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Single-cell sequencing unveils mitophagy-related prognostic model for triple-negative breast cancer

  • 0Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Frontiers in Immunology +

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November 19, 2024

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November 19, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies key mitophagy-related genes to predict outcomes in triple-negative breast cancer (TNBC). A new model stratifies patients, revealing high-risk groups have worse survival and increased immune cell infiltration, guiding personalized TNBC treatments.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genetics

Background

  • Triple-negative breast cancer (TNBC) presents limited therapeutic options and a poor prognosis due to its aggressive nature and lack of specific biomarkers.
  • The role of mitophagy, a crucial cellular process for mitochondrial quality control, in TNBC progression and patient outcomes remains largely undefined.

Purpose Of The Study

  • To identify mitophagy-related genes (MRGs) associated with TNBC.
  • To develop and validate a prognostic model for TNBC based on MRGs.
  • To explore the relationship between MRG expression, tumor immune microenvironment, and drug sensitivity in TNBC.

Main Methods

  • Utilized single-cell RNA sequencing data from TCGA and GEO databases to identify MRGs.
  • Developed a prognostic model using univariate Cox analysis and LASSO regression.
  • Validated the model across independent TNBC cohorts and analyzed correlations with immune infiltration and drug sensitivity.

Main Results

  • Identified nine key MRGs that effectively stratified TNBC patients into high-risk and low-risk groups.
  • The high-risk group exhibited significantly poorer survival outcomes, demonstrating the model's predictive accuracy.
  • Found a correlation between elevated MRG expression, increased immune cell infiltration, and potential sensitivity to certain chemotherapies.

Conclusions

  • A novel mitophagy-related prognostic model can predict outcomes for triple-negative breast cancer patients.
  • Mitophagy gene expression influences the tumor microenvironment and may impact treatment response.
  • This model holds potential for developing personalized therapeutic strategies for TNBC.

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