Polymorphisms in drug metabolism genes, smoking, andp53 mutations in breast cancer

Autor: Perrier, Nancy D., Van Emburgh, Beth O., Sawyer, Lynda R., Knight, Sommer N., Hu, Jennifer J., Sherrill, Gary B., Milikowski, Clara, Rubin, Peter, Carey, Lisa A., Willingham, Mark C., Shaw, Cindy S., Levine, Edward A., Mosley, Libyadda J., Case, L. Douglas, Lin, Hui-Yi, Allen, Glenn O., Miller, Mark Steven
Jazyk: angličtina
Rok vydání: 2008
DOI: 10.17615/gfsp-p545
Popis: Polymorphisms in phase I and phase II enzymes may enhance the occurrence of mutations at critical tumor suppressor genes, such as p53, and increase breast cancer risk by either increasing the activation or detoxification of carcinogens and/or endogenous estrogens. We analyzed polymorphisms in CYP1B1, GSTM1, GSTT1, and GSTP1 and p53 mutations in 323 breast tumor samples. Approximately 11% of patients exhibited mutations in p53. Women with mutations had a significantly younger age of diagnosis (P = 0.01) and a greater incidence of tumors classified as stage II or higher (P = 0.002). More women with mutations had a history of smoking (55%) compared to women without mutations (39%). Although none of the genotypes alone were associated with p53 mutations, positive smoking history was associated with p53 mutations in women with the GSTM1 null allele [OR = 3.54; 95% CI = 0.97–12.90 P = 0.06] compared to women with the wild-type genotype and smoking history [OR = 0.62, 95% CI = 0.19–2.07], although this association did not reach statistical significance. To test for gene–gene interactions, our exploratory analysis in the Caucasian cases suggested that individuals with the combined GSTP1 105 VV, CYP1B1 432 LV/VV, and GSTM1 positive genotype were more likely to harbor mutations in p53 [OR = 4.94; 95% CI = 1.11–22.06]. Our results suggest that gene–smoking and gene–gene interactions may impact the prevalence of p53 mutations in breast tumors. Elucidating the etiology of breast cancer as a consequence of common genetic polymorphisms and the genotoxic effects of smoking will enable us to improve the design of prevention strategies, such as lifestyle modifications, in genetically susceptible subpopulations.
Databáze: OpenAIRE