Pharmacokinetics of Dasatinib in a Patient with Philadelphia Chromosome Positive Acute Lymphoblastic Leukemia During Treatment with Anti-Tuberculosis Therapy
Bibliographic record
Abstract
Abstract Abstract 5006 Objectives: Dasatinib is a second generation protein-tyrosine kinase inhibitor (TKI) indicated for first line treatment of chronic myeloid leukemia (CML) and second line treatment of Philadelphia chromosome-positive acute lymphoblastic leukemia (ALL) in patients who are imatinib resistant or intolerant. In this study, we present the case of a patient with Philadelphia chromosome- positive ALL, intolerant to imatinib, who developed reactivated tuberculosis (TB) while receiving dasatinib during maintenance chemotherapy. The purpose of our study was to determine the effects of concomitant anti-TB therapy on dasatinib exposure by measuring plasma dasatinib levels using three different oral doses of the drug in this patient. Methods: The patient was treated with isoniazid, rifampin, ethambutol, pyrazinamide and pyridoxine for 2 months, followed by isoniazid, rifampin and pyridoxine for an additional 4 months. Dasatinib therapy was continued at the initiation of TB therapy using 100 mg po od, and titrated by 50 mg increments to 200 mg po od. Dasatinib plasma levels were measured prior to initiating anti-TB treatment and at regular intervals during concomitant treatment using three different dasatinib doses. Results: Eight days after initiation of anti-tuberculosis therapy, the apparent clearance of dasatinib had increased from 1410 to 2174 L/h at 100 mg. However, at 150 mg and 200 mg doses, apparent clearance had decreased to levels lower than baseline. As expected, the direction of peak plasma concentration changes was inverse to the changes in apparent clearance: Cmax values were 30 at baseline, and 22, 46, 102 ng/mL for the 3 doses of dasatinib during anti-TB therapy, respectively. Conclusions: Our findings suggest dasatinib clearance is increased by approximately 50% shortly after initiating anti-tuberculosis treatment and increasing the dose of dasatinib during anti-TB therapy was able to restore dasatinib plasma levels to those observed before initiation of anti-TB therapy. (This work was supported by an unrestricted grant from Bristol Myers Squib) Disclosures: No relevant conflicts of interest to declare.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".