Identification of Target Genes for Diagnosis and Prognosis of AML Using a Custom-Design Microarray
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Leukemia
- Sponsor
- Alliance for Clinical Trials in Oncology
- Enrollment
- 96
- Locations
- 2
- Primary Endpoint
- Correlation of increased or decreased expression of same transcripts with disease outcome
- Status
- Completed
- Last Updated
- 9 years ago
Overview
Brief Summary
RATIONALE: Studying samples of blood and bone marrow in the laboratory from patients with cancer may help doctors learn more about changes that occur in DNA and identify genes related to cancer. It may also help doctors diagnose cancer and predict how patients will respond to treatment.
PURPOSE: This research study is identifying cancer-related genes in blood and/or bone marrow samples from patients with acute myeloid leukemia.
Detailed Description
OBJECTIVES: * To identify and validate individual genes for diagnosis of three major translocations in acute myeloid leukemia. * To correlate transcript expression data in the various translocations with age, sex, race, response to treatment, and survival and with other known mutations. OUTLINE: Blood and/or bone marrow samples previously procured from patients on CALGB-9665 are obtained from the CALGB Leukemia Tissue Bank from patients enrolled on CALGB AML treatment studies. Mononuclear cells are isolated from samples and mRNA is extracted. Gene expression profiles are analyzed via custom mRNA microarray and confirmed by quantitative real-time PCR.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Correlation of increased or decreased expression of same transcripts with disease outcome
Time Frame: baseline
Minimum number of genes that can be used for precise diagnosis of each of the three subtypes of acute myeloid leukemia
Time Frame: baseline
Identification of individual genes that are differentially expressed between the subtypes of AMLs
Time Frame: baseline
Correlation of the patterns of expression of the translocation-specific transcripts with age, sex, race, response to treatment, survival, and with other known mutations
Time Frame: baseline