Zhang Chan, Su Pincan, Chen Wanlu, Li Qi, Dai Run, Cheng YuJing, Yang Jiangcun
Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan 650032, People's Republic of China.
Laboratory of Blood Transfusion, Yunnan Kunming Blood Center, Kunming, Yunnan 650106, People's Republic of China.
Cancer Manag Res. 2019 Jun 11;11:5393-5401. doi: 10.2147/CMAR.S202839. eCollection 2019.
axis participates in the initiation and progression of lung cancer (LC). This study aimed to explore the potential influence of polymorphisms on LC risk.
In total, 1,010 participants (507 LC patients and 503 healthy controls) were enrolled. Five single-nucleotide polymorphisms (SNPs) in and one SNP in were genotyped in included samples with Agena MassARRAY system. OR and 95% CIs were computed by logistic regression analysis after adjusting for age and gender. Stratified analyses with demographic and clinical characteristics were also performed. Finally, linkage disequilibrium (LD) analysis was conducted with the PLINK version 1.07 software .
rs10053847 variant was related to a decreased LC risk under the allele gene (OR =0.78, =0.043) and additive model (OR =0.77, =0.042). The results of stratified analysis indicated that this SNP was associated with a lower LC risk among nonsmokers (AA/GG: OR =0.09, =0.033; AA/AG+GG: OR =0.10 =0.037) or nondrinkers (AA/GG: OR =0.07, =0.047; AA/AG+GG: OR =0.18 =0.049). Moreover, carriers of rs10213865-C allele had an increased lung adenocarcinoma risk (CA/AA: OR =1.60, =0.011; CC+CA/AA: OR =1.62, =0.007; CA/CA/AA: OR =1.50, =0.007). Additionally, AGAA haplotype (rs10213865, rs969129, rs118137916 and rs10053847) increased LC risk (OR =1.30, =0.041).
rs10053847 was correlated with a decreased LC risk, while rs10213865 was correlated with an elevated lung adenocarcinoma risk, implying these two SNPs might play essential roles in LC risk evaluation.
轴蛋白参与肺癌(LC)的发生和发展。本研究旨在探讨基因多态性对肺癌风险的潜在影响。
共纳入1010名参与者(507例肺癌患者和503名健康对照)。采用Agena MassARRAY系统对纳入样本中的轴蛋白相关的5个单核苷酸多态性(SNP)和另一个基因中的1个SNP进行基因分型。在调整年龄和性别后,通过逻辑回归分析计算比值比(OR)和95%可信区间(CI)。还进行了人口统计学和临床特征的分层分析。最后,使用PLINK 1.07软件进行连锁不平衡(LD)分析。
在等位基因模型下,rs10053847变异与肺癌风险降低相关(OR =0.78,P =0.043),在加性模型下(OR =0.77,P =0.042)也是如此。分层分析结果表明,该SNP在非吸烟者(AA/GG:OR =0.09,P =0.033;AA/AG + GG:OR =0.10,P =0.037)或不饮酒者(AA/GG:OR =0.07,P =0.047;AA/AG + GG:OR =0.18,P =0.049)中与较低的肺癌风险相关。此外,rs10213865 - C等位基因携带者的肺腺癌风险增加(CA/AA:OR =1.60,P =0.011;CC + CA/AA:OR =1.62,P =0.007;CA/CA/AA:OR =1.50,P =0.007)。此外,AGAA单倍型(rs10213865、rs969129、rs118137916和rs10053847)增加肺癌风险(OR =1.30,P =0.041)。
rs10053847与肺癌风险降低相关,而rs10213865与肺腺癌风险升高相关,这意味着这两个SNP可能在肺癌风险评估中起重要作用。