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Kaushal JB, Takkar S, Batra SK, Siddiqui JA. Diverse landscape of genetically engineered mouse models: Genomic and molecular insights into prostate cancer. Cancer Lett 2024; 593:216954. [PMID: 38735382 DOI: 10.1016/j.canlet.2024.216954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/26/2024] [Accepted: 05/08/2024] [Indexed: 05/14/2024]
Abstract
Prostate cancer (PCa) is a significant health concern for men worldwide and is particularly prevalent in the United States. It is a complex disease presenting different molecular subtypes and varying degrees of aggressiveness. Transgenic/genetically engineered mouse models (GEMMs) greatly enhanced our understanding of the intricate molecular processes that underlie PCa progression and have offered valuable insights into potential therapeutic targets for this disease. The integration of whole-exome and whole-genome sequencing, along with expression profiling, has played a pivotal role in advancing GEMMs by facilitating the identification of genetic alterations driving PCa development. This review focuses on genetically modified mice classified into the first and second generations of PCa models. We summarize whether models created by manipulating the function of specific genes replicate the consequences of genomic alterations observed in human PCa, including early and later disease stages. We discuss cases where GEMMs did not fully exhibit the expected human PCa phenotypes and possible causes of the failure. Here, we summarize the comprehensive understanding, recent advances, strengths and limitations of the GEMMs in advancing our insights into PCa, offering genetic and molecular perspectives for developing novel GEMM models.
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Affiliation(s)
- Jyoti B Kaushal
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Simran Takkar
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE-68198, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE-68198, USA.
| | - Jawed A Siddiqui
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE-68198, USA.
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2
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Murphy KC, Ruscetti M. Advances in Making Cancer Mouse Models More Accessible and Informative through Non-Germline Genetic Engineering. Cold Spring Harb Perspect Med 2024; 14:a041348. [PMID: 37277206 PMCID: PMC10982712 DOI: 10.1101/cshperspect.a041348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Genetically engineered mouse models (GEMMs) allow for modeling of spontaneous tumorigenesis within its native microenvironment in mice and have provided invaluable insights into mechanisms of tumorigenesis and therapeutic strategies to treat human disease. However, as their generation requires germline manipulation and extensive animal breeding that is time-, labor-, and cost-intensive, traditional GEMMs are not accessible to most researchers, and fail to model the full breadth of cancer-associated genetic alterations and therapeutic targets. Recent advances in genome-editing technologies and their implementation in somatic tissues of mice have ushered in a new class of mouse models: non-germline GEMMs (nGEMMs). nGEMM approaches can be leveraged to generate somatic tumors de novo harboring virtually any individual or group of genetic alterations found in human cancer in a mouse through simple procedures that do not require breeding, greatly increasing the accessibility and speed and scale on which GEMMs can be produced. Here we describe the technologies and delivery systems used to create nGEMMs and highlight new biological insights derived from these models that have rapidly informed functional cancer genomics, precision medicine, and immune oncology.
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Affiliation(s)
- Katherine C Murphy
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
| | - Marcus Ruscetti
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA;
- Immunology and Microbiology Program, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
- Cancer Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
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3
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Fröhlich E. Animals in Respiratory Research. Int J Mol Sci 2024; 25:2903. [PMID: 38474149 DOI: 10.3390/ijms25052903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/20/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
The respiratory barrier, a thin epithelial barrier that separates the interior of the human body from the environment, is easily damaged by toxicants, and chronic respiratory diseases are common. It also allows the permeation of drugs for topical treatment. Animal experimentation is used to train medical technicians, evaluate toxicants, and develop inhaled formulations. Species differences in the architecture of the respiratory tract explain why some species are better at predicting human toxicity than others. Some species are useful as disease models. This review describes the anatomical differences between the human and mammalian lungs and lists the characteristics of currently used mammalian models for the most relevant chronic respiratory diseases (asthma, chronic obstructive pulmonary disease, cystic fibrosis, pulmonary hypertension, pulmonary fibrosis, and tuberculosis). The generation of animal models is not easy because they do not develop these diseases spontaneously. Mouse models are common, but other species are more appropriate for some diseases. Zebrafish and fruit flies can help study immunological aspects. It is expected that combinations of in silico, in vitro, and in vivo (mammalian and invertebrate) models will be used in the future for drug development.
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Affiliation(s)
- Eleonore Fröhlich
- Center for Medical Research, Medical University of Graz, 8010 Graz, Austria
- Research Center Pharmaceutical Engineering GmbH, 8010 Graz, Austria
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4
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Reeves MQ, Balmain A. Mutations, Bottlenecks, and Clonal Sweeps: How Environmental Carcinogens and Genomic Changes Shape Clonal Evolution during Tumor Progression. Cold Spring Harb Perspect Med 2024; 14:a041388. [PMID: 38052482 PMCID: PMC10910358 DOI: 10.1101/cshperspect.a041388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
The transition from a single, initiated cell to a full-blown malignant tumor involves significant genomic evolution. Exposure to carcinogens-whether directly mutagenic or not-can drive progression toward malignancy, as can stochastic acquisition of cancer-promoting genetic events. Mouse models using both carcinogens and germline genetic manipulations have enabled precise inquiry into the evolutionary dynamics that take place as a tumor progresses from benign to malignant to metastatic stages. Tumor progression is characterized by changes in somatic point mutations and copy-number alterations, even though any single tumor can itself have a high or low burden of genomic alterations. Further, lineage-tracing, single-cell analyses and CRISPR barcoding have revealed the distinct clonal dynamics within benign and malignant tumors. Application of these tools in a range of mouse models can shed unique light on the patterns of clonal evolution that take place in both mouse and human tumors.
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Affiliation(s)
- Melissa Q Reeves
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA
- Department of Pathology, University of Utah, Salt Lake City, Utah 84112, USA
| | - Allan Balmain
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
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5
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López GP, Gannon WL. Developing a Graduate Class on Synthetic Cells at a Minority Serving Institution: Lessons from the University of New Mexico. ACS Synth Biol 2023; 12:3562-3566. [PMID: 37976421 DOI: 10.1021/acssynbio.3c00275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
This article describes the development, methodology, enrollment, and outcomes of a graduate technical elective course on synthetic cells and organelles offered at the University of New Mexico, a minority-majority institution, in Fall 2022. The course had a significant ethics component and took advantage of readily available, low cost, and no-cost teaching materials that are available online. The course was effective in attracting a diverse enrollment of graduate students and senior undergraduates, some of whom participated in a survey of their backgrounds and motivations after the course was over. The article also provides results from this survey. Courses such as the one described have the potential to increase access and participation in emerging fields of research and technology such as synthetic cells.
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Affiliation(s)
- Gabriel P López
- Center for Biomedical Engineering, Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - William L Gannon
- Department of Biology and Graduate Studies, University of New Mexico, Albuquerque, New Mexico 87131, United States
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6
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Konda P, Garinet S, Van Allen EM, Viswanathan SR. Genome-guided discovery of cancer therapeutic targets. Cell Rep 2023; 42:112978. [PMID: 37572322 DOI: 10.1016/j.celrep.2023.112978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/22/2023] [Accepted: 07/28/2023] [Indexed: 08/14/2023] Open
Abstract
The success of precision oncology-which aims to match the right therapies to the right patients based on molecular status-is predicated on a robust pipeline of molecular targets against which therapies can be developed. Recent advances in genomics and functional genetics have enabled the unbiased discovery of novel molecular targets at scale. We summarize the promise and challenges in integrating genomic and functional genetic landscapes of cancer to establish the next generation of cancer targets.
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Affiliation(s)
- Prathyusha Konda
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Simon Garinet
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Srinivas R Viswanathan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
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7
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Choi HR, Kim K. Mouse Models to Examine Differentiated Thyroid Cancer Pathogenesis: Recent Updates. Int J Mol Sci 2023; 24:11138. [PMID: 37446316 DOI: 10.3390/ijms241311138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/01/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Although the overall prognosis of differentiated thyroid cancer (DTC), the most common endocrine malignancy, is favorable, a subset of patients exhibits aggressive features. Therefore, preclinical models that can be utilized to investigate DTC pathogenesis and novel treatments are necessary. Various mouse models have been developed based on advances in thyroid cancer genetics. This review focuses on recent progress in mouse models that have been developed to elucidate the molecular pathogenesis of DTC.
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Affiliation(s)
- Hye Ryeon Choi
- Department of Surgery, Eulji Medical Center, Eulji University School of Medicine, Seoul 01830, Republic of Korea
| | - Kwangsoon Kim
- Department of Surgery, College of Medicine, Catholic University of Korea, Seoul 06591, Republic of Korea
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Barresi C, Rossiter H, Buchberger M, Pammer J, Sukseree S, Sibilia M, Tschachler E, Eckhart L. Inactivation of Autophagy in Keratinocytes Reduces Tumor Growth in Mouse Models of Epithelial Skin Cancer. Cells 2022; 11:cells11223691. [PMID: 36429119 PMCID: PMC9688105 DOI: 10.3390/cells11223691] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/07/2022] [Accepted: 11/18/2022] [Indexed: 11/22/2022] Open
Abstract
Autophagy is a ubiquitous degradation mechanism, which plays a critical role in cellular homeostasis. To test whether autophagy suppresses or supports the growth of tumors in the epidermis of the skin, we inactivated the essential autophagy gene Atg7 specifically in the epidermal keratinocytes of mice (Atg7∆ep) and subjected such mutant mice and fully autophagy-competent mice to tumorigenesis. The lack of epithelial Atg7 did not prevent tumor formation in response to 7, 12-dimethylbenz(a)anthracene (DMBA) as the initiator and 12-O tetradecanoylphorbol-13-acetate (TPA) as the promoter of tumor growth. However, the number of tumors per mouse was reduced in mice with epithelial Atg7 deficiency. In the K5-SOS EGFRwa2/wa2 mouse model, epithelial tumors were initiated by Son of sevenless (SOS) in response to wounding. Within 12 weeks after tumor initiation, 60% of the autophagy-competent K5-SOS EGFRwa2/wa2 mice had tumors of 1 cm diameter and had to be sacrificed, whereas none of the Atg7∆ep K5-SOS EGFRwa2/wa2 mice formed tumors of this size. In summary, the deletion of Atg7 reduced the growth of epithelial tumors in these two mouse models of skin cancer. Thus, our data show that the inhibition of autophagy limits the growth of epithelial skin tumors.
