Literature DB >> 20822933

Are cell cycle and apoptosis genes associated with prostate cancer risk in North Indian population?

Raju Kumar Mandal1, Rama Devi Mittal.   

Abstract

OBJECTIVE: Prostate cancer (CaP) is a heterogeneous, multifactorial, and multifocal disease. Therefore, the search for a combination of functional polymorphisms using cell cycle and apoptotic genes as tumor markers is fundamental for a more precise and reliable diagnosis. In the present study, we investigated the diagnostic value of 3 different genes associated with CaP carcinogenesis, encoding for cell cycle (MDM2, CCND1) and apoptotic (Fas) genes that are differentially expressed in CaP.
METHODS: In a hospital-based case control study of northern India, blood samples were obtained from 192 CaP patients and 224 cancer-free age matched unrelated healthy controls of similar ethnicity. They were genotyped for MDM2 G309T, CCND1 G870A, Fas A670G, and G1377A polymorphisms using polymerase chain restriction fragment length polymorphism (PCR-RFLP) method.
RESULTS: MDM2 309GG variant was at reduced risk for developing CaP (P = 0.041; OR, 0.59). Whereas CCND1 AA genotype demonstrated increased risk (P = 0.018; OR, 1.86). The diplotype analysis of Fas G670A and G1377A (G-A) was observed to be associated with a significant increase in CaP risk (P = 0.024; OR, 1.63).
CONCLUSION: Findings based on current sample size our results suggested a positive association of CCND1AA genotype and diplotype analysis of Fas G670A and G1377A (G-A) to be associated with CaP risk that could influence the pathophysiology, thereby modulating the risk of CaP.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20822933     DOI: 10.1016/j.urolonc.2010.05.006

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


  13 in total

1.  Significant association among the Fas -670 A/G (rs1800682) polymorphism and esophageal cancer, hepatocellular carcinoma, and prostate cancer susceptibility: a meta-analysis.

Authors:  Tao Liu; Li Zuo; Lin Li; Lei Yin; Kai Liang; Hongyuan Yu; Hui Ren; Wen Zhou; Hongwei Jing; Yang Liu; Chuize Kong
Journal:  Tumour Biol       Date:  2014-08-02

2.  The risks, degree of malignancy and clinical progression of prostate cancer associated with the MDM2 T309G polymorphism: a meta-analysis.

Authors:  Jie Yang; Wen Gao; Ning-Hong Song; Wei Wang; Jie-Xiu Zhang; Pei Lu; Li-Xin Hua; Min Gu
Journal:  Asian J Androl       Date:  2012-08-20       Impact factor: 3.285

3.  Association of promoter polymorphisms of Fas -FasL genes with development of Chronic Myeloid Leukemia.

Authors:  Prajitha Mohandas Edathara; Manjula Gorre; Sailaja Kagita; Sugunakar Vuree; Anuradha Cingeetham; Santhoshi Rani Nanchari; Phanni Bhushann Meka; Sandhya Annamaneni; Raghunadha Rao Digumarthi; Vishnupriya Satti
Journal:  Tumour Biol       Date:  2015-11-13

4.  CCND1 G870A polymorphism and colorectal cancer risk: An updated meta-analysis.

Authors:  Xiao-Ming Xu; Xiao-Bing Ni; Gong-Li Yang; Zhi-Guo Luo; Yu-Ming Niu; Ming Shen
Journal:  Mol Clin Oncol       Date:  2016-04-04

5.  GLAD4U: deriving and prioritizing gene lists from PubMed literature.

Authors:  Jérôme Jourquin; Dexter Duncan; Zhiao Shi; Bing Zhang
Journal:  BMC Genomics       Date:  2012-12-17       Impact factor: 3.969

6.  CD95 rs1800682A/G variant and tumor risk in Asians: evidence from a meta-analysis of 36 case-control studies containing 22,438 samples.

Authors:  Cheng Jin; Xiaomin Wu; Yuanlong Gu; Fenglai Yuan; Qinghai Ye; Feng Dai; Lijie Zhu; Yuanyuan Mi
Journal:  Med Sci Monit       Date:  2015-02-27

7.  Effect of the CCND1 A870G polymorphism on prostate cancer risk: a meta-analysis of 3,820 cases and 3,825 controls.

Authors:  Min Zheng; Lijun Wan; Xiang He; Xiaolong Qi; Feng Liu; Da-Hong Zhang
Journal:  World J Surg Oncol       Date:  2015-02-15       Impact factor: 2.754

Review 8.  FAS-1377 G/A (rs2234767) polymorphism and cancer susceptibility: a meta-analysis of 17,858 cases and 24,311 controls.

Authors:  Zhou Zhong-Xing; Mi Yuan-Yuan; Ma Hai Zhen; Zou Jian-Gang; Zhang Li-Feng
Journal:  PLoS One       Date:  2013-08-27       Impact factor: 3.240

9.  ProSim: A Method for Prioritizing Disease Genes Based on Protein Proximity and Disease Similarity.

Authors:  Gamage Upeksha Ganegoda; Yu Sheng; Jianxin Wang
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

Review 10.  Association of the polymorphisms in the Fas/FasL promoter regions with cancer susceptibility: a systematic review and meta-analysis of 52 studies.

Authors:  Yeqiong Xu; Bangshun He; Rui Li; Yuqin Pan; Tianyi Gao; Qiwen Deng; Huiling Sun; Guoqi Song; Shukui Wang
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

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