Evidence map›Paper›PMID 39785866›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Ultrasensitive Detection and Monitoring of Circulating Tumor DNA Using Structural Variants in Early-Stage Breast Cancer.

Mitchell J Elliott, Karen Howarth, Sasha Main, Jesús Fuentes Antrás, Philippe Echelard, Aaron Dou, Eitan Amir, Michelle B Nadler, Elizabeth Shah, Celeste Yu and 17 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

27 authors.

Mitchell J ElliottDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0001-6711-7287
Karen HowarthSAGA Dx, Morrisville, North Carolina.ORCID 0000-0002-1124-4583
Sasha MainDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.ORCID 0000-0003-2167-8323
Jesús Fuentes AntrásNEXT Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain.ORCID 0000-0001-5805-2362
Philippe EchelardDepartment of Pathology, Université de Sherbrooke, Sherbrooke, Canada.ORCID 0000-0002-8586-6473
Aaron DouDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0009-0007-8293-2635
Eitan AmirDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-3706-525X
Michelle B NadlerDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-4372-3204
Elizabeth ShahCancer Genomics Program, Princess Margaret Cancer Centre, Toronto, Canada.ORCID 0009-0008-9360-4474
Celeste YuCancer Genomics Program, Princess Margaret Cancer Centre, Toronto, Canada.ORCID 0000-0002-8764-1091
Scott BratmanDivision of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0001-8610-4908
Taylor BirdDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0009-0009-3364-9870
June RohDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0009-0000-5832-1702
Elza C de BruinOncology R&D, AstraZeneca, Cambridge, United Kingdom.ORCID 0000-0002-8996-8354
Christopher RushtonSAGA Dx, Morrisville, North Carolina.ORCID 0009-0005-7372-3191
Yilun ChenSAGA Dx, Morrisville, North Carolina.
Sergii GladchukSAGA Dx, Morrisville, North Carolina.
Anthony M GeorgeSAGA Dx, Morrisville, North Carolina.
Sofia BirkeälvSAGA Dx, Morrisville, North Carolina.ORCID 0000-0001-8192-8334
Miguel AlcaideSAGA Dx, Morrisville, North Carolina.ORCID 0009-0002-9439-3388
Lucia OtonSAGA Dx, Morrisville, North Carolina.ORCID 0000-0002-8515-6754
Girish PutchaSAGA Dx, Morrisville, North Carolina.ORCID 0000-0002-6559-620X
Samuel WoodhouseSAGA Dx, Morrisville, North Carolina.ORCID 0009-0006-9539-1471
Philippe L BedardDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-6771-2999
Lillian L SiuDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-3500-0540
Hal K BermanDepartment of Pathology and Laboratory Medicine, University Health Network, Toronto, Canada.ORCID 0000-0001-7524-7911
David W CesconDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID 0000-0002-1080-0998

Funding

Canadian Association of Medical Oncologists (CAMO)Canadian Cancer Society Research Institute (CCSRI)Princess Margaret Cancer Foundation (PMCF)Princess Margaret Cancer Foundation (PMCF) BMO Chair in Precision Genomics
6 · The paper itself

Abstract

purposeThe detection of circulating tumor DNA (ctDNA) after curative-intent therapy in early-stage breast cancer is highly prognostic of disease recurrence. Current ctDNA assays, mainly targeting single-nucleotide variants, vary in sensitivity and specificity. Although increasing the number of single-nucleotide variants in tumor-informed assays improves sensitivity, structural variants (SV) may achieve similar or better sensitivity without compromising specificity. SVs occur across all cancers, linked to genomic instability and tumorigenesis, with unique tumor- and patient-specific breakpoints occurring throughout the genome. SVs in breast cancer are underexplored, and their potential for ctDNA detection and monitoring has not been fully evaluated. EXPERIMENTAL

designWe retrospectively analyzed a tumor-informed SV-based ctDNA assay in a cohort of patients with early-stage breast cancer (n = 100, 568 timepoints) receiving neoadjuvant systemic therapy, evaluating ctDNA dynamics and lead times to clinical recurrence in the postoperative period.

resultsctDNA was detected in 96% (91/95) of participants at baseline with a median variant allele frequency of 0.15% (range: 0.0011%-38.7%); of these, 10% (9/91) had a variant allele frequency <0.01%. ctDNA detection at cycle 2 (C2) of neoadjuvant therapy was associated with a higher likelihood of distant recurrence (log-rank P = 0.047) and enhanced residual cancer burden prognostication (log-rank P = 0.041). ctDNA was detected prior to distant recurrence in all cases (100% sensitivity) with a median lead time of 417 days (range: 4-1,931 days).

conclusionsThese results demonstrate the clinical validity of ultrasensitive ctDNA detection and monitoring using SVs. Prospective trials are required to evaluate ctDNA-guided treatment strategies.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating Tumor DNAGenomic Structural VariationNeoplasm Recurrence, LocalAdultAgedFemaleHumansMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39785866
PMCPMC11994999

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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.