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CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones

Acute myeloid leukemia (AML) often presents as an oligoclonal disease whereby multiple genetically distinct subclones can coexist within patients. Differences in signaling and drug sensitivity of such subclones complicate treatment and warrant tools to identify them and track disease progression. We...

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Autores principales: Houtsma, Roos, van der Meer, Nisha K., Meijer, Kees, Morsink, Linde M., Hogeling, Shanna M., Woolthuis, Carolien M., Ammatuna, Emanuele, Nijk, Marije T., de Boer, Bauke, Huls, Gerwin, Mulder, André B., Schuringa, Jan Jacob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006304/
https://www.ncbi.nlm.nih.gov/pubmed/34543390
http://dx.doi.org/10.1182/bloodadvances.2021005018
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author Houtsma, Roos
van der Meer, Nisha K.
Meijer, Kees
Morsink, Linde M.
Hogeling, Shanna M.
Woolthuis, Carolien M.
Ammatuna, Emanuele
Nijk, Marije T.
de Boer, Bauke
Huls, Gerwin
Mulder, André B.
Schuringa, Jan Jacob
author_facet Houtsma, Roos
van der Meer, Nisha K.
Meijer, Kees
Morsink, Linde M.
Hogeling, Shanna M.
Woolthuis, Carolien M.
Ammatuna, Emanuele
Nijk, Marije T.
de Boer, Bauke
Huls, Gerwin
Mulder, André B.
Schuringa, Jan Jacob
author_sort Houtsma, Roos
collection PubMed
description Acute myeloid leukemia (AML) often presents as an oligoclonal disease whereby multiple genetically distinct subclones can coexist within patients. Differences in signaling and drug sensitivity of such subclones complicate treatment and warrant tools to identify them and track disease progression. We previously identified >50 AML-specific plasma membrane (PM) proteins, and 7 of these (CD82, CD97, FLT3, IL1RAP, TIM3, CD25, and CD123) were implemented in routine diagnostics in patients with AML (n = 256) and myelodysplastic syndrome (n = 33). We developed a pipeline termed CombiFlow in which expression data of multiple PM markers is merged, allowing a principal component–based analysis to identify distinctive marker expression profiles and to generate single-cell t-distributed stochastic neighbor embedding landscapes to longitudinally track clonal evolution. Positivity for one or more of the markers after 2 courses of intensive chemotherapy predicted a shorter relapse-free survival, supporting a role for these markers in measurable residual disease (MRD) detection. CombiFlow also allowed the tracking of clonal evolution in paired diagnosis and relapse samples. Extending the panel to 36 AML-specific markers further refined the CombiFlow pipeline. In conclusion, CombiFlow provides a valuable tool in the diagnosis, MRD detection, clonal tracking, and understanding of clonal heterogeneity in AML.
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spelling pubmed-90063042022-04-13 CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones Houtsma, Roos van der Meer, Nisha K. Meijer, Kees Morsink, Linde M. Hogeling, Shanna M. Woolthuis, Carolien M. Ammatuna, Emanuele Nijk, Marije T. de Boer, Bauke Huls, Gerwin Mulder, André B. Schuringa, Jan Jacob Blood Adv Myeloid Neoplasia Acute myeloid leukemia (AML) often presents as an oligoclonal disease whereby multiple genetically distinct subclones can coexist within patients. Differences in signaling and drug sensitivity of such subclones complicate treatment and warrant tools to identify them and track disease progression. We previously identified >50 AML-specific plasma membrane (PM) proteins, and 7 of these (CD82, CD97, FLT3, IL1RAP, TIM3, CD25, and CD123) were implemented in routine diagnostics in patients with AML (n = 256) and myelodysplastic syndrome (n = 33). We developed a pipeline termed CombiFlow in which expression data of multiple PM markers is merged, allowing a principal component–based analysis to identify distinctive marker expression profiles and to generate single-cell t-distributed stochastic neighbor embedding landscapes to longitudinally track clonal evolution. Positivity for one or more of the markers after 2 courses of intensive chemotherapy predicted a shorter relapse-free survival, supporting a role for these markers in measurable residual disease (MRD) detection. CombiFlow also allowed the tracking of clonal evolution in paired diagnosis and relapse samples. Extending the panel to 36 AML-specific markers further refined the CombiFlow pipeline. In conclusion, CombiFlow provides a valuable tool in the diagnosis, MRD detection, clonal tracking, and understanding of clonal heterogeneity in AML. American Society of Hematology 2022-03-30 /pmc/articles/PMC9006304/ /pubmed/34543390 http://dx.doi.org/10.1182/bloodadvances.2021005018 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
spellingShingle Myeloid Neoplasia
Houtsma, Roos
van der Meer, Nisha K.
Meijer, Kees
Morsink, Linde M.
Hogeling, Shanna M.
Woolthuis, Carolien M.
Ammatuna, Emanuele
Nijk, Marije T.
de Boer, Bauke
Huls, Gerwin
Mulder, André B.
Schuringa, Jan Jacob
CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title_full CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title_fullStr CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title_full_unstemmed CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title_short CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones
title_sort combiflow: combinatorial aml-specific plasma membrane expression profiles allow longitudinal tracking of clones
topic Myeloid Neoplasia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006304/
https://www.ncbi.nlm.nih.gov/pubmed/34543390
http://dx.doi.org/10.1182/bloodadvances.2021005018
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