Evidence map›Paper›PMID 26503349›Full record

ArticleDiagnostic pathology2015

A p16-Ki-67-HMB45 immunohistochemistry scoring system as an ancillary diagnostic tool in the diagnosis of melanoma.

Arnaud Uguen, Matthieu Talagas, Sebastian Costa, Sandrine Duigou, Stéphanie Bouvier, Marc De Braekeleer, Pascale Marcorelles

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 95 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Arnaud UguenInserm, U1078, Brest, F-29200, France. arnaud.uguen@chu-brest.fr.
Matthieu TalagasCHRU Brest, Service d'anatomie et cytologie pathologiques, Brest, F-29220, France. matthieu.talagas@chu-brest.fr.
Sebastian CostaCHRU Brest, Service d'anatomie et cytologie pathologiques, Brest, F-29220, France. sebastian.costa@chu-brest.fr.
Sandrine DuigouCHRU Brest, Service d'anatomie et cytologie pathologiques, Brest, F-29220, France. sandrine.duigou@chu-brest.fr.
Stéphanie BouvierCHRU Brest, Service d'anatomie et cytologie pathologiques, Brest, F-29220, France. stephanie.bouvier4@gmail.com.
Marc De BraekeleerInserm, U1078, Brest, F-29200, France. marc.debraekeleer@chu-brest.fr.
Pascale MarcorellesCHRU Brest, Service d'anatomie et cytologie pathologiques, Brest, F-29220, France. pascale.marcorelles@chu-brest.fr.
Université Européenne de Bretagne · FRCentre Hospitalier Régional Universitaire de Brest · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelanoma is a skin cancer which treatment requires early diagnosis and large surgical removal. The histopathological diagnosis of a melanocytic tumour is sometimes difficult between a benign nevus and a malignant melanoma. We built an immunomarker-based score to differentiate nevi from melanomas.

methodsTwo independent sets of 308 (first set) and 62 (validation set) formalin-fixed and paraffin embedded tumour samples were studied using p16-Ki-67 and HMB45-MelanA dual-staining immunohistochemistry.

resultsIn the first set of tumours, high Ki-67 index, low to null p16 immunohistochemistry and absence of HMB45 immunohistochemistry gradient were more frequent in melanomas (156 primary tumours and 78 metastases) than in nevi (74 tumours). Nevertheless, none of these single parameters was able to differentiate all primary melanomas from all nevi. We built a scoring system based on the addition of semi-quantitative scorings of Ki-67 (0: <2%; 1:2-5%; 2:6-10%, 3:11-20%; 4:>20%) and p16 (0:>50% stained cells; 1:11-50%; 2:1-10%; 3:0%) and HMB45 staining (0: gradient present; 1: doubtful/inconclusive gradient; 2: gradient absent). A p16-Ki-67-HMB45 total score from 0 to 9 permitted to classify nevi (score <4) and primary melanomas (score ≥4) with a sensitivity of 97.4% and a specificity of 97.3% in the first set of tumours. Sensibility and specificity of 100 % were obtained in a second set (validation set) of 62 tumours (46 melanomas and 16 nevi). The total scoring also allowed analyzing 11 difficult or initially misdiagnosed tumours in our files.

conclusionsWe propose a valuable triple p16-Ki-67-HMB45 immunohistochemistry scoring system to help pathologists in the differential diagnosis of melanomas and nevi.

Indexed as

Biomarkers, TumorCutaneous Malignant MelanomaDiagnosis, DifferentialGenes, p16gp100 Melanoma AntigenHumansImmunohistochemistryKi-67 AntigenMelanomaMelanoma-Specific AntigensNevus, Epithelioid and Spindle CellSkin NeoplasmsBiomarkers, Tumorgp100 Melanoma AntigenKi-67 AntigenMelanoma-Specific AntigensPMEL protein, human

Identifiers

PMID26503349
PMCPMC4623282
OpenAlexW1824377994

What OpenQuestion holds

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LicenceCC BY
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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.