Systems Biology Approaches to Decipher the Underlying Molecular Mechanisms of Glioblastoma Multiforme |
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| Authors: | Ali Kaynar Ozlem Altay Xiangyu Li Cheng Zhang Hasan Turkez Mathias Uhln Saeed Shoaie Adil Mardinoglu |
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| Affiliation: | 1.Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.K.); (S.S.);2.Science for Life Laboratory, Royal Institute of Technology (KTH), SE-10691 Stockholm, Sweden; (O.A.); (X.L.); (C.Z.); (M.U.);3.Medical Biology Department, Faculty of Medicine, Atatürk University, Erzurum TR-25240, Turkey; |
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| 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. |
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| Keywords: | glioblastoma genome-scale metabolic models multi-omics data systems biology |
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