Literature DB >> 27101944

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

Nicholas J Taylor1, Nancy E Thomas2, Hoda Anton-Culver3, Bruce K Armstrong4, Colin B Begg5, Klaus J Busam6, Anne E Cust4, Terence Dwyer7, Lynn From8, Richard P Gallagher9, Stephen B Gruber10, Diane E Nishri11, Irene Orlow5, Stefano Rosso12, Alison J Venn13, Roberto Zanetti12, Marianne Berwick14, Peter A Kanetsky1.   

Abstract

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.
© 2016 UICC.

Entities:  

Keywords:  disease-specific survival; melanoma; nevi; phenotypic characteristics

Mesh:

Year:  2016        PMID: 27101944      PMCID: PMC4939099          DOI: 10.1002/ijc.30157

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  31 in total

1.  Tumor-infiltrating lymphocyte grade in primary melanomas is independently associated with melanoma-specific survival in the population-based genes, environment and melanoma study.

Authors:  Nancy E Thomas; Klaus J Busam; Lynn From; Anne Kricker; Bruce K Armstrong; Hoda Anton-Culver; Stephen B Gruber; Richard P Gallagher; Roberto Zanetti; Stefano Rosso; Terence Dwyer; Alison Venn; Peter A Kanetsky; Pamela A Groben; Honglin Hao; Irene Orlow; Anne S Reiner; Li Luo; Susan Paine; David W Ollila; Homer Wilcox; Colin B Begg; Marianne Berwick
Journal:  J Clin Oncol       Date:  2013-10-14       Impact factor: 44.544

Review 2.  The genetics of melanoma: the UK experience.

Authors:  J A Newton Bishop; M Harland; D T Bishop
Journal:  Clin Exp Dermatol       Date:  1998-07       Impact factor: 3.470

Review 3.  Lentigo maligna: melanoma in situ on chronically sun-damaged skin.

Authors:  Jon A Reed; Christopher R Shea
Journal:  Arch Pathol Lab Med       Date:  2011-07       Impact factor: 5.534

4.  Increase of melanocytic nevus counts in children during 5 years of follow-up and analysis of associated factors.

Authors:  H Luther; P Altmeyer; C Garbe; U Ellwanger; S Jahn; K Hoffmann; M Segerling
Journal:  Arch Dermatol       Date:  1996-12

5.  IRF4 variants have age-specific effects on nevus count and predispose to melanoma.

Authors:  David L Duffy; Mark M Iles; Dan Glass; Gu Zhu; Jennifer H Barrett; Veronica Höiom; Zhen Z Zhao; Richard A Sturm; Nicole Soranzo; Chris Hammond; Marina Kvaskoff; David C Whiteman; Massimo Mangino; Johan Hansson; Julia A Newton-Bishop; Veronique Bataille; Nicholas K Hayward; Nicholas G Martin; D Timothy Bishop; Timothy D Spector; Grant W Montgomery
Journal:  Am J Hum Genet       Date:  2010-06-17       Impact factor: 11.025

6.  p53 expression and risk factors for cutaneous melanoma: a case-control study.

Authors:  D C Whiteman; P G Parsons; A C Green
Journal:  Int J Cancer       Date:  1998-09-11       Impact factor: 7.396

7.  Site-specific determinants of cutaneous melanoma: a case-case comparison of patients with tumors arising on the head or trunk.

Authors:  Marina Kvaskoff; Nirmala Pandeya; Adèle C Green; Susan Perry; Catherine Baxter; Marcia B Davis; Rohan Mortimore; Lorraine Westacott; Dominic Wood; Joe Triscott; Richard Williamson; David C Whiteman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-01       Impact factor: 4.254

8.  Risk of cutaneous melanoma in relation to the numbers, types and sites of naevi: a case-control study.

Authors:  V Bataille; J A Bishop; P Sasieni; A J Swerdlow; E Pinney; K Griffiths; J Cuzick
Journal:  Br J Cancer       Date:  1996-06       Impact factor: 7.640

Review 9.  Risk prediction models for melanoma: a systematic review.

Authors:  Juliet A Usher-Smith; Jon Emery; Angelos P Kassianos; Fiona M Walter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-03       Impact factor: 4.254

10.  Genetic susceptibility to naevi--a twin study.

Authors:  D F Easton; G M Cox; A M Macdonald; B A Ponder
Journal:  Br J Cancer       Date:  1991-12       Impact factor: 7.640

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