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Meta-Analysis
. 2015 Jun 5;10(6):e0127253.
doi: 10.1371/journal.pone.0127253. eCollection 2015.

Three ADIPOR1 Polymorphisms and Cancer Risk: A Meta-Analysis of Case-Control Studies

Affiliations
Meta-Analysis

Three ADIPOR1 Polymorphisms and Cancer Risk: A Meta-Analysis of Case-Control Studies

Jiaxiang Ye et al. PLoS One. .

Abstract

Background: Studies have come to conflicting conclusions about whether polymorphisms in the adiponectin receptor 1 gene (ADIPOR1) are associated with cancer risk. To help resolve this question, we meta-analyzed case-control studies in the literature.

Methods: PubMed, EMBASE, Cochrane Library, the Chinese Biological Medical Database and the Chinese National Knowledge Infrastructure Database were systematically searched to identify all case-control studies published through February 2015 examining any ADIPOR1 polymorphisms and risk of any type of cancer. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated.

Results: A total of 13 case-control studies involving 5,750 cases and 6,762 controls were analyzed. Analysis of the entire study population revealed a significant association between rs1342387(G/A) and overall cancer risk using a homozygous model (OR 0.82, 95%CI 0.72 to 0.94), heterozygous model (OR 0.84, 95%CI 0.76 to 0.93), dominant model (OR 0.85, 95%CI 0.75 to 0.97) and allele contrast model (OR 0.88, 95%CI 0.80 to 0.97). However, subgroup analysis showed that this association was significant only for Asians in the case of colorectal cancer. No significant associations were found between rs12733285(C/T) or rs7539542(C/G) and cancer risk, either in analyses of the entire study population or in analyses of subgroups.

Conclusions: Our meta-analysis suggests that the ADIPOR1 rs1342387(G/A) polymorphism, but not rs12733285(C/T) or rs7539542(C/G), may be associated with cancer risk, especially risk of colorectal cancer in Asians. Large, well-designed studies are needed to verify our findings.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Flow diagram of study selection for the meta-analysis.
CBM, Chinese Biological Medical Database. CNKI, Chinese National Knowledge Infrastructure Database.
Fig 2
Fig 2. Forest plot of the association between ADIPOR1 SNP rs7539542(C/G) and cancer risk in a dominant model.
Fig 3
Fig 3. Forest plot of the association between ADIPOR1 SNP rs1342387(G/A) and cancer risk in a homozygous model.
Fig 4
Fig 4. Forest plot of the association between ADIPOR1 SNP rs1342387(G/A) and cancer risk in a heterozygous model.
Fig 5
Fig 5. Forest plot of the association between ADIPOR1 SNP rs12733285(C/T) and cancer risk in a dominant model after sensitivity analysis.
Fig 6
Fig 6. Forest plot of the association between ADIPOR1 SNP rs1342387(G/A) and cancer risk in an allele contrast model after sensitivity analysis.
Fig 7
Fig 7. Funnel plot to detect publication bias in data on ADIPOR1 SNP rs12733285(C/T) according to a dominant model.
Fig 8
Fig 8. Funnel plot to detect publication bias in data on ADIPOR1 SNP rs1342387(G/A) according to a dominant model.
Fig 9
Fig 9. Funnel plot to detect publication bias in data on ADIPOR1 SNP rs7539542(C/G) according to a dominant model.

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