Literature DB >> 15543237

Identification of new classes among acute myelogenous leukaemias with normal karyotype using gene expression profiling.

Norbert Vey1, Marie-Joëlle Mozziconacci, Agnès Groulet-Martinec, Stéphane Debono, Pascal Finetti, Nadine Carbuccia, Emmanuel Beillard, Elizabeth Devilard, Christine Arnoulet, Diane Coso, Danielle Sainty, Luc Xerri, Anne-Marie Stoppa, Marina Lafage-Pochitaloff, Catherine Nguyen, Rémi Houlgatte, Didier Blaise, Dominique Maraninchi, Françoise Birg, Daniel Birnbaum, François Bertucci.   

Abstract

Conventional cytogenetic analysis currently stratifies acute myelogenous leukaemia (AML) into prognostically relevant groups. However, approximately 50% of adult AMLs have normal cytogenetics (NC-AMLs), and represent a heterogeneous and poorly understood group. We analysed gene expression in 55 AML samples including 53 cases from adult patients with NC-AML (n = 36), trisomy 8, t(15;17), t(8;21), t(11;19), 7q deletion, and two cell lines using 9000-gene DNA microarrays. Global hierarchical clustering showed that NC-AMLs are a heterogeneous group. Supervised analysis distinguished two subgroups of NC-AML: one subgroup constituted a homogeneous NC cluster ('pure NC-AML'), and the other NC-AMLs were close to the AML cases with translocations ('translocation like'). Gene expression signatures were also derived for patients with trisomy 8, as well as FLT3 and MLL gene duplications. Importantly, samples from 24 NC-AML patients who could be evaluated for clinical outcome were analysed. In all, 43 genes that discriminated two classes of patients with significantly different prognosis were identified. The poor prognosis class contained a majority of 'pure NC-AMLs', whereas the 'translocation-like' AMLs were in the good prognosis class. Discriminator genes included genes involved in drug resistance (TOP2B), protein transport (MTX2, SLC35A2), and cell signalling (MAPK1, PRKAB2). Our results demonstrate the transcriptional heterogeneity of NC-AMLs, and suggest the existence of 'translocation-like' NC-AMLs and of a gene expression signature that may predict response to chemotherapy.

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Year:  2004        PMID: 15543237     DOI: 10.1038/sj.onc.1207910

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  15 in total

1.  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

2.  Genetic abnormalities in acute myelogenous leukemia with normal cytogenetics.

Authors:  David Wald; Johanna M Vermaat; Gil Peleg; William Tse
Journal:  Curr Hematol Malig Rep       Date:  2008-04       Impact factor: 3.952

Review 3.  Clinical implications of gene expression profiling of acute myeloid leukemia.

Authors:  Kenneth I Mills; Amanda F Gilkes
Journal:  Curr Hematol Malig Rep       Date:  2006-06       Impact factor: 3.952

4.  Commonly dysregulated genes in murine APL cells.

Authors:  Wenlin Yuan; Jacqueline E Payton; Matthew S Holt; Daniel C Link; Mark A Watson; John F DiPersio; Timothy J Ley
Journal:  Blood       Date:  2006-09-28       Impact factor: 22.113

Review 5.  Molecular prognostic markers for adult acute myeloid leukemia with normal cytogenetics.

Authors:  Tara K Gregory; David Wald; Yichu Chen; Johanna M Vermaat; Yin Xiong; William Tse
Journal:  J Hematol Oncol       Date:  2009-06-02       Impact factor: 17.388

6.  Integrative meta-analysis of differential gene expression in acute myeloid leukemia.

Authors:  Brady G Miller; John A Stamatoyannopoulos
Journal:  PLoS One       Date:  2010-03-01       Impact factor: 3.240

Review 7.  A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects.

Authors:  Bas J Wouters; Bob Löwenberg; Ruud Delwel
Journal:  Blood       Date:  2008-08-14       Impact factor: 22.113

8.  Topoisomerase IIbeta negatively modulates retinoic acid receptor alpha function: a novel mechanism of retinoic acid resistance.

Authors:  Suzan McNamara; Hongling Wang; Nessrine Hanna; Wilson H Miller
Journal:  Mol Cell Biol       Date:  2008-01-22       Impact factor: 4.272

9.  An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia.

Authors:  Klaus H Metzeler; Manuela Hummel; Clara D Bloomfield; Karsten Spiekermann; Jan Braess; Maria-Cristina Sauerland; Achim Heinecke; Michael Radmacher; Guido Marcucci; Susan P Whitman; Kati Maharry; Peter Paschka; Richard A Larson; Wolfgang E Berdel; Thomas Büchner; Bernhard Wörmann; Ulrich Mansmann; Wolfgang Hiddemann; Stefan K Bohlander; Christian Buske
Journal:  Blood       Date:  2008-08-20       Impact factor: 22.113

Review 10.  Myeloid malignancies: mutations, models and management.

Authors:  Anne Murati; Mandy Brecqueville; Raynier Devillier; Marie-Joelle Mozziconacci; Véronique Gelsi-Boyer; Daniel Birnbaum
Journal:  BMC Cancer       Date:  2012-07-23       Impact factor: 4.430

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