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Role of TGF-β1 (−509C>T) Promoter Polymorphism in Susceptibility to Cervical Cancer

Authors: Balraj Mittal; Meenu Jain; Hariom Singh;

Role of TGF-β1 (−509C>T) Promoter Polymorphism in Susceptibility to Cervical Cancer

Abstract

Transforming growth factor-beta (TGF-beta) family members are multifunctional cytokines that play a key role in cellular growth, proliferation, and differentiation. The aim of study was to evaluate the association of TGF-beta1 -509 C>T gene polymorphism with risk of cervical cancer. The study was carried out in 150 histopathology confirmed patients with cervical cancer and 162 cervical-cytology negative females. Polymorphisms for TGF-beta1 -509C>T gene was genotyped by polymerase chain reaction and restriction enzyme digestion. Frequencies of individuals with -509TT genotype and T allele of TGF-beta1 gene polymorphisms did not differ significantly in patients with cervical cancer and controls (p = 0.328, OR = 1.37 and p = 0.605, OR = 1.09). Cervical cancer patients with -509TT had marginal low risk for stage I (p = 0.04, OR = 0.95, 95% CI = 0.91-0.99) but -509TT genotype of TGF-beta1 was associated with increased risk of stage II of cancer (p = 0.07, OR = 3.13, 95% CI = 0.87-11.14). In gene-environment interaction, carriers of TGF-beta1 -509TT genotype with tobacco usage were at higher risk of cervical cancer (OR = 3.67, 95% CI = 0.38-35.1). In conclusion, our data suggest that TGF-beta1 -509T allele confers marginal protection for early stage 1B but risk for stage II of cervical cancer.

Keywords

Adult, Heterozygote, Tobacco, Smokeless, Genotype, Homozygote, Smoking, India, Middle Aged, Deoxycytidine, Polymorphism, Single Nucleotide, Transforming Growth Factor beta1, Gene Frequency, Risk Factors, Odds Ratio, Humans, Female, Genetic Predisposition to Disease, Promoter Regions, Genetic, Neoplasm Staging, Thymidine

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
gold
Related to Research communities
Cancer Research