NCT01066338

Genome-wide Pharmacogenetic Candidate Gene Single Nucleotide Polymorphism (SNP) Array-based Approach to Predict Chemoresponse and Survival in Patients With Acute Myeloid Leukemia With Normal Karyotype

Genome-wide Pharmacogenetic Candidate Gene SNP Array-based Approach to Predict Chemoresponse and Survival in Patients With Acute Myeloid Leukemia With Normal Karyotype

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 500 (estimated)
• Sponsor: Samsung Medical Center · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The most reliable prognostic marker of acute myeloid leukemia(AML) is cytogenetics by karyotyping. According to cytogenetic results, the patients with AML are classified as better, intermediate and poor prognosis groups. The normal karyotype AML was reported in about 50% of all AML and classified as intermediate risk group. However, the patients with normal karyotype AML showed various prognosis. Therefore, the further studies about subgroup analysis of normal karyotype AML are needed. Recently, the understandings of human genome polypmorphism using SNP array have been accumulated. However, the advanced researches for clinical application are not enough. The study design is a retrospective and single-center study. The patients with normal karyotyping AML who were diagnosed from 1994 to 2008 at Samsung Medical Center (South Korea) will be enrolled. The stored bone marrow samples of enrolled patients are used for genome wide scanning by SNP array. The purpose of present study is to develop predictive pharmacogenemic biomarkers model associated wit clinical outcomes including efficacy and toxicity in patients with AML with normal karyotype treated with chemotherapy using pharmacogenetic SNP array. And secondly, to develop enrichment clinical trial based on predictive pharmacogenomic model.

Conditions

• Myeloid Leukemia

Timeline

• Start date: 2010-02-01
• First posted: 2010-02-10
• Last updated: 2010-02-19

Locations

1 site across 1 country: South Korea