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Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators

Genomic characterization of pediatric patients with acute myeloid leukemia (AML) has led to the discovery of somatic mutations with prognostic implications. Although gene-expression profiling can differentiate subsets of pediatric AML, its clinical utility in risk stratification remains limited. Her...

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Autores principales: Fornerod, Maarten, Ma, Jing, Noort, Sanne, Liu, Yu, Walsh, Michael P., Shi, Lei, Nance, Stephanie, Liu, Yanling, Wang, Yuanyuan, Song, Guangchun, Lamprecht, Tamara, Easton, John, Mulder, Heather L., Yergeau, Donald, Myers, Jacquelyn, Kamens, Jennifer L., Obeng, Esther A., Pigazzi, Martina, Jarosova, Marie, Kelaidi, Charikleia, Polychronopoulou, Sophia, Lamba, Jatinder K., Baker, Sharyn D., Rubnitz, Jeffrey E., Reinhardt, Dirk, van den Heuvel-Eibrink, Marry M., Locatelli, Franco, Hasle, Henrik, Klco, Jeffery M., Downing, James R., Zhang, Jinghui, Pounds, Stanley, Zwaan, C. Michel, Gruber, Tanja A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580615/
https://www.ncbi.nlm.nih.gov/pubmed/34778799
http://dx.doi.org/10.1158/2643-3230.BCD-21-0049
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author Fornerod, Maarten
Ma, Jing
Noort, Sanne
Liu, Yu
Walsh, Michael P.
Shi, Lei
Nance, Stephanie
Liu, Yanling
Wang, Yuanyuan
Song, Guangchun
Lamprecht, Tamara
Easton, John
Mulder, Heather L.
Yergeau, Donald
Myers, Jacquelyn
Kamens, Jennifer L.
Obeng, Esther A.
Pigazzi, Martina
Jarosova, Marie
Kelaidi, Charikleia
Polychronopoulou, Sophia
Lamba, Jatinder K.
Baker, Sharyn D.
Rubnitz, Jeffrey E.
Reinhardt, Dirk
van den Heuvel-Eibrink, Marry M.
Locatelli, Franco
Hasle, Henrik
Klco, Jeffery M.
Downing, James R.
Zhang, Jinghui
Pounds, Stanley
Zwaan, C. Michel
Gruber, Tanja A.
author_facet Fornerod, Maarten
Ma, Jing
Noort, Sanne
Liu, Yu
Walsh, Michael P.
Shi, Lei
Nance, Stephanie
Liu, Yanling
Wang, Yuanyuan
Song, Guangchun
Lamprecht, Tamara
Easton, John
Mulder, Heather L.
Yergeau, Donald
Myers, Jacquelyn
Kamens, Jennifer L.
Obeng, Esther A.
Pigazzi, Martina
Jarosova, Marie
Kelaidi, Charikleia
Polychronopoulou, Sophia
Lamba, Jatinder K.
Baker, Sharyn D.
Rubnitz, Jeffrey E.
Reinhardt, Dirk
van den Heuvel-Eibrink, Marry M.
Locatelli, Franco
Hasle, Henrik
Klco, Jeffery M.
Downing, James R.
Zhang, Jinghui
Pounds, Stanley
Zwaan, C. Michel
Gruber, Tanja A.
