Construction of a prognostic model based on efferocytosis for predicting survival and immunotherapy efficacy in cervical cancer.

ABSTRACT:

Background

Cervical cancer (CC) is the foremost contributor to cancer-related mortality among women. Identifying and investigating genes associated with CC prognosis are crucial for improving patient outcomes. Recent advances in high-throughput data analysis methods have revealed a correlation between CC prognosis and the tumor immune microenvironment (TIME). But as one of the most frequent events in the TIME, the relationship between efferocytosis and the prognosis of CC is still unknown. The aim of this research is to examine the effect of efferocytosis-related genes (ERGs) on the treatment outcomes and prognosis of CC.

Methods

Datasets pertaining to CC were obtained from the Cancer Genome Characterization Initiative (CGCI), The Cancer Genome Atlas (TCGA), and the Gene Exp

SUBMITTER: Zhang LL 

PROVIDER: S-EPMC12776244 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature