Xia Lingzi, Yin Zhihua, Li Xuelian, Ren Yangwu, Zhang Haibo, Zhao Yuxia, Zhou Baosen
Department of Epidemiology, China Medical University, Shenyang, Liaoning, 110122, P.R. China.
Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Province Department of Education, 110122, P.R. China.
Oncotarget. 2017 Aug 16;8(44):77963-77974. doi: 10.18632/oncotarget.20276. eCollection 2017 Sep 29.
To explore the association of genetic polymorphisms in pre-miRNA 30c-1 rs928508 and pre-miRNA 27a rs895819 with non-small-cell lung cancer prognosis.
480 patients from five hospitals were enrolled in this prospective cohort study. They were followed up for five years. The association between genotypes and overall survival was assessed by Cox proportional hazards regression models. A meta-analysis was conducted to provide evidence for the effect of microRNA 27a rs895819 on cancer survival.
G-allele containing genotypes of microRNA 30c-1 polymorphisms and C-allele containing genotypes of microRNA 27a were significantly associated with poorer overall survival. Multivariate Cox regression models indicated that these genetic polymorhpisms were independently predictive factors of poorer overall survival. In stratified analysis, the effect was observed in many strata. The significant joint effect was also observed in our study. Patients with G allele of microRNA 30c-1 rs928508 and C allele of microRNA 27a rs895819 had the poorer overall survival than patients with C allele of rs928508 and T allele of rs895819. The effect of the microRNA 27a rs895819 on non-small cell lung cancer overall survival was supported by the meta-analysis results.
The two single nucleotide polymorphisms in microRNA 30c-1 and microRNA 27a can predict the outcome of non-small cell lung cancer patients and they may decrease the sensitivity to anti-cancer drugs.
探讨前体微小RNA 30c-1 rs928508和前体微小RNA 27a rs895819中的基因多态性与非小细胞肺癌预后的关联。
本前瞻性队列研究纳入了来自五家医院的480例患者。对他们进行了为期五年的随访。通过Cox比例风险回归模型评估基因型与总生存期之间的关联。进行了一项荟萃分析，以提供微小RNA 27a rs895819对癌症生存影响的证据。
微小RNA 30c-1多态性中含G等位基因的基因型和微小RNA 27a中含C等位基因的基因型与较差的总生存期显著相关。多变量Cox回归模型表明，这些基因多态性是较差总生存期的独立预测因素。在分层分析中，在多个分层中均观察到了这种效应。在我们的研究中也观察到了显著的联合效应。微小RNA 30c-1 rs928508的G等位基因和微小RNA 27a rs895819的C等位基因的患者总生存期比rs928508的C等位基因和rs895819的T等位基因的患者更差。荟萃分析结果支持了微小RNA 27a rs895819对非小细胞肺癌总生存期的影响。
微小RNA 30c-1和微小RNA 27a中的两个单核苷酸多态性可以预测非小细胞肺癌患者的预后，并且它们可能会降低对抗癌药物的敏感性。
