Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/24/4/3075 |
| _version_ | 1797620586956980224 |
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| author | Apurva Badkas Sébastien De Landtsheer Thomas Sauter |
| author_facet | Apurva Badkas Sébastien De Landtsheer Thomas Sauter |
| author_sort | Apurva Badkas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T08:44:42Z |
| format | Article |
| id | doaj.art-2c2827fcf42740da83f459d366d9d54c |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-11T08:44:42Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-2c2827fcf42740da83f459d366d9d54c2023-11-16T20:54:54ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-02-01244307510.3390/ijms24043075Expanding the Disease Network of Glioblastoma Multiforme via Topological AnalysisApurva Badkas0Sébastien De Landtsheer1Thomas Sauter2Department of Life Sciences and Medicine, University of Luxembourg, 2, Avenue de l’Université, L-4365 Esch-sur-Alzette, LuxembourgDepartment of Life Sciences and Medicine, University of Luxembourg, 2, Avenue de l’Université, L-4365 Esch-sur-Alzette, LuxembourgDepartment of Life Sciences and Medicine, University of Luxembourg, 2, Avenue de l’Université, L-4365 Esch-sur-Alzette, LuxembourgGlioblastoma 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.https://www.mdpi.com/1422-0067/24/4/3075glioblastomanetwork analysistopologybetweenness centrality |
| spellingShingle | Apurva Badkas Sébastien De Landtsheer Thomas Sauter Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis International Journal of Molecular Sciences glioblastoma network analysis topology betweenness centrality |
| title | Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis |
| title_full | Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis |
| title_fullStr | Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis |
| title_full_unstemmed | Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis |
| title_short | Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis |
| title_sort | expanding the disease network of glioblastoma multiforme via topological analysis |
| topic | glioblastoma network analysis topology betweenness centrality |
| url | https://www.mdpi.com/1422-0067/24/4/3075 |
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