Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers

Li-Fraumeni syndrome (LFS) confers high lifetime cancer risk due to germline TP53 pathogenic variants (PV). A comprehensive surveillance regimen termed the 'Toronto Protocol', has been adopted for early tumor detection, demonstrating improved survival among TP53 PV carriers. However, the protocol's "one-size-fits-all" approach fails to consider individual cancer risk. To personalize screening, we developed a support vector machine model to predict early onset of primary tumors (age < 6) using peripheral blood methylation data of TP53 PV carriers (n = 237). Validation (n = 64) and external testing (n = 79) showed AUROC = 0.928 [0.835-1.000], F1-score = 0.692 [0.435-0.867], and NPV = 0.984 [0.946-1.000]. The model achieved 91% accuracy, correctly classifying 90% of patients with cancer before the age of six and 87% of cancer-free individuals in the external test set. Our tool enables risk stratification for early-onset malignancies, to optimize clinical surveillance and improve patient outcomes.

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Publication Details

Journal
Nature Communications
Published
2025-08-26
DOI
https://doi.org/10.1038/s41467-025-62894-5
Citations
1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.81

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article

Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers

Anita Villani, Sharon A. Savage, Ledia Brunga, Vallijah Subasri et al.
1 citations
Nature Communications
Epigenetics and DNA Methylation
0.81
article

Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers

Anita Villani, Sharon A. Savage, Ledia Brunga, Vallijah Subasri, Kim E. Nichols, Jordan R. Hansford, Joshua David Schiffman, Haifan Gong, Jodi Lees, Brianne Laverty, Payal P. Khincha, Elizabeth Cairney, Kelvin C. de Andrade, Tanya Guha, Jo Anson, Christine Elser, Carol Portwine, Trevor J. Pugh, Jonathan L. Finlay, Benjamin Brew, Wendy Kohlmann, Noa Alon, Anna Goldenberg, David M. Malkin, Lauren Erdman
article en
1 citations

Abstract

Li-Fraumeni syndrome (LFS) confers high lifetime cancer risk due to germline TP53 pathogenic variants (PV). A comprehensive surveillance regimen termed the 'Toronto Protocol', has been adopted for early tumor detection, demonstrating improved survival among TP53 PV carriers. However, the protocol's "one-size-fits-all" approach fails to consider individual cancer risk. To personalize screening, we developed a support vector machine model to predict early onset of primary tumors (age < 6) using peripheral blood methylation data of TP53 PV carriers (n = 237). Validation (n = 64) and external testing (n = 79) showed AUROC = 0.928 [0.835-1.000], F1-score = 0.692 [0.435-0.867], and NPV = 0.984 [0.946-1.000]. The model achieved 91% accuracy, correctly classifying 90% of patients with cancer before the age of six and 87% of cancer-free individuals in the external test set. Our tool enables risk stratification for early-onset malignancies, to optimize clinical surveillance and improve patient outcomes.

Nature CommunicationsVol. 16(1)
Canadian Institute for Advanced Research (CA), Ontario Institute for Cancer Research (CA), Western University (CA), Mount Sinai Hospital (CA), National Institutes of Health (US), St. Jude Children's Research Hospital (US), Royal Children's Hospital (AU), University Health Network (CA), The University of Melbourne (AU), University of Toronto (CA), University of Utah (US), London Health Sciences Centre (CA), Huntsman Cancer Institute (US), Women's and Children's Hospital (AU), Hospital for Sick Children (CA), Princess Margaret Cancer Centre (CA), Vector Institute (CA), South Australian Health and Medical Research Institute (AU), Centre for Cancer Biology (AU), National Cancer Institute (US), SickKids Foundation (CA), Murdoch Children's Research Institute (AU), The Ohio State University (US), The University of Adelaide (AU), McMaster University (CA)
Ohio State University, Canadian Institute for Advanced Research, London Health Sciences Centre, McMaster University, Huntsman Cancer Institute, Children’s Hospital of Wisconsin Research Institute, Murdoch Children's Research Institute, Canada Research Chairs, University of Toronto, Terry Fox Research Institute, Hospital for Sick Children, Robert Connor Dawes Foundation, National Institutes of Health, Garron Family Cancer Centre, National Cancer Institute, CIHR Skin Research Training Centre, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Openalex Percentile: Top 24%
Epigenetics and DNA Methylation
0.81
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