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Identifier 000431679
Title Διερεύνηση υπογραφών έκφρασης miRNA προς διαστρωμάτωση ασθενών με γλοιοβλάστωμα
Alternative Title Deciphering miRNA signatures toward patient stratification in glioblastoma multiforme
Author Μπαφίτη, Παρασκευή
Thesis advisor Κατσίλα, Θεοδώρα
Reviewer Πίντζας, Αλέξανδρος
Τσατσάνης, Χρήστος
Abstract Malignant gliomas constitute a complex disease phenotype that demands optimum decision-making. Despite being the most common type of primary brain tumors, gliomas are highly heterogeneous when their pathophysiology and response to treatment are considered. Such inter-individual variability also renders optimum patient stratification extremely difficult. Recent evidence highlight that the gene-environment interplay becomes of fundamental importance in oncogenesis and progression of gliomas. For glioblastoma multiforme, in particular, genotype-to-phenotype associations are critical. Herein, we put emphasis on a microRNA signature (hsa-miR-20a, hsa-miR-21, hsa-miR-10a) to map the inter-individual variability of glioblastoma multiforme patients toward optimum patient stratification. Data and text mining reported a key role for hsa-miR-20a, hsa-miR-21 and hsa-miR-10a in the regulation of gene expression in glioblastoma pathophysiology. Next, immunohistochemistry analysis of FFPE tissue samples of glioblastoma multiforme patients (n=37) was performed for TGFb-RII, hMSH2 and EphA8. microRNA expression levels were determined by RT-qPCR. hsa-miR-20a, hsa-miR-21 and hsa-miR-10a were up-regulated. Such findings are further supported by our immunohistochemistry analysis for TGFb-RII, hMSH2 and EphA8. Molecular-clinical correlations were drawn to classify high- vs. low-risk patients, shedding light to the molecular mechanisms involved in disease progression. This microRNA signature (hsa-miR-20a, hsa-miR-21, hsa-miR-10a) may further empower evidence-informed decision-making in clinical practice.
Language Greek, English
Subject Metabotype
Issue date 2020-08-05
Collection   Faculty/Department--School of Medicine--Department of Medicine--Post-graduate theses
  Type of Work--Post-graduate theses
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