Biomarkers in Predicting Response to Treatment in Bone Marrow Samples From Young Patients With Acute Myeloid Leukemia
Recruitment status was Active, not recruiting
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.
Other: laboratory biomarker analysis
Other: study of socioeconomic and demographic variables
|Official Title:||Validation of a Classifier for Induction Response Prediction Using Single Cell Network Profiling (SCNP) Assays for Childhood AML|
- Accuracy of induction response prediction [ Designated as safety issue: No ]
- Duration of complete response [ Designated as safety issue: No ]
- Event-free survival and overall survival [ Designated as safety issue: No ]
- Status (dead vs living) [ Designated as safety issue: No ]
- Date of last follow up [ Designated as safety issue: No ]
|Study Start Date:||March 2011|
|Estimated Primary Completion Date:||July 2011 (Final data collection date for primary outcome measure)|
- To validate the accuracy of a pre-specified acute myeloid leukemia (AML) induction response classifier or the My Profile™ AML Induction Therapy Assay (run in a Good Laboratory Practice [GLP] laboratory using Good Manufacturing Practice [GMP] reagents) in predicting response to cytarabine-based induction chemotherapy in pediatric patients with non-M3 AML.
- To validate the continuous score from the pre-specified induction response classifier as a predictor of response to induction chemotherapy, after controlling for the simultaneous effects of clinical variables at base-line and/or pre-induction therapy (e.g., age, WBC, and percentage [%] of blasts), and tests commonly available after the start of induction therapy (e.g., cytogenetics and molecular markers).
- To validate the accuracy of the pre-specified induction response classifier as a binary predictor of induction response using a pre-specified cutpoint to assign patients to no response (NR) or complete response (CR) groups.
- To validate the accuracy of the pre-specified induction response classifier as a binary predictor of induction response using a pre-specified cutpoint to assign patients to NR or CR groups, after controlling for the simultaneous effects of clinical variables at base-line (pre-induction therapy) (e.g., age, WBC, % blasts) and clinical variables, including tests commonly available after start of induction therapy (e.g., age, WBC, cytogenetics).
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-AAML05331 studies.
Molecular markers analyzed include Flt3ITD, NPM1, CEBPA, and MRA.
|Principal Investigator:||Norman J. Lacayo, MD||Stanford University|