OBJECTIVES: To understand the relationship between the -202 A/C single-nucleotide polymorphism (SNP) of the insulin-like growth factor-binding protein 3 (IGFBP3) gene, IGFBP3 serum levels, and risk of prostate cancer (PCa) in a Korean population, as a potential reason for the lower incidence of PCa in the Korean population. METHODS: The IGFBP3 levels were measured and the -202 A/C SNP of the IGFBP3 gene was typed for 225 PCa cases and the same number of matched controls. Linear regression analysis and unconditional logistic regression analysis were used to test for the associations between the genotypes and the circulating IGFBP3 levels and the risk of PCa, respectively. To adjust for the potential bias introduced by the hospital cohort, the result of the genotyping was compared with that of 683 community-indwelling healthy men. RESULTS: Significantly lower plasma levels of IGFBP3 were noted in the PCa cases. Lower IGFBP3 plasma levels were associated with an increased number of C alleles (P<.001). Compared with the PCa cases, a lower frequency of the C allele was found in the hospital and community controls (P<.05). Compared with AA genotype, logistic regression analysis revealed an increased risk of PCa in subjects who were CC genotype (odds ratio: 2.39, 95% confidence interval: 1.05-5.48). Larger odds (odds ratio: 3.37, 95% confidence interval: 1.35-8.43) for PCa were associated with CC genotype when the analysis was confined to those who had high-risk PCa. CONCLUSIONS: The results supported the protective role of -202 A/C SNP of the IGFBP3 gene against PCa in Korean men. Copyright (c) 2010 Elsevier Inc. All rights reserved.
OBJECTIVES: To understand the relationship between the -202 A/C single-nucleotide polymorphism (SNP) of the insulin-like growth factor-binding protein 3 (IGFBP3) gene, IGFBP3 serum levels, and risk of prostate cancer (PCa) in a Korean population, as a potential reason for the lower incidence of PCa in the Korean population. METHODS: The IGFBP3 levels were measured and the -202 A/C SNP of the IGFBP3 gene was typed for 225 PCa cases and the same number of matched controls. Linear regression analysis and unconditional logistic regression analysis were used to test for the associations between the genotypes and the circulating IGFBP3 levels and the risk of PCa, respectively. To adjust for the potential bias introduced by the hospital cohort, the result of the genotyping was compared with that of 683 community-indwelling healthy men. RESULTS: Significantly lower plasma levels of IGFBP3 were noted in the PCa cases. Lower IGFBP3 plasma levels were associated with an increased number of C alleles (P<.001). Compared with the PCa cases, a lower frequency of the C allele was found in the hospital and community controls (P<.05). Compared with AA genotype, logistic regression analysis revealed an increased risk of PCa in subjects who were CC genotype (odds ratio: 2.39, 95% confidence interval: 1.05-5.48). Larger odds (odds ratio: 3.37, 95% confidence interval: 1.35-8.43) for PCa were associated with CC genotype when the analysis was confined to those who had high-risk PCa. CONCLUSIONS: The results supported the protective role of -202 A/C SNP of the IGFBP3 gene against PCa in Korean men. Copyright (c) 2010 Elsevier Inc. All rights reserved.
Authors: Sean Harrison; Rosie Lennon; Jeff Holly; Julian P T Higgins; Mike Gardner; Claire Perks; Tom Gaunt; Vanessa Tan; Cath Borwick; Pauline Emmet; Mona Jeffreys; Kate Northstone; Sabina Rinaldi; Stephen Thomas; Suzanne D Turner; Anna Pease; Vicky Vilenchick; Richard M Martin; Sarah J Lewis Journal: Cancer Causes Control Date: 2017-03-30 Impact factor: 2.506
Authors: Carolina Bonilla; Sarah J Lewis; Mari-Anne Rowlands; Tom R Gaunt; George Davey Smith; David Gunnell; Tom Palmer; Jenny L Donovan; Freddie C Hamdy; David E Neal; Rosalind Eeles; Doug Easton; Zsofia Kote-Jarai; Ali Amin Al Olama; Sara Benlloch; Kenneth Muir; Graham G Giles; Fredrik Wiklund; Henrik Grönberg; Christopher A Haiman; Johanna Schleutker; Børge G Nordestgaard; Ruth C Travis; Nora Pashayan; Kay-Tee Khaw; Janet L Stanford; William J Blot; Stephen Thibodeau; Christiane Maier; Adam S Kibel; Cezary Cybulski; Lisa Cannon-Albright; Hermann Brenner; Jong Park; Radka Kaneva; Jyotsna Batra; Manuel R Teixeira; Hardev Pandha; Mark Lathrop; Richard M Martin; Jeff M P Holly Journal: Int J Cancer Date: 2016-06-23 Impact factor: 7.396