Analysis of epitranscriptome for grading of glioma ; Analyse de l'épitranscriptome pour la détermination du grade des gliomes ; Analysis of epitranscriptome for grading of glioma: Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics
In: Symposium on Cancer genomics and epitranscriptomics: from the bench to the clinic, 2022
Online
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Zugriff:
International audience ; 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 conventional therapy. In this study, we have designed a unique pipeline combining multiplex analysis of the epitranscriptomic landscape by high-performance liquid chromatography coupled to tandem mass spectrometry with statistical multivariate analysis and machine learning approaches in order to identify biomarker signatures that could guide precision medicine and improve disease diagnosis. We applied this approach to analyze a cohort of adult diffuse glioma patients and demonstrate the existence of an “epitranscriptomics-based signature” that permits glioma grades to be discriminated and predicted with unmet accuracy. This study demonstrates that epitranscriptomics (co)evolves along cancer progression and opens new prospects in the field of omics molecular profiling and personalized medicine.
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Analysis of epitranscriptome for grading of glioma ; Analyse de l'épitranscriptome pour la détermination du grade des gliomes ; Analysis of epitranscriptome for grading of glioma: Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics
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Autor/in / Beteiligte Person: | Rivals, Eric ; Méthodes et Algorithmes pour la Bioinformatique (LIRMM ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) ; Occitanie Region/FEDER (PPRi, SMART project), INCa DA N°2020-116 (AAP PLBIO 2020 - DAVID), Ligue contre le Cancer, SIRIC Montpellier Cancer (INCa-DGOS-Inserm 6045), CHU Montpellier, ARTC Sud, Des Etoiles dans la Mer, and Cancéropole GSO. ; Comprehensive Cancer Center (CIC), University of Salamanca |
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Zeitschrift: | Symposium on Cancer genomics and epitranscriptomics: from the bench to the clinic, 2022 |
Veröffentlichung: | HAL CCSD, 2022 |
Medientyp: | Konferenz |
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