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Patient-derived xenografts (PDXs), which are generated from the implantation of patient tumor pieces into immunodeficient mice, have emerged as a powerful preclinical model to aid personalized anti-cancer care. PDX models have been successfully developed for a variety of human malignancies. These include breast and ovarian cancers, malignant melanoma, colorectal cancer, pancreatic adenocarcinoma, and non-small cell lung cancer1,2,3,4,5. Tumor tissue can be implanted orthotopically or heterotopically. The former, considered more accurate but technically difficult, involves transplantation directly into the organ of tumor origin. These types of models are believed to precisely mimic histology of the original tumor due to the “natural’ microenvironment for the tumor6,7. For example, orthotopic transplantation into the bursa of the mouse ovary resulted in tumor dissemination into the peritoneal cavity and the production of ascites, typical of ovarian cancer8. Similarly, injection of breast tumors into the thoracic instead of the abdominal mammary gland affected the PDX success rate and behavior9. However, orthotopic models require sophisticated imaging systems to monitor tumor growth. Heterotopic implantation of solid tumor is typically performed by implanting tissue into the subcutaneous flank of a mouse which allows for easier monitoring of tumor growth and is less expensive and time consuming7. However, tumors grown subcutaneously rarely metastasize unlike as observed in the case of orthotopic implantation10.
The success rate of engraftment has been shown to vary and greatly depend on the tumor type. More aggressive tumors and tissue specimens containing a higher percent of tumor cells were reported to have better success rates12,13. Consistent with this, tumors derived from metastatic sites were shown to engraft at frequencies of 50–80%, while those from primary sites engraft at frequencies as low as 14%12. In contrast, tissue containing necrotic cells and fewer viable tumor cells engraft poorly. Tumor growth can also be promoted by the addition of basement membrane matrix proteins into the tissue mix at the time of the injection into mice14 without compromising properties of the original tumor. The size and number of tissue pieces intended for implantation were also found to affect the success rate of engraftment. Greater tumor take-rates were reported for implantation in the sub-renal capsule compared to subcutaneous implantation due to the ability of the sub-renal capsule to maintain the original tumor stroma and provide the host stromal cells as well15.
Most studies use NOD/SCID immunodeficient mice, which lack natural killer cells16 and have been shown to increase the tumor engraftment, growth and metastasis compared to other strains14. However, additional monitoring is required as they may develop thymic lymphomas as early as 3-4 month of age13. In ovarian tumor transplants grown in SCID mice, the outgrowth of B cells was successfully inhibited by rituximab, preventing the development of lymphomas but without impacting the engraftment of ovarian tumors17.
More recently, NSG (NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ) mice, carrying a null mutation in the gene encoding the interleukin 2 receptor gamma chain18, became a frequently used strain for the generation of PDX models. Tumors from established PDX models passaged to future generations of mice are reported to retain histological and molecular properties for 3 to 6 generations19,20. Numerous studies have shown that the treatment outcomes in PDX models mimic those of their corresponding patients2,3,4,21,22,23. The response rate to chemotherapy in PDX models for non-small lung cancer and colorectal carcinomas was similar to that in clinical trials for the same drugs24,25. Studies conducted in PDX models, developed for patients enrolled in clinical trials, demonstrated responses to tested drugs similar to those observed clinically in corresponding patients2,3,4.
High–throughput genomic analyses of a patient tumor in conjunction with PDX models provide a powerful tool to study correlations between specific genomic alterations and a therapeutic response. These have been described in a few publications26,27. For example, therapeutic responses to the EGFR inhibitor cetuximab in a set of colorectal PDX models carrying EGFR amplification, paralleled clinical responses to cetuximab in patients28.
There are a few challenges associated with the development and application of PDX models. Among those is tumor heterogeneity29,30 that may compromise the accuracy of treatment response interpretation as a single cell clone with higher proliferative capacity within a PDX can outgrow the other ones31, thus resulting in a loss of heterogeneity. Additionally, when single tumor biopsies are used to develop PDX, some of the cell populations may be missed and will not be represented in the final graft. Multiple samples from the same tumor are recommended for implantation to resolve this issue. Although PDX tumors tend to contain all the cell types of the original donor tumor, these cells are gradually substituted by those of murine origin3. The interplay between murine stroma and human tumor cells in PDX models is not well understood. Nevertheless, stromal cells were shown to recapitulate tumor microenvironment33.
Despite these limitations, PDX models remain among the most valuable tools for translational research as well as personalized medicine for selecting patient therapies. Major applications of PDXs include biomarker discovery and drug testing. PDX models are also successfully used to study drug resistance mechanisms and identify strategies to overcome drug resistance34,35. The approach described in the present manuscript allows the researcher to identify potential therapeutic targets in human tumors and to assess the efficacy of corresponding drugs in vivo, in mice harboring engrafted tumors which were initially genomically characterized. The protocol uses ovarian tumors engrafted intraperitoneally but is applicable to any type of tumor sufficiently aggressive to grow in mice2,3,12.