Unknown

Dataset Information

Development and verification of a prognostic model for colon cancer on pyroptosis-related genes.


ABSTRACT: Background: Recently, the role of pyroptosis in cancer has attracted people's attention, but its function in colon cancer remains unclear. This study aimed to construct a pyroptosis-related model that can effectively predict the prognosis of patients with colon cancer and explore the potential functions of pyroptosis-related genes. Methods: We identified 40 differentially expressed PRGs between colon cancer and normal colon tissues. The model was established using the least absolute shrinkage and selection operator (LASSO) Cox regression method, and the patients were divided into high- and low-risk groups. Finally, we verified its biological function in vitro based on three PRGs and demonstrated discrepant expression of PRGs within colon cancer and non-tumor tissues at

SUBMITTER: Wu Z 

PROVIDER: S-EPMC9562195 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature