Abstract
Background and Objective: Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this meta-analysis to quantitatively assess the association.Methods: Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs.Results: Seven case-control studies, including three SNPs (−509C/T, 869T/C, and 915G/C), were examined. Overall, this meta-analysis failed to identify a significant association between TGF-β1−509C/T, 915G/C polymorphism and HNC risk in any models. As for the 869T/C polymorphism, significant associations were observed in the allelic model (C vs. T: OR = 1.351, 95%CI: 1.030–1.772), the homozygote model (CC vs. TT: OR = 1.585, 95%CI: 1.026–2.449) and the dominant model (CT/CC vs. TT: OR = 1.398, 95%CI: 1.008–1.937). This polymorphism was also found in the Asian group as well (C vs. T: OR = 1.400, 95%CI: 1.003–1.956, CC vs. TT: OR = 1.814, 95%CI: 1.018–3.233).Conclusion: Meta-analysis failed to show a statistical association between TGF-β1−509C/T, 915G/C polymorphism, and HNC risk in any genetic models. However, it was found that TGF-β1 869C/T polymorphism may be involved in susceptibility to HNC, especially in Asian patients. However, given the limitations of this meta-analysis, further well-designed studies are required in the future.
Highlights
Head and neck cancer (HNC) is a type of cancer within the mouth, nose, sinuses, salivary glands, throat, and lymph nodes in the neck
The distribution of genotypes for the three single nucleotide polymorphism (SNP) in the controls of all studies was consistent with Hardy–Weinberg equilibrium (HWE), except for one study reporting on TGF-β1 869T/C (Carneiro et al, 2013)
This meta-analysis failed to identify a significant association between TGF-β1−509C/T polymorphism and HNC risk in terms of both allele frequency and genotype distribution (T vs. C: odds ratio (OR) = 0.954, 95%confidence interval (CI): 0.612–1.488, P = 0.837; TT vs. CC: OR = 0.882, 95%CI: 0.388–2.007, P = 0.765; TC vs. CC: OR = 0.864, 95%CI: 0.591–1.262, P = 0.449; TC/TT vs. CC: OR = 0.894, 95%CI: 0.539–1.483, P = 0.663; TT vs. TC/CC: OR = 0.930, 95%CI: 0.478–1.811, P = 0.832; Figure 2 and Table 2)
Summary
Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs
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