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Published on: June 7, 2018
Use of hiPSC to explicate genomic predisposition to anthracycline-induced cardiotoxicity
Tarek Magdy1,2, Paul W Burridge1,2
1Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Abstract:
The anticancer agents of the anthracycline family are commonly associated with the potential to cause severe toxicity to the heart. To solve the question of why particular a patient is predisposed to anthracycline-induced cardiotoxicity (AIC), researchers have conducted numerous pharmacogenomic studies and identified more than 60 loci associated with AIC. To date, none of these identified loci have been developed into US FDA-approved biomarkers for use in routine clinical practice. With advances in the application of human-induced pluripotent stem cell-derived cardiomyocytes, sequencing technologies and genomic editing techniques, variants associated with AIC can now be validated in a human model. Here, we provide a comprehensive overview of known genetic variants associated with AIC from the perspective of how human-induced pluripotent stem cell-derived cardiomyocytes can be used to help better explain the genomic predilection to AIC.
Insights
Researchers are exploring genetic factors influencing heart damage from anthracycline chemotherapy. Human stem cell-derived heart cells offer a new way to validate genetic variants linked to anthracycline-induced cardiotoxicity (AIC).
Area of Science:
- Pharmacogenomics
- Cardiology
- Stem Cell Biology
Background:
- Anthracyclines are potent anticancer drugs but can cause severe heart damage.
- Anthracycline-induced cardiotoxicity (AIC) susceptibility varies among patients.
- Over 60 genetic loci linked to AIC have been identified, but none are clinically validated biomarkers.
Purpose of the Study:
- To provide an overview of genetic variants associated with AIC.
- To highlight the potential of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) in validating these variants.
- To explain the genomic basis of patient predisposition to AIC.
Main Methods:
- Review of existing pharmacogenomic studies on AIC.
- Discussion of advancements in sequencing and genomic editing.
- Application of hiPSC-CMs for functional validation of genetic variants.
Main Results:
- Numerous genetic loci associated with AIC have been identified through pharmacogenomic studies.
- hiPSC-CMs provide a human model for validating the functional impact of AIC-associated genetic variants.
- This approach facilitates a deeper understanding of AIC's genomic underpinnings.
Conclusions:
- Genetic factors significantly influence an individual's risk of AIC.
- hiPSC-CMs represent a promising platform for validating AIC genetic biomarkers.
- Further research using hiPSC-CMs could lead to personalized AIC risk assessment and prevention strategies.
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