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Affiliation(s)
- Caterina Barresi
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
| | - Heidemarie Rossiter
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
| | - Maria Buchberger
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
| | - Johannes Pammer
- Clinical Institute of Pathology, Medical University of Vienna, 1090 Vienna, Austria
| | - Supawadee Sukseree
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
| | - Maria Sibilia
- Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria
| | - Erwin Tschachler
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
- Correspondence: (E.T.); (L.E.)
| | - Leopold Eckhart
- Department of Dermatology, Medical University of Vienna, 1090 Vienna, Austria
- Correspondence: (E.T.); (L.E.)
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Qin T, Fan J, Lu F, Zhang L, Liu C, Xiong Q, Zhao Y, Chen G, Sun C. Harnessing preclinical models for the interrogation of ovarian cancer. J Exp Clin Cancer Res 2022; 41:277. [PMID: 36114548 PMCID: PMC9479310 DOI: 10.1186/s13046-022-02486-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 09/05/2022] [Indexed: 12/24/2022] Open
Abstract
Ovarian cancer (OC) is a heterogeneous malignancy with various etiology, histopathology, and biological feature. Despite accumulating understanding of OC in the post-genomic era, the preclinical knowledge still undergoes limited translation from bench to beside, and the prognosis of ovarian cancer has remained dismal over the past 30 years. Henceforth, reliable preclinical model systems are warranted to bridge the gap between laboratory experiments and clinical practice. In this review, we discuss the status quo of ovarian cancer preclinical models which includes conventional cell line models, patient-derived xenografts (PDXs), patient-derived organoids (PDOs), patient-derived explants (PDEs), and genetically engineered mouse models (GEMMs). Each model has its own strengths and drawbacks. We focus on the potentials and challenges of using these valuable tools, either alone or in combination, to interrogate critical issues with OC.
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10
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Pezzoni M, Veugelers R, Visentin F. How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions. RESEARCH POLICY 2022. [DOI: 10.1016/j.respol.2021.104454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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11
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Connolly KA, Fitzgerald B, Damo M, Joshi NS. Novel Mouse Models for Cancer Immunology. ANNUAL REVIEW OF CANCER BIOLOGY 2022; 6:269-291. [PMID: 36875867 PMCID: PMC9979244 DOI: 10.1146/annurev-cancerbio-070620-105523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mouse models for the study of cancer immunology provide excellent systems in which to test biological mechanisms of the immune response against cancer. Historically, these models have been designed to have different strengths based on the current major research questions at the time. As such, many mouse models of immunology used today were not originally developed to study questions currently plaguing the relatively new field of cancer immunology, but instead have been adapted for such purposes. In this review, we discuss various mouse model of cancer immunology in a historical context as a means to provide a fuller perspective of each model's strengths. From this outlook, we discuss the current state of the art and strategies for tackling future modeling challenges.
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Affiliation(s)
- Kelli A Connolly
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Brittany Fitzgerald
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Martina Damo
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Nikhil S Joshi
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA
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12
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Crosby D, Bhatia S, Brindle KM, Coussens LM, Dive C, Emberton M, Esener S, Fitzgerald RC, Gambhir SS, Kuhn P, Rebbeck TR, Balasubramanian S. Early detection of cancer. Science 2022; 375:eaay9040. [PMID: 35298272 DOI: 10.1126/science.aay9040] [Citation(s) in RCA: 229] [Impact Index Per Article: 114.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Survival improves when cancer is detected early. However, ~50% of cancers are at an advanced stage when diagnosed. Early detection of cancer or precancerous change allows early intervention to try to slow or prevent cancer development and lethality. To achieve early detection of all cancers, numerous challenges must be overcome. It is vital to better understand who is at greatest risk of developing cancer. We also need to elucidate the biology and trajectory of precancer and early cancer to identify consequential disease that requires intervention. Insights must be translated into sensitive and specific early detection technologies and be appropriately evaluated to support practical clinical implementation. Interdisciplinary collaboration is key; advances in technology and biological understanding highlight that it is time to accelerate early detection research and transform cancer survival.
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Affiliation(s)
| | - Sangeeta Bhatia
- Marble Center for Cancer Nanomedicine, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Lisa M Coussens
- Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Caroline Dive
- Cancer Research UK Lung Cancer Centre of Excellence at the University of Manchester and University College London, University of Manchester, Manchester, UK
- CRUK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Sadik Esener
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
- Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, OR, USA
- Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Rebecca C Fitzgerald
- Medical Research Council (MRC) Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Sanjiv S Gambhir
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA
| | - Peter Kuhn
- USC Michelson Center Convergent Science Institute in Cancer, University of Southern California, Los Angeles, CA, USA
| | - Timothy R Rebbeck
- Division of Population Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shankar Balasubramanian
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
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13
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García Uribe JC. Propiedad intelectual, patentes y salud. REVISTA LATINOAMERICANA DE BIOÉTICA 2021. [DOI: 10.18359/rlbi.5076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Artículo de carácter reflexivo y argumentativo que busca confrontar referentes conceptuales desde la Bioética y el derecho para dar solución a estos interrogantes: ¿son los derechos de propiedad intelectual la antítesis de otros derechos? ¿Existe un conflicto de principios bioéticos en dicha tensión? ¿Cómo abordar desde la Bioética este choque de miradas? ¿Es necesario un cambio de paradigma para transformar el individualismo imperante de la contemporaneidad y evitar los daños de una guerra de rapiñas que se enmascara detrás de un eufemismo de la competencia de mercados y la propiedad intelectual? Entre argumentos, cuestionamientos y disensos se busca un abordaje a estos dilemas con un enfoque bioético. Se deja sobre la mesa la cooperación con una base de empatía y compasión para desviarse del camino del individualismo pernicioso y la voracidad subsecuente del dinero y el poder. Por ello, la Bioética como puente hacia al futuro es la disciplina llamada manifestar dicha cooperación, no solo en los ámbitos disciplinarios, sino entre los diferentes actores sociales, entre los protagonistas de esta obra, para que su final no sea trágico, sino esperanzador y saludable.
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Singh M, Dahal A, Brastianos PK. Preclinical Solid Tumor Models to Study Novel Therapeutics in Brain Metastases. Curr Protoc 2021; 1:e284. [PMID: 34762346 PMCID: PMC8597918 DOI: 10.1002/cpz1.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Metastases are the most common malignancy of the adult central nervous system and are becoming an increasingly troubling problem in oncology largely due to the lack of successful therapeutic options. The limited selection of treatments is a result of the currently poor understanding of the biological mechanisms of metastatic development, which in turn is difficult to achieve because of limited preclinical models that can accurately represent the clinical progression of metastasis. Described in this article are in vitro and in vivo model systems that are used to enhance the understanding of metastasis and to identify new therapies for the treatment of brain metastasis. © 2021 Wiley Periodicals LLC.
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Affiliation(s)
- Mohini Singh
- Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ashish Dahal
- Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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15
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Panza E, Ozenberger BB, Straessler KM, Barrott JJ, Li L, Wang Y, Xie M, Boulet A, Titen SW, Mason CC, Lazar AJ, Ding L, Capecchi MR, Jones KB. The clear cell sarcoma functional genomic landscape. J Clin Invest 2021; 131:e146301. [PMID: 34156976 DOI: 10.1172/jci146301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/18/2021] [Indexed: 11/17/2022] Open
Abstract
Clear cell sarcoma (CCS) is a deadly malignancy affecting adolescents and young adults. It is characterized by reciprocal translocations resulting in expression of the chimeric EWSR1-ATF1 or EWSR1-CREB1 fusion proteins, driving sarcomagenesis. Besides these characteristics, CCS has remained genomically uncharacterized. Copy number analysis of human CCSs showed frequent amplifications of the MITF locus and chromosomes 7 and 8. Few alterations were shared with Ewing sarcoma or desmoplastic, small round cell tumors, which are other EWSR1-rearranged tumors. Exome sequencing in mouse tumors generated by expression of EWSR1-ATF1 from the Rosa26 locus demonstrated no other repeated pathogenic variants. Additionally, we generated a new CCS mouse by Cre-loxP-induced chromosomal translocation between Ewsr1 and Atf1, resulting in copy number loss of chromosome 6 and chromosome 15 instability, including amplification of a portion syntenic to human chromosome 8, surrounding Myc. Additional experiments in the Rosa26 conditional model demonstrated that Mitf or Myc can contribute to sarcomagenesis. Copy number observations in human tumors and genetic experiments in mice rendered, for the first time to our knowledge, a functional landscape of the CCS genome. These data advance efforts to understand the biology of CCS using innovative models that will eventually allow us to validate preclinical therapies necessary to achieve longer and better survival for young patients with this disease.
