Development and validation of a prognostic model for endometrial carcinoma using causal genes identified by Mendelian randomization.

ABSTRACT: Endometrial carcinoma (EC) remains an ambiguous pathogenesis. This study aimed to investigate the potential of causal genes in predicting EC prognosis. The prognostic biomarkers of EC were identified using univariate Cox regression analyses based on data from The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA-UCEC). Mendelian randomization (MR) analyses were conducted to infer causal relationships, utilizing expression quantitative trait loci (eQTLs) derived from prognostic genes as exposures, and a dataset from European populations with EC as outcomes. Single nucleotide polymorphisms (SNPs) that significantly influenced gene expression (eQTLs) were selected as instrumental variables. The inverse variance weighted (IVW) method was employed as the primary analytical approach

SUBMITTER: Yang D 

PROVIDER: S-EPMC12599766 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature