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Novel Genetic Variants of ALG6 and GALNTL4 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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Detalles Bibliográficos
Autores principales: Zhou, Bingrong, Zhao, Yu Chen, Liu, Hongliang, Luo, Sheng, Amos, Christopher I., Lee, Jeffrey E., Li, Xin, Nan, Hongmei, Wei, Qingyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072252/
https://www.ncbi.nlm.nih.gov/pubmed/31991610
http://dx.doi.org/10.3390/cancers12020288
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author Zhou, Bingrong
Zhao, Yu Chen
Liu, Hongliang
Luo, Sheng
Amos, Christopher I.
Lee, Jeffrey E.
Li, Xin
Nan, Hongmei
Wei, Qingyi
author_facet Zhou, Bingrong
Zhao, Yu Chen
Liu, Hongliang
Luo, Sheng
Amos, Christopher I.
Lee, Jeffrey E.
Li, Xin
Nan, Hongmei
Wei, Qingyi
author_sort Zhou, Bingrong
collection PubMed
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) (ALG6 rs10889417 G>A and GALNTL4 rs12270446 G>C) predicted CMSS, with an adjusted hazards ratios of 0.60 (95% confidence interval = 0.44–0.83 and p = 0.002) and 0.66 (0.52–0.84 and 0.004), respectively. Subsequent expression quantitative trait loci (eQTL) analysis revealed that ALG6 rs10889417 was associated with mRNA expression levels in the cultured skin fibroblasts and whole blood cells and that GALNTL4 rs12270446 was associated with mRNA expression levels in the skin tissues (all p < 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.
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spelling pubmed-70722522020-03-19 Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival Zhou, Bingrong Zhao, Yu Chen Liu, Hongliang Luo, Sheng Amos, Christopher I. Lee, Jeffrey E. Li, Xin Nan, Hongmei Wei, Qingyi Cancers (Basel) Article 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) (ALG6 rs10889417 G>A and GALNTL4 rs12270446 G>C) predicted CMSS, with an adjusted hazards ratios of 0.60 (95% confidence interval = 0.44–0.83 and p = 0.002) and 0.66 (0.52–0.84 and 0.004), respectively. Subsequent expression quantitative trait loci (eQTL) analysis revealed that ALG6 rs10889417 was associated with mRNA expression levels in the cultured skin fibroblasts and whole blood cells and that GALNTL4 rs12270446 was associated with mRNA expression levels in the skin tissues (all p < 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. MDPI 2020-01-24 /pmc/articles/PMC7072252/ /pubmed/31991610 http://dx.doi.org/10.3390/cancers12020288 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
Zhou, Bingrong
Zhao, Yu Chen
Liu, Hongliang
Luo, Sheng
Amos, Christopher I.
Lee, Jeffrey E.
Li, Xin
Nan, Hongmei
Wei, Qingyi
Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_full Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_fullStr Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_full_unstemmed Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_short Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival
title_sort novel genetic variants of alg6 and galntl4 of the glycosylation pathway predict cutaneous melanoma-specific survival
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072252/
https://www.ncbi.nlm.nih.gov/pubmed/31991610
http://dx.doi.org/10.3390/cancers12020288
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