Literature DB >> 16670265

Independent confirmation of a prognostic gene-expression signature in adult acute myeloid leukemia with a normal karyotype: a Cancer and Leukemia Group B study.

Michael D Radmacher1, Guido Marcucci, Amy S Ruppert, Krzysztof Mrózek, Susan P Whitman, James W Vardiman, Peter Paschka, Tamara Vukosavljevic, Claudia D Baldus, Jonathan E Kolitz, Michael A Caligiuri, Richard A Larson, Clara D Bloomfield.   

Abstract

Patients with acute myeloid leukemia (AML) and normal karyotype are classified in an intermediate-risk group, albeit this subset is heterogeneous for clinical outcome. A recent complementary DNA microarray study identified a gene-expression signature that--when used to cluster normal karyotype patients--separated them into 2 prognostically relevant subgroups. We sought the first independent validation of the prognostic value of this signature. Using oligonucleotide microarrays to measure gene expression in samples from uniformly treated adults with karyotypically normal AML, we performed cluster analysis based on the previously identified signature. We also developed a well-defined classification rule using the signature to predict outcome for individual patients. Cluster analysis confirmed the prognostic utility of the signature: patient clusters differed in overall (P = .001) and disease-free (P = .001) survival. The signature-based classifier identified groups with differences in overall (P = .02) and disease-free (P = .05) survival. A strong association of the outcome classifier with the prognostically adverse FLT3 internal tandem duplication (FLT3 ITD) potentially explained the prognostic significance of the signature. However, in the subgroup of patients without FLT3 ITD there was a moderate difference in survival for the classifier-derived groups. Our analysis confirms the applicability of the gene-expression profiling strategy for outcome prediction in cytogenetically normal AML.

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Year:  2006        PMID: 16670265      PMCID: PMC1895508          DOI: 10.1182/blood-2006-02-005538

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


  34 in total

1.  A paradigm for class prediction using gene expression profiles.

Authors:  Michael D Radmacher; Lisa M McShane; Richard Simon
Journal:  J Comput Biol       Date:  2002       Impact factor: 1.479

2.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

3.  Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and identification of subgroups with poor prognosis.

Authors:  Christian Thiede; Christine Steudel; Brigitte Mohr; Markus Schaich; Ulrike Schäkel; Uwe Platzbecker; Martin Wermke; Martin Bornhäuser; Markus Ritter; Andreas Neubauer; Gerhard Ehninger; Thomas Illmer
Journal:  Blood       Date:  2002-06-15       Impact factor: 22.113

Review 4.  Roadmap for developing and validating therapeutically relevant genomic classifiers.

Authors:  Richard Simon
Journal:  J Clin Oncol       Date:  2005-09-06       Impact factor: 44.544

5.  Karyotypic analysis predicts outcome of preremission and postremission therapy in adult acute myeloid leukemia: a Southwest Oncology Group/Eastern Cooperative Oncology Group Study.

Authors:  M L Slovak; K J Kopecky; P A Cassileth; D H Harrington; K S Theil; A Mohamed; E Paietta; C L Willman; D R Head; J M Rowe; S J Forman; F R Appelbaum
Journal:  Blood       Date:  2000-12-15       Impact factor: 22.113

6.  The presence of a FLT3 internal tandem duplication in patients with acute myeloid leukemia (AML) adds important prognostic information to cytogenetic risk group and response to the first cycle of chemotherapy: analysis of 854 patients from the United Kingdom Medical Research Council AML 10 and 12 trials.

Authors:  P D Kottaridis; R E Gale; M E Frew; G Harrison; S E Langabeer; A A Belton; H Walker; K Wheatley; D T Bowen; A K Burnett; A H Goldstone; D C Linch
Journal:  Blood       Date:  2001-09-15       Impact factor: 22.113

7.  Absence of the wild-type allele predicts poor prognosis in adult de novo acute myeloid leukemia with normal cytogenetics and the internal tandem duplication of FLT3: a cancer and leukemia group B study.

Authors:  S P Whitman; K J Archer; L Feng; C Baldus; B Becknell; B D Carlson; A J Carroll; K Mrózek; J W Vardiman; S L George; J E Kolitz; R A Larson; C D Bloomfield; M A Caligiuri
Journal:  Cancer Res       Date:  2001-10-01       Impact factor: 12.701

8.  Prognostic significance of FLT3 internal tandem repeat in patients with de novo acute myeloid leukemia treated with reinforced courses of chemotherapy.

Authors:  N Boissel; J M Cayuela; C Preudhomme; X Thomas; N Grardel; X Fund; I Tigaud; E Raffoux; P Rousselot; F Sigaux; L Degos; S Castaigne; P Fenaux; H Dombret
Journal:  Leukemia       Date:  2002-09       Impact factor: 11.528

9.  Prognostic significance of partial tandem duplications of the MLL gene in adult patients 16 to 60 years old with acute myeloid leukemia and normal cytogenetics: a study of the Acute Myeloid Leukemia Study Group Ulm.

