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Published in: Tumor Biology 4/2014

01-04-2014 | Research Article

The effects of p53 Arg72Pro polymorphism on glioma susceptibility: a meta-analysis

Authors: Weijie Zhu, Lei Lu, Yi Li, Jie Yao, Bainan Xu

Published in: Tumor Biology | Issue 4/2014

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Abstract

The potentially functional polymorphism Arg72Pro in p53 gene has been implicated in glioma risk, but published studies have mixed findings. The aim of current investigation was to identify whether p53 Arg72Pro polymorphism was significantly associated with the risk of glioma. By searching the databases of PubMed, EMBASE, and Web of Science, our meta-analysis included ten eligible studies consisting of 2,645 glioma cases and 3,920 control subjects. The association between p53 Arg72Pro polymorphism and glioma risk was assessed by summarizing the odds ratios (ORs) with the corresponding 95 % confidence intervals (CIs). We found that there was no overall risk of glioma in relation to any genetic model of p53 Arg72Pro polymorphism. Similar results were implicated in the analyses which are subgrouped by ethnicity and source of controls. This nonsignificant association remained stable when analyses were restrained to the studies consistent with HWE. In conclusion, our meta-analysis, based on the combined data from published papers before May 2013, reveals no evidence for significant association between p53 Arg72Pro polymorphism and glioma risk.
Literature
1.
go back to reference Hess KR, Broglio KR, Bondy ML. Adult glioma incidence trends in the United States, 1977-2000. Cancer. 2004;101(10):2293–9.PubMedCrossRef Hess KR, Broglio KR, Bondy ML. Adult glioma incidence trends in the United States, 1977-2000. Cancer. 2004;101(10):2293–9.PubMedCrossRef
2.
go back to reference Ron E et al. Tumors of the brain and nervous system after radiotherapy in childhood. N Engl J Med. 1988;319(16):1033–9.PubMedCrossRef Ron E et al. Tumors of the brain and nervous system after radiotherapy in childhood. N Engl J Med. 1988;319(16):1033–9.PubMedCrossRef
3.
go back to reference Thomas TL et al. Brain tumor mortality risk among men with electrical and electronics jobs: a case-control study. J Natl Cancer Inst. 1987;79(2):233–8.PubMed Thomas TL et al. Brain tumor mortality risk among men with electrical and electronics jobs: a case-control study. J Natl Cancer Inst. 1987;79(2):233–8.PubMed
4.
go back to reference Inskip PD, Linet MS, Heineman EF. Etiology of brain tumors in adults. Epidemiol Rev. 1995;17(2):382–414.PubMed Inskip PD, Linet MS, Heineman EF. Etiology of brain tumors in adults. Epidemiol Rev. 1995;17(2):382–414.PubMed
5.
go back to reference Bondy ML et al. Mutagen sensitivity and risk of gliomas: a case-control analysis. Cancer Res. 1996;56(7):1484–6.PubMed Bondy ML et al. Mutagen sensitivity and risk of gliomas: a case-control analysis. Cancer Res. 1996;56(7):1484–6.PubMed
6.
go back to reference Bondy ML et al. Gamma-radiation sensitivity and risk of glioma. J Natl Cancer Inst. 2001;93(20):1553–7.PubMedCrossRef Bondy ML et al. Gamma-radiation sensitivity and risk of glioma. J Natl Cancer Inst. 2001;93(20):1553–7.PubMedCrossRef
7.
go back to reference Ruttan CC, Glickman BW. Coding variants in human double-strand break DNA repair genes. Mutat Res. 2002;509(1–2):175–200.PubMedCrossRef Ruttan CC, Glickman BW. Coding variants in human double-strand break DNA repair genes. Mutat Res. 2002;509(1–2):175–200.PubMedCrossRef
8.
go back to reference Dasika GK et al. DNA damage-induced cell cycle checkpoints and DNA strand break repair in development and tumorigenesis. Oncogene. 1999;18(55):7883–99.PubMedCrossRef Dasika GK et al. DNA damage-induced cell cycle checkpoints and DNA strand break repair in development and tumorigenesis. Oncogene. 1999;18(55):7883–99.PubMedCrossRef
9.
10.
go back to reference Ehrlich M, Zhang XY, Inamdar NM. Spontaneous deamination of cytosine and 5-methylcytosine residues in DNA and replacement of 5-methylcytosine residues with cytosine residues. Mutat Res. 1990;238(3):277–86.PubMedCrossRef Ehrlich M, Zhang XY, Inamdar NM. Spontaneous deamination of cytosine and 5-methylcytosine residues in DNA and replacement of 5-methylcytosine residues with cytosine residues. Mutat Res. 1990;238(3):277–86.PubMedCrossRef
