The Effect of Renal Impairment on the Pharmacokinetics and Safety of Talazoparib in Patients with Advanced Solid Tumors
Bibliographic record
Abstract
Pharmacokinetic (PK) studies suggest that talazoparib is primarily eliminated unchanged via renal excretion. The current study investigated how varying degrees of renal impairment may affect the PK of talazoparib, and evaluated the safety and tolerability of talazoparib, in patients with advanced solid tumors with/without renal impairment. Patients with advanced solid tumors and normal renal function or different degrees of renal impairment measured by estimated glomerular filtration rate (eGFR: mild = 60–89, moderate = 30–59, severe = 15–29 mL/min/1.73 m 2 ) were enrolled in this open-label, non-randomized, phase I study. Talazoparib was administered orally at 0.5 mg/day for 22 days. Primary PK parameters included the area under the plasma concentration-time curve from 0 to 24 h (AUC 0–24 ) and maximum observed plasma concentration ( C max ) at steady state (Day 22). Safety and tolerability were also investigated. Thirty-four patients were enrolled. At Day 22, compared with patients with normal renal function ( n = 9), patients with mild ( n = 9), moderate ( n = 8), or severe ( n = 8) renal impairment had a 12.2%, 43.0%, and 163.3% increase in talazoparib AUC 0–24 , and a 11.1%, 31.6%, and 89.3% increase in talazoparib C max , respectively. Talazoparib was generally well tolerated, and overall there were no notable differences in the treatment-emergent adverse event profile across renal function groups. Exposure to talazoparib increased with worsening renal impairment. Overall, this study confirms current dosing recommendations in patients with mild and moderate renal impairment (1 mg/day and 0.75 mg/day, respectively) and indicates that a lower starting dose of 0.5 mg/day should be considered for patients with severe renal impairment. NCT02997163.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".