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...

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Main Authors: Miao Li, Rong Chen, Baoyan Ji, Chunmei Fan, Guanying Wang, Chenli Yue, Guoquan Jin
Format: Article
Language:English
Published: SAGE Publishing 2020-05-01
Series:Therapeutic Advances in Respiratory Disease
Online Access:https://doi.org/10.1177/1753466620918192
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spelling doaj-ed430d4faa3247f7a67de202054346ce2020-11-25T03:04:41ZengSAGE PublishingTherapeutic Advances in Respiratory Disease1753-46662020-05-011410.1177/1753466620918192 variants influence NSCLC risk in the Chinese population in a high altitude areaMiao LiRong ChenBaoyan JiChunmei FanGuanying WangChenli YueGuoquan JinBackground: 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.https://doi.org/10.1177/1753466620918192
collection DOAJ
language English
format Article
sources DOAJ
author Miao Li
Rong Chen
Baoyan Ji
Chunmei Fan
Guanying Wang
Chenli Yue
Guoquan Jin
spellingShingle Miao Li
Rong Chen
Baoyan Ji
Chunmei Fan
Guanying Wang
Chenli Yue
Guoquan Jin
variants influence NSCLC risk in the Chinese population in a high altitude area
Therapeutic Advances in Respiratory Disease
author_facet Miao Li
Rong Chen
Baoyan Ji
Chunmei Fan
Guanying Wang
Chenli Yue
Guoquan Jin
author_sort Miao Li
title variants influence NSCLC risk in the Chinese population in a high altitude area
title_short variants influence NSCLC risk in the Chinese population in a high altitude area
title_full variants influence NSCLC risk in the Chinese population in a high altitude area
title_fullStr variants influence NSCLC risk in the Chinese population in a high altitude area
title_full_unstemmed variants influence NSCLC risk in the Chinese population in a high altitude area
title_sort variants influence nsclc risk in the chinese population in a high altitude area
publisher SAGE Publishing
series Therapeutic Advances in Respiratory Disease
issn 1753-4666
publishDate 2020-05-01
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.
url https://doi.org/10.1177/1753466620918192
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