Evidence map›Paper›PMID 39984446›Full record

ArticleNature communications2025

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

Mitchell J Elliott, Philippe Echelard, Christodoulos Pipinikas, Sasha Main, Jesús Fuentes Antrás, Aaron Dou, Zachary Veitch, Eitan Amir, Michelle B Nadler, Nicholas Meti and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Clinical Validation of Digital PCR-Based ctDNA Detection for Risk Stratification in Residual Triple-Negative Breast Cancer: TRICIA Trial Results.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  18. Review
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  20. Article
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

19 authors.

Mitchell J ElliottDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada. mitchell.elliott@uhn.ca.ORCID http://orcid.org/0000-0001-6711-7287
Philippe EchelardDepartment of Pathology, Université de Sherbrooke, Sherbrooke, QC, Canada.
Christodoulos PipinikasNeoGenomics, Babraham Research Campus, Cambridge, UK.
Sasha MainDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Jesús Fuentes AntrásNEXT Oncology Early Drug Development Unit, Hospital Universitario Quirónsalud, Madrid, Spain.
Aaron DouDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.
Zachary VeitchRoyal Victoria Regional Health Centre, Barrie, 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, Montréal, QC, Canada.
Eshetu AtenafuBiostatistics Department, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-4613-3680
Elizabeth ShahDivision 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.
Nathan CampbellNeoGenomics, Babraham Research Campus, Cambridge, UK.
Robert VenturaNeoGenomics, Babraham Research Campus, Cambridge, UK.
Lillian L SiuDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3500-0540
Philippe L BedardDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-6771-2999
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.ORCID http://orcid.org/0000-0002-1080-0998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating Tumor DNAAdultAgedFemaleHumansLongitudinal StudiesMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39984446
PMCPMC11845481

What OpenQuestion 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 OpenQuestion graph.