Literature DB >> 19035450

Nevus density and melanoma risk in women: a pooled analysis to test the divergent pathway hypothesis.

Catherine M Olsen1, Michael S Zens, Therese A Stukel, Carlotta Sacerdote, Yu-Mei Chang, Bruce K Armstrong, Veronique Bataille, Marianne Berwick, J Mark Elwood, Elizabeth A Holly, Connie Kirkpatrick, Thomas Mack, Julia Newton Bishop, Anne Østerlind, Anthony J Swerdlow, Roberto Zanetti, Adèle C Green, Margaret R Karagas, David C Whiteman.   

Abstract

A "divergent pathway" model for the development of cutaneous melanoma has been proposed. The model hypothesizes that melanomas occurring in people with a low tendency to develop nevi will, on average, arise more commonly on habitually sun-exposed body sites such as the head and neck. In contrast, people with an inherent propensity to develop nevi will tend to develop melanomas most often on body sites with large melanocyte populations, such as on the back. We conducted a collaborative analysis to test this hypothesis using the original data from 10 case-control studies of melanoma in women (2,406 cases and 3,119 controls), with assessment of the potential confounding effects of socioeconomic, pigmentary and sun exposure-related factors. Higher nevus count on the arm was associated specifically with an increased risk of melanoma of the trunk (p for trend = 0.0004) and limbs (both upper and lower limb p for trends = 0.01), but not of the head and neck (p for trend = 0.25). The pooled odds ratios for the highest quartile of nonzero nevus count versus none were 4.6 (95% confidence interval (CI) 2.7-7.6) for melanoma of the trunk, 2.0 (95% CI 0.9-4.5) for the head and neck, 4.2 (95% CI 2.3-7.5) for the upper limbs and 3.4 (95% CI 1.5-7.9) for the lower limbs. Aggregate data from these studies suggest that high nevus counts are strongly associated with melanoma of the trunk but less so if at all of the head and neck. This finding supports different etiologic pathways of melanoma development by anatomic site.

Entities:  

Mesh:

Year:  2009        PMID: 19035450      PMCID: PMC2729286          DOI: 10.1002/ijc.24011

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


  52 in total

1.  Benign melanocytic naevi as a risk factor for malignant melanoma.

Authors:  A J Swerdlow; J English; R M MacKie; C J O'Doherty; J A Hunter; J Clark; D J Hole
Journal:  Br Med J (Clin Res Ed)       Date:  1986-06-14

2.  Comparison of the site distribution of melanoma in New Zealand and Canada.

Authors:  J L Bulliard; B Cox; J M Elwood
Journal:  Int J Cancer       Date:  1997-07-17       Impact factor: 7.396

3.  Cutaneous melanoma histologically associated with a nevus and melanoma de novo have a different profile of risk: results from a case-control study.

Authors:  P Carli; D Massi; M Santucci; A Biggeri; B Giannotti
Journal:  J Am Acad Dermatol       Date:  1999-04       Impact factor: 11.527

4.  The naevus count on the arms as a predictor of the number of melanocytic naevi on the whole body.

Authors:  C Fariñas-Alvarez; J M Ródenas; M T Herranz; M Delgado-Rodríguez
Journal:  Br J Dermatol       Date:  1999-03       Impact factor: 9.302

5.  A major quantitative-trait locus for mole density is linked to the familial melanoma gene CDKN2A: a maximum-likelihood combined linkage and association analysis in twins and their sibs.

Authors:  G Zhu; D L Duffy; A Eldridge; M Grace; C Mayne; L O'Gorman; J F Aitken; M C Neale; N K Hayward; A C Green; N G Martin
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

6.  Site-specific risk of cutaneous malignant melanoma and pattern of sun exposure in New Zealand.

Authors:  J L Bulliard
Journal:  Int J Cancer       Date:  2000-03-01       Impact factor: 7.396

7.  Cutaneous malignant melanoma in New Zealand: trends by anatomical site, 1969-1993.

Authors:  J L Bulliard; B Cox
Journal:  Int J Epidemiol       Date:  2000-06       Impact factor: 7.196

