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Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification

Mixed phenotype acute leukemia (MPAL) is a leukemia whose biologic drivers are poorly understood, therapeutic strategy remains unclear, and prognosis is poor. We performed multiomic single cell (SC) profiling of 14 newly diagnosed adult MPAL patients to characterize the immunophenotypic, genetic, an...

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Autores principales: Peretz, Cheryl A. C., Kennedy, Vanessa E., Walia, Anushka, Delley, Cyrille L., Koh, Andrew, Tran, Elaine, Clark, Iain C., Hayford, Corey E., D’Amato, Chris, Xue, Yi, Fontanez, Kristina M., Roy, Ritu, Logan, Aaron C., Perl, Alexander E., Abate, Adam, Olshen, Adam, Smith, Catherine C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245585/
https://www.ncbi.nlm.nih.gov/pubmed/37292835
http://dx.doi.org/10.1101/2023.05.15.540305
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author Peretz, Cheryl A. C.
Kennedy, Vanessa E.
Walia, Anushka
Delley, Cyrille L.
Koh, Andrew
Tran, Elaine
Clark, Iain C.
Hayford, Corey E.
D’Amato, Chris
Xue, Yi
Fontanez, Kristina M.
Roy, Ritu
Logan, Aaron C.
Perl, Alexander E.
Abate, Adam
Olshen, Adam
Smith, Catherine C.
author_facet Peretz, Cheryl A. C.
Kennedy, Vanessa E.
Walia, Anushka
Delley, Cyrille L.
Koh, Andrew
Tran, Elaine
Clark, Iain C.
Hayford, Corey E.
D’Amato, Chris
Xue, Yi
Fontanez, Kristina M.
Roy, Ritu
Logan, Aaron C.
Perl, Alexander E.
Abate, Adam
Olshen, Adam
Smith, Catherine C.
author_sort Peretz, Cheryl A. C.
collection PubMed
description Mixed phenotype acute leukemia (MPAL) is a leukemia whose biologic drivers are poorly understood, therapeutic strategy remains unclear, and prognosis is poor. We performed multiomic single cell (SC) profiling of 14 newly diagnosed adult MPAL patients to characterize the immunophenotypic, genetic, and transcriptional landscapes of MPAL. We show that neither genetic profile nor transcriptome reliably correlate with specific MPAL immunophenotypes. However, progressive acquisition of mutations is associated with increased expression of immunophenotypic markers of immaturity. Using SC transcriptional profiling, we find that MPAL blasts express a stem cell-like transcriptional profile distinct from other acute leukemias and indicative of high differentiation potential. Further, patients with the highest differentiation potential demonstrated inferior survival in our dataset. A gene set score, MPAL95, derived from genes highly enriched in this cohort, is applicable to bulk RNA sequencing data and was predictive of survival in an independent patient cohort, suggesting utility for clinical risk stratification.
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spelling pubmed-102455852023-06-08 Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification Peretz, Cheryl A. C. Kennedy, Vanessa E. Walia, Anushka Delley, Cyrille L. Koh, Andrew Tran, Elaine Clark, Iain C. Hayford, Corey E. D’Amato, Chris Xue, Yi Fontanez, Kristina M. Roy, Ritu Logan, Aaron C. Perl, Alexander E. Abate, Adam Olshen, Adam Smith, Catherine C. bioRxiv Article Mixed phenotype acute leukemia (MPAL) is a leukemia whose biologic drivers are poorly understood, therapeutic strategy remains unclear, and prognosis is poor. We performed multiomic single cell (SC) profiling of 14 newly diagnosed adult MPAL patients to characterize the immunophenotypic, genetic, and transcriptional landscapes of MPAL. We show that neither genetic profile nor transcriptome reliably correlate with specific MPAL immunophenotypes. However, progressive acquisition of mutations is associated with increased expression of immunophenotypic markers of immaturity. Using SC transcriptional profiling, we find that MPAL blasts express a stem cell-like transcriptional profile distinct from other acute leukemias and indicative of high differentiation potential. Further, patients with the highest differentiation potential demonstrated inferior survival in our dataset. A gene set score, MPAL95, derived from genes highly enriched in this cohort, is applicable to bulk RNA sequencing data and was predictive of survival in an independent patient cohort, suggesting utility for clinical risk stratification. Cold Spring Harbor Laboratory 2023-05-18 /pmc/articles/PMC10245585/ /pubmed/37292835 http://dx.doi.org/10.1101/2023.05.15.540305 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Peretz, Cheryl A. C.
Kennedy, Vanessa E.
Walia, Anushka
Delley, Cyrille L.
Koh, Andrew
Tran, Elaine
Clark, Iain C.
Hayford, Corey E.
D’Amato, Chris
Xue, Yi
Fontanez, Kristina M.
Roy, Ritu
Logan, Aaron C.
Perl, Alexander E.
Abate, Adam
Olshen, Adam
Smith, Catherine C.
Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title_full Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title_fullStr Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title_full_unstemmed Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title_short Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification
title_sort multiomic single cell sequencing identifies stemlike nature of mixed phenotype acute leukemia and provides novel risk stratification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245585/
https://www.ncbi.nlm.nih.gov/pubmed/37292835
http://dx.doi.org/10.1101/2023.05.15.540305
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