Literature DB >> 19576798

Despite the lack of association between different genotypes and the presence of prostate cancer, endothelial nitric oxide synthase a/b (eNOS4a/b) polymorphism may be associated with advanced clinical stage and bone metastasis.

Oner Sanli1, Canan Kucukgergin, Murat Gokpinar, Tzevat Tefik, Ismet Nane, Sule Seckin.   

Abstract

OBJECTIVES: To investigate the relationship between the distribution of endothelial NO synthase (eNOS4a/b) gene polymorphism and clinical features of prostate cancer (PCa). METHODS AND MATERIALS: One hundred thirty-two patients with PCa (mean age 64.10 ± 7.23 years) and 158 healthy controls (mean age 62.50 ± 7.53 years) with normal serum total prostate specific antigen (PSA) levels (<4 ng/ml) and digital rectal examinations (DRE) were enrolled in this prospectively designed study. PCa patients were classified as clinical T1 and T2 stages (Group 1), clinical T3 and T4 stages without bone metastasis (Group 2), and patients with bone metastasis (Group 3). Genotypes (aa, bb, ab) for eNOS4a/b gene polymorphisms were identified by polymerase chain reaction analysis. Meanwhile, plasma nitrate and nitrite levels (NO(x)) were used to estimate the amounts of endogenous NO formation for both groups of patients.
RESULTS: Despite lack of statistically significant differences between PCa patients and the control group in terms of distribution of genotypes and frequency of alleles, plasma NO(x) levels were found to be significantly increased in PCa patients compared with controls. Meanwhile, there was no significant difference between the group of PCa patients with high and low grade tumors (Gleason score ≥ 7 vs. < 7) in terms of genotype (aa + ab genotypes or a-allele vs. bb genotype) distribution. However, bb genotype was observed to be present at a higher frequency (85.1% vs. 60%) in Group 1; whereas a-allele was more frequent in Group 2 (13.3% vs. 5.7%) and Group 3 (26.7 vs. 9.2). In addition, patients with a-allele had a 3.79-fold risk of having advanced disease and bone metastasis in comparison with bb genotype. Moreover, multivariable logistic regression analysis revealed that eNOS4a/b polymorphism and plasma NOx levels were predictive factors for developing bone metastasis and high stage disease after adjustment for age and BMI.
CONCLUSIONS: Our data did not reveal any relationship between any of these genotypes and the presence of PCa. However, the finding that PCa patients with bb genotype generally manifest localized disease and develop bone metastasis less frequently in comparison patients with a-allele may indicate an important role for this polymorphism in the molecular pathophysiology of PCa.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19576798     DOI: 10.1016/j.urolonc.2009.04.011

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  4 in total

1.  Genetic variants within endothelial nitric oxide synthase gene and prostate cancer: a meta-analysis.

Authors:  Zorana Z Nikolić; Dušanka Lj Savić Pavićević; Stanka P Romac; Goran N Brajušković
Journal:  Clin Transl Sci       Date:  2014-08-27       Impact factor: 4.689

Review 2.  Gasotransmitters in the tumor microenvironment: Impacts on cancer chemotherapy (Review).

Authors:  Abbas Salihi; Mohammed A Al-Naqshabandi; Zhikal Omar Khudhur; Zjwan Housein; Harmand A Hama; Ramyar M Abdullah; Bashdar Mahmud Hussen; Twana Alkasalias
Journal:  Mol Med Rep       Date:  2022-05-26       Impact factor: 3.423

3.  eNOS Genetic Polymorphisms and Cancer Risk: A Meta-Analysis and a Case-Control Study of Breast Cancer.

Authors:  Xueren Gao; Jie Wang; Wenjun Wang; Mingxi Wang; Jianqiong Zhang
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.889

4.  Association Between 12 Polymorphisms of VEGF/Hypoxia/Angiogenesis Pathway Genes and Risk of Urogenital Carcinomas: A Meta-Analysis Based on Case-Control Studies.

Authors:  Jin-Bo Chen; Meng Zhang; Yu Cui; Pei-Hua Liu; Yan-Wei Qi; Chao Li; Xu Cheng; Wen-Biao Ren; Qia-Qia Li; Long-Fei Liu; Min-Feng Chen; He-Qun Chen; Xiong-Bing Zu
Journal:  Front Physiol       Date:  2018-06-11       Impact factor: 4.566

  4 in total

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