Effect of CDKN2A/B rs4977756 polymorphism on glioma risk: a meta-analysis of 16 studies including 24077 participants

详细信息    查看全文

• 作者：Xuchen Qi ; Yingfeng Wan ; Qitao Zhan ; Shuxu Yang ; Yirong Wang…
• 关键词：CDKN2A/CDKN2B ; rs4977756 polymorphism ; Glioma ; Meta ; analysis
• 刊名：Mammalian Genome
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：27
• 期：1-2
• 页码：1-7
• 全文大小：846 KB
• 参考文献：Ahmed R, Oborski MJ, Hwang M et al (2014) Malignant gliomas: current perspectives in diagnosis, treatment, and early response assessment using advanced quantitative imaging methods. Cancer Manag Res 6:149–170PubMed PubMedCentral
  Bondy ML, Scheurer ME, Malmer B et al (2008) Brain tumor epidemiology: consensus from the Brain Tumor Epidemiology Consortium. Cancer 113:1953–1968PubMed PubMedCentral CrossRef
  Chen H, Chen Y, Zhao Y et al (2011) Association of sequence variants on chromosomes 20, 11, and 5 (20q13.33, 11q23.3, and 5p15.33) with glioma susceptibility in a Chinese population. Am J Epidemiol 173:915–922PubMed CrossRef
  Di Stefano AL, Enciso-Mora V, Marie Y et al (2013) Association between glioma susceptibility loci and tumour pathology defines specific molecular etiologies. Neuro-oncology 15:542–547PubMed PubMedCentral CrossRef
  Dolecek TA, Propp JM, Stroup NE, Kruchko C (2012) CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005–2009. Neuro-oncology 14(Suppl 5):v1–v49PubMed PubMedCentral CrossRef
  Dong YS, Hou WG, Li XL et al (2014) Genetic association of CHEK2, GSTP1, and ERCC1 with glioblastoma in the Han Chinese population. Tumour Biol 35:4937–4941PubMed CrossRef
  Egan KM, Thompson RC, Nabors LB et al (2011) Cancer susceptibility variants and the risk of adult glioma in a US case–control study. J Neurooncol 104:535–542PubMed PubMedCentral CrossRef
  Lachance DH, Yang P, Johnson DR et al (2011) Associations of high-grade glioma with glioma risk alleles and histories of allergy and smoking. Am J Epidemiol 174:574–581PubMed PubMedCentral CrossRef
  Li S, Jin T, Zhang J et al (2012) Polymorphisms of TREH, IL4R and CCDC26 genes associated with risk of glioma. Cancer Epidemiol 36:283–287PubMed CrossRef
  Melin B, Dahlin AM, Andersson U et al (2013) Known glioma risk loci are associated with glioma with a family history of brain tumours—a case-control gene association study. Int J Cancer J Int du Cancer 132:2464–2468CrossRef
  Parsons DW, Jones S, Zhang X et al (2008) An integrated genomic analysis of human glioblastoma multiforme. Science 321:1807–1812PubMed PubMedCentral CrossRef
  Rajaraman P, Melin BS, Wang Z et al (2012) Genome-wide association study of glioma and meta-analysis. Hum Genet 131:1877–1888PubMed PubMedCentral CrossRef
  Research Cancer Genome Atlas (2008) N. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature 455:1061–1068CrossRef
  Ricard D, Idbaih A, Ducray F et al (2012) Primary brain tumours in adults. Lancet 379:1984–1996PubMed CrossRef
  Safaeian M, Rajaraman P, Hartge P et al (2013) Joint effects between five identified risk variants, allergy, and autoimmune conditions on glioma risk. Cancer Causes Control 24:1885–1891PubMed PubMedCentral CrossRef
  Schoemaker MJ, Robertson L, Wigertz A et al (2010) Interaction between 5 genetic variants and allergy in glioma risk. Am J Epidemiol 171:1165–1173PubMed CrossRef
  Sharpless NE, Bardeesy N, Lee KH et al (2001) Loss of p16Ink4a with retention of p19Arf predisposes mice to tumorigenesis. Nature 413:86–91PubMed CrossRef
  Shete S, Hosking FJ, Robertson LB et al (2009) Genome-wide association study identifies five susceptibility loci for glioma. Nat Genet 41:899–904PubMed PubMedCentral CrossRef
  Stroup DF, Berlin JA, Morton SC et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283:2008–2012PubMed CrossRef
  Wager M, Menei P, Guilhot J et al (2008) Prognostic molecular markers with no impact on decision-making: the paradox of gliomas based on a prospective study. Br J Cancer 98:1830–1838PubMed PubMedCentral CrossRef
  Wang SS, Hartge P, Yeager M et al (2011) Joint associations between genetic variants and reproductive factors in glioma risk among women. Am J Epidemiol 174:901–908PubMed PubMedCentral CrossRef
  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 41:905–908PubMed PubMedCentral CrossRef
  
• 作者单位：Xuchen Qi (1)
  Yingfeng Wan (1)
  Qitao Zhan (2)
  Shuxu Yang (1)
  Yirong Wang (1)
  Xiujun Cai (3)
  
  1. Department of Neurosurgery, Sir Run Run Shaw Hospital, College of Medical Sciences, Zhejiang University, Hangzhou, 310016, China
  2. Department of Reproductive Endocrinology, Women’s Hospital, College of Medical Sciences, Zhejiang University, Hangzhou, 310006, China
  3. Department of General Surgery, Sir Run Run Shaw Hospital, College of Medical Sciences, Zhejiang University, Hangzhou, 310016, China
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Cell Biology
  Anatomy
  Zoology
  
• 出版者：Springer New York
• ISSN：1432-1777

文摘

So far, epidemiological studies have been performed to investigate the association of CDKN2A/B rs4977756 polymorphism and glioma risk. However, the results from different studies remain inconsistent. To clarify these conflicts and to quantitatively evaluate the effect of rs4977756 polymorphism on glioma risk, a meta-analysis was conducted using relevant published clinical studies about rs4977756 polymorphisms and glioma risk. Relevant studies concerning the association between rs4977756 polymorphism and risk of glioma were included in this meta-analysis. Odds ratio (OR) and 95 % confidence interval (CI) were calculated under fixed or random effects models when appropriate. Subgroup analyses were performed by race. This meta-analysis included 13 studies with a total of 8129 cases and 15,858 controls. The pooled results showed that there was an obvious association of CDKN2A/B rs4977756 polymorphism with risk of glioma in all four comparison models (dominant model/AG + GG vs. AA: OR = 1.36, 95 %CI = 1.20–1.54, p < 0.01; heterozygote comparison/AG vs. AA: OR = 1.31, 95 %CI = 1.12–1.53, p < 0.01; homozygote comparison/GG versus AA: OR = 1.49, 95 %CI = 1.36–1.64, p < 0.01; additive model/G vs. A: OR = 1.23, 95 %CI = 1.18–1.28, p < 0.01, respectively). For the subgroup analyses of ethnicities, similar results were observed in Caucasians. However, the association was not found between rs4977756 polymorphism and the risk of glioma in all models for the Asian studies. The CDKN2A/B rs4977756 polymorphism is obvious increase the risk of glioma in Caucasians. Future studies are needed to confirm the results in other ethnic populations. Keywords CDKN2A/CDKN2B rs4977756 polymorphism Glioma Meta-analysis