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A strategy for multimodal integration of transcriptomics, proteomics, and radiomics data for the prediction of recurrence in patients with IDH-mutant gliomas

dc.rights.licenseopenen_US
hal.structure.identifierBoRdeaux Institute in onCology [Inserm U1312 - BRIC]
dc.contributor.authorCHOULEUR, Tiffanie
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorETCHEGARAY, Christele
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorVILLAIN, Laura
dc.contributor.authorLESUR, Antoine
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorFERTE, Thomas
dc.contributor.authorROSSI, Marco
hal.structure.identifierBoRdeaux Institute in onCology [Inserm U1312 - BRIC]
dc.contributor.authorANDRIQUE, Laetitia
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSIMONCINI, Costanza
dc.contributor.authorGIACOBBI, Anne-Sophie
dc.contributor.authorGAMBARETTI, Matteo
dc.contributor.authorLOPCI, Egesta
dc.contributor.authorFERNADES, Bethania
dc.contributor.authorDITTMAR, Gunnar
dc.contributor.authorBJERKVIG, Rolf
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHEJBLUM, Boris
ORCID: 0000-0003-0646-452X
IDREF: 189970316
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.contributor.authorSAUT, Olivier
dc.contributor.authorBELLO, Lorenzo
hal.structure.identifierBoRdeaux Institute in onCology [Inserm U1312 - BRIC]
dc.contributor.authorBIKFALVI, Andreas
dc.date.accessioned2025-05-15T13:28:28Z
dc.date.available2025-05-15T13:28:28Z
dc.date.issued2025-04-11
dc.identifier.issn1097-0215en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/206631
dc.description.abstractEnIsocitrate dehydrogenase-mutant gliomas are lethal brain cancers that impair quality of life in young adults. Although less aggressive than glioblastomas, IDH-mutant gliomas invariably progress to incurable disease with unpredictable recurrence. A better classification of patient risk of recurrence is needed. Here, we describe a multimodal analytical pipeline integrating imaging, transcriptomic, and proteomic profiles using machine learning to improve patient stratification with novel signatures of patient risk of recurrence based on gene expression, protein level, and imaging. Additionally, we describe the biological characteristics of IDH-mutant glioma subtypes categorized by positron emission tomography (PET) and histology, and we reinforce the integration of positron emission tomography (PET) metrics in the classification of IDH-mutant gliomas. We identify a gene signature (KRT19, RUNX3, and SCRT2) and a protein signature (ATXN10, EIF4H, ITGAV, and NCAM1) associated with an increased risk of early recurrence. Furthermore, we integrated these markers with imaging-derived features, obtaining a better stratification of IDH-mutant glioma patients in comparison to histomolecular classification alone.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.enIDH‐Mutant Glioma
dc.subject.enMultimodal Integration
dc.subject.enProteomic
dc.subject.enRadiomic
dc.subject.enTranscriptomic
dc.title.enA strategy for multimodal integration of transcriptomics, proteomics, and radiomics data for the prediction of recurrence in patients with IDH-mutant gliomas
dc.title.alternativeInt J Canceren_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/ijc.35441en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed40214613en_US
bordeaux.journalInternational Journal of Canceren_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionINRIAen_US
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.teamSISTM_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAssociation pour la Recherche sur le Canceren_US
hal.identifierhal-05069366
hal.version1
hal.date.transferred2025-05-15T13:28:35Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Cancer&rft.date=2025-04-11&rft.eissn=1097-0215&rft.issn=1097-0215&rft.au=CHOULEUR,%20Tiffanie&ETCHEGARAY,%20Christele&VILLAIN,%20Laura&LESUR,%20Antoine&FERTE,%20Thomas&rft.genre=article


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