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A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma

The mechanism of gender disparity in cutaneous melanoma incidence remains unclear. Steroid hormones including estrogens have long been implicated in the course of melanoma, but the conclusion is controversial. Estrogen receptors (ERs) and insulin-like growth factor 1 receptor (IGF1R) show extensive...

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Autores principales: Yuan, Tze-An, Yourk, Vandy, Farhat, Ali, Guo, Katherine L., Garcia, Angela, Meyskens, Frank L., Liu-Smith, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084478/
https://www.ncbi.nlm.nih.gov/pubmed/32150843
http://dx.doi.org/10.3390/ijms21051776
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author Yuan, Tze-An
Yourk, Vandy
Farhat, Ali
Guo, Katherine L.
Garcia, Angela
Meyskens, Frank L.
Liu-Smith, Feng
author_facet Yuan, Tze-An
Yourk, Vandy
Farhat, Ali
Guo, Katherine L.
Garcia, Angela
Meyskens, Frank L.
Liu-Smith, Feng
author_sort Yuan, Tze-An
collection PubMed
description The mechanism of gender disparity in cutaneous melanoma incidence remains unclear. Steroid hormones including estrogens have long been implicated in the course of melanoma, but the conclusion is controversial. Estrogen receptors (ERs) and insulin-like growth factor 1 receptor (IGF1R) show extensive crosstalk in cancer development, but how the ER/IGF1R network impacts melanoma is currently unclear. Here we studied the melanoma associations of selected SNPs from the ER/IGF1R network. Part of the International Genes, Environment, and Melanoma (GEM) cohort was used as a discovery set, and the Gene Environment Association Studies Initiative (GENEVA) dataset served as a validation set. Based on the associations with other malignant disease conditions, thirteen single nucleotide polymorphism (SNP) variants in ESR1, ESR2, IGF1, and IGF1R were selected for candidate gene association analyses. The rs1520220 in IGF1 and rs2229765 in IGF1R variants were significantly associated with melanoma risk in the GEM dataset after Benjamini-Hochberg multiple comparison correction, although they were not validated in the GENEVA set. The discrepancy may be caused by the multiple melanoma characteristics in the GEM patients. Further analysis of gender disparity was carried out for IGF1 and IGF1R SNPs in the GEM dataset. The GG phenotype in IGF1 rs1520220 (recessive model) presented an increased risk of melanoma (OR = 8.11, 95% CI: 2.20, 52.5, p = 0.006) in men but a significant opposite effect in women (OR = 0.15, 95% CI: 0.018, 0.86, p = 0.045). The AA genotype in IGF1R rs2229765 (recessive model) showed a significant protective effect in men (OR = 0.24, 95% CI: 0.07, 0.64, p = 0.008) and no effect in women. Results from the current study are warranted for further validation.
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spelling pubmed-70844782020-03-24 A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma Yuan, Tze-An Yourk, Vandy Farhat, Ali Guo, Katherine L. Garcia, Angela Meyskens, Frank L. Liu-Smith, Feng Int J Mol Sci Article The mechanism of gender disparity in cutaneous melanoma incidence remains unclear. Steroid hormones including estrogens have long been implicated in the course of melanoma, but the conclusion is controversial. Estrogen receptors (ERs) and insulin-like growth factor 1 receptor (IGF1R) show extensive crosstalk in cancer development, but how the ER/IGF1R network impacts melanoma is currently unclear. Here we studied the melanoma associations of selected SNPs from the ER/IGF1R network. Part of the International Genes, Environment, and Melanoma (GEM) cohort was used as a discovery set, and the Gene Environment Association Studies Initiative (GENEVA) dataset served as a validation set. Based on the associations with other malignant disease conditions, thirteen single nucleotide polymorphism (SNP) variants in ESR1, ESR2, IGF1, and IGF1R were selected for candidate gene association analyses. The rs1520220 in IGF1 and rs2229765 in IGF1R variants were significantly associated with melanoma risk in the GEM dataset after Benjamini-Hochberg multiple comparison correction, although they were not validated in the GENEVA set. The discrepancy may be caused by the multiple melanoma characteristics in the GEM patients. Further analysis of gender disparity was carried out for IGF1 and IGF1R SNPs in the GEM dataset. The GG phenotype in IGF1 rs1520220 (recessive model) presented an increased risk of melanoma (OR = 8.11, 95% CI: 2.20, 52.5, p = 0.006) in men but a significant opposite effect in women (OR = 0.15, 95% CI: 0.018, 0.86, p = 0.045). The AA genotype in IGF1R rs2229765 (recessive model) showed a significant protective effect in men (OR = 0.24, 95% CI: 0.07, 0.64, p = 0.008) and no effect in women. Results from the current study are warranted for further validation. MDPI 2020-03-05 /pmc/articles/PMC7084478/ /pubmed/32150843 http://dx.doi.org/10.3390/ijms21051776 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yuan, Tze-An
Yourk, Vandy
Farhat, Ali
Guo, Katherine L.
Garcia, Angela
Meyskens, Frank L.
Liu-Smith, Feng
A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title_full A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title_fullStr A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title_full_unstemmed A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title_short A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma
title_sort possible link of genetic variations in er/igf1r pathway and risk of melanoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084478/
https://www.ncbi.nlm.nih.gov/pubmed/32150843
http://dx.doi.org/10.3390/ijms21051776
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