Literature DB >> 19344393

Current status of gene expression profiling in the diagnosis and management of acute leukaemia.

Ulrike Bacher1, Alexander Kohlmann, Torsten Haferlach.   

Abstract

Gene expression profiling (GEP) enables the simultaneous investigation of the expression of tens of thousands of genes and was successfully introduced in leukaemia research a decade ago. Aiming to better understand the diversity of genetic aberrations in acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL), pioneer studies investigated and confirmed the predictability of many cytogenetic and molecular subclasses in AML and ALL. In addition, GEP can define new prognostic subclasses within distinct leukaemia subgroups, as illustrated in AML with normal karyotype. Another approach is the development of treatment-specific sensitivity assays, which might contribute to targeted therapy studies. Finally, GEP might enable the detection of new molecular targets for therapy in patients with acute leukaemia. Meanwhile, large multicentre studies, e.g. the Microarray Innovations in LEukaemia (MILE) study, prepare for a standardised introduction of GEP in leukaemia diagnostic algorithms, aiming to translate this novel methodology into clinical routine for the benefit of patients with the complex disorders of AML and ALL.

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Year:  2009        PMID: 19344393     DOI: 10.1111/j.1365-2141.2009.07656.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  4 in total

1.  Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy.

Authors:  Steven M Kornblau; Mark D Minden; David B Rosen; Santosh Putta; Aileen Cohen; Todd Covey; David C Spellmeyer; Wendy J Fantl; Urte Gayko; Alessandra Cesano
Journal:  Clin Cancer Res       Date:  2010-06-04       Impact factor: 12.531

Review 2.  Genetic tests to evaluate prognosis and predict therapeutic response in acute myeloid leukemia.

Authors:  Margaret L Gulley; Thomas C Shea; Yuri Fedoriw
Journal:  J Mol Diagn       Date:  2009-12-03       Impact factor: 5.568

3.  affyPara-a Bioconductor Package for Parallelized Preprocessing Algorithms of Affymetrix Microarray Data.

Authors:  Markus Schmidberger; Esmeralda Vicedo; Ulrich Mansmann
Journal:  Bioinform Biol Insights       Date:  2009-07-22

4.  Prognostic stratification improvement by integrating ID1/ID3/IGJ gene expression signature and immunophenotypic profile in adult patients with B-ALL.

Authors:  Nataly Cruz-Rodriguez; Alba L Combita; Leonardo J Enciso; Lauren F Raney; Paula L Pinzon; Olga C Lozano; Alba M Campos; Niyireth Peñaloza; Julio Solano; Maria V Herrera; Jovanny Zabaleta; Sandra Quijano
Journal:  J Exp Clin Cancer Res       Date:  2017-02-28
  4 in total

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