Single-Cell Sequence and Machine Learning Identify a CD79A+B Cells-Related Transcriptional Signature for Predicting Clinical Outcomes and Immune Microenvironment in Breast Cancer
This study comprehensively explored the heterogeneity of CD79A<sup>+</sup> B cells through transcriptome analysis and chromatin analysis, which contributes to an in-depth understanding of the function of CD79A<sup>+</sup> B cells in biological processes as well as the molecular mechanism of breast carcinogenesis, providing a theoretical basis for treatment and prevention.
Authors
- Tao‐Lan Zhang (ORCID: https://orcid.org/0000-0002-0049-128X)
- Hongxia Zhu (ORCID: https://orcid.org/0000-0002-6961-5957)
- Bo Hao (ORCID: https://orcid.org/0000-0002-9541-9263)
- Jingdi Zhang (ORCID: https://orcid.org/0000-0003-1343-1929)
- Ting Yan
- Wendi Zhan
- Haihong Hu (ORCID: https://orcid.org/0000-0003-1799-864X)
- Siyu Wang (ORCID: https://orcid.org/0009-0003-5523-1631)
Institutions
- First Affiliated Hospital of University of South China (CN)
- University of South China (CN)
Publication Details
- Journal
- Cancer Informatics
- Published
- 2025-07-26
- DOI
- https://doi.org/10.1177/11769351251360675
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China
- China Scholarship Council
- Natural Science Foundation of Hunan Province