TRPC6 Study for Chemotherapy-Related Heart Problems in Breast Cancer
This study is looking at how a specific gene, TRPC6, might help predict and prevent heart problems in breast cancer patients receiving certain chemotherapy drugs like doxorubicin (an anthracycline) or trastuzumab. Some cancer treatments can affect the heart, and understanding these changes could lead to earlier help and new ways to protect your heart health long-term. Researchers will collect blood samples and review your medical records to study changes in your DNA. This will help them identify markers related to heart toxicity and potentially prevent these issues in patients undergoing chemotherapy. The study aims to understand the significance of TRPC6 gene variations. It is currently unclear if this study is recruiting new participants.
- Study design
- This is an observational study planning to enroll 200 participants. It is designed to look at information from patients without giving them a specific treatment.
- What's involved
- You would provide blood samples at the start of the study, and possibly more if you develop heart toxicity. Your medical records would also be reviewed.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, looking at TRPC6 gene sequencing, will be measured up to study completion, which could be up to four years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
TRPC6 Characterization to Predict and Prevent Chemotherapy Related Cardiomyopathy and Heart Failure With Breast Cancer
At a glance
Conditions
Where it's being run
2 sites across 1 statesStudy leadership
- Nadine Norton, Ph.D. · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Significance ofTRPC6 coding sequencingUp to study completion, up to four years to completion.
Will compare the prevalence of rare missense variants in our cases against the null hypothesis to assess the significance of TRPC6 coding sequencing data in patients with dox-induced heart failure (HF). Will use an exploratory analysis to estimate the prevalence, 95% confidence intervals and p-values depending on the number of patients with rare variants in the data set and due to the rarity (i.e. high degree of conservation in the TRPC6 coding sequence).Other methods include biospecimen collection and the TRPC6 coding sequence. Data collected will be stored in a database and studied by the PI.