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10.2147/OTT.S107595 http://scihub22266oqcxt.onion/10.2147/OTT.S107595 C5021063!5021063 !27660462     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27660462 &cmd=llinks): Failed to open stream: HTTP request failed! 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Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |pdf=|usr=}}{{27660462 }} gab.com Text Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis JO: Onco Targets Ther http://www.kidney.de/pget.php?&tw=1&pmid=27660462 #FOAvip BACKGROUND: Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more reliable conclusion about such associations. METHODS: A meta-analysis based on twelve studies was conducted, and 8,341 PCa cases and 7,734 controls were included in this analysis. All relevant studies published till February 1, 2016, were identified by searching the databases such as PubMed, EMBASE, and Web of Science. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) in order to assess the strength of such associations. Publication bias was evaluated using Begg's funnel plots and Egger's regression test. RESULTS: Several articles provided data only for particular genotypes; therefore, only dominant model analyses were carried out for all of these studies. Initially, the results from this analysis indicated that rs2854744 was not associated with PCa susceptibility (OR=1.12, 95% CI=0.996-1.2). However, after excluding one study due to its heterogeneity and publication bias, a significant relationship was detected between rs2854744 and PCa risk (OR=1.10, 95% CI=1.03-1.17). When stratified by genotyping method, significant results were detected only in the Sequenom method group (OR=1.13, 95% CI=1.04-1.22). Moreover, the results from a subgroup analysis that was conducted by using source of controls were significant only in the population-based control group. CONCLUSION: This meta-analysis suggested that the insulin-like growth factor-binding protein-3 polymorphism-202 A/C was associated with PCa susceptibility. Twit Text FOAVip Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis ????Onco Targets Ther http://www.kidney.de/pget.php?&tw=1&pmid=27660462 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27660462 #FOAvip English Wikipedia <ref>{{Cite pmid|27660462 }}</ref> Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis #MMPMID27660462 Qin Z ; Li X ; Tang J ; Jiang X ; Yu Y ; Wang C ; Xu W ; Hua Y ; Yu B ; Zhang W Onco Targets Ther 2016[]; 9 (ä): 5451-9 PMID27660462 show ga BACKGROUND: Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more reliable conclusion about such associations. METHODS: A meta-analysis based on twelve studies was conducted, and 8,341 PCa cases and 7,734 controls were included in this analysis. All relevant studies published till February 1, 2016, were identified by searching the databases such as PubMed, EMBASE, and Web of Science. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) in order to assess the strength of such associations. Publication bias was evaluated using Begg's funnel plots and Egger's regression test. RESULTS: Several articles provided data only for particular genotypes; therefore, only dominant model analyses were carried out for all of these studies. Initially, the results from this analysis indicated that rs2854744 was not associated with PCa susceptibility (OR=1.12, 95% CI=0.996-1.2). However, after excluding one study due to its heterogeneity and publication bias, a significant relationship was detected between rs2854744 and PCa risk (OR=1.10, 95% CI=1.03-1.17). When stratified by genotyping method, significant results were detected only in the Sequenom method group (OR=1.13, 95% CI=1.04-1.22). Moreover, the results from a subgroup analysis that was conducted by using source of controls were significant only in the population-based control group. CONCLUSION: This meta-analysis suggested that the insulin-like growth factor-binding protein-3 polymorphism-202 A/C was associated with PCa susceptibility. äAssociation between insulin-like growth factor-binding protein-3 polym(epmc).pdf DeepDyve Pubget Overpricing