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
. 2014 Jan 13:4:3648.
doi: 10.1038/srep03648.

MicroRNA sequence polymorphisms and the risk of different types of cancer

Ye Hu  1 , Chen-Yang Yu  1 , Ji-Lin Wang  2 , Jian Guan  3 , Hao-Yan Chen  2 , Jing-Yuan Fang  2
Affiliations
Meta-Analysis

MicroRNA sequence polymorphisms and the risk of different types of cancer

Ye Hu et al. Sci Rep. .

Abstract

MicroRNAs (miRNAs) participate in diverse biological pathways and may act as oncogenes or tumor suppressors. Single nucleotide polymorphisms (SNPs) in miRNAs (MirSNPs) might promote carcinogenesis by affecting miRNA function and/or maturation; however, the association between MirSNPs reported and cancer risk remain inconsistent. Here, we investigated the association between nine common MirSNPs and cancer risk using data from large scale case-control studies. Eight precursor-miRNA (pre-miRNA) SNPs (rs2043556/miR-605, rs3746444/miR-499a/b, rs4919510/miR-608, rs2910164/miR-146a, rs11614913/miR-196a2, rs895819/miR-27a, rs2292832/miR-149, rs6505162/miR-423) and one primary-miRNA (pri-miRNA) SNP (rs1834306/miR-100) were analyzed in 16399 cases and 21779 controls from seven published studies in eight common cancers. With a novel statistic, Cross phenotype meta-analysis (CPMA) of the association of MirSNPs with multiple phenotypes indicated rs2910164 C (P = 1.11E-03), rs2043556 C (P = 0.0165), rs6505162 C (P = 2.05E-03) and rs895819 (P = 0.0284) were associated with a significant overall risk of cancer. In conclusion, MirSNPs might affect an individual's susceptibility to various types of cancer.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Meta-analysis of nine MirSNPs and their association with the overall risk of cancer.
(a) rs2292832; (b) rs2910164; (c) rs2043556; (d) rs4919510; (e) rs1834306; (f) rs1614913; (g) rs6505162; (h) rs895819; (i) rs3746444.
Figure 2
Figure 2. Begg's funnel plot with pseudo 95% confidence limits for publication bias of the MirSNPs in meta-analysis.
Begg's test offers no evidence of publication bias. (a) rs2292832 (P = 0.386); (b) rs2910164 (P = 0.536); (c) rs2043556 (P = 0.386); (d) rs4919510 (P = 1.000); (e) rs1834306 (P = 0.174); (f) rs11614913 (P = 0.536); (g) rs6505162 (P = 0.174); (h) rs895819 (P = 0.386); (i) rs3746444 (P = 1.000).
See this image and copyright information in PMC

References

    1. Lagos-Quintana M., Rauhut R., Lendeckel W. & Tuschl T. Identification of novel genes coding for small expressed RNAs. Science. 294, 853–8 (2001). - PubMed
    1. Ambros V. MicroRNA pathways in flies and worms: growth, death, fat, stress, and timing. Cell. 113, 673–6 (2003). - PubMed
    1. Lu J. et al. MicroRNA expression profiles classify human cancers. Nature. 435, 834–8 (2005). - PubMed
    1. Ryan B. M., Robles A. I. & Harris C. C. Genetic variation in microRNA networks: the implications for cancer research. Nat Rev Cancer. 10, 389–402 (2010). - PMC - PubMed
    1. Ma Y. et al. Candidate microRNA biomarkers in human colorectalcancer: systematicreview profiling studies andexperimental validation. Int J Cancer. 130, 2077–87 (2012). - PubMed

Publication types

LinkOut - more resources