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RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area
BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 80% of diagnosed lung cancer patients. RAD52 has been reported to be associated with the development of squamous cell lung carcinoma. In this study, we assessed the relationships of RAD52 genetic polymorphisms and NSCLC risk a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7223216/ https://www.ncbi.nlm.nih.gov/pubmed/32401173 http://dx.doi.org/10.1177/1753466620918192 |
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author | Li, Miao Chen, Rong Ji, Baoyan Fan, Chunmei Wang, Guanying Yue, Chenli Jin, Guoquan |
author_facet | Li, Miao Chen, Rong Ji, Baoyan Fan, Chunmei Wang, Guanying Yue, Chenli Jin, Guoquan |
author_sort | Li, Miao |
collection | PubMed |
description | BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 80% of diagnosed lung cancer patients. RAD52 has been reported to be associated with the development of squamous cell lung carcinoma. In this study, we assessed the relationships of RAD52 genetic polymorphisms and NSCLC risk among the Chinese population at high altitude. METHODS: Eight single nucleotide polymorphisms (SNPs) of RAD52 were genotyped in the Agena MassARRAY platform among 506 NSCLC patients and 510 healthy controls. We examined the association of RAD52 polymorphisms with NSCLC risk using odds ratios (ORs) and 95% confidence intervals (CIs) via multiple genetic models. RESULTS: The rs10774474 A allele was related to a decreased risk of NSCLC in a high altitude population of China (OR = 0.82, 95% CI = 0.69–0.98, p = 0.032), whereas mutant alleles of rs1051672, rs7310449, rs1051669, rs6413436, rs4766377 and rs10849605 significantly increased NSCLC risk. Haplotype analysis showed that four haplotypes of RAD52 polymorphisms conferred an enhanced susceptibility to NSCLC (A(rs1051672)G(rs7310449)T(rs1051669)A(rs6413436): OR = 1.29, p = 0.021; G(rs1051672)A(rs7310449)C(rs1051669)G(rs6413436): OR = 1.21, p = 0.027; G(rs4766377)C(rs12822733)T(rs10774474)C(rs10849605): OR = 1.26, p = 0.032; A(rs4766377)C(rs12822733)A(rs10774474)T(rs10849605): OR = 1.21, p = 0.032). CONCLUSIONS: Our findings suggested the remarkable association of RAD52 polymorphisms with NSCLC risk among the Chinese population in a high altitude area. The reviews of this paper are available via the supplemental material section. |
format | Online Article Text |
id | pubmed-7223216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72232162020-05-20 RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area Li, Miao Chen, Rong Ji, Baoyan Fan, Chunmei Wang, Guanying Yue, Chenli Jin, Guoquan Ther Adv Respir Dis Original Research BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 80% of diagnosed lung cancer patients. RAD52 has been reported to be associated with the development of squamous cell lung carcinoma. In this study, we assessed the relationships of RAD52 genetic polymorphisms and NSCLC risk among the Chinese population at high altitude. METHODS: Eight single nucleotide polymorphisms (SNPs) of RAD52 were genotyped in the Agena MassARRAY platform among 506 NSCLC patients and 510 healthy controls. We examined the association of RAD52 polymorphisms with NSCLC risk using odds ratios (ORs) and 95% confidence intervals (CIs) via multiple genetic models. RESULTS: The rs10774474 A allele was related to a decreased risk of NSCLC in a high altitude population of China (OR = 0.82, 95% CI = 0.69–0.98, p = 0.032), whereas mutant alleles of rs1051672, rs7310449, rs1051669, rs6413436, rs4766377 and rs10849605 significantly increased NSCLC risk. Haplotype analysis showed that four haplotypes of RAD52 polymorphisms conferred an enhanced susceptibility to NSCLC (A(rs1051672)G(rs7310449)T(rs1051669)A(rs6413436): OR = 1.29, p = 0.021; G(rs1051672)A(rs7310449)C(rs1051669)G(rs6413436): OR = 1.21, p = 0.027; G(rs4766377)C(rs12822733)T(rs10774474)C(rs10849605): OR = 1.26, p = 0.032; A(rs4766377)C(rs12822733)A(rs10774474)T(rs10849605): OR = 1.21, p = 0.032). CONCLUSIONS: Our findings suggested the remarkable association of RAD52 polymorphisms with NSCLC risk among the Chinese population in a high altitude area. The reviews of this paper are available via the supplemental material section. SAGE Publications 2020-05-13 /pmc/articles/PMC7223216/ /pubmed/32401173 http://dx.doi.org/10.1177/1753466620918192 Text en © The Author(s), 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Li, Miao Chen, Rong Ji, Baoyan Fan, Chunmei Wang, Guanying Yue, Chenli Jin, Guoquan RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title | RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title_full | RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title_fullStr | RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title_full_unstemmed | RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title_short | RAD52 variants influence NSCLC risk in the Chinese population in a high altitude area |
title_sort | rad52 variants influence nsclc risk in the chinese population in a high altitude area |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7223216/ https://www.ncbi.nlm.nih.gov/pubmed/32401173 http://dx.doi.org/10.1177/1753466620918192 |
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