Authors:  Konstanze Döhner; Karen Tobis; Regina Ulrich; Stefan Fröhling; Axel Benner; Richard F Schlenk; Hartmut Döhner
Journal:  J Clin Oncol       Date:  2002-08-01       Impact factor: 44.544

10.  The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

Authors:  Andreas Rosenwald; George Wright; Wing C Chan; Joseph M Connors; Elias Campo; Richard I Fisher; Randy D Gascoyne; H Konrad Muller-Hermelink; Erlend B Smeland; Jena M Giltnane; Elaine M Hurt; Hong Zhao; Lauren Averett; Liming Yang; Wyndham H Wilson; Elaine S Jaffe; Richard Simon; Richard D Klausner; John Powell; Patricia L Duffey; Dan L Longo; Timothy C Greiner; Dennis D Weisenburger; Warren G Sanger; Bhavana J Dave; James C Lynch; Julie Vose; James O Armitage; Emilio Montserrat; Armando López-Guillermo; Thomas M Grogan; Thomas P Miller; Michel LeBlanc; German Ott; Stein Kvaloy; Jan Delabie; Harald Holte; Peter Krajci; Trond Stokke; Louis M Staudt
Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

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  46 in total

1.  Prognostic significance of expression of a single microRNA, miR-181a, in cytogenetically normal acute myeloid leukemia: a Cancer and Leukemia Group B study.

Authors:  Sebastian Schwind; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Kelsi B Holland; Dean Margeson; Susan P Whitman; Christopher Hickey; Heiko Becker; Klaus H Metzeler; Peter Paschka; Claudia D Baldus; Shujun Liu; Ramiro Garzon; Bayard L Powell; Jonathan E Kolitz; Andrew J Carroll; Michael A Caligiuri; Richard A Larson; Guido Marcucci; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2010-11-15       Impact factor: 44.544

2.  A perspective on DNA microarrays in pathology research and practice.

Authors:  Jonathan R Pollack
Journal:  Am J Pathol       Date:  2007-06-28       Impact factor: 4.307

3.  Prognostic significance of, and gene and microRNA expression signatures associated with, CEBPA mutations in cytogenetically normal acute myeloid leukemia with high-risk molecular features: a Cancer and Leukemia Group B Study.

Authors:  Guido Marcucci; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Tamara Vukosavljevic; Peter Paschka; Susan P Whitman; Christian Langer; Claudia D Baldus; Chang-Gong Liu; Amy S Ruppert; Bayard L Powell; Andrew J Carroll; Michael A Caligiuri; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2008-09-22       Impact factor: 44.544

4.  Identification of a 24-gene prognostic signature that improves the European LeukemiaNet risk classification of acute myeloid leukemia: an international collaborative study.

Authors:  Zejuan Li; Tobias Herold; Chunjiang He; Peter J M Valk; Ping Chen; Vindi Jurinovic; Ulrich Mansmann; Michael D Radmacher; Kati S Maharry; Miao Sun; Xinan Yang; Hao Huang; Xi Jiang; Maria-Cristina Sauerland; Thomas Büchner; Wolfgang Hiddemann; Abdel Elkahloun; Mary Beth Neilly; Yanming Zhang; Richard A Larson; Michelle M Le Beau; Michael A Caligiuri; Konstanze Döhner; Lars Bullinger; Paul P Liu; Ruud Delwel; Guido Marcucci; Bob Lowenberg; Clara D Bloomfield; Janet D Rowley; Stefan K Bohlander; Jianjun Chen
Journal:  J Clin Oncol       Date:  2013-02-04       Impact factor: 44.544

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

7.  Applications of microarray technology to Acute Myelogenous Leukemia.

Authors:  Rashmi S Goswami; Mahadeo A Sukhai; Mariam Thomas; Patricia P Reis; Suzanne Kamel-Reid
Journal:  Cancer Inform       Date:  2008-12-22

Review 8.  MicroRNAs: new players in acute myeloid leukaemia.

Authors:  V Havelange; R Garzon; C M Croce
Journal:  Br J Cancer       Date:  2009-08-11       Impact factor: 7.640

9.  Association between a prognostic gene signature and functional gene sets.

Authors:  Manuela Hummel; Klaus H Metzeler; Christian Buske; Stefan K Bohlander; Ulrich Mansmann
Journal:  Bioinform Biol Insights       Date:  2008-09-22

10.  Tipifarnib in the treatment of newly diagnosed acute myelogenous leukemia.

Authors:  Judith E Karp; Jeffrey E Lancet
Journal:  Biologics       Date:  2008-09
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