Validation of a Classifier for Induction Response Prediction Using Single Cell Network Profiling (SCNP) Assays for Childhood AML
Validation of a Classifier for Induction Response Prediction Using Single Cell Network Profiling (SCNP) Assays for Childhood AML
RATIONALE: Studying samples of bone marrow from patients with cancer in the laboratory may help doctors predict how well patients will respond to treatment.
PURPOSE: This research trial is studying biomarkers in predicting response to treatment in bone marrow samples from young patients with acute myeloid leukemia.
OBJECTIVES:
Primary
Secondary
OUTLINE: Cryopreserved bone marrow mononuclear cell specimens are analyzed by cell networking profiling assays. Results are then compared with patient outcomes and demographics from COG-AAML03P1 and COG-AAML0531 studies.
Molecular markers analyzed include Flt3ITD, NPM1, CEBPA, and MRA.
DISEASE CHARACTERISTICS:
Diagnosis of acute myeloid leukemia (AML)
Cryopreserved bone marrow mononuclear cell specimens from patients enrolled on COG-AAML03P1 and COG-AAML0531 collected prior to cytarabine-based induction therapy
PATIENT CHARACTERISTICS:
PRIOR CONCURRENT THERAPY: