Oncology Preclinical Models and Pharmacology Studies for Translational Research: Fundamentals, Applications and Case Studies

Developing effective cancer therapies remains a major challenge, with low translational success despite advances in molecular oncology. A key barrier is the limited predictive power of traditional preclinical models and the need for robust pharmacological evaluation.

This workshop addresses these challenges by exploring preclinical models and pharmacology strategies essential for oncology drug development. With the rise of complex modalities including immunotherapies, ADCs, and cell-based treatments, refining preclinical evaluation is critical to improve clinical translation.

Key Topics

• Preclinical Development – Target validation, mechanism of action, efficacy profiling.
• In Vivo Models – Xenografts, GEMMs: strengths and limitations.
• Pharmacokinetics – ADME, PK/PD modeling for oncology agents.
• PDX Models – Preserving tumor heterogeneity for predictive insights.
• 3D Cultures – Spheroids and organoids for physiologic relevance.
• Organ-on-Chip – Microfluidic systems for dynamic tumor modeling.
• AI/ML Applications – Predictive modeling, biomarker discovery, patient stratification.

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