Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses

The myeloproliferative neoplasms (MPNs) are acquired hematological stem cell neoplasms characterized by driver mutations in <i>JAK2</i>, <i>CALR</i>, or <i>MPL</i>. Additive mutations may appear in predominantly epigenetic regulator, RNA splicing and signaling pat...

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Main Author: Vibe Skov
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/8/2194
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spelling doaj-59e2acc3b14c45b5aaa1aac4511036922020-11-25T02:55:06ZengMDPI AGCancers2072-66942020-08-01122194219410.3390/cancers12082194Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment ResponsesVibe Skov0Department of Hematology, Zealand University Hospital, Vestermarksvej 7-9, 4000 Roskilde, DenmarkThe myeloproliferative neoplasms (MPNs) are acquired hematological stem cell neoplasms characterized by driver mutations in <i>JAK2</i>, <i>CALR</i>, or <i>MPL</i>. Additive mutations may appear in predominantly epigenetic regulator, RNA splicing and signaling pathway genes. These molecular mutations are a hallmark of diagnostic, prognostic, and therapeutic assessment in patients with MPNs. Over the past decade, next generation sequencing (NGS) has identified multiple somatic mutations in MPNs and has contributed substantially to our understanding of the disease pathogenesis highlighting the role of clonal evolution in disease progression. In addition, disease prognostication has expanded from encompassing only clinical decision making to include genomics in prognostic scoring systems. Taking into account the decreasing costs and increasing speed and availability of high throughput technologies, the integration of NGS into a diagnostic, prognostic and therapeutic pipeline is within reach. In this review, these aspects will be discussed highlighting their role regarding disease outcome and treatment modalities in patients with MPNs.https://www.mdpi.com/2072-6694/12/8/2194myeloproliferative neoplasmsessential thrombocythemiapolycythemia veramyelofibrosisnext generation sequencinggene mutations
collection DOAJ
language English
format Article
sources DOAJ
author Vibe Skov
spellingShingle Vibe Skov
Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
Cancers
myeloproliferative neoplasms
essential thrombocythemia
polycythemia vera
myelofibrosis
next generation sequencing
gene mutations
author_facet Vibe Skov
author_sort Vibe Skov
title Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
title_short Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
title_full Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
title_fullStr Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
title_full_unstemmed Next Generation Sequencing in MPNs. Lessons from the Past and Prospects for Use as Predictors of Prognosis and Treatment Responses
title_sort next generation sequencing in mpns. lessons from the past and prospects for use as predictors of prognosis and treatment responses
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-08-01
description The myeloproliferative neoplasms (MPNs) are acquired hematological stem cell neoplasms characterized by driver mutations in <i>JAK2</i>, <i>CALR</i>, or <i>MPL</i>. Additive mutations may appear in predominantly epigenetic regulator, RNA splicing and signaling pathway genes. These molecular mutations are a hallmark of diagnostic, prognostic, and therapeutic assessment in patients with MPNs. Over the past decade, next generation sequencing (NGS) has identified multiple somatic mutations in MPNs and has contributed substantially to our understanding of the disease pathogenesis highlighting the role of clonal evolution in disease progression. In addition, disease prognostication has expanded from encompassing only clinical decision making to include genomics in prognostic scoring systems. Taking into account the decreasing costs and increasing speed and availability of high throughput technologies, the integration of NGS into a diagnostic, prognostic and therapeutic pipeline is within reach. In this review, these aspects will be discussed highlighting their role regarding disease outcome and treatment modalities in patients with MPNs.
topic myeloproliferative neoplasms
essential thrombocythemia
polycythemia vera
myelofibrosis
next generation sequencing
gene mutations
url https://www.mdpi.com/2072-6694/12/8/2194
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