Gene expression profiling of human gliomas reveals differences between GBM and LGA related to energy metabolism and notch signaling pathways

Simple item page
dc.contributor.authorMargareto, Javier
dc.contributor.authorLeis, Olatz
dc.contributor.authorLarrarte, Eider
dc.contributor.authorIdoate, Miguel A.
dc.contributor.authorCarrasco, Alejandro
dc.contributor.authorLafuente, José Vicente
dc.contributor.institutionGenética
dc.contributor.institutionGenerales
dc.date.accessioned2024-07-24T12:07:21Z
dc.date.available2024-07-24T12:07:21Z
dc.date.issued2007-05
dc.description.abstractHuman malignant astrocytic tumors are the most common primary brain malignancies. Human gliomas are classified according to the extent of anaplasia or 'de-differentiation' appearance. Although this type of histological classification is widely accepted, the extensive heterogeneity of astrocytic tumors has made their pathological classification rather difficult. New genome-scale high throughput technologies for gene expression profiling, such as DNA microarrays, are emerging as new tools to allow a more accurate identification and characterization of different tumor degrees by discovering new specific markers and pathways of each stage. Present work reports interesting results that might be useful to differentiate between tumor grades. Data presented here provides new evidences about the molecular basis underlying different tumor stages. In this sense, we identified key metabolic pathways, crucial for tumor progression, as being differentially regulated in different tumor stages. On the other hand, remarkable findings regarding Notch pathway are reported, as some members of this receptor family were found to be differentially expressed depending on the malignancy degree. Our results clearly point out important molecular differences between different tumor stages and suggest that more studies are needed to understand specific molecular events characteristic of each stage. These types of studies represent a first step to deepen into the tumor physiology, which may potentially help for better and a more precise diagnosis of gliomas.en
dc.description.sponsorshipAcknowledgments This work was financially supported by grants 9/212.327-15887 (University of the Basque Country), SAIOTEK (Dpt. Industry. Government of the Basque Country) and by G03/114 Instituto de Salud Carlos III (Spanish Health Ministry).
dc.description.statusPeer reviewed
dc.format.extent11
dc.identifier.citationMargareto , J , Leis , O , Larrarte , E , Idoate , M A , Carrasco , A & Lafuente , J V 2007 , ' Gene expression profiling of human gliomas reveals differences between GBM and LGA related to energy metabolism and notch signaling pathways ' , Journal of Molecular Neuroscience , vol. 32 , no. 1 , pp. 53-63 . https://doi.org/10.1007/s12031-007-0008-5
dc.identifier.doi10.1007/s12031-007-0008-5
dc.identifier.issn0895-8696
dc.identifier.urihttps://hdl.handle.net/11556/3758
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=34548859872&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofJournal of Molecular Neuroscience
dc.relation.projectIDEuskal Herriko Unibertsitatea, EHU
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAstrocytoma
dc.subject.keywordsGlioblastoma
dc.subject.keywordsMicroarray
dc.subject.keywordsNotch pathway
dc.subject.keywordsOxidative phosphorylation
dc.subject.keywordsCellular and Molecular Neuroscience
dc.subject.keywordsSDG 3 - Good Health and Well-being
dc.titleGene expression profiling of human gliomas reveals differences between GBM and LGA related to energy metabolism and notch signaling pathwaysen
dc.typejournal article
Files