Abstract PS2-10-19: Circulating tumor DNA (ctDNA) as a strong prognostic biomarker of minimal residual disease (MRD) using a tissue-free, epigenomic assay in early-stage breast cancer

Abstract Background: ctDNA may serve as an early biomarker of recurrence and could facilitate identification of patients with asymptomatic distant metastasis who might benefit from early treatment intervention. Here, we utilized a tissue-free, epigenomic assay for the detection of ctDNA in patients with early-stage breast cancer. Patients and Methods: Plasma samples were analyzed in 359 patients with stage I-III breast cancer who were enrolled in the SUCCESS-A phase 3 clinical trial (NCT02181101). All plasma samples were collected approximately two years after completion of adjuvant chemotherapy from patients without evidence of prior disease recurrence. In this updated analysis of a previously presented study, samples were re-analyzed using the Guardant Reveal assay featuring an updated bioinformatics algorithm for ctDNA detection. This algorithm was independently trained and validated in breast cancer samples. The primary objective of the ctDNA analysis was to predict distant metastatic recurrence from a single post-treatment time point in patients with early-stage breast cancer. Results: Out of 359 samples tested, 313 (87.2%) were evaluable; 46 samples failed quality control (QC) due to low plasma cfDNA levels and low ctDNA enrichment. The ctDNA positivity rate was 5.8% (18/313), and ctDNA positivity was strongly associated with worse outcomes, including a significantly shorter distant recurrence-free interval (HR 33.3, 95% CI 4.12-268, p<0.0001) and poorer overall survival (HR 27.3, 95% CI 1.15-647, p<0.0001). The sensitivity for distant recurrence in patients who had a sample collected within one year of recurrence was 73% (11/15). Of all ctDNA-positive samples, 94% (17/18) were from patients who subsequently developed a distant recurrence, with ctDNA detected at a median interval of 7.9 months prior to recurrence. The negative predictive value for distant recurrence was 93% (274/295), and the specificity was 99.6% (267/268). Conclusion: Detection of ctDNA approximately two years after adjuvant chemotherapy was highly prognostic in this early-stage breast cancer cohort. These data support the conduct of treatment intervention trials for patients with molecular relapse and negative staging for distant metastases to demonstrate clinical utility. Citation Format: W. Janni, B. Rack, P. A. Fasching, A. Hartkopf, H. Tesch, R. Lorenz, G. Heinrich, J. Blohmer, T. Fehm, V. Müller, A. Schneeweiss, M. W. Beckmann, M. Rübner, N. Harbeck, K. Pantel, D. Dustin, M. Cai, T. W. Friedl. Circulating tumor DNA (ctDNA) as a strong prognostic biomarker of minimal residual disease (MRD) using a tissue-free, epigenomic assay in early-stage breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-10-19.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps2-10-19
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS2-10-19: Circulating tumor DNA (ctDNA) as a strong prognostic biomarker of minimal residual disease (MRD) using a tissue-free, epigenomic assay in early-stage breast cancer

Robert R. Lorenz, Brigitte Rack, G. Heinrich, Derek Dustin et al.
Clinical Cancer Research
Cancer Genomics and Diagnostics
article

Abstract PS2-10-19: Circulating tumor DNA (ctDNA) as a strong prognostic biomarker of minimal residual disease (MRD) using a tissue-free, epigenomic assay in early-stage breast cancer

Robert R. Lorenz, Brigitte Rack, G. Heinrich, Derek Dustin, Klaus Pantel, M. W. Beckmann, H. Tesch, P. A. Fasching, T. Fehm, V. Müller, M. Rübner, A. Hartkopf, J. Blohmer, T. W. Friedl, W. Janni, N. Harbeck, A. Schneeweiss, M. Cai
article en

Abstract

Abstract Background: ctDNA may serve as an early biomarker of recurrence and could facilitate identification of patients with asymptomatic distant metastasis who might benefit from early treatment intervention. Here, we utilized a tissue-free, epigenomic assay for the detection of ctDNA in patients with early-stage breast cancer. Patients and Methods: Plasma samples were analyzed in 359 patients with stage I-III breast cancer who were enrolled in the SUCCESS-A phase 3 clinical trial (NCT02181101). All plasma samples were collected approximately two years after completion of adjuvant chemotherapy from patients without evidence of prior disease recurrence. In this updated analysis of a previously presented study, samples were re-analyzed using the Guardant Reveal assay featuring an updated bioinformatics algorithm for ctDNA detection. This algorithm was independently trained and validated in breast cancer samples. The primary objective of the ctDNA analysis was to predict distant metastatic recurrence from a single post-treatment time point in patients with early-stage breast cancer. Results: Out of 359 samples tested, 313 (87.2%) were evaluable; 46 samples failed quality control (QC) due to low plasma cfDNA levels and low ctDNA enrichment. The ctDNA positivity rate was 5.8% (18/313), and ctDNA positivity was strongly associated with worse outcomes, including a significantly shorter distant recurrence-free interval (HR 33.3, 95% CI 4.12-268, p<0.0001) and poorer overall survival (HR 27.3, 95% CI 1.15-647, p<0.0001). The sensitivity for distant recurrence in patients who had a sample collected within one year of recurrence was 73% (11/15). Of all ctDNA-positive samples, 94% (17/18) were from patients who subsequently developed a distant recurrence, with ctDNA detected at a median interval of 7.9 months prior to recurrence. The negative predictive value for distant recurrence was 93% (274/295), and the specificity was 99.6% (267/268). Conclusion: Detection of ctDNA approximately two years after adjuvant chemotherapy was highly prognostic in this early-stage breast cancer cohort. These data support the conduct of treatment intervention trials for patients with molecular relapse and negative staging for distant metastases to demonstrate clinical utility. Citation Format: W. Janni, B. Rack, P. A. Fasching, A. Hartkopf, H. Tesch, R. Lorenz, G. Heinrich, J. Blohmer, T. Fehm, V. Müller, A. Schneeweiss, M. W. Beckmann, M. Rübner, N. Harbeck, K. Pantel, D. Dustin, M. Cai, T. W. Friedl. Circulating tumor DNA (ctDNA) as a strong prognostic biomarker of minimal residual disease (MRD) using a tissue-free, epigenomic assay in early-stage breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-10-19.

Clinical Cancer ResearchVol. 32(4_Supplement)
Universität Hamburg (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), LMU Klinikum (DE), Universitätsklinikum Erlangen (DE), Düsseldorf University Hospital (DE), Guardant (United States) (US), University Medical Center Hamburg-Eppendorf (DE), National Center for Tumor Diseases (DE), München Klinik (DE), University Children's Hospital Tübingen (DE), Praxis für Humangenetik (DE), Praxis für Hämatologie und Onkologie (DE), University Hospital Ulm (DE), Heinrich Heine University Düsseldorf (DE), Charité - Universitätsmedizin Berlin (DE), University of Tübingen (DE), Ludwig-Maximilians-Universität München (DE)
No poverty
Openalex Percentile: Top 47%
Cancer Genomics and Diagnostics
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.