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Updated: Jun 17, 2025

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
Meta-analyses of phase I dose-finding studies: Application for the development of protein kinase inhibitors in
Laura Caquelin1, Pauline Badra1,2, Lucas Poulain1
1Univ Rennes, CHU Rennes, Inserm, Centre d'investigation clinique de Rennes (CIC1414), Service de Pharmacologie Clinique, Institut de Recherche en Santé, Environnement et Travail (Irset), UMR S 1085, EHESP, Rennes, France.
Abstract:
This study aimed to assess the feasibility of applying two recent phase I meta-analyses methods to protein kinase inhibitors (PKIs) developed in oncology and to identify situations where these methods could be both feasible and useful. This ancillary study used data from a systematic review conducted to identify dose-finding studies for PKIs. PKIs selected for meta-analyses were required to have at least five completed dose-finding studies involving cancer patients, with available results, and dose escalation guided by toxicity assessment. To account for heterogeneity caused by various administration schedules, some studies were divided into study parts, considered as separate entities in the meta-analyses. For each PKI, two Bayesian random-effects meta-analysis methods were applied to model the toxicity probability distribution of the recommended dose and to estimate the maximum tolerated dose (MTD). Meta-analyses were performed for 20 PKIs including 96 studies corresponding to 115 study parts. The median posterior probability of toxicity probability was below the toxicity thresholds of 0.20 for 70% of the PKIs, even if the resulting credible intervals were very wide. All approved doses were below the MTD estimated for the minimum toxicity threshold, except for one, for which the approved dose was above the MTD estimated for the maximal threshold. The application of phase I meta-analysis methods has been feasible for the majority of PKI; nevertheless, their implementation requires multiple conditions. However, meta-analyses resulted in estimates with large uncertainty, probably due to limited patient numbers and/or between-study variability. This calls into question the reliability of the recommended doses.
Insights
Applying phase I meta-analysis methods to protein kinase inhibitors (PKIs) in oncology is feasible but yields uncertain results. These methods require specific conditions and may lack reliability for recommended doses due to wide credible intervals.
Area of Science:
- Oncology
- Pharmacometrics
- Biostatistics
Background:
- Protein kinase inhibitors (PKIs) are crucial in cancer therapy.
- Phase I clinical trials determine safe dosing for novel oncology drugs.
- Meta-analysis methods can synthesize evidence from multiple studies.
Purpose of the Study:
- To evaluate the feasibility and utility of two recent phase I meta-analysis methods for oncology PKIs.
- To identify conditions under which these meta-analysis methods are applicable and beneficial.
Main Methods:
- Utilized data from a systematic review of PKI dose-finding studies.
- Applied two Bayesian random-effects meta-analysis methods to model toxicity and estimate maximum tolerated dose (MTD).
- Included 20 PKIs, 96 studies, and 115 study parts, accounting for heterogeneity in administration schedules.
Main Results:
- Phase I meta-analysis methods were feasible for most PKIs, provided specific conditions were met.
- Median posterior toxicity probability was below 0.20 for 70% of PKIs, but with wide credible intervals.
- Approved doses were generally below estimated MTDs, with one exception.
Conclusions:
- While feasible, applying phase I meta-analysis to PKIs requires careful consideration of implementation conditions.
- The uncertainty in meta-analysis estimates, due to limited data or variability, raises questions about the reliability of recommended doses.
- Further research is needed to refine these methods for robust PKI dose recommendations.
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