Literature DB >> 17124057

Chromosome aberrations, gene mutations and expression changes, and prognosis in adult acute myeloid leukemia.

Krzysztof Mrózek1, Clara D Bloomfield.   

Abstract

Pretreatment clinical features and prognosis of patients with acute myeloid leukemia (AML) are strongly influenced by acquired genetic alterations in leukemic cells, which include microscopically detectable chromosome aberrations and, increasingly, submicroscopic gene mutations and changes in gene expression. Cytogenetic findings separate AML patients into three broad prognostic categories: favorable, intermediate and adverse. The cytogenetic-risk classifications differ somewhat for younger adult patients and those aged 60 years or older. In many instances, patients with specific cytogenetic findings, e.g., those with a normal karyotype or those with either t(8;21)(q22;q22) or inv(16)(p13q22)/t(16;16)(p13;q22) [collectively referred to as core-binding factor (CBF) AML] can be further subdivided into prognostic categories based on the presence or absence of particular gene mutations or changes in gene expression. Importantly, many of these molecular genetic alterations constitute potential targets for risk-adapted therapies. In this article, we briefly review major cytogenetic prognostic categories and discuss molecular genetic findings of prognostic significance in two of the largest cytogenetic groups of patients with AML, namely AML with a normal karyotype and CBF AML.

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Year:  2006        PMID: 17124057     DOI: 10.1182/asheducation-2006.1.169

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  31 in total

1.  Ring chromosome 18 abnormality in acute myelogenous leukemia: the clinical dilemma.

Authors:  Shanthi Sivendran; Stephen Gruenstein; Adriana K Malone; Vesna Najfeld
Journal:  J Hematol Oncol       Date:  2010-07-22       Impact factor: 17.388

Review 2.  Cytogenetic, molecular genetic, and clinical characteristics of acute myeloid leukemia with a complex karyotype.

Authors:  Krzysztof Mrózek
Journal:  Semin Oncol       Date:  2008-08       Impact factor: 4.929

Review 3.  Recent advances and novel agents for FLT3 mutated acute myeloid leukemia.

Authors:  Rahul Pawar; Omar Preet Singh Bali; Bharat Kumar Malhotra; Gurpreet Lamba
Journal:  Stem Cell Investig       Date:  2014-03-20

4.  Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling.

Authors:  Roel G W Verhaak; Bas J Wouters; Claudia A J Erpelinck; Saman Abbas; H Berna Beverloo; Sanne Lugthart; Bob Löwenberg; Ruud Delwel; Peter J M Valk
Journal:  Haematologica       Date:  2008-10-06       Impact factor: 9.941

5.  Karyotypically independent clones with del(11q) and trisomy 10 in acute myeloid leukemia: trisomy 10 may appear as an additional change.

Authors:  Moritaka Gotoh; Yuko Sasaki; Tomotaka Iguchi; Hiroaki Fujimoto; Atsushi Kodama; Hitoshi Kiyoi; Tomoki Naoe; Kazuma Ohyashiki
Journal:  Int J Hematol       Date:  2008-06-20       Impact factor: 2.490

Review 6.  Small molecule inhibitors in acute myeloid leukemia: from the bench to the clinic.

Authors:  Muneera Al-Hussaini; John F DiPersio
Journal:  Expert Rev Hematol       Date:  2014-08       Impact factor: 2.929

7.  Influence of residual normal metaphases in acute myeloid leukemia patients with monosomal karyotype.

Authors:  Bin Xie; Megan Othus; Bruno C Medeiros; Min Fang; Frederick R Appelbaum; Elihu H Estey
Journal:  Haematologica       Date:  2011-02-17       Impact factor: 9.941

8.  KIT proto-oncogene exon 8 deletions at codon 419 are highly frequent in acute myeloid leukaemia with inv(16) in Indian population.

Authors:  Syed Rizwan Hussain; Hena Naqvi; Farzana Mahdi; Cherry Bansal; Sunil G Babu
Journal:  Mol Biotechnol       Date:  2013-06       Impact factor: 2.695

9.  Additional chromosomal abnormalities detected by array comparative genomic hybridization in AML.

Authors:  Ana Rosa S Costa; Sintia I Belangero; Maria Isabel Melaragno; Maria de Lourdes Chauffaille
Journal:  Med Oncol       Date:  2011-11-25       Impact factor: 3.064

10.  Expression profile and specific network features of the apoptotic machinery explain relapse of acute myeloid leukemia after chemotherapy.

Authors:  Marco Ragusa; Giuseppe Avola; Rosario Angelica; Davide Barbagallo; Maria Rosa Guglielmino; Laura R Duro; Alessandra Majorana; Luisa Statello; Loredana Salito; Carla Consoli; Maria Grazia Camuglia; Cinzia Di Pietro; Giuseppe Milone; Michele Purrello
Journal:  BMC Cancer       Date:  2010-07-19       Impact factor: 4.430

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