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Affiliation(s)
- Emanuele Panza
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Benjamin B Ozenberger
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Krystal M Straessler
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Jared J Barrott
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Li Li
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Yanliang Wang
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Mingchao Xie
- Departments of Medicine and Genetics, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Anne Boulet
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Simon Wa Titen
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Clinton C Mason
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Alexander J Lazar
- Departments of Pathology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Li Ding
- Departments of Medicine and Genetics, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Mario R Capecchi
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Kevin B Jones
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Kim B, Guaregua V, Chen X, Zhao C, Yeow W, Berg NK, Eltzschig HK, Yuan X. Characterization of a Murine Model System to Study MicroRNA-147 During Inflammatory Organ Injury. Inflammation 2021; 44:1426-1440. [PMID: 33566257 PMCID: PMC7873671 DOI: 10.1007/s10753-021-01427-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 12/15/2020] [Accepted: 01/26/2021] [Indexed: 12/13/2022]
Abstract
Inflammatory organ injury and sepsis have profound impacts on the morbidity and mortality of surgical and critical care patients. MicroRNAs are small RNAs composed of 20-25 nucleotides that have a significant contribution to gene regulation. MicroRNA-147 (miR-147), in particular, has been shown to have an emerging role in different physiological functions such as cell cycle regulation and inflammatory responses. However, animal model systems to study tissue-specific functions of miR-147 during inflammatory conditions in vivo are lacking. In the present study, we characterize miR-147 expression in different organs and cell types. Next, we generated a transgenic mouse line with a floxed miR-147 gene. Subsequently, we used this mouse line to generate mice with whole-body deletion of miR-147 (miR-147 -/-) by crossing "floxed" miR-147 mice with transgenic mice expressing Cre recombinase in all tissues (CMVcre mice). Systematic analysis of miR-147 -/- mice demonstrates normal growth, development, and off-spring. In addition, deletion of the target gene in different organs was successful at baseline or during inflammation, including the heart, intestine, stomach, liver, spleen, bone marrow, lungs, kidneys, or stomach. Moreover, miR-147 -/- mice have identical baseline inflammatory gene expression compared to C57BL/6 mice, except elevated IL-6 expression in the spleen (7.5 fold, p < 0.05). Taken together, our data show the successful development of a transgenic animal model for tissue and cell-specific deletion of miR-147 that can be used to study the functional roles of miR-147 during inflammatory organ injury.
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Affiliation(s)
- Boyun Kim
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Victor Guaregua
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Xuebo Chen
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Chad Zhao
- McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Wanyi Yeow
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Nathaniel K Berg
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Holger K Eltzschig
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Xiaoyi Yuan
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
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17
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Barbet V, Broutier L. Future Match Making: When Pediatric Oncology Meets Organoid Technology. Front Cell Dev Biol 2021; 9:674219. [PMID: 34327198 PMCID: PMC8315550 DOI: 10.3389/fcell.2021.674219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/10/2021] [Indexed: 11/13/2022] Open
Abstract
Unlike adult cancers that frequently result from the accumulation in time of mutational “hits” often linked to lifestyle, childhood cancers are emerging as diseases of dysregulated development through massive epigenetic alterations. The ability to reconstruct these differences in cancer models is therefore crucial for better understanding the uniqueness of pediatric cancer biology. Cancer organoids (i.e., tumoroids) represent a promising approach for creating patient-derived in vitro cancer models that closely recapitulate the overall pathophysiological features of natural tumorigenesis, including intra-tumoral heterogeneity and plasticity. Though largely applied to adult cancers, this technology is scarcely used for childhood cancers, with a notable delay in technological transfer. However, tumoroids could provide an unprecedented tool to unravel the biology of pediatric cancers and improve their therapeutic management. We herein present the current state-of-the-art of a long awaited and much needed matchmaking.
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Affiliation(s)
- Virginie Barbet
- Childhood Cancer & Cell Death (C3), Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon (CRCL), Lyon, France
| | - Laura Broutier
- Childhood Cancer & Cell Death (C3), Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon (CRCL), Lyon, France
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18
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Sajjad H, Imtiaz S, Noor T, Siddiqui YH, Sajjad A, Zia M. Cancer models in preclinical research: A chronicle review of advancement in effective cancer research. Animal Model Exp Med 2021; 4:87-103. [PMID: 34179717 PMCID: PMC8212826 DOI: 10.1002/ame2.12165] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/04/2021] [Indexed: 12/15/2022] Open
Abstract
Cancer is a major stress for public well-being and is the most dreadful disease. The models used in the discovery of cancer treatment are continuously changing and extending toward advanced preclinical studies. Cancer models are either naturally existing or artificially prepared experimental systems that show similar features with human tumors though the heterogeneous nature of the tumor is very familiar. The choice of the most fitting model to best reflect the given tumor system is one of the real difficulties for cancer examination. Therefore, vast studies have been conducted on the cancer models for developing a better understanding of cancer invasion, progression, and early detection. These models give an insight into cancer etiology, molecular basis, host tumor interaction, the role of microenvironment, and tumor heterogeneity in tumor metastasis. These models are also used to predict novel cancer markers, targeted therapies, and are extremely helpful in drug development. In this review, the potential of cancer models to be used as a platform for drug screening and therapeutic discoveries are highlighted. Although none of the cancer models is regarded as ideal because each is associated with essential caveats that restraint its application yet by bridging the gap between preliminary cancer research and translational medicine. However, they promise a brighter future for cancer treatment.
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Affiliation(s)
- Humna Sajjad
- Department of BiotechnologyQuaid‐i‐Azam UniversityIslamabadPakistan
| | - Saiqa Imtiaz
- Department of BiotechnologyQuaid‐i‐Azam UniversityIslamabadPakistan
| | - Tayyaba Noor
- Department of BiotechnologyQuaid‐i‐Azam UniversityIslamabadPakistan
| | | | - Anila Sajjad
- Department of BiotechnologyQuaid‐i‐Azam UniversityIslamabadPakistan
| | - Muhammad Zia
- Department of BiotechnologyQuaid‐i‐Azam UniversityIslamabadPakistan
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19
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Boix-Montesinos P, Soriano-Teruel PM, Armiñán A, Orzáez M, Vicent MJ. The past, present, and future of breast cancer models for nanomedicine development. Adv Drug Deliv Rev 2021; 173:306-330. [PMID: 33798642 PMCID: PMC8191594 DOI: 10.1016/j.addr.2021.03.018] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/19/2021] [Accepted: 03/26/2021] [Indexed: 02/07/2023]
Abstract
Even given recent advances in nanomedicine development of breast cancer treatment in recent years and promising results in pre-clinical models, cancer nanomedicines often fail at the clinical trial stage. Limitations of conventional in vitro models include the lack of representation of the stromal population, the absence of a three-dimensional (3D) structure, and a poor representation of inter-tumor and intra-tumor heterogeneity. Herein, we review those cell culture strategies that aim to overcome these limitations, including cell co-cultures, advanced 3D cell cultures, patient-derived cells, bioprinting, and microfluidics systems. The in vivo evaluation of nanomedicines must consider critical parameters that include the enhanced permeability and retention effect, the host's immune status, and the site of tumor implantation. Here, we critically discuss the advantages and limitations of current in vivo models and report how the improved selection and application of breast cancer models can improve the clinical translation of nanomedicines.
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Affiliation(s)
- Paz Boix-Montesinos
- Centro de Investigación Príncipe Felipe, Polymer Therapeutics Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain.
| | - Paula M Soriano-Teruel
- Centro de Investigación Príncipe Felipe, Polymer Therapeutics Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain; Centro de Investigación Príncipe Felipe, Targeted Therapies on Cancer and Inflammation Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain.
| | - Ana Armiñán
- Centro de Investigación Príncipe Felipe, Polymer Therapeutics Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain.
| | - Mar Orzáez
- Centro de Investigación Príncipe Felipe, Targeted Therapies on Cancer and Inflammation Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain.
| | - María J Vicent
- Centro de Investigación Príncipe Felipe, Polymer Therapeutics Laboratory, Av. Eduardo Primo Yúfera 3, E-46012 Valencia, Spain.
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20
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Hicks WH, Bird CE, Traylor JI, Shi DD, El Ahmadieh TY, Richardson TE, McBrayer SK, Abdullah KG. Contemporary Mouse Models in Glioma Research. Cells 2021; 10:cells10030712. [PMID: 33806933 PMCID: PMC8004772 DOI: 10.3390/cells10030712] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/20/2021] [Accepted: 03/20/2021] [Indexed: 02/07/2023] Open
Abstract
Despite advances in understanding of the molecular pathogenesis of glioma, outcomes remain dismal. Developing successful treatments for glioma requires faithful in vivo disease modeling and rigorous preclinical testing. Murine models, including xenograft, syngeneic, and genetically engineered models, are used to study glioma-genesis, identify methods of tumor progression, and test novel treatment strategies. Since the discovery of highly recurrent isocitrate dehydrogenase (IDH) mutations in lower-grade gliomas, there is increasing emphasis on effective modeling of IDH mutant brain tumors. Improvements in preclinical models that capture the phenotypic and molecular heterogeneity of gliomas are critical for the development of effective new therapies. Herein, we explore the current status, advancements, and challenges with contemporary murine glioma models.
