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Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility
BACKGROUND: Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk. MATERIALS & METHODS: A total of 506 gastric cancer patients and 5...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972026/ https://www.ncbi.nlm.nih.gov/pubmed/31959117 http://dx.doi.org/10.1186/s12876-020-1169-8 |
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author | Zou, Wenjing Li, Xu Li, Cheng Liu, Dan Lv, Yanyan Yang, Ying Ye, Nan Guo, Dan He, Shuixiang |
author_facet | Zou, Wenjing Li, Xu Li, Cheng Liu, Dan Lv, Yanyan Yang, Ying Ye, Nan Guo, Dan He, Shuixiang |
author_sort | Zou, Wenjing |
collection | PubMed |
description | BACKGROUND: Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk. MATERIALS & METHODS: A total of 506 gastric cancer patients and 500 healthy controls were enrolled in this study. Genotypes were examined with the MassARRAY platform and data management and analysis were conducted with the Typer Software. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated with logistic regression adjusting for age and gender to evaluate the associations between SNPs with gastric cancer in genetic model analysis. RESULTS: The “CC” genotype of rs4143370 decreased the risk of gastric cancer in genotype model (p = 0.020) and recessive model (p = 0.018). Inversely, the “CC” genotype of rs1893650 increased the risk of gastric cancer in genotype model (p = 0.023) and recessive model (p = 0.014). Stratified analysis showed that rs11911469 was associated with an increased risk of gastric cancer only among the male group in the dominant model (p = 0.039) and additive model (p = 0.030). The haplotype analysis showed a strong linkage disequilibrium among these six SNPs (rs4143370, rs77699734, rs11911469, rs1893650, rs34904192 and rs928883). CONCLUSION: This study confirmed the relationship between SNPs of MIR155HG and the gastric cancer risk among the Chinese Han population. Our data may provide a new perspective to understand the aetiology of gastric cancer. |
format | Online Article Text |
id | pubmed-6972026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69720262020-01-27 Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility Zou, Wenjing Li, Xu Li, Cheng Liu, Dan Lv, Yanyan Yang, Ying Ye, Nan Guo, Dan He, Shuixiang BMC Gastroenterol Research Article BACKGROUND: Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk. MATERIALS & METHODS: A total of 506 gastric cancer patients and 500 healthy controls were enrolled in this study. Genotypes were examined with the MassARRAY platform and data management and analysis were conducted with the Typer Software. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated with logistic regression adjusting for age and gender to evaluate the associations between SNPs with gastric cancer in genetic model analysis. RESULTS: The “CC” genotype of rs4143370 decreased the risk of gastric cancer in genotype model (p = 0.020) and recessive model (p = 0.018). Inversely, the “CC” genotype of rs1893650 increased the risk of gastric cancer in genotype model (p = 0.023) and recessive model (p = 0.014). Stratified analysis showed that rs11911469 was associated with an increased risk of gastric cancer only among the male group in the dominant model (p = 0.039) and additive model (p = 0.030). The haplotype analysis showed a strong linkage disequilibrium among these six SNPs (rs4143370, rs77699734, rs11911469, rs1893650, rs34904192 and rs928883). CONCLUSION: This study confirmed the relationship between SNPs of MIR155HG and the gastric cancer risk among the Chinese Han population. Our data may provide a new perspective to understand the aetiology of gastric cancer. BioMed Central 2020-01-20 /pmc/articles/PMC6972026/ /pubmed/31959117 http://dx.doi.org/10.1186/s12876-020-1169-8 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zou, Wenjing Li, Xu Li, Cheng Liu, Dan Lv, Yanyan Yang, Ying Ye, Nan Guo, Dan He, Shuixiang Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title | Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title_full | Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title_fullStr | Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title_full_unstemmed | Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title_short | Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility |
title_sort | analysis of the relationship between mir155hg variants and gastric cancer susceptibility |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972026/ https://www.ncbi.nlm.nih.gov/pubmed/31959117 http://dx.doi.org/10.1186/s12876-020-1169-8 |
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