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Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes

Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disease characterized by inefficient hematopoiesis and the potential development of acute leukemia. Among the most notable advances in the treatment of MDS is the hypomethylating agent, decitabine (5-aza-2′deoxycytidine). Although de...

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Autores principales: Kim, Seungyoun, Shin, Dong-Yeop, Kim, Dayeon, Oh, Somi, Hong, Junshik, Kim, Inho, Kim, Eunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700444/
https://www.ncbi.nlm.nih.gov/pubmed/34944006
http://dx.doi.org/10.3390/cells10123494
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author Kim, Seungyoun
Shin, Dong-Yeop
Kim, Dayeon
Oh, Somi
Hong, Junshik
Kim, Inho
Kim, Eunju
author_facet Kim, Seungyoun
Shin, Dong-Yeop
Kim, Dayeon
Oh, Somi
Hong, Junshik
Kim, Inho
Kim, Eunju
author_sort Kim, Seungyoun
collection PubMed
description Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disease characterized by inefficient hematopoiesis and the potential development of acute leukemia. Among the most notable advances in the treatment of MDS is the hypomethylating agent, decitabine (5-aza-2′deoxycytidine). Although decitabine is well known as an effective method for treating MDS patients, only a subset of patients respond and a tolerance often develops, leading to treatment failure. Moreover, decitabine treatment is costly and causes unnecessary toxicity. Therefore, clarifying the mechanism of decitabine resistance is important for improving its therapeutic efficacy. To this end, we established a decitabine-resistant F-36P cell line from the parental F-36P leukemia cell line, and applied a genetic approach employing next-generation sequencing, various experimental techniques, and bioinformatics tools to determine differences in gene expression and relationships among genes. Thirty-eight candidate genes encoding proteins involved in decitabine-resistant-related pathways, including immune checkpoints, the regulation of myeloid cell differentiation, and PI3K-Akt signaling, were identified. Interestingly, two of the candidate genes, AKT3 and FOS, were overexpressed in MDS patients with poor prognoses. On the basis of these results, we are pursuing development of a gene chip for diagnosing decitabine resistance in MDS patients, with the goal of ultimately improving the power to predict treatment strategies and the prognosis of MDS patients.
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spelling pubmed-87004442021-12-24 Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes Kim, Seungyoun Shin, Dong-Yeop Kim, Dayeon Oh, Somi Hong, Junshik Kim, Inho Kim, Eunju Cells Article Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disease characterized by inefficient hematopoiesis and the potential development of acute leukemia. Among the most notable advances in the treatment of MDS is the hypomethylating agent, decitabine (5-aza-2′deoxycytidine). Although decitabine is well known as an effective method for treating MDS patients, only a subset of patients respond and a tolerance often develops, leading to treatment failure. Moreover, decitabine treatment is costly and causes unnecessary toxicity. Therefore, clarifying the mechanism of decitabine resistance is important for improving its therapeutic efficacy. To this end, we established a decitabine-resistant F-36P cell line from the parental F-36P leukemia cell line, and applied a genetic approach employing next-generation sequencing, various experimental techniques, and bioinformatics tools to determine differences in gene expression and relationships among genes. Thirty-eight candidate genes encoding proteins involved in decitabine-resistant-related pathways, including immune checkpoints, the regulation of myeloid cell differentiation, and PI3K-Akt signaling, were identified. Interestingly, two of the candidate genes, AKT3 and FOS, were overexpressed in MDS patients with poor prognoses. On the basis of these results, we are pursuing development of a gene chip for diagnosing decitabine resistance in MDS patients, with the goal of ultimately improving the power to predict treatment strategies and the prognosis of MDS patients. MDPI 2021-12-10 /pmc/articles/PMC8700444/ /pubmed/34944006 http://dx.doi.org/10.3390/cells10123494 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Seungyoun
Shin, Dong-Yeop
Kim, Dayeon
Oh, Somi
Hong, Junshik
Kim, Inho
Kim, Eunju
Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title_full Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title_fullStr Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title_full_unstemmed Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title_short Gene Expression Profiles Identify Biomarkers of Resistance to Decitabine in Myelodysplastic Syndromes
title_sort gene expression profiles identify biomarkers of resistance to decitabine in myelodysplastic syndromes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700444/
https://www.ncbi.nlm.nih.gov/pubmed/34944006
http://dx.doi.org/10.3390/cells10123494
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