BACKGROUND AND METHODS: Seven genetic biomarkers previously associated with melanoma were analysed in a meta-analysis conducted in three South European populations: five red hair colour (RHC) MC1R alleles, one SLC45A2 variant (p.Phe374Leu) and one thermosensitive TYR variant (p.Arg402Gln). The study included 1639 melanoma patients and 1342 control subjects. RESULTS: The estimated odds ratio (OR) associated with carrying at least one MC1R RHC variant was 2.18 (95% confidence interval (CI): 1.86-2.55; p-value=1.02×10(-21)), with an additive effect for carrying two RHC variants (OR: 5.02, 95% CI: 2.88-8.94, p-value=3.91×10(-8)). The SLC45A2 variant, p.Phe374Leu, was significantly and strongly protective for melanoma in the three South European populations studied, with an overall OR value of 0.41 (95% CI: 0.33-0.50; p-value=3.50×10(-17)). The association with melanoma of the TYR variant p.Arg402Gln was also statistically significant (OR: 1.50; 95% CI: 1.11-2.04; p-value=0.0089). Adjustment for all clinical potential confounders showed that melanoma risks attributable to MC1R and SLC45A2 variants strongly persisted (OR: 2.01 95% CI: 1.49-2.72 and OR: 0.50, 95% CI: 0.31-0.80, respectively), while the association of TYR p.Arg402Gln was no longer significant. In addition, stratification of clinical melanoma risk factors showed that the risk of melanoma was strong in those individuals who did not have clinical risk factors. CONCLUSION: In conclusion, our results show without ambiguity that in South European populations, MC1R RHC and SCL45A2 p.Phe374Leu variants are strong melanoma risk predictors, notably in those individuals who would not be identified as high risk based on their phenotypes or exposures alone. The use of these biomarkers in clinical practice could be promising and warrants further discussion.
BACKGROUND AND METHODS: Seven genetic biomarkers previously associated with melanoma were analysed in a meta-analysis conducted in three South European populations: five red hair colour (RHC) MC1R alleles, one SLC45A2 variant (p.Phe374Leu) and one thermosensitive TYR variant (p.Arg402Gln). The study included 1639 melanomapatients and 1342 control subjects. RESULTS: The estimated odds ratio (OR) associated with carrying at least one MC1R RHC variant was 2.18 (95% confidence interval (CI): 1.86-2.55; p-value=1.02×10(-21)), with an additive effect for carrying two RHC variants (OR: 5.02, 95% CI: 2.88-8.94, p-value=3.91×10(-8)). The SLC45A2 variant, p.Phe374Leu, was significantly and strongly protective for melanoma in the three South European populations studied, with an overall OR value of 0.41 (95% CI: 0.33-0.50; p-value=3.50×10(-17)). The association with melanoma of the TYR variant p.Arg402Gln was also statistically significant (OR: 1.50; 95% CI: 1.11-2.04; p-value=0.0089). Adjustment for all clinical potential confounders showed that melanoma risks attributable to MC1R and SLC45A2 variants strongly persisted (OR: 2.01 95% CI: 1.49-2.72 and OR: 0.50, 95% CI: 0.31-0.80, respectively), while the association of TYRp.Arg402Gln was no longer significant. In addition, stratification of clinical melanoma risk factors showed that the risk of melanoma was strong in those individuals who did not have clinical risk factors. CONCLUSION: In conclusion, our results show without ambiguity that in South European populations, MC1R RHC and SCL45A2 p.Phe374Leu variants are strong melanoma risk predictors, notably in those individuals who would not be identified as high risk based on their phenotypes or exposures alone. The use of these biomarkers in clinical practice could be promising and warrants further discussion.
Authors: Jennifer L Hay; Kate Zielaskowski; Kirsten Meyer White; Kimberly Kaphingst; Erika Robers; Dolores Guest; Andrew Sussman; Yvonne Talamantes; Matthew Schwartz; Vivian M Rodríguez; Yuelin Li; Elizabeth Schofield; Jessica Bigney; Keith Hunley; David Buller; Marianne Berwick Journal: JAMA Dermatol Date: 2018-06-01 Impact factor: 10.282
Authors: Maryam M Asgari; Wei Wang; Nilah M Ioannidis; Jacqueline Itnyre; Thomas Hoffmann; Eric Jorgenson; Alice S Whittemore Journal: J Invest Dermatol Date: 2016-01-29 Impact factor: 8.551
Authors: Maria Peña-Chilet; Maite Blanquer-Maceiras; Maider Ibarrola-Villava; Conrado Martinez-Cadenas; Manuel Martin-Gonzalez; Cristina Gomez-Fernandez; Matias Mayor; Juan Antonio Aviles; Ana Lluch; Gloria Ribas Journal: BMC Cancer Date: 2013-03-27 Impact factor: 4.430
Authors: Elena Pasquali; José C García-Borrón; Maria Concetta Fargnoli; Sara Gandini; Patrick Maisonneuve; Vincenzo Bagnardi; Claudia Specchia; Fan Liu; Manfred Kayser; Tamar Nijsten; Eduardo Nagore; Rajiv Kumar; Johan Hansson; Peter A Kanetsky; Paola Ghiorzo; Tadeusz Debniak; Wojciech Branicki; Nelleke A Gruis; Jiali Han; Terry Dwyer; Leigh Blizzard; Maria Teresa Landi; Giuseppe Palmieri; Gloria Ribas; Alexander Stratigos; M Laurin Council; Philippe Autier; Julian Little; Julia Newton-Bishop; Francesco Sera; Sara Raimondi Journal: Int J Cancer Date: 2014-06-18 Impact factor: 7.396