Acute Myeloid Leukemia Clinical Trial
Studying Tissue and Blood Samples From Patients With Acute Myeloid Leukemia
Summary
RATIONALE: Studying samples of tissue and blood from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer.
PURPOSE: This research study is looking at tissue and blood samples from patients with acute myeloid leukemia.
Full Description
OBJECTIVES:
Prospectively obtain specimens required for diagnostic review and molecular characterization ensuring eligibility for CALGB Leukemia Committee Clinical trials (for clinical trials designed to enroll specific molecular subtypes, results to determine eligibility will be reported to treating physicians no more than 72 hours after specimen receipt at the repository).
Determine the frequency of specific gene markers (i.e., FLT3 ITD, CBF, MLL PTD, NPM1, KIT, RAS, CEBPA, WT1, JAK2, RUNX1, TET2, CBL, IDH1 and IDH2, ASXL1, mutations, aberrant BAALC, ERG, FLT3, MN1, EVI1, and APP) over-expression and levels of promoter methylation of specific genes (e.g., ESR1, WIT1, P15, MYOD1, ID4, DPK) in defined cytogenetic subgroups of patients with acute myeloid leukemia (AML).
Correlate these gene markers with clinical and laboratory parameters in these patients.
Correlate these gene markers with clinical outcome (i.e., complete remission [CR], disease-free survival [DFS], cumulative incidence of relapse [CIR], and overall survival [OS]) in these patients.
Identify specific microarray multi-gene expression signatures in these patients.
Correlate specific microarray multi-gene expression signatures with clinical and laboratory parameters in these patients.
Correlate specific microarray multi-gene expression signatures with clinical outcome (i.e., CR, DFS, CIR, and OS) in these patients.
Identify specific microarray multi-microRNA (miR) expression signatures in these patients
Correlate specific microarray multi-miR expression signatures with clinical and laboratory parameters in these patients.
Correlate specific microarray multi-miR expression signatures with clinical outcome (i.e., CR, DFS, CIR, and OS) in these patients.
Explore the relative contribution of prognostic gene markers (i.e., FLT3 ITD, MLL PTD, NPM1, KIT, RAS, CEBPA, WT1, and JAK2 mutations, and aberrant BAALC, ERG, FLT3, MN1, and EVI1 over-expression), levels of promoter methylation of specific genes (e.g., ESR1, WIT1, P15, MYOD1, ID4, DPK), and microarray gene and miR expression signatures in defined cytogenetic subgroups of AML.
Determine changes in these molecular markers and microarray gene and miR expression signatures at CR and relapse and the influence that these changes have on subsequent clinical course.
Correlate the relative level of nuclear pSTAT5 and pERK in bone marrow blasts with outcome (EFS, CR, DFS, OS).
OUTLINE: This is a multicenter study.
Previously procured and archived bone marrow aspirate samples, blood and buccal cell samples, and bone marrow biopsy slides are analyzed for FLT3 ITD, MLL PTD, NPM1, KIT, KRAS, NRAS, CEBPA, WT1, JAK2, RUNX1, TET2, ASXL1, IDH1 and IDH2, and CBL mutations, CBF fusion genes, levels of BAALC, ERG, EVI1, MN1, and APP microarray gene-expression, microRNA gene-expression signature, levels of methylation of genes silenced in AML, and genomic DNA by PCR amplification, RT-PCR, and denaturing high-performance liquid chromatography.
Eligibility Criteria
DISEASE CHARACTERISTICS:
Histologically confirmed acute myeloid leukemia (AML)
Tissue samples from previously untreated patients with AML considered for enrollment onto ongoing and future CALGB treatment protocols
AML tissue samples from companion Leukemia Tissue Bank protocol CALGB-9665 and the companion cytogenetic protocol CALGB-8461
AML diagnostic bone marrow and/or blood samples from patients enrolled on CLB-9720, CLB-9621 (all cytogenetic subtypes), and CALGB-19808 (abnormal cytogenetics only)
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There are 65 Locations for this study
Mountain View California, 94040, United States
Lewes Delaware, 19958, United States
Newark Delaware, 19713, United States
Washington District of Columbia, 20007, United States
Orlando Florida, 32803, United States
Bloomington Illinois, 61701, United States
Bloomington Illinois, 61701, United States
Canton Illinois, 61520, United States
Carthage Illinois, 62321, United States
Chicago Illinois, 60612, United States
Chicago Illinois, 60637, United States
Eureka Illinois, 61530, United States
Eureka Illinois, 61530, United States
Evanston Illinois, 60201, United States
Galesburg Illinois, 61401, United States
Havana Illinois, 62644, United States
Kewanee Illinois, 61443, United States
Macomb Illinois, 61455, United States
Monmouth Illinois, 61462, United States
Monmouth Illinois, 61462, United States
Normal Illinois, 61761, United States
Normal Illinois, 61761, United States
Normal Illinois, 61761, United States
Ottawa Illinois, 61350, United States
Ottawa Illinois, 61350, United States
Pekin Illinois, 61554, United States
Pekin Illinois, 61603, United States
Peoria Illinois, 61614, United States
Peoria Illinois, 61615, United States
Peoria Illinois, 61615, United States
Peoria Illinois, 61636, United States
Peoria Illinois, 61637, United States
Peru Illinois, 61354, United States
Peru Illinois, 61354, United States
Princeton Illinois, 61356, United States
Spring Valley Illinois, 61362, United States
Fort Wayne Indiana, 46845, United States
Iowa City Iowa, 52242, United States
Augusta Maine, 04330, United States
Bangor Maine, 04401, United States
Baltimore Maryland, 21201, United States
Elkton Maryland, 21921, United States
Boston Massachusetts, 02114, United States
Boston Massachusetts, 02115, United States
Boston Massachusetts, 02115, United States
Battle Creek Michigan, 49017, United States
Big Rapids Michigan, 49307, United States
Grand Rapids Michigan, 49503, United States
Grand Rapids Michigan, 49503, United States
Grand Rapids Michigan, 49503, United States
Muskegon Michigan, 49444, United States
Reed City Michigan, 49677, United States
Traverse City Michigan, 49684, United States
Columbia Missouri, 65203, United States
Saint Louis Missouri, 63110, United States
Lebanon New Hampshire, 03756, United States
Voorhees New Jersey, 08043, United States
Buffalo New York, 14263, United States
Lake Success New York, 11042, United States
Manhasset New York, 11030, United States
Manhasset New York, 11030, United States
New Hyde Park New York, 11040, United States
New York New York, 10021, United States
New York New York, 10029, United States
Syracuse New York, 13210, United States
Chapel Hill North Carolina, 27599, United States
Charlotte North Carolina, 28233, United States
Goldsboro North Carolina, 27534, United States
Greenville North Carolina, 27834, United States
Hendersonville North Carolina, 28791, United States
Kinston North Carolina, 28501, United States
Winston-Salem North Carolina, 27157, United States
Columbus Ohio, 43210, United States
Pittsburgh Pennsylvania, 15224, United States
Berlin Vermont, 05602, United States
Burlington Vermont, 05401, United States
Richmond Virginia, 23298, United States
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