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Tumor-Derived Model Biobanks in China: Current Status and Future Challenges
Lianhai Zhang1, Ying Hu1, Haixin Li2
1State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing, China.
Biopreservation and Biobanking
|August 6, 2026
Summary
Chinese tumor model biobanks are growing, offering valuable resources for research. Enhancing data transparency and accessibility is crucial for advancing translational cancer research and drug discovery.
Area of Science:
- Oncology
- Biobanking
- Translational Research
Background:
- Tumor-derived model biobanks are essential for cancer research, encompassing patient-derived xenografts, organoids, and cell cultures.
- These models are linked to comprehensive clinical, pathological, molecular, and functional data.
Purpose of the Study:
- To review the landscape of tumor-derived model biobanks in China.
- To discuss international benchmarks for biobank maturity and identify areas for improvement.
- To emphasize the importance of quality transparency for resource discovery and verification.
Main Methods:
- The review summarizes representative Chinese biobank resources and enterprise platform types.
- It discusses international benchmark functions for model-biobank maturity.
- Emphasis is placed on quality transparency for external verification and resource discovery.
Main Results:
- China has seen significant expansion in patient-derived organoid and xenograft resources.
- Both clinical/academic groups and enterprise platforms contribute to model generation and data annotation.
- Current challenges include uneven public catalogues, quality descriptors, data linkage, and access mechanisms.
Conclusions:
- Tumor model biobanks in China are transitioning towards translational research infrastructure.
- Strengthening minimum information fields, quality reporting, and governance is essential.
- Improved transparency and access control will facilitate the discovery and utilization of model resources for research.

