The hybrid preclinical ecosystem: a strategic roadmap for oncology R&D

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ID: 315610
2026
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Abstract
Regulatory shifts, economic pressures, and pandemic-related logistical disruptions have challenged the long-standing primacy of animal models in biomedical research. In oncology, the traditional "animal-first" paradigm is increasingly difficult to defend as advances in human-derived systems-including tumor organoids, microphysiological systems, and computational models-now enable the study of specific aspects of tumor biology in experimentally controlled and human-relevant contexts. Consequently, the conceptual architecture of preclinical research is being reorganized; rather than suggesting a replacement of animal models, these changes point to a gradual reconfiguration of how different model systems are positioned within the translational pipeline. This shift necessitates a fundamental reassessment of how experimental design translates into clinical relevance. A strategic roadmap for this hybrid ecosystem illustrates how the integration of human-specific data and refined animal validation can de-risk clinical translation in oncology.
Reference Key
openalex_W7163129729 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wonbeak Yoo
Journal JNCI Journal of the National Cancer Institute
Year 2026
DOI
10.1093/jnci/djag173
URL
https://doi.org/10.1093/jnci/djag173
Keywords Keywords not found

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