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August 17, 2025Frontiers in ImmunologyOpen Access

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

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Authors

ZWZiqiang WangJZJing ZhangHCHuili Chen

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Overview

Machine learning reveals M2-like TAMs influence prognosis in breast cancer, suggesting new treatment strategies.

Key Points

  • M2-like tumor-associated macrophages significantly influence prognosis in breast cancer patients, highlighting their immunosuppressive role.
  • Prognostic model generated using machine learning showed distinct clinical features associated with three molecular subtypes of breast cancer.
  • Weighted gene co-expression network analysis identified genomic mutations and immune infiltration differences among the subtypes.
  • DLG3 plays a crucial role in macrophage polarization, indicating potential therapeutic targets to overcome immunotherapy resistance.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68a3531d234c60ad5c20dc43https://doi.org/10.3389/fimmu.2025.1650726
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