Integration of pre‑existing cardiovascular comorbidity into CDK4/6 inhibitor selection for breast cancer

Chanhyun Park1, Kiyoung Kim2, Nora B Abifaraj2

  • 1College of Pharmacy, The University of Texas at Austin, 2409 University Avenue, Austin, TX 78712, USA.

PubMed

Insights

Ribociclib is more often prescribed for breast cancer patients with hypertension, despite its higher cardiovascular risks compared to palbociclib and abemaciclib. Tailoring CDK4/6 inhibitor selection based on cardiovascular risk may prevent adverse events.

Area of Science:

  • Oncology
  • Cardiology
  • Pharmacology

Background:

  • Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors vary in cardiovascular (CV) safety profiles.
  • Ribociclib is associated with a greater risk of CV adverse events than palbociclib and abemaciclib.

Purpose of the Study:

  • To investigate CDK4/6 inhibitor prescribing patterns in breast cancer patients with pre-existing cardiovascular disease (CVD) or cardiometabolic conditions.
  • To assess the association between hypertension, hyperlipidemia, diabetes, and the choice of CDK4/6 inhibitor.

Main Methods:

  • Retrospective cohort study utilizing 2017-2021 Merative MarketScan claims data.
  • Identified women aged 18+ with breast cancer initiating a first CDK4/6 inhibitor.
  • Multinomial logistic regression analyzed odds of initiating palbociclib or abemaciclib versus ribociclib, adjusting for CVD and cardiometabolic risk factors.

Main Results:

  • Among 5002 patients, no risk factor significantly influenced drug choice in unadjusted analyses.
  • Hypertension was associated with significantly lower odds of initiating palbociclib (AOR 0.67) and abemaciclib (AOR 0.60) compared to ribociclib.
  • Pre-existing CVD, hyperlipidemia, and diabetes were not significantly associated with CDK4/6 inhibitor selection.

Conclusions:

  • Ribociclib is disproportionately prescribed to breast cancer patients with hypertension, despite its CV safety concerns.
  • Current CDK4/6 inhibitor selection may not adequately account for patient cardiovascular risk.
  • Integrating CV risk prediction into treatment decisions could mitigate potential CV complications.
Abstract

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