Plasma miR-155, miR-203, and miR-205 are Biomarkers for Monitoring of Primary Cutaneous T-Cell Lymphomas
Language English Country Switzerland Media electronic
Document type Journal Article
PubMed
29036928
PubMed Central
PMC5666818
DOI
10.3390/ijms18102136
PII: ijms18102136
Knihovny.cz E-resources
- Keywords
- Psoriasis vulgaris, Sezary syndrome, atopic dermatitis, cutaneous T-cell lymphomas (CTCL), microRNA, mycosis fungoides,
- MeSH
- Circulating MicroRNA * MeSH
- Lymphoma, T-Cell, Cutaneous blood diagnosis genetics therapy MeSH
- Skin pathology MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs genetics MeSH
- Biomarkers, Tumor * MeSH
- Prognosis MeSH
- Antineoplastic Combined Chemotherapy Protocols therapeutic use MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Neoplasm Staging MeSH
- Gene Expression Profiling MeSH
- Case-Control Studies MeSH
- Liquid Biopsy MeSH
- Treatment Outcome MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Circulating MicroRNA * MeSH
- MicroRNAs MeSH
- MIRN155 microRNA, human MeSH Browser
- MIRN203 microRNA, human MeSH Browser
- MIRN205 microRNA, human MeSH Browser
- Biomarkers, Tumor * MeSH
Primary cutaneous T-cell lymphomas (CTCL) affect the skin and tend to transform and spread. CTCL involves primarily the Mycosis fungoides (MF) and more aggressive Sezary syndrome (SS). Oncogenic microRNAs (miRs) are stable epigenetic inhibitors often deregulated in the tumour and detectable as biomarkers in non-cellular fractions of peripheral blood. The tumour-specific expression of miR-155, miR-203, and miR-205 was shown to correctly diagnose CTCL. We herein asked whether these microRNAs can be used as plasma biomarkers for clinical CTCL monitoring. Patients with CTCL (n = 10) and controls with non-malignant conditions (n = 11) repeatedly donated plasma samples every ca. five months. MicroRNAs were detected in the plasma samples by specifically-primed RT-PCR followed by multivariate analyses of the miR expression dynamics. We herein established the plasma miR-classifier for detecting CTCL based on the miR-155 upregulation and miR-203/miR-205 downregulation with 100% specificity and 94% sensitivity. The 3-miR-score in the consecutive samples coincided with the clinical outcome of MF and SS patients such as the therapy response or changes in the clinical stage or tumor size. Quantitation of the selected microRNAs in plasma is a specific and straightforward approach for evaluating CTCL outcome representing, thus, a valuable tool for CTCL diagnostics and therapy response monitoring.
BIOCEV 1st Faculty of Medicine Charles University 25250 Vestec Czech Republic
Faculty of Mathematics and Physics Charles University 18675 Prague Czech Republic
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