Evidence map›Paper›PMID 39605043›Full record

ArticleJournal of translational medicine2024

DNA methylation analysis of peripheral blood mononuclear cells in diagnosing breast cancer from benign breast lesions.

Ying Zhang, Lei Cheng

Abstract read
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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ying ZhangDepartment of Clinical Laboratory, The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan, 250033, Shandong, China. 202262019221@email.sdu.edu.cn.
Lei ChengKey Laboratory of Ultra-Weak Magnetic Field Measurement Technology, School of Instrumentation and Optoelectronic Engineering, Ministry of Education, Beihang University, Beijing, 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increasing incidence of breast lesions, the differential diagnosis between benign lesions and breast cancer (BCa) has become a big challenge. Host peripheral blood mononuclear cells (PBMCs) could undergo changes in DNA methylation upon disease progression. However, the clinical value of DNA methylation of PBMCs in differentiating benign lesions and BCa is still unclear.

methodsDNA of PBMCs was isolated and the methylation status of PBMCs in patients with BCa and benign breast nodules was detected by using Illumina Infinium methylation EPIC array. The specific methylation targets were validated by pyrosequencing, Targeted Bisulfite Sequencing Assay, and Multiplex Methylation PCR Assay(MMPA).

resultscg26977936, cg23351954, and cg27209741 were validated as differentially methylated and showed the potential diagnostic values (sensitivity and specificity were 90.0%/53.3%, 43.3%/90.0%, 90.0%/43.3%, respectively). Moreover, a diagnostic model was established using these 3 CGs through logistic regression analysis, and the AUC reached 0.837. Next, this diagnostic model was validated in another, independent cohort with Targeted Bisulfite Sequencing Assay, and the clinical value in distinguishing benign and malignant breast disease was also confirmed (AUC = 0.827, P < 0.05). Finally, to better meet the need for the clinical test, we further validated the differential diagnostic efficacy of the 2 hypermethylated DMPs by establishing a Multiplex Methylation PCR Assay by coupling the 5'-flap endonuclease activity of Taq DNA polymerase and molecular beacon reporters.

conclusionsDNA methylation changes in PBMCs showed great potential in discriminating BCa patients from breast benign lesion patients and may serve as a novel predictor in clinical applications.

Indexed as

Breast NeoplasmsDNA MethylationLeukocytes, MononuclearAdultBreastDiagnosis, DifferentialFemaleHumansMiddle AgedReproducibility of ResultsROC CurveBenign breast lesionsBreast cancerDifferential diagnosisDNA methylationPeripheral blood mononuclear cells (PBMCs)

Identifiers

PMID39605043
PMCPMC11600940

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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.