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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
Summary
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.

