Publications by authors named "Michaela Reiterova"
Article Synopsis
- Acute lymphoblastic leukemia (γδ T-ALL) is a rare and complex condition in children, prompting a study of 200 pediatric cases to identify its clinical and genetic characteristics.
- The research revealed that very young children (under 3 years) with γδ T-ALL face a significantly high risk and display specific genetic changes, particularly involving STAG2 inactivation and LMO2 activation.
- Importantly, their findings suggest that targeting DNA repair pathways linked to STAG2 inactivation with specific drugs could offer new treatment options and help classify patients based on their risk levels.
Purpose: Gamma delta T-cell receptor-positive acute lymphoblastic leukemia (γδ T-ALL) is a high-risk but poorly characterized disease.
Methods: We studied clinical features of 200 pediatric γδ T-ALL, and compared the prognosis of 93 cases to 1,067 protocol-matched non-γδ T-ALL. Genomic features were defined by transcriptome and genome sequencing.
Article Synopsis
- The study investigates how thymic dysplasia affects T cells in patients with 22q11.2 deletion syndrome, focusing on their characteristics and response to IL-7 treatment.
- Findings show a strong Th1 response in these patients, characterized by specific T cell expansions and increased production of various cytokines like IFN-γ and IL-10.
- IL-7 treatment leads to a reduction in naive T cells and an increase in exhaustion markers, indicating that the Th1 bias remains through adolescence and promotes early maturation of T cells.
Presence of minimal residual disease (MRD), detected by flow cytometry, is an important prognostic biomarker in the management of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, data-analysis remains mainly expert-dependent. In this study, we designed and validated an Automated Gating & Identification (AGI) tool for MRD analysis in BCP-ALL patients using the two tubes of the EuroFlow 8-color MRD panel.
View Article and Find Full Text PDFThe distribution of fluorescence signals measured with flow cytometry can be influenced by several factors, including qualitative and quantitative properties of the used fluorochromes, optical properties of the detection system, as well as the variability within the analyzed cell population itself. Most of the single cell samples prepared from in vitrocultures or clinical specimens contain a variable cell cycle component. Cell cycle, together with changes in the cell size, are two of the factors that alter the functional properties of analyzed cells and thus affect the interpretation of obtained results.
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