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Updated: Oct 12, 2026

High-sensitivity Detection of Micrometastases Generated by GFP Lentivirus-transduced Organoids Cultured from a Patient-derived Colon Tumor
Published on: June 14, 2018
Colorectal cancer organoids: a developmental trajectory from Matrigel embedding to AI-empowered precision medicine
Muxin Tang1, Lin Shaoyi1, Qian Liang1
1Wuming Hospital Affiliated to Guangxi Medical University, Nanning, China.
Abstract:
The high heterogeneity and complex microenvironment of colorectal cancer (CRC) represent critical bottlenecks contributing to treatment resistance and clinical translation failure, and the iterative development of organoid technology provides a key driving force for precision oncology. This narrative review systematically outlines the four-stage developmental trajectory of CRC organoid technology-while recognizing that these stages are not strictly sequential replacements but rather long-term coexisting and complementary approaches. The first-generation Matrigel embedding method established the foundation for three-dimensional culture but lacked adequate microenvironment simulation. The second generation achieved preliminary tumor-stromal interactions through optimized culture media and co-culture systems. The third generation integrated engineering technologies such as microfluidic chips and bioprinting, overcoming bottlenecks in high-throughput standardization and dynamic regulation in dedicated platforms. The fourth generation leverages artificial intelligence (AI), achieving substantial advances in intelligent phenotypic analysis, drug-response prediction, and initial exploration of digital twin systems. By comparing differences in heterogeneity retention, throughput, clinical potential, and cost-effectiveness among the four generations, this review emphasizes their core clinical value in individualized medication guidance and novel target discovery. Despite persistent challenges-including insufficient microenvironment simulation, poor AI explainability, and lack of standardization-current evidence suggests that interdisciplinary integration and intelligent platform development can transform organoid technology into a key hub bridging basic research and clinical practice. We therefore recommend accelerating the establishment of standardized organoid biobanks, embedding AI-driven predictive models into clinical workflows, and formulating regulatory frameworks to facilitate the translation of organoid-based precision medicine for colorectal cancer.

