Lack of Association of the TP53BP1 Glu353Asp Polymorphism with Risk of Cancer: A Systematic Review and Meta-Analysis

PLOS ONE, Mar 2014

Objective The TP53BP1 gene may be involved in the development of cancer through disrupting DNA repair. However, studies investigating the relationship between TP53BP1 Glu353Asp (rs560191) polymorphism and cancer yielded contradictory and inconclusive outcomes. In order to realize these ambiguous findings, a meta-analysis was performed to assess the association between the TP53BP1 Glu353Asp (rs560191) polymorphism and susceptibility to cancer. Methods We conducted a search of all English reports on studies for the association between the TP53BP1 Asp353Glu (rs560191) polymorphism and susceptibility to cancer using Medline, the Cochrane Library, EMbase, Web of Science, Google (scholar), and all Chinese reports were identified manually and on-line using CBMDisc, Chongqing VIP database, and CNKI database. The strict selection criteria and exclusion criteria were determined, and odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. The fixed or random effect model was selected based on the heterogeneity test among studies. Publication bias was estimated using funnel plots and Egger’s regression test. Results A total of seven studies were included in the meta-analysis including 3,213 cases and 3,849 controls. The results indicated that the Glu353Asp (rs560191) polymorphism in TP53BP1 gene had no association with cancer risk for all genetic models. In the subgroup analysis, the results suggested that Glu353Asp polymorphism was not associated with the risk of cancer according to ethnicity, cancer type, genotyping method, adjusted with control or not, HWE and quality score. Conclusions This meta-analysis suggested that the Glu353Asp (rs560191) polymorphism in TP53BP1 gene was not associated with risk of cancer.

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Lack of Association of the TP53BP1 Glu353Asp Polymorphism with Risk of Cancer: A Systematic Review and Meta-Analysis

