Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Nov 5:25:8315-8325.
doi: 10.12659/MSM.917715.

Evidence from 40 Studies that 2 Common Single-Nucleotide Polymorphisms (SNPs) of RNASEL Gene Affect Prostate Cancer Susceptibility: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-Compliant Meta-Analysis

Jun Xia  1   2   3 , Rulin Sun  1   2   4
Affiliations
Meta-Analysis

Evidence from 40 Studies that 2 Common Single-Nucleotide Polymorphisms (SNPs) of RNASEL Gene Affect Prostate Cancer Susceptibility: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-Compliant Meta-Analysis

Jun Xia et al. Med Sci Monit. .

Abstract

BACKGROUND Numerous studies have evaluated the relationship between RNASEL gene polymorphisms (rs486907 G>A and rs627928 T>G) and the risk of cancer. However, many of the results have been controversial. To explore the role of RNASEL gene polymorphisms in prostate cancer, we carried out the present meta-analysis. MATERIAL AND METHODS The qualified articles were collected from PubMed, Web of Science, Scopus, CNKI, and WanFang databases to August 2018. A total 23 articles with 40 studies were incorporated into our analysis. RESULTS Our data show that rs486907 was not associated with the risk of prostate cancer in any populations. Nevertheless, rs627928 was reported to promote the development of prostate cancer (T vs. G: OR=1.08, 95% CI=1.01-1.15; TT+TG vs. GG: OR=1.14, 95% CI=1.03-1.25) in allele and recessive models in overall populations. Stratified analyses showed that similar results were obtained in white populations. CONCLUSIONS We report the effect of rs627928 on the development of prostate cancer and confirm that rs486907 is not involved in the risk of prostate cancer in the current meta-analysis. However, research in larger populations is needed to validate our conclusions.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest.

None.

Figures

Figure 1
Figure 1
Flow chart of this meta-analysis showing process of study search and selection.
Figure 2
Figure 2
Forest plots for the meta-analysis between the 2 SNPs of RNASEL and prostate cancer risk. (A) Allelic model (G vs. A) for rs486907 in overall populations. (B) Allelic model (G vs. A) for rs486907 in Caucasian populations. (C) Allelic model (T vs. G) for rs627928 in overall populations. (D) Allelic model (T vs. G) for rs627928 in Caucasian populations.
Figure 3
Figure 3
Sensitivity analysis for rs486907 and rs627928. (A) Allelic model (G vs. A) for rs486907 in overall populations. (B) Allelic model (G vs. A) for rs486907 in Caucasian populations. (C) Allelic model (T vs. G) for rs627928 in overall populations. (D) Allelic model (T vs. G) for rs627928 in Caucasian populations.
Figure 4
Figure 4
TSA of the 2 SNPs of RNASEL and prostate cancer risk. (A) Allelic model (G vs. A) for rs486907 in overall populations. (B) Allelic model (G vs. A) for rs486907 in Caucasian populations. (C) Allelic model (T vs. G) for rs627928 in overall populations. (D) Allelic model (T vs. G) for rs627928 in Caucasian populations.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. Cancer J Clin. 2017;67:7–30. - PubMed
    1. Lengyel P. Tumor-suppressor genes: News about the interferon connection. Proc Natl Acad Sci USA. 1993;90:5893–95. - PMC - PubMed
    1. Hassel BA, Zhou A, Sotomayor C, et al. A dominant negative mutant of 2-5A-dependent RNase suppresses antiproliferative and antiviral effects of interferon. EMBO J. 1993;12:3297–304. - PMC - PubMed
    1. Arredondo M, de Bethencourt F, Trevino A, et al. Short communication: RNASEL alleles and susceptibility to infection by human retroviruses and hepatitis viruses. AIDS Res Hum Retroviruses. 2012;28:1259–61. - PMC - PubMed
    1. Wiklund F, Jonsson BA, Brookes AJ, et al. Genetic analysis of the RNASEL gene in hereditary, familial, and sporadic prostate cancer. Clin Cancer Res. 2004;10:7150–56. - PubMed

Substances