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Review
. 2018 May 15;9(37):24857-24868.
doi: 10.18632/oncotarget.25324.

Association of PDCD6 polymorphisms with the risk of cancer: Evidence from a meta-analysis

Mohammad Hashemi  1   2 , Gholamreza Bahari  2 , Jarosław Markowski  3 , Andrzej Małecki  4 , Marek J Łos  5   6 , Saeid Ghavami  7   8
Affiliations
Review

Association of PDCD6 polymorphisms with the risk of cancer: Evidence from a meta-analysis

Mohammad Hashemi et al. Oncotarget. .

Erratum in

Abstract

This study was designed to evaluate the relationship between Programmed cell death protein 6 (PDCD6) polymorphisms and cancer susceptibility. The online databases were searched for relevant case-control studies published up to November 2017. Review Manage (RevMan) 5.3 was used to conduct the statistical analysis. The pooled odds ratio (OR) with its 95% confidence interval (CI) was employed to calculate the strength of association. Overall, our results indicate that PDCD6 rs3756712 T>G polymorphism was significantly associated with decreased risk of cancer under codominant (OR = 0.82, 95%CI = 0.70-0.96, p = 0.01, TG vs TT; OR = 0.53, 95%CI = 0.39-0.72, p < 0.0001, GG vs TT), dominant (OR = 0.76, 95%CI = 0.66-0.89, p = 0.0004, TG+GG vs TT), recessive (OR = 0.57, 95%CI = 0.43-0.78, p = 0.0003, GG vs TT+TG), and allele (OR = 0.76, 95%CI = 0.67-0.86, p < 0.00001, G vs T) genetic model. The finding did not support an association between rs4957014 T>G polymorphism of PDCD6, and different cancers risk.

Keywords: PDCD6; cancer; endometrial cancer; meta-analysis; risk.

PubMed Disclaimer

Conflict of interest statement

CONFLICTS OF INTEREST The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Map of the human PDCD6 gene with polymorphisms positions indicated
Exons 1–6 are numbered and represented by black boxes. Both of the rs3756712 T>G and rs4957014 T>G variants positioned in intron region.
Figure 2
Figure 2. Flow chart of literature screening and selection in the meta-analysis
Figure 3
Figure 3. Forest plots of the association between cancer risk and the rs3756712 T>G polymorphism in the overall study population under the following models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vs TT+TG, (E) TG vs TT+GG, and (F) G vs T.
Figure 4
Figure 4. Forest plots of the association between cancer risk and the rs4957014 T>G polymorphism in the overall study population under the following models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vsTT+TG, (E) TG vs TT+GG, and (F) G vs T.
Figure 5
Figure 5. Funnel plots of the association between cancer risk and the rs3756712 T>G polymorphism in the overall study population under the following models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vs TT+TG, (E) TG vs TT+GG, and (F) G vs T.
Figure 6
Figure 6. Funnel plots of the association between cancer risk and the rs4957014 T>G polymorphism in the overall study population under the following models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vs TT+TG, (E) TG vs TT+GG, and (F) G vs T.
Figure 7
Figure 7. Sensitivity analyses for studies on PDCD6 rs3756712 T>G using different genetic models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vs TT+TG, (E) TG vs TT+GG, and (F) G vs T.
Figure 8
Figure 8. Sensitivity analyses for studies on PDCD6 rs4957014 T>G using different genetic models
(A) TG vs TT, (B) GG vs TT, (C) TG+GG vs TT, (D) GG vs TT+TG, (E) TG vs TT+GG, and (F) G vs T.
See this image and copyright information in PMC

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