TPD52 as a Therapeutic Target Identified by Machine Learning Shapes the Immune Microenvironment in Breast Cancer
2025

TPD52 as a Therapeutic Target in Breast Cancer

publication Evidence: moderate

Author Information

Author(s): Xia Jie, Zhou Xudong

Primary Institution: Tongji Medical College, Huazhong University of Science and Technology

Hypothesis

This study aims to elucidate the role of TPD52 as an immune regulator in breast cancer using machine learning methodologies.

Conclusion

TPD52 may serve as a promising biomarker for therapeutic intervention in breast cancer, influencing immune responses and patient prognosis.

Supporting Evidence

  • TPD52 was identified as a hazardous marker associated with reduced survival rates in breast cancer patients.
  • High TPD52 expression correlated with lower immune cell abundance in the tumor microenvironment.
  • In vitro studies showed that reducing TPD52 expression decreased cancer cell proliferation and migration.

Takeaway

Researchers found that a protein called TPD52 affects how the immune system interacts with breast cancer, which could help doctors treat patients better.

Methodology

The study used single-cell RNA sequencing and machine learning techniques to analyze the immune landscape and identify differentially expressed genes related to TPD52.

Digital Object Identifier (DOI)

10.1111/jcmm.70333

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