AACR-NCI-EORTC 2025 Poster C044

Comparative Evaluation of Preclinical Models for Informed Study Design

Zixuan Xie, Wubin Qian, Xiaobo Chen, and Sheng Guo

Selecting the right preclinical model is critical for translational relevance and predictive power in oncology drug discovery. In this poster, researchers compare cell lines, organoids, and patient-derived xenografts (PDX) using multi-omics data to determine which platforms best mirror human tumor biology.

Leveraging Crown Bioscience’s extensive PDX, organoid, and cell line datasets — benchmarked against TCGA and CPTAC patient data — this analysis provides actionable insights into how model fidelity influences study outcomes and biomarker discovery.

Download this Poster to Discover:

• How RNA-seq and proteomic similarity to human tumors varies across cell lines, organoids, and PDX models.
• Which models most accurately capture tumor microenvironment features.
• The relative consistency of transcriptomic and proteomic data between model systems.
• How multi-omics benchmarking enables smarter, evidence-based model selection for translational research.

Download the Poster to explore comprehensive comparative analyses and see how integrating transcriptomic and proteomic data can guide more predictive preclinical study design.

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