Prostate cancer (PCa) remains one of the most prevalent malignancies in men worldwide, second only to lung cancer in cancer-related mortality. According to recent epidemiological studies, the global incidence of PCa has been steadily rising, and it is projected that the number of new cases of prostate cancer annually will rise from 1.4 million in 2020 to 2.9 million by 20401. Despite advancements in early detection and the development of novel therapies, including androgen deprivation therapy (ADT) and targeted agents, prostate cancer remains a significant clinical challenge due to its heterogeneous nature and the inevitable development of treatment resistance, particularly in advanced stages2. Castration-resistant prostate cancer (CRPC), which emerges after ADT failure, represents a lethal form of the disease, characterized by poor survival outcomes and limited therapeutic options3. Understanding the molecular mechanisms driving disease progression and resistance is therefore crucial for identifying novel therapeutic targets and improving patient outcomes.
The development of preclinical models that accurately mimic the complexity of human prostate cancer is critical for advancing research in this field. Traditional 2D cell cultures, though widely used, fail to recapitulate the cellular heterogeneity, tumor architecture, and microenvironment observed in vivo4. As a result, the translational utility of these models is limited, particularly for studying tumor progression, drug resistance, and the dynamic interactions between cancer cells and the tumor microenvironment5. In contrast, patient-derived xenografts (PDXs) and organoid cultures have emerged as more sophisticated tools that bridge the gap between conventional cell lines and clinical tumors4,5,6.
Organoid culture systems have revolutionized cancer modeling. These three-dimensional (3D) structures are derived from patient tissues and can retain the histological, genomic, and phenotypic characteristics of the original tumor7,8,9,10. Importantly, prostate cancer organoids preserve critical features of disease heterogeneity, including AR signaling, resistance to treatment, and genomic instability, making them ideal tools for translational research11. Compared to PDX models, organoids are more cost-effective, scalable, and amenable to genetic manipulation, which facilitates high-throughput drug screening, biomarker discovery, and functional studies. Organoid platforms have already shown promising results in other malignancies, including colorectal, breast, and pancreatic cancers, underscoring their potential for personalized oncology4,12.
However, establishing and maintaining prostate cancer organoids (PCOs) presents unique technical challenges. The prostate epithelium is inherently dependent on androgen signaling and extracellular matrix (ECM) support, necessitating specialized culture conditions. Moreover, prostate cancer exhibits a wide range of clinical behaviors, from localized hormone-sensitive tumors to highly aggressive, treatment-refractory CRPC, which further complicates the development of reproducible organoid systems11,12. Successful protocols for PCO generation must address these biological complexities by optimizing key steps, including tissue processing, enzymatic digestion, ECM embedding, and supplementation with critical growth factors, hormones, and small molecules. Such protocols are essential for ensuring the fidelity of organoids to their parental tumors and facilitating their application in downstream analyses.
In this study, we present a detailed and reproducible protocol for the establishment and long-term maintenance of PDOs. Our workflow spans the entire process, from tissue acquisition and processing of biopsy and surgical specimens to organoid passaging, cryopreservation, and resuscitation (Figure 1). This protocol has been optimized to preserve the phenotypic and genomic integrity of prostate cancer tissues, enabling robust 3D culture systems suitable for a wide range of applications, including genomic profiling, drug response testing, and functional assays. Notably, our method addresses common technical hurdles, such as low success rates in organoid culture, suboptimal growth, and difficulties in subsequent passaging, and provides standardized guidelines, thereby facilitating reproducibility across laboratories.
The development of reliable prostate cancer organoid models holds immense significance for both basic and translational research13. These systems offer a powerful platform for deciphering disease mechanisms, identifying novel therapeutic targets, and advancing precision medicine approaches tailored to individual patients. By addressing existing technical gaps and providing a comprehensive protocol, our work aims to accelerate the adoption of organoid technology in prostate cancer research and support the global efforts to combat this challenging disease14.