Maxim Sorokin (Author), Mikhail Raevskiy (Author), Alja Zottel (Author), Neja Zupanec (Author), Marija Skoblar Vidmar (Author), Alenka Matjašič (Author), Andrej Zupan (Author), Jernej Mlakar (Author), Maria Suntsova (Author), Denis V. Kuzmin (Author), Anton A. Buzdin (Author), Ivana Jovchevska (Author)

Abstract

Glioblastoma is the most common and malignant brain malignancy worldwide, with a 10-year survival of only 0.7%. Aggressive multimodal treatment is not enough to increase life expectancy and provide good quality of life for glioblastoma patients. In addition, despite decades of research, there are no established biomarkers for early disease diagnosis and monitoring of patient response to treatment. High throughput sequencing technologies allow for the identification of unique molecules from large clinically annotated datasets. Thus, the aim of our study was to identify significant molecular changes between short- and long-term glioblastoma survivors by transcriptome RNA sequencing profiling, followed by differential pathway-activation-level analysis. We used data from the publicly available repositories The Cancer Genome Atlas (TCGA; number of annotated cases = 135) and Chinese Glioma Genome Atlas (CGGA; number of annotated cases = 218), and experimental clinically annotated glioblastoma tissue samples from the Institute of Pathology, Faculty of Medicine in Ljubljana corresponding to 2-58 months overall survival (n = 16). We found one differential gene for long noncoding RNA CRNDE whose overexpression showed correlation to poor patient OS. Moreover, we identified overlapping sets of congruently regulated differential genes involved in cell growth, division, and migration, structure and dynamics of extracellular matrix, DNA methylation, and regulation through noncoding RNAs. Gene ontology analysis can provide additional information about the function of protein- and nonprotein-coding genes of interest and the processes in which they are involved. In the future, this can shape the design of more targeted therapeutic approaches.

Keywords

glioblastom;nekodirajoča RNA;dolgoročno preživetje;glioblastoma;noncoding RNA;long-term survival;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL MF - Faculty of Medicine
UDC: 616-006
COBISS: 69980163 Link will open in a new window
ISSN: 2072-6694
Views: 116
Downloads: 43
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Other data

Secondary language: Slovenian
Secondary keywords: glioblastom;nekodirajoča RNA;dolgoročno preživetje;
Type (COBISS): Article
Pages: str. 1-18
Volume: ǂVol. ǂ13
Issue: ǂiss. ǂ14
Chronology: Jul. 2021
DOI: 10.3390/cancers13143419
ID: 14880020