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The RTEL1 rs6010620 Polymorphism and Glioma Risk: a Meta-analysis Based on 12 Case-control Studies

  • Du, Shu-Li (School of Life Sciences, Northwest University) ;
  • Geng, Ting-Ting (National Engineering Research Center for Miniaturized Detection Systems) ;
  • Feng, Tian (National Engineering Research Center for Miniaturized Detection Systems) ;
  • Chen, Cui-Ping (National Engineering Research Center for Miniaturized Detection Systems) ;
  • Jin, Tian-Bo (School of Life Sciences, Northwest University) ;
  • Chen, Chao (School of Life Sciences, Northwest University)
  • Published : 2015.01.06

Abstract

Background: The association between the RTEL1 rs6010620 single nucleotide polymorphism (SNP) and glioma risk has been extensively studied. However, the results remain inconclusive. To further examine this association, we performed a meta-analysis. Materials and Methods: A computerized search of the PubMed and Embase databases for publications regarding the RTEL1 rs6010620 polymorphism and glioma cancer risk was performed. Genotype data were analyzed in a meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association. Sensitivity analyses, tests of heterogeneity, cumulative meta-analyses, and assessments of bias were performed in our meta-analysis. Results: Our meta-analysis confirmed that risk with allele A is lower than with allele G for glioma. The A allele of rs6010620 in RTEL1 decreased the risk of developing glioma in the 12 case-control studies for all genetic models: the allele model (OR=0.752, 95%CI: 0.715-0.792), the dominant model (OR=0.729, 95%CI: 0.685-0.776), the recessive model (OR=0.647, 95%CI: 0.569-0.734), the homozygote comparison (OR=0.528, 95%CI: 0.456-0.612), and the heterozygote comparison (OR=0.761, 95%CI: 0.713-0.812). Conclusions: In all genetic models, the association between the RTEL1 rs6010620 polymorphism and glioma risk was significant. This meta-analysis suggests that the RTEL1 rs6010620 polymorphism may be a risk factor for glioma. Further functional studies evaluating this polymorphism and glioma risk are warranted.

