Exploration of efferocytosis-related genes as potential therapeutic targets in endometrial cancer.

ABSTRACT:

Background

Efferocytosis is involved in the occurrence and development of various malignancies, but its role in endometrial cancer (EC) remains unclear. This study aims to employ bioinformatics methods to identify potential therapeutic targets associated with efferocytosis-related genes in EC.

Methods

Transcriptomic and clinical data of EC were obtained from The Cancer Genome Atlas (TCGA) database. Efferocytosis-related genes were curated from published literature. Prognostic genes were identified using random forest and least absolute shrinkage and selection operator (LASSO) regression. A Cox risk score model and nomogram were constructed, followed by random cohort partitioning, internal validation, immune infiltration analysis, and drug sensitivity profiling.

Results

SUBMITTER: Zhang H 

PROVIDER: S-EPMC12611400 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature