Literature DB >> 32856602

Association of Known Melanoma Risk Factors with Primary Melanoma of the Scalp and Neck.

Renee P Wood1, Jane S Heyworth1, Nina S McCarthy2, Audrey Mauguen3, Marianne Berwick4, Nancy E Thomas5, Michael J Millward6, Hoda Anton-Culver7, Anne E Cust8, Terence Dwyer9,10, Richard P Gallagher11, Stephen B Gruber12, Peter A Kanetsky13, Irene Orlow3, Stefano Rosso14, Eric K Moses15, Colin B Begg3, Sarah V Ward16,3.   

Abstract

BACKGROUND: Scalp and neck (SN) melanoma confers a worse prognosis than melanoma of other sites but little is known about its determinants. We aimed to identify associations between SN melanoma and known risk genes, phenotypic traits, and sun exposure patterns.
METHODS: Participants were cases from the Western Australian Melanoma Health Study (n = 1,200) and the Genes, Environment, and Melanoma Study (n = 3,280). Associations between risk factors and SN melanoma, compared with truncal and arm/leg melanoma, were investigated using binomial logistic regression. Facial melanoma was also compared with the trunk and extremities, to evaluate whether associations were subregion specific, or reflective of the whole head/neck region.
RESULTS: Compared with other sites, increased odds of SN and facial melanoma were observed in older individuals [SN: OR = 1.28, 95% confidence interval (CI) = 0.92-1.80, P trend = 0.016; Face: OR = 4.57, 95% CI = 3.34-6.35, P trend < 0.001] and those carrying IRF4-rs12203592*T (SN: OR = 1.35, 95% CI = 1.12-1.63, P trend = 0.002; Face: OR = 1.29, 95% CI = 1.10-1.50, P trend = 0.001). Decreased odds were observed for females (SN: OR = 0.49, 95% CI = 0.37-0.64, P < 0.001; Face: OR = 0.66, 95% CI = 0.53-0.82, P < 0.001) and the presence of nevi (SN: OR = 0.66, 95% CI = 0.49-0.89, P = 0.006; Face: OR = 0.65, 95% CI = 0.52-0.83, P < 0.001).
CONCLUSIONS: Differences observed between SN melanoma and other sites were also observed for facial melanoma. Factors previously associated with the broader head and neck region, notably older age, may be driven by the facial subregion. A novel finding was the association of IRF4-rs12203592 with both SN and facial melanoma. IMPACT: Understanding the epidemiology of site-specific melanoma will enable tailored strategies for risk factor reduction and site-specific screening campaigns. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32856602      PMCID: PMC7641988          DOI: 10.1158/1055-9965.EPI-20-0595

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  37 in total

1.  Vitamin D receptor polymorphisms in patients with cutaneous melanoma.

Authors:  Irene Orlow; Pampa Roy; Anne S Reiner; Sarah Yoo; Himali Patel; Susan Paine; Bruce K Armstrong; Anne Kricker; Loraine D Marrett; Robert C Millikan; Nancy E Thomas; Stephen B Gruber; Hoda Anton-Culver; Stefano Rosso; Richard P Gallagher; Terence Dwyer; Peter A Kanetsky; Klaus Busam; Lynn From; Colin B Begg; Marianne Berwick
Journal:  Int J Cancer       Date:  2011-04-25       Impact factor: 7.396

2.  Tumor location predicts survival in cutaneous head and neck melanoma.

Authors:  Warren H Tseng; Steve R Martinez
Journal:  J Surg Res       Date:  2010-11-10       Impact factor: 2.192

3.  Association of Interferon Regulatory Factor-4 Polymorphism rs12203592 With Divergent Melanoma Pathways.

Authors:  David C Gibbs; Irene Orlow; Jennifer I Bramson; Peter A Kanetsky; Li Luo; Anne Kricker; Bruce K Armstrong; Hoda Anton-Culver; Stephen B Gruber; Loraine D Marrett; Richard P Gallagher; Roberto Zanetti; Stefano Rosso; Terence Dwyer; Ajay Sharma; Emily La Pilla; Lynn From; Klaus J Busam; Anne E Cust; David W Ollila; Colin B Begg; Marianne Berwick; Nancy E Thomas
Journal:  J Natl Cancer Inst       Date:  2016-02-08       Impact factor: 13.506

4.  Multiple pigmentation gene polymorphisms account for a substantial proportion of risk of cutaneous malignant melanoma.

Authors:  David L Duffy; Zhen Z Zhao; Richard A Sturm; Nicholas K Hayward; Nicholas G Martin; Grant W Montgomery
Journal:  J Invest Dermatol       Date:  2009-08-27       Impact factor: 8.551

5.  A theory of site distribution of melanomas: Queensland, Australia.

Authors:  A Green
Journal:  Cancer Causes Control       Date:  1992-11       Impact factor: 2.506

Review 6.  Emerging trends in the epidemiology of melanoma.

Authors:  V Nikolaou; A J Stratigos
Journal:  Br J Dermatol       Date:  2014-01       Impact factor: 9.302

7.  A polymorphism in IRF4 affects human pigmentation through a tyrosinase-dependent MITF/TFAP2A pathway.

Authors:  Christian Praetorius; Christine Grill; Simon N Stacey; Alexander M Metcalf; David U Gorkin; Kathleen C Robinson; Eric Van Otterloo; Reuben S Q Kim; Kristin Bergsteinsdottir; Margret H Ogmundsdottir; Erna Magnusdottir; Pravin J Mishra; Sean R Davis; Theresa Guo; M Raza Zaidi; Agnar S Helgason; Martin I Sigurdsson; Paul S Meltzer; Glenn Merlino; Valerie Petit; Lionel Larue; Stacie K Loftus; David R Adams; Ulduz Sobhiafshar; N C Tolga Emre; William J Pavan; Robert Cornell; Aaron G Smith; Andrew S McCallion; David E Fisher; Kari Stefansson; Richard A Sturm; Eirikur Steingrimsson
Journal:  Cell       Date:  2013-11-21       Impact factor: 41.582

8.  Epidemiological features and prognostic factors of cutaneous head and neck melanoma: a population-based study.

Authors:  Alexander Golger; Diana S Young; Danny Ghazarian; Peter C Neligan
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2007-05

9.  Patterns of failure and predictors of outcome in cutaneous malignant melanoma of the scalp.

Authors:  Breanne E Terakedis; Christopher J Anker; Sancy A Leachman; Robert H I Andtbacka; Glen M Bowen; William T Sause; Kenneth F Grossmann; Tawnya L Bowles; R Dirk Noyes; Ying J Hitchcock; Kenneth M Boucher; Dennis C Shrieve
Journal:  J Am Acad Dermatol       Date:  2013-12-24       Impact factor: 11.527

10.  A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation.

Authors:  Jiali Han; Peter Kraft; Hongmei Nan; Qun Guo; Constance Chen; Abrar Qureshi; Susan E Hankinson; Frank B Hu; David L Duffy; Zhen Zhen Zhao; Nicholas G Martin; Grant W Montgomery; Nicholas K Hayward; Gilles Thomas; Robert N Hoover; Stephen Chanock; David J Hunter
Journal:  PLoS Genet       Date:  2008-05-16       Impact factor: 5.917

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