Pharmacokinetics of Gemtuzumab Ozogamicin, an Antibody‐Targeted Chemotherapy Agent for the Treatment of Patients with Acute Myeloid Leukemia in First Relapse
Bibliographic record
Abstract
The purpose of this study was to characterize the pharmacokinetics of gemtuzumab ozogamicin (Mylotarg; Wyeth-Ayerst Laboratories, St. Davids, PA) in patients with acute myeloid leukemia (AML) in first relapse. Gemtuzumab ozogamicin is an antibody-chemotherapeutic conjugate characterized as antibody-targeted chemotherapy, consisting of an engineered human anti-CD33 antibody (hP67.6) linked to a potent cytotoxic agent, N-acetyl-gamma calicheamicin DMH. The pharmacokinetics of gemtuzumab ozogamicin was evaluated in 59 adult AML patients in first relapse, enrolled in a phase II study. Plasma was collected following each dose at specified times, and the pharmacokinetics was characterized by measures of hP67.6, total calicheamicin derivatives, and unconjugated calicheamicin derivatives. After administration of the first 9 mg/m2 dose of gemtuzumab ozogamicin, the pharmacokinetic parameters (mean +/- SD) of hP67.6 following the first dose were as follows: peak plasma concentration, 2.86 +/- 1.35 mg/L; AUC, 123 +/- 105 mg x h/L; t 1/2, 72.4 +/- 42.0 hours; and clearance, 0.265 +/- 0.229L/h. Increased concentrations were observed after the second dose and are believed to be due to a decrease in clearance by CD33-positive blast cells, a result of the reduced tumor burden following the first dose. The concentration profiles of calicheamicin followed the same time course as hP67.6, evidence that calicheamicin remained conjugated to the antibody and delivered to leukemic cells. No relationship was found between plasma concentration and response at the recommended dose. The pharmacokinetics of gemtuzumab ozogamicin has been characterized in AML patients receiving doses at the proposed therapeutic level.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".