Author
Listed:
- Vallijah Subasri
(The Hospital for Sick Children
University of Toronto
Vector Institute)
- Benjamin Brew
(The Hospital for Sick Children)
- Brianne Laverty
(The Hospital for Sick Children
University of Toronto)
- Lauren Erdman
(The Hospital for Sick Children
Vector Institute
University of Toronto)
- Tanya Guha
(The Hospital for Sick Children
University of Toronto)
- Jordan R. Hansford
(Royal Children’s Hospital
Murdoch Children’s Research Institute
University of Melbourne
Women’s and Children’s Hospital)
- Elizabeth Cairney
(Children’s Hospital at London Health Sciences Centre
Western University)
- Carol Portwine
(McMaster University)
- Christine Elser
(University of Toronto
Princess Margaret Hospital
Mount Sinai Hospital)
- Jonathan L. Finlay
(The Ohio State University College of Medicine)
- Kim E. Nichols
(St Jude Children’s Research Hospital)
- Jo Anson
(University of Utah)
- Wendy Kohlmann
(University of Utah)
- Haifan Gong
(The Hospital for Sick Children)
- Jodi Lees
(The Hospital for Sick Children)
- Noa Alon
(The Hospital for Sick Children)
- Ledia Brunga
(The Hospital for Sick Children)
- Anita Villani
(The Hospital for Sick Children
University of Toronto)
- Kelvin C. Andrade
(National Institutes of Health)
- Payal P. Khincha
(National Institutes of Health)
- Sharon A. Savage
(National Institutes of Health)
- Joshua D. Schiffman
(University of Utah)
- Trevor J. Pugh
(University of Toronto
University Health Network
Ontario Institute for Cancer Research)
- David Malkin
(The Hospital for Sick Children
University of Toronto
University of Toronto
The Hospital for Sick Children)
- Anna Goldenberg
(The Hospital for Sick Children
Vector Institute
University of Toronto
CIFAR)
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
Suggested Citation
Vallijah Subasri & Benjamin Brew & Brianne Laverty & Lauren Erdman & Tanya Guha & Jordan R. Hansford & Elizabeth Cairney & Carol Portwine & Christine Elser & Jonathan L. Finlay & Kim E. Nichols & Jo A, 2025.
"Peripheral blood DNA methylation predicts the early onset of primary tumor in TP53 mutation carriers,"
Nature Communications, Nature, vol. 16(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62894-5
DOI: 10.1038/s41467-025-62894-5
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