ArticleCPT: pharmacometrics & systems pharmacology2023
PK/PD model-informed dose selection for oncology phase I expansion: Case study based on PF-06939999, a PRMT5 inhibitor.
Article in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03854227 (A PHASE 1 STUDY TO EVALUATE THE SAFETY, PHARMACOKINETICS, AND PHARMACODYNAMICS OF ESCALATING DOSES OF PF-06939999), which is not on this map. Cited by 12 papers.
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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 study to evaluate the safety, pharmacokinetics, and pharmacodynamics of escalating doses of pf-06939999 (prmt5 inhibitor) in participants with advanced or metastatic non-small cell lung cancer, head and neck squamous cell carcinoma, esophageal cancer, endometrial cancer, cervical cancer and bladder cancer
Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- PRMT5 as a Key Driver of Stemness and Metastatic Potential in Triple-Negative Breast Cancer.Biomolecules · 2026Review
- Therapy-induced mRNA, rRNA and tRNA methylation alterations confer tolerance phenotype in tumor cells: mechanism and implications.International journal of biological sciences · 2026Review
- Alternative splicing: from tumorigenesis to neoantigen-mediated cancer immunotherapy.Biomarker research · 2025Review
- Model-Informed Selection of the Recommended Phase 2 Dosage for Anti-TIGIT Immunotherapy Leveraging co-Expressed PD-1 Inhibitor Target Engagement.Clinical pharmacology and therapeutics · 2025Article
- Using Pharmacokinetic and Pharmacodynamic Analysis to Optimize the Dosing Regimens of Fanastomig (EMB-02) in Patients With Advanced Solid Tumors.CPT: pharmacometrics & systems pharmacology · 2025Article
- Targeting RNA splicing modulation: new perspectives for anticancer strategy?Journal of experimental & clinical cancer research : CR · 2025Review
- Epigenetics-targeted drugs: current paradigms and future challenges.Signal transduction and targeted therapy · 2024Review
- Comprehensive biomarker and modeling approach to support dose finding for BI 836880, a VEGF/Ang-2 inhibitor.Journal of translational medicine · 2024Article
- Phase I/II study of the clinical activity and safety of GSK3326595 in patients with myeloid neoplasms.Therapeutic advances in hematology · 2024Article
- Role of pharmacometrics and systems pharmacology in facilitating efficient dose optimization in oncology.CPT: pharmacometrics & systems pharmacology · 2023Article
- Building an adaptive dose simulation framework to aid dose and schedule selection.CPT: pharmacometrics & systems pharmacology · 2023Article
- PK/PD model-informed dose selection for oncology phase I expansion: Case study based on PF-06939999, a PRMT5 inhibitor.CPT: pharmacometrics & systems pharmacology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The optimal dose for targeted oncology therapeutics is often not the maximum tolerated dose. Pharmacokinetic/pharmacodynamic (PK/PD) modeling can be an effective tool to integrate clinical data to help identify the optimal dose. This case study shows the utility of population PK/PD modeling in selecting the recommended dose for expansion (RDE) for the first-in-patient (FIP) study of PF-06939999, a small-molecule inhibitor of protein arginine methyltransferase 5. In the dose escalation part of the FIP trial (NCT03854227), 28 patients with solid tumors were administered PF-06939999 at 0.5 mg, 4 mg, 6 mg, or 8 mg once daily (q.d.) or 0.5 mg, 1 mg, 2 mg, 4 mg, or 6 mg twice daily (b.i.d.). Tolerability, safety, PK, PD biomarkers (plasma symmetrical dimethyl-arginine [SDMA]), and antitumor response were assessed. Semimechanistic population PK/PD modeling analyses were performed to characterize the time-courses of plasma PF-06939999 concentrations, plasma SDMA, and platelet counts collected from 28 patients. Platelet counts were evaluated because thrombocytopenia was the treatment-related adverse event with clinical safety concern. The models adequately described the PK, SDMA, and platelet count profiles both at individual and population levels. Simulations suggested that among a range of dose levels, 6 mg q.d. would yield the optimal balance between achieving the PD target (i.e., 78% reduction in plasma SDMA) and staying below an acceptable probability of developing grade ≥3 thrombocytopenia. As a result, 6 mg q.d. was selected as the RDE. The model-informed drug development approach informed the rational dose selection for the early clinical development of PF-06939999.
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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.