Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10365998" target="_blank" >RIV/00216208:11320/17:10365998 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11110/17:10365998 RIV/27283933:_____/17:00005431
Výsledek na webu
<a href="http://dx.doi.org/10.3390/ijms18102116" target="_blank" >http://dx.doi.org/10.3390/ijms18102116</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijms18102116" target="_blank" >10.3390/ijms18102116</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer
Popis výsledku v původním jazyce
Oncogenic microRNAs (oncomiRs) accumulate in serum due to their increased stability and thus serve as biomarkers in breast cancer (BC) pathogenesis. Four oncogenic microRNAs (miR-155, miR-19a, miR-181b, and miR-24) and one tumor suppressor microRNA (let-7a) were shown to differentiate between high- and low-risk early breast cancer (EBC) and reflect the surgical tumor removal and adjuvant therapy. Here we applied the longitudinal multivariate data analyses to stochastically model the serum levels of each of the oncomiRs using the RT-PCR measurements in the EBC patients (N = 133) that were followed up 4 years after diagnosis. This study identifies that two of the studied oncomiRs, miR-155 and miR-24, are highly predictive of EBC relapse. Furthermore, combining the oncomiR level with Ki-67 expression further specifies the relapse probability. Our data move further the notion that oncomiRs in serum enable not only monitoring of EBC but also are a very useful tool for predicting relapse independently of any other currently analyzed characteristics in EBC patients. Our approach can be translated into medical practice to estimate individual relapse risk of EBC patients.
Název v anglickém jazyce
Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer
Popis výsledku anglicky
Oncogenic microRNAs (oncomiRs) accumulate in serum due to their increased stability and thus serve as biomarkers in breast cancer (BC) pathogenesis. Four oncogenic microRNAs (miR-155, miR-19a, miR-181b, and miR-24) and one tumor suppressor microRNA (let-7a) were shown to differentiate between high- and low-risk early breast cancer (EBC) and reflect the surgical tumor removal and adjuvant therapy. Here we applied the longitudinal multivariate data analyses to stochastically model the serum levels of each of the oncomiRs using the RT-PCR measurements in the EBC patients (N = 133) that were followed up 4 years after diagnosis. This study identifies that two of the studied oncomiRs, miR-155 and miR-24, are highly predictive of EBC relapse. Furthermore, combining the oncomiR level with Ki-67 expression further specifies the relapse probability. Our data move further the notion that oncomiRs in serum enable not only monitoring of EBC but also are a very useful tool for predicting relapse independently of any other currently analyzed characteristics in EBC patients. Our approach can be translated into medical practice to estimate individual relapse risk of EBC patients.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30204 - Oncology
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Molecular Sciences
ISSN
1422-0067
e-ISSN
—
Svazek periodika
18
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
10
Strana od-do
—
Kód UT WoS článku
000414671800100
EID výsledku v databázi Scopus
2-s2.0-85031295256