Identification and validation of an intratumor heterogeneity-related prognostic signature in triple-negative breast cancer: a study based on integrative machine learning and single-cell sequencing.
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| Title: | Identification and validation of an intratumor heterogeneity-related prognostic signature in triple-negative breast cancer: a study based on integrative machine learning and single-cell sequencing. |
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| Authors: | Li T; Ningxia Medical University, Yinchuan, Ningxia, China., Lian B; Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China., Liu Y; Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China., Guo L; Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China., Li J; Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China. lijinping@nxmu.edu.cn. |
| Source: | Breast cancer research : BCR [Breast Cancer Res] 2026 Apr 25; Vol. 28 (1). Date of Electronic Publication: 2026 Apr 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100927353 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-542X (Electronic) Linking ISSN: 14655411 NLM ISO Abbreviation: Breast Cancer Res Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1465-542X |
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| DOI: | 10.1186/s13058-026-02291-y |
