Frontiers in Oncology (May 2021)
A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes
- 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
Affiliations
- Haibi Zhao
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Haibi Zhao
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Haibi Zhao
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Chengzhi Huang
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Chengzhi Huang
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Chengzhi Huang
- School of Medicine, South China University of Technology, Guangzhou, China
- Yuwen Luo
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Yuwen Luo
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Yuwen Luo
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Xiaoya Yao
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Xiaoya Yao
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Xiaoya Yao
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Yong Hu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Yong Hu
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Yong Hu
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Muqing Wang
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Muqing Wang
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Muqing Wang
- School of Medicine, South China University of Technology, Guangzhou, China
- Xin Chen
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Xin Chen
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Xin Chen
- Medical College, Shantou University, Shantou, China
- Jun Zeng
- Department of General Surgery, Baoan Central Hospital, The Fifth Affiliated Hospital of Shen Zhen University, Shen Zhen, China
- Weixian Hu
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Junjiang Wang
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Junjiang Wang
- School of Medicine, South China University of Technology, Guangzhou, China
- Junjiang Wang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Rongjiang Li
- Department of General Surgery, Baoan Central Hospital, The Fifth Affiliated Hospital of Shen Zhen University, Shen Zhen, China
- Xueqing Yao
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
- Xueqing Yao
- Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Xueqing Yao
- Ganzhou Hospital (Ganzhou Municipal Hospital), Guangdong Provincial People's Hospital, Ganzhou, China
- Xueqing Yao
- School of Medicine, South China University of Technology, Guangzhou, China
- Xueqing Yao
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Xueqing Yao
- Medical College, Shantou University, Shantou, China
- DOI
- https://doi.org/10.3389/fonc.2021.595099
- Journal volume & issue
-
Vol. 11
Abstract
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.
Keywords
