J 2014

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

ŠÁNA, Jiří, Lenka RADOVÁ, Radek LAKOMÝ, Leoš KŘEN, Pavel FADRUS et. al.

Basic information

Original name

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

Authors

ŠÁNA, Jiří (203 Czech Republic, belonging to the institution), Lenka RADOVÁ (203 Czech Republic, belonging to the institution), Radek LAKOMÝ (203 Czech Republic, belonging to the institution), Leoš KŘEN (203 Czech Republic, belonging to the institution), Pavel FADRUS (203 Czech Republic, belonging to the institution), Martin SMRČKA (203 Czech Republic, belonging to the institution), Andrej BEŠŠE (703 Slovakia, belonging to the institution), Jana NEKVINDOVÁ (203 Czech Republic), Markéta HERMANOVÁ (203 Czech Republic, belonging to the institution), Radim JANČÁLEK (203 Czech Republic, belonging to the institution), Marek SVOBODA (203 Czech Republic, belonging to the institution), Marian HAJDÚCH (203 Czech Republic), Pavel ŠLAMPA (203 Czech Republic, belonging to the institution), Rostislav VYZULA (203 Czech Republic, belonging to the institution) and Ondřej SLABÝ (203 Czech Republic, guarantor, belonging to the institution)

Edition

Carcinogenesis, Oxford, Oxford University Press, 2014, 0143-3334

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30200 3.2 Clinical medicine

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 5.334

RIV identification code

RIV/00216224:14740/14:00077330

Organization unit

Central European Institute of Technology

UT WoS

000345836200015

Keywords (in Czech)

mikroRNA; expresní profilování; multiformní glioblastom; risc skóre; prognostický klasifikátor

Keywords in English

microRNA; expression profiling; glioblastoma multiforme; risc score; prognostic classifier

Tags

International impact, Reviewed
Změněno: 11/3/2015 13:26, Martina Prášilová

Abstract

V originále

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.

Links

ED1.1.00/02.0068, research and development project
Name: CEITEC - central european institute of technology
NT13514, research and development project
Name: Analýza mikroRNA v glioblastomových kmenových buňkách: predikce léčebné odpovědi a identifikace nových terapeutických cílů u pacientů s glioblastomem

Files attached

EL_1206178_Risk_Score.pdf
Request the author's version of the file