Evidence map›Paper›PMID 27174586›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2016

Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions.

Eugen C Minca, Rami N Al-Rohil, Min Wang, Paul W Harms, Jennifer S Ko, Angela M Collie, Ivanka Kovalyshyn, Victor G Prieto, Michael T Tetzlaff, Steven D Billings and 1 more

Open access · bronzeAbstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Predicting theLife (Basel, Switzerland) · 2025
    Article
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  13. MicroRNA Ratios Distinguish Melanomas from Nevi.The Journal of investigative dermatology · 2020
    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

11 authors at 3 institutions in 1 country.

Eugen C MincaDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Rami N Al-RohilDepartment of Pathology, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA.
Min WangDepartment of Pathology, University of Michigan Medical Center, Ann Arbor, MI, USA.
Paul W HarmsDepartment of Pathology, University of Michigan Medical Center, Ann Arbor, MI, USA.
Jennifer S KoDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Angela M CollieDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Ivanka KovalyshynDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Victor G PrietoDepartment of Pathology, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA.
Michael T TetzlaffDepartment of Pathology, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA.
Steven D BillingsDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Aleodor A AndeaDepartment of Pathology, University of Michigan Medical Center, Ann Arbor, MI, USA.
Cleveland Clinic · USThe University of Texas MD Anderson Cancer Center · USUniversity of Michigan · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

Melanoma accounts for most skin cancer-related deaths and has an increasing incidence. Accurate diagnosis and distinction from atypical nevi can be at times difficult using light microscopy alone. Fluorescence in situ hybridization (FISH) and melanoma gene expression score (myPath, Myriad Genetics) have emerged as ancillary tools to further aid in this differential diagnosis. Our aim in this study was to correlate FISH results, gene expression score, consensus histopathologic impression and clinical outcome on a series of 117 challenging melanocytic lesions collected from three separate institutions. The lesions were separated into two groups: 39 histopathologically unequivocal lesions (15 malignant, 24 benign) and 78 challenging lesions interpreted by expert consensus (27 favor malignant, 30 favor benign, and 21 ambiguous). Melanoma-FISH was performed using probes for 6p25, 11q13, 8q24, and 9p21/CEP9 and scored according to established criteria. Analysis by myPath gene expression score was performed and interpreted by the manufacturer as 'benign', 'indeterminate,' or 'malignant'. In the unequivocal group, melanoma-FISH and myPath score showed 97 and 83% agreement with the histopathologic diagnosis, respectively, with 93 and 62% sensitivity, 100 and 95% specificity, and 80% inter-test agreement. In the challenging group, FISH and the myPath score showed 70 and 64% agreement with the histopathologic interpretation, respectively, with 70% inter-test agreement and similar sensitivities and specificities. The inter-test agreement was 73% overall, excluding indeterminate results. Discordant test results occurred in 27/117 cases from both unequivocal and challenging groups. Melanoma-FISH and gene expression score are valuable ancillary tools, though both have limitations and return discordant results in a subset of cases. Follow-up studies with more extensive clinical outcome data are warranted to establish the accuracy of these tests for the classification of melanocytic lesions.

Indexed as

In Situ Hybridization, FluorescenceBiomarkers, TumorGene Expression ProfilingHumansMelanomaPredictive Value of TestsPrognosisReproducibility of ResultsSkin NeoplasmsTertiary Care CentersUnited StatesBiomarkers, Tumor

Identifiers

PMID27174586
OpenAlexW2380095245

What OpenQuestion holds

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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.