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Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis

Objective: This study aimed to identify specific dysregulated genes with potential diagnostic and predictive values for JAK2V617F (+) myelofibrosis. Methods: Two gene expression datasets of CD34(+) hematopoietic stem and progenitor cells (HSPCs) from patients with JAK2V617F (+) myeloproliferative ne...

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Autores principales: Zhao, Yanhong, Wang, Di, Liang, Yipeng, Xu, Changlu, Shi, Lihong, Tong, Jingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434717/
https://www.ncbi.nlm.nih.gov/pubmed/36061178
http://dx.doi.org/10.3389/fgene.2022.927018
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author Zhao, Yanhong
Wang, Di
Liang, Yipeng
Xu, Changlu
Shi, Lihong
Tong, Jingyuan
author_facet Zhao, Yanhong
Wang, Di
Liang, Yipeng
Xu, Changlu
Shi, Lihong
Tong, Jingyuan
author_sort Zhao, Yanhong
collection PubMed
description Objective: This study aimed to identify specific dysregulated genes with potential diagnostic and predictive values for JAK2V617F (+) myelofibrosis. Methods: Two gene expression datasets of CD34(+) hematopoietic stem and progenitor cells (HSPCs) from patients with JAK2V617F (+) myeloproliferative neoplasm (MPN) [n = 66, including polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF)] and healthy controls (HC) (n = 30) were acquired from the GEO (Gene Expression Omnibus) database. The differentially expressed genes (DEGs) were screened between each JAK2V617F (+) MPN entity and HC. Subsequently, functional enrichment analyses, including Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Gene Set Enrichment Analysis (GSEA), were conducted to decipher the important biological effects of DEGs. Protein–protein interaction (PPI) networks of the DEGs were constructed to identify hub genes and significant modules. Another two gene expression profiles of patients with JAK2V617F (+) MPN [n = 23, including PV, ET, secondary myelofibrosis (SMF), and PMF] and HC (n = 6) from GEO were used as external validation datasets to prove the reliability of the identified signatures. Results: KEGG analysis revealed the upregulated genes in three JAK2V617F (+) MPN entities compared with HC were essentially enriched in inflammatory pathways and immune response signaling pathways, and the number of these pathways enriched in PMF was obviously more than that in PV and ET. Following the PPI analysis, 10 genes primarily related to inflammation and immune response were found upregulated in different JAK2V617F (+) MPN entities. In addition, Reactome enrichment analysis indicated that interferon signaling pathways were enriched specifically in PMF but not in PV or ET. Furthermore, several interferon (IFN)-stimulated genes were identified to be uniquely upregulated in JAK2V617F (+) PMF. The external datasets validated the upregulation of four interferon-related genes (OAS1, IFITM3, GBP1, and GBP2) in JAK2V617F (+) myelofibrosis. The receiver operating characteristic (ROC) curves indicate that the four genes have high area under the ROC curve (AUC) values when distinguishing JAK2V617F (+) myelofibrosis from PV or ET. Conclusion: Four interferon-stimulated genes (OAS1, IFITM3, GBP1, and GBP2) exclusively upregulated in JAK2V617F (+) myelofibrosis might have the potential to be the auxiliary molecular diagnostic and predictive indicators of myelofibrosis.
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spelling pubmed-94347172022-09-02 Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis Zhao, Yanhong Wang, Di Liang, Yipeng Xu, Changlu Shi, Lihong Tong, Jingyuan Front Genet Genetics Objective: This study aimed to identify specific dysregulated genes with potential diagnostic and predictive values for JAK2V617F (+) myelofibrosis. Methods: Two gene expression datasets of CD34(+) hematopoietic stem and progenitor cells (HSPCs) from patients with JAK2V617F (+) myeloproliferative neoplasm (MPN) [n = 66, including polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF)] and healthy controls (HC) (n = 30) were acquired from the GEO (Gene Expression Omnibus) database. The differentially expressed genes (DEGs) were screened between each JAK2V617F (+) MPN entity and HC. Subsequently, functional enrichment analyses, including Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Gene Set Enrichment Analysis (GSEA), were conducted to decipher the important biological effects of DEGs. Protein–protein interaction (PPI) networks of the DEGs were constructed to identify hub genes and significant modules. Another two gene expression profiles of patients with JAK2V617F (+) MPN [n = 23, including PV, ET, secondary myelofibrosis (SMF), and PMF] and HC (n = 6) from GEO were used as external validation datasets to prove the reliability of the identified signatures. Results: KEGG analysis revealed the upregulated genes in three JAK2V617F (+) MPN entities compared with HC were essentially enriched in inflammatory pathways and immune response signaling pathways, and the number of these pathways enriched in PMF was obviously more than that in PV and ET. Following the PPI analysis, 10 genes primarily related to inflammation and immune response were found upregulated in different JAK2V617F (+) MPN entities. In addition, Reactome enrichment analysis indicated that interferon signaling pathways were enriched specifically in PMF but not in PV or ET. Furthermore, several interferon (IFN)-stimulated genes were identified to be uniquely upregulated in JAK2V617F (+) PMF. The external datasets validated the upregulation of four interferon-related genes (OAS1, IFITM3, GBP1, and GBP2) in JAK2V617F (+) myelofibrosis. The receiver operating characteristic (ROC) curves indicate that the four genes have high area under the ROC curve (AUC) values when distinguishing JAK2V617F (+) myelofibrosis from PV or ET. Conclusion: Four interferon-stimulated genes (OAS1, IFITM3, GBP1, and GBP2) exclusively upregulated in JAK2V617F (+) myelofibrosis might have the potential to be the auxiliary molecular diagnostic and predictive indicators of myelofibrosis. Frontiers Media S.A. 2022-08-18 /pmc/articles/PMC9434717/ /pubmed/36061178 http://dx.doi.org/10.3389/fgene.2022.927018 Text en Copyright © 2022 Zhao, Wang, Liang, Xu, Shi and Tong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhao, Yanhong
Wang, Di
Liang, Yipeng
Xu, Changlu
Shi, Lihong
Tong, Jingyuan
Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title_full Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title_fullStr Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title_full_unstemmed Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title_short Expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of JAK2V617F (+) myelofibrosis
title_sort expression profiles analysis identifies specific interferon-stimulated signatures as potential diagnostic and predictive indicators of jak2v617f (+) myelofibrosis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434717/
https://www.ncbi.nlm.nih.gov/pubmed/36061178
http://dx.doi.org/10.3389/fgene.2022.927018
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