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Nevus count associations with pigmentary phenotype, histopathological melanoma characteristics and survival from melanoma


Taylor, NJ and Thomas, NE and Anton-Culver, H and Armstrong, BK and Begg, CB and Busam, KJ and Cust, AE and Dwyer, T and From, L and Gallagher, RP and Gruber, SB and Nishri, DE and Orlow, I and Rosso, S and Venn, AJ and Zanetti, R and Berwick, M and Kanetsky, PA, on behalf of the GEM Study Group, Nevus count associations with pigmentary phenotype, histopathological melanoma characteristics and survival from melanoma, International Journal of Cancer, 139, (6) pp. 1217-1222. ISSN 0020-7136 (2016) [Refereed Article]

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Copyright 2016 The Authors

DOI: doi:10.1002/ijc.30157


Although nevus count is an established risk factor for melanoma, relationships between nevus number and patient and tumor characteristics have not been well studied and the influence of nevus count on melanoma-specific survival is equivocal. Using data from the Genes, Environment and Melanoma (GEM) study, a large population-based study of primary cutaneous melanoma, we evaluated associations between number of nevi and patient features, including sun-sensitivity summarized in a phenotypic index, and tumor characteristics. We also assessed the association of nevus count with melanoma-specific survival. Higher nevus counts were independently and positively associated with male gender and younger age at diagnosis, and they were inversely associated with lentigo maligna histology. We observed a borderline significant trend of poorer melanoma-specific survival with increasing quartile of nevus count, but little or no association between number of nevi and pigmentary phenotypic characteristics or prognostic tumor features.

Item Details

Item Type:Refereed Article
Keywords:disease-specific survival, melanoma, nevi, phenotypic characteristics
Research Division:Health Sciences
Research Group:Epidemiology
Research Field:Epidemiology not elsewhere classified
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Venn, AJ (Professor Alison Venn)
ID Code:114510
Year Published:2016
Web of Science® Times Cited:6
Deposited By:Menzies Institute for Medical Research
Deposited On:2017-02-16
Last Modified:2017-11-07

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