scholarly journals Association between germline homeobox B13 (HOXB13) G84E allele and prostate cancer susceptibility: a meta-analysis and trial sequential analysis

Oncotarget ◽  
2016 ◽  
Vol 7 (41) ◽  
pp. 67101-67110 ◽  
Author(s):  
Jianzhong Zhang ◽  
Li Xiao ◽  
Zhiqiang Qin ◽  
Aiming Xu ◽  
Kai Zhao ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Sequential Analysis ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Trial Sequential Analysis ◽  
Prostate Cancer Susceptibility

scholarly journals Meta-analysis and trial sequential analysis of LncRNA H19 polymorphic variants on susceptibility to cancer

2020 ◽  
Author(s):  
Kunpeng Wang ◽  
Zheng Zhu ◽  
Yiqiu Wang ◽  
Dayuan Zong ◽  
Peng Xue ◽  
...  
Keyword(s):  
Subgroup Analysis ◽  
Sequential Analysis ◽  
Cancer Susceptibility ◽  
Human Cancer ◽  
Meta Analysis ◽  
Population Based ◽  
Trial Sequential Analysis ◽  
Control Group ◽  
Cancer Risks ◽  
Polymorphic Variants

Abstract Background: Although myriad researches upon the associations between LncRNA H19 polymorphic variants (rs2839698 G﹥A, rs3024270 C﹥G, rs2107425 C﹥T, rs2735971 A﹥G and rs217727 G﹥A) and the susceptibility to cancer have been conducted, these results remained contradictory and perplexing. Basing on that, a systematic review and updated meta-analysis was conducted to anticipate a fairly precise assessment about these associations. Methods: We retrieved the electronic databases EMBASE, PubMed and Web of Science for valuable academic studies before October 1st, 2019. Ultimately, 24 of which were encompassed after screening, and the available data was extracted and integrated. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) was adopted to evaluate the strength of these associations. For multi-level investigation, subgroup analysis derived from source of controls together with genotypic method was preformed. Eventually, 24 articles altogether embodying 52 studies were included. Results: The results illuminated that LncRNA H19 SNPs mentioned above were all irrelevant to cancer susceptibility. Nevertheless, crucial results were found concentrated in population-based control group when subgroup analysis by source of controls were performed in H19 mutation rs2839698 and rs2735971. Meanwhile, in the stratification analysis by genotypic method, apparent cancer risks were discovered by TaqMan method in H19 mutation rs2107425 and rs3024270. Then, trial sequential analysis (TSA) demonstrated that the results about such associations were firm evidence of effect, except rs2735971 polymorphism. Conclusion: Therefore, this meta-analysis indicated that LncRNA H19 SNPs were not associated with the susceptibility to human cancer. However, after the stratification analysis, inconsistent results still existed in different genotypic method and source of control. Thus, more high-quality studies on cancer patients of different factors were needed to confirm these findings.

scholarly journals Lack of association between NAT2 polymorphism and prostate cancer risk: a meta-analysis and trial sequential analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (34) ◽  
pp. 57440-57450 ◽  
Author(s):  
Feng Wang ◽  
Zhiqiang Qin ◽  
Shuhui Si ◽  
Jingyuan Tang ◽  
Lingyan Xu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Prostate Cancer Risk ◽  
Trial Sequential Analysis ◽  
Nat2 Polymorphism

scholarly journals UGT2B17 Polymorphism and Risk of Prostate Cancer: A Meta-Analysis

ISRN Oncology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Marce-Amara Kpoghomou ◽  
Joella Eldie Soatiana ◽  
Fatch W. Kalembo ◽  
Ghose Bishwajit ◽  
Wei Sheng
Keyword(s):  
Prostate Cancer ◽  
Outcome Measure ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Inclusion Criteria ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Prostate Cancer Susceptibility ◽  
Increased Risk ◽  
Subgroup Analyses

Objective. Recent studies on the association between uridine diphosphosglucuronosyltransferases (UGTs) 2B17 polymorphism and risk of prostate cancer (PCa) showed inconclusive results. To clarify this possible association, we conducted a meta-analysis of published studies. Methods. We searched the published literature from PubMed, Embase, Google Scholar, and China National Knowledge Infrastructure (CNKI). According to our inclusion criteria, studies that observed the association between UGT2B17 polymorphism and PCa risk were included. The principal outcome measure was the adjusted odds ratio (OR) with 95% confidence interval (CI) for the risk of PCa associated with UGT2B17 polymorphism. Results. A total of 6 studies with 7,029 subjects (3,839 cases and 3,190 controls) were eligible for inclusion in the meta-analysis. Overall, there was a significant association between UGT2B17 polymorphism and increased risk of prostate cancer (, 95% CI 1.14–2.64, ). Similar results were found in the subgroup analyses by ethnicity and types of controls. Conclusion. This meta-analysis demonstrates that UGT2B17 polymorphism is associated with prostate cancer susceptibility, and it contributes to the increased risk of prostate cancer.

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