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Association between ACYP2 polymorphisms and the risk of renal cell cancer

BACKGROUND: Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the...

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Autores principales: Wang, Yuhe, Zhang, Yongtong, Sun, Yao, Wu, Jiamin, Chang, Junke, Xiong, Zichao, Niu, Fanglin, Gu, Shanzhi, Jin, Tianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825851/
https://www.ncbi.nlm.nih.gov/pubmed/31487124
http://dx.doi.org/10.1002/mgg3.966
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author Wang, Yuhe
Zhang, Yongtong
Sun, Yao
Wu, Jiamin
Chang, Junke
Xiong, Zichao
Niu, Fanglin
Gu, Shanzhi
Jin, Tianbo
author_facet Wang, Yuhe
Zhang, Yongtong
Sun, Yao
Wu, Jiamin
Chang, Junke
Xiong, Zichao
Niu, Fanglin
Gu, Shanzhi
Jin, Tianbo
author_sort Wang, Yuhe
collection PubMed
description BACKGROUND: Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population. METHODS: Twelve single‐nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi‐squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI). RESULTS: We observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03–1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06–1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log‐additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype “TTCTCGCC” (OR = 0.67, 95% CI: 0.48–0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk. CONCLUSION: In summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results.
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spelling pubmed-68258512019-11-07 Association between ACYP2 polymorphisms and the risk of renal cell cancer Wang, Yuhe Zhang, Yongtong Sun, Yao Wu, Jiamin Chang, Junke Xiong, Zichao Niu, Fanglin Gu, Shanzhi Jin, Tianbo Mol Genet Genomic Med Original Articles BACKGROUND: Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population. METHODS: Twelve single‐nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi‐squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI). RESULTS: We observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03–1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06–1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log‐additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype “TTCTCGCC” (OR = 0.67, 95% CI: 0.48–0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk. CONCLUSION: In summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results. John Wiley and Sons Inc. 2019-09-05 /pmc/articles/PMC6825851/ /pubmed/31487124 http://dx.doi.org/10.1002/mgg3.966 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Wang, Yuhe
Zhang, Yongtong
Sun, Yao
Wu, Jiamin
Chang, Junke
Xiong, Zichao
Niu, Fanglin
Gu, Shanzhi
Jin, Tianbo
Association between ACYP2 polymorphisms and the risk of renal cell cancer
title Association between ACYP2 polymorphisms and the risk of renal cell cancer
title_full Association between ACYP2 polymorphisms and the risk of renal cell cancer
title_fullStr Association between ACYP2 polymorphisms and the risk of renal cell cancer
title_full_unstemmed Association between ACYP2 polymorphisms and the risk of renal cell cancer
title_short Association between ACYP2 polymorphisms and the risk of renal cell cancer
title_sort association between acyp2 polymorphisms and the risk of renal cell cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825851/
https://www.ncbi.nlm.nih.gov/pubmed/31487124
http://dx.doi.org/10.1002/mgg3.966
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