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Single cell RNA sequencing identifies a novel tenogenic heterologous differentiation in endometrial carcinosarcomas

GSE299623 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/10/28 Platform GPL24676
Summary
This study presents a single-cell RNA sequencing (scRNAseq) analysis of six carcinosarcomas and two normal endometrial samples, profiling over 96,000 cells. By integrating transcriptomic data with inferred copy number variations (CNVs), immunohistochemistry (IHC), and fluorescence in situ hybridization (FISH), we resolve the complex cellular architecture and differentiation dynamics of these tumors. We identify distinct lineage-specific programs and uncover heterologous differentiation trajectories—including rhabdomyogenic, osteogenic, and a previously undescribed tenogenic lineage defined by SCX, MKX, and TNMD expression. Our results reveal that carcinosarcomas exhibit multilineage plasticity within their mesenchymal component and highlight the power of single-cell analysis to refine tumor classification and uncover hidden developmental programs.
Published in
Single-nucleus RNA sequencing identifies a novel tenogenic heterologous differentiation in endometrial carcinosarcomas: implications for diagnosis and tumor classification
González-Martínez S, Palacios J, Carretero-Barrio I et al. · The Journal of pathology 2026 · PMID 41537454 · doi:10.1002/path.70003
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Also filed as BioProject PRJNA1275766 and SRA study SRP591754. Searching any of these in the dataset finder brings you back here.

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