Evidence map›Paper›PMID 40860669›Full record

ArticlePeerJ2025

Genome-wide discovery of circulating cell-free DNA methylation signatures for the differential diagnosis of triple-negative breast cancer.

Lijing Gao, Yanbing Li, Chao Qu, Yan Dong, Qingzhen Fu, Haibo Zhou, Ning Zhao, Xianyu Zhang, Da Pang, Yashuang Zhao

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Lijing GaoDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Yanbing LiDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Chao QuDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Yan DongDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Qingzhen FuDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Haibo ZhouDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Ning ZhaoDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.
Xianyu ZhangDepartment of Breast Surgery, Harbin Medical University, Harbin, Heilongjiang, China.
Da PangDepartment of Breast Surgery, Harbin Medical University, Harbin, Heilongjiang, China.
Yashuang ZhaoDepartment of Epidemiology, Harbin Medical University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative identification of breast cancer (BC) subtypes is essential for optimizing treatment strategies and improving patient outcomes. This study aimed to identify circulating cell-free DNA (cfDNA) methylation signatures to differentiate triple-negative breast cancer (TNBC) from other BC subtypes (non-TNBC). Methods: We initially performed a genome-wide analysis to identify differentially methylated CpG sites (DMCs; |Δ Results: We identified 113 DMCs, of which eight were selected as optimal markers. They effectively discriminated TNBC from non-TNBC tissues. Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914. Among them, cg06268921 was significantly associated with overall survival (hazard ratio = 0.249,

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsDNA MethylationTriple Negative Breast NeoplasmsAdultAgedCpG IslandsDiagnosis, DifferentialFemaleGenome-Wide Association StudyHumansMiddle AgedPrognosisROC CurveBiomarkers, TumorCell-Free Nucleic AcidsCell-free DNADifferential diagnosisDNA methylationMultiplex droplet digital PCRPrognosisTriple-negative breast cancer

Identifiers

PMID40860669
PMCPMC12374692

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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.