Research Article

Genetic Polymorphism of miR-218-2 (rs11134527) in Cervical Cancer: A Case-Control Study on the Bangladeshi Women

Author(s): Farhana Nazneen, Md. Shalahuddin Millat, Md. Abdul Barek, Md. Abdul Aziz, Md. Sarowar Uddin, Sarah Jafrin, Tutun Das Aka and Md. Safiqul Islam*

Volume 10, Issue 3, 2021

Page: [219 - 224] Pages: 6

DOI: 10.2174/2211536610666210715102554

Price: $65

Abstract

Background: The prevalence of Cervical Cancer (CC) is disproportionately higher in developing countries. It is the second most frequent cancer type among Bangladeshi women and the major cause of morbidity and mortality. However, no previous data reported the association of miR-218-2 gene polymorphisms in Bangladeshi cervical cancer patients.

Aim: This case-control study was designed to find the link between the rs11134527 polymorphism in miR-218-2 and CC.

Methods: A total of 488 subjects were recruited, comprising 256 cervical cancer patients and 232 healthy females. Genotyping was conducted with the tetra-primer ARMS-PCR technique to detect the association.

Results: The results of genotype data showed that rs11134527 was in the Hardy-Weinberg equilibrium in both CC cases and controls (P >0.05). Overall, the polymorphism was found to be significantly associated with an increased risk of cervical cancer with AG genotype (AG vs. GG: OR = 2.26, 95% Cl = 1.40-3.66, P = 0.0008), AA genotype (AA vs. GG: OR = 3.64, 95% Cl = 2.17-6.10, P <0.0001), dominant model (AG+AA vs. GG: OR = 2.75, 95% Cl = 1.75-4.31, P <0.0001), recessive model (AA vs. GG+AG: OR = 2.08, 95% Cl = 1.41-3.08, P = 0.0002), and A allele (A vs. G: OR = 1.94, 95% Cl = 1.51-2.51, P <0.0001). All of these correlations remained statistically significant after performing Bonferroni correction (P <0.008).

Conclusion: Our study suggests that the rs11134527 polymorphism in the miR-218-2 gene contributes to the susceptibility of CC in Bangladeshi women

Keywords: Cervical cancer, miR-218-2, polymorphism, risk, association, tetra-primer ARMS-PCR.

« Previous
Graphical Abstract


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy