Literature DB >> 18309032

An FLT3 gene-expression signature predicts clinical outcome in normal karyotype AML.

Lars Bullinger1, Konstanze Döhner, Raphael Kranz, Christoph Stirner, Stefan Fröhling, Claudia Scholl, Young H Kim, Richard F Schlenk, Robert Tibshirani, Hartmut Döhner, Jonathan R Pollack.   

Abstract

Acute myeloid leukemia with normal karyotype (NK-AML) represents a cytogenetic grouping with intermediate prognosis but substantial molecular and clinical heterogeneity. Within this subgroup, presence of FLT3 (FMS-like tyrosine kinase 3) internal tandem duplication (ITD) mutation predicts less favorable outcome. The goal of our study was to discover gene-expression patterns correlated with FLT3-ITD mutation and to evaluate the utility of a FLT3 signature for prognostication. DNA microarrays were used to profile gene expression in a training set of 65 NK-AML cases, and supervised analysis, using the Prediction Analysis of Microarrays method, was applied to build a gene expression-based predictor of FLT3-ITD mutation status. The optimal predictor, composed of 20 genes, was then evaluated by classifying expression profiles from an independent test set of 72 NK-AML cases. The predictor exhibited modest performance (73% sensitivity; 85% specificity) in classifying FLT3-ITD status. Remarkably, however, the signature outperformed FLT3-ITD mutation status in predicting clinical outcome. The signature may better define clinically relevant FLT3 signaling and/or alternative changes that phenocopy FLT3-ITD, whereas the signature genes provide a starting point to dissect these pathways. Our findings support the potential clinical utility of a gene expression-based measure of FLT3 pathway activation in AML.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18309032     DOI: 10.1182/blood-2007-09-115055

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  36 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

2.  Independent component analysis: mining microarray data for fundamental human gene expression modules.

Authors:  Jesse M Engreitz; Bernie J Daigle; Jonathan J Marshall; Russ B Altman
Journal:  J Biomed Inform       Date:  2010-07-07       Impact factor: 6.317

3.  Activating internal tandem duplication mutations of the fms-like tyrosine kinase-3 (FLT3-ITD) at complete response and relapse in patients with acute myeloid leukemia.

Authors:  Aziz Nazha; Jorge Cortes; Stefan Faderl; Sherry Pierce; Naval Daver; Tapan Kadia; Gautam Borthakur; Raja Luthra; Hagop Kantarjian; Farhad Ravandi
Journal:  Haematologica       Date:  2012-04-24       Impact factor: 9.941

4.  Evaluation of gene expression signatures predictive of cytogenetic and molecular subtypes of pediatric acute myeloid leukemia.

Authors:  Brian V Balgobind; Marry M Van den Heuvel-Eibrink; Renee X De Menezes; Dirk Reinhardt; Iris H I M Hollink; Susan T J C M Arentsen-Peters; Elisabeth R van Wering; Gertjan J L Kaspers; Jacqueline Cloos; Evelien S J M de Bont; Jean-Michel Cayuela; Andre Baruchel; Claus Meyer; Rolf Marschalek; Jan Trka; Jan Stary; H Berna Beverloo; Rob Pieters; C Michel Zwaan; Monique L den Boer
Journal:  Haematologica       Date:  2010-10-22       Impact factor: 9.941

Review 5.  Frontline treatment of acute myeloid leukemia in adults.

Authors:  Gevorg Tamamyan; Tapan Kadia; Farhad Ravandi; Gautam Borthakur; Jorge Cortes; Elias Jabbour; Naval Daver; Maro Ohanian; Hagop Kantarjian; Marina Konopleva
Journal:  Crit Rev Oncol Hematol       Date:  2016-12-11       Impact factor: 6.312

6.  Cell of origin determines clinically relevant subtypes of MLL-rearranged AML.

Authors:  A V Krivtsov; M E Figueroa; A U Sinha; M C Stubbs; Z Feng; P J M Valk; R Delwel; K Döhner; L Bullinger; A L Kung; A M Melnick; S A Armstrong
Journal:  Leukemia       Date:  2012-12-13       Impact factor: 11.528

7.  Impact of FLT3-ITD location on sensitivity to TKI-therapy in vitro and in vivo.

Authors:  T Fischer; F H Heidel; P Arreba-Tutusaus; T S Mack; L Bullinger; T M Schnöder; A Polanetzki; S Weinert; A Ballaschk; Z Wang; A J Deshpande; S A Armstrong; K Döhner
Journal:  Leukemia       Date:  2015-10-21       Impact factor: 11.528

8.  Differential niche and Wnt requirements during acute myeloid leukemia progression.

Authors:  Steven W Lane; Yingzi J Wang; Cristina Lo Celso; Christine Ragu; Lars Bullinger; Stephen M Sykes; Francesca Ferraro; Sebastian Shterental; Charles P Lin; D Gary Gilliland; David T Scadden; Scott A Armstrong; David A Williams
Journal:  Blood       Date:  2011-07-15       Impact factor: 22.113

Review 9.  The use of molecular genetics to refine prognosis in acute myeloid leukemia.

Authors:  Bhavana Bhatnagar; Ramiro Garzon
Journal:  Curr Hematol Malig Rep       Date:  2014-06       Impact factor: 3.952

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.