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Clinical Trials/NCT01503541
NCT01503541
Completed
Not Applicable

The Development of Predictive Biomarker Models for Patients Receiving Standard Induction Chemotherapy With and Without Gemtuzumab Ozogamicin

SWOG Cancer Research Network0 sites365 target enrollmentDecember 2011
ConditionsLeukemia

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Leukemia
Sponsor
SWOG Cancer Research Network
Enrollment
365
Primary Endpoint
Development of risk-assessment biomarker model for clinical outcomes
Status
Completed
Last Updated
11 years ago

Overview

Brief Summary

RATIONALE: Studying samples of bone marrow and blood from patients with cancer in the laboratory may help doctors identify and learn more about biomarkers related to cancer.

PURPOSE: This research trial studies biomarkers in samples from patients with acute myeloid leukemia treated with standard chemotherapy with or without gemtuzumab ozogamicin.

Detailed Description

OBJECTIVES: * To determine whether measuring biomarkers in less-differentiated acute myeloid leukemia (AML) blasts significantly improves their predictive accuracy to predict clinical outcomes for patients receiving induction/consolidation chemotherapy with and without gemtuzumab ozogamicin. * To develop and validate novel predictive biomarker models for predicting clinical outcomes for AML patients receiving induction/consolidation chemotherapy with and without gemtuzumab ozogamicin. OUTLINE: DNA and RNA extracted from archived bone marrow and peripheral blood samples are analyzed for genomic mutations (CEBPA, FLT3, IDH1/2, KIT, NPM1, RUNX1, TP53, and WT1) and transcriptional biomarkers (BAALC, CCNA1, CD34, CEBPA, ERG, EVI1, FLT3, IL3RA, MCL1 \[two splice variants\], MN1, RUNX1, and WT1) by PCR and real-time PCR. Data are then analyzed by the Gene Scan software.

Registry
clinicaltrials.gov
Start Date
December 2011
End Date
June 2012
Last Updated
11 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Not provided

Exclusion Criteria

  • Not provided

Outcomes

Primary Outcomes

Development of risk-assessment biomarker model for clinical outcomes

Time Frame: immediate

Biomarker assays in highly purified populations of AML myeloblasts are more predictive of clinical outcomes as compared to the same tests examining unsorted cells

Time Frame: immediate

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