In this protocol, a tractable, reproducible method for generating PDOs and expanded T cells from our biobank repository was described. The PDO CRC co-culture setup for our patient samples with different mutations, along with the treatment regimen were also described in detail. The results obtained demonstrated the effect of treatment on co-culture models.
The organoid co-culture system described here provides a robust, adaptable platform for modeling complex biological interactions in vitro. By integrating PBMCs with matched patient-derived organoids, this protocol better recapitulates organoid signaling dynamics and functional heterogeneity than conventional 2-D cell culture. Unlike earlier approaches with lower reproducibility or limited viability, our method optimizes culture conditions to maintain both organoid integrity and T cell activity for the desired time points20,21. A key strength of this protocol is its flexibility. It can be applied to diverse organoid types, including intestinal, hepatic, and lung models, and supports co-culture with a range of immune cells13,14,20,21,22,23. This adaptability enables researchers to tailor the method to their specific biological questions, from dissecting host–pathogen interactions to evaluating therapeutic responses in a patient-specific context13,20,24,25. Furthermore, the workflow is compatible with downstream analyses, including transcriptomics, metabolomics, and imaging, thereby expanding its utility for mechanistic and translational studies26,27.
These protocols are highly applicable across diverse areas of cancer immunology, translational oncology, and personalized medicine13,20,21. The organoid–immune co-culture platform provides a physiologically relevant and scalable system for studying patient-specific tumor–immune interactions, evaluating immunotherapies and targeted treatments, and identifying biomarkers of response or resistance13,14,20,21. By integrating functional assays such as flow cytometry, ELISpot, and live-cell imaging, these methods enable comprehensive analysis of immune activation, cytotoxicity, and tumor behavior13,14,20,21. The use of three-dimensional patient-derived organoids further enhances translational relevance by preserving tumor heterogeneity and microenvironmental features, making these protocols valuable tools for preclinical drug testing and next-generation immunotherapy development13,14,20.
Despite their advantages, organoid models still have limitations. Organoid establishment efficiency varies depending on tumor type, sample quality, and prior treatment history, particularly in heavily pretreated tumors20,21. In addition, organoids often lack key tumor microenvironment components such as fibroblasts, vasculature, and stromal signaling14,20,21. Although co-culture systems improve modeling of tumor–immune interactions, maintaining immune cell viability and function in vitro remains challenging13,14,20,21. Variability in culture conditions and extracellular matrices across laboratories also limits standardization and reproducibility14,20,21.
Future advances in organoid research will focus on integrating fibroblasts, endothelial cells, microbiota, and autologous immune cells to better mimic the tumor microenvironment and improve personalized immunotherapy testing28. Emerging organ-on-chip systems and CRISPR/Cas9-based engineering will further enhance disease modeling, functional studies, and therapeutic screening. Standardization through biobanking initiatives is expected to improve scalability, reproducibility, and clinical translation. Overall, this protocol provides a reproducible, physiologically relevant platform for studying organoid–immune interactions and supports translational and precision oncology research.