author_sort Fornerod, Maarten
collection PubMed
description Genomic characterization of pediatric patients with acute myeloid leukemia (AML) has led to the discovery of somatic mutations with prognostic implications. Although gene-expression profiling can differentiate subsets of pediatric AML, its clinical utility in risk stratification remains limited. Here, we evaluate gene expression, pathogenic somatic mutations, and outcome in a cohort of 435 pediatric patients with a spectrum of pediatric myeloid-related acute leukemias for biological subtype discovery. This analysis revealed 63 patients with varying immunophenotypes that span a T-lineage and myeloid continuum designated as acute myeloid/T-lymphoblastic leukemia (AMTL). Within AMTL, two patient subgroups distinguished by FLT3-ITD and PRC2 mutations have different outcomes, demonstrating the impact of mutational composition on survival. Across the cohort, variability in outcomes of patients within isomutational subsets is influenced by transcriptional identity and the presence of a stem cell–like gene-expression signature. Integration of gene expression and somatic mutations leads to improved risk stratification. SIGNIFICANCE: Immunophenotype and somatic mutations play a significant role in treatment approach and risk stratification of acute leukemia. We conducted an integrated genomic analysis of pediatric myeloid malignancies and found that a combination of genetic and transcriptional readouts was superior to immunophenotype and genomic mutations in identifying biological subtypes and predicting outcomes. This article is highlighted in the In This Issue feature, p. 549
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spelling pubmed-85806152021-11-12 Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators Fornerod, Maarten Ma, Jing Noort, Sanne Liu, Yu Walsh, Michael P. Shi, Lei Nance, Stephanie Liu, Yanling Wang, Yuanyuan Song, Guangchun Lamprecht, Tamara Easton, John Mulder, Heather L. Yergeau, Donald Myers, Jacquelyn Kamens, Jennifer L. Obeng, Esther A. Pigazzi, Martina Jarosova, Marie Kelaidi, Charikleia Polychronopoulou, Sophia Lamba, Jatinder K. Baker, Sharyn D. Rubnitz, Jeffrey E. Reinhardt, Dirk van den Heuvel-Eibrink, Marry M. Locatelli, Franco Hasle, Henrik Klco, Jeffery M. Downing, James R. Zhang, Jinghui Pounds, Stanley Zwaan, C. Michel Gruber, Tanja A. Blood Cancer Discov Research Articles Genomic characterization of pediatric patients with acute myeloid leukemia (AML) has led to the discovery of somatic mutations with prognostic implications. Although gene-expression profiling can differentiate subsets of pediatric AML, its clinical utility in risk stratification remains limited. Here, we evaluate gene expression, pathogenic somatic mutations, and outcome in a cohort of 435 pediatric patients with a spectrum of pediatric myeloid-related acute leukemias for biological subtype discovery. This analysis revealed 63 patients with varying immunophenotypes that span a T-lineage and myeloid continuum designated as acute myeloid/T-lymphoblastic leukemia (AMTL). Within AMTL, two patient subgroups distinguished by FLT3-ITD and PRC2 mutations have different outcomes, demonstrating the impact of mutational composition on survival. Across the cohort, variability in outcomes of patients within isomutational subsets is influenced by transcriptional identity and the presence of a stem cell–like gene-expression signature. Integration of gene expression and somatic mutations leads to improved risk stratification. SIGNIFICANCE: Immunophenotype and somatic mutations play a significant role in treatment approach and risk stratification of acute leukemia. We conducted an integrated genomic analysis of pediatric myeloid malignancies and found that a combination of genetic and transcriptional readouts was superior to immunophenotype and genomic mutations in identifying biological subtypes and predicting outcomes. This article is highlighted in the In This Issue feature, p. 549 American Association for Cancer Research 2021-09-09 /pmc/articles/PMC8580615/ /pubmed/34778799 http://dx.doi.org/10.1158/2643-3230.BCD-21-0049 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs International 4.0 License.
spellingShingle Research Articles
Fornerod, Maarten
Ma, Jing
Noort, Sanne
Liu, Yu
Walsh, Michael P.
Shi, Lei
Nance, Stephanie
Liu, Yanling
Wang, Yuanyuan
Song, Guangchun
Lamprecht, Tamara
Easton, John
Mulder, Heather L.
Yergeau, Donald
Myers, Jacquelyn
Kamens, Jennifer L.
Obeng, Esther A.
Pigazzi, Martina
Jarosova, Marie
Kelaidi, Charikleia
Polychronopoulou, Sophia
Lamba, Jatinder K.
Baker, Sharyn D.
Rubnitz, Jeffrey E.
Reinhardt, Dirk
van den Heuvel-Eibrink, Marry M.
Locatelli, Franco
Hasle, Henrik
Klco, Jeffery M.
Downing, James R.
Zhang, Jinghui
Pounds, Stanley
Zwaan, C. Michel
Gruber, Tanja A.
Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title_full Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title_fullStr Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title_full_unstemmed Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title_short Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators
title_sort integrative genomic analysis of pediatric myeloid-related acute leukemias identifies novel subtypes and prognostic indicators
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580615/
https://www.ncbi.nlm.nih.gov/pubmed/34778799
http://dx.doi.org/10.1158/2643-3230.BCD-21-0049
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