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In vivo xenograft models derived from human cancer cells have been a gold standard for evaluating the genetic drivers of cancer and are valuable preclinical models for evaluating the efficacy of cancer therapeutics. Recently, patient-derived tumorgrafts from multiple tumor types have been developed and shown to more accurately recapitulate the molecular and histological heterogeneity of cancer. Here we detail the procedures for developing patient-derived xenograft models from breast cancer tissue, cell-based xenograft models, serial tumor transplantation, tumor measurement, and drug treatment.
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[Abstract] In vivo xenograft models derived from human cancer cells have been a gold standard for evaluating the genetic drivers of cancer and are valuable preclinical models for evaluating the efficacy of cancer therapeutics. Recently, patient-derived tumorgrafts from multiple tumor types have been developed and shown to more accurately recapitulate the molecular and histological heterogeneity of cancer. Here we detail the procedures for developing patient-derived xenograft models from breast cancer tissue, cell-based xenograft models, serial tumor transplantation, tumor measurement, and drug treatment.
Keywords: Patient-derived xenograft, Tumor transplantation, Mammary fat pad, Tumor measurement, Dosing
[Background] Xenograft models have served as a robust method for investigating the genetic drivers of cancer and determining the potential efficacy of cancer therapeutics. The ability to propagate human cancer cells and tissues in mice was drastically advanced with the discovery of T-cell deficient athymic nude (nu/nu) mice and T- and B-cell deficient severe combined immunodeficient (scid/scid) mice (Flanagan, 1966; Bosma and Carroll, 1991). Since these discoveries additional immunocompromised mouse models have become available including, recombination-activating gene 2 (Rag2)-knockout mice, non-obese (NOD)-scid mice, and NOD-scid IL2Rgamma(null) mice (also known as NSG mice) (Shinkai et al., 1992; Prochazka et al., 1992; Shultz et al., 2005). These immunocompromised mouse models have enabled the development of numerous and diverse in vivo models of human cancer. There are several options that should be considered when developing a xenograft model including the site of injection or implantation. Subcutaneous xenografts are often used in in vivo studies due to tumor accessibility for growth measurement and imaging; however a significant limitation of this model is the lack of a normal stromal microenvironment for most cancer cells. Orthotopic xenografts offer a complementary stromal microenvironment; however there are also disadvantages to this route depending on the orthotopic site, including more complex surgical procedures, difficulty of measuring tumor growth or response, and the limitations of rodent stroma (Talmadge et al., 2007). The use of orthotopic xenografts have been used extensively in many cancer studies, especially breast cancer research. Injecting into the mammary fat pad is a relatively simple procedure that allows for the visible and measurable growth of breast cancer cells. Even though the mammary fat pad offers a complementary tissue site for breast cancer cells it is important to note there are distinct differences between the human and rodent mammary stroma and hormonal environment. Xenograft models have been used extensively as predictive models of cancer therapeutic efficacy. For preclinical studies, it is essential to evaluate drug efficacy and potential toxicities in vivo. Even though in vivo preclinical studies are valuable, the results have not consistently translated to the clinic and the significance of these studies are debated (Talmadge et al., 2007; Sausville and Burger, 2006). There are several variables that need to be considered when designing drug studies such as the appropriate cell lines (or PDX models), dosage and dosing schedules, and statistical analysis. Each of these factors should be carefully considered in order to most closely mimic human cancer progression and treatment response. Recently there have been significant advances in the development of patient-derived tumor xenografts (PDX). PDX models have the advantage of maintaining the molecular and histological heterogeneity of the original tumor (DeRose et al., 2011). Moreover, they have been shown to be superior at predicting drug response compared to standard cell culture xenograft models (Hait, 2010; Fruchter et al., 1990; Voskoglou-Nomikos et al., 2003; Gao et al., 2015). Recent studies have advanced the success of establishing breast cancer PDX models that recapitulate the molecular, stromal, and phenotypic heterogeneity that exists in breast cancer (DeRose et al., 2013). Overall, cell line-based and patient-derived xenografts are essential models for investigating cancer initiation, progression, and treatment response. Here, we describe the protocols for developing cell-based xenograft models, patient-derived xenograft models from breast cancer tissue, serial tumor transplantation, tumor measurement, and drug treatment.
Materials and Reagents
Equipment
Procedure
Notes:
Note: To practice proper placement, dyes such as trypan blue can be injected into the subcutaneous pocket or the mammary fat pad. It is important to avoid injecting into the inguinal lymph node in the 4th mammary fat pad.
Note: Patient samples are not routinely tested for bloodborne pathogens. Proper technique and safety protocols should be followed when handling human tissue.
Data analysis
For drug treatment experiments, mice are randomized into control or treatment groups based on tumor size. The number of mice needed for each experiment/treatment group is determined by a power analysis. Tumor volume is longitudinally monitored pre- and post-treatment. Biostatisticians are blinded to treatment status to mitigate bias being introduced to the statistical analysis. Linear mixed-effects models is used test for significant differences in drug response across treatment arms and the XenoCat modeling framework is leveraged to increase statistical power if poorly growing xenograft/PDX subjects are present (Laajala et al., 2012). Appropriate model contrasts are invoked to formally test for synergism or antagonism in drug response. Bonferroni corrections are applied to control the familywise error rate.
Notes
Acknowledgments
We would like to thank Bryn Eagleson and the VARI Vivarium staff for their expertise. The protocols described here were used in multiple studies supported by The Breast Cancer Research Foundation, Muskegon Tempting Tables, and the Van Andel Foundation.
References
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