| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Experimental Therapeutics, Molecular Targets, and Chemical Biology |
1 The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland; 2 James Cancer Center of Ohio State University, Columbus, Ohio; 3 Medizinische Klinik IV, Universitaetsklinikum Aachen, Rheinisch-Westfaelische Technische Hochschule Aachen, Aachen, Germany; and 4 Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, Maryland
Requests for reprints: Steven D. Gore, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, 1650 Orleans Street, Baltimore, MD 21287. Phone: 410-955-8781; Fax: 410-614-1005; E-mail: gorest{at}jhmi.edu.
 |
Abstract |
|---|
 Top Abstract IntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
|
Introduction |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
Given the above dynamics underlying the silencing of genes with hypermethylated promoters, the sequential application of HDAC inhibitors following DNMT inhibitors could potentially increase the response rate, response duration, or percentage of complete responses (CR) in myeloid leukemias through the reexpression of silenced important cell regulatory genes. Multiple such genes are known to exist in hematopoietic neoplasms, including the key cell cycle regulating gene p15INK4B (16–19).
The marked clinical activity of the DNMT inhibitors 5-azacitidine (aza-CR) and 2'-deoxy-5-azacytidine (DAC) in patients with myelodysplastic syndromes (MDS) suggest that epigenetic silencing of cell regulatory genes may play important roles in the pathophysiology of this group of disorders. In addition to hematologic response rates ranging from 30% to 60% (20–23), both drugs have been shown to retard the progression of MDS to acute myeloid leukemia (AML; refs. 23, 24).
The presently described clinical trial was designed to determine whether the sequential administration of a DNMT inhibitor followed by an HDAC inhibitor could be tolerated by patients with myeloid malignancies and to explore the possibility that such combinations would increase the response rate or the quality of responses following aza-CR administration. We combined this drug with the first HDAC inhibitor available for clinical use previously studied by our group (25, 26), sodium phenylbutyrate. This short-chain fatty acid has been successfully used to induce the production of fetal hemoglobin in patients with sickle cell anemia and ß-thalassemia (27, 28). In phase I studies in patients with AML and MDS, steady-state plasma concentrations at the maximum tolerated dose ranged between 0.3 and 0.5 mmol/L (25, 26), well within the range that induces histone acetylation in vitro (29).
In this first exploration of the feasibility of combined DNMT and HDAC inhibition for the treatment of myeloid malignancies, we sequenced these drugs in a dose-finding study. Modeling the study after in vitro models, patients were treated with the DNMT inhibitor aza-CR followed by the HDAC inhibitor phenylbutyrate. In addition to clinical toxicity and response end points, this study aimed to determine to what extent aza-CR administration was associated with reversal of promoter methylation and whether clinical administration of phenylbutyrate was associated with induction of histone acetylation.
|
Materials and Methods |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
18 years were eligible if they had refractory anemia (RA) with excess blasts (RAEB) or chronic myelomonocytic leukemia (CMMoL). Patients with RA or RA with ringed sideroblasts were eligible if they met one of several criteria for significant hematologic compromise: absolute neutrophil count <1,000/µL, untransfused hemoglobin <8 g/dL, platelet count <20,000/µL, and anemia or thrombocytopenia requiring transfusion or if they had high-risk cytogenetic abnormalities. Patients with relapsed or refractory AML were eligible if WBC was stably <30,000/µL for at least 2 weeks. Patients with untreated AML were eligible if they met one of several high-risk criteria: age >60 years, AML arising in setting of antecedent hematologic disorder (including AML-TLD previously classified as RAEB-t), high-risk chromosomes (abnormalities of chromosome 5 or 7, or complex cytogenetic abnormalities), or medical conditions that would compromise the ability to give cytotoxic chemotherapy as the primary treatment modality. Additional eligibility requirements for both groups included Zubrod performance status <2, serum creatinine and bilirubin <2.0 mg/dL, and absence of active infections. Administration of hematopoietic growth factors was not allowed during this trial; all growth factor administration was discontinued at least 3 weeks before protocol entry. All patients signed Institutional Review Board–approved informed consent according to Department of Health and Human Services guidelines; additional specific informed consent was obtained for the laboratory research use of patient specimens. Patient characteristics are listed in Table 1
.
|
|
Toxicity was evaluated using the NCI CTC version 2.0. Any grade 3 or 4 nonhematologic toxicity thought possibly or probably related to study drug administration was considered dose limiting. Patients who developed reversible encephalopathy during phenylbutyrate infusion (a known toxicity of phenylbutyrate administration; refs. 25, 26) could receive a dose reduction of phenylbutyrate during subsequent cycles (325 mg/kg/d IVCI x 7 days). Because many patients with AML and MDS have marked cytopenias, hematologic toxicity was only considered evaluable in patients with pretreatment neutrophils >500/µL and platelet count >20,000/µL; dose-limiting hematologic toxicity in such patients was defined as neutropenia or thrombocytopenia below those critical thresholds lasting longer than 14 days.
Correlative Studies
Sample procurement. Bone marrow aspirates were obtained before treatment, during cycle 1 of therapy following the last dose of aza-CR, and again following the last dose of phenylbutyrate and before cycle 2. Peripheral blood was obtained during cycle 1 before study; before phenylbutyrate, 4, 8, and 24 hours following phenylbutyrate; and at least once more during the infusion of phenylbutyrate as well as before cycle 2. Peripheral blood and bone marrow mononuclear cells were isolated using Ficoll-Hypaque (SG <1.077). Mononuclear cells were divided into aliquots for histone extraction before freezing (see below) and RNA and DNA preparation using standard techniques before freezing.
Bisulfite sequencing. Genomic bisulfite sequencing for the p15 promoter was done in selected patient samples as described to validate changes in promoter methylation (31). Primers used were 5'-TGAAGGAATAGAAATTTTTTGTTT-3' and 5'-AAGCAAGCTTAAACCCTAAAACCCCAACTACCTAA-3' for the initial amplification, followed by a nested PCR using the internal primers 5'-GGGGATTAGGAGTTGAG-3' and 5'-ACCCTAAAACCCCAACTACC-3'. The large size of this product precluded amplification from bisulfite-treated DNA in some cases. For these samples and time points, a smaller nested PCR was done initially using the primer pair 5'-TAGGTTTTTTGGTTTAGTTGAAAA-3' and 5'-CTCCTTCCTAAAAAACCTAAACTCAAC-3', followed by internal primers 5'-TTTGTAGGTTGGTTTTTTATTTTGTTA-3' and 5'-AAAACCTAAACTCAACTTCATTACCCT-3'. This product includes the central 303 bp region of the p15INK4b CpG island.
Methylation-specific PCR. Methylation-specific PCR (MSP) was used to detect the presence of methylated alleles for specific genes. MSP was done as previously described (32, 33). All pretreatment samples were screened for promoter methylation of p15INK4B. In some cases, CDH-1 (E-cadherin) methylation was also studied. Genes found to be methylated in the pretreatment specimen were monitored for changes in methylation using an MSP technique.
Histone acetylation. Histones were extracted (34) and proteins were quantified (Bio-Rad, Hercules, CA). Fifty micrograms of protein were separated by 15% SDS-PAGE gels and transferred onto nitrocellulose membranes. Primary rabbit polyclonal antibodies to human acetylated histone H3 and H4 and nonacetylated H2 (Upstate Biotechnology, Lake Placid, NY) were used for Western blot analysis, followed by horseradish peroxidase–conjugated secondary antibodies and visualization using enhanced chemiluminescence (Kodak, Scientific Imaging systems, Rochester, NY). The nonacetylated H2 band was easily resolved from the Ac-H3 and Ac-H4 band and served as a control for histone extraction and protein loading. The gels were scanned and the band density was quantified (UN-Scan-It, Silk Scientific, Orem, UT). Beginning with dose cohort 3, results for Ac-H3 and Ac-H4 were quantified as percentage of nonacetylated H2A ("acetylation index"); routine blotting for H2A was not done in all patients before this dose cohort.
F-cell quantification. Red cells containing hemoglobin F (F cells) were quantified using a standard flow cytometric technique (28).
Aza-CR pharmacokinetics. Samples were obtained before treatment and at 0.25, 0.5, 1, 2, 4, 8, and 24 hours after aza-CR administration. Samples were processed and frozen within 30 minutes by centrifugation at 3,000 x g for 5 minutes in a refrigerated centrifuge. Plasma was divided into multiple aliquots to avoid freeze/thaw cycling and was stored at –80°C until analysis. Initially, samples were collected without tetrahydrouridine. Following observation of samples in which aza-CR could not be detected, presumably due to presumed breakdown by cytidine deaminase, tetrahydrouridine was added to the plasma supernatant at a final concentration of 100 µmol/L to increase the stability of drug in plasma during storage in the freezer. Tetrahydrouridine increased freezer stability from 7 to 
21 days when frozen at –80°C (35, 36). Aza-CR was quantified in plasma using a previously described validated liquid chromatography/tandem mass spectrometry method over the range of 5 to 500 ng/mL (20.4 to 2,041.6 nmol/L; ref. 36).
Individual concentration-time data were analyzed using noncompartmental methods using WinNonlin Professional version 3.1 as reported elsewhere (Pharsight, Mountain View, CA; ref. 35). Pharmacokinetic variables were summarized using descriptive statistics.
Phenylbutyrate pharmacokinetics. Samples were obtained before treatment and on days 4 and 7 of phenylbutyrate infusion. Samples were collected in heparinized tubes (5 mL) and centrifuged at 3,000 rpm for 5 minutes; plasma was aliquoted and stored at –80°C until the time of analysis. Samples were analyzed for phenylbutyrate and two metabolites, phenylacetylglutamine and phenylacetic acid, using a high-performance liquid chromatography method using UV detection (25, 26, 37–39). The linear calibration curves were generated over the range of 10 to 3,000 µmol/L.
Average steady-state concentrations (Css) were calculated for phenylbutyrate, phenylacetylglutamine, and phenylacetic acid based on graphical presentation of concentration-time profiles.
Statistical considerations. The primary end points of this trial were to evaluate the toxicities and responses associated with the different dosing regimens. Toxicities were recorded for each individual. The responses were graded as described above and response rates were calculated as percentages with 95% confidence intervals both for the entire cohort as well as within each treatment group. Among the responders, duration of individual responses and the median response time were calculated. In addition, median cycle times and ranges are reported for durational outcomes of interest, such as time until response.
Changes in biological variables over time were represented graphically with additional tests for associations. For each dose group, the association between the mean percentage of F cells and time was tested using a one-way ANOVA. ANOVA was used to determine the association between aza-CR or phenylbutyrate exposure and clinical response expressed as a categorical variable [i.e., 1, a major response (CR or partial response, PR); 2, minor response (i.e., hematologic improvement/lineage response); 3, no response]. A paired t test was used to determine the association between aza-CR or phenylbutyrate exposure and methylation changes, methylation reversal–induced F cells, and acetylation changes expressed as a categorical variable (i.e., response or no response). The aza-CR exposure variables explored were maximum plasma concentrations (Cmax), area under the concentration-time curve (AUC) from time 0 to 2 hours (AUC0-2h), AUC from time 0 to 4 hours (AUC0-4h), AUC from time 0 to the last quantifiable time point (AUC0-tf), and AUC extrapolated to infinity (AUC0-8). The phenylbutyrate exposure variables explored were Css for phenylbutyrate, phenylacetylglutamine, and phenylacetic acid. Statistical analysis was done using JMP Statistical Discovery Software version 3.2.6 (SAS Institute, Cary, NC). The a priori level of significance was P < 0.05.
|
Results |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
Toxicity
No unusual toxicities were discovered in this trial. Three patients withdrew consent before completing a single cycle: one because of needle phobia, one because of poor performance status, and one for undisclosed personal reasons. Mild nausea was frequent in patients receiving aza-CR and occasional in patients receiving phenylbutyrate; nausea was alleviated in all cases with either 10 mg prochlorperazine or 100 mg dolasetron. Injection site reactions were common in response to aza-CR. One patient in dose cohort 1 developed severe asthenia requiring a dose reduction of aza-CR to 50 mg/m2/d x 5 days. Encephalopathy attributed to phenylbutyrate occurred in nine patients. As in the previous phase I studies of phenylbutyrate, encephalopathy completely reversed within 24 to 48 hours of stopping the infusion. In four cases, encephalopathy was mild and the 7-day infusion could be successfully completed. Three patients received dose reductions of phenylbutyrate in subsequent treatment cycles (325 mg/kg/d). Two patients tolerated the lower dose; one patient developed severe recurrent encephalopathy and was removed from the trial following his third cycle. The final patient decided not to resume treatment upon recovery from initial symptoms of encephalopathy.
Dose-limiting hematologic toxicity was observed in dose cohort 4 (50 mg/m2/d x 14 days). These toxicities include dose-limiting neutropenia (one patient), dose-limiting thrombocytopenia (two patients), and septic death during neutropenia in cycle 2 (one patient). One surviving patient tolerated dose reduction to 50 mg/m2/d x 10 days; the other patient had recurrent dose-limiting neutropenia at both 50 mg/m2/d x 10 days and 75 mg/m2/d x 5 days and was removed from study. No dose-limiting toxicities occurred in dose cohort 5.
Clinical Outcomes
Three patients received less than one complete cycle of therapy and are not considered evaluable for response. Overall, 11 of 29 evaluable patients responded, including 5 of 9 evaluable patients in dose cohort 3 (one patient reduced from dose cohort 4) and 3 of 6 evaluable patients in dose cohort 5. Five were major responders (four CR/one PR); these responders were all treated in dose cohorts 3 (four patients) and 5 (one patient). Seven of 11 responders, including three of the major responders, had clonal cytogenetic abnormalities before treatment. The three major responders had complete cytogenetic responses; none of the minor responders developed cytogenetic remission. Major responses developed in two patients with AML-TLD, one patient with RAEB, one patient with RA with steroid-refractory MDS-associated vasculitis (complete hematologic and rheumatologic response), and one patient with RCMD (complete hematologic response with evidence of ongoing dysplasia in bone marrow). Response duration among major responders was 8, 10, 15, and 19+ months. The patient considered to have "progressed" at 8 months showed cytologic evidence of recurrent MDS with recurrent neutropenia following AML-TLD; complete cytogenetic response persisted.
Minor responses (IWG hematologic improvement-major) occurred in four patients with RAEB (including a patient with therapy-related MDS) and two patients with AML-TLD including four monolineage and two bilineage response (Table 2). Median duration of response among minor responders was 3 months; four patients were removed from protocol with ongoing response because of persistent cytopenias in other lineages or persistent increases in blasts. Among patients who achieved major hematologic improvement, the median number of treatment cycles to observe response (range) were as follows: platelets 1.5 (1-4, n = 7); reticulocytes 3 (2-3, n = 6); hemoglobin 3 (2-4, n = 6); neutrophils 1 (1-5, n = 7). No trend was observed in time to response according to the aza-CR dose cohort.
Changes in Promoter Methylation
DNA methylation in bone marrow cells was examined during the first course of drug administration in dose cohorts 3 to 5 to monitor changes within tumor clones rather than monitoring alterations stemming from replacement of neoplastic cells by normal cells. Genomic bisulfite sequencing of a hypermethylated p15 promoter was done in five patients (Fig. 1
). Sequential sequencing of DNA from patients who had significant responses to the combined therapy, patients 13 (PR, cohort 3), 19 (CR, cohort 3), and 24 (hematologic improvement, cohort 4, reduced to dose cohort 3) showed significant decrement in p15 methylation following aza-CR treatment, Importantly, we saw a pattern of heterogeneous loss of CpG methylation within each single allele examined, strongly supporting demethylation within the tumor clone. The bisulfite sequencing of patient 19 showed evidence of remethylation before initiation of the next drug cycle. No demethylation was observed in the p15 promoter in two clinical nonresponders (patient 15, cohort 3; patient 34, cohort 5).
|
|
|
globin). Baseline F-cell data were obtained on 26 patients who consented to study. The mean percentage F cells was 7.9% (median 4.9%, range 0.9-48.3%). There was no statistical difference between the mean percentage F cells of patients with the diagnoses of MDS or AML nor was there a statistical difference in the proportion of patients with each diagnosis in patients whose F cells were above or below the mean. Sequential F-cell data were obtained on 24 patients (Fig. 4 ). Six patients increased percentage of F cells over time. Three patterns of F-cell induction were observed: a gradual induction throughout the first cycle of therapy (three patients, all in dose cohort 3); delayed induction, coincident with clinical response (one patient in dose cohort 3 and one in dose cohort 5); and transient increase in F-cell production in response to phenylbutyrate (one patient in dose cohort 2). Each cohort was examined for a correlation between time point and F-cell percentage by ANOVA. An association between F cell and treatment time, indicating an increase in F cells over time, was found only dose cohort 3. Three of four clinical responders in cohort 3 who were evaluated for F-cell response developed significant increases in F cells. The other patient in this cohort with an F-cell response did not respond clinically. The patients in cohorts 2 and 5 who developed significant increases in F cells were clinical nonresponders. No significant correlation between changes in F cells and clinical response was found when all evaluable patients were examined.
|
A trend to correlation between aza-CR AUC0-8 and reversal of methylation was detected among the small number of patients with complete methylation and pharmacokinetic data (n = 9, P = 0.0658; Fig. 2B). Aza-CR exposure was not correlated with clinical response, changes in histone acetylation, or induced F cells.
Phenylbutyrate pharmacokinetics. The median steady-state phenylbutyrate plasma concentration was 322.5 µmol/L (mean 562.7 ± 818.9, range 19.5-4,371.2). For phenylacetic acid, the median steady-state plasma concentration was 723.9 µmol/L (mean 1,617.1 ± 1987.6, range 250.2-6,769.2). For phenylacetylglutamine, the median steady-state plasma concentration was 440.3 µmol/L (mean 677.6 ± 457.1, range 153.4-1,520.9). A total of six patients displayed an unidentified phenylbutyrate metabolite in the plasma samples, which was quantified from the phenylbutyrate standard curve. For the unknown metabolite, the median steady-state plasma concentration was 187.1 µmol/L (mean 192.8 ± 71.6, range 84.6-292.9). The median steady-state plasma concentration of patients who showed an increase in acetylation following phenylbutyrate was 237 µmol/L (mean 317.1 ± 100.3). The median steady-state plasma concentration of patients who did not increase acetylation during phenylbutyrate was 343.4 µmol/L (mean 976.4 ± 457.5). Phenylbutyrate and metabolite exposure was not correlated with clinical response, changes in histone acetylation, induced F cells, or reversal of methylation.
|
Discussion |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
50% hematologic response rate (23, 41, 42), these agents were developed empirically without careful dose finding, and the molecular mechanism underlying their clinical activity remains unclear. Issa et al. (22) studied DAC administered from 5 to 20 mg/m2/d i.v. for 10 to 20 doses in patients with a variety of hematologic malignancies. The data suggested a potentially improved response rate (65%) in the patients treated at 15 mg/m2/d for 10 doses. Responses were not correlated with baseline p15 methylation or changes in p15 methylation in peripheral blood mononuclear cells during treatment (22). Daskalakis et al. (43) monitored p15 methylation during treatment of MDS patients with a more dose-dense schedule of DAC (45 mg/m2/d x 3 days). This group detected decreased methylation in 9 of 12 patients studied investigated at a median time following 3.5 cycles of DAC (range 1-6 cycles). Mund et al. (44) showed decreased methylation in three of four MDS patients treated with DAC, determined following the first cycle of DAC in only two patients. Significantly decreased methylation could be detected after cycle 2 in one patient, cycle 4 in a second patient, and cycle 5 in the third patient. Karyotype normalization preceded changes in genomic methylation; thus, the methylation changes measured likely occurred in normal cells and were irrelevant to proximal molecular changes induced by DAC.
The current study is the first to perform bisulfite sequencing of hypermethylated gene promoters in bone marrow cells during the first cycle of aza-CR. Immediately following the first 10- to 14-day exposure to aza-CR in three clinically responding patients, bone marrow cells possess heterogeneously methylated alleles and an incomplete demethylation pattern. This observation confirms that changes in methylation detected following aza-CR do not arise from the replacement of the abnormal (methylated) clone with normal (unmethylated) cells following a cytotoxic event. The precise parallels between the bisulfite sequencing data and MSP results allowed us to use the latter procedure to monitor methylation of two gene promoters in clinical samples. The results, requiring confirmation in a larger series, revealed a tight correlation between initial tumor clone changes in hypermethylation of the p15 and CDH-1 promoters and clinical response. The development of cytogenetic complete remission in a patient in whom partial demethylation developed in malignant cells during cycle 1 suggests that these agents, which target epigenetically silenced transcription, may activate genetic programs leading to terminal differentiation, apoptosis, or senescence. More normal clones can then replace the starting population. Partial demethylation fits well with the possibility that HDAC inhibitors may increase therapeutic efficacy by contributing to reexpression of densely hypermethylated genes once some demethylation is initiated by drugs, such as aza-CR, as shown in vitro (14, 15).
The pharmacokinetic/pharmacodynamic studies suggest that reversal of promoter methylation may correlate with AUC for aza-CR. Nonresponse may be due to failure of adequate exposure of the target to drug, raising hopes that adjusted dosing schedules might improve clinical outcomes further. The relationship between aza-CR AUC and methylation reversal could be due to genetic polymorphisms affecting drug metabolism; one candidate would be differences in cytidine deaminase, the primary catabolic enzyme for aza-CR. Polymorphisms and differences in expression of cytidine deaminase and other catabolizing enzymes have been associated with in vivo resistance to cytarabine (45–48). These data suggest that more easily administered formulations of aza-CR could be developed, with potential for an adaptive control mechanism to increase the percentage of patients with promoter methylation reversal.
The current study design does not allow assessment of the specific biochemical contribution of the HDAC inhibitor. Ultimately, a randomized trial of a DNMT inhibitor with and without an HDAC inhibitor will be required. Increases in global histone acetylation were observed in the majority of patients studied. The induction of histone acetylation in response to aza-CR before the HDAC inhibitor was unexpected. The mechanism by which aza-CR led to histone acetylation is currently unknown; it is not clear whether this is a DNMT-dependent phenomenon and whether similar induction of histone acetylation occurs in response to in vivo administration of DAC. Increases in acetylation could be specifically attributed to phenylbutyrate in only 12 of 23 patients. This may be due to maximal induction of acetylation in response to aza-CR alone. The median steady-state plasma concentration of phenylbutyrate was consistent with previous phase I studies and would be predicted to be adequate for the induction of acetylation (25, 26, 37–39). However, the large percentage of patients evaluable for acetylation who developed increments in this end point (17 of 23) precludes assessment of the contribution of HDAC inhibition to clinical response.
From a clinical perspective, larger trials will be required to assess the efficacy of combining aza-CR with HDAC inhibitors in the treatment of MDS and AML. The current trial shows the clinical feasibility of combining a DNMT and HDAC inhibitor. Our current study also suggests that aza-CR in combination with phenylbutyrate yields a potential enrichment in major responses in patients who received aza-CR at 50 mg/m2/d x 10 days followed by phenylbutyrate. In the definitive Cancer and Leukemia Group B study of aza-CR, the CR plus PR rate was 23% (23). In dose cohort 3, four of nine evaluable patients achieved CR or PR. These numbers are small and require confirmation in a phase II setting; however, they suggest the possibility that prolonged exposure to lower doses of a DNMT inhibitor and/or the addition of an HDAC inhibitor may increase the major response rate.
In summary, we have developed a well-tolerated combination schedule of aza-CR and HDAC inhibitor, which induces promoter methylation reversal, global histone acetylation, F-cell production, and clinical responses. This first study provides a recommended phase II dose schedule for aza-CR (50 mg/m2/d x 10 days s.c.) in studies involving comparisons without an HDAC inhibitor to fully evaluate the efficacy of combining such drugs. We have also shown the first solid evidence that demethylation of hypermethylated genes in tumor clones is a target effect of aza-CR in patients who respond to therapy with this drug. This provides a possible assay to make early judgments about efficacy in individual patients and may be evidence that demethylation may underlie the responses themselves.
|
Acknowledgments |
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Sharyn D. Baker, Robert Arceci, and Michael McDevitt for their scientific input; Susan Davidson for quality assurance of the pharmacokinetic data contained in the manuscript; Carol Hartke, Ping He, Alex Mnatsakanyan, and Yelena Zabelina for technical support; Deborah Decker for outstanding administrative assistance; and the clinical staff of the Division of Hematologic Malignancies for superb patient management, which greatly facilitates clinical research in this difficult group of patients.
|
Footnotes |
|---|
Received 1/ 9/06. Revised 3/16/06. Accepted 4/ 7/06.
|
References |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
This article has been cited by other articles:
|
|
 |
|
  C. Stresemann, I. Bokelmann, U. Mahlknecht, and F. Lyko Azacytidine causes complex DNA methylation responses in myeloid leukemia Mol. Cancer Ther., September 1, 2008; 7(9): 2998 - 3005. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 W. P. Vaughan and J. E. Karp The Long Road to a Cure for Acute Myelocytic Leukemia: From Intensity to Specificity J. Clin. Oncol., July 20, 2008; 26(21): 3475 - 3477. [Full Text] [PDF]
|
|
|
|
 |
|
 C. Bonfils, A. Kalita, M. Dubay, L. L. Siu, M. A. Carducci, G. Reid, R. E. Martell, J. M. Besterman, and Z. Li Evaluation of the Pharmacodynamic Effects of MGCD0103 from Preclinical Models to Human Using a Novel HDAC Enzyme Assay Clin. Cancer Res., June 1, 2008; 14(11): 3441 - 3449. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. D. Nimer Myelodysplastic syndromes Blood, May 15, 2008; 111(10): 4841 - 4851. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J.-P. J Issa DNA Methylation as a Therapeutic Target in Cancer Am. Assoc. Cancer Res. Educ. Book, April 12, 2008; 2008(1): 643 - 649. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
V. M. Klimek, S. Fircanis, P. Maslak, I. Guernah, M. Baum, N. Wu, K. Panageas, J. J. Wright, P. P. Pandolfi, and S. D. Nimer Tolerability, Pharmacodynamics, and Pharmacokinetics Studies of Depsipeptide (Romidepsin) in Patients with Acute Myelogenous Leukemia or Advanced Myelodysplastic Syndromes Clin. Cancer Res., February 1, 2008; 14(3): 826 - 832. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. S. Palii, B. O. Van Emburgh, U. T. Sankpal, K. D. Brown, and K. D. Robertson DNA Methylation Inhibitor 5-Aza-2'-Deoxycytidine Induces Reversible Genome-Wide DNA Damage That Is Distinctly Influenced by DNA Methyltransferases 1 and 3B Mol. Cell. Biol., January 15, 2008; 28(2): 752 - 771. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
V. R. Fantin and V. M. Richon Mechanisms of Resistance to Histone Deacetylase Inhibitors and Their Therapeutic Implications Clin. Cancer Res., December 15, 2007; 13(24): 7237 - 7242. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. O. Soriano, H. Yang, S. Faderl, Z. Estrov, F. Giles, F. Ravandi, J. Cortes, W. G. Wierda, S. Ouzounian, A. Quezada, et al. Safety and clinical activity of the combination of 5-azacytidine, valproic acid, and all-trans retinoic acid in acute myeloid leukemia and myelodysplastic syndrome Blood, October 1, 2007; 110(7): 2302 - 2308. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
W. Blum, R. B. Klisovic, B. Hackanson, Z. Liu, S. Liu, H. Devine, T. Vukosavljevic, L. Huynh, G. Lozanski, C. Kefauver, et al. Phase I Study of Decitabine Alone or in Combination With Valproic Acid in Acute Myeloid Leukemia J. Clin. Oncol., September 1, 2007; 25(25): 3884 - 3891. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Napieralski, K. Ott, M. Kremer, K. Becker, A.-L. Boulesteix, F. Lordick, J. R. Siewert, H. Hofler, and G. Keller Methylation of Tumor-Related Genes in Neoadjuvant-Treated Gastric Cancer: Relation to Therapy Response and Clinicopathologic and Molecular Features Clin. Cancer Res., September 1, 2007; 13(17): 5095 - 5102. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. Shi, Y. Zhao, T. Ishii, W. Hu, S. Sozer, W. Zhang, E. Bruno, V. Lindgren, M. Xu, and R. Hoffman Effects of Chromatin-Modifying Agents on CD34+ Cells from Patients with Idiopathic Myelofibrosis Cancer Res., July 1, 2007; 67(13): 6417 - 6424. [Abstract] |
, unmethylated CpG sites; 
, methylated CpG sites. Numbering is according to the transcriptional start site (nucleotide 1218 from Genbank sequence AF513858), which is +1. Bone marrow mononuclear cells were procured before therapy, following the last injection of aza-CR, following discontinuation of phenylbutyrate, and before cycle 2. A, clinical responders. B, clinical nonresponders.
