The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
A Renewable Tissue Resource of Phenotypically Stable, Biologically and Ethnically Diverse, Patient-Derived Human Breast Cancer Xenograft Models
Open accessAbstract
Breast cancer research is hampered by difficulties in obtaining and studying primary human breast tissue, and by the lack of in vivo preclinical models that reflect patient tumor biology accurately. To overcome these limitations, we propagated a cohort of human breast tumors grown in the epithelium-free mammary fat pad of severe combined immunodeficient (SCID)/Beige and nonobese diabetic (NOD)/SCID/IL-2γ-receptor null (NSG) mice under a series of transplant conditions. Both models yielded stably transplantable xenografts at comparably high rates (∼21% and ∼19%, respectively). Of the conditions tested, xenograft take rate was highest in the presence of a low-dose estradiol pellet. Overall, 32 stably transplantable xenograft lines were established, representing 25 unique patients. Most tumors yielding xenografts were “triple-negative” [estrogen receptor (ER)−progesterone receptor (PR)−HER2+; n = 19]. However, we established lines from 3 ER−PR−HER2+ tumors, one ER+PR−HER2−, one ER+PR+HER2−, and one “triple-positive” (ER+PR+HER2+) tumor. Serially passaged xenografts show biologic consistency with the tumor of origin, are phenotypically stable across multiple transplant generations at the histologic, transcriptomic, proteomic, and genomic levels, and show comparable treatment responses as those observed clinically. Xenografts representing 12 patients, including 2 ER+ lines, showed metastasis to the mouse lung. These models thus serve as a renewable, quality-controlled tissue resource for preclinical studies investigating treatment response and metastasis. Cancer Res; 73(15); 4885–97. ©2013 AACR.
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Cites
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Cited by
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M., Amant, F., Biankin, A. V., Budinská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,742
Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer
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Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming
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Self-citationPatient-derived xenografts undergo mouse-specific tumor evolution
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Preclinical Mouse Cancer Models: A Maze of Opportunities and Challenges
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Metadata
- Authors
- Zhang, X., Claerhout, S., Prat, A., Dobrolecki, L. E., Petrovic, I., Lai, Q., Landis, M. D., Wiechmann, L., Schiff, R., Giuliano, M., Wong, H., Fuqua, S. W., Contreras, A., Gutierrez, C., Huang, J., Mao, S., Pavlick, A. C., Froehlich, A. M., Wu, M.-F., Tsimelzon, A., Hilsenbeck, S. G., Chen, E. S., Zuloaga, P., Shaw, C. A., Rimawi, M. F., Perou, C. M., Mills, G. B., Chang, J. C., & Lewis, M. T.
- Venue
- Cancer Research
- Published
- 2013-07-31
- Volume
- 73
- Issue
- 15
- Pages
- 4885-4897
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2009164582
- Cited by
- 481
- References
- 40
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, X., Claerhout, S., Prat, A., Dobrolecki, L. E., Petrovic, I., Lai, Q., Landis, M. D., Wiechmann, L., Schiff, R., Giuliano, M., Wong, H., Fuqua, S. W., Contreras, A., Gutierrez, C., Huang, J., Mao, S., Pavlick, A. C., Froehlich, A. M., Wu, M.-F., . . . Lewis, M. T. (2013). A Renewable Tissue Resource of Phenotypically Stable, Biologically and Ethnically Diverse, Patient-Derived Human Breast Cancer Xenograft Models. Cancer Research. https://doi.org/10.1158/0008-5472.can-12-4081
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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