et al. (2014) Lack of Association of the TP53BP1 Glu353Asp Polymorphism with Risk of Cancer: A Systematic Review and Meta-Analysis. PLoS ONE 9(3): e90931. doi:10.1371/journal.pone.0090931 Lack of Association of the TP53BP1 Glu353Asp Polymorphism with Risk of Cancer: A Systematic Review and Meta-Analysis Lei Liu 0 1 Jinghua Jiao 0 1 Yu Wang 0 1 Dong Zhang 0 1 Jingyang Wu 0 1 Desheng Huang 0 1 William B. Coleman, University of North Carolina School of Medicine, United States of America 0 Selection of Eligible Studies We searched Medline (US National Library of Medicine , Bethesda, MD), Embase, the Cochrane Library, Chinese Biolog- 1 1 Department of Ophthalmology, The First Affiliated Hospital, China Medical University , Shenyang City, Liaoning Province , China , 2 Department of Anesthesiology, Fengtian Hospital, Shenyang Medical College , Shenyang City, Liaoning Province , China , 3 Department of Development and Planning office, China Medical University , Shenyang City, Liaoning Province , China , 4 Department of General Surgery, the Fourth People's Hospital of Shenyang , Shenyang City, Liaoning Province , China , 5 Department of Epidemiology, School of Public Health, China Medical University , Shenyang City, Liaoning Province , China Objective: The TP53BP1 gene may be involved in the development of cancer through disrupting DNA repair. However, studies investigating the relationship between TP53BP1 Glu353Asp (rs560191) polymorphism and cancer yielded contradictory and inconclusive outcomes. In order to realize these ambiguous findings, a meta-analysis was performed to assess the association between the TP53BP1 Glu353Asp (rs560191) polymorphism and susceptibility to cancer. Methods: We conducted a search of all English reports on studies for the association between the TP53BP1 Asp353Glu (rs560191) polymorphism and susceptibility to cancer using Medline, the Cochrane Library, EMbase, Web of Science, Google (scholar), and all Chinese reports were identified manually and on-line using CBMDisc, Chongqing VIP database, and CNKI database. The strict selection criteria and exclusion criteria were determined, and odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. The fixed or random effect model was selected based on the heterogeneity test among studies. Publication bias was estimated using funnel plots and Egger's regression test. Results: A total of seven studies were included in the meta-analysis including 3,213 cases and 3,849 controls. The results indicated that the Glu353Asp (rs560191) polymorphism in TP53BP1 gene had no association with cancer risk for all genetic models. In the subgroup analysis, the results suggested that Glu353Asp polymorphism was not associated with the risk of cancer according to ethnicity, cancer type, genotyping method, adjusted with control or not, HWE and quality score. Conclusions: This meta-analysis suggested that the Glu353Asp (rs560191) polymorphism in TP53BP1 gene was not associated with risk of cancer. - Introduction Methods Paramete Source of cases Selected from population o rcancer registry No description Representativeness of controls Population-based Population-hospital mixed Hospital-based No description Diagnosis of cancer Histological or pathologically confirmed Patient medical record No description Specimens of cases for genotyping Peripheral blood or normal tissues Tumor tissues or exfoliated cells No description Quality control of genotyping Different genotyping assays confirmed the result Quality control by repeated assay No description Total sample size m b ty a i r o t le is en A 27 24 65 53 74 10 31 44 60 9 1 9 21 44 Selection Criteria Results Sensitivity Analysis According to sensitivity analysis, the results showed us that there was no substantial modification of our estimates after exclusion of individual studies, indicating that the results were stable (data not shown). Discussion ) AG A om l) I)C .111 + A d e n d % 4 a o R 5 .96 .8 GG .sv (r m O (9 0 (0 t n ) a I) 7 in le AG A d l)e C .01 m d + A e d % 7 G A (r m G A ix o R 5 .99 .8 G ) A m ) I) 0 2 .s o l C . 1 v d e n d % 0 G a o R 5 .98 .8 G (r m O (9 0 (0 G ) A I) 3 . l) C .1 1 sv ed ed % 6 G ix o R 5 .99 .8 G (f m O (9 0 (0 A ) A m ) I) 8 2 .s o l C . 1 v d e n d % 1 G a o R 5 .95 .7 G (r m O (9 0 (0 o o C m G (f m O 0 (0 G ix o R .96 .8 ) m ) I) 11 A o l C . .s d e 1 % 6 G (r m O (9 0 (0 .95 .8 .92 .5 .01 .8 0 (0 0 (0 1 (0 .95 .8 .94 .7 .01 .8 0 (0 0 (0 1 (0 .02 .8 .77 .3 .13 .7 1 (0 0 (0 1 (0 .02 .8 .90 .7 .11 .8 1 (0 0 (0 1 (0 .05 .8 .80 .4 .11 .7 1 (0 0 (0 1 (0 .05 .8 .89 .7 .10 .8 1 (0 0 (0 1 (0 .98 .7 .77 .2 .12 .6 0 (0 0 (0 1 (0 .97 .7 .88 .6 .06 .7 0 (0 0 (0 1 (0 .98 .8 .89 .5 .08 .8 0 (0 0 (0 1 (0 .98 .8 .94 .8 .03 .9 0 (0 0 (0 1 (0 2 A 4 A 4 A 3 A Supporting Information Checklist S1 PRISMA 2009 Checklist. Acknowledgments 1. Ferlay J , Shin HR , Bray F , Forman D , Mathers C , et al. ( 2010 ) Estimates of world wide burden of cancer in 2008: GLOBOCAN 2008 . Int J Cancer 127 : 2893 - 2917 . 