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Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations
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 an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478658/ https://www.ncbi.nlm.nih.gov/pubmed/34193978 http://dx.doi.org/10.1038/s41375-021-01318-x |
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author | 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 |
author_facet | 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 |
author_sort | Simonetti, Giorgia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8478658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84786582021-10-08 Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations 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 Leukemia Article 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. Nature Publishing Group UK 2021-06-30 2021 /pmc/articles/PMC8478658/ /pubmed/34193978 http://dx.doi.org/10.1038/s41375-021-01318-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title | Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title_full | Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title_fullStr | Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title_full_unstemmed | Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title_short | Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations |
title_sort | integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with npm1 and cohesin/dna damage mutations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478658/ https://www.ncbi.nlm.nih.gov/pubmed/34193978 http://dx.doi.org/10.1038/s41375-021-01318-x |
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