Evidence map›Paper›PMID 31300453›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

DNA Methylation Markers for Breast Cancer Detection in the Developing World.

Bradley M Downs, Claudia Mercado-Rodriguez, Ashley Cimino-Mathews, Chuang Chen, Jing-Ping Yuan, Eunice Van Den Berg, Leslie M Cope, Fernando Schmitt, Gary M Tse, Syed Z Ali and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Development of the cf-MMSP Assay for Enhanced Analytical Sensitivity of Methylated DNA in Breast Cancer Liquid Biopsy.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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  4. Review
  5. Review
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  7. Epigenetics · 2024
    Article
  8. Article
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  10. Potential Role ofClinical Medicine Insights. Oncology · 2024
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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

29 authors at 7 institutions in 5 countries.

Bradley M DownsDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Claudia Mercado-RodriguezDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Ashley Cimino-MathewsDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Chuang ChenDepartment of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Jing-Ping YuanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Eunice Van Den BergDepartment of Anatomical Pathology, University of Witwaterstrand and National Health Laboratory Service, Johannesburg, South Africa.
Leslie M CopeDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Fernando SchmittMedical Faculty of Porto University, Institute of Molecular Pathology and Immunology of Porto University, Porto, Portugal.ORCID 0000-0002-3711-8681
Gary M TseDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
Syed Z AliDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Danielle Meir-LeviDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Rupali SoodDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Juanjuan LiDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Andrea L RichardsonDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Marina B MosunjacDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia.
Monica RizzoDepartment of Surgery, Emory University School of Medicine, Atlanta, Georgia.
Suzana TulacCepheid, Sunnyvale, California.
Kriszten J KocmondCepheid, Sunnyvale, California.
Timothy de GuzmanCepheid, Sunnyvale, California.
Edwin W LaiCepheid, Sunnyvale, California.
Brian RheesCepheid, Sunnyvale, California.
Michael BatesCepheid, Sunnyvale, California.
Antonio C WolffDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-3734-1063
Edward GabrielsonDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Susan C HarveyDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Christopher B UmbrichtDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-1993-0553
Kala VisvanathanDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Mary Jo FacklerDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland. saras@jhmi.edu facklma@jhmi.edu.
Saraswati SukumarDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland. saras@jhmi.edu facklma@jhmi.edu.
Johns Hopkins University · US3D Technology Laboratories (United States) · USEmory University · USWuhan University · CNChinese University of Hong Kong · HKNational Health Laboratory Service · ZAUniversidade do Porto · PT

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

purposeAn unmet need in low-resource countries is an automated breast cancer detection assay to prioritize women who should undergo core breast biopsy and pathologic review. Therefore, we sought to identify and validate a panel of methylated DNA markers to discriminate between cancer and benign breast lesions using cells obtained by fine-needle aspiration (FNA).

resultsIn the discovery cohort, 10 of 25 markers were selected that were highly methylated in breast cancer compared with benign tissues by QM-MSP. In the independent test cohort, this panel yielded an AUC of 0.937 (95% CI = 0.900-0.970). In the FNA pilot, we achieved an AUC of 0.960 (95% CI = 0.883-1.0) using the automated cartridge system.

conclusionsWe developed and piloted a fast and accurate methylation marker-based automated cartridge system to detect breast cancer in FNA samples. This quick ancillary test has the potential to prioritize cancer over benign tissues for expedited pathologic evaluation in poorly resourced countries.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBiopsy, Fine-NeedleBreastBreast NeoplasmsDNA MethylationEarly Detection of CancerFemaleHumansMiddle AgedNeoplasmsPilot ProjectsPromoter Regions, GeneticBiomarkers, Tumor

Identifiers

PMID31300453
PMCPMC6825533
OpenAlexW2957569393

What OpenQuestion holds

Textmetadata
LicenceTDM
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.