Association of IL10-1082 and IFN-γ+874 Polymorphisms with Cervical Cancer among Tunisian Women

Abstract

Objective. The aim of this study was to investigate the role of IL10-1082 and IFN-γ+874 polymorphisms in susceptibility to cervical cancer among Tunisian women. Study Design. The IL10-1082 and IFN-γ+874 polymorphisms were analyzed by ARMS-PCR in 160 healthy women and 122 with cervical cancer. The search for associations between those polymorphisms and cervical cancer was based on the χ2 test or Fisher's exact test. Results. The IFN-γ+874 polymorphism showed significant increased frequency of T allele in healthy controls compared with patients (OR = 0.71, 95% CI = 0.50–1.01, and P=0.0459) and individuals with homozygote IFN-γ+874 T/T genotype were at lesser risk of cervical cancer (OR = 0.53, 95% CI = 0.31–0.92, and P=0.015). However, carriers of allele have higher risk for developing cervical cancer (OR = 1.88, 95% CI = 1.09–3.24, and P=0.015). At the polymorphic nucleotide in position 1082 of the IL10 promoter, no differences were found between patients and controls subjects. Conclusion. Our study shows that the T/T genotype polymorphism of IFN-γ+874 T>A is a protective factor for cervical cancer among Tunisian women.

Note of clarification of data in the paper entitled “Interferon gamma +874 T/A polymorphism increases the risk of cervical cancer: evidence from a meta-analysis”

“…Third, two eligible studies about IFNG +874 T/A polymorphism and cervical cancer risk have been published after 2014. 4,5 Therefore, the conclusions induced from Sun et al's data are not entirely reliable. It is necessitated to summarize the association between IFNG +874 T/A polymorphism and cervical cancer/ CIN risk more comprehensively and objectively.…”

“…We reassess the association between IFNG +874 T/A polymorphism and cervical cancer/CIN risk by performing an updated meta-analysis on the basis of a total of 14 studies containing 3068 cases and 2755 controls. [2][3][4][5][6][7][8][9][10][11][12][13] The Cochrane Q statistics test was used to examine the heterogeneity among studies. A fixed-effect model or a random-effect model was adopted to estimate the combined effects according to the result of a heterogeneity test.…”