1. Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
- Author
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Gaosong Zhang, Weihao Kong, Chong Li, Jin Huang, Min Zhang, Xingyu Wang, and Jianlin Zhang
- Subjects
Oncology ,medicine.medical_specialty ,Carcinoma, Hepatocellular ,Article Subject ,Survivin ,Vesicular Transport Proteins ,Autophagy-Related Proteins ,Gene Expression ,Kaplan-Meier Estimate ,General Biochemistry, Genetics and Molecular Biology ,Risk Factors ,Internal medicine ,Databases, Genetic ,Autophagy ,Biomarkers, Tumor ,Medicine ,Humans ,Related gene ,Gene ,Degradation pathway ,Framingham Risk Score ,General Immunology and Microbiology ,business.industry ,Liver Neoplasms ,Membrane Proteins ,General Medicine ,Gene signature ,medicine.disease ,Prognosis ,digestive system diseases ,Hepatocellular carcinoma ,Cohort ,Glyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating) ,business ,Transcriptome ,Research Article - Abstract
Purpose. Autophagy is a lysosomal degradation pathway that is essential for maintaining the homeostasis of the intracellular environment. Mounting evidence indicates that autophagy plays an essential role in the occurrence and development of hepatocellular cancer (HCC). This research is aimed at exploring the prognostic value of autophagy-related genes (ARGs) in HCC patients. Methods. The Wilcoxon test was used to identify differentially expressed ARGs in The Cancer Genome Atlas (TCGA) HCC cohort. Then, the TCGA cohort was randomly divided into training and testing groups. Cox and LASSO regression models were used to screen for autophagy-related genes that affect overall survival (OS) in the TCGA training group. Based on the coefficient of risk genes, we constructed an autophagy-related gene signature for predicting the prognosis of HCC patients. Finally, we validated the prognostic significance of autophagy-related gene signature using the TCGA testing group and three external datasets. Results. ATG10, BIRC5, GAPDH, and TMEM74 are risk genes for OS. According to the optimal cutoff value of risk score in each HCC dataset, HCC patients can divide into high- and low-risk groups. ARG risk score can significantly distinguish HCC patients with different survival outcomes. Meanwhile, the ARG risk score is independently correlated with OS in multiple HCC cohorts. Conclusions. The autophagy-related risk score can effectively screen high-risk HCC patients and provide guidance for clinical prevention and treatment of HCC.
- Published
- 2021