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ABSTRACT: Background
Ovarian cancer is one of the most common malignancies of the female reproductive system and is associated with poor prognosis. This study aimed to utilize single-cell RNA sequencing to investigate the heterogeneity of malignant epithelial cells in ovarian cancer, focusing on their potential functions and the implications for treatment and prognosis.Methods
Single-cell RNA sequencing data were clustered using a single-cell transcriptome clustering method, and malignant epithelial cells were identified through copy number variation analysis. The interaction patterns between different malignant subpopulations and immune/stromal cells were analyzed using cell-to-cell communication analysis. A risk score (URS) model based on the UBE2C + epithelial subpopulation was th
SUBMITTER: Du H
PROVIDER: S-EPMC12121145 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature