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Adel Fahmideh M, Schwartzbaum J, Frumento P, Feychting M. Association between DNA repair gene polymorphisms and risk of glioma: a systematic review and meta-analysis. Neuro Oncol 2014; 16:807-14. [PMID: 24500421 DOI: 10.1093/neuonc/nou003] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Association studies of germline DNA repair single nucleotide polymorphisms (SNPs) and glioma risk have yielded inconclusive results. We therefore performed a systematic review and meta-analysis of studies investigating this association. METHODS We identified 27 eligible studies investigating 105 SNPs in 42 DNA repair genes. Of these, 10 SNPs in 7 genes were analyzed in at least 4 studies and were therefore included in our meta-analysis. The meta-analysis was performed for homozygote comparison, heterozygote comparison, and dominant and recessive models by applying a fixed- or random-effects model. The funnel and forest plots were created using RevMan software. RESULTS We found that SNPs rs3212986 (odds ratio [OR] = 1.35 (1.08-1.68), P = .008), rs13181 (OR = 1.18 (1.06-1.31), P = .002), and rs25487 (OR = 1.12 (1.03-1.22), P = .007) in DNA repair genes ERCC1, ERCC2 (XPD), and XRCC1 may increase the risk of glioma, while polymorphisms rs1136410 (OR = 0.78 (0.68-0.89), P = .0004) and rs12917 (OR = 0.84 (0.73-0.96), P = .01) in PARP1(ADPRT) and MGMT are associated with decreased susceptibility to glioma. No evidence of significant associations between ERCC2 rs1799793, OGG1 rs1052133, XRCC1 rs25489, XRCC1 rs1799782, or XRCC3 rs861539 and risk of glioma was observed. CONCLUSION This study provides evidence that DNA repair genes ERCC1, ERCC2, and XRCC1 might be low-penetrance glioma-risk genes, while MGMT and PARP1 polymorphisms may confer protection against glioma.
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Affiliation(s)
- Maral Adel Fahmideh
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (M.A.F., M.F.); Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio (J.S.); Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.F.)
| | - Judith Schwartzbaum
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (M.A.F., M.F.); Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio (J.S.); Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.F.)
| | - Paolo Frumento
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (M.A.F., M.F.); Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio (J.S.); Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.F.)
| | - Maria Feychting
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (M.A.F., M.F.); Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio (J.S.); Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.F.)
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Enciso-Mora V, Hosking FJ, Di Stefano AL, Zelenika D, Shete S, Broderick P, Idbaih A, Delattre JY, Hoang-Xuan K, Marie Y, Labussière M, Alentorn A, Ciccarino P, Rossetto M, Armstrong G, Liu Y, Gousias K, Schramm J, Lau C, Hepworth SJ, Schoemaker M, Strauch K, Müller-Nurasyid M, Schreiber S, Franke A, Moebus S, Eisele L, Swerdlow A, Simon M, Bondy M, Lathrop M, Sanson M, Houlston RS. Low penetrance susceptibility to glioma is caused by the TP53 variant rs78378222. Br J Cancer 2013; 108:2178-85. [PMID: 23571737 PMCID: PMC3670481 DOI: 10.1038/bjc.2013.155] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Revised: 03/12/2013] [Accepted: 03/16/2013] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Most of the heritable risk of glioma is presently unaccounted for by mutations in known genes. In addition to rare inactivating germline mutations in TP53 causing glioma in the context of the Li-Fraumeni syndrome, polymorphic variation in TP53 may also contribute to the risk of developing glioma. METHODS To comprehensively evaluate the impact of variation in TP53 on risk, we analysed 23 tagSNPs and imputed 2377 unobserved genotypes in four series totaling 4147 glioma cases and 7435 controls. RESULTS The strongest validated association signal was shown by the imputed single-nucleotide polymorphism (SNP) rs78378222 (P=6.86 × 10(-24), minor allele frequency ~0.013). Confirmatory genotyping confirmed the high quality of the imputation. The association between rs78378222 and risk was seen for both glioblastoma multiforme (GBM) and non-GBM tumours. We comprehensively examined the relationship between rs78378222 and overall survival in two of the case series totaling 1699 individuals. Despite employing statistical tests sensitive to the detection of differences in early survival, no association was shown. CONCLUSION Our data provided strong validation of rs78378222 as a risk factor for glioma but do not support the tenet that the polymorphism being a clinically useful prognostic marker. Acquired TP53 inactivation is a common feature of glioma. As rs78378222 changes the polyadenylation signal of TP53 leading to impaired 3'-end processing of TP53 mRNA, the SNP has strong plausibility for being directly functional contributing to the aetiological basis of glioma.
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Affiliation(s)
- V Enciso-Mora
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
| | - F J Hosking
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
| | - A L Di Stefano
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - D Zelenika
- Commissariat à l'Energie Atomique, Institut de Génomique, Centre National de Génotypage, 2 rue Gaston Crémieux, CP 5721, Evry 91057, France
| | - S Shete
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, P O Box 301439, Houston, TX 77230, USA
| | - P Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
| | - A Idbaih
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
- AP-HP, GH Pitié-Salpêtrière, Service de Neurologie Mazarin, 47 boulevard de l'Hôpital, Paris 75651, France
| | - J-Y Delattre
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
- AP-HP, GH Pitié-Salpêtrière, Service de Neurologie Mazarin, 47 boulevard de l'Hôpital, Paris 75651, France
| | - K Hoang-Xuan
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
- AP-HP, GH Pitié-Salpêtrière, Service de Neurologie Mazarin, 47 boulevard de l'Hôpital, Paris 75651, France
| | - Y Marie
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - M Labussière
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - A Alentorn
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - P Ciccarino
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - M Rossetto
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
| | - G Armstrong
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, P O Box 301439, Houston, TX 77230, USA
| | - Y Liu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, P O Box 301439, Houston, TX 77230, USA
| | - K Gousias
- Neurochirurgische Universitätsklinik, Universitätskliniken Bonn, Sigmund-Freud-Street 25, Bonn 53105, Germany
| | - J Schramm
- Neurochirurgische Universitätsklinik, Universitätskliniken Bonn, Sigmund-Freud-Street 25, Bonn 53105, Germany
| | - C Lau
- Department of Pediatrics, Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, 6701 Fannin Street, Ste. 142, Houston, TX 77030, USA
| | - S J Hepworth
- Centre for Epidemiology and Biostatistics, Faculty of Medicine and Health, University of Leeds, Leeds LS2 9JT, UK
| | - M Schoemaker
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
- Division of Breast Cancer Research, Institute of Cancer Research, Surrey, SM2 5NG, UK
| | - K Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, Munich 80539, Germany
| | - M Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, Munich 80539, Germany
- Department of Medicine I, Klinikum Grosshadern, Ludwig-Maximilians-Universität Marchioninistraße 15, Munich 81377, Germany
| | - S Schreiber
- 1st Medical Department, University Clinic Schleswig-Holstein, Campus Kiel, House 6, Arnold-Heller-Street 3, Kiel 24105, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Arnold-Heller-Straße 3, Kiel 24105, Germany
| | - A Franke
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Hufelandstreet 55, Essen 45122, Germany
| | - S Moebus
- Department of Haematology, University Hospital of Essen, University Duisburg-Essen, Hufelandstreet 55, Essen 45122,Germany
| | - L Eisele
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), lm Neuenheimer Feld 580, Heidelberg 69120, Germany
| | - A Swerdlow
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
- Division of Breast Cancer Research, Institute of Cancer Research, Surrey, SM2 5NG, UK
| | - M Simon
- Neurochirurgische Universitätsklinik, Universitätskliniken Bonn, Sigmund-Freud-Street 25, Bonn 53105, Germany
| | - M Bondy
- Department of Pediatrics, Texas Children's Cancer and Hematology Centers, Baylor College of Medicine, 6701 Fannin Street, Ste. 142, Houston, TX 77030, USA
| | - M Lathrop
- AP-HP, GH Pitié-Salpêtrière, Service de Neurologie Mazarin, 47 boulevard de l'Hôpital, Paris 75651, France
- Foundation Jean Dausset-CEPH, 27 Rue Juliette Dodu, Paris 75010, France
| | - M Sanson
- Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut duCerveau et de la Moëlle épinière (CRICM) UMR-S975, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, Paris 75651, France
- AP-HP, GH Pitié-Salpêtrière, Service de Neurologie Mazarin, 47 boulevard de l'Hôpital, Paris 75651, France
| | - R S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Surrey SM2 5NG, UK
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Zhang JN, Yi SH, Zhang XH, Liu XY, Mao Q, Li SQ, Xiong WH, Qiu YM, Chen T, Ge JW. Association of p53 Arg72Pro and MDM2 SNP309 polymorphisms with glioma. GENETICS AND MOLECULAR RESEARCH 2012; 11:3618-28. [PMID: 23096687 DOI: 10.4238/2012.october.4.9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Epidemiological studies of the association of variants p53 Arg72Pro and MDM2 single-nucleotide polymorphism 309 (SNP309) with glioma risk have produced inconsistent results. The aim of the current study was to evaluate the association of these 2 variants with glioma susceptibility using a meta-analysis approach. For p53 Arg72Pro, 10 case-control studies including 2587 glioma patients and 4061 unrelated controls were identified. The pooled odds ratios (ORs) for Arg/Pro heterozygotes and Pro/Pro homozygotes were 1.08 [95% confidence interval (95%CI) = 0.85-1.37] and 1.08 (95%CI = 0.85-1.36), respectively, when compared to Arg/Arg carriers. Under the dominant effect model, Pro allele carriers also showed no significantly elevated glioma risk (pooled OR = 1.11, 95%CI = 0.90-1.38), and similar results were found under the recessive-effect model (pooled OR = 1.17, 95%CI = 0.85-1.61). For variant MDM2 SNP309, 3 case-control studies including 606 cases and 309 controls were identified. A marginal association with glioma risk was found for heterozygous G/T carriers (pooled OR = 1.95, 95%CI = 1.00- 3.81), whereas homozygous G/G carriers showed an increased but not significantly elevated risk of glioma (pooled OR = 2.14, 95%CI = 0.71-6.45) compared with that of T/T homozygotes. We also found no significant association between the MDM2 SNP309 polymorphism and glioma risk (pooled OR = 1.86, 95%CI = 0.94-3.67 and pooled OR = 1.25, 95%CI = 0.62-2.56, respectively) under the dominant and recessive models. Taken together, the current data suggested that the 2 polymorphisms may not contribute to glioma susceptibility.
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Affiliation(s)
- J N Zhang
- Operation Room, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai, P.R. China
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