11.
go back to reference Jin S, Levine AJ. The p53 functional circuit. J Cell Sci. 2001;114(Pt 23):4139–40.PubMed Jin S, Levine AJ. The p53 functional circuit. J Cell Sci. 2001;114(Pt 23):4139–40.PubMed
12.
13.
go back to reference Parhar P et al. Possible association of p53 codon 72 polymorphism with susceptibility to adult and pediatric high-grade astrocytomas. Brain Res Mol Brain Res. 2005;137(1–2):98–103.PubMedCrossRef Parhar P et al. Possible association of p53 codon 72 polymorphism with susceptibility to adult and pediatric high-grade astrocytomas. Brain Res Mol Brain Res. 2005;137(1–2):98–103.PubMedCrossRef
14.
go back to reference Jin T, Zhang J, Li G, Li S, Yang B, Chen C, et al. TP53 and RPA3 gene variations were associated with risk of glioma in a Chinese Han population. Cancer Biother Radiopharm. 2013;28(3):248–53.PubMedCrossRef Jin T, Zhang J, Li G, Li S, Yang B, Chen C, et al. TP53 and RPA3 gene variations were associated with risk of glioma in a Chinese Han population. Cancer Biother Radiopharm. 2013;28(3):248–53.PubMedCrossRef
15.
go back to reference Malmer BS et al. Genetic variation in p53 and ATM haplotypes and risk of glioma and meningioma. J Neurooncol. 2007;82(3):229–37.PubMedCrossRef Malmer BS et al. Genetic variation in p53 and ATM haplotypes and risk of glioma and meningioma. J Neurooncol. 2007;82(3):229–37.PubMedCrossRef
16.
go back to reference El HS et al. TP53 codon 72 polymorphism is associated with age at onset of glioblastoma. Neurology. 2009;72(4):332–6.CrossRef El HS et al. TP53 codon 72 polymorphism is associated with age at onset of glioblastoma. Neurology. 2009;72(4):332–6.CrossRef
17.
go back to reference Wang LE et al. Polymorphisms of DNA repair genes and risk of glioma. Cancer Res. 2004;64(16):5560–3.PubMedCrossRef Wang LE et al. Polymorphisms of DNA repair genes and risk of glioma. Cancer Res. 2004;64(16):5560–3.PubMedCrossRef
18.
go back to reference Rajaraman P et al. Polymorphisms in apoptosis and cell cycle control genes and risk of brain tumors in adults. Cancer Epidemiol Biomarkers Prev. 2007;16(8):1655–61.PubMedCrossRef Rajaraman P et al. Polymorphisms in apoptosis and cell cycle control genes and risk of brain tumors in adults. Cancer Epidemiol Biomarkers Prev. 2007;16(8):1655–61.PubMedCrossRef
19.
go back to reference Idbaih A et al. Influence of MDM2 SNP309 alone or in combination with the TP53 R72P polymorphism in oligodendroglial tumors. Brain Res. 2008;1198:16–20.PubMedCrossRef Idbaih A et al. Influence of MDM2 SNP309 alone or in combination with the TP53 R72P polymorphism in oligodendroglial tumors. Brain Res. 2008;1198:16–20.PubMedCrossRef
20.
go back to reference Pinto GR et al. Prognostic value of TP53 Pro47Ser and Arg72Pro single nucleotide polymorphisms and the susceptibility to gliomas in individuals from Southeast Brazil. Genet Mol Res. 2008;7(1):207–16.PubMedCrossRef Pinto GR et al. Prognostic value of TP53 Pro47Ser and Arg72Pro single nucleotide polymorphisms and the susceptibility to gliomas in individuals from Southeast Brazil. Genet Mol Res. 2008;7(1):207–16.PubMedCrossRef
21.
go back to reference Lima-Ramos V et al. TP53 codon 72 polymorphism in susceptibility, overall survival, and adjuvant therapy response of gliomas. Cancer Genet Cytogenet. 2008;180(1):14–9.PubMedCrossRef Lima-Ramos V et al. TP53 codon 72 polymorphism in susceptibility, overall survival, and adjuvant therapy response of gliomas. Cancer Genet Cytogenet. 2008;180(1):14–9.PubMedCrossRef
22.
go back to reference Lau J, Ioannidis JP, Schmid CH. Quantitative synthesis in systematic reviews. Ann Intern Med. 1997;127(9):820–6.PubMedCrossRef Lau J, Ioannidis JP, Schmid CH. Quantitative synthesis in systematic reviews. Ann Intern Med. 1997;127(9):820–6.PubMedCrossRef
23.
go back to reference Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–48.PubMed Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–48.PubMed
24.
26.
