Literature DB >> 24726781

Role of genotype-based approach in the clinical management of adult acute myeloid leukemia with normal cytogenetics.

Antonia Cagnetta1, Sophia Adamia2, Chirag Acharya2, Franco Patrone3, Maurizio Miglino3, Alessio Nencioni3, Marco Gobbi3, Michele Cea4.   

Abstract

Acute myeloid leukemia (AML) is the most common form of acute leukemia affecting adults. Although it is a complex disease driven by numerous genetic and epigenetic abnormalities, nearly 50% of patients exhibit a normal karyotype (CN-AML) with an intermediate cytogenetic risk. However, a widespread genomic analysis has recently shown the recurrence of genomic aberrations in this category (mutations of FLT3, CEBPA, NPM1, RUNX1, TET2, IDH1/2, DNMT3A, ASXL1, MLL and WT1) thus revealing its marked genomic heterogeneity. In this perspective, a global gene expression analysis of AML patients provides an independent prognostic marker to categorize each patient into clinic-pathologic subgroups based on its molecular genetic defects. Consistently such classification, taking into account the uniqueness of each AML patient, furnishes an individualized treatment approach leading a step closer to personalized medicine. Overall the genome-wide analysis of AML patients, by providing novel insights into biology of this tumor, furnishes accurate prognostic markers as well as useful tools for selecting the most appropriate treatment option. Moreover it provides novel therapeutic targets useful to enhance efficacy of the current anti-AML therapeutics. Here we describe the prognostic relevance of such new genetic data and discuss how this approach can be used to improve survival and treatment of AML patients.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  AML; Genomic heterogeneity; Minimal residual disease; Mutations; Prognosis

Mesh:

Substances:

Year:  2014        PMID: 24726781     DOI: 10.1016/j.leukres.2014.03.006

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  17 in total

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