ArticleJACC. CardioOncology2020
Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer Survivors.
Article in JACC. CardioOncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01805778 (Novel Approaches to the Prediction, Diagnosis and Treatment of Cardiac Late Effects in Survivors of Childhood Cancer), which is not on this map. Cited by 39 papers, 4 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Novel Approaches to the Prediction, Diagnosis and Treatment of Cardiac Late Effects in Survivors of Childhood Cancer: A Multi-centre Observational Study
Who cites it
39 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Cardiotoxicity in pediatric oncology: a systematic review and meta-analysis.Pediatric research · 2026Pooled it
- Influence of genetic biomarkers on cardiac diseases in childhood cancer survivors: a systematic review.The pharmacogenomics journal · 2025Pooled it
- Clinical and cost-effectiveness of pharmacogenomic testing for anthracycline-induced cardiotoxicity in childhood cancer: a systematic review and meta-analysis.Frontiers in pharmacology · 2025Pooled it
- Pharmacogenetics of chemotherapy treatment response and -toxicities in patients with osteosarcoma: a systematic review.BMC cancer · 2022Pooled it
- Empagliflozin Protects Against Doxorubicin Cardiotoxicity: Integrative Assessment of Cardiac Kinetics and Electrophysiology Using Machine Learning in a Rat Model.Medical sciences (Basel, Switzerland) · 2026Article
- Cardiovascular Imaging for the Early Detection of Cardiotoxicity from Emerging Cancer Therapies: Mechanistic Insights Across the Pediatric and Adult Spectrum.Journal of personalized medicine · 2026Review
- Review
- Artificial intelligence in drug research and development: a review of methods and applications in drug repurposing.Briefings in bioinformatics · 2026Review
- Transcriptomic biomarkers related to cardiac disease in childhood cancer survivors: a case-control study.European heart journal · 2026Article
- Cardioprotective SNPs in SLC28A3 and lncRNA SLC28A3-AS1 result in transcriptional changes and alternative splicing to reduce doxorubicin cytotoxicity.Human molecular genetics · 2026Article
- Artificial Intelligence and the Expanding Universe of Cardio-Oncology: Beyond Detection Toward Prediction and Prevention of Therapy-Related Cardiotoxicity-A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2026Review
- Cardiovascular Care in Pediatric Cancer Survivors: Updates on Risk, Prevention, and Therapies.Current treatment options in oncology · 2025Review
- Exploring Predictive Risk Factors for Myocardial Injury in Children Treated with Anthracyclines: A Pilot Study.Cardiovascular toxicology · 2025Article
- FoxO3 Activation Alleviates Doxorubicin-Induced Cardiomyopathy by Enhancing Autophagic Flux and Suppressing mTOR/ROS Signalling.Journal of cellular and molecular medicine · 2025Article
- Early-Onset Chronic Drug-Induced Cardiomyopathy in a Pediatric Patient With Ewing Sarcoma.Cureus · 2025Article
- Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.Circulation. Genomic and precision medicine · 2025Review
- Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.Current cardiology reports · 2025Review
- Genetic Background in Patients with Cancer Therapy-Induced Cardiomyopathy.Journal of clinical medicine · 2025Review
- Discovery of plasma proteins and metabolites associated with left ventricular cardiac dysfunction in pan-cancer patients.Cardio-oncology (London, England) · 2025Article
- Genetic and epigenetic bases of long-term adverse effects of childhood cancer therapy.Nature reviews. Cancer · 2025Review
Corrections and comments
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite known clinical risk factors, predicting anthracycline cardiotoxicity remains challenging.
objectivesThis study sought to develop a clinical and genetic risk prediction model for anthracycline cardiotoxicity in childhood cancer survivors.
methodsWe performed exome sequencing in 289 childhood cancer survivors at least 3 years from anthracycline exposure. In a nested case-control design, 183 case patients with reduced left ventricular ejection fraction despite low-dose doxorubicin (≤250 mg/m
resultsThirty-one genes were differentially enriched for variants between case patients and control patients (p < 0.001). Only 42.6% case patients harbored a variant in these genes compared to 89.6% control patients (odds ratio: 0.09; 95% confidence interval: 0.04 to 0.17; p = 3.98 × 10
conclusionsOur study identified variants in cardiac injury pathway genes that protect against cardiotoxicity and informed the development of a prediction model for delayed anthracycline cardiotoxicity, and it also provided new targets in autophagy genes for the development of cardio-protective drugs. (Preventing Cardiac Sequelae in Pediatric Cancer Survivors [PCS2]; NCT01805778).
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