2. Miwa S , Tome Y , Yano S , Hiroshima Y , Uehara F , et al. ( 2013 ) Single cell timelapse imaging of focus formation by the DNA damage-response protein 53BP1 after UVC irradiation of human pancreatic cancer cells . Anticancer Res 33 : 1373 - 1377 . 3. Williams RS , Green R , Glover JN ( 2001 ) Crystal structure of the BRCT repeat region from the breast cancer-associated protein BRCA1 . Nat Struct Biol 8 : 838 - 842 . 4. Naidu R , Har YC , Taib NA ( 2011 ) Genetic polymorphisms of TP53-binding protein 1 (TP53BP1) gene and association with breast cancer risk . APMIS 119 : 460 - 467 . 5. Chen K , Hu Z , Wang LE , Zhang W , El-Naggar AK , et al. ( 2007 ) Polymorphic TP53BP1 and TP53 gene interactions associated with risk of squamous cell carcinoma of the head and neck . Clin Cancer Res 13 : 4300 - 4305 . 6. Ma H , Hu Z , Zhai X , Wang S , Wang X , et al. ( 2006 ) Joint effects of single nucleotide polymorphisms in P53BP1 and p53 on breast cancer risk in a Chinese population . Carcinogenesis 27 : 766 - 771 . 7. Frank B , Hemminki K , Bermejo JL , Klaes R , Bugert P , et al. ( 2005 ) TP53- binding protein variants and breast cancer risk: a case-control study . Breast Cancer Res 7 : R502 - 505 . 8. Zhang H , Hao S , Zhao J , Zhou B , Ren Y , et al. ( 2013 ) Common Genetic Variants in 53BP1 Associated with Non-small Cell Lung Cancer Risk in Han Chinese . Arch Med Res doi: 10.1016/j .arcmed. 2013 .10.011. [Epub ahead of print]. 9. Oliveira S , Ribeiro J , Sousa H , Pinto D , Baldaque I , et al. ( 2012 ) Genetic polymorphisms and cervical cancer development: ATM G5557A and p53bp1 C1236G . Oncol Rep 27 : 1188 - 1192 . 10. Kiyohara C , Horiuchi T , Miyake Y , Takayama K , Nakanishi Y ( 2010 ) Cigarette smoking, TP53 Arg72Pro, TP53BP1 Asp353Glu and the risk of lung cancer in a Japanese population . Oncol Rep 23 : 1361 - 1368 . 11. Liu GY , Jiang DK , Shen SQ , Yu L ( 2011 ) MDM2 SNP309T. . G polymorphism with hepatocellular carcinoma risk: a meta-analysis . Arch Med Res 42 : 149 - 155 . 12. Camargo MC , Mera R , Correa P , Peek RM Jr, Fontham ET , et al. ( 2006 ) Interleukin-1 beta and interleukin-1 receptor antagonistgene polymorphisms and gastric cancer: a meta-analysis . Cancer Epidemiol Biomarkers Prev 15 : 1674 - 1687 . 13. Gao LB , Pan XM , Li LJ , Liang WB , Zhu Y , et al. ( 2011 ) RAD 51135G/C polymorphism and breast cancer risk: a meta-analysis from 21 studies . Breast Cancer Res Treat 125 : 827 - 835 . 14. Moher D , Liberati A , Tetzlaff J , Altman DG , The PRISMA Group ( 2009 ) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement . PLoS Med 6 : e1000097 . 15. DerSimonian R , Laird N ( 1986 ) Meta-analysis in clinical trials . Control Clin Trials 7 : 177 - 188 . 16. DerSimonian R , Kacker R ( 2007 ) Random-effects model for meta-analysis of clinical trials: an update . Contemp Clin Trials 28 : 105 - 114 . 17. Mantel N , Haenszel W ( 1959 ) Statistical aspects of the analysis of data from retrospective studies of disease . J Natl Cancer Inst 22 : 719 - 748 . 18. Egger M , Davey SG , Schneider M , Minder C ( 1997 ) Bias in meta-analysis detected by a simple, graphical test . BMJ 315 : 629 - 634 . 19. Haffty BG , Goyal S , Kulkarni D , Green C , Vazquez A , et al. ( 2011 ) Evaluation of single nucleotide polymorphisms (SNPs) in the p53 binding protein 1 (TP53BP1) gene in breast cancer patients treated with breast-conserving surgery and whole-breast irradiation (BCS+RT) . Int J Radiat Oncol Biol Phys 80 : 385 - 391 . 20. Weng Y , Lu L , Yuan G , Guo J , Zhang Z , et al. ( 2012 ) p53 codon 72 polymorphism and hematological cancer risk: an update meta-analysis . PLoS One 7 : e45820 . 21. Zhao L , Zhao X , Wu X , Tang W ( 2013 ) Association of p53 Arg72Pro polymorphism with esophageal cancer: a meta-analysis based on 14 case-control studies . Genet Test Mol Biomarkers 17 : 721 - 726 . 22. Rudd MF , Webb EL , Matakidou A , Sellick GS , Williams RD , et al. ( 2006 ) Variants in the GH-IGF axis confer susceptibility to lung cancer . Genome Res 16 : 693 - 701 . 23. Truong T , Sauter W , Mc Kay JD , Hosgood HD 3rd, Gallagher C , et al. ( 2010 ) International Lung Cancer Consortium: coordinated association study of 10 potential lung cancer susceptibility variants . Carcinogenesis 31 : 625 - 633 . 24. Brooks JD , Teraoka SN , Reiner AS , Satagopan JM , Bernstein L , et al. ( 2012 ) Variants in activators and downstream targets of ATM, radiation exposure, and contralateral breast cancer risk in the WECARE study . Hum Mutat 33 : 158 - 164 . 25. Timofeeva MN , Hung RJ , Rafnar T , Christiani DC , Field JK , et al. ( 2012 ) Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls . Hum Mol Genet 21 : 4980 - 4995 .


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Lei Liu, Jinghua Jiao, Yu Wang, Dong Zhang, Jingyang Wu, Desheng Huang. Lack of Association of the TP53BP1 Glu353Asp Polymorphism with Risk of Cancer: A Systematic Review and Meta-Analysis, PLOS ONE, 2014, DOI: 10.1371/journal.pone.0090931