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Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations

Authors :
Samantha Bruno
Andrea Ghelli Luserna di Rorà
Anna Maria Ferrari
Giovanni Marconi
Rossella De Tommaso
Carlo Mengucci
Maria Teresa Bochicchio
Cristina Papayannidis
Margherita Perricone
Antonella Padella
Francesco Capozzi
Claudio Delpino
Torsten Haferlach
Jacopo Nanni
Emanuela Ottaviani
Emanuela Scarpi
Martina Pazzaglia
Gastone Castellani
Eugenia Franchini
Giovanni Martinelli
Gianfranco Picone
Martina Ghetti
Annalisa Astolfi
Maria Chiara Fontana
Ilaria Iacobucci
Giorgia Simonetti
Michele Cavo
Roberta Napolitano
Viviana Guadagnuolo
Michela Tebaldi
Eugenio Fonzi
Daniel Remondini
Carmen Baldazzi
Simonetti, Giorgia
Mengucci, Carlo
Padella, Antonella
Fonzi, Eugenio
Picone, Gianfranco
Delpino, Claudio
Nanni, Jacopo
De Tommaso, Rossella
Franchini, Eugenia
Papayannidis, Cristina
Marconi, Giovanni
Pazzaglia, Martina
Perricone, Margherita
Scarpi, Emanuela
Fontana, Maria Chiara
Bruno, Samantha
Tebaldi, Michela
Ferrari, Anna
Bochicchio, Maria Teresa
Ghelli Luserna Di Rorà, Andrea
Ghetti, Martina
Napolitano, Roberta
Astolfi, Annalisa
Baldazzi, Carmen
Guadagnuolo, Viviana
Ottaviani, Emanuela
Iacobucci, Ilaria
Cavo, Michele
Castellani, Gastone
Haferlach, Torsten
Remondini, Daniel
Capozzi, Francesco
Martinelli, Giovanni
Source :
Leukemia
Publication Year :
2021

Abstract

Although targeting of cell metabolism is a promising therapeutic strategy in acute myeloid leukemia (AML), metabolic dependencies are largely unexplored. We aimed to classify AML patients based on their metabolic landscape and map connections between metabolic and genomic profiles. Combined serum and urine metabolomics improved AML characterization compared with individual biofluid analysis. At intracellular level, AML displayed dysregulated amino acid, nucleotide, lipid, and bioenergetic metabolism. The integration of intracellular and biofluid metabolomics provided a map of alterations in the metabolism of polyamine, purine, keton bodies and polyunsaturated fatty acids and tricarboxylic acid cycle. The intracellular metabolome distinguished three AML clusters, correlating with distinct genomic profiles: NPM1-mutated(mut), chromatin/spliceosome-mut and TP53-mut/aneuploid AML that were confirmed by biofluid analysis. Interestingly, integrated genomic-metabolic profiles defined two subgroups of NPM1-mut AML. One was enriched for mutations in cohesin/DNA damage-related genes (NPM1/cohesin-mut AML) and showed increased serum choline + trimethylamine-N-oxide and leucine, higher mutation load, transcriptomic signatures of reduced inflammatory status and better ex-vivo response to EGFR and MET inhibition. The transcriptional differences of enzyme-encoding genes between NPM1/cohesin-mut and NPM1-mut allowed in silico modeling of intracellular metabolic perturbations. This approach predicted alterations in NAD and purine metabolism in NPM1/cohesin-mut AML that suggest potential vulnerabilities, worthy of being therapeutically explored.

Details

Language :
English
Database :
OpenAIRE
Journal :
Leukemia
Accession number :
edsair.doi.dedup.....16d1620846c56e989a1a90f1eceb54ba