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Affiliation(s)
- William H. Hicks
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Cylaina E. Bird
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Jeffrey I. Traylor
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Diana D. Shi
- Department of Radiation Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA;
| | - Tarek Y. El Ahmadieh
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Timothy E. Richardson
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX 75229, USA;
| | - Samuel K. McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Harrold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Correspondence: (S.K.M.); (K.G.A.)
| | - Kalil G. Abdullah
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
- Harrold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Correspondence: (S.K.M.); (K.G.A.)
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21
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Aaes TL, Vandenabeele P. The intrinsic immunogenic properties of cancer cell lines, immunogenic cell death, and how these influence host antitumor immune responses. Cell Death Differ 2021; 28:843-860. [PMID: 33214663 PMCID: PMC7937679 DOI: 10.1038/s41418-020-00658-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 01/30/2023] Open
Abstract
Modern cancer therapies often involve the combination of tumor-directed cytotoxic strategies and generation of a host antitumor immune response. The latter is unleashed by immunotherapies that activate the immune system generating a more immunostimulatory tumor microenvironment and a stronger tumor antigen-specific immune response. Studying the interaction between antitumor cytotoxic therapies, dying cancer cells, and the innate and adaptive immune system requires appropriate experimental tumor models in mice. In this review, we discuss the immunostimulatory and immunosuppressive properties of cancer cell lines commonly used in immunogenic cell death (ICD) studies being apoptosis or necroptosis. We will especially focus on the antigenic component of immunogenicity. While in several cancer cell lines the epitopes of endogenously expressed tumor antigens are known, these intrinsic epitopes are rarely determined in experimental apoptotic or necroptotic ICD settings. Instead by far the most ICD research studies investigate the antigenic response against exogenously expressed model antigens such as ovalbumin or retroviral epitopes (e.g., AH1). In this review, we will argue that the immune response against endogenous tumor antigens and the immunopeptidome profile of cancer cell lines affect the eventual biological readouts in the typical prophylactic tumor vaccination type of experiments used in ICD research, and we will propose additional methods involving immunopeptidome profiling, major histocompatibility complex molecule expression, and identification of tumor-infiltrating immune cells to document intrinsic immunogenicity following different cell death modalities.
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Affiliation(s)
- Tania Løve Aaes
- grid.11486.3a0000000104788040Unit for Cell Clearance in Health and Disease, VIB Center for Inflammation Research, Ghent, Belgium ,grid.5342.00000 0001 2069 7798Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium ,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Peter Vandenabeele
- grid.5342.00000 0001 2069 7798Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium ,Cancer Research Institute Ghent (CRIG), Ghent, Belgium ,grid.11486.3a0000000104788040Unit of Molecular Signaling and Cell Death, VIB Center for Inflammation Research, Ghent, Belgium
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22
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Bella Á, Di Trani CA, Fernández-Sendin M, Arrizabalaga L, Cirella A, Teijeira Á, Medina-Echeverz J, Melero I, Berraondo P, Aranda F. Mouse Models of Peritoneal Carcinomatosis to Develop Clinical Applications. Cancers (Basel) 2021; 13:cancers13050963. [PMID: 33669017 PMCID: PMC7956655 DOI: 10.3390/cancers13050963] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/19/2021] [Accepted: 02/20/2021] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Peritoneal carcinomatosis mouse models as a platform to test, improve and/or predict the appropriate therapeutic interventions in patients are crucial to providing medical advances. Here, we overview reported mouse models to explore peritoneal carcinomatosis in translational biomedical research. Abstract Peritoneal carcinomatosis of primary tumors originating in gastrointestinal (e.g., colorectal cancer, gastric cancer) or gynecologic (e.g., ovarian cancer) malignancies is a widespread type of tumor dissemination in the peritoneal cavity for which few therapeutic options are available. Therefore, reliable preclinical models are crucial for research and development of efficacious treatments for this condition. To date, a number of animal models have attempted to reproduce as accurately as possible the complexity of the tumor microenvironment of human peritoneal carcinomatosis. These include: Syngeneic tumor cell lines, human xenografts, patient-derived xenografts, genetically induced tumors, and 3D scaffold biomimetics. Each experimental model has its own strengths and limitations, all of which can influence the subsequent translational results concerning anticancer and immunomodulatory drugs under exploration. This review highlights the current status of peritoneal carcinomatosis mouse models for preclinical development of anticancer drugs or immunotherapeutic agents.
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Affiliation(s)
- Ángela Bella
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | - Claudia Augusta Di Trani
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | - Myriam Fernández-Sendin
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | - Leire Arrizabalaga
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | - Assunta Cirella
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | - Álvaro Teijeira
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
| | | | - Ignacio Melero
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- Department of Oncology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- Department of Immunology and Immunotherapy, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Pedro Berraondo
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- Correspondence: (P.B.); (F.A.)
| | - Fernando Aranda
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, 31008 Pamplona, Spain; (Á.B.); (C.A.D.T.); (M.F.-S.); (L.A.); (A.C.); (Á.T.); (I.M.)
- Navarra Institute for Health Research (IDISNA), 31008 Pamplona, Spain
- Correspondence: (P.B.); (F.A.)
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23
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Abstract
Breast cancer is the most common malignancy in women. Basic and translational breast cancer research relies heavily on experimental animal models. Ideally, such models for breast cancer should have commonality with human breast cancer in terms of tumor etiology, biological behavior, pathology, and response to therapeutics. This review introduces current progress in different breast cancer experimental animal models and analyzes their characteristics, advantages, disadvantages, and potential applications. Finally, we propose future research directions for breast cancer animal models.
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Affiliation(s)
- Li Zeng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Wei Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Ce-Shi Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
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24
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Hoenerhoff MJ, Meyerholz DK, Brayton C, Beck AP. Challenges and Opportunities for the Veterinary Pathologist in Biomedical Research. Vet Pathol 2020; 58:258-265. [PMID: 33327888 DOI: 10.1177/0300985820974005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Animal models have critical roles in biomedical research in promoting understanding of human disease and facilitating development of new therapies and diagnostic techniques to improve human and animal health. In the study of myriad human conditions, each model requires in-depth characterization of its assets and limitations in order for it to be used to greatest advantage. Veterinary pathology expertise is critical in understanding the relevance and translational validity of animal models to conditions under study, assessing morbidity and mortality, and validating outcomes as relevant or not to the study interventions. Clear communication with investigators and education of research personnel on the use and interpretation of pathology endpoints in animal models are critical to the success of any research program. The veterinary pathologist is underutilized in biomedical research due to many factors including misconceptions about high fiscal costs, lack of perceived value, limited recognition of their expertise, and the generally low number of veterinary pathologists currently employed in biomedical research. As members of the multidisciplinary research team, veterinary pathologists have an important role to educate scientists, ensure accurate interpretation of pathology data, maximize rigor, and ensure reproducibility to provide the most reliable data for animal models in biomedical research.
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25
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Understanding and Treating Niemann-Pick Type C Disease: Models Matter. Int J Mol Sci 2020; 21:ijms21238979. [PMID: 33256121 PMCID: PMC7730076 DOI: 10.3390/ijms21238979] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 02/06/2023] Open
Abstract
Biomedical research aims to understand the molecular mechanisms causing human diseases and to develop curative therapies. So far, these goals have been achieved for a small fraction of diseases, limiting factors being the availability, validity, and use of experimental models. Niemann–Pick type C (NPC) is a prime example for a disease that lacks a curative therapy despite substantial breakthroughs. This rare, fatal, and autosomal-recessive disorder is caused by defects in NPC1 or NPC2. These ubiquitously expressed proteins help cholesterol exit from the endosomal–lysosomal system. The dysfunction of either causes an aberrant accumulation of lipids with patients presenting a large range of disease onset, neurovisceral symptoms, and life span. Here, we note general aspects of experimental models, we describe the line-up used for NPC-related research and therapy development, and we provide an outlook on future topics.
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26
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Onaciu A, Munteanu R, Munteanu VC, Gulei D, Raduly L, Feder RI, Pirlog R, Atanasov AG, Korban SS, Irimie A, Berindan-Neagoe I. Spontaneous and Induced Animal Models for Cancer Research. Diagnostics (Basel) 2020; 10:E660. [PMID: 32878340 PMCID: PMC7555044 DOI: 10.3390/diagnostics10090660] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/24/2020] [Accepted: 08/24/2020] [Indexed: 12/14/2022] Open
Abstract
Considering the complexity of the current framework in oncology, the relevance of animal models in biomedical research is critical in light of the capacity to produce valuable data with clinical translation. The laboratory mouse is the most common animal model used in cancer research due to its high adaptation to different environments, genetic variability, and physiological similarities with humans. Beginning with spontaneous mutations arising in mice colonies that allow for pursuing studies of specific pathological conditions, this area of in vivo research has significantly evolved, now capable of generating humanized mice models encompassing the human immune system in biological correlation with human tumor xenografts. Moreover, the era of genetic engineering, especially of the hijacking CRISPR/Cas9 technique, offers powerful tools in designing and developing various mouse strains. Within this article, we will cover the principal mouse models used in oncology research, beginning with behavioral science of animals vs. humans, and continuing on with genetically engineered mice, microsurgical-induced cancer models, and avatar mouse models for personalized cancer therapy. Moreover, the area of spontaneous large animal models for cancer research will be briefly presented.
