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Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia

Childhood acute lymphoblastic leukemia (ALL) genomes show that relapses often arise from subclonal outgrowths. However, the impact of clonal evolution on the actionable proteome and response to targeted therapy is not known. Here, we present a comprehensive retrospective analysis of paired ALL diagn...

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Autores principales: Lorentzian, Amanda C., Rever, Jenna, Ergin, Enes K., Guo, Meiyun, Akella, Neha M., Rolf, Nina, James Lim, C., Reid, Gregor S. D., Maxwell, Christopher A., Lange, Philipp F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663560/
https://www.ncbi.nlm.nih.gov/pubmed/37989729
http://dx.doi.org/10.1038/s41467-023-42701-9
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author Lorentzian, Amanda C.
Rever, Jenna
Ergin, Enes K.
Guo, Meiyun
Akella, Neha M.
Rolf, Nina
James Lim, C.
Reid, Gregor S. D.
Maxwell, Christopher A.
Lange, Philipp F.
author_facet Lorentzian, Amanda C.
Rever, Jenna
Ergin, Enes K.
Guo, Meiyun
Akella, Neha M.
Rolf, Nina
James Lim, C.
Reid, Gregor S. D.
Maxwell, Christopher A.
Lange, Philipp F.
author_sort Lorentzian, Amanda C.
collection PubMed
description Childhood acute lymphoblastic leukemia (ALL) genomes show that relapses often arise from subclonal outgrowths. However, the impact of clonal evolution on the actionable proteome and response to targeted therapy is not known. Here, we present a comprehensive retrospective analysis of paired ALL diagnosis and relapsed specimen. Targeted next generation sequencing and proteome analysis indicate persistence of actionable genome variants and stable proteomes through disease progression. Paired viably-frozen biopsies show high correlation of drug response to variant-targeted therapies but in vitro selectivity is low. Proteome analysis prioritizes PARP1 as a pan-ALL target candidate needed for survival following cellular stress; diagnostic and relapsed ALL samples demonstrate robust sensitivity to treatment with two PARP1/2 inhibitors. Together, these findings support initiating prospective precision oncology approaches at ALL diagnosis and emphasize the need to incorporate proteome analysis to prospectively determine tumor sensitivities, which are likely to be retained at disease relapse.
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spelling pubmed-106635602023-11-21 Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia Lorentzian, Amanda C. Rever, Jenna Ergin, Enes K. Guo, Meiyun Akella, Neha M. Rolf, Nina James Lim, C. Reid, Gregor S. D. Maxwell, Christopher A. Lange, Philipp F. Nat Commun Article Childhood acute lymphoblastic leukemia (ALL) genomes show that relapses often arise from subclonal outgrowths. However, the impact of clonal evolution on the actionable proteome and response to targeted therapy is not known. Here, we present a comprehensive retrospective analysis of paired ALL diagnosis and relapsed specimen. Targeted next generation sequencing and proteome analysis indicate persistence of actionable genome variants and stable proteomes through disease progression. Paired viably-frozen biopsies show high correlation of drug response to variant-targeted therapies but in vitro selectivity is low. Proteome analysis prioritizes PARP1 as a pan-ALL target candidate needed for survival following cellular stress; diagnostic and relapsed ALL samples demonstrate robust sensitivity to treatment with two PARP1/2 inhibitors. Together, these findings support initiating prospective precision oncology approaches at ALL diagnosis and emphasize the need to incorporate proteome analysis to prospectively determine tumor sensitivities, which are likely to be retained at disease relapse. Nature Publishing Group UK 2023-11-21 /pmc/articles/PMC10663560/ /pubmed/37989729 http://dx.doi.org/10.1038/s41467-023-42701-9 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lorentzian, Amanda C.
Rever, Jenna
Ergin, Enes K.
Guo, Meiyun
Akella, Neha M.
Rolf, Nina
James Lim, C.
Reid, Gregor S. D.
Maxwell, Christopher A.
Lange, Philipp F.
Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title_full Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title_fullStr Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title_full_unstemmed Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title_short Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
title_sort targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663560/
https://www.ncbi.nlm.nih.gov/pubmed/37989729
http://dx.doi.org/10.1038/s41467-023-42701-9
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