A xenograft (or heterograft) is a piece of living tissue taken from a donor of one species and grafted into a recipient of different species. Cancer refers to a group of diseases characterized by uncontrolled division of abnormal cells in a part of the body. According to WHO’s (World Health Organization) site, cancer is one of the leading causes of morbidity (rate of illness) and mortality (rate of death) worldwide, with approximately 14 million new cases and 8.2 million cancer-related deaths in 2012. With the number of annual cases set to rise to 22 million within the next 2 decades, the search for new drugs is both vital and urgent.
According to the FDA, the rate of success for a medicinal compound entering phase I testing actually reaching the market is only 8%. These drugs would have shown signs of efficacy in in vitro and/or in animal models and yet the culmination of perhaps a decade of pre-screening and evaluation results in another failure to translate into success in human studies. While the reasons for this are complex, one major factor is the need for cancer models that better represent the native tumor microenvironment and thus respond to potential cancer drugs in a manner more representative of a human response.
In the search for the best cancer drug models, one type of model of particular note are patient-derived tumor xenograft (or PDTX) mice. Here, we’ll discuss the pros and cons of PDTX mice as cancer models.
Patient-Derived Human Xenografts
PDTX models or “xeno-patients” are made by implanting cancerous tissue from a human primary tumor into an immunodeficient mouse. Human tumor cells may be transplanted into a mouse model by a number of methods including under the skin (subcutaneously), into the abdominal cavity (intraperitoneally), and into the organ of origin (orthotopically). Once the tumor has grown, it can be removed, divided and implanted into more mice allowing researchers to create a colony. Two commonly used immunocompromised mouse strains are nude and NOD/SCID mice.
Immunocompromised mice are ideal for implanting xenogeneic tumors into as they are less able to reject them. They also allow you to simulate the complex microenvironment a tumor would normally grow in including a nutrient- and oxygen-rich blood supply capable of removing toxins, the extracellular matrix, the presence of other cell types and of growth factors. It also gives the tumor the ability to promote angiogenesis and metastasize, a feat that cannot yet be adequately models outside of a living organism.
Jargon Alert!
Nude mice: a hairless mouse strain that is athymic resulting in a lack of T cells. They also only have a partial B cell response. These mice must be homozygotic for the nu gene meaning two copies of the gene must be present to be useful as PDTX models. NOD/SCID mice: severe combined immunodeficient mice lack functional B and T cells if they are homozygous for the SCID. It is common for SCID mice to be crossed with non-obese diabetic (NOD) mice, which lack natural killer or NK cells to further reduce their immune capabilities. They may also be crossed with a mouse strain with a defective interleukin-2 receptor γ-chain gene (IL2rg), also called the common γ-chain gene (γc) to create NOD-scid-γc or an NSG mouse. IL2RƔnull mice can also be used to create a NOD-scid-IL-2RƔ or NOG mice. NSG and NOG mice not only have defective B, T and NK cells but other innate immune cells are also dysfunctional. These mice are more extensively reviewed by Goyama et al.. |
Let’s go over some of the pros and cons of PDTX models.
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Conclusion
Despite the disadvantages around using the various PDTX models available, they’ve already improved the success rate of several drugs tested in mice translating into efficacious treatments for humans. This field is evolving so rapidly and involves so many different PDTX models, it’s very difficult to pin down which approach is the closest and most accurate model of the human tumor and its microenvironment. It’s likely that this depends largely on the questions the researchers are trying to answer, the type of cancer their studying and the specifics of the mice with which they’re working. As the research protocols used becomes more streamlined, more widely used and more routine, the real value of these models will become more quantifiable but in the meantime it’s still a very promising area that’s sure to produce more pertinent and helpful data as they already have.