| Literature DB >> 29313974 |
Bo Li1,2,3, Yanru Wang1,2, Yinghui Xu1,2,4, Hongliang Liu1,2, Wendy Bloomer1,2, Dakai Zhu5, Christopher I Amos5, Shenying Fang6, Jeffrey E Lee6, Xin Li7, Jiali Han8, Qingyi Wei1,2,9.
Abstract
Cutaneous melanoma (CM) is considered as a steroid hormone-related malignancy. However, few studies have evaluated the roles of genetic variants encoding steroid hormone receptor genes and their related regulators (SHR-related genes) in CM-specific survival (CMSS). Here, we performed a pathway-based analysis to evaluate genetic variants of 191 SHR-related genes in 858 CMSS patients using a dataset from a genome-wide association study (GWAS) from The University of Texas MD Anderson Cancer Center (MDACC), and then validated the results in an additional dataset of 409 patients from the Harvard GWAS. Using multivariate Cox proportional hazards regression analysis, we identified three-independent SNPs (RORA rs782917 G > A, RORA rs17204952 C > T and DNMT1 rs7253062 G > A) as predictors of CMSS, with a variant-allele attributed hazards ratio (HR) and 95% confidence interval of 1.62 (1.25-2.09), 1.60 (1.20-2.13) and 1.52 (1.20-1.94), respectively. Combined analysis of risk genotypes of these three SNPs revealed a decreased CMSS in a dose-response manner as the number of risk genotypes increased (ptrend < 0.001); however, no improvement in the prediction model was observed (area under the curve [AUC] = 79.6-80.8%, p = 0.656), when these risk genotypes were added to the model containing clinical variables. Our findings suggest that genetic variants of RORA and DNMT1 may be promising biomarkers for CMSS, but these results needed to be validated in future larger studies.Entities:
Keywords: cutaneous melanoma (CM); cutaneous melanoma-specific survival (CMSS); genome-wide association study (GWAS); single-nucleotide polymorphism (SNP); steroid hormone receptor
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Year: 2018 PMID: 29313974 PMCID: PMC5893376 DOI: 10.1002/ijc.31243
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396