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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F14%3A00080042" target="_blank" >RIV/00209805:_____/14:00080042 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14740/14:00077330 RIV/65269705:_____/14:00061517 RIV/00179906:_____/14:10289032 RIV/00159816:_____/14:00061517 RIV/61989592:15110/14:33150927

Výsledek na webu

<a href="https://pubmed.ncbi.nlm.nih.gov/25322872/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/25322872/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/carcin/bgu212" target="_blank" >10.1093/carcin/bgu212</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 &lt; 0.001] and overa+ll survival (HR 2.86, 95% CI 1.91-4.29, P &lt; 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 &lt; 0.001] and overa+ll survival (HR 2.86, 95% CI 1.91-4.29, P &lt; 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30204 - Oncology

Projekt

<a href="/cs/project/NT11214" target="_blank" >NT11214: Identifikace a funkční charakterizace mikroRNA s prediktivním významem u pacientů s glioblastomem</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Carcinogenesis

ISSN

0143-3334

e-ISSN

1460-2180

Svazek periodika

35

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

2756-62

Kód UT WoS článku

000345836200015

EID výsledku v databázi Scopus

2-s2.0-84923532167