Construction of a PCR-based panel of gene expression and DNA methylation features for the classification of Glioblastoma subtypes

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dc.contributor Fernández De Mattos, Silvia Elena
dc.contributor Marzese Parrilli, Diego
dc.contributor.author Enseñat Méndez, Miguel Arash
dc.date 2019
dc.date.accessioned 2020-12-16T11:53:25Z
dc.date.issued 2019-09-15
dc.identifier.uri http://hdl.handle.net/11201/154635
dc.description.abstract [eng] Glioblastoma (GBM) is the most prevalent and aggressive primary brain tumor, with a median survival of around 15 months. Advancements on multi-omic profiling in combination with computational algorithms have unraveled the existence of four GBM molecular subtypes (Classical, Mesenchymal, Neural, and Proneural). However, GBM patients are not currently classified in clinical settings due to the high cost of the current classification techniques. Using supervised machine learnings with publicly available gene expression and DNA methylation data from The Cancer Genome Atlas (TCGA), we have constructed robust classifiers that require a minimum number of genomic features. Thus, to improve the translation of these findings and increase the chances for a nearterm application in our health system, we developed PCR-based panels that survey the informative gene expression or DNA methylation markers. This approach provides a novel cost-effective method to stratify GBM patients for precision medicine. These panels have the potential to be used in a daily clinical setting to classify GBM patients and potentially adapt the therapeutic management. As a corollary of our study, we found that each GBM subtype presents unique DNA methylation patterns and pathways activation. These findings posed us to explore alternative, GBM subtype-specific drugs that target these pathways, thus potentially increasing the efficacy of currently used drugs and extending the survival of these patients. ca
dc.format application/pdf
dc.language.iso eng ca
dc.publisher Universitat de les Illes Balears
dc.rights info:eu-repo/semantics/openAccess
dc.rights all rights reserved
dc.subject 62 - Enginyeria. Tecnologia ca
dc.subject 57 - Biologia
dc.title Construction of a PCR-based panel of gene expression and DNA methylation features for the classification of Glioblastoma subtypes ca
dc.type info:eu-repo/semantics/masterThesis ca
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2019-11-29T10:51:09Z
dc.date.embargoEndDate info:eu-repo/date/embargoEnd/2050-01-01
dc.embargo 2050-01-01
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess


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