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Mostrando entradas con la etiqueta spuig. Mostrar todas las entradas

jueves, 20 de febrero de 2020

Distribution of MC1R variants among melanoma subtypes: p.R163Q is associated with lentigo maligna melanoma in a Mediterranean population

https://doi.org/10.1111/bjd.12418

Distribution of MC1R variants among melanoma subtypes: p.R163Q is associated with lentigo maligna melanoma in a Mediterranean population

LINK:  https://doi.org/10.1111/bjd.12418


Funding sources The research at the Melanoma Unit in Barcelona was partially funded by Grants 03/0019, 05/0302, 06/0265 and 09/01393 from Fondo de Investigaciones Sanitarias, Spain; by the CIBER de Enfermedades Raras of the Instituto de Salud Carlos III, Spain; by the AGAUR 2009 SGR 1337 of the Catalan Government, Spain; by the European Commission under the 6th Framework Programme, contract no. LSHCCT2006018702 (GenoMEL) and by the National Cancer Institute of the U.S. National Institutes of Health (CA83115). The work was carried out at the Esther Koplowitz Centre, Barcelona, Spain. The samples from the Instituto Valenciano de Oncología were collected from the Biobanco del Instituto Valenciano de Oncología.

Background

Cutaneous melanoma tumour is classified into clinicohistopathological subtypes that may be associated with different genetic and host factors. Variation in the MC1R gene is one of the main factors of risk variation in sporadic melanoma. The relationship between MC1R variants and the risk of developing a specific subtype of melanoma has not been previously explored.

Objectives


To analyse whether certain MC1R variants are associated with particular melanoma subtypes with specific clinicohistopathological features.

Methods


An association study was performed between MC1R gene variants and clinicopathological subtypes of primary melanoma derived from 1679 patients.

Results


We detected 53 MC1R variants (11 synonymous and 42 nonsynonymous). Recurrent nonsynonymous variants were p.V60L (30·0%), p.V92M (11·7%), p.D294H (9·4%), p.R151C (8·8%), p.R160W (6·2%), p.R163Q (4·2%) p.R142H (3·3%), p.I155T (3·8%), p.V122M (1·5%) and p.D84E (1·0%). Melanoma subtypes showed differences in the total number of MC1R variants (= 0·028) and the number of red hair colour variants (= 0·035). Furthermore, an association between p.R163Q and lentigo maligna melanoma was detected under a dominant model of heritance (odds ratio 2·16, 95% confidence interval 1·07–4·37; = 0·044). No association was found between p.R163Q and Fitzpatrick skin phototype, eye colour or skin colour, indicating that the association was independent of the role of MC1R in pigmentation. No association was observed between MC1R polymorphisms and other melanoma subtypes.

Conclusions


Our findings suggest that certain #MC1R variants could increase melanoma risk due to their impact on pathways other than pigmentation, and may therefore be linked to specific melanoma subtypes
 
#malvehy #susanapuig #cristinacarrera  #paulaaguilera #jmalvehy #melanoma #skincancer  #mc1r #genomel
J.A. PuigButillé C. Carrera R. Kumar Z. GarciaCasado P. Aguilera J. Malvehy E. Nagore S. Pui

 

viernes, 20 de julio de 2018

Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

Abstract

With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper skin layers thanks to the higher penetration of photons at these wavelengths. The outcomes of this device were combined with those of a previously developed multispectral system that works in the visible and near infrared range (414 nm–995 nm). Both provide spectral and spatial information from skin lesions. A classification method to discriminate between melanomas and nevi was developed based on the analysis of first-order statistics descriptors, principal component analysis, and support vector machine tools. The system provided a sensitivity of 78.6% and a specificity of 84.6%, the latter one being improved with respect to that offered by silicon sensors.
Keywords: InGaAs camera, multispectral imaging, infrared, skin cancer, melanoma
 
 

#spuig #jmalvehy #skincancer #ingaas #dermoscopy #skinmelanoma #carcinoma #stopmelanoma