Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response
Collectively, we investigate the spatial transcription group and bulk data to elucidate the characteristics of tumor boundary molecules in breast cancer. The CAF-M2 phenotype emerges as a critical determinant of immunosuppression and drug resistance, suggesting that targeting this interaction may improve treatment responses. Furthermore, the MBS serves as a novel prognostic tool and offers potential strategies for guiding personalized treatment approaches in breast cancer.
Authors
- Zhanyang Luo
- Youyang Shi (ORCID: https://orcid.org/0000-0001-8990-2550)
- Xiaoyun Song (ORCID: https://orcid.org/0009-0009-5063-9236)
- Yonghao Chen (ORCID: https://orcid.org/0000-0003-0205-1816)
- Sheng Liu (ORCID: https://orcid.org/0000-0002-6409-9519)
- Xiqiu Zhou
- Yuanyuan Wu (ORCID: https://orcid.org/0000-0001-6262-1513)
Institutions
- Sichuan University (CN)
- Fudan University (CN)
- West China Hospital of Sichuan University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN)
- Pudong Medical Center (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fcell.2025.1570696
- Citations
- 13
- Primary Topic
- Cancer Cells and Metastasis
- Type
- article
- Field-Weighted Citation Impact
- 13.59