Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies

Next generation sequencing (NGS) is routinely used for mutation profiling of acute myeloid leukemia. The extensive application of NGS in hematologic malignancies, and its significant association with the outcomes in multiple large cohorts constituted a proof of concept that AML phenotype is driven b...

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Main Authors: Hanadi El Achi, Rashmi Kanagal-Shamanna
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
AML
FDA
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.748250/full
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spelling doaj-1c14efc8639a4b63a53a44d590fa83c12021-09-30T07:32:28ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-09-011110.3389/fonc.2021.748250748250Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic StrategiesHanadi El AchiRashmi Kanagal-ShamannaNext generation sequencing (NGS) is routinely used for mutation profiling of acute myeloid leukemia. The extensive application of NGS in hematologic malignancies, and its significant association with the outcomes in multiple large cohorts constituted a proof of concept that AML phenotype is driven by underlying mutational signature and is amenable for targeted therapies. These findings urged incorporation of molecular results into the latest World Health Organization (WHO) sub-classification and integration into risk-stratification and treatment guidelines by the European Leukemia Net. NGS mutation profiling provides a large amount of information that guides diagnosis and management, dependent on the type and number of gene mutations, variant allele frequency and amenability to targeted therapeutics. Hence, molecular mutational profiling is an integral component for work-up of AML and multiple leukemic entities. In addition, there is a vast amount of informative data that can be obtained from routine clinical NGS sequencing beyond diagnosis, prognostication and therapeutic targeting. These include identification of evidence regarding the ontogeny of the disease, underlying germline predisposition and clonal hematopoiesis, serial monitoring to assess the effectiveness of therapy and resistance mutations, which have broader implications for management. In this review, using a few prototypic genes in AML, we will summarize the clinical applications of NGS generated data for optimal AML management, with emphasis on the recently described entities and Food and Drug Administration approved target therapies.https://www.frontiersin.org/articles/10.3389/fonc.2021.748250/fullAMLacute myeloid leukemianext generation sequencingactionable mutationstargeted therapyFDA
collection DOAJ
language English
format Article
sources DOAJ
author Hanadi El Achi
Rashmi Kanagal-Shamanna
spellingShingle Hanadi El Achi
Rashmi Kanagal-Shamanna
Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
Frontiers in Oncology
AML
acute myeloid leukemia
next generation sequencing
actionable mutations
targeted therapy
FDA
author_facet Hanadi El Achi
Rashmi Kanagal-Shamanna
author_sort Hanadi El Achi
title Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
title_short Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
title_full Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
title_fullStr Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
title_full_unstemmed Biomarkers in Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data for Optimal Therapeutic Strategies
title_sort biomarkers in acute myeloid leukemia: leveraging next generation sequencing data for optimal therapeutic strategies
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-09-01
description Next generation sequencing (NGS) is routinely used for mutation profiling of acute myeloid leukemia. The extensive application of NGS in hematologic malignancies, and its significant association with the outcomes in multiple large cohorts constituted a proof of concept that AML phenotype is driven by underlying mutational signature and is amenable for targeted therapies. These findings urged incorporation of molecular results into the latest World Health Organization (WHO) sub-classification and integration into risk-stratification and treatment guidelines by the European Leukemia Net. NGS mutation profiling provides a large amount of information that guides diagnosis and management, dependent on the type and number of gene mutations, variant allele frequency and amenability to targeted therapeutics. Hence, molecular mutational profiling is an integral component for work-up of AML and multiple leukemic entities. In addition, there is a vast amount of informative data that can be obtained from routine clinical NGS sequencing beyond diagnosis, prognostication and therapeutic targeting. These include identification of evidence regarding the ontogeny of the disease, underlying germline predisposition and clonal hematopoiesis, serial monitoring to assess the effectiveness of therapy and resistance mutations, which have broader implications for management. In this review, using a few prototypic genes in AML, we will summarize the clinical applications of NGS generated data for optimal AML management, with emphasis on the recently described entities and Food and Drug Administration approved target therapies.
topic AML
acute myeloid leukemia
next generation sequencing
actionable mutations
targeted therapy
FDA
url https://www.frontiersin.org/articles/10.3389/fonc.2021.748250/full
work_keys_str_mv AT hanadielachi biomarkersinacutemyeloidleukemialeveragingnextgenerationsequencingdataforoptimaltherapeuticstrategies
AT rashmikanagalshamanna biomarkersinacutemyeloidleukemialeveragingnextgenerationsequencingdataforoptimaltherapeuticstrategies
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