Genome-wide Single Nucleotide Polymorphism (SNP) Array-based Approach to Predict Chemoresponse and Survival in Patients With Acute Lymphoblastic Leukemia
NCT ID: NCT01079507
Last Updated: 2010-03-03
Study Results
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Basic Information
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UNKNOWN
200 participants
OBSERVATIONAL
2010-02-28
Brief Summary
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1. Definition of the cohort: two hundred ALL patients from the SMC as a test set, another 100 patients from the SMC as a first validation set, and another 150 independent external patients as second external validation set. DNAs will be extracted and stored from patients' samples collected at the time of diagnosis.
2. In the test set, genotypes will be determined using a MALDI-TOF based platform (Sequenom, San Diego, CA, USA) for 130 SNPs of the candidate genes involved in DNA repair pathway, drug metabolism/transport pathway and folate metabolism pathway.
3. Bioinformatic analyses will be performed to identify around 13 genotypes (10%) having strongest predictive significance out of these 130 SNPs in terms of their treatment outcomes, drug toxicity and prognosis in the test set.
4. These 13 genotypes will be validated in the first cohort of 100 ALL patients using a multivariate Cox's proportional hazard model.
5. The predictive model will be built up based on Cox's proportional hazard model derived from 13 candidate genotypes and clinical risk factors.
6. The predictive model based on pharmacogenetic information will be validated again in the second, independent external cohort of 150 ALL patients.
Definite prognostic value was not established for genetic or molecular markers in acute lymphoblastic leukemia (ALL) except BCR/ABL fusion gene. The current study attempts to build up a predictive model based on single nucleotide polymorphisms (SNPs) with pharmacogenetic approach using 130 genotypes in the multiple candidate pathways such as DNA repair pathway, drug metabolism / transport pathway and folate metabolism pathway. The predictive model based on SNPs will be generated and validated with respect to treatment outcomes, drug toxicity and prognosis in adult ALL patients.
The present study will demonstrate that: 1) Pharmacogenetic information derived from SNPs involved in the DNA repair pathway, drug metabolism/transport pathway and folate metabolism pathway, is helpful to predict the treatment outcomes, drug toxicity and prognosis in ALL patients; 2) Predictive model derived from pharmacogenetic information will be effective and reasonable approach to stratify ALL patients according to their clinical outcomes; 3) The SNP-based predictive model could be reasonably applied to the treatment of ALL patients, thus becoming a basis for further improvement of treatment outcome; 4) Finally, this project will enhance and facilitate the pharmacogenetic research in the hematology area, thus make the team to lead the pharmacogenetic research in the world.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Study Groups
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adult acute lymphoblastic leukemia
Patients were diagnosed as adult acute lymphoblastic leukemia.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* 18 years or older
* patients were treated with standard chemotherapy
* patients with available medical record and stored bone marrow specimen at time of diagnosis
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Samsung Medical Center
OTHER
Responsible Party
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Samsung Medical Center
Principal Investigators
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Dong Hwan Kim, M.D.,Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Division of Hematology and Oncology/Samsung Medical Center
Locations
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Samsung Medical Center
Seoul, , South Korea
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2009-06-060
Identifier Type: -
Identifier Source: org_study_id
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