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Università degli Studi di Milano

UNDERSTANDING METASTASIS MIXED - TREATMENT RESPONSES THROUGH GENOMIC ANALYSES.

Abstract

dc:description

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.

Degree

thesis:*
Grantor dc:publisher
Università degli Studi di Milano
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • ZAGAMI, PAOLA
Contributors dc:contributor
  • tutor: G. Curigliano ; corelatore: L. A. Carey ; coordinatore del dottorato: M. Del Fabbro
  • Lisa Anne Carey
  • P. Zagami
  • CURIGLIANO, GIUSEPPE
  • DEL FABBRO, MASSIMO

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:air.unimi.it:2434/1122815

Chain of custody

source
Harvested from
Università degli Studi di Milano
Base URL
air.unimi.it/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

ZAGAMI, PAOLA. UNDERSTANDING METASTASIS MIXED - TREATMENT RESPONSES THROUGH GENOMIC ANALYSES.. Università degli Studi di Milano, 2024. https://hdl.handle.net/2434/1122815