Single-cell transcriptomics reveals tumor landscape in ovarian carcinosarcoma.

ABSTRACT:

Objectives

The present study used single-cell RNA sequencing (scRNA-seq) to characterize the cellular composition of ovarian carcinosarcoma (OCS) and identify its molecular characteristics.

Methods

scRNA-seq was performed in resected primary OCS for an in-depth analysis of tumor cells and the tumor microenvironment. Immunohistochemistry staining was used for validation. The scRNA-seq data of OCS were compared with those of high-grade serous ovarian carcinoma (HGSOC) tumors and other OCS tumors.

Results

Both malignant epithelial and malignant mesenchymal cells were observed in the OCS patient of this study. We identified four epithelial cell subclusters with different biological roles. Among them, epithelial subcluster 4 presented high levels of breast cancer type 1 su

SUBMITTER: Xu J 

PROVIDER: S-EPMC11337087 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature