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Circulating microRNAs in Cerebrospinal Fluid and Plasma: Sensitive Tool for Detection of Secondary CNS Involvement, Monitoring of Therapy and Prediction of CNS Relapse in Aggressive B-NHL Lymphomas
P. Krsmanovic, H. Mocikova, K. Chramostova, M. Klanova, M. Trnkova, M. Pesta, P. Laslo, R. Pytlik, T. Stopka, M. Trneny, V. Pospisil
Language English Country Switzerland
Document type Journal Article
NLK
Free Medical Journals
from 2009
PubMed Central
from 2009
Europe PubMed Central
from 2009
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2009-01-01
Open Access Digital Library
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2009
- Publication type
- Journal Article MeSH
Lymphoma with secondary central nervous system (CNS) involvement represents one of the most aggressive malignancies, with poor prognosis and high mortality. New diagnostic tools for its early detection, response evaluation, and CNS relapse prediction are needed. We analyzed circulating microRNAs in the cerebrospinal fluid (CSF) and plasma of 162 patients with aggressive B-cell non-Hodgkin's lymphomas (B-NHL) and compared their levels in CNS-involving lymphomas versus in systemic lymphomas, at diagnosis and during treatment and CNS relapse. We identified a set of five oncogenic microRNAs (miR-19a, miR-20a, miR-21, miR-92a, and miR-155) in CSF that detect, with high sensitivity, secondary CNS lymphoma involvement in aggressive B-NHL, including DLBCL, MCL, and Burkitt lymphoma. Their combination into an oncomiR index enables the separation of CNS lymphomas from systemic lymphomas or nonmalignant controls with high sensitivity and specificity, and high Receiver Operating Characteristics (DLBCL AUC = 0.96, MCL = 0.93, BL = 1.0). Longitudinal analysis showed that oncomiR levels reflect treatment efficacy and clinical outcomes, allowing their monitoring and prediction. In contrast to conventional methods, CSF oncomiRs enable detection of early and residual CNS involvement, as well as parenchymal involvement. These circulating oncomiRs increase 1-4 months before CNS relapse, allowing its early detection and improving the prediction of CNS relapse risk in DLBCL. Similar effects were detectable, to a lesser extent, in plasma.
1st Department of Medicine Charles University General Hospital 128 08 Prague Czech Republic
Biocev 1st Faculty of Medicine Charles University 252 50 Vestec Czech Republic
Faculty of Mathematics and Physics Charles University 186 75 Prague Czech Republic
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