Cargando…

Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy in terms of clinical features, underlying pathogenesis and treatment outcomes. Recent advances in genomic techniques have unraveled the molecular complexity of AML leukemogenesis, which in turn have led to refinement of risk stra...

Descripción completa

Detalles Bibliográficos
Autores principales: Hou, Hsin-An, Tien, Hwei-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372828/
https://www.ncbi.nlm.nih.gov/pubmed/32690020
http://dx.doi.org/10.1186/s12929-020-00674-7
_version_ 1783561390451064832
author Hou, Hsin-An
Tien, Hwei-Fang
author_facet Hou, Hsin-An
Tien, Hwei-Fang
author_sort Hou, Hsin-An
collection PubMed
description Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy in terms of clinical features, underlying pathogenesis and treatment outcomes. Recent advances in genomic techniques have unraveled the molecular complexity of AML leukemogenesis, which in turn have led to refinement of risk stratification and personalized therapeutic strategies for patients with AML. Incorporation of prognostic and druggable genetic biomarkers into clinical practice to guide patient-specific treatment is going to be the mainstay in AML therapeutics. Since 2017 there has been an explosion of novel treatment options to tailor personalized therapy for AML patients. In the past 3 years, the U.S. Food and Drug Administration approved a total of eight drugs for the treatment of AML; most specifically target certain gene mutations, biological pathways, or surface antigen. These novel agents are especially beneficial for older patients or those with comorbidities, in whom the treatment choice is limited and the clinical outcome is very poor. How to balance efficacy and toxicity to further improve patient outcome is clinically relevant. In this review article, we give an overview of the most relevant genetic markers in AML with special focus on the therapeutic implications of these aberrations.
format Online
Article
Text
id pubmed-7372828
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73728282020-07-21 Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies Hou, Hsin-An Tien, Hwei-Fang J Biomed Sci Review Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy in terms of clinical features, underlying pathogenesis and treatment outcomes. Recent advances in genomic techniques have unraveled the molecular complexity of AML leukemogenesis, which in turn have led to refinement of risk stratification and personalized therapeutic strategies for patients with AML. Incorporation of prognostic and druggable genetic biomarkers into clinical practice to guide patient-specific treatment is going to be the mainstay in AML therapeutics. Since 2017 there has been an explosion of novel treatment options to tailor personalized therapy for AML patients. In the past 3 years, the U.S. Food and Drug Administration approved a total of eight drugs for the treatment of AML; most specifically target certain gene mutations, biological pathways, or surface antigen. These novel agents are especially beneficial for older patients or those with comorbidities, in whom the treatment choice is limited and the clinical outcome is very poor. How to balance efficacy and toxicity to further improve patient outcome is clinically relevant. In this review article, we give an overview of the most relevant genetic markers in AML with special focus on the therapeutic implications of these aberrations. BioMed Central 2020-07-21 /pmc/articles/PMC7372828/ /pubmed/32690020 http://dx.doi.org/10.1186/s12929-020-00674-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Hou, Hsin-An
Tien, Hwei-Fang
Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title_full Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title_fullStr Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title_full_unstemmed Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title_short Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
title_sort genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372828/
https://www.ncbi.nlm.nih.gov/pubmed/32690020
http://dx.doi.org/10.1186/s12929-020-00674-7
work_keys_str_mv AT houhsinan genomiclandscapeinacutemyeloidleukemiaanditsimplicationsinriskclassificationandtargetedtherapies
AT tienhweifang genomiclandscapeinacutemyeloidleukemiaanditsimplicationsinriskclassificationandtargetedtherapies