Multi-omics dataset to decipher the complexity of drug resistance in diffuse large B-cell lymphoma
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Auteurs |
Luc Fornecker Leslie Muller Frédéric Bertrand Nicodème Paul Angelique Pichot Raoul Herbrecht Marie Pierrette Chenard Laurent Mauvieux Laurent Vallat Seiamak Bahram Sarah Cianferani Raphael Carapito Christine Carapito |
Unité de recherche du site |
Interface Recherche Fondamentale et Appliquée en Cancérologie - IRFAC - UMRS1113 Institut Pluridisciplinaire Hubert Curien - IPHC - UMR7178 Institut de Recherche Mathématique Avancée - IRMA - UMR7501 Immuno-Rhumatologie moléculaire - IRM - UMRS1109 Institut de Génétique et de Biologie Moléculaire et Cellulaire - IGBMC - UMR7104 |
Langue |
en |
Volume |
9 |
Numéro |
1 |
Date de première publication |
2019 |
Titre de la source (revue, livre…) |
Scientific Reports |
Résumé |
The prognosis of patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) remains unsatisfactory and, despite major advances in genomic studies, the biological mechanisms underlying chemoresistance are still poorly understood. We Show moreThe prognosis of patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) remains unsatisfactory and, despite major advances in genomic studies, the biological mechanisms underlying chemoresistance are still poorly understood. We conducted for the first time a large-scale differential multi-omics investigation on DLBCL patient's samples in order to identify new biomarkers that could early identify patients at risk of R/R disease and to identify new targets that could determine chemorefractoriness. We compared a well-characterized cohort of R/R versus chemosensitive DLBCL patients by combining label-free quantitative proteomics and targeted RNA sequencing performed on the same tissues samples. The cross-section of both data levels allowed extracting a sub-list of 22 transcripts/proteins pairs whose expression levels significantly differed between the two groups of patients. In particular, we identified significant targets related to tumor metabolism (Hexokinase 3), microenvironment (IDO1, CXCL13), cancer cells proliferation, migration and invasion (S100 proteins) or BCR signaling pathway (CD79B). Overall, this study revealed several extremely promising biomarker candidates related to DLBCL chemorefractoriness and highlighted some new potential therapeutic drug targets. The complete datasets have been made publically available and should constitute a valuable resource for the future research. Show less |
DOI | 10.1038/s41598-018-37273-4 |
URL éditeur |
https://www.ncbi.nlm.nih.gov/pubmed/30696890 internal-pdf://2891772625/fornecker2019.pdf |
Type de publication |
journal article |
Type de publication |
ACL |
Domaine |
Aucun |
PMCID | PMC6351558 |
Fonction |
aut |
Audience |
Non spécifiée |
URL | https://univoak.eu/islandora/object/islandora:90355 |