Long noncoding RNA(lncRNA) HOTAIR and MALAT1 are implicated in the development of multiple cancers. Genetic variants within HOTAIR and MALAT1 may affect the gene expression, thereby modifying genetic susceptibility to...Long noncoding RNA(lncRNA) HOTAIR and MALAT1 are implicated in the development of multiple cancers. Genetic variants within HOTAIR and MALAT1 may affect the gene expression, thereby modifying genetic susceptibility to cervical cancer. A case-control study was designed, including 1 486 cervical cancer patients and 1 536 healthy controls. Based on RegulomeDB database, 11 SNPs were selected and genotyped by using Sequenom’s Mass ARRAY. Univariate and multivariate logistic regression models were used to calculate the odds ratio(OR) and 95% confidence interval(CI). We found that the A allele of rs35643724 in HOTAIR was associated with increased risk of cervical cancer, while the C allele of rs1787666 in MALAT1 was associated with decreased risk. Compared to individuals with 0–1 unfavorable allele, those with 3–4 unfavorable alleles showed18% increased odds of having cervical cancer. Our findings suggest that HOTAIR rs35643724 and MALAT1 rs1787666 might represent potential biomarkers for cervical cancer susceptibility.展开更多
基金supported by National Natural Science Foundation of China(81502873)the Natural Science Foundation of Jiangsu Province(BK20150997)+3 种基金Priority Academic Program for the Development of Jiangsu Higher Education Institutions(Public Health and Preventive Medicine)Innovation Fund of State key Laboratory of Reproductive Medicine(SKLRMGC201802)Clinical Medicine Research Fund of the Chinese Medical Association(17020420711)Top-notch Academic Programs Project of Jiangsu Higher Education Institutions(PPZY2015A067)
文摘Long noncoding RNA(lncRNA) HOTAIR and MALAT1 are implicated in the development of multiple cancers. Genetic variants within HOTAIR and MALAT1 may affect the gene expression, thereby modifying genetic susceptibility to cervical cancer. A case-control study was designed, including 1 486 cervical cancer patients and 1 536 healthy controls. Based on RegulomeDB database, 11 SNPs were selected and genotyped by using Sequenom’s Mass ARRAY. Univariate and multivariate logistic regression models were used to calculate the odds ratio(OR) and 95% confidence interval(CI). We found that the A allele of rs35643724 in HOTAIR was associated with increased risk of cervical cancer, while the C allele of rs1787666 in MALAT1 was associated with decreased risk. Compared to individuals with 0–1 unfavorable allele, those with 3–4 unfavorable alleles showed18% increased odds of having cervical cancer. Our findings suggest that HOTAIR rs35643724 and MALAT1 rs1787666 might represent potential biomarkers for cervical cancer susceptibility.
