Literature DB >> 12907612

Insulin-like growth factor-binding protein-3 gene -202 A/C polymorphism is correlated with advanced disease status in prostate cancer.

Lizhong Wang1, Tomonori Habuchi, Norihiko Tsuchiya, Kenji Mitsumori, Chikara Ohyama, Kazunari Sato, Hidehumi Kinoshita, Toshiyuki Kamoto, Akira Nakamura, Osamu Ogawa, Tetsuro Kato.   

Abstract

The circulating level of insulin-like growth factor-binding protein-3 (IGFBP-3) is inversely associated with the risk of prostate cancer (PCa) and its progression and may be modulated by the A/C polymorphism at position -202 in the promoter region of IGFBP-3. This study was conducted to evaluate the role of the A/C polymorphism as a genetic modifier in the etiology of PCa and its disease status. The polymorphism was analyzed by a PCR restriction fragment-length polymorphism technique in 307 PCa patients, 221 benign prostatic hyperplasia (BPH) patients, and 227 male controls. No significant difference in the genotype frequency was found between the PCa or BPH patients and controls (PCa versus control, P = 0.316; BPH versus control, P = 0.964). Regarding the tumor stage, the C allele was more frequently observed in patients having tumors with higher stage (P for trend = 0.002). When the PCa patients with localized disease (stage A + B + C) were considered as reference, those with CC and AC genotype had a significantly increased risk of metastatic disease (stage D) compared with those with AA genotype [age-adjusted odds ratio (aOR) = 3.89, 95% confidence interval (CI) = 1.42-10.64, P = 0.008, and aOR = 1.68, 95% CI = 1.01-2.79, P = 0.044, respectively]. The presence of the C allele appeared to be associated with an increased risk of metastatic PCa with a gene dosage effect (aOR = 1.82, 95% CI = 1.23-2.68, P = 0.002). Similarly, significant findings were also observed when PCa patients were compared between those with organ-confined disease (stage A + B) and those with extra-prostatic extension (stage C + D). Furthermore, the C allele was present more frequently in patients with higher tumor grade. In conclusion, the IGFBP-3 -202 A/C polymorphism was not associated with susceptibility to PCa and BPH in Japanese men, but the presence of the C allele may cumulatively increase the risk for tumor metastasis and for having tumors with a biologically more aggressive phenotype. Because of the significant differences in incidence of clinically evident PCa according to racial backgrounds, the conjecture should be further examined in different racial populations.

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Year:  2003        PMID: 12907612

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  17 in total

1.  IGFBP3 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Li Li; Xin Huang; Keke Huo
Journal:  Mol Biol Rep       Date:  2009-05-18       Impact factor: 2.316

2.  IGFBP-3 is a metastasis suppression gene in prostate cancer.

Authors:  Hemal H Mehta; Qinglei Gao; Colette Galet; Vladislava Paharkova; Junxiang Wan; Jonathan Said; Joanne J Sohn; Gregory Lawson; Pinchas Cohen; Laura J Cobb; Kuk-Wha Lee
Journal:  Cancer Res       Date:  2011-06-22       Impact factor: 12.701

3.  Phenotypes and genotypes of insulin-like growth factor 1, IGF-binding protein-3 and cancer risk: evidence from 96 studies.

Authors:  Wensen Chen; Sumin Wang; Tian Tian; Jianling Bai; Zhibin Hu; Yan Xu; Jing Dong; Feng Chen; Xinru Wang; Hongbing Shen
Journal:  Eur J Hum Genet       Date:  2009-06-03       Impact factor: 4.246

4.  Grade-specific prostate cancer associations of IGF1 (CA)19 repeats and IGFBP3-202A/C in blacks and whites.

Authors:  Cathrine Hoyo; Janet Grubber; Wendy Demark-Wahnefried; Jeffrey R Marks; Stephen J Freedland; Amy S Jeffreys; Steven C Grambow; Robert M Wenham; Philip J Walther; Joellen M Schildkraut
Journal:  J Natl Med Assoc       Date:  2007-07       Impact factor: 1.798

5.  Pleiotropy between genetic markers of obesity and risk of prostate cancer.

Authors:  Todd L Edwards; Ayush Giri; Saundra Motley; Wynne Duong; Jay H Fowke
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-06-27       Impact factor: 4.254

Review 6.  Unraveling insulin-like growth factor binding protein-3 actions in human disease.

Authors:  Sherryline Jogie-Brahim; David Feldman; Youngman Oh
Journal:  Endocr Rev       Date:  2009-05-28       Impact factor: 19.871

7.  Obesity, body composition, and prostate cancer.

Authors:  Jay H Fowke; Saundra S Motley; Raoul S Concepcion; David F Penson; Daniel A Barocas
Journal:  BMC Cancer       Date:  2012-01-18       Impact factor: 4.430

8.  Smoking, green tea consumption, genetic polymorphisms in the insulin-like growth factors and lung cancer risk.

Authors:  I-Hsin Lin; Ming-Lin Ho; Hsuan-Yu Chen; Hong-Shen Lee; Chia-Chen Huang; Yin-Hung Chu; Shiau-Yun Lin; Ya-Ru Deng; Yu-Hao He; Yu-Hui Lien; Chi-Wen Hsu; Ruey-Hong Wong
Journal:  PLoS One       Date:  2012-02-07       Impact factor: 3.240

9.  Polymorphisms of genes coding for insulin-like growth factor 1 and its major binding proteins, circulating levels of IGF-I and IGFBP-3 and breast cancer risk: results from the EPIC study.

Authors:  F Canzian; J D McKay; R J Cleveland; L Dossus; C Biessy; S Rinaldi; S Landi; C Boillot; S Monnier; V Chajès; F Clavel-Chapelon; B Téhard; J Chang-Claude; J Linseisen; P H Lahmann; T Pischon; D Trichopoulos; A Trichopoulou; D Zilis; D Palli; R Tumino; P Vineis; F Berrino; H B Bueno-de-Mesquita; C H van Gils; P H M Peeters; G Pera; E Ardanaz; M-D Chirlaque; J R Quirós; N Larrañaga; C Martínez-García; N E Allen; T J Key; S A Bingham; K-T Khaw; N Slimani; T Norat; E Riboli; R Kaaks
Journal:  Br J Cancer       Date:  2006-01-30       Impact factor: 7.640

Review 10.  Systematic review and meta-analysis of candidate gene association studies of lower urinary tract symptoms in men.

Authors:  Rufus Cartwright; Altaf Mangera; Kari A O Tikkinen; Prabhakar Rajan; Jori Pesonen; Anna C Kirby; Ganesh Thiagamoorthy; Chris Ambrose; Juan Gonzalez-Maffe; Phillip R Bennett; Tom Palmer; Andrew Walley; Marjo-Riitta Järvelin; Vik Khullar; Chris Chapple
Journal:  Eur Urol       Date:  2014-01-22       Impact factor: 20.096

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