Identification of a novel cellular senescence-related signature for the prediction of prognosis and immunotherapy response in colon cancer.

ABSTRACT: The study was conducted to construct a cellular senescence-related risk score signature to predict prognosis and immunotherapy response in colon cancer. Colon cancer data were acquired from the Gene Expression Omnibus and The Cancer Genome Atlas databases. And cellular senescence-related genes were obtained from the CellAge database. The colon cancer data were classified into different clusters based on cellular senescence-related gene expression. Next, prognostic differential genes among clusters were identified with survival analysis. A cellular senescence-related risk score signature was developed by performing the LASSO regression analysis. Finally, PCA analysis, t-SNE analysis, Kaplan-Meier survival analysis, ROC analysis, univariate Cox regression analysis, multivariate Cox regressio

SUBMITTER: Dai L 

PROVIDER: S-EPMC9386482 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature