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Circulating Small Noncoding RNAs Have Specific Expression Patterns in Plasma and Extracellular Vesicles in Myelodysplastic Syndromes and Are Predictive of Patient Outcome
A. Hrustincova, Z. Krejcik, D. Kundrat, K. Szikszai, M. Belickova, P. Pecherkova, J. Klema, J. Vesela, M. Hruba, J. Cermak, T. Hrdinova, M. Krijt, J. Valka, A. Jonasova, MD. Merkerova
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
16-33617A
Ministerstvo Zdravotnictví Ceské Republiky - International
NV16-33617A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
NLK
Directory of Open Access Journals
od 2012
Free Medical Journals
od 2012
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2012-03-01
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2012-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2012
PubMed
32224889
DOI
10.3390/cells9040794
Knihovny.cz E-zdroje
- MeSH
- azacytidin farmakologie MeSH
- biologické markery krev MeSH
- biologické modely MeSH
- editace RNA genetika MeSH
- extracelulární vezikuly metabolismus MeSH
- Kaplanův-Meierův odhad MeSH
- lidé MeSH
- malá nekódující RNA krev genetika MeSH
- mikro RNA genetika metabolismus MeSH
- multivariační analýza MeSH
- mutace genetika MeSH
- myelodysplastické syndromy krev genetika patologie MeSH
- prognóza MeSH
- proporcionální rizikové modely MeSH
- regulace genové exprese MeSH
- reprodukovatelnost výsledků MeSH
- signální transdukce genetika MeSH
- výsledek terapie MeSH
- vysoce účinné nukleotidové sekvenování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Myelodysplastic syndromes (MDS) are hematopoietic stem cell disorders with large heterogeneity at the clinical and molecular levels. As diagnostic procedures shift from bone marrow biopsies towards less invasive techniques, circulating small noncoding RNAs (sncRNAs) have become of particular interest as potential novel noninvasive biomarkers of the disease. We aimed to characterize the expression profiles of circulating sncRNAs of MDS patients and to search for specific RNAs applicable as potential biomarkers. We performed small RNA-seq in paired samples of total plasma and plasma-derived extracellular vesicles (EVs) obtained from 42 patients and 17 healthy controls and analyzed the data with respect to the stage of the disease, patient survival, response to azacitidine, mutational status, and RNA editing. Significantly higher amounts of RNA material and a striking imbalance in RNA content between plasma and EVs (more than 400 significantly deregulated sncRNAs) were found in MDS patients compared to healthy controls. Moreover, the RNA content of EV cargo was more homogeneous than that of total plasma, and different RNAs were deregulated in these two types of material. Differential expression analyses identified that many hematopoiesis-related miRNAs (e.g., miR-34a, miR-125a, and miR-150) were significantly increased in MDS and that miRNAs clustered on 14q32 were specifically increased in early MDS. Only low numbers of circulating sncRNAs were significantly associated with somatic mutations in the SF3B1 or DNMT3A genes. Survival analysis defined a signature of four sncRNAs (miR-1237-3p, U33, hsa_piR_019420, and miR-548av-5p measured in EVs) as the most significantly associated with overall survival (HR = 5.866, p < 0.001). In total plasma, we identified five circulating miRNAs (miR-423-5p, miR-126-3p, miR-151a-3p, miR-125a-5p, and miR-199a-3p) whose combined expression levels could predict the response to azacitidine treatment. In conclusion, our data demonstrate that circulating sncRNAs show specific patterns in MDS and that their expression changes during disease progression, providing a rationale for the potential clinical usefulness of circulating sncRNAs in MDS prognosis. However, monitoring sncRNA levels in total plasma or in the EV fraction does not reflect one another, instead, they seem to represent distinctive snapshots of the disease and the data should be interpreted circumspectly with respect to the type of material analyzed.
1st Faculty of Medicine Charles University Kateřinská 1660 32 121 08 Prague Czech Republic
Czech Technical University Karlovo namesti 13 121 35 Prague Czech Republic
Faculty of Science Charles University Albertov 2038 128 00 Prague Czech Republic
General University Hospital U Nemocnice 499 2 128 08 Prague Czech Republic
Institute of Hematology and Blood Transfusion U Nemocnice 1 128 20 Prague Czech Republic
Citace poskytuje Crossref.org
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