Determinants of response to CDK4/6 inhibitors in the real-world setting

Agnieszka K Witkiewicz1,2, Emily Schultz3, Jianxin Wang3

  • 1Department of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14203, USA. agnieszka.witkiewicz@roswellpark.org.

NPJ Precision Oncology
|September 13, 2023
PubMed

Insights

Real-world data show that tumor features like SBR score and PR expression impact CDK4/6 inhibitor effectiveness in breast cancer. Gene expression changes during treatment also predict progression-free survival.

Area of Science:

  • Oncology
  • Molecular Biology
  • Clinical Research

Background:

  • CDK4/6 inhibitors combined with endocrine therapy are standard for HR+/HER2- breast cancer.
  • Real-world data on disease evolution and treatment response determinants are limited.

Purpose of the Study:

  • To explore disease features and determinants of progression-free survival (PFS) and overall survival (OS) in patients receiving CDK4/6 inhibitors and endocrine therapy.
  • To analyze pathological and biological features associated with treatment response.

Main Methods:

  • Retrospective analysis of 280 patients treated with palbociclib plus aromatase inhibitor (AI) or fulvestrant (FUL).
  • Evaluation of modified Scarff-Bloom-Richardson (SBR) scores and ER, HER2, PR expression.
  • Gene expression profiling of pretreatment biopsies and during treatment.

Main Results:

  • SBR score and lack of PR expression were linked to shorter PFS in AI combinations (HR=3.86).
  • Gene expression revealed changes in cell cycle and estrogen receptor signaling during treatment.
  • Luminal B, HER2, and basal subtypes showed shorter PFS but not OS.
  • Cell cycle gene sets correlated with shorter PFS; estrogen receptor signaling with longer PFS in AI cohort.

Conclusions:

  • Distinct pathological and biological features of HR+/HER2- breast cancer influence response to CDK4/6 inhibitors.
  • SBR score, PR expression, and specific gene expression profiles are important predictive markers.
  • Understanding these features can optimize treatment strategies for breast cancer.

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