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Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models

BACKGROUND: In Philadelphia chromosome-negative myeloproliferative neoplasm (MPN) models, reactive oxygen species (ROS) are elevated and have been implicated in genomic instability, JAK2/STAT signaling amplification, and disease progression. Although the potential effects of ROS on the MPN phenotype...

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Autores principales: Lima, Keli, Lopes, Lucia Rossetti, Machado-Neto, João Agostinho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Hematologia e Hemoterapia 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573030/
https://www.ncbi.nlm.nih.gov/pubmed/32962959
http://dx.doi.org/10.1016/j.htct.2020.08.006
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author Lima, Keli
Lopes, Lucia Rossetti
Machado-Neto, João Agostinho
author_facet Lima, Keli
Lopes, Lucia Rossetti
Machado-Neto, João Agostinho
author_sort Lima, Keli
collection PubMed
description BACKGROUND: In Philadelphia chromosome-negative myeloproliferative neoplasm (MPN) models, reactive oxygen species (ROS) are elevated and have been implicated in genomic instability, JAK2/STAT signaling amplification, and disease progression. Although the potential effects of ROS on the MPN phenotype, the effects of ruxolitinib treatment on ROS regulation have been poorly explored. Herein, we have reported the impact of ruxolitinib on redox signaling transcriptional network, and the effects of diphenyleneiodonium (DPI), a pan NOX inhibitor, in JAK2(V617F)-driven cellular models. METHOD: Redox signaling-related genes were investigated in SET2 cells upon ruxolitinib treatment by RNA-seq (GEO accession GSE69827). SET2 and HEL cells, which represent JAK2(V617F)-positive MPN cellular models with distinct sensitivity to apoptosis induced by ruxolitinib, were used. Cell viability was evaluated by MTT, apoptosis by annexin V/PI and flow cytometry, and cell signaling by quantitative PCR and Western blot. MAIN RESULTS: Ruxolitinib impacted on a network composed of redox signaling-related genes, and DUOX1 and DUOX2 were identified as potential modulators of ruxolitinib response. In SET2 and HEL cells, DPI reduced cell viability and, at low doses, it significantly potentiated ruxolitinib-induced apoptosis. In the molecular scenario, DPI inhibited STAT3, STAT5 and S6 ribosomal protein phosphorylation and induced PARP1 cleavage in JAK2(V617F)-positive cells. DPI combined with ruxolitinib increased PARP1 cleavage in SET2 cells and potentiated ruxolitinib-reduced STAT3, STAT5 and S6 ribosomal protein in HEL cells. CONCLUSION: Our study reveals a potential adaptation mechanism for resistance against ruxolitinib by transcriptionally reprogramming redox signaling in JAK2(V617F) cells and exposes redox vulnerabilities with therapeutic value in MPN cellular models.
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spelling pubmed-85730302021-11-10 Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models Lima, Keli Lopes, Lucia Rossetti Machado-Neto, João Agostinho Hematol Transfus Cell Ther Original Article BACKGROUND: In Philadelphia chromosome-negative myeloproliferative neoplasm (MPN) models, reactive oxygen species (ROS) are elevated and have been implicated in genomic instability, JAK2/STAT signaling amplification, and disease progression. Although the potential effects of ROS on the MPN phenotype, the effects of ruxolitinib treatment on ROS regulation have been poorly explored. Herein, we have reported the impact of ruxolitinib on redox signaling transcriptional network, and the effects of diphenyleneiodonium (DPI), a pan NOX inhibitor, in JAK2(V617F)-driven cellular models. METHOD: Redox signaling-related genes were investigated in SET2 cells upon ruxolitinib treatment by RNA-seq (GEO accession GSE69827). SET2 and HEL cells, which represent JAK2(V617F)-positive MPN cellular models with distinct sensitivity to apoptosis induced by ruxolitinib, were used. Cell viability was evaluated by MTT, apoptosis by annexin V/PI and flow cytometry, and cell signaling by quantitative PCR and Western blot. MAIN RESULTS: Ruxolitinib impacted on a network composed of redox signaling-related genes, and DUOX1 and DUOX2 were identified as potential modulators of ruxolitinib response. In SET2 and HEL cells, DPI reduced cell viability and, at low doses, it significantly potentiated ruxolitinib-induced apoptosis. In the molecular scenario, DPI inhibited STAT3, STAT5 and S6 ribosomal protein phosphorylation and induced PARP1 cleavage in JAK2(V617F)-positive cells. DPI combined with ruxolitinib increased PARP1 cleavage in SET2 cells and potentiated ruxolitinib-reduced STAT3, STAT5 and S6 ribosomal protein in HEL cells. CONCLUSION: Our study reveals a potential adaptation mechanism for resistance against ruxolitinib by transcriptionally reprogramming redox signaling in JAK2(V617F) cells and exposes redox vulnerabilities with therapeutic value in MPN cellular models. Sociedade Brasileira de Hematologia e Hemoterapia 2021 2020-09-13 /pmc/articles/PMC8573030/ /pubmed/32962959 http://dx.doi.org/10.1016/j.htct.2020.08.006 Text en © 2020 Associação Brasileira de Hematologia, Hemoterapia e Terapia Celular. Published by Elsevier Editora Ltda. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Lima, Keli
Lopes, Lucia Rossetti
Machado-Neto, João Agostinho
Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title_full Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title_fullStr Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title_full_unstemmed Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title_short Exploring redox vulnerabilities in JAK2(V617F)-positive cellular models
title_sort exploring redox vulnerabilities in jak2(v617f)-positive cellular models
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573030/
https://www.ncbi.nlm.nih.gov/pubmed/32962959
http://dx.doi.org/10.1016/j.htct.2020.08.006
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