Comprehensive Single-Cell Characterization of LDL in the Ovarian Cancer Microenvironment and Its Prognostic Implications.

ABSTRACT:

Background

Low-density lipoprotein (LDL) is a critical regulator of lipid metabolism and has been implicated in the development and progression of various malignancies. However, its specific roles and mechanisms in the ovarian cancer tumor microenvironment (TME) remain unclear. This study aimed to comprehensively elucidate the distribution, functional pathways, and prognostic value of LDL in ovarian cancer using single-cell transcriptome analysis.

Methods

Single-cell transcriptome data from ovarian cancer patients were analyzed. The AUCell algorithm was used to score LDL-related gene expression in different cell subsets, dividing cells into high and low LDL score groups. Functional pathway enrichment (Gene Set Variation Analysis [GSVA]) and cell-cell communication (CellChat)

SUBMITTER: Tian K 

PROVIDER: S-EPMC12767482 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature