Cancers are a collection of diverse genetic and immunological disorders. Successful development of effective treatments is highly dependent on experimental models that effectively predict clinical outcomes. Large libraries of well-characterized patient-derived xenografts (PDXs) have long been viewed as the translational in vivo system of choice to test chemo- and/or targeted therapies due to their ability to recapitulate patient tumor characteristics, heterogeneity and patient drug response1, thus enabling Phase II-like mouse clinical trials to improve clinical success2,3. PDXs are generally considered as cancer stem cell diseases, featuring genetic stability, in contrast to cell line derived xenografts2. Over the last few decades, large collections of PDXs have been created throughout the world, becoming the workhorse of cancer drug development today. Although widely used and with great translational value, these animal models are intrinsically costly, time consuming and low throughput, therefore inadequate for large scale screening. PDX are also undesirable for immuno-oncology (IO) testing due to an immune-compromised nature4. It is thus impractical to take full advantage of the available large library of PDXs.
Recent discoveries, pioneered by the Hans Clevers’ laboratory5, have led to the establishment of in vitro cultures of organoids generated from adult stem cells in most human organs of epithelial origin5. These protocols have been further refined to allow the growth of organoids from assumed CSCs in human carcinomas of various indications6,7. These patient-derived organoids (PDOs) are genomically-stable8,9 and have been shown to be highly predictive of clinical treatment outcomes10,11,12. In addition, the in vitro nature of PDOs enables high-throughput screening (HTS)13, thus potentially offering an advantage over in vivo models and leveraging large organoid libraries as a surrogate of the patient population. PDOs are poised to become an important discovery and translational platform, overcoming the many limitations of PDXs described above.
Both PDO and PDX are patient-derived and CSC-driven models, with the ability to evaluate therapeutics in the context of either personalized treatment or clinical trial format. Existing large libraries of PDXs, like the proprietary collection of >3000 PDXs14,15,16,17, are therefore suitable for the rapid generation of libraries of tumor organoids (PDX-derived organoids, or PDXO), resulting in a matched library of paired PDX and PDXO models. This report describes the procedure to create and characterize colorectal cancer PDXO-CR2110 in relation to its parental PDX-CR2110 model16.