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Urte Gayko

Amgen

30

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787

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Cell Signaling-Based Classifier Predicts Response to Induction Therapy in Elderly Patients with Acute Myeloid Leukemia

2015 PLOS ONE
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Functional Pathway Analysis Using SCNP of FLT3 Receptor Pathway Deregulation in AML Provides Prognostic Information Independent from Mutational Status

2013 PLOS ONE
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Development and validation of a single‐cell network profiling assay‐based classifier to predict response to induction therapy in paediatric patients with de novo acute myeloid leukaemia: a report from the Children's Oncology Group

2013 British Journal of Haematology
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Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: Effect of specimen source (bone marrow or peripheral blood) on assay readouts

2012 Cytometry Part B-clinical Cytometry
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Single-Cell Network Profiling (SCNP)-Based Classifier to Predict Response to Induction Therapy in Elderly Patients with Acute Myeloid Leukemia (AML): Validation in Two Independent Sample Sets from ECOG and SWOG Trials

2012 Blood
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Single Cell Network Profiling (SCNP)-Based Classifier to Predict Response to Induction Therapy in Pediatric Patients with De Novo Acute Myeloid Leukemia (AML): Validation Study Results,

2011 Blood
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Sample Cryopreservation Does Not Affect Functional Read Outs In SCNP Assays: Implications for Biomarker Development

2010 Blood
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Dynamic single cell network profiles in AML are associated with patient response to standard induction therapy Running Title: SCNP in AML Induction Therapy Response

2010
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Specimen Source (Bone Marrow or Peripheral Blood) Does Not Affect Proteomic Signaling in Patients with AML and Circulating Blasts

2010
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FLT3 ITD signaling profiles in AML samples harboring mutations

2010 F1000Research
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