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Affiliation(s)
- Anca Onaciu
- Research Center for Advanced Medicine - Medfuture, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (A.O.); (R.M.); (R.-I.F.)
| | - Raluca Munteanu
- Research Center for Advanced Medicine - Medfuture, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (A.O.); (R.M.); (R.-I.F.)
| | - Vlad Cristian Munteanu
- Department of Urology, The Oncology Institute “Prof Dr. Ion Chiricuta”, 400015 Cluj-Napoca, Romania;
- Department of Anatomy and Embryology, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Diana Gulei
- Research Center for Advanced Medicine - Medfuture, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (A.O.); (R.M.); (R.-I.F.)
| | - Lajos Raduly
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (L.R.); (R.P.)
| | - Richard-Ionut Feder
- Research Center for Advanced Medicine - Medfuture, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (A.O.); (R.M.); (R.-I.F.)
| | - Radu Pirlog
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (L.R.); (R.P.)
- Department of Morphological Sciences, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Atanas G. Atanasov
- Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria;
- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec, 05-552 Magdalenka, Poland
- Institute of Neurobiology, Bulgarian Academy of Sciences, 23 Acad. G. Bonchev str., 1113 Sofia, Bulgaria
- Department of Pharmacognosy, University of Vienna, 1090 Vienna, Austria
| | - Schuyler S. Korban
- Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;
| | - Alexandru Irimie
- 11th Department of Surgical Oncology and Gynaecological Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 400015 Cluj-Napoca, Romania;
- Department of Surgery, The Oncology Institute Prof. Dr. Ion Chiricuta, 34–36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania; (L.R.); (R.P.)
- Department of Functional Genomics and Experimental Pathology, The Oncology Institute “Prof. Dr. Ion Chiricuta”, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
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Role of c-Fos in orthodontic tooth movement: an in vivo study using transgenic mice. Clin Oral Investig 2020; 25:593-601. [PMID: 32803442 PMCID: PMC7819946 DOI: 10.1007/s00784-020-03503-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 08/05/2020] [Indexed: 01/05/2023]
Abstract
Objectives The transcription factor c-Fos controls the differentiation of osteoclasts and is expressed in periodontal ligament cells after mechanical stimulation in vitro. However, it is unclear how c-Fos regulates orthodontic tooth movement (OTM) in vivo. The aim of this study was therefore to analyse OTM in transgenic mice with overexpression of c-Fos. Materials and methods We employed c-Fos transgenic mice (c-Fos tg) and wild-type littermates (WT) in a model of OTM induced by Nitinol tension springs that were bonded between the left first maxillary molars and the upper incisors. The unstimulated contralateral side served as an internal control. Mice were analysed by contact radiography, micro-computed tomography, decalcified histology and histochemistry. Results Our analysis of the unstimulated side revealed that alveolar bone and root morphology were similar between c-Fos tg and control mice. However, we observed more osteoclasts in the alveolar bone of c-Fos tg mice as tartrate-resistant acid phosphatase (TRAP)-positive cells were increased by 40%. After 12 days of OTM, c-Fos tg mice exhibited 62% increased tooth movement as compared with WT mice. Despite the faster tooth movement, c-Fos tg and WT mice displayed the same amount of root resorption. Importantly, we did not observe orthodontically induced tissue necrosis (i.e. hyalinization) in c-Fos tg mice, while this was a common finding in WT mice. Conclusion Overexpression of c-Fos accelerates tooth movement without causing more root resorption. Clinical relevance Accelerated tooth movement must not result in more root resorption as higher tissue turnover may decrease the amount of mechanically induced tissue necrosis. Electronic supplementary material The online version of this article (10.1007/s00784-020-03503-1) contains supplementary material, which is available to authorized users.
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Hölzen L, Parigiani MA, Reinheckel T. Tumor cell- and microenvironment-specific roles of cysteine cathepsins in mouse models of human cancers. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2020; 1868:140423. [PMID: 32247787 DOI: 10.1016/j.bbapap.2020.140423] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 03/20/2020] [Accepted: 03/29/2020] [Indexed: 12/22/2022]
Abstract
The human genome encodes for 11 papain-like endolysosomal cysteine peptidases, collectively known as the cysteine cathepsins. Based on their biochemical properties and with the help of experiments in cell culture, the cysteine cathepsins have acquired a reputation as promotors of progression and metastasis of various cancer entities. However, tumors are known to be complex tissues in which non-cancerous cells are also critical for tumorigenesis. Here we discuss the results of the intense investigation of cathepsins in mouse models of human cancers. We focus on models in immunocompetent mice, because only such models allow for analysis of cathepsins in a fully functional tumor microenvironment. An important outcome of those studies was the identification of cancer-promoting cathepsins in tumor-associated macrophages. Another interesting outcome of these animal studies was the identification of a homeostatic tumor-suppressive role for cathepsin L in skin and intestinal cancers. Taken together, these in vivo findings provide a basis for the use of cysteine cathepsins as therapeutic targets, prodrug activators, or as proteases for imaging tumors.
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Affiliation(s)
- Lena Hölzen
- Institute of Molecular Medicine and Cell Research, Medical Faculty, University of Freiburg, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany; German Cancer Research Center (DKFZ), Heidelberg, German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany
| | - Maria Alejandra Parigiani
- Institute of Molecular Medicine and Cell Research, Medical Faculty, University of Freiburg, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Thomas Reinheckel
- Institute of Molecular Medicine and Cell Research, Medical Faculty, University of Freiburg, Freiburg, Germany; German Cancer Research Center (DKFZ), Heidelberg, German Cancer Consortium (DKTK), Partner Site, Freiburg, Germany; BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany.
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Abstract
Overcoming intrinsic and extrinsic tumor-suppressive barriers is an essential feature of tumor progression. In this issue of Developmental Cell, Michael et al. (2019) use the RIP-Tag mouse model to show that pro-apoptotic signals mediated by the Activin B-ALK7 axis suppress ectopic proliferation and metastasis during pancreatic neuroendocrine cancer development.
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Affiliation(s)
- Xiaoyi Li
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Gerstner Sloan Kettering Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrea Ventura
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
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31
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Hsieh CH, Cheung CHY, Liu YL, Hou CL, Hsu CL, Huang CT, Yang TS, Chen SF, Chen CN, Hsu WM, Huang HC, Juan HF. Quantitative Proteomics of Th-MYCN Transgenic Mice Reveals Aurora Kinase Inhibitor Altered Metabolic Pathways and Enhanced ACADM To Suppress Neuroblastoma Progression. J Proteome Res 2019; 18:3850-3866. [PMID: 31560547 DOI: 10.1021/acs.jproteome.9b00245] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Neuroblastoma is a neural crest-derived embryonal tumor and accounts for about 15% of all cancer deaths in children. MYCN amplification is associated with aggressive and advanced stage of high-risk neuroblastoma, which remains difficult to treat and exhibits poor survival under current multimodality treatment. Here, we analyzed the transcriptomic profiles of neuroblastoma patients and showed that aurora kinases lead to poor survival and had positive correlation with MYCN amplification and high-risk disease. Further, pan-aurora kinase inhibitor (tozasertib) treatment not only induces cell-cycle arrest and suppresses cell proliferation, migration, and invasion ability in MYCN-amplified (MNA) neuroblastoma cell lines, but also inhibits tumor growth and prolongs animal survival in Th-MYCN transgenic mice. Moreover, we performed quantitative proteomics and identified 150 differentially expressed proteins after tozasertib treatment in the Th-MYCN mouse model. The functional and network-based enrichment revealed that tozasertib alters metabolic processes and identified a mitochondrial flavoenzyme in fatty acid β-oxidation, ACADM, which is correlated with aurora kinases and neuroblastoma patient survival. Our findings indicate that the aurora kinase inhibitor could cause metabolic imbalance, possibly by disturbing carbohydrate and fatty acid metabolic pathways, and ACADM may be a potential target in MNA neuroblastoma.
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Affiliation(s)
| | | | - Yen-Lin Liu
- Department of Pediatrics , Taipei Medical University Hospital , Taipei 110 , Taiwan
| | | | - Chia-Lang Hsu
- Department of Medical Research , National Taiwan University Hospital , Taipei 100 , Taiwan
| | | | - Tsai-Shan Yang
- Department of Surgery , National Taiwan University Hospital and College of Medicine National Taiwan University , Taipei 100 , Taiwan
| | - Sung-Fang Chen
- Department of Chemistry , National Taiwan Normal University , Taipei 116 , Taiwan
| | - Chiung-Nien Chen
- Department of Surgery , National Taiwan University Hospital and College of Medicine National Taiwan University , Taipei 100 , Taiwan
| | - Wen-Ming Hsu
- Department of Surgery , National Taiwan University Hospital and College of Medicine National Taiwan University , Taipei 100 , Taiwan
| | - Hsuan-Cheng Huang
- Institute of Biomedical Informatics , National Yang-Ming University , Taipei 112 , Taiwan
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Bachtarzi H, Farries T. The Genetically Modified Organism Medicinal Framework in Europe, United States, and Japan: Underlying Scientific Principles and Considerations Toward the Development of Gene Therapy and Genetically Modified Cell-Based Products. HUM GENE THER CL DEV 2019; 30:114-128. [DOI: 10.1089/humc.2019.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Affiliation(s)
| | - Tim Farries
- ERA Consulting (UK) Ltd, London, United Kingdom
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Filice F, Blum W, Lauber E, Schwaller B. Inducible and reversible silencing of the Pvalb gene in mice: An in vitro and in vivo study. Eur J Neurosci 2019; 50:2694-2706. [PMID: 30883994 DOI: 10.1111/ejn.14404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/25/2019] [Accepted: 03/04/2019] [Indexed: 01/08/2023]
Abstract
Inducible and reversible regulation of gene expression is a powerful approach for unraveling gene functions. Here, we describe the generation of a system to efficiently downregulate in a reversible and inducible manner the Pvalb gene coding for the calcium-binding protein parvalbumin (PV) in mice. We made use of an IPTG-inducible short hairpin RNA to activate Pvalb transcript knockdown and subsequently downregulate PV. The downregulation was rapidly reversed after withdrawal of IPTG. In vitro and in vivo experiments revealed a decrease in PV expression of ≥50% in the presence of IPTG and full reversibility after IPTG removal. We foresee that the tightly regulated and reversible PV downregulation in mice in vivo will provide a new tool for the control of Pvalb transcript expression in a temporal manner. Because PV protein and PVALB transcript levels were found to be lower in the brain of patients with autism spectrum disorder and schizophrenia, the novel transgenic mouse line might serve as a model to investigate the putative role of PV in these neurodevelopmental disorders.
