Evidence map›Paper›PMID 42528545›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Minimal Residual Disease via circulating tumor DNA Predicts Exceptional Response in HER2-Positive Metastatic Breast Cancer.

Stefania Morganti, Catherine Song, Ningxuan Zhou, Katherine Santos, Pia Jain, Laurel Walsh, Rachel Li, Justin Rhoades, Katie Gilligan, Gregory Kirkner and 15 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Stefania MorgantiBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-5284-9944
Catherine SongGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Ningxuan ZhouDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Katherine SantosBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Pia JainGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Laurel WalshGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Rachel LiGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Justin RhoadesGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Katie GilliganGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Gregory KirknerBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Catherine SteverBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Ashka PatelBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Melissa E HughesBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Nolan PriedigkeitBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
G Mike MakrigiorgiosDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Ian E KropYale Cancer Center, New Haven, CT, USA.
Giuseppe CuriglianoEuropean Institute of Oncology, IRCCS, Milano, Italy.
Eric P WinerYale Cancer Center, New Haven, CT, USA.
Sara M TolaneyBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Nabihah TayobBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Hillary HeilingDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Kan XiongGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nancy U LinBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Viktor A AdalsteinssonGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Heather A ParsonsBreast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.

Funding

Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI LEIF W ELLISEN · 2013 to 2026
$30.1M
Comprehensive minimal residual disease tracking in cancerR01CA221874 · NCI · DANA-FARBER CANCER INST · PI Viktor Adalsteinsson, G. Mike Makrigiorgos · 2018 to 2026
$2.5M
Can a subset of patients with HER2+ metastatic breast cancer be cured?K08CA252639 · NCI · FRED HUTCHINSON CANCER CENTER · PI PARSONS, HEATHER ANNE · 2021 to 2025
$1.3M
NCI NIH HHS K08 CA252639NCI NIH HHS P50 CA168504NCI NIH HHS R01 CA221874
6 · The paper itself

Abstract

Purpose: Exceptional responses are frequent in patients with HER2-positive (HER2+) metastatic breast cancer (MBC), but predictive biomarkers are lacking. We aimed to investigate the association between detection of minimal residual disease (MRD) via circulating tumor DNA (ctDNA) and exceptional response to first-line HER2 targeted therapy for MBC. Patients and Methods: We identified exceptional (real-world progression-free survival [rwPFS] ≥3 years) and conventional (rwPFS <3 years) responders treated with first-line HER2 targeted therapy for HER2+ MBC and plasma collected at landmark timepoints (e.g., baseline, year [Y] 1, Y2, Y3, at progression). We generated personalized, tissue-informed MRD assays using MAESTRO mutation enrichment sequencing in a pooled format. The primary endpoint was the association between MRD status at Y1 and rwPFS. Results: Of 70 patients, 63 (90%) (40 exceptional and 23 conventional responders) had sufficient samples and successful assay design; MAESTRO was run on 149 samples. A median of 1,823 (range 387-5,000) tumor-specific mutations were tracked per patient. MRD was detected in 49 (32%) samples (median tumor fraction [TFx] 936 ppm; range 3.8-164,068 ppm); 15 (31%) samples had TFx <100 ppm. MRD was associated with outcomes: 0/27 [0%] exceptional versus 9/12 [75%] conventional responders (p<0.001) had detectable MRD at Y1. Exceptional responders who remained progression-free were always MRD-negative (n=30) or cleared MRD by Y1 (n=3). Six exceptional responders experienced late progression, and four of them had a Y3 sample: MRD was detected in three patients (lead time range 2.77-13.47 years), one patient had breast-only progression and was MRD-negative. Conclusions: MRD status at key timepoints is associated with exceptional response and late distant progression, supporting prospective clinical trials implementing MRD testing with highly sensitive tumor-informed assays to guide treatment de-escalation.

Identifiers

PMID42528545
PMCPMC13409183

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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 OpenQuestion graph.