Literature DB >> 17577018

High expression levels of the ETS-related gene, ERG, predict adverse outcome and improve molecular risk-based classification of cytogenetically normal acute myeloid leukemia: a Cancer and Leukemia Group B Study.

Guido Marcucci1, Kati Maharry, Susan P Whitman, Tamara Vukosavljevic, Peter Paschka, Christian Langer, Krzysztof Mrózek, Claudia D Baldus, Andrew J Carroll, Bayard L Powell, Jonathan E Kolitz, Richard A Larson, Clara D Bloomfield.   

Abstract

PURPOSE: To validate ERG overexpression as an adverse predictor and assess its prognostic value in the context of other molecular markers in cytogenetically normal (CN) -acute myeloid leukemia (AML). PATIENTS AND METHODS: Seventy-six adult patients with primary CN-AML, younger than 60 years and treated on Cancer and Leukemia Group B (CALGB) trial 19808, were evaluated for ERG expression by quantitative reverse transcriptase polymerase chain reaction. They were then combined with 72 patients enrolled onto CALGB 9621 for analyses that included other molecular markers.
RESULTS: Similar to patients enrolled onto CALGB 9621, high ERG expressers on CALGB 19808 had fewer complete remissions (CRs; P = .03) and worse event-free survival (EFS; P = .016) than low ERG expressers. In the combined set, high expressers (n = 55) had fewer CRs (P = .004) and shorter EFS (P < .001) than low expressers (n = 93). High ERG predicted failure to achieve CR (P = .004) after adjusting for BAALC expression (P = .04) and age (P = .008), and EFS (P = .004) after adjusting for FLT3 internal tandem duplication (ITD; P < .001). Among patients without FLT3-ITD (FLT3-ITD negative), only high ERG predicted shorter EFS (P = .001). Among NPM1-mutated (NPM1 positive) patients, high ERG predicted shorter EFS (P = .003), after adjusting for FLT3-ITD (P < .001). When all three markers were considered together, in the favorable FLT3-ITD-negative/NPM1-positive subset, high ERG was the only factor predicting shorter EFS (P = .002).
CONCLUSION: We validated ERG overexpression as an adverse predictor in CN-AML. Moreover, by using ERG expression levels, we improved the previously proposed molecular-risk classification of CN-AML based on the presence or absence of FLT3-ITD and NPM1 mutations, given that we identified subsets with different outcome among FLT3-ITD-negative, NPM1-positive, and FLT3-ITD-negative/NPM1-positive patients.

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Year:  2007        PMID: 17577018     DOI: 10.1200/JCO.2007.10.8720

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  75 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.  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

3.  XXIII International Association for Comparative Research on Leukemia and Related Diseases Symposium: from molecular pathogenesis to targeted therapy in leukemia and solid tumors.

Authors:  Björn Hackanson; Heiko Becker; Tobias Berg; Mascha Binder; Christine Dierks; Jesús Duque-Afonso; Michael D Lairmore; Henning S Schäfer; Marc Schnitzler; Robert Zeiser; Uwe Martens; Roland Mertelsmann; Michael Lübbert
Journal:  Cancer Res       Date:  2008-07-15       Impact factor: 12.701

Review 4.  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 5.  The prognostic and functional role of microRNAs in acute myeloid leukemia.

Authors:  Guido Marcucci; Krzysztof Mrózek; Michael D Radmacher; Ramiro Garzon; Clara D Bloomfield
Journal:  Blood       Date:  2010-11-02       Impact factor: 22.113

6.  Mutations of NOTCH1, FBXW7, and prognosis in T-lineage acute lymphoblastic leukemia.

Authors:  Charles G Mullighan
Journal:  Haematologica       Date:  2009-10       Impact factor: 9.941

7.  ERG Is a Useful Immunohistochemical Marker to Distinguish Leukemia Cutis From Nonneoplastic Leukocytic Infiltrates in the Skin.

Authors:  Bin Xu; Daisy Naughton; Klaus Busam; Melissa Pulitzer
Journal:  Am J Dermatopathol       Date:  2016-09       Impact factor: 1.533

8.  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

Review 9.  Allogeneic hematopoietic cell transplant for acute myeloid leukemia: Current state in 2013 and future directions.

Authors:  Abraham S Kanate; Marcelo C Pasquini; Parameswaran N Hari; Mehdi Hamadani
Journal:  World J Stem Cells       Date:  2014-04-26       Impact factor: 5.326

Review 10.  FLT3 inhibitors for acute myeloid leukemia: a review of their efficacy and mechanisms of resistance.

Authors:  Michael R Grunwald; Mark J Levis
Journal:  Int J Hematol       Date:  2013-04-24       Impact factor: 2.490

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