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Affiliation(s)
- Federica Filice
- Department of Neuroscience & Movements Science, Section of Medicine, University of Fribourg, Fribourg, Switzerland
| | - Walter Blum
- Department of Neuroscience & Movements Science, Section of Medicine, University of Fribourg, Fribourg, Switzerland
| | - Emanuel Lauber
- Department of Neuroscience & Movements Science, Section of Medicine, University of Fribourg, Fribourg, Switzerland
| | - Beat Schwaller
- Department of Neuroscience & Movements Science, Section of Medicine, University of Fribourg, Fribourg, Switzerland
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Mouse-Derived Isograft (MDI) In Vivo Tumor Models I. Spontaneous sMDI Models: Characterization and Cancer Therapeutic Approaches. Cancers (Basel) 2019; 11:cancers11020244. [PMID: 30791466 PMCID: PMC6406567 DOI: 10.3390/cancers11020244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 02/13/2019] [Accepted: 02/15/2019] [Indexed: 01/05/2023] Open
Abstract
Syngeneic in vivo tumor models are valuable for the development and investigation of immune-modulating anti-cancer drugs. In the present study, we established a novel syngeneic in vivo model type named mouse-derived isografts (MDIs). Spontaneous MDIs (sMDIs) were obtained during a long-term observation period (more than one to two years) of naïve and untreated animals of various mouse strains (C3H/HeJ, CBA/J, DBA/2N, BALB/c, and C57BL/6N). Primary tumors or suspicious tissues were assessed macroscopically and re-transplanted in a PDX-like manner as small tumor pieces into sex-matched syngeneic animals. Nine outgrowing primary tumors were histologically characterized either as adenocarcinomas, histiocytic carcinomas, or lymphomas. Growth of the tumor pieces after re-transplantation displayed model heterogeneity. The adenocarcinoma sMDI model JA-0009 was further characterized by flow cytometry, RNA-sequencing, and efficacy studies. M2 macrophages were found to be the main tumor infiltrating leukocyte population, whereas only a few T cells were observed. JA-0009 showed limited sensitivity when treated with antibodies against inhibitory checkpoint molecules (anti-mPD-1 and anti-mCTLA-4), but high sensitivity to gemcitabine treatment. The generated sMDI are spontaneously occurring tumors of low passage number, propagated as tissue pieces in mice without any tissue culturing, and thus conserving the original tumor characteristics and intratumoral immune cell populations.
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Abstract
Breast cancer remains the second leading cause of cancer death among woman, worldwide, despite advances in identifying novel targeted therapies and the development of treating strategies. Classification of clinical subtypes (ER+, PR+, HER2+, and TNBC (Triple-negative)) increases the complexity of breast cancers, which thus necessitates further investigation. Mouse models used in breast cancer research provide an essential approach to examine the mechanisms and genetic pathway in cancer progression and metastasis and to develop and evaluate clinical therapeutics. In this review, we summarize tumor transplantation models and genetically engineered mouse models (GEMMs) of breast cancer and their applications in the field of human breast cancer research and anti-cancer drug development. These models may help to improve the knowledge of underlying mechanisms and genetic pathways, as well as creating approaches for modeling clinical tumor subtypes, and developing innovative cancer therapy.
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36
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de Ruiter JR, Wessels LFA, Jonkers J. Mouse models in the era of large human tumour sequencing studies. Open Biol 2018; 8:180080. [PMID: 30111589 PMCID: PMC6119864 DOI: 10.1098/rsob.180080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 07/13/2018] [Indexed: 12/16/2022] Open
Abstract
Cancer is a complex disease in which cells progressively accumulate mutations disrupting their cellular processes. A fraction of these mutations drive tumourigenesis by affecting oncogenes or tumour suppressor genes, but many mutations are passengers with no clear contribution to tumour development. The advancement of DNA and RNA sequencing technologies has enabled in-depth analysis of thousands of human tumours from various tissues to perform systematic characterization of their (epi)genomes and transcriptomes in order to identify (epi)genetic changes associated with cancer. Combined with considerable progress in algorithmic development, this expansion in scale has resulted in the identification of many cancer-associated mutations, genes and pathways that are considered to be potential drivers of tumour development. However, it remains challenging to systematically identify drivers affected by complex genomic rearrangements and drivers residing in non-coding regions of the genome or in complex amplicons or deletions of copy-number driven tumours. Furthermore, functional characterization is challenging in the human context due to the lack of genetically tractable experimental model systems in which the effects of mutations can be studied in the context of their tumour microenvironment. In this respect, mouse models of human cancer provide unique opportunities for pinpointing novel driver genes and their detailed characterization. In this review, we provide an overview of approaches for complementing human studies with data from mouse models. We also discuss state-of-the-art technological developments for cancer gene discovery and validation in mice.
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Affiliation(s)
- J R de Ruiter
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - L F A Wessels
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of EEMCS, Delft University of Technology, Delft, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - J Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
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37
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Tagliamonte M, Petrizzo A, Mauriello A, Tornesello ML, Buonaguro FM, Buonaguro L. Potentiating cancer vaccine efficacy in liver cancer. Oncoimmunology 2018; 7:e1488564. [PMID: 30288355 PMCID: PMC6169594 DOI: 10.1080/2162402x.2018.1488564] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 06/08/2018] [Accepted: 06/10/2018] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common liver malignancy with a poor prognosis and an overall 5-year survival rate of approximately 5-6%. This is due because standard of care treatment options are limited and none of them shows a sufficient efficacy. HCC is an "inflammation-induced cancer" and preliminary preclinical and clinical data suggest that immunotherapeutic approaches may be a good alternative candidate for the treatment of HCC patients improving the dismal prognosis associated with this cancer. However, recent findings strongly suggest that an optimal immunotherapy in HCC requires the combination of an immune activator with immune modulators, aiming at compensating the strong liver immune suppressive microenvironment. One of the most promising strategy could be represented by the combination of a cancer vaccine with immunomodulatory drugs, such as chemotherapy and checkpoint inhibitors. Very limited examples of such combinatorial strategies have been evaluated in HCC to date, because HCC easily develops resistance to standard chemotherapy, which is also poorly tolerated by patients with liver cirrhosis. The present review describes the most update knowledge in this field.
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Affiliation(s)
| | | | | | - Maria Lina Tornesello
- Lab of Molecular Biology & Viral Oncology, Dept Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, “Fondazione Pascale” - IRCCS, Naples, Italy
| | - Franco M Buonaguro
- Lab of Molecular Biology & Viral Oncology, Dept Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, “Fondazione Pascale” - IRCCS, Naples, Italy
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38
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Lampreht Tratar U, Horvat S, Cemazar M. Transgenic Mouse Models in Cancer Research. Front Oncol 2018; 8:268. [PMID: 30079312 PMCID: PMC6062593 DOI: 10.3389/fonc.2018.00268] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 06/29/2018] [Indexed: 12/26/2022] Open
Abstract
The use of existing mouse models in cancer research is of utmost importance as they aim to explore the casual link between candidate cancer genes and carcinogenesis as well as to provide models to develop and test new therapies. However, faster progress in translating mouse cancer model research into the clinic has been hampered due to the limitations of these models to better reflect the complexities of human tumors. Traditionally, immunocompetent and immunodeficient mice with syngeneic and xenografted tumors transplanted subcutaneously or orthotopically have been used. These models are still being widely employed for many different types of studies, in part due to their widespread availability and low cost. Other types of mouse models used in cancer research comprise transgenic mice in which oncogenes can be constitutively or conditionally expressed and tumor-suppressor genes silenced using conventional methods, such as retroviral infection, microinjection of DNA constructs, and the so-called "gene-targeted transgene" approach. These traditional transgenic models have been very important in studies of carcinogenesis and tumor pathogenesis, as well as in studies evaluating the development of resistance to therapy. Recently, the clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing approach has revolutionized the field of mouse cancer models and has had a profound and rapid impact on the development of more effective systems to study human cancers. The CRISPR/Cas9-based transgenic models have the capacity to engineer a wide spectrum of mutations found in human cancers and provide solutions to problems that were previously unsolvable. Recently, humanized mouse xenograft models that accept patient-derived xenografts and CD34+ cells were developed to better mimic tumor heterogeneity, the tumor microenvironment, and cross-talk between the tumor and stromal/immune cells. These features make them extremely valuable models for the evaluation of investigational cancer therapies, specifically new immunotherapies. Taken together, improvements in both the CRISPR/Cas9 system producing more valid mouse models and in the humanized mouse xenograft models resembling complex interactions between the tumor and its environment might represent one of the successful pathways to precise individualized cancer therapy, leading to improved cancer patient survival and quality of life.
