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

Overview of attention for article published in Diagnostic Pathology, October 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
A p16-Ki-67-HMB45 immunohistochemistry scoring system as an ancillary diagnostic tool in the diagnosis of melanoma
Published in
Diagnostic Pathology, October 2015
DOI 10.1186/s13000-015-0431-9
Pubmed ID
Authors

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

Abstract

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Bachelor 12 13%
Other 11 12%
Researcher 10 11%
Student > Postgraduate 8 8%
Other 21 22%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 49 52%
Biochemistry, Genetics and Molecular Biology 12 13%
Agricultural and Biological Sciences 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Unspecified 1 1%
Other 4 4%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2015.
All research outputs
#7,348,158
of 23,163,378 outputs
Outputs from Diagnostic Pathology
#217
of 1,142 outputs
Outputs of similar age
#92,783
of 285,207 outputs
Outputs of similar age from Diagnostic Pathology
#8
of 33 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.