Literature DB >> 21778786

P53 codon 72 (Arg72Pro) polymorphism and prostate cancer risk: association between disease onset and proline genotype.

Anja Rogler1, Michael Rogenhofer, Albert Borchardt, Jens-Claudio Lunz, Antje Knoell, Ferdinand Hofstaedter, Andrea Tannapfel, Wolf Wieland, Arndt Hartmann, Robert Stoehr.   

Abstract

The tumor suppressor gene p53 plays an important role in the stress response of the cell and is mutated in 50% of all human tumors. The p53 Arg72Pro single-nucleotide polymorphism (SNP) was found to be associated with an increased risk of various malignancies. Biochemical and biological differences between the 2 polymorphic variants of wild-type P53 might lead to distinct susceptibility to HPV- and non-HPV-induced tumors. For prostate cancer, only limited data are available, especially in the Caucasian population. Therefore, we determined the distribution of the Arg72Pro SNP in a Caucasian case-control study including 118 prostate cancer patients and 194 male controls without any malignancy using restriction fragment length polymorphism analysis. A subset of 33 tumors was tested for HPV infection, and no HPV DNA was found. Cases and controls showed similar distributions of alleles in the SNP (p = 0.720). Regarding the onset of the disease, patients diagnosed at ≤60 years of age and older patients (>60 years of age) showed a significant difference in genotype distribution (p = 0.035); there was also an increased occurrence of risk allele Pro72 in cases aged ≤60 years (p = 0.045). A subset of 64 prostate tumors was stained immunohistochemically for P53. 5 of 64 prostate tumors (7.8%) were positive for P53 expression, indicating integrity of the protein in the majority of cases. Genotype distribution showed no association with the Gleason score or additional histopathological characteristics. This study shows that the overall risk of prostate cancer was not associated with Arg72Pro SNP and HPV infection in our cohort. However, disease onset might be modulated by the p53 Pro72 allele, suggesting an important role of apoptosis regulation in prostate carcinogenesis.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21778786     DOI: 10.1159/000326767

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  12 in total

Review 1.  Association of p53 codon 72 polymorphism with prostate cancer: an update meta-analysis.

Authors:  Yu Lu; Yanqiong Liu; Jie Zeng; Yu He; Qiliu Peng; Yan Deng; Jian Wang; Li Xie; Taijie Li; Xue Qin; Shan Li
Journal:  Tumour Biol       Date:  2014-02-01

2.  Infections and inflammation in prostate cancer.

Authors:  Karen S Sfanos; William B Isaacs; Angelo M De Marzo
Journal:  Am J Clin Exp Urol       Date:  2013-12-25

3.  Worldwide Prevalence of Human Papillomavirus and Relative Risk of Prostate Cancer: A Meta-analysis.

Authors:  Lin Yang; Shuanghua Xie; Xiaoshuang Feng; Yuheng Chen; Tongzhang Zheng; Min Dai; Cindy Ke Zhou; Zhibin Hu; Ni Li; Dong Hang
Journal:  Sci Rep       Date:  2015-10-06       Impact factor: 4.379

4.  MDM2 and P53 polymorphisms contribute together to the risk and survival of prostate cancer.

Authors:  Li Xue; Xiujuan Han; Rongrong Liu; Ziming Wang; Hecheng Li; Qi Chen; Peng Zhang; Zhenlong Wang; Tie Chong
Journal:  Oncotarget       Date:  2016-05-31

5.  Genetic alterations in benign prostatic hyperplasia patients.

Authors:  Hanaa Mahmoud Mohamed; Magdy Sayed Aly; Tarek Dardeer Hussein
Journal:  Ger Med Sci       Date:  2017-11-27

6.  Association between the rs1042522 polymorphism in TP53 and prostate cancer risk: An updated meta-analysis.

Authors:  Song Fan; Zong-Yao Hao; Meng Zhang; Chao-Zhao Liang
Journal:  Chronic Dis Transl Med       Date:  2017-05-25

7.  TP53 codon 72 Polymorphism and bladder cancer risk: a meta-analysis and emphasis on the role of tumor or smoking status.

Authors:  Lei Zhang; Yi Wang; Zhiqiang Qin; Ran Li; Rong Cong; Chengjian Ji; Xianghu Meng; Yamin Wang; Jiadong Xia; Ninghong Song
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

8.  Biomarkers in prostate cancer epidemiology.

Authors:  Mukesh Verma; Payal Patel; Mudit Verma
Journal:  Cancers (Basel)       Date:  2011-09-30       Impact factor: 6.639

9.  Is human papillomavirus associated with prostate cancer survival?

Authors:  Mariarosa Pascale; Danae Pracella; Renzo Barbazza; Barbara Marongiu; Enrico Roggero; Serena Bonin; Giorgio Stanta
Journal:  Dis Markers       Date:  2013-10-30       Impact factor: 3.434

Review 10.  Molecular pathways in prostate cancer.

Authors:  Evangelos Mazaris; Alexios Tsiotras
Journal:  Nephrourol Mon       Date:  2013-06-08
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