Longitudinal evaluation of circulating tumor DNA in patients undergoing neoadjuvant therapy for early breast cancer using a tumor-informed assay

Circulating tumor DNA (ctDNA) is an emerging biomarker for the treatment of early breast cancer (EBC). We sought to evaluate a highly sensitive tumor-informed ctDNA assay in a real-world cohort of patients receiving neoadjuvant therapy (NAT) to assess clinical validity and explore prognostic outcomes. ctDNA is detected in 77.2% (88/114) of participants at baseline, with 18/88 (20.5%) having a baseline estimated variant allele frequency (eVAF) of <0.01%. Persistent detection of ctDNA, measured midway through NAT (mid-NAT), is associated with disease recurrence in all participants, reaching statistical significance in those with HER2-negative disease. Stratified analyses demonstrate that ctDNA detected mid-NAT enhances the prognostic accuracy of the residual cancer burden (RCB) score for disease recurrence. Postoperative or follow-up detection of ctDNA demonstrates a 100% positive predictive value for disease recurrence, with a median lead time of 374 days (range: 13-1010 days). These data suggest that assays with high analytical sensitivity may improve baseline ctDNA detection in patients with EBC. The ability to replicate the prognostic association of ctDNA dynamics in a real-world cohort supports further investigation. Prospective trials incorporating ctDNA testing are warranted to assess and develop the clinical utility of ctDNA-guided treatment strategies.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-02-21
DOI
https://doi.org/10.1038/s41467-025-56658-4
Citations
16
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
14.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal evaluation of circulating tumor DNA in patients undergoing neoadjuvant therapy for early breast cancer using a tumor-informed assay

Lillian L. Siu, Mitchell J. Elliott, Sasha Main, Robert Ventura et al.
16 citations
Nature Communications
Cancer Genomics and Diagnostics
14.98
article

Longitudinal evaluation of circulating tumor DNA in patients undergoing neoadjuvant therapy for early breast cancer using a tumor-informed assay

Lillian L. Siu, Mitchell J. Elliott, Sasha Main, Robert Ventura, Jesús Fuentes‐Antrás, Christodoulos Pipinikas, Nathan Campbell, Hal K. Berman, Philippe Lucien Bedard, Elizabeth Shah, Eshetu G. Atenafu, David W. Cescon, Celeste Yu, Zachary Veitch, Aaron Dou, Philippe Echelard, Michelle B. Nadler, Nicholas Meti, Eitan Amir
article en
16 citations

Abstract

Circulating tumor DNA (ctDNA) is an emerging biomarker for the treatment of early breast cancer (EBC). We sought to evaluate a highly sensitive tumor-informed ctDNA assay in a real-world cohort of patients receiving neoadjuvant therapy (NAT) to assess clinical validity and explore prognostic outcomes. ctDNA is detected in 77.2% (88/114) of participants at baseline, with 18/88 (20.5%) having a baseline estimated variant allele frequency (eVAF) of <0.01%. Persistent detection of ctDNA, measured midway through NAT (mid-NAT), is associated with disease recurrence in all participants, reaching statistical significance in those with HER2-negative disease. Stratified analyses demonstrate that ctDNA detected mid-NAT enhances the prognostic accuracy of the residual cancer burden (RCB) score for disease recurrence. Postoperative or follow-up detection of ctDNA demonstrates a 100% positive predictive value for disease recurrence, with a median lead time of 374 days (range: 13-1010 days). These data suggest that assays with high analytical sensitivity may improve baseline ctDNA detection in patients with EBC. The ability to replicate the prognostic association of ctDNA dynamics in a real-world cohort supports further investigation. Prospective trials incorporating ctDNA testing are warranted to assess and develop the clinical utility of ctDNA-guided treatment strategies.

Nature CommunicationsVol. 16(1)
University Health Network (CA), Université de Sherbrooke (CA), University of Toronto (CA), Royal Victoria Regional Health Centre (CA), Princess Margaret Cancer Centre (CA), St Mary's Hospital Centre (CA), Hospital Universitario Quirónsalud Madrid (ES), McGill University (CA)
Canadian Cancer Society Research Institute
Good health and well-being
Openalex Percentile: Top 1%
Cancer Genomics and Diagnostics
14.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.