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CD4 + FOXP3Exon2 + regulatory T cell frequency predicts breast cancer prognosis and survival.
- Source :
-
Science advances [Sci Adv] 2025 Jan 17; Vol. 11 (3), pp. eadr7934. Date of Electronic Publication: 2025 Jan 15. - Publication Year :
- 2025
-
Abstract
- CD4 <superscript>+</superscript> FOXP3 <superscript>+</superscript> regulatory T cells (T <subscript>regs</subscript> ) suppress immune responses to tumors, and their accumulation in the tumor microenvironment (TME) correlates with poor clinical outcome in several cancers, including breast cancer (BC). However, the properties of intratumoral T <subscript>regs</subscript> remain largely unknown. Here, we found that a functionally distinct subpopulation of T <subscript>regs</subscript> , expressing the FOXP3 Exon2 splicing variants, is prominent in patients with hormone receptor-positive BC with poor prognosis. Notably, a comprehensive examination of the TCGA validated FOXP3E2 as an independent prognostic marker in all other BC subtypes. We found that FOXP3E2 expression underlies BCs with defective mismatch repair and a stem-like signature and highlights pathways involved in tumor survival. Last, we found that the TME induces FOXP3E2 through the CXCL12/CXCR4 axis and confirmed the higher immunosuppressive capacity of FOXP3E2 <superscript>+</superscript> T <subscript>regs</subscript> derived from patients with BC. Our study suggests that FOXP3E2 <superscript>+</superscript> T <subscript>regs</subscript> might be used as an independent biomarker to predict BC prognosis and survival and to develop super-targeted immunotherapies.
- Subjects :
- Humans
Female
Prognosis
Tumor Microenvironment immunology
Biomarkers, Tumor
Receptors, CXCR4 metabolism
Receptors, CXCR4 genetics
Exons
Chemokine CXCL12 metabolism
Gene Expression Regulation, Neoplastic
Forkhead Transcription Factors metabolism
Forkhead Transcription Factors genetics
T-Lymphocytes, Regulatory immunology
T-Lymphocytes, Regulatory metabolism
Breast Neoplasms immunology
Breast Neoplasms mortality
Breast Neoplasms pathology
Breast Neoplasms metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2375-2548
- Volume :
- 11
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Science advances
- Publication Type :
- Academic Journal
- Accession number :
- 39813341
- Full Text :
- https://doi.org/10.1126/sciadv.adr7934