Myelodysplastic Syndrome Clinical Trial
Official title:
Clinical Relevance of DNA Methyltransferase and Histone Deacetylase Gene Single Nucleotide Polymorphism in Myelodysplastic Syndrome
Recent investigations have demonstrated that DNMT gene polymorphisms can contribute to the
inter-individual variants in DNMT expression. Accordingly, we hypothesized that the DNMT and
HDAC genes SNPs could predict the outcomes of decitabine therapy for myelodysplastic
syndrome. Prospective collection of DNA from peripheral blood will be performed in the
patients with MDS before commencement of decitabine therapy. We will evaluate the efficacy
decitabine therapy according to the DNMT or HDAC gene SNPs in terms of following parameters:
1) hematolotic response (HR) or improvement (HI), or requirement of decitabine dose to
achieve HR or HI, 2) complete (CR) or partial response (PR), or requirement of decitabine
dose to achieve CR or PR, and 3) time to relapse or progression of MDS.
The objective of this study is 1) to determine genotypes from DNA samples from MDS patients
receiving Decitabine therapy, 2) to determine the association of clinical outcomes (HR, HI,
CR, PR or time to progression to leukemia) following decitabine therapy with DNMT or HDAC
genotypes, and 3) to analyze the impact of cytogenetic risk on the response or leukemic
evolution following decitabine therapy for MDS.
This study will include the patients who signed the subject informed consent form among the
patients with MDS who were chosen to be treated with Decitabine (Part I), plus additional 140
MDS patients as a historical control (Part II). Approximately, 68 patients will be included
who satisfy the following inclusion and exclusion criteria in the Part I study.
Prospective collection of DNA from peripheral blood will be performed in the patients with
MDS before commencement of decitabine therapy. We will evaluate the efficacy decitabine
therapy according to the DNMT or HDAC gene SNPs in terms of following parameters: 1)
hematolotic response (HR) or improvement (HI), or requirement of decitabine dose to achieve
HR or HI, 2) complete (CR) or partial response (PR), or requirement of decitabine dose to
achieve CR or PR, and 3) time to relapse or progression of MDS.
Genotyping will be undertaken using the Sequenom® iPLEX platform™, according to the
manufacturer's instructions (www.sequenom.com; Sequenom Inc, San Diego, CA, USA). Whole blood
samples will be obtained according to the declaration of Helsinki. DNA will be extracted
using the Puregene DNA purification Kit (Gentra Systems Inc, Minneapolis, MN, USA). The
detection of SNPs will be performed by the analysis of primer extension products generated
from previously amplified genomic DNA using a Sequenom chip-based matrix-assisted laser
desorption / ionization time-of-flight (MALDI-TOF) mass spectrometry platform. Multiplex SNP
assays will be designed using SpectroDesigner software (Sequenom). Ninety-six well plates
containing 2.5 ng DNA in each well will be amplified by PCR following the specifications of
Sequenom. Unincorporated nucleotides in the PCR product will be deactivated using shrimp
alkaline phosphatase. Allele discrimination reactions will be conducted by adding the
extension primer(s), DNA polymerase, and a cocktail mixture of deoxynucleotide triphosphates
and di-deoxynucleotide triphosphates to each well. MassExtend clean resin (Sequenom) will be
added to the mixture to remove extraneous salts that could interfere with MALDI-TOF analysis.
The primer extension products will be then cleaned and spotted onto a SpectroChip. Genotypes
will be determined by spotting an aliquot of each sample onto a 384 SpectroChip (Sequenom),
which is subsequently read by the MALDI-TOF mass spectrometer.
All statistical tests will be two-sided with the significance level set as 0.05 unless
otherwise stated. The statistical data will be obtained using an SAS version 9.1 (SAS
Institute, Cary NC, USA). Followings are the endpoints for the study.
1. Primary endpoint evaluation data
• Response rate: A response rate will be obtained and its confidence interval estimated
to be evaluated through chi-square test. If the main endpoints which may influence the
final evaluation must be controlled, stratified analysis (Cochran-Mantel-Haenzel, etc.)
will be conducted. If all the subjects' characteristic endpoints must be controlled, the
logistic regression model will be used for analysis.
2. Secondary endpoint evaluation data
- Overall survival: survival will be evaluated from the registration day to death
through Kaplan-Meier method.
- Progression free survival: : The time of progression from MDS to AML and death from
any cause. Progression free survival will be analyzed through Kaplan-Meier method.
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