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Polymorphism in IGFBP3 gene is associated with prostate cancer risk: an updated meta-analysis.

Qie Y, Nian X, Liu X, Hu H, Zhang C, Xie L, Han R, Wu C, Xu Y - Onco Targets Ther (2016)

Bottom Line: Further stratification analysis revealed that the association between -202A/C polymorphism and PCa risk among Caucasians, but not in other ethnicities, was statistically significant (recessive model, OR =1.10, 95% CI: 1.02-1.19).In addition, the IGFBP3-202A/C polymorphism was associated with PCa risk in both population-based and hospital-based studies in homozygote comparison, recessive model, and allele model.Our meta-analysis indicates that the IGFBP3-202A/C polymorphism is associated with the risk of PCa, particularly in Caucasians, with the C allele being the risk allele for PCa.

View Article: PubMed Central - PubMed

Affiliation: Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin Institute of Urology.

ABSTRACT

Objective: Insulin-like growth factor-binding protein-3 (IGFBP3) is the major protein that binds with insulin-like growth factor-1 (IGF-1) and is considered to be involved in the development and progression of various cancers. We aimed to examine the association between prostate cancer (PCa) and the IGFBP3 gene-202A/C polymorphism.

Methods: A comprehensive search within PubMed, EMBASE, and Cochrane Library was conducted to identify all case-control studies up to October 30, 2015, for a meta-analysis. Pooled odds ratios (ORs) and the 95% confidence intervals (CIs) were calculated using the fixed or random effects model.

Results: Eighteen studies including 10,538 cases and 10,078 controls were identified. Overall, the CC genotype of IGFBP3-202A/C polymorphism was associated with increased risk of PCa in homozygote comparison (CC vs AA - OR =1.16, 95% CI: 1.08-1.25) and in recessive model (CC vs AA+AC - OR =1.11, 95% CI: 1.04-1.17). In dominant model, the CC/AC genotypes also implicated an increased risk of PCa (CC+AC vs AA - OR =1.11, 95% CI: 1.05-1.19). The C allele of IGFBP3-202A/C polymorphism was the risk allele for PCa relative to the A allele (OR =1.09, 95% CI: 1.05-1.14). Further stratification analysis revealed that the association between -202A/C polymorphism and PCa risk among Caucasians, but not in other ethnicities, was statistically significant (recessive model, OR =1.10, 95% CI: 1.02-1.19). In addition, the IGFBP3-202A/C polymorphism was associated with PCa risk in both population-based and hospital-based studies in homozygote comparison, recessive model, and allele model.

Conclusion: Our meta-analysis indicates that the IGFBP3-202A/C polymorphism is associated with the risk of PCa, particularly in Caucasians, with the C allele being the risk allele for PCa.

No MeSH data available.


Related in: MedlinePlus

Publication bias represented by Begg’s funnel plot for the association between the IGFBP3-202A/C polymorphism and risk of prostate cancer under allele model (A vs C alleles).Note: Each point represents a separate study for the indicated association.Abbreviations: IGFBP3, insulin-like growth factor-binding protein-3; OR, odds ratio; SE, standard error.
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f7-ott-9-4163: Publication bias represented by Begg’s funnel plot for the association between the IGFBP3-202A/C polymorphism and risk of prostate cancer under allele model (A vs C alleles).Note: Each point represents a separate study for the indicated association.Abbreviations: IGFBP3, insulin-like growth factor-binding protein-3; OR, odds ratio; SE, standard error.

Mentions: Begg’s funnel plot and Egger’s linear regression tests were performed to assess the possibility of potential publication bias. For all genetic models, the shape of the funnel plots was symmetrical, and Egger’s test showed no evidence of significant publication bias (P>0.05), suggesting that there was no apparent publication bias in this meta-analysis (Figure 7).


Polymorphism in IGFBP3 gene is associated with prostate cancer risk: an updated meta-analysis.

Qie Y, Nian X, Liu X, Hu H, Zhang C, Xie L, Han R, Wu C, Xu Y - Onco Targets Ther (2016)

Publication bias represented by Begg’s funnel plot for the association between the IGFBP3-202A/C polymorphism and risk of prostate cancer under allele model (A vs C alleles).Note: Each point represents a separate study for the indicated association.Abbreviations: IGFBP3, insulin-like growth factor-binding protein-3; OR, odds ratio; SE, standard error.
© Copyright Policy
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4940022&req=5

f7-ott-9-4163: Publication bias represented by Begg’s funnel plot for the association between the IGFBP3-202A/C polymorphism and risk of prostate cancer under allele model (A vs C alleles).Note: Each point represents a separate study for the indicated association.Abbreviations: IGFBP3, insulin-like growth factor-binding protein-3; OR, odds ratio; SE, standard error.
Mentions: Begg’s funnel plot and Egger’s linear regression tests were performed to assess the possibility of potential publication bias. For all genetic models, the shape of the funnel plots was symmetrical, and Egger’s test showed no evidence of significant publication bias (P>0.05), suggesting that there was no apparent publication bias in this meta-analysis (Figure 7).

Bottom Line: Further stratification analysis revealed that the association between -202A/C polymorphism and PCa risk among Caucasians, but not in other ethnicities, was statistically significant (recessive model, OR =1.10, 95% CI: 1.02-1.19).In addition, the IGFBP3-202A/C polymorphism was associated with PCa risk in both population-based and hospital-based studies in homozygote comparison, recessive model, and allele model.Our meta-analysis indicates that the IGFBP3-202A/C polymorphism is associated with the risk of PCa, particularly in Caucasians, with the C allele being the risk allele for PCa.

View Article: PubMed Central - PubMed

Affiliation: Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin Institute of Urology.

ABSTRACT

Objective: Insulin-like growth factor-binding protein-3 (IGFBP3) is the major protein that binds with insulin-like growth factor-1 (IGF-1) and is considered to be involved in the development and progression of various cancers. We aimed to examine the association between prostate cancer (PCa) and the IGFBP3 gene-202A/C polymorphism.

Methods: A comprehensive search within PubMed, EMBASE, and Cochrane Library was conducted to identify all case-control studies up to October 30, 2015, for a meta-analysis. Pooled odds ratios (ORs) and the 95% confidence intervals (CIs) were calculated using the fixed or random effects model.

Results: Eighteen studies including 10,538 cases and 10,078 controls were identified. Overall, the CC genotype of IGFBP3-202A/C polymorphism was associated with increased risk of PCa in homozygote comparison (CC vs AA - OR =1.16, 95% CI: 1.08-1.25) and in recessive model (CC vs AA+AC - OR =1.11, 95% CI: 1.04-1.17). In dominant model, the CC/AC genotypes also implicated an increased risk of PCa (CC+AC vs AA - OR =1.11, 95% CI: 1.05-1.19). The C allele of IGFBP3-202A/C polymorphism was the risk allele for PCa relative to the A allele (OR =1.09, 95% CI: 1.05-1.14). Further stratification analysis revealed that the association between -202A/C polymorphism and PCa risk among Caucasians, but not in other ethnicities, was statistically significant (recessive model, OR =1.10, 95% CI: 1.02-1.19). In addition, the IGFBP3-202A/C polymorphism was associated with PCa risk in both population-based and hospital-based studies in homozygote comparison, recessive model, and allele model.

Conclusion: Our meta-analysis indicates that the IGFBP3-202A/C polymorphism is associated with the risk of PCa, particularly in Caucasians, with the C allele being the risk allele for PCa.

No MeSH data available.


Related in: MedlinePlus