8.  Solar keratoses: a risk factor for melanoma but negative association with melanocytic naevi.

Authors:  V Bataille; P Sasieni; A Grulich; A Swerdlow; W McCarthy; P Hersey; J A Newton Bishop; J Cuzick
Journal:  Int J Cancer       Date:  1998-09-25       Impact factor: 7.396

9.  Hormonal and reproductive influences and risk of melanoma in women.

Authors:  M A Smith; J A Fine; R L Barnhill; M Berwick
Journal:  Int J Epidemiol       Date:  1998-10       Impact factor: 7.196

10.  Body site distribution of cutaneous malignant melanoma in relationship to patterns of sun exposure.

Authors:  J M Elwood; R P Gallagher
Journal:  Int J Cancer       Date:  1998-10-29       Impact factor: 7.396

View more
  30 in total

1.  Selection for a dominant oncogene and large male size as a risk factor for melanoma in the Xiphophorus animal model.

Authors:  André A Fernandez; Paul R Bowser
Journal:  Mol Ecol       Date:  2010-08       Impact factor: 6.185

2.  Melanocytic nevi, nevus genes, and melanoma risk in a large case-control study in the United Kingdom.

Authors:  Julia A Newton-Bishop; Yu-Mei Chang; Mark M Iles; John C Taylor; Bert Bakker; May Chan; Susan Leake; Birute Karpavicius; Sue Haynes; Elaine Fitzgibbon; Faye Elliott; Peter A Kanetsky; Mark Harland; Jennifer H Barrett; D Timothy Bishop
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-07-20       Impact factor: 4.254

3.  Caffeine Intake, Coffee Consumption, and Risk of Cutaneous Malignant Melanoma.

Authors:  Shaowei Wu; Jiali Han; Fengju Song; Eunyoung Cho; Xiang Gao; David J Hunter; Abrar A Qureshi
Journal:  Epidemiology       Date:  2015-11       Impact factor: 4.822

Review 4.  The melanomas: a synthesis of epidemiological, clinical, histopathological, genetic, and biological aspects, supporting distinct subtypes, causal pathways, and cells of origin.

Authors:  David C Whiteman; William J Pavan; Boris C Bastian
Journal:  Pigment Cell Melanoma Res       Date:  2011-08-16       Impact factor: 4.693

5.  Association of Phenotypic Characteristics and UV Radiation Exposure With Risk of Melanoma on Different Body Sites.

Authors:  Reza Ghiasvand; Trude E Robsahm; Adele C Green; Corina S Rueegg; Elisabete Weiderpass; Eiliv Lund; Marit B Veierød
Journal:  JAMA Dermatol       Date:  2019-01-01       Impact factor: 10.282

6.  Effect of hair color and sun sensitivity on nevus counts in white children in Colorado.

Authors:  Jenny Aalborg; Joseph G Morelli; Tim E Byers; Stefan T Mokrohisky; Lori A Crane
Journal:  J Am Acad Dermatol       Date:  2010-06-26       Impact factor: 11.527

Review 7.  Ultraviolet Radiation Exposure and Its Impact on Skin Cancer Risk.

Authors:  Meg Watson; Dawn M Holman; Maryellen Maguire-Eisen
Journal:  Semin Oncol Nurs       Date:  2016-07-29       Impact factor: 2.315

8.  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

Review 9.  A new understanding in the epidemiology of melanoma.

Authors:  Esther Erdei; Salina M Torres
Journal:  Expert Rev Anticancer Ther       Date:  2010-11       Impact factor: 4.512

10.  Population-based, case-control-family design to investigate genetic and environmental influences on melanoma risk: Australian Melanoma Family Study.

Authors:  Anne E Cust; Helen Schmid; Judith A Maskiell; Jodie Jetann; Megan Ferguson; Elizabeth A Holland; Chantelle Agha-Hamilton; Mark A Jenkins; John Kelly; Richard F Kefford; Graham G Giles; Bruce K Armstrong; Joanne F Aitken; John L Hopper; Graham J Mann
Journal:  Am J Epidemiol       Date:  2009-11-03       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.