Literature DB >> 28783191

Effect of ageing and single nucleotide polymorphisms associated with the risk of aggressive prostate cancer in a New Zealand population.

Venkatesh Vaidyanathan1, Vijay Naidu, Nishi Karunasinghe, Chi Hsiu-Juei Kao, Radha Pallati, Anower Jabed, Gareth Marlow, Prasanna Kallingappa, Lynnette R Ferguson.   

Abstract

Prostate cancer is one of the most significant male health concerns worldwide, and various researchers carrying out molecular diagnostics have indicated that genetic interactions with biological and behavioral factors play an important role in the overall risk and prognosis of this disease. Single nucleotide polymorphisms are increasingly becoming strong biomarker candidates to identify the susceptibility of individuals to prostate cancer. We carried out risk association of different stages of prostate cancer to a number of single nucleotide polymorphisms to identify the susceptible alleles in a New Zealand population and checked the interaction with environmental factors as well. We identified a number of single nucleotide polymorphisms to have associations specifically to the risk of prostate cancer and aggressiveness of the disease, and also certain single nucleotide polymorphisms to be vulnerable to the reported behavioral factors. We have addressed "special" environmental conditions prevalent in New Zealand, which can be used as a model for a bigger worldwide study.

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Year:  2017        PMID: 28783191     DOI: 10.1039/c7mb00203c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  2 in total

1.  Interaction between leukocyte aldo-keto reductase 1C3 activity, genotypes, biological, lifestyle and clinical features in a prostate cancer cohort from New Zealand.

Authors:  Nishi Karunasinghe; Eva Symes; Amy Gamage; Alice Wang; Pam Murray; Shuotun Zhu; Megan Goudie; Jonathan Masters; Lynnette R Ferguson
Journal:  PLoS One       Date:  2019-05-24       Impact factor: 3.240

2.  Association between lncRNA GAS5, MEG3, and PCAT-1 Polymorphisms and Cancer Risk: A Meta-Analysis.

Authors:  Xiaoyan Dong; Wenyan Gao; Xiaoling Lv; Yazhen Wang; Qing Wu; Zhouxin Yang; Genxiang Mao; Wenmin Xing
Journal:  Dis Markers       Date:  2020-03-28       Impact factor: 3.434

  2 in total

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