Evidence map›Paper›PMID 27002761›Full record

ArticleCancer biomarkers : section A of Disease markers2016

Copy number variation in archival melanoma biopsies versus benign melanocytic lesions.

Ahmed Mahas, Keerti Potluri, Michael N Kent, Sameep Naik, Michael Markey

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Ahmed MahasDepartment of Biochemistry and Molecular Biology, Wright State University, Dayton, OH, USA.
Keerti PotluriDepartment of Biochemistry and Molecular Biology, Wright State University, Dayton, OH, USA.
Michael N KentDepartment of Dermatology, Wright State University Boonshoft School of Medicine, Dayton, OH, USA.
Sameep NaikDermatopathology Laboratory of Central States, Dayton, OH, USA.
Michael MarkeyDepartment of Biochemistry and Molecular Biology, Wright State University, Dayton, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkin melanocytes can give rise to benign and malignant neoplasms. Discrimination of an early melanoma from an unusual/atypical benign nevus can represent a significant challenge. However, previous studies have shown that in contrast to benign nevi, melanoma demonstrates pervasive chromosomal aberrations.

objectiveThis substantial difference between melanoma and benign nevi can be exploited to discriminate between melanoma and benign nevi.

methodsArray-comparative genomic hybridization (aCGH) is an approach that can be used on DNA extracted from formalin-fixed paraffin-embedded (FFPE) tissues to assess the entire genome for the presence of changes in DNA copy number. In this study, high resolution, genome-wide single-nucleotide polymorphism (SNP) arrays were utilized to perform comprehensive and detailed analyses of recurrent copy number aberrations in 41 melanoma samples in comparison with 21 benign nevi.

resultsWe found statistically significant copy number gains and losses within melanoma samples. Some of the identified aberrations are previously implicated in melanoma. Moreover, novel regions of copy number alterations were identified, revealing new candidate genes potentially involved in melanoma pathogenesis.

conclusionsTaken together, these findings can help improve melanoma diagnosis and introduce novel melanoma therapeutic targets.

Indexed as

DNA Copy Number VariationsAdolescentAdultAgedAged, 80 and overBiopsyChromosome AberrationsComparative Genomic HybridizationFemaleGene AmplificationHumansMaleMelanocytesMelanomaMiddle AgedNeoplasm StagingArray comparative genomic hybridizationFFPEmelanoma

Identifiers

PMID27002761
PMCPMC13016508

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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.