BACKGROUND/AIM: The genetic characterization of prostate tumors is important for personalized therapy. The aim of the present study was to investigate the role of previously described prostate cancer-related genes in the genetic characterization of prostate tumors. MATERIALS AND METHODS: Forty-two genes were selected for expression analysis (real time-quantitative polymerase chain reaction). One normal prostatic epithelial cell line and three standardized prostate cancer cell lines were used. Twenty-eight patients treated with radical prostatectomy were included in the study. RESULTS: The following genes appeared to be possibly related to the metastatic potential of the tumor: ELOVL fatty acid elongase 7 (ELOVL7), enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2), gastrulation brain homeobox 2 (GBX2), golgi membrane protein 1 (GOLM1), homeobox C6 (HOXC6), minichromosome maintenance complex component 6 (MCM6), marker of proliferation Ki-67 (MKI67), mucin 1, cell surface associated (MUC1), MYC binding protein 2, E3 ubiquitin protein ligase (MYCBP2), somatostatin receptor 1 (SSTR1), topoisomerase (DNA) II alpha 170 kDa (TOP2A) and exportin 6 (XPO6). Six genes were differentially expressed in patients with localized and locally advanced cancer (GOLM1, GBX2, XPO6, SSTR1, TOP2A and cell division cycle associated 5, CDCA5) and three genes (HOXC6, Cyclin-dependent kinase inhibitor 2A (CDKN2A) and MYC binding protein 2, E3 ubiquitin protein ligase, MYCBP2) in patients with a low vs. high Gleason grade/sum. CONCLUSION: Some of the investigated genes show promising prognostic and classification features, which might be useful in a clinical setting, warranting for further validation. Copyright
BACKGROUND/AIM: The genetic characterization of prostate tumors is important for personalized therapy. The aim of the present study was to investigate the role of previously described prostate cancer-related genes in the genetic characterization of prostate tumors. MATERIALS AND METHODS: Forty-two genes were selected for expression analysis (real time-quantitative polymerase chain reaction). One normal prostatic epithelial cell line and three standardized prostate cancer cell lines were used. Twenty-eight patients treated with radical prostatectomy were included in the study. RESULTS: The following genes appeared to be possibly related to the metastatic potential of the tumor: ELOVL fatty acid elongase 7 (ELOVL7), enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2), gastrulation brain homeobox 2 (GBX2), golgi membrane protein 1 (GOLM1), homeobox C6 (HOXC6), minichromosome maintenance complex component 6 (MCM6), marker of proliferation Ki-67 (MKI67), mucin 1, cell surface associated (MUC1), MYC binding protein 2, E3 ubiquitin protein ligase (MYCBP2), somatostatin receptor 1 (SSTR1), topoisomerase (DNA) II alpha 170 kDa (TOP2A) and exportin 6 (XPO6). Six genes were differentially expressed in patients with localized and locally advanced cancer (GOLM1, GBX2, XPO6, SSTR1, TOP2A and cell division cycle associated 5, CDCA5) and three genes (HOXC6, Cyclin-dependent kinase inhibitor 2A (CDKN2A) and MYC binding protein 2, E3 ubiquitin protein ligase, MYCBP2) in patients with a low vs. high Gleason grade/sum. CONCLUSION: Some of the investigated genes show promising prognostic and classification features, which might be useful in a clinical setting, warranting for further validation. Copyright
Authors: E Thomas Danielsen; Morten E Moeller; Naoki Yamanaka; Qiuxiang Ou; Janne M Laursen; Caecilie Soenderholm; Ran Zhuo; Brian Phelps; Kevin Tang; Jie Zeng; Shu Kondo; Christian H Nielsen; Eva B Harvald; Nils J Faergeman; Macy J Haley; Kyle A O'Connor; Kirst King-Jones; Michael B O'Connor; Kim F Rewitz Journal: Dev Cell Date: 2016-06-20 Impact factor: 12.270
Authors: Laiyin Nie; Tomas C Pascoa; Ashley C W Pike; Simon R Bushell; Andrew Quigley; Gian Filippo Ruda; Amy Chu; Victoria Cole; David Speedman; Tiago Moreira; Leela Shrestha; Shubhashish M M Mukhopadhyay; Nicola A Burgess-Brown; James D Love; Paul E Brennan; Elisabeth P Carpenter Journal: Nat Struct Mol Biol Date: 2021-06-10 Impact factor: 15.369
Authors: Vito Cucchiara; Joy C Yang; Vincenzo Mirone; Allen C Gao; Michael G Rosenfeld; Christopher P Evans Journal: Cancers (Basel) Date: 2017-01-16 Impact factor: 6.639