Literature DB >> 26011734

miRNAs dysregulated in association with Gleason grade regulate extracellular matrix, cytoskeleton and androgen receptor pathways.

Zsuzsanna Lichner1, Qiang Ding1, Sara Samaan1, Carol Saleh1, Aurfan Nasser1,2, Sahar Al-Haddad1,2, Joseph N Samuel1, Neil E Fleshner3, Carsten Stephan4, Klaus Jung4, George M Yousef1,2.   

Abstract

The Gleason grading system is an important determinant of treatment decisions and prognosis in prostate cancer. It has a number of limitations, including significant inter-observer variability, creating a need for biological parameters to accurately assess the Gleason grade. The objective of this study was to determine the molecular correlates of the different Gleason grades. Global miRNA expression was analysed in pure regions of each Gleason grade. Bioinformatics analysis was performed to predict miRNA-mediated signalling. We experimentally validated the effect of miRNAs on target gene expression and cellular functions using cell line models. We also examined the correlation of miRNAs with biochemical failure, metastasis and prognosis. We identified miRNAs that are differentially expressed between grades 3 and 5, and the top biological processes associated with Gleason grade transition were extracellular matrix (ECM)-mediated signalling, focal adhesion kinase- and mitogen-activated kinase pathways. Transfection with miR-29c, miR-34a and miR-141 repressed genes involved in ECM-mediated pathways, such as SRC, PRKCA, COL1A1, ITGB1 and MAPK13, and decreased cell proliferation and migration. Furthermore, miR-29c and miR-34a influenced downstream pathways that affect actin cytoskeleton organization and androgen receptor localization. Finally, miR-29c, miR-34a, miR-141 and miR-148a showed inverse correlations with biochemical recurrence, but were independent of other clinical parameters. Our results demonstrate the potential role of miRNAs as independent prognostic markers and pave the road for a biological-based reclassification of the Gleason grading system.
Copyright © 2015 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  Gleason grade; biochemical failure; miRNA; prognosis; prostate cancer; tumour markers

Mesh:

Substances:

Year:  2015        PMID: 26011734     DOI: 10.1002/path.4568

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  13 in total

1.  Circulating microRNAs in plasma before and after radical prostatectomy.

Authors:  Alicia C McDonald; Jay D Raman; Jing Shen; Jason Liao; Bhavyata Pandya; Manish A Vira
Journal:  Urol Oncol       Date:  2019-08-14       Impact factor: 3.498

2.  A cellular senescence-related gene prognostic index for biochemical recurrence and drug resistance in patients with prostate cancer.

Authors:  Dechao Feng; Xu Shi; Jia You; Qiao Xiong; Weizhen Zhu; Qiang Wei; Lu Yang
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

3.  Mechanism of miR-34a in the metabolism of extracellular matrix in fibroblasts of stress urinary incontinence via Nampt-mediated autophagy.

Authors:  Ying Zhou; Hongjuan Li; Lu Wang
Journal:  Cell Stress Chaperones       Date:  2022-06-06       Impact factor: 3.827

Review 4.  Biomarkers in localized prostate cancer.

Authors:  Matteo Ferro; Carlo Buonerba; Daniela Terracciano; Giuseppe Lucarelli; Vincenzo Cosimato; Danilo Bottero; Victor M Deliu; Pasquale Ditonno; Sisto Perdonà; Riccardo Autorino; Ioman Coman; Sabino De Placido; Giuseppe Di Lorenzo; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-01-15       Impact factor: 3.404

Review 5.  Tissue-Based MicroRNAs as Predictors of Biochemical Recurrence after Radical Prostatectomy: What Can We Learn from Past Studies?

Authors:  Zhongwei Zhao; Carsten Stephan; Sabine Weickmann; Monika Jung; Glen Kristiansen; Klaus Jung
Journal:  Int J Mol Sci       Date:  2017-09-21       Impact factor: 5.923

6.  In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer.

Authors:  Claudia Cava; Gloria Bertoli; Antonio Colaprico; Gianluca Bontempi; Giancarlo Mauri; Isabella Castiglioni
Journal:  Int J Mol Sci       Date:  2018-03-19       Impact factor: 5.923

Review 7.  MicroRNAs as Guardians of the Prostate: Those Who Stand before Cancer. What Do We Really Know about the Role of microRNAs in Prostate Biology?

Authors:  Thomas Andl; Kavya Ganapathy; Alexia Bossan; Ratna Chakrabarti
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

8.  Data analysis algorithm for the development of extracellular miRNA-based diagnostic systems for prostate cancer.

Authors:  O E Bryzgunova; I A Zaporozhchenko; E A Lekchnov; E V Amelina; M Yu Konoshenko; S V Yarmoschuk; O A Pashkovskaya; A A Zheravin; S V Pak; E Yu Rykova; P P Laktionov
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

9.  A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature.

Authors:  Zhongwei Zhao; Sabine Weickmann; Monika Jung; Michael Lein; Ergin Kilic; Carsten Stephan; Andreas Erbersdobler; Annika Fendler; Klaus Jung
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

10.  Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis.

Authors:  Chui Guo Huang; Feng Xi Li; Song Pan; Chang Bao Xu; Jun Qiang Dai; Xing Hua Zhao
Journal:  Mol Med Rep       Date:  2017-09-13       Impact factor: 2.952

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