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

Abstract:

Glioblastoma multiforme (GBM) is one of the most malignant central nervous systemtumors, showing a poor prognosis and low survival rate. Therefore, deciphering the underlyingmolecular mechanisms involved in the progression of the GBM and identifying the key driver genesresponsible for the disease progression is crucial for discovering potential diagnostic markers andtherapeutic 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 necessaryfor gaining insights into the appearance and progression of GBM. Systems biology approaches havebecome indispensable in analyzing heterogeneous high-throughput omics data, extracting essentialinformation, and generating new hypotheses from biomedical data. This review provides currentknowledge regarding GBM and discusses the multi-omics data and recent systems analysis in GBMto identify key biological functions and genes. This knowledge can be used to develop efficientdiagnostic 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