Predicting heart risks from breast cancer treatments
Official title: Risk prediction of breast cancer treatment-related cardiotoxicity to guide clinical decision making
Funded at Kaiser Foundation Research Institute · NIH-10689025 · Data updated 2026-11-12
This study is looking at how different breast cancer treatments might affect your heart health, so that doctors and patients can choose options that keep your heart safe while fighting cancer.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project start | July 1, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $368,787 |
| NIH project number | 5R01HL154319-04 |
| Project ID | NIH-10689025 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are women diagnosed with stages I to III breast cancer who are considering adjuvant therapies.
✕Less likely to help
Patients with advanced breast cancer or those who are not receiving adjuvant therapies may not benefit from this research.
What this research studies
This research investigates the cardiovascular risks associated with various treatments for breast cancer, focusing on how these risks can be predicted based on individual patient factors. By developing a risk model, the study aims to help healthcare providers and patients make informed decisions about treatment options that minimize the risk of heart-related complications. The approach includes analyzing data from breast cancer survivors and identifying key cardiovascular risk factors that may influence treatment outcomes. The goal is to enhance the quality of life for breast cancer survivors by addressing potential heart issues before they arise.
Why it matters
Potential benefit: If successful, this research could lead to safer treatment plans for breast cancer patients, reducing the risk of heart disease and improving overall quality of life.
How similar studies have gone: Previous research has shown that risk prediction models can effectively guide treatment decisions in other cancer types, suggesting potential success for this approach in breast cancer.
Where this research is happening
-
Kaiser Foundation Research Institute
Oakland, United States Active
Researchers
- Principal investigator: Haque, Reina — Kaiser Foundation Research Institute
- Study coordinator: Haque, Reina
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.