Oncotarget

Meta-Analysis:

Genetic polymorphisms in pre-miRNAs predict the survival of non-small-cell lung cancer in Chinese population: a cohort study and a meta-analysis

Lingzi Xia _, Zhihua Yin, Xuelian Li, Yangwu Ren, Haibo Zhang, Yuxia Zhao and Baosen Zhou

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Oncotarget. 2017; 8:77963-77974. https://doi.org/10.18632/oncotarget.20276

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Abstract

Lingzi Xia1,2, Zhihua Yin1,2, Xuelian Li1,2, Yangwu Ren1,2, Haibo Zhang3, Yuxia Zhao4 and Baosen Zhou1,2

1Department of Epidemiology, China Medical University, Shenyang, Liaoning, 110122, P.R. China

2Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Province Department of Education, 110122, P.R. China

3Department of Radiotherapy, Shenyang North Hospital, Shenyang, Liaoning, 110001, P.R. China

4Department of Radiotherapy Oncology, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, P.R. China

Correspondence to:

Baosen Zhou, email: [email protected]

Keywords: non-small cell lung cancer, prognosis, microRNA, single nucleotide polymorphism, meta-analysis

Received: March 10, 2017     Accepted: July 25, 2017     Published: August 16, 2017

ABSTRACT

Background: 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.

Materials and Methods: 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.

Results: 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.

Conclusions: 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.


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