Xu Qiuping, Lin Danhua, Li Xu, Xiao Rendong, Liu Zhiqiang, Xiong Weimin, Cai Lin, He Fei
Medical Department, The Affiliated Hospital of Putian University, Putian, Fujian, People's Republic of China.
Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Cancer Manag Res. 2019 Jul 24;11:6895-6905. doi: 10.2147/CMAR.S197747. eCollection 2019.
In this study, we analyzed the association between genetic variants of genes in the NOTCH signaling pathway and the prognosis of non-small-cell lung cancer (NSCLC) in the Chinese population. We also explored the interaction between genetic and epidemiological factors for the test group.
We performed genotyping of 987 NSCLC patients. Then, we used Cox proportional hazard models to analyze the associations between single-nucleotide polymorphisms (SNPs) and the prognosis of NSCLC. We employed Stata software to test the heterogeneity of associations between subgroups, and we analyzed the additive and multiplicative interactions between SNPs and epidemiologic factors.
This work revealed the important prognostic and predictive value of rs915894 in the gene, which may be regarded as a promising prognosis biomarker of NSCLC. Cox regression analysis indicated that the C allele of rs915894 is associated with longer survival and decreased risk of death in NSCLC (codominant model: adjusted HR =0.83, 95% CI =0.70-0.99; dominant model: adjusted HR =0.83, 95% CI =0.71-0.98). Additional stepwise regression analysis suggested that this SNP is an independently favorable factor for the prognosis of NSCLC (dominant model: adjusted HR =0.85, 95% CI =0.72-0.99). This protective effect is more pronounced for patients who are not smokers, have a history of other lung diseases, or have a family history of cancer. We also detected statistically significant additive and multiplicative interactions between rs915894 and smoking, rs915894 and history of lung diseases, and rs915894 and family history of cancer, which all affect NSCLC survival.
This study demonstrated that rs915894 in may be a genetic marker for NSCLC prognosis in the Chinese population and that rs915894 may have an interactive relationship with epidemiologic factors.
在本研究中,我们分析了NOTCH信号通路中基因的遗传变异与中国人群非小细胞肺癌(NSCLC)预后之间的关联。我们还探讨了试验组中遗传因素与流行病学因素之间的相互作用。
我们对987例NSCLC患者进行了基因分型。然后,我们使用Cox比例风险模型分析单核苷酸多态性(SNP)与NSCLC预后之间的关联。我们使用Stata软件测试亚组间关联的异质性,并分析SNP与流行病学因素之间的相加和相乘相互作用。
这项研究揭示了基因中rs915894的重要预后和预测价值,它可能被视为NSCLC有前景的预后生物标志物。Cox回归分析表明,rs915894的C等位基因与NSCLC患者更长的生存期和更低的死亡风险相关(共显性模型:调整后HR = 0.83,95%CI = 0.70 - 0.99;显性模型:调整后HR = 0.83,95%CI = 0.71 - 0.98)。进一步的逐步回归分析表明,该SNP是NSCLC预后的独立有利因素(显性模型:调整后HR = 0.85,95%CI = 0.72 - 0.99)。对于不吸烟、有其他肺部疾病史或有癌症家族史的患者,这种保护作用更为明显。我们还检测到rs915894与吸烟、rs915894与肺部疾病史以及rs915894与癌症家族史之间存在统计学上显著的相加和相乘相互作用,这些都影响NSCLC的生存。
本研究表明,基因中的rs915894可能是中国人群NSCLC预后的遗传标志物,并且rs915894可能与流行病学因素存在相互作用关系。