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Review 2021 · 11 citations

Systems Biology Approaches to Decipher the Underlying Molecular Mechanisms of Glioblastoma Multiforme

Kaynar, Ali, Altay, Ozlem, Li, Xiangyu, Zhang, Cheng, Turkez, Hasan, Uhlen, Mathias, Shoaie, Saeed, Mardinoglu, Adil

Abstract

Glioblastoma multiforme (GBM) is one of the most malignant central nervous system tumors, showing a poor prognosis and low survival rate. Therefore, deciphering the underlying molecular mechanisms involved in the progression of the GBM and identifying the key driver genes responsible for the disease progression is crucial for discovering potential diagnostic markers and therapeutic targets. In this context, access to various biological data, development of new methodologies, and generation of biological networks for the integration of multi-omics data are necessary for gaining insights into the appearance and progression of GBM. Systems biology approaches have become indispensable in analyzing heterogeneous high-throughput omics data, extracting essential information, and generating new hypotheses from biomedical data. This review provides current knowledge regarding GBM and discusses the multi-omics data and recent systems analysis in GBM to identify key biological functions and genes. This knowledge can be used to develop efficient diagnostic and treatment strategies and can also be used to achieve personalized medicine for GBM.

Keywords
glioblastoma genome-scale metabolic models multi-omics data systems biology GENOMIC CHARACTERIZATION GLOBAL RECONSTRUCTION GENE-EXPRESSION NETWORK REVEALS PROTEIN STEM PROGRESSION ASSOCIATION METABOLISM
WoS Categories
Biochemistry & Molecular Biology Chemistry, Multidisciplinary
Sustainable Development Goals
Citation
Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Year
2021
Volume
22
Issue
24
ISSN
1661-6596
eISSN
1422-0067
DOI
10.3390/ijms222413213
WoS UID
WOS:000738537400001
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