Development of a risk model based on autophagy-related genes to predict survival and immunotherapy response in ovarian cancer.

ABSTRACT:

Background

Autophagy is a highly conserved cellular proteolytic process that can interact with innate immune signaling pathways to affect the growth of tumor cells. However, the regulatory mechanism of autophagy in the tumor microenvironment, drug sensitivity, and immunotherapy is still unclear.

Methods

Based on the prognostic autophagy-related genes, we used the unsupervised clustering method to divide 866 ovarian cancer samples into two regulatory patterns. According to the phenotypic regulation pattern formed by the differential gene between the two regulation patterns, a risk model was constructed to quantify patients with ovarian cancer. Then, we systematically analyzed the relationship between the risk model and immune cell infiltration, immunotherapeutic response, and

SUBMITTER: Chen Y 

PROVIDER: S-EPMC9890868 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature