Literature DB >> 21769427

miRNAs can predict prostate cancer biochemical relapse and are involved in tumor progression.

Annika Fendler1, Monika Jung, Carsten Stephan, Richardson J Honey, Robert J Stewart, Kenneth T Pace, Andreas Erbersdobler, Sara Samaan, Klaus Jung, George M Yousef.   

Abstract

Prostate cancer is the leading cancer diagnosed and the second most common cause of cancer related death in the western world. For prognostic monitoring after prostatectomy, recurrent increase of prostate-specific antigen (PSA), the so-called PSA or biochemical relapse remains the leading biomarker. There is currently no biomarker that can accurately predict the risk of relapse at the time of surgery. We analyzed formalin-fixed and paraffin-embedded tissue samples from 52 primary prostate cancers and normal adjacent tissues obtained after radical prostatectomy. Patients were grouped into two categories: i) patients with early biochemical relapse (<1 year after radical prostatectomy) and ii) patients with late or no biochemical relapse (>2 years after surgery). Multiplex real-time quantitative polymerase chain reaction (RT-qPCR) analysis was performed to identify a miRNA signature that can predict relapse. Results were validated by quantitative RT-PCR analysis. We identified 63 miRNAs that were differentially expressed among the same categories of patients, of whom 35 miRNAs were up-regulated and 28 were down-regulated. Literature search shows that many of these miRNAs have an established prognostic significance in other cancers and can be actively involved in tumor progression. Target prediction analysis showed that predicted targets of these miRNAs could be involved in biological processes and pathways that enhance tumor progression. We experimentally validated the role of one of the dysregulated miRNAs (miR-10b) in relapse using proliferation and wound-healing assay. miRNAs can be reliable predictive markers for biochemical relapse of prostate cancer at the time of radical prostatectomy. This should have significant impact on patient managing plans.

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Year:  2011        PMID: 21769427     DOI: 10.3892/ijo.2011.1128

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  26 in total

1.  MicroRNA-30c serves as an independent biochemical recurrence predictor and potential tumor suppressor for prostate cancer.

Authors:  Xiao-hui Ling; Zhao-dong Han; Dan Xia; Hui-chan He; Fu-neng Jiang; Zhuo-yuan Lin; Xin Fu; Ye-han Deng; Qi-shan Dai; Chao Cai; Jia-hong Chen; Yu-xiang Liang; Wei-de Zhong; Chin-lee Wu
Journal:  Mol Biol Rep       Date:  2014-01-23       Impact factor: 2.316

2.  MicroRNAs as potential clinical biomarkers: emerging approaches for their detection.

Authors:  S K Srivastava; A Bhardwaj; S J Leavesley; W E Grizzle; S Singh; A P Singh
Journal:  Biotech Histochem       Date:  2013-01-07       Impact factor: 1.718

3.  miR-196a regulates the proliferation, invasion and migration of esophageal squamous carcinoma cells by targeting ANXA1.

Authors:  Changmei Hu; Jie Peng; Liang Lv; Xuehong Wang; Yuqian Zhou; Jirong Huo; Deliang Liu
Journal:  Oncol Lett       Date:  2019-03-22       Impact factor: 2.967

4.  miR-21, miR-221 and miR-222 expression and prostate cancer recurrence among obese and non-obese cases.

Authors:  Ernest K Amankwah; Evelyn Anegbe; Hyun Park; Julio Pow-Sang; Ardeshir Hakam; Jong Y Park
Journal:  Asian J Androl       Date:  2013-01-28       Impact factor: 3.285

5.  High miR-449b expression in prostate cancer is associated with biochemical recurrence after radical prostatectomy.

Authors:  Martin Mørck Mortensen; Søren Høyer; Torben Falck Orntoft; Karina Dalsgaard Sørensen; Lars Dyrskjøt; Michael Borre
Journal:  BMC Cancer       Date:  2014-11-21       Impact factor: 4.430

6.  The genetics of neuroendocrine prostate cancers: a review of current and emerging candidates.

Authors:  M Hammad Ather; Tahmeena Siddiqui
Journal:  Appl Clin Genet       Date:  2012-11-08

7.  Identification and Insilico Analysis of Retinoblastoma Serum microRNA Profile and Gene Targets Towards Prediction of Novel Serum Biomarkers.

Authors:  Madhu Beta; Nalini Venkatesan; Madavan Vasudevan; Umashankar Vetrivel; Vikas Khetan; Subramanian Krishnakumar
Journal:  Bioinform Biol Insights       Date:  2013-01-09

Review 8.  Emerging clinical importance of the cancer biomarkers kallikrein-related peptidases (KLK) in female and male reproductive organ malignancies.

Authors:  Manfred Schmitt; Viktor Magdolen; Feng Yang; Marion Kiechle; Jane Bayani; George M Yousef; Andreas Scorilas; Eleftherios P Diamandis; Julia Dorn
Journal:  Radiol Oncol       Date:  2013-10-08       Impact factor: 2.991

9.  miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer.

Authors:  Omer Faruk Karatas; Esra Guzel; Ilknur Suer; Isin D Ekici; Turhan Caskurlu; Chad J Creighton; Michael Ittmann; Mustafa Ozen
Journal:  PLoS One       Date:  2014-06-26       Impact factor: 3.240

10.  A novel miRNA-based predictive model for biochemical failure following post-prostatectomy salvage radiation therapy.

Authors:  Erica Hlavin Bell; Simon Kirste; Jessica L Fleming; Petra Stegmaier; Vanessa Drendel; Xiaokui Mo; Stella Ling; Denise Fabian; Isabel Manring; Cordula A Jilg; Wolfgang Schultze-Seemann; Maureen McNulty; Debra L Zynger; Douglas Martin; Julia White; Martin Werner; Anca L Grosu; Arnab Chakravarti
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

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