related genes (ARGs) in colorect...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-05-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.595099/full |
| _version_ | 1831666493269475328 |
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| author | Haibi Zhao Haibi Zhao Haibi Zhao Chengzhi Huang Chengzhi Huang Chengzhi Huang Yuwen Luo Yuwen Luo Yuwen Luo Xiaoya Yao Xiaoya Yao Xiaoya Yao Yong Hu Yong Hu Yong Hu Muqing Wang Muqing Wang Muqing Wang Xin Chen Xin Chen Xin Chen Jun Zeng Weixian Hu Junjiang Wang Junjiang Wang Junjiang Wang Rongjiang Li Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao |
| author_facet | Haibi Zhao Haibi Zhao Haibi Zhao Chengzhi Huang Chengzhi Huang Chengzhi Huang Yuwen Luo Yuwen Luo Yuwen Luo Xiaoya Yao Xiaoya Yao Xiaoya Yao Yong Hu Yong Hu Yong Hu Muqing Wang Muqing Wang Muqing Wang Xin Chen Xin Chen Xin Chen Jun Zeng Weixian Hu Junjiang Wang Junjiang Wang Junjiang Wang Rongjiang Li Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao |
| author_sort | Haibi Zhao |
| collection | DOAJ |
| description | Autophagy plays a complex role in tumors, sometimes promoting cancer cell survival and sometimes inducing apoptosis, and its role in the colorectal tumor microenvironment is controversial. The purpose of this study was to investigate the prognostic value of autophagy-related genes (ARGs) in colorectal cancer. We identified 37 differentially expressed autophagy-related genes by collecting TCGA colorectal tumor transcriptome data. A single-factor COX regression equation was used to identify 11 key prognostic genes, and a prognostic risk prediction model was constructed based on multifactor COX analysis. We classified patients into high and low risk groups according to prognostic risk parameters (p <0.001) and determined the prognostic value they possessed by survival analysis and the receiver operating characteristic (ROC) curve in the training and test sets of internal tests. In a multifactorial independent prognostic analysis, this risk value could be used as an independent prognostic indicator (HR=1.167, 95% CI=1.078-1.264, P<0.001) and was a robust predictor without any staging interference. To make it more applicable to clinical procedures, we constructed nomogram based on risk parameters and parameters of key clinical characteristics. The area under ROC curve for 3-year and 5-year survival rates were 0.735 and 0.718, respectively. These will better enable us to monitor patient prognosis, thus improve patient outcomes. |
| first_indexed | 2024-12-19T19:53:42Z |
| format | Article |
| id | doaj.art-f986e2a208744e66a78a609eb8eed908 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-19T19:53:42Z |
| publishDate | 2021-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-f986e2a208744e66a78a609eb8eed9082022-12-21T20:07:52ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-05-011110.3389/fonc.2021.595099595099A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature GenesHaibi Zhao0Haibi Zhao1Haibi Zhao2Chengzhi Huang3Chengzhi Huang4Chengzhi Huang5Yuwen Luo6Yuwen Luo7Yuwen Luo8Xiaoya Yao9Xiaoya Yao10Xiaoya Yao11Yong Hu12Yong Hu13Yong Hu14Muqing Wang15Muqing Wang16Muqing Wang17Xin Chen18Xin Chen19Xin Chen20Jun Zeng21Weixian Hu22Junjiang Wang23Junjiang Wang24Junjiang Wang25Rongjiang Li26Xueqing Yao27Xueqing Yao28Xueqing Yao29Xueqing Yao30Xueqing Yao31Xueqing Yao32School of Biology and Biological Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaSchool of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, ChinaSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaSchool of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaMedical College, Shantou University, Shantou, ChinaDepartment of General Surgery, Baoan Central Hospital, The Fifth Affiliated Hospital of Shen Zhen University, Shen Zhen, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaSchool of Medicine, South China University of Technology, Guangzhou, ChinaThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, ChinaDepartment of General Surgery, Baoan Central Hospital, The Fifth Affiliated Hospital of Shen Zhen University, Shen Zhen, ChinaSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaGanzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, ChinaSchool of Medicine, South China University of Technology, Guangzhou, ChinaThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, ChinaMedical College, Shantou University, Shantou, ChinaAutophagy plays a complex role in tumors, sometimes promoting cancer cell survival and sometimes inducing apoptosis, and its role in the colorectal tumor microenvironment is controversial. The purpose of this study was to investigate the prognostic value of autophagy-related genes (ARGs) in colorectal cancer. We identified 37 differentially expressed autophagy-related genes by collecting TCGA colorectal tumor transcriptome data. A single-factor COX regression equation was used to identify 11 key prognostic genes, and a prognostic risk prediction model was constructed based on multifactor COX analysis. We classified patients into high and low risk groups according to prognostic risk parameters (p <0.001) and determined the prognostic value they possessed by survival analysis and the receiver operating characteristic (ROC) curve in the training and test sets of internal tests. In a multifactorial independent prognostic analysis, this risk value could be used as an independent prognostic indicator (HR=1.167, 95% CI=1.078-1.264, P<0.001) and was a robust predictor without any staging interference. To make it more applicable to clinical procedures, we constructed nomogram based on risk parameters and parameters of key clinical characteristics. The area under ROC curve for 3-year and 5-year survival rates were 0.735 and 0.718, respectively. These will better enable us to monitor patient prognosis, thus improve patient outcomes.https://www.frontiersin.org/articles/10.3389/fonc.2021.595099/fullARGsprognostic indicatorCRCnomogramrisk model |
| spellingShingle | Haibi Zhao Haibi Zhao Haibi Zhao Chengzhi Huang Chengzhi Huang Chengzhi Huang Yuwen Luo Yuwen Luo Yuwen Luo Xiaoya Yao Xiaoya Yao Xiaoya Yao Yong Hu Yong Hu Yong Hu Muqing Wang Muqing Wang Muqing Wang Xin Chen Xin Chen Xin Chen Jun Zeng Weixian Hu Junjiang Wang Junjiang Wang Junjiang Wang Rongjiang Li Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao Xueqing Yao A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes Frontiers in Oncology ARGs prognostic indicator CRC nomogram risk model |
| title | A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes |
| title_full | A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes |
| title_fullStr | A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes |
| title_full_unstemmed | A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes |
| title_short | A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes |
| title_sort | correlation study of prognostic risk prediction for colorectal cancer based on autophagy signature genes |
| topic | ARGs prognostic indicator CRC nomogram risk model |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.595099/full |
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