Establishment and validation of a prognostic model based on vasculogenic mimicry-related gene clustering in ovarian cancer.

ABSTRACT:

Background

As a critical prognostic factor in ovarian cancer which is the most lethal gynecologic malignancy, vasculogenic mimicry (VM) has not been systematically incorporated into prognostic evaluation frameworks in ovarian cancer (OC). This underscores the necessity to develop and validate a gene subtyping-based prognostic model through comprehensive analysis of VM-related biomarkers.

Methods

This study integrated multi-omics data from TCGA, GEO and GTEx, forming a primary set and an external validation cohort. Through literature mining, 28 VM-related genes were identified. Univariate Cox and LASSO regression distilled 9 genes as vasculogenic mimicry-related prognostic index (VMRPI), establishing a risk model validated by ROC and constructing a nomogram with clinical prog

SUBMITTER: Zhao X 

PROVIDER: S-EPMC12507593 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature