1. A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes
- Author
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Haibi Zhao, Chengzhi Huang, Yuwen Luo, Xiaoya Yao, Yong Hu, Muqing Wang, Xin Chen, Jun Zeng, Weixian Hu, Junjiang Wang, Rongjiang Li, and Xueqing Yao
- Subjects
Oncology ,medicine.medical_specialty ,Cancer Research ,Receiver operating characteristic ,Proportional hazards model ,Colorectal cancer ,business.industry ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Nomogram ,medicine.disease ,CRC ,Correlation ,Transcriptome ,nomogram ,prognostic indicator ,risk model ,Internal medicine ,Cancer cell ,ARGs ,medicine ,business ,RC254-282 ,Survival analysis ,Original Research - 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
- Published
- 2021
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