Investigating Time-Varying Predictor Effects on Cardiovascular Outcomes in Breast Cancer Survivors

Ingunn Fride Tvete1, Marianne Klemp2

  • 1Department of Statistical Modelling and Machine Learning, Norwegian Computing Center, Oslo, Norway. Ingunn.fride.tvete@nr.no.

Journal of Breast Cancer
|January 30, 2026
PubMed

Insights

Cardiovascular disease risk in breast cancer patients varies by molecular subtype over time. Heart failure risk is particularly influenced by subtype, highlighting the need for personalized monitoring strategies.

Area of Science:

  • Oncology
  • Cardiology
  • Epidemiology

Background:

  • Cardiovascular disease (CVD) is a significant concern for breast cancer (BC) survivors.
  • Prognostic factors for CVD can change over time and differ based on the type of CVD.
  • Understanding these dynamics is crucial for effective patient management.

Purpose of the Study:

  • To examine the time to first occurrence of six CVDs in BC patients.
  • To investigate the influence of molecular subtype on CVD risk, adjusting for age, tumor stage, and radiation therapy.
  • To analyze time-dependent associations between BC molecular subtypes and CVD incidence.

Main Methods:

  • Utilized data from 36,605 women diagnosed with BC in the Norwegian Cancer Registry.
  • Employed Cox regression analyses with death as a competing risk for six CVDs.
  • Applied random survival forest (RSF) analysis to capture non-linear and time-varying relationships.

Main Results:

  • The association between molecular subtype and time to first CVD varied across different CVD types.
  • Heart failure (HF) risk showed a non-linear relationship with molecular subtype.
  • Molecular subtype was the second most important predictor for time to first HF, after age.

Conclusions:

  • Time to heart failure is dependent on breast cancer molecular subtype in a time-dependent manner.
  • Random survival forest analysis effectively identifies complex predictor-survival relationships.
  • These findings underscore the importance of considering molecular subtype in CVD risk assessment for BC patients.
Abstract

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