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Record W2575735043 · doi:10.1182/blood.v110.11.444.444

Phase I/II Study of MGCD0103, an Oral Isotype-Selective Histone Deacetylase (HDAC) Inhibitor, in Combination with 5-Azacitidine in Higher-Risk Myelodysplastic Syndrome (MDS) and Acute Myelogenous Leukemia (AML).

2007· article· en· W2575735043 on OpenAlexaff
Guillermo Garcia‐Manero, Allen S. Yang, Virginia M. Klimek, Jörge E. Cortes, Farhad Ravandi, Willie Newsome, Julie Dumouchel, Marja Dubay, Zoumei Li, Christiane R. Maroun, Eric Laille, Hagop M. Kantarjian, Robert E. Martell, Selina M. Luger

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsPyrogenesis (Canada)
Fundersnot available
KeywordsAzacitidineMedicineInternal medicineMyelodysplastic syndromesNauseaPhases of clinical researchHistone deacetylase inhibitorOncologyPharmacologyGastroenterologyClinical trialBone marrowHistone deacetylaseBiologyDNA methylation

Abstract

fetched live from OpenAlex

Abstract Epigenetic alterations are common in leukemia. MGCD0103 in an oral isotype-selective HDAC inhibitor that synergizes in vitro with the DNA methyltransferase inhibitor 5-azacitidine (Vidaza, Pharmion). Both agents have single-agent clinical activity in MDS and AML (Garcia-Manero, ASCO, 2006 & Silverman, JCO, 2002). We have developed a Phase I/II study of 5-azacitidine in combination with MGCD0103 in patients with AML and MDS. Patients with MDS (≥10% marrow blasts), relapsed/refractory AML, or untreated elderly patients with AML were eligible. Adequate performance status, renal and hepatic functions were required. 5-azacitidine was administered at its approved dose/schedule: 75 mg/m2 SC daily for the first 7 days of a 28 day cycle. MGCD0103 was administered as a flat dose orally three-times a week starting on the 5th day of 5-azacitidine administration. The phase I portion of the study design followed a classic “3+3” model and only MGCD0103 was dose escalated. The phase II portion targeted a 30% response rate. Final data from the Phase I and II portions of the study will be presented at the Meeting. Five dose levels of MGCD0103 have been evaluated: 35, 60, 90, 110 and 135 mg. At current data cut-off, 37 patients registered in the study were fully evaluable: median age was 67 (range 27–85); 31 patients had AML and 6 MDS. A total of 97 cycles were administered to date, mean = 2.6 (range 1–12). Dose limiting toxicities included nausea, vomiting, anorexia, diarrhea and dehydration which appear similar to dose limiting toxicities for MGCD0103 alone. The MTD of MGCD0103 was initially determined to be 110 mg, however, upon cohort expansion, this dose level was associated with excess toxicity and the starting dose was decreased to 90 mg. Eleven (30%) patients have achieved response: 4 CR, 5 CR-i, and 2 PR. Of these 11 patients, 6 continue on study with mean duration on study of 7 cycles. Of the 5 patients discontinued, 3 discontinued due to SAEs, 1 due to progressive disease and 1 to undergo transplantation. Of the 27 patients at the phase II dose levels of 90 and 110mg, 10 achieved a response (37%; same rate at both doses). Preliminary response data are available at the time of abstract preparation for 13 additional patients, revealing 4 with CR (one of which had 1% residual peripheral blast) and 3 with CR-I for a response rate of 53% in this subset. MGCD0103 pharmacokinetics were not affected by 5-azacitidine. Likewise, co-administration of MGCD0103 had no impact on the pharmacokinetics of 5-azacitidine. A majority of patients exhibited a substantial reduction in PBMC HDAC activity during treatment with the combination. Analysis of DNA methylation is ongoing. In conclusion, the combination of 5-azacitidine with MGCD0103 is safe in patients with advanced AML/MDS and has clinical activity potentially superior to that expected with 5-azacitidine alone in this patient population. These results form the bases of a planned randomized study of 5-azacitidine with or without MGCD0103 in AML and MDS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.284
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2007
Admission routes1
Has abstractyes

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