go back to reference Idbaih A et al. Tumor genomic profiling and TP53 germline mutation analysis of first-degree relative familial gliomas. Cancer Genet Cytogenet. 2007;176(2):121–6.PubMedCrossRef Idbaih A et al. Tumor genomic profiling and TP53 germline mutation analysis of first-degree relative familial gliomas. Cancer Genet Cytogenet. 2007;176(2):121–6.PubMedCrossRef
27.
go back to reference Faria MH et al. TP53 mutations in astrocytic gliomas: an association with histological grade, TP53 codon 72 polymorphism and p53 expression. APMIS. 2012;120(11):882–9.PubMedCrossRef Faria MH et al. TP53 mutations in astrocytic gliomas: an association with histological grade, TP53 codon 72 polymorphism and p53 expression. APMIS. 2012;120(11):882–9.PubMedCrossRef
28.
go back to reference Portwine C et al. Absence of germline and somatic p53 alterations in children with sporadic brain tumors. J Neurooncol. 2001;52(3):227–35.PubMedCrossRef Portwine C et al. Absence of germline and somatic p53 alterations in children with sporadic brain tumors. J Neurooncol. 2001;52(3):227–35.PubMedCrossRef
29.
30.
go back to reference Iijima, J., et al., [Detection of codon 72 polymorphism of p53 gene from blood and loss of heterozygosity in brain tumors using polymerase chain reaction]. No To Shinkei, 1993. 45(1): p. 43-7. Iijima, J., et al., [Detection of codon 72 polymorphism of p53 gene from blood and loss of heterozygosity in brain tumors using polymerase chain reaction]. No To Shinkei, 1993. 45(1): p. 43-7.
31.
go back to reference Zawlik I et al. Common polymorphisms in the MDM2 and TP53 genes and the relationship between TP53 mutations and patient outcomes in glioblastomas. Brain Pathol. 2009;19(2):188–94.PubMedCrossRef Zawlik I et al. Common polymorphisms in the MDM2 and TP53 genes and the relationship between TP53 mutations and patient outcomes in glioblastomas. Brain Pathol. 2009;19(2):188–94.PubMedCrossRef
32.
go back to reference Jha P et al. TP53 polymorphisms in gliomas from Indian patients: study of codon 72 genotype, rs1642785, rs1800370 and 16 base pair insertion in intron-3. Exp Mol Pathol. 2011;90(2):167–72.PubMedCrossRef Jha P et al. TP53 polymorphisms in gliomas from Indian patients: study of codon 72 genotype, rs1642785, rs1800370 and 16 base pair insertion in intron-3. Exp Mol Pathol. 2011;90(2):167–72.PubMedCrossRef
33.
go back to reference Shete S et al. Genome-wide association study identifies five susceptibility loci for glioma. Nat Genet. 2009;41(8):899–904.PubMedCrossRef Shete S et al. Genome-wide association study identifies five susceptibility loci for glioma. Nat Genet. 2009;41(8):899–904.PubMedCrossRef
34.
35.
go back to reference Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature, 2008. 455(7216): p. 1061-8. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature, 2008. 455(7216): p. 1061-8.
37.
go back to reference Malmer B et al. p53 Genotypes and risk of glioma and meningioma. Cancer Epidemiol Biomarkers Prev. 2005;14(9):2220–3.PubMedCrossRef Malmer B et al. p53 Genotypes and risk of glioma and meningioma. Cancer Epidemiol Biomarkers Prev. 2005;14(9):2220–3.PubMedCrossRef
38.
go back to reference He F et al. P53 codon 72 Arg/Pro polymorphism and glioma risk: an updated meta-analysis. Tumor Biol. 2013;34:3121–30.CrossRef He F et al. P53 codon 72 Arg/Pro polymorphism and glioma risk: an updated meta-analysis. Tumor Biol. 2013;34:3121–30.CrossRef
39.
go back to reference Higgins J.P.T., Greens S., Cochrane handbook for systematic reviews of intervention version 5.1.0 [updated March 2011]. The Cochrane collaboration, 2011. Available from www.cochrane-handbook.org.Accessed 30 May 2013. Higgins J.P.T., Greens S., Cochrane handbook for systematic reviews of intervention version 5.1.0 [updated March 2011]. The Cochrane collaboration, 2011. Available from www.​cochrane-handbook.​org.Accessed 30 May 2013.
Metadata
Title
The effects of p53 Arg72Pro polymorphism on glioma susceptibility: a meta-analysis
Authors
Weijie Zhu
Lei Lu
Yi Li
Jie Yao
Bainan Xu
Publication date
01-04-2014
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 4/2014
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-013-1494-4

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