Evidence map›Paper›PMID 40475151›Full record

ArticlemedRxiv : the preprint server for health sciences2025

MammaTrace - a cell-free DNA methylation plasma only assay for minimal residual disease detection in breast cancer patients.

David N Buckley, Alex J Kalfa, Gerald Gooden, Juan Pablo Lewinger, Marissa Pacheco, Jessica Gayton, Darcy Spicer, John Carpten, Daphne Stewart, Heinz-Josef Lenz and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Gerald Gooden
Juan Pablo LewingerORCID 0000-0002-0692-2570
Marissa Pacheco
Jessica Gayton
Darcy Spicer
John Carpten
Daphne Stewart
Heinz-Josef Lenz
Chanita Hughes Halbert
Caryn Lerman
Joyce O'Shaughnessy
Barbara Pockaj
Bodour Salhia

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VERONICA WENDY SETIAWAN · 1985 to 2026
$181.4M
Circulating DNA methylation biomarkers in micrometastatic breast cancerR01CA201352 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SALHIA, BODOUR · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA014089NCI NIH HHS R01 CA201352
6 · The paper itself

Abstract

Introduction: Metastatic breast cancer (MBC) remains an incurable disease with a 5-year overall survival rate below 25%. Metastases often emerge from subclinical, disseminated tumor cells that persist despite systemic therapy of primary disease - referred to as minimal residual disease (MRD). Detecting MRD is critical for identifying patients at high risk of recurrence and enabling timely intervention. Methods: In this study, we developed MammaTrace, a plasma-only cell-free DNA (cfDNA) methylation-based MRD assay, informed by differentially methylated regions (DMRs) identified in MBC using whole genome bisulfite sequencing. MammaTrace was evaluated in an independent longitudinal cohort of early-stage breast cancer patients treated with curative intent. Results: MammaTrace achieved a sensitivity of 91% and specificity of 83%, with a median follow-up of 12.4 months. A positive MammaTrace score, indicative of MRD, preceded clinical or radiologic recurrence by a median of 457 days, providing a substantial lead time for therapeutic intervention to prevent progression to metastatic disease. Conclusions: MammaTrace enables detection of minimal residual disease in breast cancer patients, offering a substantial lead time before clinical recurrence. This approach may improve risk stratification and guide early therapeutic strategies to delay or prevent metastatic progression.

Identifiers

PMID40475151
PMCPMC12140512

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.