Abstract

Abstract Background: Genetic alterations can contribute to the malignant transformation and progression of prostate cancer. We have previously shown a strong association between specific leptin gene alleles, elevated serum leptin level, and body mass index in subjects with prostate and breast cancer. These studies showing association with leptin suggest a strong link with obesity as an increased risk factor. Studies have shown that adipose tissue TNFa and leptin, which are both overexpressed in obesity, induces the production of acute phase reactants through their autocrine or endocrine role. When GSTP1 is inactivated, prostate cells appear to become more vulnerable to somatic alterations upon chronic exposure to genome-damaging stresses such as oxidants and electrophiles that are contributed by environment and lifestyle. Studies also show that the methylation status of glutathione S-transferase p1 (GSTP1) could individually distinguish prostate cancer from benign prostatic hyperplasia. Based on prior studies, it is possible that multi gene analysis can provide better diagnostic or prognostic values for prostate cancer. Methods: In this study, we screened leptin gene markers, TNFa, GSTP1 and BCCIP(TOK-1A) in 126 prostate cancer and normal healthy age & sex matched controls (Prostate cases: Age range 45-94, Mean age 73.3 Control males: Age range 65-98, Mean age 73.5). Polymerase chain reaction was used to amplify Leptin, TNF-308 and GSTP1 genes and the products are analyzed using 3130 Genetic analyzer and PCR-RFLP methods. Statistical analysis was performed using the SPSS/PC statistical program (version 10.0 for Windows; SPSS, Inc.,Chicago, IL). Relationships between two groups and genotype variables were assessed by Pearson's correlation coefficient. Conclusions: Prostate cancer is a complex, heterogeneous disease and there a variety of gene-based biomarkers that have been associated with prostate cancer. Our results show strong association of leptin (p<0.006), GSTP1 (p<0.023) with prostate cancer. Individually TNF and BCCIP showed a modest association but TNF/BCCIP gene interaction had a significant effect on prostate cancer risk and disease progression suggesting a multigene model for prostate cancer screening. Citation Format: Radhika G. Andavolu, Jean-Luc Cardenas, Ross Shore, Zach Rubin, James MacMurray, Krishna Kanth Chiravuri, Murthy VS Andavolu, Svetlana Rubakovic. Association of genetic variants with prostate cancer risk. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1932. doi:10.1158/1538-7445.AM2013-1932

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