Single-cell transcriptomics and whole-genome sequencing reveal the tumor landscape in breast carcinosarcoma
5 affiliations
- 1Department of Breast and Thyroid Surgery, Ward Three, Affiliated Zhongshan Hospital of Dalian University
- 2Teaching Laboratory of Morphology, College of Basic Medical Sciences, Dalian Medical University
- 3Department of Pathology, Affiliated Zhongshan Hospital of Dalian University
- 4Department of Breast Surgery, The Second Hospital of Dalian Medical University
- 5Department of Oncology, Affiliated Zhongshan Hospital of Dalian University
Abstract
Breast carcinosarcoma is a rare and highly aggressive subtype of metaplastic breast carcinoma. It is typically negative for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER2), and displays greater invasiveness and metastatic potential than triple-negative breast cancer (TNBC). This exploratory single-case study analyzed one individual breast carcinosarcoma sample via single-cell RNA sequencing, which revealed that the tumor was predominantly composed of epithelial cells and fibroblasts, with four distinct subpopulations identified for each cell type. In this case, critical crosstalk between malignant epithelial cells and mesenchymal cells may be mediated by the LAMININ, MK, and APP signaling pathways. Comparative analysis of single-cell sequencing data from this sample with publicly available TNBC single-cell datasets revealed notable differences in cellular composition between this breast carcinosarcoma case and TNBC samples. Whole-genome sequencing of the sample identified complex genomic alterations, including potential germline susceptibility-related candidate genes and candidate driver mutations associated with the tumor in this case. This study presents single-cell transcriptomic and whole-genomic profiling data for a single case of breast carcinosarcoma, deepens understanding of the biological characteristics of this tumor in the studied case, and provides a novel exploratory resource for investigating the heterogeneity of breast carcinosarcoma.
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BibTeX
@article{wang2026singlecell,
title = {{Single-cell transcriptomics and whole-genome sequencing reveal the tumor landscape in breast carcinosarcoma}},
author = {Meiling Wang and Luhan Xie and Guangze Sun and Yue Huang and Jiping Xie and Weipeng Lv and Shilin Zhao and Yi Wan and Min Zhang and Zhantian Zhang and Shiyu Yang and Xiaomin Fu and Jingfan Xia and Zuowei Zhao and Yongqiang Yao and Ruoyu Wang},
journal = {Scientific Reports},
year = {2026},
month = jul,
doi = {10.1038/s41598-026-61487-6},
url = {https://doi.org/10.1038/s41598-026-61487-6},
note = {CC BY},
}
RIS
TY - JOUR
TI - Single-cell transcriptomics and whole-genome sequencing reveal the tumor landscape in breast carcinosarcoma
AU - Meiling Wang
AU - Luhan Xie
AU - Guangze Sun
AU - Yue Huang
AU - Jiping Xie
AU - Weipeng Lv
AU - Shilin Zhao
AU - Yi Wan
AU - Min Zhang
AU - Zhantian Zhang
AU - Shiyu Yang
AU - Xiaomin Fu
AU - Jingfan Xia
AU - Zuowei Zhao
AU - Yongqiang Yao
AU - Ruoyu Wang
PY - 2026
DA - 2026/07/01
JO - Scientific Reports
DO - 10.1038/s41598-026-61487-6
UR - https://doi.org/10.1038/s41598-026-61487-6
AB - Breast carcinosarcoma is a rare and highly aggressive subtype of metaplastic breast carcinoma. It is typically negative for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER2), and displays greater invasiveness and metastatic potential than triple-negative breast cancer (TNBC). This exploratory single-case study analyzed one individual breast carcinosarcoma sample via single-cell RNA sequencing, which revealed that the tumor was predominantly composed of epithelial cells and fibroblasts, with four distinct subpopulations identified for each cell type. In this case, critical crosstalk between malignant epithelial cells and mesenchymal cells may be mediated by the LAMININ, MK, and APP signaling pathways. Comparative analysis of single-cell sequencing data from this sample with publicly available TNBC single-cell datasets revealed notable differences in cellular composition between this breast carcinosarcoma case and TNBC samples. Whole-genome sequencing of the sample identified complex genomic alterations, including potential germline susceptibility-related candidate genes and candidate driver mutations associated with the tumor in this case. This study presents single-cell transcriptomic and whole-genomic profiling data for a single case of breast carcinosarcoma, deepens understanding of the biological characteristics of this tumor in the studied case, and provides a novel exploratory resource for investigating the heterogeneity of breast carcinosarcoma.
SN - 2045-2322
ER -