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Affiliation(s)
- Ursa Lampreht Tratar
- Department of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Simon Horvat
- Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Maja Cemazar
- Department of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia.,Faculty of Health Sciences, University of Primorska, Isola, Slovenia
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39
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Wellenstein MD, de Visser KE. Cancer-Cell-Intrinsic Mechanisms Shaping the Tumor Immune Landscape. Immunity 2018; 48:399-416. [DOI: 10.1016/j.immuni.2018.03.004] [Citation(s) in RCA: 329] [Impact Index Per Article: 54.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/09/2018] [Accepted: 02/27/2018] [Indexed: 12/12/2022]
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40
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Bansal N, Bosch A, Leibovitch B, Pereira L, Cubedo E, Yu J, Pierzchalski K, Jones JW, Fishel M, Kane M, Zelent A, Waxman S, Farias E. Blocking the PAH2 domain of Sin3A inhibits tumorigenesis and confers retinoid sensitivity in triple negative breast cancer. Oncotarget 2018; 7:43689-43702. [PMID: 27286261 PMCID: PMC5190053 DOI: 10.18632/oncotarget.9905] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 05/05/2016] [Indexed: 12/24/2022] Open
Abstract
Triple negative breast cancer (TNBC) frequently relapses locally, regionally or as systemic metastases. Development of targeted therapy that offers significant survival benefit in TNBC is an unmet clinical need. We have previously reported that blocking interactions between PAH2 domain of chromatin regulator Sin3A and the Sin3 interaction domain (SID) containing proteins by SID decoys result in EMT reversal, and re-expression of genes associated with differentiation. Here we report a novel and therapeutically relevant combinatorial use of SID decoys. SID decoys activate RARα/β pathways that are enhanced in combination with RARα-selective agonist AM80 to induce morphogenesis and inhibit tumorsphere formation. These findings correlate with inhibition of mammary hyperplasia and a significant increase in tumor-free survival in MMTV-Myc oncomice treated with a small molecule mimetic of SID (C16). Further, in two well-established mouse TNBC models we show that treatment with C16-AM80 combination has marked anti-tumor effects, prevents lung metastases and seeding of tumor cells to bone marrow. This correlated to a remarkable 100% increase in disease-free survival with a possibility of "cure" in mice bearing a TNBC-like tumor. Targeting Sin3A by C16 alone or in combination with AM80 may thus be a promising adjuvant therapy for treating or preventing metastatic TNBC.
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Affiliation(s)
- Nidhi Bansal
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Almudena Bosch
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Boris Leibovitch
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lutecia Pereira
- Division of Hemato-Oncology, Department of Medicine, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Elena Cubedo
- Division of Hemato-Oncology, Department of Medicine, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jianshi Yu
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, MD, USA
| | - Keely Pierzchalski
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, MD, USA
| | - Jace W Jones
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, MD, USA
| | - Melissa Fishel
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maureen Kane
- Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, MD, USA
| | - Arthur Zelent
- Division of Hemato-Oncology, Department of Medicine, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Samuel Waxman
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eduardo Farias
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Contractor T, Kobayashi S, da Silva E, Clausen R, Chan C, Vosburgh E, Tang LH, Levine AJ, Harris CR. Sexual dimorphism of liver metastasis by murine pancreatic neuroendocrine tumors is affected by expression of complement C5. Oncotarget 2017; 7:30585-96. [PMID: 27105526 PMCID: PMC5058703 DOI: 10.18632/oncotarget.8874] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 03/31/2016] [Indexed: 01/04/2023] Open
Abstract
In a mouse model for neuroendocrine tumors of the pancreas (PanNETs), liver metastasis occurred at a higher frequency in males. Male mice also had higher serum and intratumoral levels of the innate immunity protein complement C5. In mice that lost the ability to express complement C5, there was a lower frequency of metastasis, and males no longer had a higher frequency of metastasis than females. Treatment with PMX53, a small molecule antagonist of C5aR1/CD88, the receptor for complement C5a, also reduced metastasis. Mice lacking a functional gene for complement C5 had smaller primary tumors, which were less invasive and lacked the CD68+ macrophages that have previously been associated with metastasis in this type of tumor. This is the first report of a gene that causes sexual dimorphism of metastasis in a mouse model. In the human disease, which also shows sexual dimorphism for metastasis, clinically advanced tumors expressed more complement C5 than less advanced tumors.
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Affiliation(s)
| | | | - Edaise da Silva
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Richard Clausen
- Raymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, USA
| | - Chang Chan
- Rutgers University Cancer Institute of New Jersey and Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Evan Vosburgh
- Raymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, USA
| | - Laura H Tang
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Arnold J Levine
- Institute for Advanced Study, Princeton, NJ, USA.,Rutgers University Cancer Institute of New Jersey and Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Chris R Harris
- Raymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, USA.,Rutgers University Cancer Institute of New Jersey and Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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42
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Gengenbacher N, Singhal M, Augustin HG. Preclinical mouse solid tumour models: status quo, challenges and perspectives. Nat Rev Cancer 2017; 17:751-765. [PMID: 29077691 DOI: 10.1038/nrc.2017.92] [Citation(s) in RCA: 193] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Oncology research in humans is limited to analytical and observational studies for obvious ethical reasons, with therapy-focused clinical trials being the one exception to this rule. Preclinical mouse tumour models therefore serve as an indispensable intermediate experimental model system bridging more reductionist in vitro research with human studies. Based on a systematic survey of preclinical mouse tumour studies published in eight scientific journals in 2016, this Analysis provides an overview of how contemporary preclinical mouse tumour biology research is pursued. It thereby identifies some of the most important challenges in this field and discusses potential ways in which preclinical mouse tumour models could be improved for better relevance, reproducibility and translatability.
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Affiliation(s)
- Nicolas Gengenbacher
- Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ-ZMBH Alliance), 69120 Heidelberg, Germany
| | - Mahak Singhal
- Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ-ZMBH Alliance), 69120 Heidelberg, Germany
- Department of Vascular Biology and Tumor Angiogenesis (CBTM), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Hellmut G Augustin
- Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ-ZMBH Alliance), 69120 Heidelberg, Germany
- Department of Vascular Biology and Tumor Angiogenesis (CBTM), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- German Cancer Consortium, 69120 Heidelberg, Germany
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43
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Kersten K, de Visser KE, van Miltenburg MH, Jonkers J. Genetically engineered mouse models in oncology research and cancer medicine. EMBO Mol Med 2017; 9:137-153. [PMID: 28028012 PMCID: PMC5286388 DOI: 10.15252/emmm.201606857] [Citation(s) in RCA: 277] [Impact Index Per Article: 39.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Genetically engineered mouse models (GEMMs) have contributed significantly to the field of cancer research. In contrast to cancer cell inoculation models, GEMMs develop de novo tumors in a natural immune‐proficient microenvironment. Tumors arising in advanced GEMMs closely mimic the histopathological and molecular features of their human counterparts, display genetic heterogeneity, and are able to spontaneously progress toward metastatic disease. As such, GEMMs are generally superior to cancer cell inoculation models, which show no or limited heterogeneity and are often metastatic from the start. Given that GEMMs capture both tumor cell‐intrinsic and cell‐extrinsic factors that drive de novo tumor initiation and progression toward metastatic disease, these models are indispensable for preclinical research. GEMMs have successfully been used to validate candidate cancer genes and drug targets, assess therapy efficacy, dissect the impact of the tumor microenvironment, and evaluate mechanisms of drug resistance. In vivo validation of candidate cancer genes and therapeutic targets is further accelerated by recent advances in genetic engineering that enable fast‐track generation and fine‐tuning of GEMMs to more closely resemble human patients. In addition, aligning preclinical tumor intervention studies in advanced GEMMs with clinical studies in patients is expected to accelerate the development of novel therapeutic strategies and their translation into the clinic.
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Affiliation(s)
- Kelly Kersten
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Karin E de Visser
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Martine H van Miltenburg
- Division of Molecular Pathology and Cancer Genomics Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jos Jonkers
- Division of Molecular Pathology and Cancer Genomics Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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44
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Abstract
The discovery of the microRNAs, lin-4 and let-7 as critical mediators of normal development in Caenorhabditis elegans and their conservation throughout evolution has spearheaded research toward identifying novel roles of microRNAs in other cellular processes. To accurately elucidate these fundamental functions, especially in the context of an intact organism, various microRNA transgenic models have been generated and evaluated. Transgenic C. elegans (worms), Drosophila melanogaster (flies), Danio rerio (zebrafish), and Mus musculus (mouse) have contributed immensely toward uncovering the roles of multiple microRNAs in cellular processes such as proliferation, differentiation, and apoptosis, pathways that are severely altered in human diseases such as cancer. The simple model organisms, C. elegans, D. melanogaster, and D. rerio, do not develop cancers but have proved to be convenient systesm in microRNA research, especially in characterizing the microRNA biogenesis machinery which is often dysregulated during human tumorigenesis. The microRNA-dependent events delineated via these simple in vivo systems have been further verified in vitro, and in more complex models of cancers, such as M. musculus. The focus of this review is to provide an overview of the important contributions made in the microRNA field using model organisms. The simple model systems provided the basis for the importance of microRNAs in normal cellular physiology, while the more complex animal systems provided evidence for the role of microRNAs dysregulation in cancers. Highlights include an overview of the various strategies used to generate transgenic organisms and a review of the use of transgenic mice for evaluating preclinical efficacy of microRNA-based cancer therapeutics.
