The relationship between long non-coding gene polymorphisms and cervical cancer.

BACKGROUND

was reported to be a hotspot gene in cervical cancer. The relationship between genetic polymorphisms and cervical cancer has not been reported. Genetic factors influence the occurrence of cervical cancer. Thus, we explored the correlation between polymorphisms and cervical cancer.

METHODS

A total of 973 participants within 494 cervical cancer cases and 479 healthy controls were recruited. Five single nucleotide polymorphisms (SNPs) in the gene were genotyped using the Agena MassARRAY platform. Chi-squared test, logistic regression analysis, odds ratio (OR), multifactor dimensionality reduction (MDR), and 95% confidence interval (95%CI) were used for data analysis.

RESULTS

In the overall analysis, rs16902094 ( = .014, OR = 1.86, 95% CI = 1.12-3.08) and rs16902104 ( = .014, OR = 1.86, 95% CI = 1.12-3.09) had the risk-increasing correlation with the occurrence of cervical cancer. Stratification analysis showed that rs16902094 and rs16902104 were still associated with cervical cancer risk in the subgroups with age > 51, BMI < 24 kg/m, smokers, and patients with cervical squamous cell carcinoma. MDR analysis displayed that rs16902094 (.49%) and rs16902104 (.52%) were the main influential attribution factor for cervical cancer risk.

CONCLUSION

Our finding firstly determined that two SNPs (rs16902094, rs16902104) were associated with an increased risk of cervical cancer, which adds to our knowledge regarding the effect of on cervical carcinogenesis.