Histone Deacetylase Inhibitor Romidepsin Has Differential Activity in Core Binding Factor Acute Myeloid Leukemia
Bibliographic record
Abstract
PURPOSE: Recruitment of histone deacetylases (HDAC) is a mechanism of transcriptional repression implicated in the differentiation block in acute myeloid leukemia (AML). We hypothesized that the HDAC inhibitor romidepsin could cause transcriptional derepression, up-regulation of specific target genes in AML, and differentiation of the leukemic clone. The primary objectives of the study were to evaluate the safety and efficacy of romidepsin in advanced AML. EXPERIMENTAL DESIGN: Twenty patients were stratified into cohort A or B based on the absence or presence of chromosomal abnormalities known to recruit HDACs, including those involving core binding factor (CBF). Romidepsin was administered i.v. at 13 mg/m(2)/d on days 1, 8, and 15 of a 28-day cycle. Pharmacodynamic endpoints were evaluated at serial time points. RESULTS: Common adverse effects noted were grade 1 to 2 nausea, anorexia, and fatigue. No objective evidence of antileukemic activity was seen in cohort A. In cohort B, although there were no clinical responses by standard criteria, antileukemic activity was observed in 5 of 7 patients. Two patients had clearance of bone marrow blasts and 3 patients had a >50% decrease in bone marrow blasts. Furthermore, in cohort B, at 24 h, there was a significant increase in MDR1 (P=0.005), p15 (P=0.01), and p14 (P<0.0001) expression. In cohort A, although there was a trend toward up-regulation of MDR1, p15, and p14 expression, these changes were not statistically significant. CONCLUSION: Romidepsin has differential antileukemic and molecular activity in CBF AML. Development of this agent in CBF AML should focus on combinations that target related mechanisms of gene silencing such as DNA methylation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".