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Prediction of plasma ctDNA fraction and prognostic implications of liquid biopsy in advanced prostate cancer

Authors :
Nicolette M. Fonseca
Corinne Maurice-Dror
Cameron Herberts
Wilson Tu
William Fan
Andrew J. Murtha
Catarina Kollmannsberger
Edmond M. Kwan
Karan Parekh
Elena Schönlau
Cecily Q. Bernales
Gráinne Donnellan
Sarah W. S. Ng
Takayuki Sumiyoshi
Joanna Vergidis
Krista Noonan
Daygen L. Finch
Muhammad Zulfiqar
Stacy Miller
Sunil Parimi
Jean-Michel Lavoie
Edward Hardy
Maryam Soleimani
Lucia Nappi
Bernhard J. Eigl
Christian Kollmannsberger
Sinja Taavitsainen
Matti Nykter
Sofie H. Tolmeijer
Emmy Boerrigter
Niven Mehra
Nielka P. van Erp
Bram De Laere
Johan Lindberg
Henrik Grönberg
Daniel J. Khalaf
Matti Annala
Kim N. Chi
Alexander W. Wyatt
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract No consensus strategies exist for prognosticating metastatic castration-resistant prostate cancer (mCRPC). Circulating tumor DNA fraction (ctDNA%) is increasingly reported by commercial and laboratory tests but its utility for risk stratification is unclear. Here, we intersect ctDNA%, treatment outcomes, and clinical characteristics across 738 plasma samples from 491 male mCRPC patients from two randomized multicentre phase II trials and a prospective province-wide blood biobanking program. ctDNA% correlates with serum and radiographic metrics of disease burden and is highest in patients with liver metastases. ctDNA% strongly predicts overall survival, progression-free survival, and treatment response independent of therapeutic context and outperformed established prognostic clinical factors. Recognizing that ctDNA-based biomarker genotyping is limited by low ctDNA% in some patients, we leverage the relationship between clinical prognostic factors and ctDNA% to develop a clinically-interpretable machine-learning tool that predicts whether a patient has sufficient ctDNA% for informative ctDNA genotyping (available online: https://www.ctDNA.org ). Our results affirm ctDNA% as an actionable tool for patient risk stratification and provide a practical framework for optimized biomarker testing.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723 and 14631172
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6914ec1e3ba942ee99b1463117270db9
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-45475-w