Keywords

Meta-analysis;glioma;case-control studies;polymorphism;RTEL1 gene

References

  1. Adelman CA, Boulton SJ (2010). Metabolism of postsynaptic recombination intermediates. FEBS Lett, 584, 3709-16. https://doi.org/10.1016/j.febslet.2010.05.023
  2. Bai C, Connolly B, Metzker ML, et al (2000). Overexpression of M68/DcR3 in human gastrointestinal tract tumors independent of gene amplification and its location in a fourgene cluster. Proc Natl Acad Sci USA, 97, 1230-5. https://doi.org/10.1073/pnas.97.3.1230
  3. Barber LJ, Youds JL, Ward JD, et al (2008). RTEL1 maintains genomic stability by suppressing homologous recombination. Cell, 135, 261-71. https://doi.org/10.1016/j.cell.2008.08.016
  4. Chen H, Sun B, Zhao Y, et al (2012). Fine mapping of a region of chromosome 11q23.3 reveals independent locus associated with risk of glioma. PLoS One, 7, 52864. https://doi.org/10.1371/journal.pone.0052864
  5. Das BR, Tangri R, Ahmad F, et al (2013). Molecular investigation of isocitrate dehydrogenase gene (IDH) mutations in gliomas: first report of IDH2 mutations in Indian patients. Asian Pac J Cancer Prev, 14, 7261-4. https://doi.org/10.7314/APJCP.2013.14.12.7261
  6. DerSimonian R, Laird N (1986). Meta-analysis in clinical trials. Control Clin Trials, 7, 177-88. https://doi.org/10.1016/0197-2456(86)90046-2
  7. Egger M, Davey Smith G, Schneider M, et al (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629-34. https://doi.org/10.1136/bmj.315.7109.629
  8. Higgins JP, Thompson SG (2002). Quantifying heterogeneity in a meta-analysis. Stat Med, 21, 1539-58. https://doi.org/10.1002/sim.1186
  9. Higgins JP, Thompson SG, Deeks JJ, et al (2003). Measuring inconsistency in meta-analyses. BMJ, 327, 557-60. https://doi.org/10.1136/bmj.327.7414.557
  10. Jin TB, Zhang JY, Li G, et al (2013). RTEL1 and TERT polymorphisms are associated with astrocytoma risk in the Chinese Han population. Tumour Biol, 34, 3659-66. https://doi.org/10.1007/s13277-013-0947-0
  11. Li G, Jin TB, Liang HJ, et al (2013). RTEL1 tagging SNPs and haplotypes were associated with glioma development. Diagnostic Pathology, 8, 83. https://doi.org/10.1186/1746-1596-8-83
  12. Liang HJ, Yan YL, Liu ZM, et al (2013). Association of XRCC3 Thr241Met polymorphisms and glioma risk: evidence from a meta-analysis. Asian Pac J Cancer Prev, 14, 4243-7. https://doi.org/10.7314/APJCP.2013.14.7.4243
  13. Little MP, de Vathaire F, Shamsaldin A, et al (1998). Risks of brain tumour following treatment for cancer in childhood: modification by genetic factors, radiotherapy and chemotherapy. Int J Cancer, 78, 269-75. https://doi.org/10.1002/(SICI)1097-0215(19981029)78:3<269::AID-IJC1>3.0.CO;2-T
  14. Liu Y, Shete S, Etzel CJ, et al (2010). Polymorphisms of LIG4, BTBD2, HMGA2, and RTEL1 genes involved in the doublestrand break repair pathway predict glioblastoma survival. J Clin Oncol, 28, 2467-74. https://doi.org/10.1200/JCO.2009.26.6213
  15. Liu Y, Zhang H, Zhou K, et al (2007). Tagging SNPs in nonhomologous end-joining pathway genes and risk of glioma. Carcinogenesis, 28, 1906-13. https://doi.org/10.1093/carcin/bgm073
  16. Mantel N, Haenszel W (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst, 22, 719-48.
  17. Mirabello L, Yu K, Kraft P, et al (2010). The association of telomere length and genetic variation in telomere biology genes. Hum Mutat, 31, 1050-8. https://doi.org/10.1002/humu.21314
  18. Neglia JP, Robison LL, Stovall M, et al (2006). New primary neoplasms of the central nervous system in survivors of childhood cancer: a report from the Childhood Cancer Survivor Study. J Natl Cancer Inst, 98, 1528-37. https://doi.org/10.1093/jnci/djj411
  19. Qin X, Peng Q, Tang W, et al (2013). An updated meta-analysis on the association of MDM2 SNP309 polymorphism with colorectal cancer risk. PLoS One, 8, 76031. https://doi.org/10.1371/journal.pone.0076031
  20. Schoemaker MJ, Robertson L, Wigertz A, et al (2010). Interaction between 5 genetic variants and allergy in glioma risk. Am J Epidemiol, 171, 1165-73. https://doi.org/10.1093/aje/kwq075
  21. Shete S, Hosking FJ, Robertson LB, et al (2009). Genome-wide association study identifies five susceptibility loci for glioma. Nat Genet, 41, 899-904. https://doi.org/10.1038/ng.407
  22. Uringa EJ, Lisaingo K, Pickett HA, et al (2012). RTEL1 contributes to DNA replication and repair and telomere maintenance. Mol Biol Cell, 23, 2782-92. https://doi.org/10.1091/mbc.E12-03-0179
  23. Uringa EJ, Youds JL, Lisaingo K, et al (2011). RTEL1: an essential helicase for telomere maintenance and the regulation of homologous recombination. Nucleic Acids Res, 39, 1647-55. https://doi.org/10.1093/nar/gkq1045
  24. Walcott F, Rajaraman P, Gadalla SM, et al (2013). Telomere length and risk of glioma. Cancer Epidemiol, 37, 935-8. https://doi.org/10.1016/j.canep.2013.10.002
  25. Walsh KM, Anderson E, Hansen HM, et al (2013a). Analysis of 60 reported glioma risk SNPs replicates published GWAS findings but fails to replicate associations from published candidate-gene studies. Genet Epidemiol, 37, 222-8. https://doi.org/10.1002/gepi.21707
  26. Walsh KM, Rice T, Decker PA, et al (2013b). Genetic variants in telomerase-related genes are associated with an older age at diagnosis in glioma patients: evidence for distinct pathways of gliomagenesis. Neuro-Oncology, 15, 1041-7. https://doi.org/10.1093/neuonc/not051
  27. Wrensch M, Jenkins RB, Chang JS, et al (2009). Variants in the CDKN2B and RTEL1 regions are associated with high-grade glioma susceptibility. Nat Genet, 41, 905-8. https://doi.org/10.1038/ng.408
  28. Youds JL, Mets DG, McIlwraith MJ, et al (2010). RTEL-1 enforces meiotic crossover interference and homeostasis. Science, 327, 1254-8. https://doi.org/10.1126/science.1183112

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