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Affiliation(s)
- Arpita S Pal
- PULSe Graduate Program, Purdue University, West Lafayette, IN, United States
| | - Andrea L Kasinski
- Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, United States.
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45
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Huang J, Chen M, Whitley MJ, Kuo HC, Xu ES, Walens A, Mowery YM, Van Mater D, Eward WC, Cardona DM, Luo L, Ma Y, Lopez OM, Nelson CE, Robinson-Hamm JN, Reddy A, Dave SS, Gersbach CA, Dodd RD, Kirsch DG. Generation and comparison of CRISPR-Cas9 and Cre-mediated genetically engineered mouse models of sarcoma. Nat Commun 2017; 8:15999. [PMID: 28691711 PMCID: PMC5508130 DOI: 10.1038/ncomms15999] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 05/17/2017] [Indexed: 01/03/2023] Open
Abstract
Genetically engineered mouse models that employ site-specific recombinase technology are important tools for cancer research but can be costly and time-consuming. The CRISPR-Cas9 system has been adapted to generate autochthonous tumours in mice, but how these tumours compare to tumours generated by conventional recombinase technology remains to be fully explored. Here we use CRISPR-Cas9 to generate multiple subtypes of primary sarcomas efficiently in wild type and genetically engineered mice. These data demonstrate that CRISPR-Cas9 can be used to generate multiple subtypes of soft tissue sarcomas in mice. Primary sarcomas generated with CRISPR-Cas9 and Cre recombinase technology had similar histology, growth kinetics, copy number variation and mutational load as assessed by whole exome sequencing. These results show that sarcomas generated with CRISPR-Cas9 technology are similar to sarcomas generated with conventional modelling techniques and suggest that CRISPR-Cas9 can be used to more rapidly generate genotypically and phenotypically similar cancers.
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Affiliation(s)
- Jianguo Huang
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Mark Chen
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
- Medical Scientist Training Program, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Melodi Javid Whitley
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
- Medical Scientist Training Program, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Hsuan-Cheng Kuo
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Eric S. Xu
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Andrea Walens
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Yvonne M. Mowery
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - David Van Mater
- Division of Hematology-Oncology, Department of Pediatrics, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - William C. Eward
- Department of Orthopedic Surgery, Duke University, Durham, North Carolina 27710, USA
| | - Diana M. Cardona
- Department of Pathology, Duke University, Durham, North Carolina 27710, USA
| | - Lixia Luo
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Yan Ma
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Omar M. Lopez
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Christopher E. Nelson
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
- Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA
| | - Jacqueline N. Robinson-Hamm
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
- Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA
| | - Anupama Reddy
- Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA
| | - Sandeep S. Dave
- Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA
- Department of Medicine, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Charles A. Gersbach
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
- Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA
| | - Rebecca D. Dodd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - David G. Kirsch
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA
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46
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Galuschka C, Proynova R, Roth B, Augustin HG, Müller-Decker K. Models in Translational Oncology: A Public Resource Database for Preclinical Cancer Research. Cancer Res 2017; 77:2557-2563. [DOI: 10.1158/0008-5472.can-16-3099] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 01/05/2017] [Accepted: 03/15/2017] [Indexed: 12/12/2022]
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Santos NP, Colaço AA, Oliveira PA. Animal models as a tool in hepatocellular carcinoma research: A Review. Tumour Biol 2017; 39:1010428317695923. [PMID: 28347231 DOI: 10.1177/1010428317695923] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Cancer is the first cause of death in developed countries and the second in developing countries. Concerning the most frequent worldwide-diagnosed cancer, primary liver cancer represents approximately 4% of all new cancer cases diagnosed globally. However, among primary liver cancer, hepatocellular carcinoma is by far the most common histological subtype. Notwithstanding the health promotion and disease prevention campaigns, more than half a million new hepatocellular carcinoma cases are reported yearly, being estimated to growth continuously until 2020. Taking this scenario under consideration and the fact that some aspects concerning hepatocellular carcinoma evolution and metastasize process are still unknown, animal models assume a crucial role to understand this disease. The animal models have also provided the opportunity to screen new therapeutic strategies. The present review was supported on research and review papers aiming the complexity and often neglected chemically induced animal models in hepatocarcinogenesis research. Despite the ongoing debate, chemically induced animal models, namely, mice and rat, can provide unique valuable information on the biotransformation mechanisms against xenobiotics and apprehend the deleterious effects on DNA and cell proteins leading to carcinogenic development. In addition, taking under consideration that no model achieves all hepatocellular carcinoma research purposes, criteria to define the " ideal" animal model, depending on the researchers' approach, are also discussed in this review.
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Affiliation(s)
- Nuno Paula Santos
- 1 Department of Veterinary Sciences, Veterinary and Animal Science Research Center (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal.,2 Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
| | - Aura Antunes Colaço
- 1 Department of Veterinary Sciences, Veterinary and Animal Science Research Center (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
| | - Paula Alexandra Oliveira
- 1 Department of Veterinary Sciences, Veterinary and Animal Science Research Center (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal.,2 Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
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48
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Goldberg L, Gough SM, Lee F, Dang C, Walker RL, Zhu YJ, Bilke S, Pineda M, Onozawa M, Jo Chung Y, Meltzer PS, Aplan PD. Somatic mutations in murine models of leukemia and lymphoma: Disease specificity and clinical relevance. Genes Chromosomes Cancer 2017; 56:472-483. [PMID: 28196408 DOI: 10.1002/gcc.22451] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 02/06/2017] [Accepted: 02/06/2017] [Indexed: 12/17/2022] Open
Abstract
Malignant transformation is a multistep process that is dictated by the acquisition of multiple genomic aberrations that provide growth and survival advantage. During the post genomic era, high throughput genomic sequencing has advanced exponentially, leading to identification of countless cancer associated mutations with potential for targeted therapy. Mouse models of cancer serve as excellent tools to examine the functionality of gene mutations and their contribution to the malignant process. However, it remains unclear whether the genetic events that occur during transformation are similar in mice and humans. To address that, we chose several transgenic mouse models of hematopoietic malignancies and identified acquired mutations in these mice by means of targeted re-sequencing of known cancer-associated genes as well as whole exome sequencing. We found that mutations that are typically found in acute myeloid leukemia or T cell acute lymphoblastic leukemia patients are also common in mouse models of the respective disease. Moreover, we found that the most frequent mutations found in a mouse model of lymphoma occur in a set of epigenetic modifier genes, implicating this pathway in the generation of lymphoma. These results demonstrate that genetically engineered mouse models (GEMM) mimic the genetic evolution of human cancer and serve as excellent platforms for target discovery and validation.
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Affiliation(s)
- Liat Goldberg
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sheryl M Gough
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Fan Lee
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Christine Dang
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Robert L Walker
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Yuelin J Zhu
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sven Bilke
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Marbin Pineda
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Masahiro Onozawa
- Center for Medical Education/Department of hematology, Hokkaido University Graduate School of Medicine Hokkaido, Japan
| | - Yang Jo Chung
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Paul S Meltzer
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Peter D Aplan
- Genetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
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49
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McCreery MQ, Balmain A. Chemical Carcinogenesis Models of Cancer: Back to the Future. ANNUAL REVIEW OF CANCER BIOLOGY-SERIES 2017. [DOI: 10.1146/annurev-cancerbio-050216-122002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Over a century has elapsed since the first demonstration that exposure to chemicals in coal tar can cause cancer in animals. These observations provided an essential causal mechanistic link between environmental chemicals and increased risk of cancer in human populations. Mouse models of chemical carcinogenesis have since led to the concept of multistage tumor development through distinct stages of initiation, promotion, and progression and identified many of the genetic and biological events involved in these processes. Recent breakthroughs in DNA sequencing have now given us tools to dissect complete tumor genome architectures and revealed that chemically induced cancers in the mouse carry a high point mutation load and mutation signatures that reflect the causative agent used for tumor induction. Chemical carcinogenesis models may therefore provide a route to identify the causes of mutation signatures found in human cancers and further inform studies of therapeutic drug resistance and responses to immunotherapy, which are dependent on mutation load and genetic heterogeneity.
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Affiliation(s)
- Melissa Q. McCreery
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California 94115;,
| | - Allan Balmain
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California 94115;,
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50
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Abstract
The generation of a new genetically modified mouse strain is a big hurdle to take for many researchers. It is often unclear which steps and decisions have to be made prior to obtaining the desired mouse model. This review aims to help researchers by providing a decision guide that answers the essential questions that need to be asked before generating the most suitable genetically modified mouse line in the most optimal timeframe. The review includes the latest technologies in both the stem cell culture and gene editing tools, particularly CRISPR/Cas9, and provides compatibility guidelines for selecting among the different types of genetic modifications that can be introduced in the mouse genome and the various routes for introducing these modifications into the mouse germline.
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Affiliation(s)
- Ivo J Huijbers
- Mouse Clinic for Cancer and Aging, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
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