Understanding metastasis mixed-treatment responses through genomic analyses

Susana Garcia-Recio1, Paola Zagami2,3, Brooke M Felsheim4

  • 1Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

NPJ Breast Cancer
|January 30, 2025
PubMed

Insights

Genomic analysis reveals distinct features in breast cancer metastases. Higher regulatory T cells and CDKN2A gene expression correlate with non-response, while KRAS gene and CD8T cells indicate treatment response.

Area of Science:

  • Oncology
  • Genomics
  • Immunology

Background:

  • Metastatic breast cancer (MBC) presents genomic heterogeneity within patients.
  • Treatment response in MBC can be variable across different metastatic sites, known as mixed response.
  • The influence of tumor characteristics and microenvironment on this intrapatient treatment variability is not well understood.

Purpose of the Study:

  • To investigate the genomic underpinnings of mixed treatment responses in metastatic breast cancer.
  • To identify specific genomic and cellular markers associated with differential drug sensitivity across metastases within the same patient.

Main Methods:

  • Genomic analysis of multiple metastases from six individual metastatic breast cancer patients exhibiting mixed responses.
  • Assay of gene expression (e.g., CDKN2A, KRAS) and immune cell infiltration (e.g., T regulatory cells, CD8 T cells) within distinct metastatic lesions.

Main Results:

  • Higher expression of regulatory T cells (T reg) and the CDKN2A gene were associated with non-response in specific metastases.
  • Increased KRAS gene expression, KRAS amplicon, and CD8 T cells correlated with positive treatment response in individual metastases.
  • Identified distinct genomic profiles correlating with differential drug sensitivity within the same patient.

Conclusions:

  • Genomic heterogeneity of metastatic lesions significantly influences intrapatient treatment response variability in breast cancer.
  • Specific molecular markers, including T cell populations and gene expression profiles (CDKN2A, KRAS), may predict differential sensitivity to therapy.
  • These findings offer insights into personalized treatment strategies for metastatic breast cancer by explaining mixed clinical responses.