Related Experiment Video
Updated: Jan 31, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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.
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.
Purpose:
Relevant factors can have shifting prognostic impacts on cardiovascular disease (CVD) occurrences among in patients with breast cancer (BC) over time. CVD incidence and its driving factors vary among different CVDs. We examined the time to the first occurrence of heart attack, atrial fibrillation, embolic stroke, angina pectoris, embolism, peripheral vascular disease, and heart failure (HF). We particularly focused on the influence of molecular subtype, adjusting for age, tumor stage, and radiation therapy.
Methods:
The 36,605 women diagnosed with BC from the Norwegian Cancer Registry were included. Cox regression analyses were performed for the first time for six CVDs, with death treated as a competing risk. The association between the time to first CVD diagnosis and the patient's molecular subtype was calculated. Because the Cox proportional hazard assumption was not met, a random survival forest (RSF) analysis was conducted.
Results:
The association between the time to the first CVD and the patient's molecular subtype differed for each CVD and was non-linear for HF. The time-varying cardiovascular risk in human epidermal growth factor receptor 2 (HER2)-positive versus HER2-negative breast cancer patients reflects differences in treatment, biology, and patient profiles. HER2-positive patients face early cardiotoxicity due to targeted therapies and are closely monitored, while HER2-negative patients, often older with higher baseline CVD risk, may experience delayed detection due to less routine cardiac surveillance. In ranking the factors with respect to their predictive importance for time to first HF, molecular subtype emerged as the second most important factor, followed by age.
Conclusion:
Time to HF depends on the molecular subtype in a time-dependent manner. RSF analyses can identify complex relationships between predictors and survival without the Cox proportional hazard assumption, providing important insights into how patient and treatment factors are associated with time to CVD.
Related Concept Videos
Gradually Varying Flow
Rapidly Varying Flow
Predicting Reaction Outcomes
Outcomes of Glycolysis
Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate...
Overview of the Cardiovascular System
Heart
The heart is the central pump of the cardiovascular system that circulates blood throughout the body. It comprises two atria receiving the blood and two ventricles pumping blood out of the heart. Their rhythmic contractions, called heartbeats, ensure that blood flow remains continuous.
Blood Vessels
Blood...
Framing Effects

