Evidence map›Paper›PMID 40683861›Full record

ArticleNPJ breast cancer2025

Personalized ctDNA monitoring in metastatic HR+/HER2- breast cancer patients during endocrine and CDK4/6 inhibitor therapy.

Jesús Fuentes-Antrás, Mitchell J Elliott, Sasha C Main, Philippe Echelard, Aaron Dou, Philippe L Bedard, Eitan Amir, Michelle B Nadler, Nicholas Meti, Nancy Gregorio and 12 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

22 authors.

Jesús Fuentes-Antrás *Division of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada. jesus.fuentesantras@uhn.ca.
Mitchell J Elliott *Division of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Sasha C Main *Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Philippe EchelardDepartment of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada.
Aaron DouDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Philippe L BedardDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Eitan AmirDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Michelle B NadlerDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Nicholas MetiGerald Bronfman Department of Oncology, St. Mary's Hospital Center, McGill University, Montreal, QC, Canada.
Nancy GregorioDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Elizabeth ShahDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Emily Van de LaarDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Celeste YuDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Yangqing DengDepartment of Statistics, University of Toronto, Toronto, ON, Canada.
Lisa GatesNeoGenomics, Inc, Fort Myers, FL, USA.
Clodagh MurrayNeoGenomics, Inc, Fort Myers, FL, USA.
Christopher G SmithNeoGenomics, Inc, Fort Myers, FL, USA.
Amber ChevalierNeoGenomics, Inc, Fort Myers, FL, USA.
Scott V BratmanDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Lillian L SiuDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Hal K BermanDepartment of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada.
David W CesconDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada. dave.cescon@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved methods to monitor treatment response may enhance patient management and clinical outcomes. This study assessed the feasibility and performance of a tumor-informed circulating tumor DNA (ctDNA) assay in metastatic HR+/HER2- breast cancer patients receiving endocrine and CDK4/6 inhibitor therapy. By conducting whole exome sequencing on archival tumors, highly sensitive personalized ctDNA panels were designed for blood monitoring. The assay showed high detection sensitivity (91% baseline, 70% all timepoints) and associations between higher baseline estimated variant allele fractions, liver metastases, and shorter time to treatment failure (TTF) and overall survival (OS). Complete molecular response, defined as ctDNA clearance, was observed in 28% of patients and correlated with improved TTF (HR 0.07) and OS (HR 0.07). The last cleared timepoint predated treatment failure by a median 14.3 months. ctDNA rises or limited decreases preceded radiographic progression. Molecular metrics may facilitate plasma-first monitoring and innovative strategies for clinical practice and trial design.

Identifiers

PMID40683861
PMCPMC12276344

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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 OpenQuestion graph.