Research Papers:

Single nucleotide polymorphisms in microRNA genes are associated with cervical cancer susceptibility in a population from Xinjiang Uygur

Jie Yang, Zegao Zhang, Wen Guo, Yuhua Ma, Raila Muhammed Emin, Karima Abudubari, Glmira Hayrat, Hasiyet Wali, Xiaoli Qi, Chunhua Liu, Miaomiao Ma and Pulat Nurbek _

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Oncotarget. 2016; 7:71447-71454. https://doi.org/10.18632/oncotarget.12212

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Jie Yang1, Zegao Zhang1, Wen Guo2, Yuhua Ma1, Raila Muhammed Emin1, Karima Abudubari1, Glmira Hayrat1, Hasiyet Wali1, Xiaoli Qi1, Chunhua Liu1, Miaomiao Ma1, Pulat Nurbek1

1Radiotherapy Second Department, People's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China

2Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, China

Correspondence to:

Pulat Nurbek, email: [email protected]

Keywords: association study, cervical cancer, microRNA gene, single nucleotide polymorphisms (SNPs)

Received: June 13, 2016     Accepted: August 15, 2016     Published: September 23, 2016


The goal of this study was to explore the correlation between single nucleotide polymorphisms (SNPs) and susceptibility to cervical cancer (CC) in a population from Xinjiang Uygur. Participating were 247 patients with CC and 285 healthy women. Fourteen SNPs in nine miRNA genes were selected. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used to assess the correlation of SNPs with CC. The minor allele “C” of rs300574 in SPRY1 was associated with an increased risk of CC based on analysis of the allele, codominant, recessive and log-additive models, but an opposite result was found with the over-dominant model. The minor allele “C” of rs1042725 in HMGA2 was associated with an increased risk of CC in the allele, dominant and log-additive models. In clinical stage III/IVCC patients, rs4728 in SPRY2 was associated with decreased risk. Finally, rs3744935 in BCL2 was associated with CC in the allele and codominant models. In sum, we have detected associations between four SNPs, rs300574 (SPRY1), rs3744935 (BCL2), rs1042725 (HMGA2), and rs4728 (SPRY2), and CC risk in women from Xinjiang Uygur.

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