Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival

Because aberrant glycosylation is known to play a role in the progression of melanoma, we hypothesize that genetic variants of glycosylation pathway genes are associated with the survival of cutaneous melanoma (CM) patients. To test this hypothesis, we used a Cox proportional hazards regression mode...

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Main Authors: Bingrong Zhou, Yu Chen Zhao, Hongliang Liu, Sheng Luo, Christopher I. Amos, Jeffrey E. Lee, Xin Li, Hongmei Nan, Qingyi Wei
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/2/288
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spelling doaj-c4740608279c4ee180f4ec2cc743732d2020-11-25T03:32:39ZengMDPI AGCancers2072-66942020-01-0112228810.3390/cancers12020288cancers12020288Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific SurvivalBingrong Zhou0Yu Chen Zhao1Hongliang Liu2Sheng Luo3Christopher I. Amos4Jeffrey E. Lee5Xin Li6Hongmei Nan7Qingyi Wei8Department of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, ChinaDuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USADuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USADepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USAInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USADepartment of Surgical Oncology, the University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USAChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USAChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USADuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USABecause aberrant glycosylation is known to play a role in the progression of melanoma, we hypothesize that genetic variants of glycosylation pathway genes are associated with the survival of cutaneous melanoma (CM) patients. To test this hypothesis, we used a Cox proportional hazards regression model in a single-locus analysis to evaluate associations between 34,096 genetic variants of 227 glycosylation pathway genes and CM disease-specific survival (CMSS) using genotyping data from two previously published genome-wide association studies. The discovery dataset included 858 CM patients with 95 deaths from The University of Texas MD Anderson Cancer Center, and the replication dataset included 409 CM patients with 48 deaths from Harvard University nurse/physician cohorts. In the multivariable Cox regression analysis, we found that two novel single-nucleotide polymorphisms (SNPs) (<i>ALG6</i> rs10889417 G&gt;A and <i>GALNTL4</i> rs12270446 G&gt;C) predicted CMSS, with an adjusted hazards ratios of 0.60 (95% confidence interval = 0.44&#8722;0.83 and <i>p</i> = 0.002) and 0.66 (0.52&#8722;0.84 and 0.004), respectively. Subsequent expression quantitative trait loci (eQTL) analysis revealed that <i>ALG6</i> rs10889417 was associated with mRNA expression levels in the cultured skin fibroblasts and whole blood cells and that <i>GALNTL4</i> rs12270446 was associated with mRNA expression levels in the skin tissues (all <i>p</i> &lt; 0.05). Our findings suggest that, once validated by other large patient cohorts, these two novel SNPs in the glycosylation pathway genes may be useful prognostic biomarkers for CMSS, likely through modulating their gene expression.https://www.mdpi.com/2072-6694/12/2/288cutaneous melanomaexpression quantitative trait lociglycosylationsingle-nucleotide polymorphismsurvival analysis
collection DOAJ
language English
format Article
sources DOAJ
author Bingrong Zhou
Yu Chen Zhao
Hongliang Liu
Sheng Luo
Christopher I. Amos
Jeffrey E. Lee
Xin Li
Hongmei Nan
Qingyi Wei
spellingShingle Bingrong Zhou
Yu Chen Zhao
Hongliang Liu
Sheng Luo
Christopher I. Amos
Jeffrey E. Lee
Xin Li
Hongmei Nan
Qingyi Wei
Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
Cancers
cutaneous melanoma
expression quantitative trait loci
glycosylation
single-nucleotide polymorphism
survival analysis
author_facet Bingrong Zhou
Yu Chen Zhao
Hongliang Liu
Sheng Luo
Christopher I. Amos
Jeffrey E. Lee
Xin Li
Hongmei Nan
Qingyi Wei
author_sort Bingrong Zhou
title Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_short Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_full Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_fullStr Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_full_unstemmed Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_sort novel genetic variants of <i>alg6</i> and <i>galntl4</i> of the glycosylation pathway predict cutaneous melanoma-specific survival
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-01-01
description Because aberrant glycosylation is known to play a role in the progression of melanoma, we hypothesize that genetic variants of glycosylation pathway genes are associated with the survival of cutaneous melanoma (CM) patients. To test this hypothesis, we used a Cox proportional hazards regression model in a single-locus analysis to evaluate associations between 34,096 genetic variants of 227 glycosylation pathway genes and CM disease-specific survival (CMSS) using genotyping data from two previously published genome-wide association studies. The discovery dataset included 858 CM patients with 95 deaths from The University of Texas MD Anderson Cancer Center, and the replication dataset included 409 CM patients with 48 deaths from Harvard University nurse/physician cohorts. In the multivariable Cox regression analysis, we found that two novel single-nucleotide polymorphisms (SNPs) (<i>ALG6</i> rs10889417 G&gt;A and <i>GALNTL4</i> rs12270446 G&gt;C) predicted CMSS, with an adjusted hazards ratios of 0.60 (95% confidence interval = 0.44&#8722;0.83 and <i>p</i> = 0.002) and 0.66 (0.52&#8722;0.84 and 0.004), respectively. Subsequent expression quantitative trait loci (eQTL) analysis revealed that <i>ALG6</i> rs10889417 was associated with mRNA expression levels in the cultured skin fibroblasts and whole blood cells and that <i>GALNTL4</i> rs12270446 was associated with mRNA expression levels in the skin tissues (all <i>p</i> &lt; 0.05). Our findings suggest that, once validated by other large patient cohorts, these two novel SNPs in the glycosylation pathway genes may be useful prognostic biomarkers for CMSS, likely through modulating their gene expression.
topic cutaneous melanoma
expression quantitative trait loci
glycosylation
single-nucleotide polymorphism
survival analysis
url https://www.mdpi.com/2072-6694/12/2/288
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