This study presents a comprehensive bibliometric analysis of 1,318 publications over the past three decades and identifies transformative shifts in the field, highlighting predominant applications in cancer modeling, high-throughput drug screening, and regenerative medicine.
Abstract
Organoid biobanks represent a pivotal innovation at the intersection of stem cell biology, bioengineering, and precision medicine. By establishing standardized repositories of patient-derived organoids spanning diverse tissues and disease contexts, organoid biobanks enhance experimental reproducibility, foster international scientific collaboration, and accelerate translational research. This study presents a comprehensive bibliometric analysis of 1,318 publications over the past three decades and identifies transformative shifts in the field. Research output has increased substantially since 2014, driven by international consortia involving institutions in China, the United States, and Europe. The analysis highlights predominant applications in cancer modeling (particularly gastrointestinal and central nervous system malignancies), high-throughput drug screening, and regenerative medicine, with emerging frontiers in multi-organ system integration and artificial intelligence-enabled predictive modeling. Technological advances are increasingly being evaluated for clinical relevance through reported concordance between organoid-based predictions and patient treatment responses. While challenges persist in the functional maturation of organoids and in ethical governance, organoid biobanks are increasingly positioned to reshape biomedical research paradigms by bridging experimental models with clinical decision-making. The strategic development of standardized protocols and interdisciplinary frameworks will be essential to realize their full potential in advancing therapeutic discovery and personalized healthcare.
Despite major advances in high-throughput genomics, proteomics, and multimodal imaging, a substantial gap persists between molecular tumor characterization and clinically actionable therapeutic decision-making, partly due to the limitations of conventional preclinical models in capturing tumor heterogeneity and predict...
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Organoid technology, as an innovative three-dimensional (3D) cell culture method, has undergone rapid advancement in the fields of tissue engineering and disease model construction in recent years. Using data retrieved from the PubMed database, this study employed bibliometric methods to systematically analyze 774 rele...
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Organoids, three-dimensional cell culture models derived from patient tissues or stem cells, have emerged as a cutting-edge technology in personalized medicine, owing to their remarkable ability to closely recapitulate in vivo tissue architecture and function. This review provides a comprehensive overview of the techno...
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Tumor-derived model biobanks comprise patient-derived xenografts, organoids, cell models or cultures, and selected paired derivatives linked to clinical, pathological, molecular, and functional data. In China, patient-derived organoid and xenograft resources have expanded through clinical and academic studies, enterpri...
Lian-Hai Zhang, Ying Hu, Haixin Li et al.· Biopreservation and Biobanki...· 0 citations
The inadequacy of traditional preclinical oncology models, specifically two-dimensional (2D) monolayer cultures and murine in vivo systems, in predicting human drug responses has led to the development of patient-derived organoids (PDOs) and microfluidic organ-on-chip (OoC) technologies. These innovations represent sig...
M. V. Bulbul, T. Demircan· Organoids· 0 citations
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