Detailed Information on Publication Record
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
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 |
| |
NT13514, research and development project |
|