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)

Read more

Summary

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
Conclusion
INTRODUCTION
Literature Search
RESULTS
DISCUSSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call