Unraveling the glycosphingolipid metabolism by leveraging transcriptome-weighted network analysis on neuroblastic tumors
Our study demonstrates the utility of adjusting RAS values in discriminating ganglioside metabolism subtypes, highlighting the potential for identifying novel cancer subgroups based on sphingolipid profiles. These findings contribute to a better understanding of ganglioside dysregulation in NT and may have implications for stratification and targeted therapeutic strategies in these tumors and other tumor entities with a deregulated GSL metabolism.
Authors
- Annekathrin Silvia Nedwed (ORCID: https://orcid.org/0000-0002-2475-4945)
- Arsenij Ustjanzew (ORCID: https://orcid.org/0000-0002-1014-4521)
- Claudia Paret (ORCID: https://orcid.org/0000-0002-9094-1634)
- Roger Sandhoff (ORCID: https://orcid.org/0000-0003-3794-9458)
- Fédérico Marini (ORCID: https://orcid.org/0000-0003-3252-7758)
- Jörg Faber
Institutions
- German Cancer Research Center (DE)
- Johannes Gutenberg University Mainz (DE)
- Heidelberg University (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Immune Regulation (United Kingdom) (GB)
Publication Details
- Journal
- Cancer & Metabolism
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1186/s40170-024-00358-y
- Citations
- 4
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 1.14
Funders
- Deutsche Forschungsgemeinschaft
- Universitätsmedizin der Johannes Gutenberg-Universität Mainz