ArticleJournal of clinical pharmacology2022
Population Pharmacokinetics of Ponatinib in Healthy Adult Volunteers and Patients With Hematologic Malignancies and Model-Informed Dose Selection for Pediatric Development.
Article in Journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Phase 1 Dose Escalation Trial to Determine the Safety, Tolerability and Maximum Tolerated Dose of Oral AP24534 in Patients With Refractory or Advanced Chronic Myelogenous Leukemia and Other Hematologic Malignancies
A Phase 3 Randomized,Open-Label Study of Ponatinib Versus Imatinib in Adult Patients With Newly Diagnosed Chronic Myeloid Leukemia in Chronic Phase
A Phase 1/2 Multi-center, Open-label Study of Ponatinib in Japanese Patients With Chronic Myeloid Leukemia (CML) Who Have Failed Dasatinib or Nilotinib or Ph+ Acute Lymphoblastic Leukemia (ALL) Who Have Failed Prior Tyrosine Kinase Inhibitors (TKIs)
Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Population Pharmacokinetic and Exposure-Response Analyses for Ponatinib in the Phase 3 PhALLCON Study.Clinical and translational science · 2025Trial
- Ponatinib inhibits LCK and PI3K signaling and promotes CD8Nature communications · 2026Article
- Evaluation of dasatinib and ponatinib for the control of CD123 CAR-T cell functionalities.Molecular therapy. Oncology · 2025Article
- Article
- Synergistic effect of asciminib with reduced doses of ponatinib in human Ph + myeloid leukemia with the T315M mutation.International journal of hematology · 2025Article
- A computational dynamic model of combination treatment for type II inhibitors with asciminib.Protein science : a publication of the Protein Society · 2025Article
- KF1601, a dual inhibitor of BCR::ABL1 and FLT3, overcomes drug resistance in FLT3Molecular cancer · 2025Article
- Article
- Beyond IC50-A computational dynamic model of drug resistance in enzyme inhibition treatment.PLoS computational biology · 2024Article
- A New Algorithm Integrating Molecular Response, Toxicity, and Plasma Level Measures for Ponatinib Dose Choice in Patients Affected by Chronic Myeloid Leukemia.Pharmaceutics · 2024Article
- Model-informed approach to support pediatric dosing for the pan-PI3K inhibitor copanlisib in children and adolescents with relapsed/refractory solid tumors.Clinical and translational science · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The BCR-ABL1 inhibitor ponatinib is approved for the treatment of adults with chronic myeloid leukemia or Philadelphia chromosome-positive acute lymphoblastic leukemia, including those with the T315I mutation. We report a population pharmacokinetic model-based analysis for ponatinib and its application to inform dose selection for pediatric development. Plasma concentration-time data were collected from 260 participants (86 healthy volunteers; 174 patients with hematologic malignancies) enrolled across 7 clinical trials. Data were analyzed using nonlinear mixed-effects modeling. Ponatinib pharmacokinetics were described by a 2-compartment model with first-order elimination from the central compartment. The final model included body weight and age as covariates on the apparent central volume of distribution; however, exposure variability explained by these covariates was small compared with overall variability in the population. None of the covariates evaluated, including sex, age (19-85 years), race, body weight (40.7-152.0 kg), total bilirubin (0.1-3.16 mg/dL), alanine aminotransferase (6-188 U/L), albumin (23.0-52.5 g/L), and creatinine clearance (≥28 mL/min) had clinically meaningful effects on apparent oral clearance. Simulations based on the final model predicted that daily doses of 15 to 45 mg result in steady-state average concentrations that are in the pharmacological range for BCR-ABL1 inhibition and approximate or exceed concentrations associated with suppression of T315I mutant clones. The final model was adapted using allometric scaling to inform dose selection for pediatric development. Clinicaltrials.gov identifier: NCT00660920; NCT01667133; NCT01650805.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.