ReviewBreast cancer research and treatment2021
Heart failure prevention and monitoring strategies in HER2-positive breast cancer: a narrative review.
Review in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Signaling pathways and potential therapeutic agents in trastuzumab-induced cardiotoxicity.Apoptosis : an international journal on programmed cell death · 2026Review
- Regulatory T cells in the breast cancer tumor microenvironment: new mechanisms, potential therapeutic strategies and future perspectives.American journal of cancer research · 2026Review
- The cardio-oncologic burden of breast cancer: molecular mechanisms and importance of preclinical models.Basic research in cardiology · 2025Review
- Article
- Circulating Cardiovascular Biomarkers in Cancer Therapeutics-Related Cardiotoxicity: Review of Critical Challenges, Solutions, and Future Directions.Journal of the American Heart Association · 2023Review
- Metformin synergistically increases the anticancer effects of lapatinib through induction of apoptosis and modulation of Akt/AMPK pathway in SK-BR3 breast cancer cell line.Iranian journal of basic medical sciences · 2021Article
- Potential Influence of Duchenne Muscular Dystrophy Carrier on Breast Cancer Treatment-Related Cardiomyopathy: A Case Report.Case reports in oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCardiotoxicity from anti-human epidermal growth factor receptor 2 (HER2) therapy carries a short- and long-term risk of incident heart failure and increased cardiovascular mortality in patients with breast cancer. Interruptions in anti-HER2 therapy due to cardiotoxicity can lead to suboptimal cancer treatment. The purpose of this narrative review is to outline opportunities to optimize cardiovascular care in patients with HER2-positive breast cancer to prevent interruptions in therapy.
methodsThis case-based review presents the current literature on evidence-based strategies for personalized cardiotoxicity risk assessment, risk mitigation interventions, cardiac function surveillance tools, and management of asymptomatic left ventricular dysfunction in breast cancer patients receiving anti-HER2 therapy.
resultsPretreatment cardiac risk assessment incorporates both treatment-related risk factors and patient-related risk factors for the development of cardiac dysfunction. Prevention and monitoring strategies while on treatment utilize risk factor modification, imaging and biomarker surveillance. Management of asymptomatic left ventricular dysfunction due to anti-HER2 therapy is evolving. Permissive cardiotoxicity in asymptomatic patients while starting cardioprotective therapies requires close collaboration between oncology and cardiology, and referral to cardio-oncology if available.
conclusionsPatient-centered, multimodal strategies to prevent, detect, and manage cardiotoxicity from anti-HER2 therapy are necessary to improve outcomes in patients with HER2-positive breast cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.