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Radaelli E, Santagostino SF, Sellers RS, Brayton CF. Immune Relevant and Immune Deficient Mice: Options and Opportunities in Translational Research. ILAR J 2019; 59:211-246. [PMID: 31197363 PMCID: PMC7114723 DOI: 10.1093/ilar/ily026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 12/03/2018] [Indexed: 12/29/2022] Open
Abstract
In 1989 ILAR published a list and description of immunodeficient rodents used in research. Since then, advances in understanding of molecular mechanisms; recognition of genetic, epigenetic microbial, and other influences on immunity; and capabilities in manipulating genomes and microbiomes have increased options and opportunities for selecting mice and designing studies to answer important mechanistic and therapeutic questions. Despite numerous scientific breakthroughs that have benefitted from research in mice, there is debate about the relevance and predictive or translational value of research in mice. Reproducibility of results obtained from mice and other research models also is a well-publicized concern. This review summarizes resources to inform the selection and use of immune relevant mouse strains and stocks, aiming to improve the utility, validity, and reproducibility of research in mice. Immune sufficient genetic variations, immune relevant spontaneous mutations, immunodeficient and autoimmune phenotypes, and selected induced conditions are emphasized.
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Affiliation(s)
- Enrico Radaelli
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sara F Santagostino
- Department of Safety Assessment, Genentech, Inc., South San Francisco, California
| | | | - Cory F Brayton
- Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Katsiampoura A, Raghav K, Jiang ZQ, Menter DG, Varkaris A, Morelli MP, Manuel S, Wu J, Sorokin AV, Rizi BS, Bristow C, Tian F, Airhart S, Cheng M, Broom BM, Morris J, Overman MJ, Powis G, Kopetz S. Modeling of Patient-Derived Xenografts in Colorectal Cancer. Mol Cancer Ther 2017; 16:1435-1442. [PMID: 28468778 DOI: 10.1158/1535-7163.mct-16-0721] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 03/13/2017] [Accepted: 04/19/2017] [Indexed: 12/16/2022]
Abstract
Developing realistic preclinical models using clinical samples that mirror complex tumor biology and behavior are vital to advancing cancer research. While cell line cultures have been helpful in generating preclinical data, the genetic divergence between these and corresponding primary tumors has limited clinical translation. Conversely, patient-derived xenografts (PDX) in colorectal cancer are highly representative of the genetic and phenotypic heterogeneity in the original tumor. Coupled with high-throughput analyses and bioinformatics, these PDXs represent robust preclinical tools for biomarkers, therapeutic target, and drug discovery. Successful PDX engraftment is hypothesized to be related to a series of anecdotal variables namely, tissue source, cancer stage, tumor grade, acquisition strategy, time to implantation, exposure to prior systemic therapy, and genomic heterogeneity of tumors. Although these factors at large can influence practices and patterns related to xenotransplantation, their relative significance in determining the success of establishing PDXs is uncertain. Accordingly, we systematically examined the predictive ability of these factors in establishing PDXs using 90 colorectal cancer patient specimens that were subcutaneously implanted into immunodeficient mice. Fifty (56%) PDXs were successfully established. Multivariate analyses showed tissue acquisition strategy [surgery 72.0% (95% confidence interval (CI): 58.2-82.6) vs. biopsy 35% (95% CI: 22.1%-50.6%)] to be the key determinant for successful PDX engraftment. These findings contrast with current empiricism in generating PDXs and can serve to simplify or liberalize PDX modeling protocols. Better understanding the relative impact of these factors on efficiency of PDX formation will allow for pervasive integration of these models in care of colorectal cancer patients. Mol Cancer Ther; 16(7); 1435-42. ©2017 AACR.
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Affiliation(s)
- Anastasia Katsiampoura
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zhi-Qin Jiang
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David G Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Andreas Varkaris
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Maria P Morelli
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shanequa Manuel
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ji Wu
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexey V Sorokin
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bahar Salimian Rizi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher Bristow
- Department of Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Feng Tian
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Susan Airhart
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Bradley M Broom
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey Morris
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael J Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Garth Powis
- Sanford Burnham Prebys Discovery Institute, La Jolla, California
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Jeanne A, Martiny L, Dedieu S. Thrombospondin-targeting TAX2 peptide impairs tumor growth in preclinical mouse models of childhood neuroblastoma. Pediatr Res 2017; 81:480-488. [PMID: 27842053 DOI: 10.1038/pr.2016.242] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 09/15/2016] [Indexed: 01/03/2023]
Abstract
BACKGROUND We have previously identified TAX2 peptide as an orthosteric antagonist for thrombospondin-1 (TSP-1) interaction with the cell-surface receptor CD47. TAX2 displays exciting antiangiogenic, antitumor, and antimetastatic properties in both allograft and xenograft models of melanoma as well as pancreatic carcinoma. Here, TAX2 therapeutic potential was investigated in two distinct preclinical mouse models of neuroblastoma. METHODS SK-N-BE(2) (MYCN-amplified) and SK-N-SH (MYCN-negative) human neuroblastoma cells have been implanted in outbred NMRI nude mice prior to systemic administrations of TAX2, and then tumor growth as well as intratumoral blood flow were longitudinally monitored. At study termination, subcutaneous xenografts were macroscopically and histopathologically examined. RESULTS In both models, TAX2 induced a significant inhibition of tumor burden in mice engrafted with large pre-established neuroblastoma tumors. Indeed, TAX2 administered at biologically relevant doses sharply alters xenograft vascularization as well as multiple features of tumor progression. CONCLUSION Altogether, our results present TAX2 peptide specifically targeting TSP-1:CD47 interaction as a new putative therapeutic approach for treating neuroblastoma, whether utilized alone or in combination with existing chemotherapy drugs.
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Affiliation(s)
- Albin Jeanne
- Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France.,SATT Nord, Lille, France
| | - Laurent Martiny
- Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
| | - Stéphane Dedieu
- Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
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