{
  "abstract": "Cancer therapy-related cardiovascular toxicity (CTR-CVT) is associated with morbidity, mortality, and interruptions to cancer treatment. Current cardio-oncology clinical assessment tools generally rely on a limited range of clinical data; however, in the era of precision medicine, it may be possible to leverage multimodal data, including imaging and multi-omic inputs, to personalise CTR-CVT prediction and assessment. In this review, we examine the genotypic and phenotypic predictors of CTR-CVT and the evidence supporting their incorporation into multimodal risk models. Most research focuses on cancer therapy-related cardiac dysfunction (CTRCD). We identify a strong evidence base for multimodal imaging-guided prediction, particularly cardiovascular magnetic resonance (CMR) and transthoracic echocardiography (TTE)-derived global longitudinal strain measurements. Emerging evidence also supports the potential value of novel imaging parameters, including computed tomography (CT) and TTE-derived radiomic features. From the genomic and proteomic perspective, truncating titin variants and microRNA-126 may be informative predictors of cancer therapy-related cardiac dysfunction (CTRCD). At the same time, the literature also highlights potential epigenomic markers of CTR-CVT. Finally, we consider how these diverse data can be integrated into multimodal risk models and how digital innovation and advanced machine learning methods may further improve model predictive performance. However, a large implementation gap remains, with challenges such as data privacy and a lack of external validation studies preventing routine clinical implementation.",
  "abstract_shown": true,
  "affiliations": [
    "Cardio-Oncology Service, University College London Hospitals NHS Foundation Trust, London NW1 2PG, UK",
    "Hatter Cardiovascular Institute, University College London, London WC1E 6HX, UK",
    "Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AD, UK",
    "Faculty of Medical Sciences, University College London, London WC1E 6BT, UK",
    "Velindre Cancer Centre, Velindre University NHS Trust, Cardiff CF14 2TL, UK",
    "Global Business School for Health, Faculty of Population Health Sciences, University College London, London E20 2AE, UK",
    "Department of Cardiology, London North West University Healthcare NHS Trust, London HA1 3UJ, UK",
    "National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW3 6LY, UK",
    "Oncology and Cardio-Oncology Services, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK",
    "Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London NW1 2DA, UK",
    "Cardio-Oncology Service, Barts Heart Centre, Barts Health NHS Trust, London EC1A 7BE, UK",
    "William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Faculty of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK"
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Carl Simela",
      "orcid": "0009-0003-0324-8482"
    },
    {
      "affs": [
        2
      ],
      "name": "Ishikaa Mukherjee",
      "orcid": "0009-0005-5640-2812"
    },
    {
      "affs": [
        3
      ],
      "name": "Abhinav Kandala"
    },
    {
      "affs": [
        0,
        1,
        4,
        5
      ],
      "name": "Aruni Ghose"
    },
    {
      "affs": [
        6,
        7
      ],
      "name": "Turja Chakraborty"
    },
    {
      "affs": [
        8
      ],
      "name": "Navin Mathiyalagan",
      "orcid": "0009-0006-5744-9820"
    },
    {
      "affs": [
        9
      ],
      "name": "Amitava Banerjee"
    },
    {
      "affs": [
        0,
        1,
        10,
        11
      ],
      "name": "Arjun K. Ghosh"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8p3s6hfntcdys.bib",
  "cited_by": 0,
  "doi": "10.3390/cancers18203271",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702303/?tool=EBI",
  "id": "8p3s6hfntcdys",
  "issns": [
    "2072-6694"
  ],
  "landing_url": "https://www.mdpi.com/2072-6694/18/20/3271",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2705|Chemotherapy-induced cardiotoxicity and mitigation"
    ]
  ],
  "openalex": "W7221534030",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702303/pdf/?tool=EBI",
  "pmcid": "PMC13702303",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/8p3s6hfntcdys.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:58Z",
      "native_id": "10.3390/cancers18203271",
      "source": "crossref",
      "url": "https://www.mdpi.com/2072-6694/18/20/3271"
    },
    {
      "first_seen": "2026-10-30T12:21:40Z",
      "native_id": "PMC:PMC13702303",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13702303"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2705|Chemotherapy-induced cardiotoxicity and mitigation",
      "subfield": "cardiovascular"
    }
  ],
  "title": "Precision Cardio-Oncology: A Multimodal Approach to Cancer Therapy-Related Cardiovascular Toxicity Prediction and Assessment",
  "title_text": "Precision Cardio-Oncology: A Multimodal Approach to Cancer Therapy-Related Cardiovascular Toxicity Prediction and Assessment",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:21:40Z",
  "url": "https://research.draconitic.com/paper/8p3s6hfntcdys",
  "venue": "Cancers",
  "versions": []
}