ReviewClinical and translational science2025
Challenges in Extrapolating Healthy Volunteer Pharmacokinetics to Oncology Populations: Advocating for a Holistic Perspective.
Review in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Challenges in Extrapolating Healthy Volunteer Pharmacokinetics to Oncology Populations: Advocating for a Holistic Perspective.Clinical and translational science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phase I clinical pharmacology (CP) studies in healthy volunteers (HVs) are conducted to assess factors influencing drug pharmacokinetic (PK) properties and guide potential dose adjustments or restrictions for specific subpopulations within the target patient population. However, for oncology drugs, direct extrapolation from HV data may not always yield accurate outcomes. This review examines three published examples-ribociclib, ceritinib, and midostaurin-where substantial changes in drug exposure observed in CP studies conducted in HVs (or non-cancer subjects) did not align with the more modest effects seen in patient trials. While HV CP studies are crucial for detecting factors that alter drug exposure, their findings may not always translate to the oncology patient population. The underlying reasons are likely multifaceted but can at least be attributed to differences in study populations and study designs. To address this potential discrepancy, the relevance of intrinsic and extrinsic factors identified in HV studies should be validated in patient trials by assessing their impact on drug PK, safety, and efficacy. These examples highlight the importance of a holistic approach that integrates data from both HV and patient studies. Such a framework ensures more informed decisions about the safe and effective use of oncology drugs in the real-world settings.
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What OpenQuestion holds
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.