Genetic variants of PDGF signaling pathway genes predict cutaneous melanoma survival.
Abstract
To investigate whether genetic variants of platelet-derived growth factor (PDGF) signaling
pathway genes are associated with survival of cutaneous melanoma (CM) patients, we
assessed associations of single-nucleotide polymorphisms in PDGF pathway with melanoma-specific
survival in 858 CM patients of M.D. Anderson Cancer Center (MDACC). Additional data
of 409 cases from Harvard University were also included for further analysis. We identified
13 SNPs in four genes (COL6A3, NCK2, COL5A1 and PRKCD) with a nominal P < 0.05 and false discovery rate (FDR) < 0.2 in MDACC dataset. Based on linkage disequilibrium,
functional prediction and minor allele frequency, a representative SNP in each gene
was selected. In the meta-analysis using MDACC and Harvard datasets, there were two
SNPs associated with poor survival of CM patients: rs6707820 C>T in NCK2 (HR = 1.87, 95% CI = 1.35-2.59, Pmeta= 1.53E-5); and rs2306574 T>C in PRKCD (HR = 1.73, 95% CI = 1.33-2.24, Pmeta= 4.56E-6). Moreover, CM patients in MDACC with combined risk genotypes of these two
loci had markedly poorer survival (HR = 2.47, 95% CI = 1.58-3.84, P < 0.001). Genetic variants of rs6707820 C>T in NCK2 and rs2306574 T>C in PRKCD of the PDGF signaling pathway may be biomarkers for melanoma survival.
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https://hdl.handle.net/10161/23442Published Version (Please cite this version)
10.18632/oncotarget.20245Publication Info
Li, Hong; Wang, Yanru; Liu, Hongliang; Shi, Qiong; Li, Hongyu; Wu, Wenting; ... Wei,
Qingyi (2017). Genetic variants of PDGF signaling pathway genes predict cutaneous melanoma survival.
Oncotarget, 8(43). pp. 74595-74606. 10.18632/oncotarget.20245. Retrieved from https://hdl.handle.net/10161/23442.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Qingyi Wei
Professor in Population Health Sciences
Qingyi Wei, MD, PhD, Professor in the Department of Medicine, is Associate Director
for Cancer Control and Population Sciences, Co-leader of CCPS and Co-leader of Epidemiology
and Population Genomics (Focus Area 1). He is a professor of Medicine and an internationally
recognized epidemiologist focused on the molecular and genetic epidemiology of head
and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and
genetic determinants for the DNA repair deficient phenotype and

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