Literature DB >> 25322872

Risk Score based on microRNA expression signature is independent prognostic classifier of glioblastoma patients.

Jiri Sana1, Lenka Radova2, Radek Lakomy3, Leos Kren4, Pavel Fadrus5, Martin Smrcka5, Andrej Besse2, Jana Nekvindova6, Marketa Hermanova7, Radim Jancalek8, Marek Svoboda3, Marian Hajduch9, Pavel Slampa10, Rostislav Vyzula3, Ondrej Slaby11.   

Abstract

Glioblastoma multiforme (GBM) is the most malignant primary brain tumor. The prognosis of GBM patients varies considerably and the histopathological examination is not sufficient for individual risk estimation. MicroRNAs (miRNAs) are small, non-coding RNAs that function as post-transcriptional regulators of gene expression and were repeatedly proved to play important roles in pathogenesis of GBM. In our study, we performed global miRNA expression profiling of 58 glioblastoma tissue samples obtained during surgical resections and 10 non-tumor brain tissues. The subsequent analysis revealed 28 significantly deregulated miRNAs in GBM tissue, which were able to precisely classify all examined samples. Correlation with clinical data led to identification of six-miRNA signature significantly associated with progression free survival [hazard ratio (HR) 1.98, 95% confidence interval (CI) 1.33-2.94, P < 0.001] and overa+ll survival (HR 2.86, 95% CI 1.91-4.29, P < 0.001). O(6)-methylguanine-DNA methyltransferase methylation status was evaluated as reference method and Risk Score based on six-miRNA signature indicated significant superiority in prediction of clinical outcome in GBM patients. Multivariate Cox analysis indicated that the Risk Score based on six-miRNA signature is an independent prognostic classifier of GBM patients. We suggest that the Risk Score presents promising prognostic algorithm with potential for individualized treatment decisions in clinical management of GBM patients.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2014        PMID: 25322872     DOI: 10.1093/carcin/bgu212

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  18 in total

Review 1.  MicroRNA as potential biomarkers in Glioblastoma.

Authors:  Zammam Areeb; Stanley S Stylli; Rachel Koldej; David S Ritchie; Tali Siegal; Andrew P Morokoff; Andrew H Kaye; Rodney B Luwor
Journal:  J Neurooncol       Date:  2015-09-21       Impact factor: 4.130

2.  LncRNA LINC00152 promoted glioblastoma progression through targeting the miR-107 expression.

Authors:  Xinzhi Liu; Yimamu Yidayitula; Heng Zhao; Yi Luo; Xiaoqiang Ma; Minhua Xu
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-18       Impact factor: 4.223

3.  MiR-338-5p sensitizes glioblastoma cells to radiation through regulation of genes involved in DNA damage response.

Authors:  Andrej Besse; Jiri Sana; Radek Lakomy; Leos Kren; Pavel Fadrus; Martin Smrcka; Marketa Hermanova; Radim Jancalek; Stefan Reguli; Radim Lipina; Marek Svoboda; Pavel Slampa; Ondrej Slaby
Journal:  Tumour Biol       Date:  2015-12-21

4.  Prognostic value of test(s) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide.

Authors:  Alexandra McAleenan; Claire Kelly; Francesca Spiga; Ashleigh Kernohan; Hung-Yuan Cheng; Sarah Dawson; Lena Schmidt; Tomos Robinson; Sebastian Brandner; Claire L Faulkner; Christopher Wragg; Sarah Jefferies; Amy Howell; Luke Vale; Julian P T Higgins; Kathreena M Kurian
Journal:  Cochrane Database Syst Rev       Date:  2021-03-12

5.  A 4-miRNA signature predicts the therapeutic outcome of glioblastoma.

Authors:  Maximilian Niyazi; Adriana Pitea; Michel Mittelbronn; Joachim Steinbach; Carsten Sticht; Franz Zehentmayr; Daniel Piehlmaier; Horst Zitzelsberger; Ute Ganswindt; Claus Rödel; Kirsten Lauber; Claus Belka; Kristian Unger
Journal:  Oncotarget       Date:  2016-07-19

6.  Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer.

Authors:  Preethi Krishnan; Sunita Ghosh; Bo Wang; Dongping Li; Ashok Narasimhan; Richard Berendt; Kathryn Graham; John R Mackey; Olga Kovalchuk; Sambasivarao Damaraju
Journal:  BMC Genomics       Date:  2015-09-29       Impact factor: 3.969

7.  Identification of hub genes and regulatory factors of glioblastoma multiforme subgroups by RNA-seq data analysis.

Authors:  Yanan Li; Weijie Min; Mengmeng Li; Guosheng Han; Dongwei Dai; Lei Zhang; Xin Chen; Xinglai Wang; Yuhui Zhang; Zhijian Yue; Jianmin Liu
Journal:  Int J Mol Med       Date:  2016-08-26       Impact factor: 4.101

8.  A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients.

Authors:  Wen Cheng; Xiufang Ren; Jinquan Cai; Chuanbao Zhang; Mingyang Li; Kuanyu Wang; Yang Liu; Sheng Han; Anhua Wu
Journal:  Oncotarget       Date:  2015-10-06

9.  The Clinical Significance of O6-Methylguanine-DNA Methyltransferase Promoter Methylation Status in Adult Patients With Glioblastoma: A Meta-analysis.

Authors:  Yu-Hang Zhao; Ze-Fen Wang; Chang-Jun Cao; Hong Weng; Cheng-Shi Xu; Kai Li; Jie-Li Li; Jing Lan; Xian-Tao Zeng; Zhi-Qiang Li
Journal:  Front Neurol       Date:  2018-03-21       Impact factor: 4.003

10.  Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma.

Authors:  Kerstin A Kessel; Josefine Hesse; Christoph Straube; Claus Zimmer; Friederike Schmidt-Graf; Jürgen Schlegel; Bernhard Meyer; Stephanie E Combs
Journal:  PLoS One       Date:  2017-07-05       Impact factor: 3.240

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