Effect of Renal and Hepatic Impairment on the Pharmacokinetics of Cabozantinib
Bibliographic record
Abstract
Cabozantinib is a tyrosine kinase inhibitor approved for the treatment of patients with progressive, metastatic medullary thyroid cancer. Two clinical pharmacology studies were conducted to characterize single-dose pharmacokinetics (PK) of cabozantinib in renally or hepatically impaired subjects. Study 1 enrolled 10 subjects, each with mild or moderate impairment of renal function; 12 healthy subjects were matched to the moderate group for age, sex, and body mass index (BMI). Study 2 enrolled 8 males each with mild or moderate hepatic impairment; 10 healthy males were matched to the moderate group for age, BMI, and ethnicity. All subjects received one 60 mg cabozantinib oral capsule dose followed by PK sampling over 21 days. Plasma concentration and protein binding were determined by liquid chromatography tandem mass spectrometry and equilibrium dialysis, respectively. PK parameters were computed using noncompartmental methods. Geometric least squared mean (LSM) ratios for plasma cabozantinib AUC0-∞ for impaired to normal organ function cohorts were (1) approximately 30% and 6% higher in subjects with mild and moderate renal impairment, respectively, and (2) approximately 81% and 63% higher in subjects with mild and moderate hepatic impairment, respectively. The percentage of unbound drug was slightly higher in both moderately impaired cohorts. No deaths or discontinuations due to adverse events occurred in either study. Cabozantinib should be used with caution in subjects with mild or moderate renal impairment. Subjects with mild or moderate hepatic impairment administered cabozantinib should be monitored closely for potential treatment-emergent drug toxicity that may necessitate a dose hold or reduction.
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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 | 0.001 | 0.002 |
| 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".