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Pharmacogenomics Testing in Phase I Oncology Clinical Trials: Constructive Criticism Is Warranted
Tristan M Sissung1, William D Figg1
1Clinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, MD 20892, USA.
Most oncology phase I clinical trials do not use pharmacogenetics to select patients. This limits the ability to identify effective treatments and reduce toxicity, hindering drug development success.
Area of Science:
- Oncology
- Clinical Pharmacology
- Genetics
Background:
- Pharmacogenetics-based patient stratification can enhance clinical trial success by identifying responsive patients and minimizing toxicity.
- However, current phase I oncology study designs often limit the conclusions that can be drawn from pharmacogenetic data.
Purpose of the Study:
- To evaluate the extent and limitations of pharmacogenetics endpoints in published phase I oncology studies.
- To identify opportunities for improving future phase I study designs.
Main Methods:
- A comprehensive review of phase I oncology studies with pharmacogenetics endpoints was conducted.
- Studies were analyzed for their evaluation of toxicity, response, progression-free survival (PFS), and pharmacokinetics.
- The number of genotype-directed studies and the variants evaluated were assessed.
Main Results:
- Out of over 10,000 phase I oncology studies, fewer than 1% incorporate pharmacogenetics.
- Eighty-four studies with pharmacogenetics endpoints were identified, focusing mainly on topoisomerase inhibitors, antimetabolites, and anti-angiogenesis agents.
- Only eight studies were genotype-directed, and most analyzed small patient cohorts (median 28) with limited pharmacogenetic variants and hypothesis justification.
Conclusions:
- Phase I oncology studies have significant limitations for robust pharmacogenetics analysis due to small sample sizes, population heterogeneity, and limited variant evaluation.
- Future phase I study designs must incorporate these factors to optimize success and address key scientific questions in personalized oncology.
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