S0106A, Biomarkers in Samples From Patients With Newly Diagnosed Acute Myeloid Leukemia Treated With Cytarabine-Based Chemotherapy

Overview

RATIONALE: Studying samples of bone marrow and blood from patients with cancer in the laboratory may help doctors predict how well patients will respond to treatment. PURPOSE: This research study studies biomarkers in samples from patients with newly diagnosed acute myeloid leukemia treated with cytarabine-based chemotherapy.

OBJECTIVES: * Training and testing of multiparameter flow cytometry-based cell signaling signature (FC classifier 1) associated with in vivo primary chemoresistance (i.e., non-complete response \[NR\]) to standard induction therapy in adult patients ≤ 60 years old with a newly diagnosed non-M3 acute myeloid leukemia (AML). * Training and testing of multiparameter flow cytometry-based cell signaling signature (FC classifier 2) associated with complete continuous response at 1 year (CCR1) in adult patients ≤ 60 years old with a newly diagnosed non-M3 AML who are treated with cytarabine-based induction chemotherapy. * Identification of signaling signature(s) associated with secondary chemoresistance (i.e., disease relapse) in adult patients ≤ 60 years of age who have longitudinally paired peripheral blood mononuclear cells (PBMC) or bone marrow mononuclear cells (BMMC) samples at diagnosis and at the time of first relapse. (Exploratory) OUTLINE: Cryopreserved samples are incubated with cytokines (e.g., interleukins), growth factors (e.g., sargramostim \[GM-CSF\] and filgrastim \[G-CSF\]), chemotherapeutic agents (e.g., cytarabine, etoposide phosphate), and other modulators. Cells are fixed, permeabilized, and stained with antibodies that recognize extracellular markers in conjunction with intracellular activation-state specific epitopes of designated signaling molecules. Subsequently, cells are analyzed for multiparametric phospho-flow cytometry in a random manner (without knowledge of clinical variables and outcomes) to training and testing sets. Results are then compared with individual patient clinical outcomes.

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