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Authors Tang W, Kang M, Liu C, Qiu H
Received 8 October 2018
Accepted for publication 7 March 2019
Published 16 April 2019 Volume 2019:12 Pages 2879—2890
DOI https://doi.org/10.2147/OTT.S190093
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Ru Chen
Peer reviewer comments 2
Editor who approved publication: Dr Arseniy Yuzhalin
Background: Leptin
(LEP) is a human analogous form of the mouse obese gene and plays a critical
role in energy expenditure as well as the progression of carcinogenesis. Many
studies exploring the relationship between the LEP rs7799039
(G2548A) polymorphism and cancer risk have observed controversial results. To
extensively evaluate this potential association, we conducted this
meta-analysis.
Methods: All
eligible studies published up to August 2018 on the relationship between
the LEP rs7799039
G>A polymorphism and cancer risk were obtained by searching PubMed, EMBASE,
and the China Biology Medicine databases. The association of LEP rs7799039
G>A polymorphism with cancer risk was evaluated by crude ORs together with
their 95% CI’s.
Results: Thirty-one
case–control studies involving 25,799 subjects were included for meta-analysis.
We identify a significant correlation with an overall cancer risk when these
eligible case–control studies were pooled for analysis: for AA vs GG: an
OR = 1.22, 95% CI = 1.01–1.48, P = 0.042 and for AA/GA vs GG: an
OR = 1.16, 95% CI = 1.02–1.33, P = 0.026. A significant association was also detected
in Asians, prostate cancer, other cancers, and hematopoietic malignancy
subgroups. Sensitivity analysis was conducted by deleting an individual study
in turn and calculation of the pooled ORs and CIs of the remainders. The
results of sensitivity analyses indicated that no eligible study influenced the
pooled ORs and CIs materially. Begg’s and Egger’s tests revealed that there was
no evidence of publication bias.
Conclusion: In
conclusion, our study suggests that the LEP rs7799039 G>A polymorphism might
contribute to the development of cancer. In order to further verify or refute
our findings, large and well-designed epidemiological studies are needed.
Keywords: leptin,
polymorphism, cancer, risk, energy, meta-analysis
