Literature DB >> 27498138

Genetic variants in RNA-induced silencing complex genes and prostate cancer.

Z Nikolić1, D Savić Pavićević1, N Vučić1, S Cerović2, V Vukotić3, G Brajušković4.   

Abstract

PURPOSE: The purpose of this study is to evaluate the potential association between genetic variants in genes encoding the components of RNA-induced silencing complex and prostate cancer (PCa) risk. Genetic variants chosen for this study are rs3742330 in DICER1, rs4961280 in AGO2, rs784567 in TARBP2, rs7813 in GEMIN4 and rs197414 in GEMIN3.
METHODS: The study involved 355 PCa patients, 360 patients with benign prostatic hyperplasia and 318 healthy controls. For individuals diagnosed with PCa, clinicopathological characteristics including serum prostate-specific antigen level at diagnosis, Gleason score (GS) and clinical stage were determined. Genotyping was performed using high-resolution melting analysis, PCR-RFLP, TaqMan SNP Genotyping Assay and real-time PCR-based genotyping assay using specific probes. Allelic and genotypic associations were evaluated by unconditional linear and logistic regression methods.
RESULTS: The study provided no evidence of association between the analyzed genetic variants and PCa risk. Nevertheless, allele A of rs784567 was found to confer the reduced risk of higher serum PSA level at diagnosis (P = 0.046; Difference = -66.64, 95 % CI -131.93 to 1.35, for log-additive model). Furthermore, rs4961280, as well as rs3742330, were shown to be associated with GS. These variants, together with rs7813, were found to be associated with the lower clinical stage of PCa. Also, rs3742330 minor allele G was found to be associated with lower PCa aggressiveness (P = 0.036; OR 0.14, 95 % CI 0.023-1.22, for recessive model).
CONCLUSIONS: According to our data, rs3742330, rs4961280 and rs7813 qualify for potentially protective genetic variants against PCa progression. These variants were not shown to be associated with PCa risk.

Entities:  

Keywords:  Prostate cancer; rs197414; rs3742330; rs4961280; rs7813; rs784567

Mesh:

Substances:

Year:  2016        PMID: 27498138     DOI: 10.1007/s00345-016-1917-0

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  25 in total

Review 1.  MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship.

Authors:  Amy E Pasquinelli
Journal:  Nat Rev Genet       Date:  2012-03-13       Impact factor: 53.242

2.  The activity and expression of microRNAs in prostate cancers.

Authors:  XuPing Fu; ChenYi Xue; Yan Huang; Yi Xie; Yao Li
Journal:  Mol Biosyst       Date:  2010-10-19

3.  Human RISC couples microRNA biogenesis and posttranscriptional gene silencing.

Authors:  Richard I Gregory; Thimmaiah P Chendrimada; Neil Cooch; Ramin Shiekhattar
Journal:  Cell       Date:  2005-11-03       Impact factor: 41.582

4.  SNPStats: a web tool for the analysis of association studies.

Authors:  Xavier Solé; Elisabet Guinó; Joan Valls; Raquel Iniesta; Víctor Moreno
Journal:  Bioinformatics       Date:  2006-05-23       Impact factor: 6.937

Review 5.  MicroRNA in prostate cancer: Practical aspects.

Authors:  Pallavi A Patil; Cristina Magi-Galluzzi
Journal:  Histol Histopathol       Date:  2015-07-17       Impact factor: 2.303

Review 6.  Active surveillance for favorable-risk prostate cancer: background, patient selection, triggers for intervention, and outcomes.

Authors:  Laurence Klotz
Journal:  Curr Urol Rep       Date:  2012-04       Impact factor: 3.092

7.  Genetic variants in the microRNA machinery gene GEMIN4 are associated with risk of prostate cancer: a case-control study of the Chinese Han population.

Authors:  Jiaming Liu; Jinnan Liu; Mingtian Wei; Yazhou He; Banghua Liao; Ga Liao; Hong Li; Jin Huang
Journal:  DNA Cell Biol       Date:  2012-04-16       Impact factor: 3.311

8.  Down-regulation of Dicer and Ago2 is associated with cell proliferation and apoptosis in prostate cancer.

Authors:  Xiao-Jie Bian; Gui-Ming Zhang; Cheng-Yuan Gu; Ying Cai; Chao-Fu Wang; Yi-Jun Shen; Yao Zhu; Hai-Liang Zhang; Bo Dai; Ding-Wei Ye
Journal:  Tumour Biol       Date:  2014-08-19

Review 9.  MicroRNAs, cancer and cancer stem cells.

Authors:  Amy L Zimmerman; Shiyong Wu
Journal:  Cancer Lett       Date:  2010-10-20       Impact factor: 8.679

10.  A dosage-dependent pleiotropic role of Dicer in prostate cancer growth and metastasis.

Authors:  B Zhang; H Chen; L Zhang; O Dakhova; Y Zhang; M T Lewis; C J Creighton; M M Ittmann; L Xin
Journal:  Oncogene       Date:  2013-07-15       Impact factor: 9.867

View more
  6 in total

1.  miRNA processing gene polymorphisms, blood DNA methylation age and long-term ambient PM2.5 exposure in elderly men.

Authors:  Jamaji C Nwanaji-Enwerem; Elena Colicino; Lingzhen Dai; Qian Di; Allan C Just; Lifang Hou; Pantel Vokonas; Immaculata De Vivo; Bernardo Lemos; Quan Lu; Marc G Weisskopf; Andrea A Baccarelli; Joel D Schwartz
Journal:  Epigenomics       Date:  2017-11-06       Impact factor: 4.778

2.  Association of GEMIN4 gene polymorphism and the risk of cancer: a meta-analysis.

Authors:  Nan Wu; Xiaowei Zhang; Jinlong Tian; Shuang Yu; Ying Qiao
Journal:  Onco Targets Ther       Date:  2017-11-02       Impact factor: 4.147

3.  Association of miRNA biosynthesis genes DROSHA and DGCR8 polymorphisms with cancer susceptibility: a systematic review and meta-analysis.

Authors:  Jing Wen; Zhi Lv; Hanxi Ding; Xinxin Fang; Mingjun Sun
Journal:  Biosci Rep       Date:  2018-06-27       Impact factor: 3.840

4.  A pan-cancer atlas of somatic mutations in miRNA biogenesis genes.

Authors:  Paulina Galka-Marciniak; Martyna Olga Urbanek-Trzeciak; Paulina Maria Nawrocka; Piotr Kozlowski
Journal:  Nucleic Acids Res       Date:  2021-01-25       Impact factor: 16.971

5.  Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population.

Authors:  Xingbo Song; Huiyu Zhong; Qian Wu; Minjin Wang; Juan Zhou; Yi Zhou; Xiaojun Lu; Binwu Ying
Journal:  Oncotarget       Date:  2017-09-23

6.  Analysis of microRNA processing machinery gene (DROSHA, DICER1, RAN, and XPO5) variants association with end-stage renal disease.

Authors:  Manal S Fawzy; Baraah T Abu AlSel; Eman A Toraih
Journal:  J Clin Lab Anal       Date:  2020-08-07       Impact factor: 3.124

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.