Reference : Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis.

	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Multidisciplinary, general & others
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/54560

Title :	Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis.
Language :	English
Author, co-author :	Badkas, Apurva [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)]
	de Landtsheer, Sébastien [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM) >]
	Sauter, Thomas [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)]
Publication date :	2023
Journal title :	International journal of molecular sciences
Volume :	24
Issue/season :	4
Peer reviewed :	Yes
Audience :	International
ISSN :	1422-0067
e-ISSN :	1422-0067
Country :	Switzerland
Keywords :	[en] Humans ; Glioblastoma/metabolism ; Brain Neoplasms/metabolism ; Glioma/genetics ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic ; betweenness centrality ; glioblastoma ; network analysis ; topology
Abstract :	[en] Glioblastoma multiforme (GBM), a grade IV glioma, is a challenging disease for patients and clinicians, with an extremely poor prognosis. These tumours manifest a high molecular heterogeneity, with limited therapeutic options for patients. Since GBM is a rare disease, sufficient statistically strong evidence is often not available to explore the roles of lesser-known GBM proteins. We present a network-based approach using centrality measures to explore some key, topologically strategic proteins for the analysis of GBM. Since network-based analyses are sensitive to changes in network topology, we analysed nine different GBM networks, and show that small but well-curated networks consistently highlight a set of proteins, indicating their likely involvement in the disease. We propose 18 novel candidates which, based on differential expression, mutation analysis, and survival analysis, indicate that they may play a role in GBM progression. These should be investigated further for their functional roles in GBM, their clinical prognostic relevance, and their potential as therapeutic targets.
Permalink :	http://hdl.handle.net/10993/54560

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