Construction of an immune-related gene prognostic model for obese endometrial cancer patients based on bioinformatics analysis.

ABSTRACT:

Background

The tumor microenvironment (TME) affected the prognosis of tumors. However, its effect on the outcomes of obese endometrial cancer (EC) patients had not been reported.

Methods

This research performed a retrospective analysis of the transcriptome profiles and medical data of 503 EC patients. Immune scores were assessed by estimation algorithms. Cox and LASSO regression analyses were utilized to pinpoint key genes linked to prognosis, and the RPS was created to forecast the outcomes of obese EC patients. The relationship among genetic mutations and RPS was examined using CNV and somatic mutation information. ssGSEA and GSVA were employed to detect immune infiltration and immune pathway enrichment associated with key genes. The TIDE algorithm and GDSC database were u

SUBMITTER: Tong Y 

PROVIDER: S-EPMC11336703 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature