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The association of polymorphisms in miRNAs with nonsmall cell lung cancer in a Han Chinese population

Authors Li C, Zhang Y, Li Y, Ma Q, Liu S, Yao Y, Tan F, Shi L, Yao Y

Received 13 October 2017

Accepted for publication 12 February 2018

Published 10 April 2018 Volume 2018:10 Pages 697—704


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Antonella D'Anneo

Chuanyin Li,1* Yu Zhang,1* Yingfu Li,2 Qianli Ma,3 Shuyuan Liu,1 Yueting Yao,1 Fang Tan,2 Li Shi,1 Yufeng Yao1

1Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, People’s Republic of China; 2Department of Geriatrics, The No. 1 Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China; 3Department of Thoracic Surgery, The No. 3 Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China

*These authors contributed equally to this work

Background: MicroRNAs (miRNAs) have been demonstrated to play important roles in cancer progression. Recently, studies have revealed that polymorphisms in miRNAs might be associated with cancer susceptibility.
Materials and methods: In the current study, we investigated the associations of single nucleotide polymorphisms (SNPs) in miRNAs (rs11134527 in pri-miR-218-2, rs74693964 in pri-miR-145, rs6062251 in pri-miR-133a-2, and rs4705343 in pri-miR-143) with nonsmall cell lung cancer (NSCLC) in a Han population from Yunnan Province, Southwest China using a binary logistic regression analysis. A total of 452 patients with NSCLC and 452 healthy individuals were recruited for polymorphism genotyping using the TaqMan assay.
Results: Our results showed that the allelic frequencies of rs11134527 and rs4705343 were significantly different between the NSCLC and control groups (P=0.025 and 0.029). Additionally, the genotypic frequencies of rs11134527 were significantly different between the NSCLC and control groups (P=0.045). The mode of inheritance analysis showed that genotypes A/G+G/G of rs11134527 were associated with a lower risk of NSCLC under the dominant model (OR=0.69; 95% CI: 0.51–0.94). In addition, genotypes 2C/C+C/T of rs4705343 were associated with an increased risk of NSCLC under the log-additive model (OR=1.25; 95% CI: 1.01–1.53). However, there was no significant difference in the other SNPs between the NSCLC and control groups (P>0.05). Moreover, the association analysis of these SNPs between adenocarcinoma and squamous cell carcinoma (SCC) showed that allele A of rs11134527 was associated with SCC (OR=0.65; 95% CI: 0.48–0.88).
Conclusion: Our results indicated that the A allele of rs11134527 might be a risk factor (OR=1.24; 95% CI: 1.03–1.50) and that the T allele of rs4705343 might be a protective factor (OR=0.80; 95% CI: 0.66–0.98) for NSCLC in a Han Chinese population.

Keywords: microRNA, single nucleotide polymorphism, lung cancer, Chinese population, genetic variation

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