Literature DB >> 15057047

Constitutional and environmental risk factors for cutaneous melanoma in an Italian population. A case-control study.

Maria Concetta Fargnoli1, Domenico Piccolo, Emma Altobelli, Federica Formicone, Sergio Chimenti, Ketty Peris.   

Abstract

The aim of this study was to determine the relative risk for cutaneous melanoma associated with phenotypic and environmental variables in a population in central Italy and to assess how the combination of the different risk factors contributes to the overall risk for melanoma. We performed a case-control study of 100 patients with sporadic cutaneous melanoma and 200 controls matched for sex, age, ethnicity and residential area. Individuals were interviewed concerning pigmentary traits and sun exposure, and underwent a total body skin examination. Logistic regression models were used to evaluate the association between cutaneous melanoma and constitutional and environmental variables. The strongest risk factors were prolonged recreational sun exposure (odds ratio [OR] 5.010, 95% confidence interval [CI] 2.110-11.891), the presence of clinically atypical naevi (OR 4.916, 95% CI 2.496-9.995) and the presence of >50 common melanocytic naevi (OR 4.684, 95% CI 2.442-9.231). In addition, occupational sun exposure (OR 2.573, 95% CI 1.399-4.732), light brown hair (OR 2.336, 95% CI 1.328-4.138), high density of solar lentigos and/or actinic keratoses (OR 1.824, 95% CI 1.0-3.510) and type II, fair skin (OR 1.815, 95% CI 1.031-3.193) and blue eyes (OR 1.757, 95% CI 1.0-3.477) were each significantly associated with cutaneous melanoma risk. The combination of individual strong risk factors was associated with up to a 46-fold increase in the risk for cutaneous melanoma. Selected pigmentary traits, sun exposure and melanocytic naevi, individually and in combination, are important risk factors for cutaneous melanoma in an Italian population.

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Year:  2004        PMID: 15057047     DOI: 10.1097/00008390-200404000-00013

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  13 in total

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Authors:  Terry A Day; Joshua D Hornig; Anand K Sharma; Frank Brescia; M Boyd Gillespie; Deanne Lathers
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Review 2.  Predicting melanoma risk: theory, practice and future challenges.

Authors:  David Whiteman
Journal:  Melanoma Manag       Date:  2014-12-04

Review 3.  Epidemiological and genetic factors underlying melanoma development in Italy.

Authors:  Giuseppe Palmieri; Maria Colombino; Milena Casula; Mario Budroni; Antonella Manca; Maria Cristina Sini; Amelia Lissia; Ignazio Stanganelli; Paolo A Ascierto; Antonio Cossu
Journal:  Melanoma Manag       Date:  2015-05-18

4.  MelaNostrum: a consensus questionnaire of standardized epidemiologic and clinical variables for melanoma risk assessment by the melanostrum consortium.

Authors:  Alexander J Stratigos; Maria Concetta Fargnoli; Arcangela De Nicolo; Ketty Peris; Susana Puig; Efthymia Soura; Chiara Menin; Donato Calista; Paola Ghiorzo; Mario Mandala; Daniela Massi; Monica Rodolfo; Laura Del Regno; Irene Stefanaki; Helen Gogas; Veronique Bataille; Margaret A Tucker; David Whiteman; Eduardo Nagore; Maria Teresa Landi
Journal:  J Eur Acad Dermatol Venereol       Date:  2018-09-14       Impact factor: 6.166

5.  Independent validation of six melanoma risk prediction models.

Authors:  Catherine M Olsen; Rachel E Neale; Adèle C Green; Penelope M Webb; David C Whiteman
Journal:  J Invest Dermatol       Date:  2014-12-30       Impact factor: 8.551

6.  Using the Prediction Model Risk of Bias Assessment Tool (PROBAST) to Evaluate Melanoma Prediction Studies.

Authors:  Isabelle Kaiser; Sonja Mathes; Annette B Pfahlberg; Wolfgang Uter; Carola Berking; Markus V Heppt; Theresa Steeb; Katharina Diehl; Olaf Gefeller
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

7.  Dermoscopic features of cutaneous melanoma are associated with clinical characteristics of patients and tumours and with MC1R genotype.

Authors:  M C Fargnoli; F Sera; M Suppa; D Piccolo; M T Landi; A Chiarugi; C Pellegrini; S Seidenari; K Peris
Journal:  J Eur Acad Dermatol Venereol       Date:  2014-03-04       Impact factor: 6.166

8.  Sunburns and risk of cutaneous melanoma: does age matter? A comprehensive meta-analysis.

Authors:  Leslie K Dennis; Marta J Vanbeek; Laura E Beane Freeman; Brian J Smith; Deborah V Dawson; Julie A Coughlin
Journal:  Ann Epidemiol       Date:  2008-08       Impact factor: 3.797

Review 9.  Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

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Journal:  J Med Internet Res       Date:  2021-07-02       Impact factor: 5.428

Review 10.  Current Data on Risk Factor Estimates Does Not Explain the Difference in Rates of Melanoma between Hispanics and Non-Hispanic Whites.

Authors:  Sonia Kamath; Kimberly A Miller; Myles G Cockburn
Journal:  J Skin Cancer       Date:  2016-03-22
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