Genetic Predictive Model Based on Single Nucleotide Polymorphisms in the DNA Repair Pathway and Drug Metabolis/Transport Pharmacogenetics in the Prediction of Response and Treatment Outcomes in Acute Myeloid Leukemia

Sponsor
Samsung Medical Center (Other)
Overall Status
Unknown status
CT.gov ID
NCT01106144
Collaborator
(none)
500
1

Study Details

Study Description

Brief Summary

The main component in the treatment of acute myeloid leukemia (AML) is consist of anthracycline (such as daunorubicin or idarubicin) and cytarabine. Inter-individual variability of transport/metabolism of the chemotherapeutic agent and several genetic pathways involved in the drug action might be associated with different response following the treatment for AML usually consisted of chemotherapy and/or transplantation. One of potential pathways involved in the drug action is DNA repair pathway, accordingly single nucleotide polymorphisms (SNPs) in the DNA repair machinery pathway might be a predictive marker for therapy outcomes in AML.

Several genes were involved in the DNA repair machinery which are 1) Nonhomologous end joining (NHEJ) pathway involved in the G1/S phase, 2) Homologous recombinational repair (HRR) pathway involved in the S/G2 phase. XRCC4, LIG4, MRN and ATM are well known genes involved in the NHEJ pathway, while MRE11, RAD50, NBS1 (MRN), RAD51, XRCC2, XRCC3, RAD51B, RAD51C, RAD 51D, RAD52 or RAD54 are known to be associated with HRR pathway.

A study suggested that the SNPs in the DNA repair pathway was involved in the susceptibility of secondary AML developing after chemotherapy or autologous hematopoietic stem cell transplantation, thus these SNP markers could become a predictive marker for secondary AML. However, it has never been investigated for multiple candidate pathways simultaneously with relateively larger number of patients. Accordingly, the current study attempts to investigate the potential role of the genotype markers in multiple candidate pathways, esp. focused on the DNA repair machinery, with respect to response following chemotherapy or survival of AML patients.

Total of over 500 archived samples from the patients diagnosed as acute myeloid leukemia at the Samsung Medical Center, Seoul, Korea will be included, and genomic DNAs will be extracted and will be examined for their genotypes of the candidate SNPs involved in the DNA repair pathways. Then statistical analysis will be pursued for single marker analysis, haplotype analysis and for the construction of genetic risk model based on the multivariate analysis.

Study Design

Study Type:
Observational
Anticipated Enrollment :
500 participants
Observational Model:
Case-Only
Time Perspective:
Retrospective
Official Title:
Genetic Predictive Model Based on Single Nucleotide Polymorphisms in the DNA Repair Pathway and Drug Metabolis/Transport Pharmacogenetics in the Prediction of Response and Treatment Outcomes in Acute Myeloid Leukemia
Study Start Date :
May 1, 2010

Arms and Interventions

Arm Intervention/Treatment
Acute myeloid leukemia

Outcome Measures

Primary Outcome Measures

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    15 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • patients with acute myeloid leukemia

    • 15 years or older

    • patients treated with induction/consolidation chemotherapy

    • patients with available bone marrow sample

    Exclusion Criteria:
    • acute biphenotypic leukemia

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Samsung Medical Center IRB Seoul South Korea Korea, Republic of 135-710

    Sponsors and Collaborators

    • Samsung Medical Center

    Investigators

    • Principal Investigator: Dong Hwan Kim, M.D., Ph.D., Samsung Medical Center

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    , ,
    ClinicalTrials.gov Identifier:
    NCT01106144
    Other Study ID Numbers:
    • 2008-08-094
    First Posted:
    Apr 19, 2010
    Last Update Posted:
    May 24, 2011
    Last Verified:
    May 1, 2011
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of May 24, 2011