Evidence map›Paper›PMID 42707405›Full record

ReviewFrontiers in oncology2026

From detection to action: ctDNA-MRD surveillance and translational strategies in early breast cancer.

Jing Feng, Yujun Tong, Zhen Zhang, Ye Zhang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

4 authors.

Jing FengDepartment of Breast Center, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Yujun TongDepartment of Breast Center, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Zhen ZhangDepartment of Breast Center, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Ye ZhangDepartment of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrence remains a major cause of mortality in early breast cancer (EBC), and conventional follow-up often identifies relapse only after clinically detectable disease has emerged. Circulating tumor DNA-based minimal residual disease (ctDNA-MRD) testing offers the possibility of detecting molecular relapse earlier and refining recurrence-risk assessment during follow-up. This narrative review examines the evolving role of ctDNA-MRD in EBC, focusing on assay interpretation, longitudinal surveillance, MRD-guided trial design, and clinical implementation. Prospective studies consistently show that postoperative or surveillance ctDNA positivity is associated with an increased risk of recurrence. However, test performance and interpretation vary with assay characteristics and sampling strategies, and whether treatment initiated solely on the basis of MRD positivity can improve patient outcomes remains unresolved. The central challenge is no longer simply to detect residual disease earlier, but to determine when and how that information should influence care. Further prospective validation, assay standardization, clear pathways for uncertain findings, and patient-centered implementation will be needed before ctDNA-MRD can be integrated into routine management of EBC.

Indexed as

circulating tumor DNAearly breast cancerfragmentomicsmethylationminimal residual diseasetrial designwhole-genome sequencing

Identifiers

PMID42707405
PMCPMC13548034

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.