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Leukemia Research|September 8, 2015
A molecular risk score integrating BAALC, ERG and WT1 expression levels for risk stratification in acute promyelocytic leukemiaAnna Hecht, Daniel Nowak, Verena Nowak, et al.
Leukemia & Lymphoma|March 17, 2012
Delayed processing of bone marrow samples reveals a prognostic pattern of NME mRNA expression in cytogenetically normal acute myeloid leukemiaEnrica Bach, Rainer Krahl, Thoralf Lange, et al.
Leukemia Research|June 16, 2017
Therapy of older persons with acute myeloid leukaemiaUtz Krug, Robert Peter Gale, Wolfgang E Berdel, et al.
Medizinische Klinik (Munich, Germany : 1983)|May 11, 2006
[Clinical research within the German competence net "acute and chronic leukemias"]Susanne Saussele, Ute Berger, Carlo Aul, et al.
Annals of Hematology|December 20, 2012
High expression of the Ets-related gene (ERG) is an independent prognostic marker for relapse-free survival in patients with acute promyelocytic leukemiaAnna Hecht, Daniel Nowak, Verena Nowak, et al.
Leukemia & Lymphoma|January 24, 2004
Multicolor karyotyping in acute myeloid leukemiaJoëlle Tchinda, Sarah Volpert, Nicole McNeil, et al.
Cancer Research|February 7, 2007
DNA methylation of tumor suppressor genes in clinical remission predicts the relapse risk in acute myeloid leukemiaShuchi Agrawal, Matthias Unterberg, Steffen Koschmieder, et al.
Leukemia Research|January 5, 2013
In acute promyelocytic leukemia (APL) low BAALC gene expression identifies a patient group with favorable overall survival and improved relapse free survivalFlorian Nolte, Anna Hecht, Mark Reinwald, et al.
Blood|June 19, 2002
Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual diseaseSusanne Schnittger, Claudia Schoch, Martin Dugas, et al.
Haematologica|June 7, 2007
Prognosis of acute myeloid leukemia patients up to 60 years of age exhibiting trisomy 8 within a non-complex karyotype: individual patient data-based meta-analysis of the German Acute Myeloid Leukemia IntergroupMarkus Schaich, Richard F Schlenk, Haifa K Al-Ali, et al.
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