A new prognostic risk model based on autophagy-related genes in kidney renal clear cell carcinoma.
Ontology highlight
ABSTRACT: This study aimed to explore the potential role of autophagy-related genes in kidney renal clear cell carcinoma (KIRC) and develop a new prognostic-related risk model. In our research, we used multiple bioinformatics methods to perform a pan-cancer analysis of the CNV, SNV, mRNA expression, and overall survival of autophagy-related genes, and displayed the results in the form of heat maps. We then performed cluster analysis and LASSO regression analysis on these autophagy-related genes in KIRC. In the cluster analysis, we successfully divided patients with KIRC into five clusters and found that there was a clear correlation between the classification and two clinicopathological features: tumor, and stage. In LASSO regression analysis, we used 13 genes to create a new prognostic-related risk
SUBMITTER: Wu G
PROVIDER: S-EPMC8806698 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA