biostudies-literatureRelier SLigue Contre le CancerCancerop?le Grand Sud OuestDes ?toiles dans la MerInstitut National Du CancerInstitut du Cancer de MontpellierAssociation pour la Recherche sur les Tumeurs C?r?bralesEuropean Regional Development FundR?gion Occitanie Pyr?n?es-M?diterran?eCentre Hospitalier R?gional Universitaire de Montpellier11967-11972https://www.ebi.ac.uk/biostudies/studies/S-EPMC9453740biostudies-literatureUnknown94(35)One of the main challenges in cancer management relates to the discovery of reliable biomarkers, which could guide decision-making and predict treatment outcome. In particular, the rise and democratization of high-throughput molecular profiling technologies bolstered the discovery of "biomarker signatures" that could maximize the prediction performance. Such an approach was largely employed from diverse OMICs data (i.e., genomics, transcriptomics, proteomics, metabolomics) but not from epitranscriptomics, which encompasses more than 100 biochemical modifications driving the post-transcriptional fate of RNA: stability, splicing, storage, and translation. We and others have studied chemical marks in isolation and associated them with cancer evolution, adaptation, as well as the response to cAnalytical chemistryMultivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics.PMC94537402020-116INCa-DGOS-Inserm 6045Fontaine DBurel Vandenbos FRelier SDavid AAmalric ADuffau HAttina AHirtz CKoumare IBRivals EHugnot JPBaroncini MBauchet LRigau VfalseMultivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics.One of the main challenges in cancer management relates to the discovery of reliable biomarkers, which could guide decision-making and predict treatment outcome. In particular, the rise and democratization of high-throughput molecular profiling technologies bolstered the discovery of "biomarker signatures" that could maximize the prediction performance. Such an approach was largely employed from diverse OMICs data (i.e., genomics, transcriptomics, proteomics, metabolomics) but not from epitranscriptomics, which encompasses more than 100 biochemical modifications driving the post-transcriptional fate of RNA: stability, splicing, storage, and translation. We and others have studied chemical marks in isolation and associated them with cancer evolution, adaptation, as well as the response to c2022-01-01T00:00:00Z2022 Sep2025-04-18T15:35:08.893Z2025-04-07T02:20:31.593ZS-EPMC94537403599807610.1021/acs.analchem.2c01526