Title Glioblastomos molekulinių žymenų paieška moderniuose ląstelių kultūrų modeliuose ir pacientų biologinėje medžiagoje /
Translation of Title Identification of new glioblastoma biomarkers in modern cell culture models and biological samples.
Authors Trockaja, Ilona
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Pages 50
Abstract [eng] Identification of New Glioblastoma Biomarkers in Modern Cell Culture Models and Biological Samples Glioblastoma is one of the most aggressive malignant brain tumors and despite the standard surgery, radiation and chemotherapy, affected individuals has a median survival of 12-15 months following diagnosis. In order to understand the genetic mechanisms of tumor initiation and progression lots of different model systems are employed, but there are still lots of open questions left. The aim of this study was to evaluate the changes in the expression of gene and miRNA in glioblastoma U-87 cell line 2D and 3D cultivated cell cultures and glioblastoma tissues in order to find out the potential biomarkers, which have an important role in glioma initiation, progression and invasion. The results demonstrated that U-87 cell line 3D cultivated cell culture is an appropriate experimental model system for cancer research, because of similar tendencies of altered gene expression, comparing with glioblastoma tissue. RT-qPCR analysis revealed a significant decrease of miR-26a-5p, miR-26b-5p, miR-30b-5p, miR143-3p, miR-361-5p and miR-484 expression in glioblastoma tissue comparing with normal brain tissue. In addition, the relation between gene and miRNA expression and survival of glioblastoma patients was evaluated. Correlation analysis has shown a promising association between miR-361-5p and its target POLR3G gene expression and survival in glioblastoma patients. However, a significance of this result should be examined using a larger sample. Moreover, the analysis of miRNA expression in glioblastoma tissue, comparing with normal brain tissue has demonstrated different histological and molecular features of normal brain tissue, approving the significant clinical potential of miRNA to be validated as diagnostic, prognostic and predictive biomarkers in glioblastoma.
Dissertation Institution Vilniaus universitetas.
Type Master thesis
Language Lithuanian
Publication date 2017