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Genetic variants of PDGF signaling pathway genes predict cutaneous melanoma survival.

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Date
2017-09
Authors
Li, Hong
Wang, Yanru
Liu, Hongliang
Shi, Qiong
Li, Hongyu
Wu, Wenting
Zhu, Dakai
Amos, Christopher I
Fang, Shenying
Lee, Jeffrey E
Li, Yi
Han, Jiali
Wei, Qingyi
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(13 total)
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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.
Type
Journal article
Subject
Cox regression
PDGF signaling pathway
cutaneous melanoma
single nucleotide polymorphisms
Permalink
https://hdl.handle.net/10161/23442
Published Version (Please cite this version)
10.18632/oncotarget.20245
Publication 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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Scholars@Duke

Wei

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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