Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784596638259478528 |
---|---|
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 |
format | Online Article Text |
id | pubmed-8580615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fornerodmaarten integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT majing integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT noortsanne integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT liuyu integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT walshmichaelp integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT shilei integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT nancestephanie integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT liuyanling integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT wangyuanyuan integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT songguangchun integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT lamprechttamara integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT eastonjohn integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT mulderheatherl integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT yergeaudonald integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT myersjacquelyn integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT kamensjenniferl integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT obengesthera integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT pigazzimartina integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT jarosovamarie integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT kelaidicharikleia integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT polychronopoulousophia integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT lambajatinderk integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT bakersharynd integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT rubnitzjeffreye integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT reinhardtdirk integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT vandenheuveleibrinkmarrym integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT locatellifranco integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT haslehenrik integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT klcojefferym integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT downingjamesr integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT zhangjinghui integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT poundsstanley integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT zwaancmichel integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators AT grubertanjaa integrativegenomicanalysisofpediatricmyeloidrelatedacuteleukemiasidentifiesnovelsubtypesandprognosticindicators |