Early and metastatic breast cancers can exhibit heterogeneity, among patients and even within the same individual. Response to therapy in metastatic breast cancer patients with multiple metastases can also be heterogeneous, with different degrees of responsiveness to the same drug(s) across metastatic sites, termed "mixed response," within the same patient. If the variability of this treatment response is influenced by intrinsic tumor characteristics of metastatic lesions and/or the microenvironment remains unknown. Through genomic analysis of multiple metastases from the same patient, assayed in 6 different patients who had exhibited mixed response on imaging, we identified that higher regulatory T cells (T reg) and CDKN2A gene expression values correlate with non-response, while the KRAS gene, KRAS amplicon, and CD8T cells were associated with response in individual metastases. These genomic features may explain mixed clinical responses and offer valuable insights into intra-patient variations in treatment sensitivity.

UNDERSTANDING METASTASIS MIXED - TREATMENT RESPONSES THROUGH GENOMIC ANALYSES.

ZAGAMI, PAOLA
2024

Abstract

Early and metastatic breast cancers can exhibit heterogeneity, among patients and even within the same individual. Response to therapy in metastatic breast cancer patients with multiple metastases can also be heterogeneous, with different degrees of responsiveness to the same drug(s) across metastatic sites, termed "mixed response," within the same patient. If the variability of this treatment response is influenced by intrinsic tumor characteristics of metastatic lesions and/or the microenvironment remains unknown. Through genomic analysis of multiple metastases from the same patient, assayed in 6 different patients who had exhibited mixed response on imaging, we identified that higher regulatory T cells (T reg) and CDKN2A gene expression values correlate with non-response, while the KRAS gene, KRAS amplicon, and CD8T cells were associated with response in individual metastases. These genomic features may explain mixed clinical responses and offer valuable insights into intra-patient variations in treatment sensitivity.
19-dic-2024
Inglese
CURIGLIANO, GIUSEPPE
DEL FABBRO, MASSIMO
Università degli Studi di Milano
56
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/188123
Il codice NBN di questa tesi è URN:NBN:IT:UNIMI-188123