BACKGROUND: The TP53 rs1042522 polymorphism (c.215C>G, Arg72Pro) has been extensively investigated as a potential risk factor for colorectal cancer, but the results have thus far been inconclusive. METHODS: We searched multiple electronic databases to identify studies investigating the association between the Arg72Pro polymorphism and colorectal cancer. Individual study odds ratios (OR) and their confidence intervals were estimated using allele-frequency, recessive, and dominant genetic models. Summary ORs where estimated using random effects models. RESULTS: We identified 23 eligible case-control studies, investigating 6,514 cases and 9,334 controls. There was significant between-study heterogeneity for all genetic models. The control group in one of the studies was not in Hardy-Weinberg equilibrium; only three studies reported that genotyping was blinded to case/control status and five studies used tumor tissue for case genotyping. Overall, we did not identify any association between rs1042522 and colorectal cancer risk under an allele-frequency comparison (OR, 0.99; 95% confidence interval, 0.89-1.09). Likewise, no association was evident under dominant or recessive models. Studies using tumor tissue for case genotyping found a protective effect for the Pro allele, compared with studies using somatic DNA (P(interaction) = 0.03). Results were also inconsistent between different genotyping methods (P(interaction) = 0.03). CONCLUSION: We did not identify an association between TP53 rs1042522 and colorectal cancer. Published results seem to be driven by technical artifacts rather than true biological effects. IMPACT: Future genetic association studies should use more rigorous genotyping methods and avoid the use of tumor tissue as a source of DNA to prevent genotype misclassification due to loss of heterozygosity.
BACKGROUND: The TP53rs1042522 polymorphism (c.215C>G, Arg72Pro) has been extensively investigated as a potential risk factor for colorectal cancer, but the results have thus far been inconclusive. METHODS: We searched multiple electronic databases to identify studies investigating the association between the Arg72Pro polymorphism and colorectal cancer. Individual study odds ratios (OR) and their confidence intervals were estimated using allele-frequency, recessive, and dominant genetic models. Summary ORs where estimated using random effects models. RESULTS: We identified 23 eligible case-control studies, investigating 6,514 cases and 9,334 controls. There was significant between-study heterogeneity for all genetic models. The control group in one of the studies was not in Hardy-Weinberg equilibrium; only three studies reported that genotyping was blinded to case/control status and five studies used tumor tissue for case genotyping. Overall, we did not identify any association between rs1042522 and colorectal cancer risk under an allele-frequency comparison (OR, 0.99; 95% confidence interval, 0.89-1.09). Likewise, no association was evident under dominant or recessive models. Studies using tumor tissue for case genotyping found a protective effect for the Pro allele, compared with studies using somatic DNA (P(interaction) = 0.03). Results were also inconsistent between different genotyping methods (P(interaction) = 0.03). CONCLUSION: We did not identify an association between TP53rs1042522 and colorectal cancer. Published results seem to be driven by technical artifacts rather than true biological effects. IMPACT: Future genetic association studies should use more rigorous genotyping methods and avoid the use of tumor tissue as a source of DNA to prevent genotype misclassification due to loss of heterozygosity.
Authors: Mohd Nizam Zahary; Abdul Aziz Ahmad Aizat; Gurjeet Kaur; Lee Yeong Yeh; Maya Mazuwin; Ravindran Ankathil Journal: Oncol Lett Date: 2015-09-18 Impact factor: 2.967
Authors: Issa J Dahabreh; Christopher H Schmid; Joseph Lau; Vasileia Varvarigou; Samuel Murray; Thomas A Trikalinos Journal: Am J Epidemiol Date: 2013-05-31 Impact factor: 4.897
Authors: Zahra Montazeri; Evropi Theodoratou; Christine Nyiraneza; Maria Timofeeva; Wanjing Chen; Victoria Svinti; Shanya Sivakumaran; Gillian Gresham; Laura Cubitt; Luis Carvajal-Carmona; Monica M Bertagnolli; Ann G Zauber; Ian Tomlinson; Susan M Farrington; Malcolm G Dunlop; Harry Campbell; Julian Little Journal: Int J Epidemiol Date: 2015-10-07 Impact factor: 7.196
Authors: Ian P M Tomlinson; Richard S Houlston; Grant W Montgomery; Oliver M Sieber; Malcolm G Dunlop Journal: Mutagenesis Date: 2012-03 Impact factor: 3.000