Abstract
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.
Highlights
Cervical cancer (CC) is one of the most common malignancies among women worldwide, in developing countries [1].CC accounts for 9% of the total new cancer cases and 8% of the total cancer deaths among women [2]
All of the tested single nucleotide polymorphism (SNP) were in agreement with the Hardy– Weinberg equilibrium (HWE) in the control population of this study (p > 0.05) except for rs8756 (p = 0.040) and rs11175982 (p = 0.024); they were excluded from the analysis
Comparing the differences in frequency distributions of alleles between cases and controls by χ2 test, we found there is a correlation between two loci and increased CC development under allele model
Summary
Cervical cancer (CC) is one of the most common malignancies among women worldwide, in developing countries [1].CC accounts for 9% of the total new cancer cases and 8% of the total cancer deaths among women [2]. MicroRNAs (miRNAs) are small (18–25 nucleotides) non-coding RNAs that modulate post-transcriptional mRNA expression. Since miRNAs regulate expression of genes involved in cell proliferation, differentiation and apoptosis, they can function as potential oncogenes or tumor suppressors [7,8,9,10,11]. We have previously found that chromosome mutations and the change of single nucleotide polymorphisms (SNPs) are important factors that induce malignant transformation of cervical epithelial cells [12]
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