PURPOSE: A single nucleotide substitution of guanine to adenine (A) at base +316 in the ornithine decarboxylase (ODC) gene may be associated with greater ODC expression and increased tumor growth. ODC is induced by androgens in human prostatic epithelial cells, presumably via transcriptional activation of androgen receptor (AR) and also by nicotine. A nested case-control study was done to examine the association between this ODC genotype and prostate cancer risk, and whether it varies by AR gene CAG repeat length and smoking. MATERIALS AND METHODS: A total of 164 cases were matched to 2 controls each from a community based cohort. ODC and AR genotyping was performed using a TaqMan (PE Applied Biosystems, Foster City, California) based assay and automated fragment analysis, respectively. Conditional logistic regression was used to estimate the OR and 95% CI. RESULTS: The presence of the ODC A allele was not significantly associated with an increased risk of prostate cancer (OR 1.33, 95% CI 0.90 to 1.96). However, men who inherited at least 1 ODC A alleles and less than 22 AR CAG repeats were at twice the risk of prostate cancer compared with those with 2 guanine alleles and 22 or greater AR CAG repeats (OR 2.09, 95% CI 1.23 to 3.57). Smoking was associated with prostate cancer only in men carrying a least 1 ODC A allele (p interaction = 0.02). CONCLUSIONS: The ODC A allele was not associated with a statistically significant increased risk of prostate cancer. However, this association may vary according to the number of CAG repeats in the AR receptor and smoking status.
PURPOSE: A single nucleotide substitution of guanine to adenine (A) at base +316 in the ornithine decarboxylase (ODC) gene may be associated with greater ODC expression and increased tumor growth. ODC is induced by androgens in human prostatic epithelial cells, presumably via transcriptional activation of androgen receptor (AR) and also by nicotine. A nested case-control study was done to examine the association between this ODC genotype and prostate cancer risk, and whether it varies by AR gene CAG repeat length and smoking. MATERIALS AND METHODS: A total of 164 cases were matched to 2 controls each from a community based cohort. ODC and AR genotyping was performed using a TaqMan (PE Applied Biosystems, Foster City, California) based assay and automated fragment analysis, respectively. Conditional logistic regression was used to estimate the OR and 95% CI. RESULTS: The presence of the ODC A allele was not significantly associated with an increased risk of prostate cancer (OR 1.33, 95% CI 0.90 to 1.96). However, men who inherited at least 1 ODC A alleles and less than 22 AR CAG repeats were at twice the risk of prostate cancer compared with those with 2 guanine alleles and 22 or greater AR CAG repeats (OR 2.09, 95% CI 1.23 to 3.57). Smoking was associated with prostate cancer only in men carrying a least 1 ODC A allele (p interaction = 0.02). CONCLUSIONS: The ODC A allele was not associated with a statistically significant increased risk of prostate cancer. However, this association may vary according to the number of CAG repeats in the AR receptor and smoking status.
Authors: Jason A Zell; Argyrios Ziogas; Natalia Ignatenko; Jane Honda; Ning Qu; Alexander S Bobbs; Susan L Neuhausen; Eugene W Gerner; Hoda Anton-Culver Journal: Clin Cancer Res Date: 2009-09-29 Impact factor: 12.531
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Authors: Anne R Simoneau; Eugene W Gerner; Ray Nagle; Argyrios Ziogas; Sharon Fujikawa-Brooks; Hagit Yerushalmi; Thomas E Ahlering; Ronald Lieberman; Christine E McLaren; Hoda Anton-Culver; Frank L Meyskens Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-02 Impact factor: 4.254
Authors: Giselle L Saulnier Sholler; Eugene W Gerner; Genevieve Bergendahl; Robert B MacArthur; Alyssa VanderWerff; Takamaru Ashikaga; Jeffrey P Bond; William Ferguson; William Roberts; Randal K Wada; Don Eslin; Jacqueline M Kraveka; Joel Kaplan; Deanna Mitchell; Nehal S Parikh; Kathleen Neville; Leonard Sender; Timothy Higgins; Masao Kawakita; Kyoko Hiramatsu; Shun-Suke Moriya; André S Bachmann Journal: PLoS One Date: 2015-05-27 Impact factor: 3.240