Evidence map›Paper›PMID 30529013›Full record

ArticleThe Journal of investigative dermatology2019

Identification of a Robust Methylation Classifier for Cutaneous Melanoma Diagnosis.

Kathleen Conway, Sharon N Edmiston, Joel S Parker, Pei Fen Kuan, Yi-Hsuan Tsai, Pamela A Groben, Daniel C Zedek, Glynis A Scott, Eloise A Parrish, Honglin Hao and 9 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in The Journal of investigative dermatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Observational
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  16. International journal of molecular sciences · 2021
    Article
  17. Epigenetic reprogramming of tumor cell-intrinsic STING function sculpts antigenicity and T cell recognition of melanoma.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Review
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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

19 authors at 4 institutions in 1 country.

Kathleen ConwayDepartment of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. Electronic address: kconway@med.unc.edu.
Sharon N EdmistonLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Joel S ParkerLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Pei Fen KuanDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Yi-Hsuan TsaiLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Pamela A GrobenDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Daniel C ZedekDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Glynis A ScottDepartment of Dermatology, University of Rochester School of Medicine, Rochester, New York, USA; Department of Pathology and Laboratory Medicine, University of Rochester School of Medicine, Rochester, New York, USA.
Eloise A ParrishLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Honglin HaoDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Michelle V PearlsteinDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Jill S FrankLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Craig C CarsonDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Matthew D WilkersonDepartment of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Xiaobei ZhaoLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Nathaniel A SlaterDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Stergios J MoschosLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
David W OllilaLineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Surgery, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Nancy E ThomasDepartment of Dermatology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center (LCCC), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USStony Brook University · USUniformed Services University of the Health Sciences · USUniversity of Rochester · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Sex Differences in Methylome Alterations and Mutational Burden in Early Stage MelanomaP01CA206980 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE, THOMAS, NANCY E. · 2017 to 2022
$10.1M
High-Throughput DNA-Methylation Profiling from Fixed Melanocytic TissuesR33CA160138 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DORSEY, KATHLEEN CONWAY, THOMAS, NANCY E. · 2011 to 2013
$979k
DNA-Methylation Profiling from Fixed Melanocytic TissuesR21CA134368 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DORSEY, KATHLEEN CONWAY, THOMAS, NANCY E. · 2009 to 2010
$356k
TERT Promoter Mutation as a Melanoma BiomarkerR03CA199487 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DORSEY, KATHLEEN CONWAY, THOMAS, NANCY E. · 2015 to 2016
$152k
NCI NIH HHS P01 CA206980NCI NIH HHS P30 CA016086NCI NIH HHS R03 CA199487NCI NIH HHS R21 CA134368NCI NIH HHS R33 CA160138NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Early diagnosis improves melanoma survival, yet the histopathological diagnosis of cutaneous primary melanoma can be challenging, even for expert dermatopathologists. Analysis of epigenetic alterations, such as DNA methylation, that occur in melanoma can aid in its early diagnosis. Using a genome-wide methylation screening, we assessed CpG methylation in a diverse set of 89 primary invasive melanomas, 73 nevi, and 41 melanocytic proliferations of uncertain malignant potential, classified based on interobserver review by dermatopathologists. Melanomas and nevi were split into training and validation sets. Predictive modeling in the training set using ElasticNet identified a 40-CpG classifier distinguishing 60 melanomas from 48 nevi. High diagnostic accuracy (area under the receiver operator characteristic curve = 0.996, sensitivity = 96.6%, and specificity = 100.0%) was independently confirmed in the validation set (29 melanomas, 25 nevi) and other published sample sets. The 40-CpG melanoma classifier included homeobox transcription factors and genes with roles in stem cell pluripotency or the nervous system. Application of the 40-CpG melanoma classifier to the diagnostically uncertain samples assigned melanoma or nevus status, potentially offering a diagnostic tool to assist dermatopathologists. In summary, the robust, accurate 40-CpG melanoma classifier offers a promising assay for improving primary melanoma diagnosis.

Indexed as

DNA MethylationAlgorithmsBiomarkers, TumorCpG IslandsDiagnosis, DifferentialEpigenesis, GeneticEpigenomicsFemaleGene Expression Regulation, NeoplasticHumansMaleMelanomaMiddle AgedNevusRetrospective StudiesROC CurveBiomarkers, Tumor

Identifiers

PMID30529013
PMCPMC6535139
OpenAlexW2904937257

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.