Evidence map›Paper›PMID 40598388›Full record

ArticleBreast cancer research : BCR2025

A comparative study of four cell-free DNA assays for detecting circulating tumor DNA in early breast cancer.

Charlotta V Mulder, Elisabeth M Jongbloed, Marte C Liefaard, Stavros Makrodimitris, Daan M Hazelaar, Corine M Beaufort, Vanja de Weerd, Lennart Mulder, Carolien H M van Deurzen, Gabe S Sonke and 5 more

Abstract readComparative Study
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Charlotta V Mulder *Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Elisabeth M Jongbloed *Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Marte C LiefaardDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Stavros MakrodimitrisDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Daan M HazelaarDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Corine M BeaufortDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Vanja de WeerdDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Lennart MulderDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Carolien H M van DeurzenDepartment of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Gabe S SonkeDepartment of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Agnes JagerDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Saskia M WiltingDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
John W M Martens *Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Maurice P H M Jansen *Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Esther H Lips *Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. e.lips@nki.nl.

Funding

KWF Kankerbestrijding 11105KWF Kankerbestrijding 12484
6 · The paper itself

Abstract

Early prediction of the response to neoadjuvant chemotherapy (NAC) enables tailoring treatment strategies to the specific needs of individual breast cancer patients. Circulating tumor DNA (ctDNA) has shown to be a prognostic factor for response on NAC during treatment. However, at this point in time mostly tumor-informed ctDNA detection methods are used which are costly, have relatively long turnaround times and are subsequently potentially less feasible for widespread clinical application. In this study, we investigated four tumor-agnostic methods to determine their ability to accurately detect circulating tumor DNA (ctDNA) at baseline. These methods were the Oncomine Breast cell free DNA (cfDNA) NGS panel, the LINE-1 sequencing assay mFAST-SeqS, shallow whole genome sequencing and the genome-wide methylation profiling assay MeD-Seq. In total 40 patients with triple negative or luminal B breast cancer were included and cell free DNA (cfDNA) from plasma before the start of NAC was analyzed with the four assays. We detected ctDNA in 3/24 (12.5%) patients with Oncomine, 5/40 (12.5%) with mFast-SeqS, 3/40 (7.7%) with low pass shallow WGS and 23/40 with MeD-Seq (57.5%). When all methods were combined ctDNA was detected in 65% of patients. In conclusion, we demonstrated that tumor agnostic methods, in particular MeD-Seq, can detect ctDNA in a fraction of the patients with early breast cancer, but further optimization is needed to reach the potential currently demonstrated by tumor-informed methods.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating Tumor DNAAdultAgedDNA MethylationFemaleHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMiddle AgedNeoadjuvant TherapyPrognosisWhole Genome SequencingBiomarkers, TumorCirculating Tumor DNACirculating tumor DNAEarly breast cancerNeoadjuvant treatment

Identifiers

PMID40598388
PMCPMC12217890

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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.