Establishment and validation of an immune infiltration predictive model for ovarian cancer.

ABSTRACT:

Background

The most prevalent mutation in ovarian cancer is the TP53 mutation, which impacts the development and prognosis of the disease. We looked at how the TP53 mutation associates the immunophenotype of ovarian cancer and the prognosis of the disease.

Methods

We investigated the state of TP53 mutations and expression profiles in culturally diverse groups and datasets and developed an immune infiltration predictive model relying on immune-associated genes differently expressed between TP53 WT and TP53 MUT ovarian cancer cases. We aimed to construct an immune infiltration predictive model (IPM) to enhance the prognosis of ovarian cancer and investigate the impact of the IPM on the immunological microenvironment.

Results

TP53 mutagenesis affected the expression of s

SUBMITTER: Song Z 

PROVIDER: S-EPMC10538244 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature