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Yadav R, Mahajan S, Singh H, Mehra NK, Madan J, Doijad N, Singh PK, Guru SK. Emerging In Vitro and In Vivo Models: Hope for the Better Understanding of Cancer Progression and Treatment. Adv Biol (Weinh) 2024; 8:e2300487. [PMID: 38581078 DOI: 10.1002/adbi.202300487] [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: 09/12/2023] [Revised: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Various cancer models have been developed to aid the understanding of the underlying mechanisms of tumor development and evaluate the effectiveness of various anticancer drugs in preclinical studies. These models accurately reproduce the critical stages of tumor initiation and development to mimic the tumor microenvironment better. Using these models for target validation, tumor response evaluation, resistance modeling, and toxicity comprehension can significantly enhance the drug development process. Herein, various in vivo or animal models are presented, typically consisting of several mice and in vitro models ranging in complexity from transwell models to spheroids and CRISPR-Cas9 technologies. While in vitro models have been used for decades and dominate the early stages of drug development, they are still limited primary to simplistic tests based on testing on a single cell type cultivated in Petri dishes. Recent advancements in developing new cancer therapies necessitate the generation of complicated animal models that accurately mimic the tumor's complexity and microenvironment. Mice make effective tumor models as they are affordable, have a short reproductive cycle, exhibit rapid tumor growth, and are simple to manipulate genetically. Human cancer mouse models are crucial to understanding the neoplastic process and basic and clinical research improvements. The following review summarizes different in vitro and in vivo metastasis models, their advantages and disadvantages, and their ability to serve as a model for cancer research.
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Affiliation(s)
- Rachana Yadav
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
| | - Srushti Mahajan
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, India
| | - Hoshiyar Singh
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
| | - Neelesh Kumar Mehra
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, India
| | - Jitender Madan
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, India
| | - Nandkumar Doijad
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
| | - Pankaj Kumar Singh
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, India
| | - Santosh Kumar Guru
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
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2
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Sunassee ED, Deutsch RJ, D’Agostino VW, Castellano-Escuder P, Siebeneck EA, Ilkayeva O, Crouch BT, Madonna MC, Everitt J, Alvarez JV, Palmer GM, Hirschey MD, Ramanujam N. Optical imaging reveals chemotherapy-induced metabolic reprogramming of residual disease and recurrence. SCIENCE ADVANCES 2024; 10:eadj7540. [PMID: 38579004 PMCID: PMC10997195 DOI: 10.1126/sciadv.adj7540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Fewer than 20% of triple-negative breast cancer patients experience long-term responses to mainstay chemotherapy. Resistant tumor subpopulations use alternative metabolic pathways to escape therapy, survive, and eventually recur. Here, we show in vivo, longitudinal metabolic reprogramming in residual disease and recurrence of triple-negative breast cancer xenografts with varying sensitivities to the chemotherapeutic drug paclitaxel. Optical imaging coupled with metabolomics reported an increase in non-glucose-driven mitochondrial metabolism and an increase in intratumoral metabolic heterogeneity during regression and residual disease in resistant MDA-MB-231 tumors. Conversely, sensitive HCC-1806 tumors were primarily reliant on glucose uptake and minimal changes in metabolism or heterogeneity were observed over the tumors' therapeutic life cycles. Further, day-matched resistant HCC-1806 tumors revealed a higher reliance on mitochondrial metabolism and elevated metabolic heterogeneity compared to sensitive HCC-1806 tumors. Together, metabolic flexibility, increased reliance on mitochondrial metabolism, and increased metabolic heterogeneity are defining characteristics of persistent residual disease, features that will inform the appropriate type and timing of therapies.
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Affiliation(s)
| | - Riley J. Deutsch
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | - Pol Castellano-Escuder
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA
- Department of Pharmacology and Cancer Biology, School of Medicine, Duke University, Durham, NC, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC, USA
| | | | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC, USA
| | - Brian T. Crouch
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Megan C. Madonna
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Jeffrey Everitt
- Department of Pathology, School of Medicine, Duke University, Durham, NC, USA
| | - James V. Alvarez
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Matthew D. Hirschey
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA
- Department of Pharmacology and Cancer Biology, School of Medicine, Duke University, Durham, NC, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC, USA
| | - Nirmala Ramanujam
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Department of Radiation Oncology, Duke University, Durham, NC, USA
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3
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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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4
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Tripathi P, Kumari R, Pathak R. Drugging the undruggable: Advances in targeting KRAS signaling in solid tumors. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2024; 385:1-39. [PMID: 38663957 DOI: 10.1016/bs.ircmb.2023.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Cancer remains the leading cause of global mortality, prompting a paradigm shift in its treatment and outcomes with the advent of targeted therapies. Among the most prevalent mutations in RAS-driven cancers, Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations account for approximately 86% of cases worldwide, particularly in lung, pancreatic, and colon cancers, contributing to poor prognosis and reduced overall survival. Despite numerous efforts to understand the biology of KRAS mutants and their pivotal role in cancer development, the lack of well-defined drug-binding pockets has deemed KRAS an "undruggable" therapeutic target, presenting significant challenges for researchers and clinicians alike. Through significant biochemical and technological advances, the last decade has witnessed promising breakthroughs in targeted therapies for KRAS-mutated lung, colon, and pancreatic cancers, marking a critical turning point in the field. In this chapter, we provide an overview of the characteristics of KRAS mutations across various solid tumors, highlighting ongoing cutting-edge research on the immune microenvironment, the development of KRAS-driven mice models, and the recent progress in the exploration of specific KRAS mutant-targeted therapeutic approaches. By comprehensive understanding of the intricacies of KRAS signaling in solid tumors and the latest therapeutic developments, this chapter will shed light on the potential for novel therapeutic strategies to combat KRAS-driven tumors and improve patient outcomes.
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Affiliation(s)
- Prajna Tripathi
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, United States
| | - Rajni Kumari
- Department of Cell Biology, Albert Einstein College of Medicine, New York, NY, United States.
| | - Rajiv Pathak
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, United States.
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5
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Hasanzadeh A, Ebadati A, Dastanpour L, Aref AR, Sahandi Zangabad P, Kalbasi A, Dai X, Mehta G, Ghasemi A, Fatahi Y, Joshi S, Hamblin MR, Karimi M. Applications of Innovation Technologies for Personalized Cancer Medicine: Stem Cells and Gene-Editing Tools. ACS Pharmacol Transl Sci 2023; 6:1758-1779. [PMID: 38093832 PMCID: PMC10714436 DOI: 10.1021/acsptsci.3c00102] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 02/16/2024]
Abstract
Personalized medicine is a new approach toward safer and even cheaper treatments with minimal side effects and toxicity. Planning a therapy based on individual properties causes an effective result in a patient's treatment, especially in a complex disease such as cancer. The benefits of personalized medicine include not only early diagnosis with high accuracy but also a more appropriate and effective therapeutic approach based on the unique clinical, genetic, and epigenetic features and biomarker profiles of a specific patient's disease. In order to achieve personalized cancer therapy, understanding cancer biology plays an important role. One of the crucial applications of personalized medicine that has gained consideration more recently due to its capability in developing disease therapy is related to the field of stem cells. We review various applications of pluripotent, somatic, and cancer stem cells in personalized medicine, including targeted cancer therapy, cancer modeling, diagnostics, and drug screening. CRISPR-Cas gene-editing technology is then discussed as a state-of-the-art biotechnological advance with substantial impacts on medical and therapeutic applications. As part of this section, the role of CRISPR-Cas genome editing in recent cancer studies is reviewed as a further example of personalized medicine application.
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Affiliation(s)
- Akbar Hasanzadeh
- Cellular
and Molecular Research Center, Iran University
of Medical Sciences, Tehran 14535, Iran
- Department
of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 14535, Iran
- Advances
Nanobiotechnology and Nanomedicine Research Group (ANNRG), Iran University of Medical Sciences, Tehran 14535, Iran
| | - Arefeh Ebadati
- Cellular
and Molecular Research Center, Iran University
of Medical Sciences, Tehran 14535, Iran
- Department
of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 14535, Iran
- Advances
Nanobiotechnology and Nanomedicine Research Group (ANNRG), Iran University of Medical Sciences, Tehran 14535, Iran
| | - Lida Dastanpour
- Cellular
and Molecular Research Center, Iran University
of Medical Sciences, Tehran 14535, Iran
- Department
of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 14535, Iran
- Advances
Nanobiotechnology and Nanomedicine Research Group (ANNRG), Iran University of Medical Sciences, Tehran 14535, Iran
| | - Amir R. Aref
- Department
of Medical Oncology and Belfer Center for Applied Cancer Science, Dana Farber Cancer Institute, Boston, Massachusetts 02115, United States
| | - Parham Sahandi Zangabad
- Monash
Institute of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical
Sciences, Monash University, Parkville, Melbourne, Victoria 3052, Australia
| | - Alireza Kalbasi
- Department
of Medical Oncology, Dana-Farber Cancer
Institute, Boston, Massachusetts 02115, United States
| | - Xiaofeng Dai
- School of
Biotechnology, Jiangnan University, Wuxi 214122, China
- National
Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi 214122, China
- Jiangsu Provincial
Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Geeta Mehta
- Department
of Biomedical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Materials Science and Engineering, University
of Michigan, Ann Arbor, Michigan 48109, United States
- Macromolecular
Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Rogel Cancer
Center, University of Michigan, Ann Arbor, Michigan 48109, United States
- Precision
Health, University of Michigan, Ann Arbor, Michigan 48105, United States
| | - Amir Ghasemi
- Department
of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 14535, Iran
- Department
of Materials Science and Engineering, Sharif
University of Technology, Tehran 14588, Iran
| | - Yousef Fatahi
- Nanotechnology
Research Centre, Faculty of Pharmacy, Tehran
University of Medical Sciences, Tehran 14166, Iran
- Department
of Pharmaceutical Nanotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 14166, Iran
- Universal
Scientific Education and Research Network (USERN), Tehran 14166, Iran
| | - Suhasini Joshi
- Chemical
Biology Program, Memorial Sloan Kettering
Cancer Center, New York, New York 10065, United States
| | - Michael R. Hamblin
- Laser Research
Centre, Faculty of Health Science, University
of Johannesburg, Doornfontein 2028, South Africa
- Radiation
Biology Research Center, Iran University
of Medical Sciences, Tehran 14535, Iran
| | - Mahdi Karimi
- Cellular
and Molecular Research Center, Iran University
of Medical Sciences, Tehran 14535, Iran
- Department
of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 14535, Iran
- Oncopathology
Research Center, Iran University of Medical
Sciences, Tehran 14535, Iran
- Research
Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran 14166, Iran
- Applied
Biotechnology Research Centre, Tehran Medical Science, Islamic Azad University, Tehran 14166, Iran
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6
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Xu H, Jia Z, Liu F, Li J, Huang Y, Jiang Y, Pu P, Shang T, Tang P, Zhou Y, Yang Y, Su J, Liu J. Biomarkers and experimental models for cancer immunology investigation. MedComm (Beijing) 2023; 4:e437. [PMID: 38045830 PMCID: PMC10693314 DOI: 10.1002/mco2.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/01/2023] [Accepted: 11/10/2023] [Indexed: 12/05/2023] Open
Abstract
The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD-L1, genetic features such as microsatellite instability, tumor-infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air-liquid interface models, organ-on-a-chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient-derived xenografts provide opportunities to study in vivo tumor-immune interactions. Humanized animal models further enable the simulation of the human-specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting-edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation.
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Affiliation(s)
- Hengyi Xu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ziqi Jia
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengshuo Liu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiayi Li
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yansong Huang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yiwen Jiang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengming Pu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tongxuan Shang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengrui Tang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yongxin Zhou
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yufan Yang
- School of MedicineTsinghua UniversityBeijingChina
| | - Jianzhong Su
- Oujiang LaboratoryZhejiang Lab for Regenerative Medicine, Vision, and Brain HealthWenzhouZhejiangChina
| | - Jiaqi Liu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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7
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Zhang Y, Zeng J, Xu B. Phenotypic analysis with trans-recombination-based genetic mosaic models. J Biol Chem 2023; 299:105265. [PMID: 37734556 PMCID: PMC10587715 DOI: 10.1016/j.jbc.2023.105265] [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: 07/18/2023] [Revised: 09/01/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023] Open
Abstract
Mosaicism refers to the presence of genetically distinct cell populations in an individual derived from a single zygote, which occurs during the process of development, aging, and genetic diseases. To date, a variety of genetically engineered mosaic analysis models have been established and widely used in studying gene function at exceptional cellular and spatiotemporal resolution, leading to many ground-breaking discoveries. Mosaic analysis with a repressible cellular marker and mosaic analysis with double markers are genetic mosaic analysis models based on trans-recombination. These models can generate sibling cells of distinct genotypes in the same animal and simultaneously label them with different colors. As a result, they offer a powerful approach for lineage tracing and studying the behavior of individual mutant cells in a wildtype environment, which is particularly useful for determining whether gene function is cell autonomous or nonautonomous. Here, we present a comprehensive review on the establishment and applications of mosaic analysis with a repressible cellular marker and mosaic analysis with double marker systems. Leveraging the capabilities of these mosaic models for phenotypic analysis will facilitate new discoveries on the cellular and molecular mechanisms of development and disease.
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Affiliation(s)
- Yu Zhang
- School of Life Sciences, Nantong University, Nantong, Jiangsu, China
| | - Jianhao Zeng
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Bing Xu
- School of Life Sciences, Nantong University, Nantong, Jiangsu, China.
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8
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Neault M, Lebert-Ghali CÉ, Fournier M, Capdevielle C, Garfinkle EAR, Obermayer A, Cotton A, Boulay K, Sawchyn C, St-Amand S, Nguyen KH, Assaf B, Mercier FE, Delisle JS, Drobetsky EA, Hulea L, Shaw TI, Zuber J, Gruber TA, Melichar HJ, Mallette FA. CBFA2T3-GLIS2-dependent pediatric acute megakaryoblastic leukemia is driven by GLIS2 and sensitive to navitoclax. Cell Rep 2023; 42:113084. [PMID: 37716355 DOI: 10.1016/j.celrep.2023.113084] [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: 02/09/2023] [Revised: 07/11/2023] [Accepted: 08/18/2023] [Indexed: 09/18/2023] Open
Abstract
Pediatric acute megakaryoblastic leukemia (AMKL) is an aggressive blood cancer associated with poor therapeutic response and high mortality. Here we describe the development of CBFA2T3-GLIS2-driven mouse models of AMKL that recapitulate the phenotypic and transcriptional signatures of the human disease. We show that an activating Ras mutation that occurs in human AMKL increases the penetrance and decreases the latency of CBF2AT3-GLIS2-driven AMKL. CBFA2T3-GLIS2 and GLIS2 modulate similar transcriptional networks. We identify the dominant oncogenic properties of GLIS2 that trigger AMKL in cooperation with oncogenic Ras. We find that both CBFA2T3-GLIS2 and GLIS2 alter the expression of a number of BH3-only proteins, causing AMKL cell sensitivity to the BCL2 inhibitor navitoclax both in vitro and in vivo, suggesting a potential therapeutic option for pediatric patients suffering from CBFA2T3-GLIS2-driven AMKL.
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Affiliation(s)
- Mathieu Neault
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
| | - Charles-Étienne Lebert-Ghali
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
| | - Marilaine Fournier
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada
| | - Caroline Capdevielle
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Elizabeth A R Garfinkle
- Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Alyssa Obermayer
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | | | - Karine Boulay
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Christina Sawchyn
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Sarah St-Amand
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Kamy H Nguyen
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada
| | - Béatrice Assaf
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada
| | | | - Jean-Sébastien Delisle
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Médecine, Université de Montréal, Montréal, QC, Canada
| | - Elliot A Drobetsky
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Médecine, Université de Montréal, Montréal, QC, Canada
| | - Laura Hulea
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada; Département de Médecine, Université de Montréal, Montréal, QC, Canada
| | - Timothy I Shaw
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Johannes Zuber
- Research Institute of Molecular Pathology, Vienna, Austria
| | - Tanja A Gruber
- Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Heather J Melichar
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Médecine, Université de Montréal, Montréal, QC, Canada.
| | - Frédérick A Mallette
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Centre, Montréal, QC, Canada; Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada; Département de Médecine, Université de Montréal, Montréal, QC, Canada.
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9
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Schmidt DR, Gramatikov IMT, Sheen A, Williams CL, Hurwitz M, Dodge LE, Holupka E, Kiger WS, Cornwall-Brady MR, Huang W, Mak HH, Cormier KS, Condon C, Dane Wittrup K, Yilmaz ÖH, Stevenson MA, Down JD, Floyd SR, Roper J, Vander Heiden MG. Ablative radiotherapy improves survival but does not cure autochthonous mouse models of prostate and colorectal cancer. COMMUNICATIONS MEDICINE 2023; 3:108. [PMID: 37558833 PMCID: PMC10412558 DOI: 10.1038/s43856-023-00336-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 07/24/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Genetically engineered mouse models (GEMMs) of cancer are powerful tools to study mechanisms of disease progression and therapy response, yet little is known about how these models respond to multimodality therapy used in patients. Radiation therapy (RT) is frequently used to treat localized cancers with curative intent, delay progression of oligometastases, and palliate symptoms of metastatic disease. METHODS Here we report the development, testing, and validation of a platform to immobilize and target tumors in mice with stereotactic ablative RT (SART). Xenograft and autochthonous tumor models were treated with hypofractionated ablative doses of radiotherapy. RESULTS We demonstrate that hypofractionated regimens used in clinical practice can be effectively delivered in mouse models. SART alters tumor stroma and the immune environment, improves survival in GEMMs of primary prostate and colorectal cancer, and synergizes with androgen deprivation in prostate cancer. Complete pathologic responses were achieved in xenograft models, but not in GEMMs. CONCLUSIONS While SART is capable of fully ablating xenografts, it is unable to completely eradicate disease in GEMMs, arguing that resistance to potentially curative therapy can be modeled in GEMMs.
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Affiliation(s)
- Daniel R Schmidt
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Iva Monique T Gramatikov
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Allison Sheen
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Christopher L Williams
- Harvard Medical School, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, USA
| | - Martina Hurwitz
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Laura E Dodge
- Harvard Medical School, Boston, MA, USA
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward Holupka
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - W S Kiger
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Milton R Cornwall-Brady
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Wei Huang
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Howard H Mak
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kathleen S Cormier
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Charlene Condon
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - K Dane Wittrup
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ömer H Yilmaz
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, USA
| | - Mary Ann Stevenson
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Julian D Down
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Scott R Floyd
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA
| | - Jatin Roper
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Medicine, Division of Gastroenterology, and Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Matthew G Vander Heiden
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Dana-Farber Cancer Institute, Boston, MA, USA.
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10
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Proietto M, Crippa M, Damiani C, Pasquale V, Sacco E, Vanoni M, Gilardi M. Tumor heterogeneity: preclinical models, emerging technologies, and future applications. Front Oncol 2023; 13:1164535. [PMID: 37188201 PMCID: PMC10175698 DOI: 10.3389/fonc.2023.1164535] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Heterogeneity describes the differences among cancer cells within and between tumors. It refers to cancer cells describing variations in morphology, transcriptional profiles, metabolism, and metastatic potential. More recently, the field has included the characterization of the tumor immune microenvironment and the depiction of the dynamics underlying the cellular interactions promoting the tumor ecosystem evolution. Heterogeneity has been found in most tumors representing one of the most challenging behaviors in cancer ecosystems. As one of the critical factors impairing the long-term efficacy of solid tumor therapy, heterogeneity leads to tumor resistance, more aggressive metastasizing, and recurrence. We review the role of the main models and the emerging single-cell and spatial genomic technologies in our understanding of tumor heterogeneity, its contribution to lethal cancer outcomes, and the physiological challenges to consider in designing cancer therapies. We highlight how tumor cells dynamically evolve because of the interactions within the tumor immune microenvironment and how to leverage this to unleash immune recognition through immunotherapy. A multidisciplinary approach grounded in novel bioinformatic and computational tools will allow reaching the integrated, multilayered knowledge of tumor heterogeneity required to implement personalized, more efficient therapies urgently required for cancer patients.
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Affiliation(s)
- Marco Proietto
- Next Generation Sequencing Core, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, United States
- NOMIS Center for Immunobiology and Microbial Pathogenesis, The Salk Institute for Biological Studies, La Jolla, CA, United States
| | - Martina Crippa
- Vita-Salute San Raffaele University, Milan, Italy
- Experimental Imaging Center, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Chiara Damiani
- Infrastructure Systems Biology Europe /Centre of Systems Biology (ISBE/SYSBIO) Centre of Systems Biology, Milan, Italy
- Department of Biotechnology and Biosciences, School of Sciences, University of Milano-Bicocca, Milan, Italy
| | - Valentina Pasquale
- Infrastructure Systems Biology Europe /Centre of Systems Biology (ISBE/SYSBIO) Centre of Systems Biology, Milan, Italy
- Department of Biotechnology and Biosciences, School of Sciences, University of Milano-Bicocca, Milan, Italy
| | - Elena Sacco
- Infrastructure Systems Biology Europe /Centre of Systems Biology (ISBE/SYSBIO) Centre of Systems Biology, Milan, Italy
- Department of Biotechnology and Biosciences, School of Sciences, University of Milano-Bicocca, Milan, Italy
| | - Marco Vanoni
- Infrastructure Systems Biology Europe /Centre of Systems Biology (ISBE/SYSBIO) Centre of Systems Biology, Milan, Italy
- Department of Biotechnology and Biosciences, School of Sciences, University of Milano-Bicocca, Milan, Italy
- *Correspondence: Marco Vanoni, ; Mara Gilardi,
| | - Mara Gilardi
- NOMIS Center for Immunobiology and Microbial Pathogenesis, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Salk Cancer Center, The Salk Institute for Biological Studies, La Jolla, CA, United States
- *Correspondence: Marco Vanoni, ; Mara Gilardi,
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11
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Mitochondrial genes as strong molecular markers for species identification. THE NUCLEUS 2022. [DOI: 10.1007/s13237-022-00393-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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12
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Genta S, Coburn B, Cescon DW, Spreafico A. Patient-derived cancer models: Valuable platforms for anticancer drug testing. Front Oncol 2022; 12:976065. [PMID: 36033445 PMCID: PMC9413077 DOI: 10.3389/fonc.2022.976065] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
Molecularly targeted treatments and immunotherapy are cornerstones in oncology, with demonstrated efficacy across different tumor types. Nevertheless, the overwhelming majority metastatic disease is incurable due to the onset of drug resistance. Preclinical models including genetically engineered mouse models, patient-derived xenografts and two- and three-dimensional cell cultures have emerged as a useful resource to study mechanisms of cancer progression and predict efficacy of anticancer drugs. However, variables including tumor heterogeneity and the complexities of the microenvironment can impair the faithfulness of these platforms. Here, we will discuss advantages and limitations of these preclinical models, their applicability for drug testing and in co-clinical trials and potential strategies to increase their reliability in predicting responsiveness to anticancer medications.
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Affiliation(s)
- Sofia Genta
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Bryan Coburn
- Division of Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - David W. Cescon
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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13
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Dozzo A, Galvin A, Shin JW, Scalia S, O'Driscoll CM, Ryan KB. Modelling acute myeloid leukemia (AML): What's new? A transition from the classical to the modern. Drug Deliv Transl Res 2022:10.1007/s13346-022-01189-4. [PMID: 35930221 DOI: 10.1007/s13346-022-01189-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 11/24/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous malignancy affecting myeloid cells in the bone marrow (BM) but can spread giving rise to impaired hematopoiesis. AML incidence increases with age and is associated with poor prognostic outcomes. There has been a disconnect between the success of novel drug compounds observed in preclinical studies of hematological malignancy and less than exceptional therapeutic responses in clinical trials. This review aims to provide a state-of-the-art overview on the different preclinical models of AML available to expand insights into disease pathology and as preclinical screening tools. Deciphering the complex physiological and pathological processes and developing predictive preclinical models are key to understanding disease progression and fundamental in the development and testing of new effective drug treatments. Standard scaffold-free suspension models fail to recapitulate the complex environment where AML occurs. To this end, we review advances in scaffold/matrix-based 3D models and outline the most recent advances in on-chip technology. We also provide an overview of clinically relevant animal models and review the expanding use of patient-derived samples, which offer the prospect to create more "patient specific" screening tools either in the guise of 3D matrix models, microphysiological "organ-on-chip" tools or xenograft models and discuss representative examples.
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Affiliation(s)
| | - Aoife Galvin
- School of Pharmacy, University College Cork, Cork, Ireland
| | - Jae-Won Shin
- Department of Pharmacology and Regenerative Medicine, University of Illinois at Chicago College of Medicine, 909 S. Wolcott Ave, Chicago, IL, 5091 COMRB, USA
| | - Santo Scalia
- Università degli Studi di Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy
| | - Caitriona M O'Driscoll
- School of Pharmacy, University College Cork, Cork, Ireland.,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland
| | - Katie B Ryan
- School of Pharmacy, University College Cork, Cork, Ireland. .,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland.
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14
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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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15
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Ford MJ, Yamanaka Y. Reprogramming Mouse Oviduct Epithelial Cells Using In Vivo Electroporation and CRISPR/Cas9-Mediated Genetic Manipulation. Methods Mol Biol 2022; 2429:367-377. [PMID: 35507174 DOI: 10.1007/978-1-0716-1979-7_24] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Advances in gene editing tools such as CRISPR/Cas9 have made precise in vivo gene editing possible, opening up avenues of research into somatic cell reprograming to study adult stem cells, homeostasis, and malignant transformation. Here we describe a method for CRISPR/Cas9 mediated in vivo gene editing, in combination with Cre-based lineage tracing via electroporation in the mouse oviduct. This method facilitates the delivery of multiple plasmids into oviduct epithelial cells, sufficient for studying homeostasis and generation of high-grade serous ovarian cancer (HGSOC) models.
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Affiliation(s)
- Matthew J Ford
- Department of Human Genetics, Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Yojiro Yamanaka
- Department of Human Genetics, Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada.
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16
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Mojtahedi H, Yazdanpanah N, Rezaei N. Chronic myeloid leukemia stem cells: targeting therapeutic implications. Stem Cell Res Ther 2021; 12:603. [PMID: 34922630 PMCID: PMC8684082 DOI: 10.1186/s13287-021-02659-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/06/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic myeloid leukemia (CML) is a clonal myeloproliferative neoplasm driven by BCR-ABL1 oncoprotein, which plays a pivotal role in CML pathology, diagnosis, and treatment as confirmed by the success of tyrosine kinase inhibitor (TKI) therapy. Despite advances in the development of more potent tyrosine kinase inhibitors, some mechanisms particularly in terms of CML leukemic stem cell (CML LSC) lead to intrinsic or acquired therapy resistance, relapse, and disease progression. In fact, the maintenance CML LSCs in patients who are resistance to TKI therapy indicates the role of CML LSCs in resistance to therapy through survival mechanisms that are not completely dependent on BCR-ABL activity. Targeting therapeutic approaches aim to eradicate CML LSCs through characterization and targeting genetic alteration and molecular pathways involving in CML LSC survival in a favorable leukemic microenvironment and resistance to apoptosis, with the hope of providing a functional cure. In other words, it is possible to develop the combination therapy of TKs with drugs targeting genes or molecules more specifically, which is required for survival mechanisms of CML LSCs, while sparing normal HSCs for clinical benefits along with TKIs.
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Affiliation(s)
- Hanieh Mojtahedi
- Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Niloufar Yazdanpanah
- Research Center for Immunodeficiencies, Children's Medical Center Hospital, Tehran University of Medical Sciences, Dr. Qarib St, Keshavarz Blvd, 14194, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center Hospital, Tehran University of Medical Sciences, Dr. Qarib St, Keshavarz Blvd, 14194, Tehran, Iran.
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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17
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Liu Y, Gu Z, Cao H, Kaphle P, Lyu J, Zhang Y, Hu W, Chung SS, Dickerson KE, Xu J. Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation. Nat Commun 2021; 12:6323. [PMID: 34732703 PMCID: PMC8566485 DOI: 10.1038/s41467-021-26582-4] [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: 08/18/2020] [Accepted: 10/13/2021] [Indexed: 12/17/2022] Open
Abstract
Cancers develop from the accumulation of somatic mutations, yet it remains unclear how oncogenic lesions cooperate to drive cancer progression. Using a mouse model harboring NRasG12D and EZH2 mutations that recapitulates leukemic progression, we employ single-cell transcriptomic profiling to map cellular composition and gene expression alterations in healthy or diseased bone marrows during leukemogenesis. At cellular level, NRasG12D induces myeloid lineage-biased differentiation and EZH2-deficiency impairs myeloid cell maturation, whereas they cooperate to promote myeloid neoplasms with dysregulated transcriptional programs. At gene level, NRasG12D and EZH2-deficiency independently and synergistically deregulate gene expression. We integrate results from histopathology, leukemia repopulation, and leukemia-initiating cell assays to validate transcriptome-based cellular profiles. We use this resource to relate developmental hierarchies to leukemia phenotypes, evaluate oncogenic cooperation at single-cell and single-gene levels, and identify GEM as a regulator of leukemia-initiating cells. Our studies establish an integrative approach to deconvolute cancer evolution at single-cell resolution in vivo.
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Affiliation(s)
- Yuxuan Liu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Zhimin Gu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Hui Cao
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Pranita Kaphle
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Junhua Lyu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Yuannyu Zhang
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Wenhuo Hu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Stephen S Chung
- Division of Hematology Oncology, Department of Internal Medicine, and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Kathryn E Dickerson
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Jian Xu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
- Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, and Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
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18
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Musella M, Galassi C, Manduca N, Sistigu A. The Yin and Yang of Type I IFNs in Cancer Promotion and Immune Activation. BIOLOGY 2021; 10:856. [PMID: 34571733 PMCID: PMC8467547 DOI: 10.3390/biology10090856] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 12/22/2022]
Abstract
Type I Interferons (IFNs) are key regulators of natural and therapy-induced host defense against viral infection and cancer. Several years of remarkable progress in the field of oncoimmunology have revealed the dual nature of these cytokines. Hence, Type I IFNs may trigger anti-tumoral responses, while leading immune dysfunction and disease progression. This dichotomy relies on the duration and intensity of the transduced signaling, the nature of the unleashed IFN stimulated genes, and the subset of responding cells. Here, we discuss the role of Type I IFNs in the evolving relationship between the host immune system and cancer, as we offer a view of the therapeutic strategies that exploit and require an intact Type I IFN signaling, and the role of these cytokines in inducing adaptive resistance. A deep understanding of the complex, yet highly regulated, network of Type I IFN triggered molecular pathways will help find a timely and immune"logical" way to exploit these cytokines for anticancer therapy.
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Affiliation(s)
- Martina Musella
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.G.); (N.M.)
| | - Claudia Galassi
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.G.); (N.M.)
| | - Nicoletta Manduca
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.G.); (N.M.)
| | - Antonella Sistigu
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.G.); (N.M.)
- Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
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19
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Giacobbe A, Abate-Shen C. Modeling metastasis in mice: a closer look. Trends Cancer 2021; 7:916-929. [PMID: 34303648 DOI: 10.1016/j.trecan.2021.06.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/27/2021] [Accepted: 06/29/2021] [Indexed: 02/07/2023]
Abstract
Unraveling the multifaceted cellular and physiological processes associated with metastasis is best achieved by using in vivo models that recapitulate the requisite tumor cell-intrinsic and -extrinsic mechanisms at the organismal level. We discuss the current status of mouse models of metastasis. We consider how mouse models can refine our understanding of the underlying biological and molecular processes that promote metastasis, and we envisage how the application of new technologies will further enhance investigations of metastasis at single-cell resolution in the context of the whole organism. Our view is that investigations based on state-of-the-art mouse models can propel a holistic understanding of the biology of metastasis, which will ultimately lead to the discovery of new therapeutic opportunities.
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Affiliation(s)
- Arianna Giacobbe
- Department of Molecular Pharmacology and Therapeutics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Cory Abate-Shen
- Department of Molecular Pharmacology and Therapeutics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Urology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Avenue, New York, NY10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Avenue, New York, NY 10032, USA.
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20
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Sun G, Li Z, Rong D, Zhang H, Shi X, Yang W, Zheng W, Sun G, Wu F, Cao H, Tang W, Sun Y. Single-cell RNA sequencing in cancer: Applications, advances, and emerging challenges. Mol Ther Oncolytics 2021; 21:183-206. [PMID: 34027052 PMCID: PMC8131398 DOI: 10.1016/j.omto.2021.04.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Cancer has become one of the greatest threats to human health, and new technologies are urgently needed to further clarify the mechanisms of cancer so that better detection and treatment strategies can be developed. At present, extensive genomic analysis and testing of clinical specimens shape the insights into carcinoma. Nevertheless, carcinoma of humans is a complex ecosystem of cells, including carcinoma cells and immunity-related and stroma-related subsets, with accurate characteristics obscured by extensive genome-related approaches. A growing body of research shows that sequencing of single-cell RNA (scRNA-seq) is emerging to be an effective way for dissecting human tumor tissue at single-cell resolution, presenting one prominent way for explaining carcinoma biology. This review summarizes the research progress of scRNA-seq in the field of tumors, focusing on the application of scRNA-seq in tumor circulating cells, tumor stem cells, tumor drug resistance, the tumor microenvironment, and so on, which provides a new perspective for tumor research.
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Affiliation(s)
- Guangshun Sun
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhouxiao Li
- Department of Hand Surgery, Plastic Surgery and Aesthetic Surgery, Ludwig Maximilians University, Munich, Germany
| | - Dawei Rong
- Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China
| | - Hao Zhang
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Orthopedic Oncology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Xuesong Shi
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Weijun Yang
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wubin Zheng
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Guoqiang Sun
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fan Wu
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongyong Cao
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Weiwei Tang
- Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China
| | - Yangbai Sun
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
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21
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Preclinical models and technologies to advance nanovaccine development. Adv Drug Deliv Rev 2021; 172:148-182. [PMID: 33711401 DOI: 10.1016/j.addr.2021.03.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/26/2021] [Accepted: 03/01/2021] [Indexed: 12/13/2022]
Abstract
The remarkable success of targeted immunotherapies is revolutionizing cancer treatment. However, tumor heterogeneity and low immunogenicity, in addition to several tumor-associated immunosuppression mechanisms are among the major factors that have precluded the success of cancer vaccines as targeted cancer immunotherapies. The exciting outcomes obtained in patients upon the injection of tumor-specific antigens and adjuvants intratumorally, reinvigorated interest in the use of nanotechnology to foster the delivery of vaccines to address cancer unmet needs. Thus, bridging nano-based vaccine platform development and predicted clinical outcomes the selection of the proper preclinical model will be fundamental. Preclinical models have revealed promising outcomes for cancer vaccines. However, only few cases were associated with clinical responses. This review addresses the major challenges related to the translation of cancer nano-based vaccines to the clinic, discussing the requirements for ex vivo and in vivo models of cancer to ensure the translation of preclinical success to patients.
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22
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Yamazaki T, Bravo-San Pedro JM, Galluzzi L, Kroemer G, Pietrocola F. Autophagy in the cancer-immunity dialogue. Adv Drug Deliv Rev 2021; 169:40-50. [PMID: 33301821 DOI: 10.1016/j.addr.2020.12.003] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/24/2020] [Accepted: 12/04/2020] [Indexed: 02/08/2023]
Abstract
Autophagy is quintessential for the maintenance of cellular homeostasis in all eukaryotic cells, explaining why both normal and malignant cells benefit from proficient autophagic responses. Moreover, autophagy is intimately involved in the immunological control of malignant transformation, tumor progression and response to therapy. However, the net effect of autophagy activation or inhibition on the natural growth or therapeutic response of tumors evolving in immunocompetent hosts exhibits a considerable degree of context dependency. Here, we discuss the complex cross-talk between autophagy and immuno-oncology as delineated by genetic and pharmacological approaches in mouse models of cancer.
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23
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Baschnagel AM, Kaushik S, Durmaz A, Goldstein S, Ong IM, Abel L, Clark PA, Gurel Z, Leal T, Buehler D, Iyer G, Scott JG, Kimple RJ. Development and characterization of patient-derived xenografts from non-small cell lung cancer brain metastases. Sci Rep 2021; 11:2520. [PMID: 33510214 PMCID: PMC7843608 DOI: 10.1038/s41598-021-81832-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/12/2021] [Indexed: 01/08/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) brain metastasis cell lines and in vivo models are not widely accessible. Herein we report on a direct-from patient-derived xenograft (PDX) model system of NSCLC brain metastases with genomic annotation useful for translational and mechanistic studies. Both heterotopic and orthotopic intracranial xenografts were established and RNA and DNA sequencing was performed on patient and matching tumors. Morphologically, strong retention of cytoarchitectural features was observed between original patient tumors and PDXs. Transcriptome and mutation analysis revealed high correlation between matched patient and PDX samples with more than more than 95% of variants detected being retained in the matched PDXs. PDXs demonstrated response to radiation, response to selumetinib in tumors harboring KRAS G12C mutations and response to savolitinib in a tumor with MET exon 14 skipping mutation. Savolitinib also demonstrated in vivo radiation enhancement in our MET exon 14 mutated PDX. Early passage cell strains showed high consistency between patient and PDX tumors. Together, these data describe a robust human xenograft model system for investigating NSCLC brain metastases. These PDXs and cell lines show strong phenotypic and molecular correlation with the original patient tumors and provide a valuable resource for testing preclinical therapeutics.
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Affiliation(s)
- Andrew M Baschnagel
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA.
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
| | - Saakshi Kaushik
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA
| | - Arda Durmaz
- Case Western Reserve University, Cleveland, OH, 44195, USA
| | - Steve Goldstein
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Irene M Ong
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Lindsey Abel
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA
| | - Paul A Clark
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA
| | - Zafer Gurel
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA
| | - Ticiana Leal
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Division of Hematology/Oncology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Darya Buehler
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Gopal Iyer
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Jacob G Scott
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, 10201 Carnegie Ave, Cleveland, OH, 44195, USA
| | - Randall J Kimple
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Avenue, K4/B100-0600, Madison, WI, 53792, USA.
- University of Wisconsin Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
- , 3107 WIMR, 1111 Highland Ave., Madison, WI, 53705, USA.
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Gerhard GM, Bill R, Messemaker M, Klein AM, Pittet MJ. Tumor-infiltrating dendritic cell states are conserved across solid human cancers. J Exp Med 2021; 218:e20200264. [PMID: 33601412 PMCID: PMC7754678 DOI: 10.1084/jem.20200264] [Citation(s) in RCA: 109] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 07/23/2020] [Accepted: 10/12/2020] [Indexed: 12/11/2022] Open
Abstract
Dendritic cells (DCs) contribute a small fraction of the tumor microenvironment but are emerging as an essential antitumor component based on their ability to foster T cell immunity and immunotherapy responses. Here, we discuss our expanding view of DC heterogeneity in human tumors, as revealed with meta-analysis of single-cell transcriptome profiling studies. We further examine tumor-infiltrating DC states that are conserved across patients, cancer types, and species and consider the fundamental and clinical relevance of these findings. Finally, we provide an outlook on research opportunities to further explore mechanisms governing tumor-infiltrating DC behavior and functions.
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Affiliation(s)
- Genevieve M. Gerhard
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Ruben Bill
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Marius Messemaker
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Allon M. Klein
- Department of Systems Biology, Harvard Medical School, Boston, MA
| | - Mikael J. Pittet
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
- Department of Oncology, Geneva University Hospitals, Geneva, Switzerland
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25
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Potts MA, McDonald JA, Sutherland KD, Herold MJ. Critical cancer vulnerabilities identified by unbiased CRISPR/Cas9 screens inform on efficient cancer Immunotherapy. Eur J Immunol 2020; 50:1871-1884. [PMID: 33202035 DOI: 10.1002/eji.202048712] [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] [Received: 08/18/2020] [Revised: 10/21/2020] [Accepted: 11/12/2020] [Indexed: 12/19/2022]
Abstract
The mutational landscape of human cancers is highly complex. While next generation sequencing aims to comprehensively catalogue somatic alterations in tumor cells, it fails to delineate driver from passenger mutations. Functional genomic approaches, particularly CRISPR/Cas9, enable both gene discovery, and annotation of gene function. Indeed, recent CRISPR/Cas9 technologies have flourished with the development of more sophisticated and versatile platforms capable of gene knockouts to high throughput genome wide editing of a single nucleotide base. With new platforms constantly emerging, it can be challenging to navigate what CRISPR tools are available and how they can be effectively applied to understand cancer biology. This review provides an overview of current and emerging CRISPR technologies and their power to model cancer and identify novel treatments. Specifically, how CRISPR screening approaches have been exploited to enhance immunotherapies through the identification of tumor intrinsic and extrinsic mechanisms to escape immune recognition will be discussed.
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Affiliation(s)
- Margaret A Potts
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Jackson A McDonald
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Kate D Sutherland
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Marco J Herold
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
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26
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Natural and Synthetic Biomaterials for Engineering Multicellular Tumor Spheroids. Polymers (Basel) 2020; 12:polym12112506. [PMID: 33126468 PMCID: PMC7692845 DOI: 10.3390/polym12112506] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/23/2020] [Accepted: 10/26/2020] [Indexed: 02/06/2023] Open
Abstract
The lack of in vitro models that represent the native tumor microenvironment is a significant challenge for cancer research. Two-dimensional (2D) monolayer culture has long been the standard for in vitro cell-based studies. However, differences between 2D culture and the in vivo environment have led to poor translation of cancer research from in vitro to in vivo models, slowing the progress of the field. Recent advances in three-dimensional (3D) culture have improved the ability of in vitro culture to replicate in vivo conditions. Although 3D cultures still cannot achieve the complexity of the in vivo environment, they can still better replicate the cell-cell and cell-matrix interactions of solid tumors. Multicellular tumor spheroids (MCTS) are three-dimensional (3D) clusters of cells with tumor-like features such as oxygen gradients and drug resistance, and represent an important translational tool for cancer research. Accordingly, natural and synthetic polymers, including collagen, hyaluronic acid, Matrigel®, polyethylene glycol (PEG), alginate and chitosan, have been used to form and study MCTS for improved clinical translatability. This review evaluates the current state of biomaterial-based MCTS formation, including advantages and disadvantages of the different biomaterials and their recent applications to the field of cancer research, with a focus on the past five years.
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27
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Sanchis P, Fernández-Gayol O, Comes G, Aguilar K, Escrig A, Giralt M, Palmiter RD, Hidalgo J. A new mouse model to study restoration of interleukin-6 (IL-6) expression in a Cre-dependent manner: microglial IL-6 regulation of experimental autoimmune encephalomyelitis. J Neuroinflammation 2020; 17:304. [PMID: 33059703 PMCID: PMC7565836 DOI: 10.1186/s12974-020-01969-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 09/28/2020] [Indexed: 01/12/2023] Open
Abstract
Background Interleukin-6 (IL-6) is a pleiotropic cytokine that controls numerous physiological processes both in basal and neuroinflammatory conditions, including the inflammatory response to experimental autoimmune encephalomyelitis (EAE). IL-6 is produced by multiple peripheral and central cells, and until now, the putative roles of IL-6 from different cell types have been evaluated through conditional cell-specific IL-6 knockout mice. Nevertheless, these mice probably undergo compensatory responses of IL-6 from other cells, which makes it difficult to assess the role of each source of IL-6. Methods To give some insight into this problem, we have produced a novel mouse model: a conditional reversible IL-6 KO mouse (IL6-DIO-KO). By using double-inverted, open-reading-frame (DIO) technology, we created a mouse line with the loss of Il6 expression in all cells that can be restored by the action of Cre recombinase. Since microglia are one of the most important sources and targets of IL-6 into the central nervous system, we have recovered microglial Il6 expression in IL6-DIO-KO mice through breeding to Cx3cr1-CreER mice and subsequent injection of tamoxifen (TAM) when mice were 10–16 weeks old. Then, they were immunized with myelin oligodendrocyte glycoprotein 35-55 peptide (MOG35-55) 7 weeks after TAM treatment to induce EAE. Clinical symptoms and demyelination, CD3 infiltration, and gliosis in the spinal cord were evaluated. Results IL6-DIO-KO mice were resistant to EAE, validating the new model. Restoration of microglial Il6 was sufficient to develop a mild version of EAE-related clinical symptoms and neuropathology. Conclusions IL6-DIO-KO mouse is an excellent model to understand in detail the role of specific cellular sources of IL-6 within a recovery-of-function paradigm in EAE.
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Affiliation(s)
- Paula Sanchis
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Olaya Fernández-Gayol
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain.,Current affiliation: Department of Pediatrics, Division of Molecular Genetics, Columbia University Irving Medical Center, New York, 10032, USA
| | - Gemma Comes
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Kevin Aguilar
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Anna Escrig
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Mercedes Giralt
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Richard D Palmiter
- Department of Biochemistry, Genome Sciences, and Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA
| | - Juan Hidalgo
- Institute of Neurosciences and Department of Cellular Biology, Physiology and Immunology, Animal Physiology Unit, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain.
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28
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Lundin A, Porritt MJ, Jaiswal H, Seeliger F, Johansson C, Bidar AW, Badertscher L, Wimberger S, Davies EJ, Hardaker E, Martins CP, James E, Admyre T, Taheri-Ghahfarokhi A, Bradley J, Schantz A, Alaeimahabadi B, Clausen M, Xu X, Mayr LM, Nitsch R, Bohlooly-Y M, Barry ST, Maresca M. Development of an ObLiGaRe Doxycycline Inducible Cas9 system for pre-clinical cancer drug discovery. Nat Commun 2020; 11:4903. [PMID: 32994412 PMCID: PMC7525522 DOI: 10.1038/s41467-020-18548-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 08/26/2020] [Indexed: 12/28/2022] Open
Abstract
The CRISPR-Cas9 system has increased the speed and precision of genetic editing in cells and animals. However, model generation for drug development is still expensive and time-consuming, demanding more target flexibility and faster turnaround times with high reproducibility. The generation of a tightly controlled ObLiGaRe doxycycline inducible SpCas9 (ODInCas9) transgene and its use in targeted ObLiGaRe results in functional integration into both human and mouse cells culminating in the generation of the ODInCas9 mouse. Genomic editing can be performed in cells of various tissue origins without any detectable gene editing in the absence of doxycycline. Somatic in vivo editing can model non-small cell lung cancer (NSCLC) adenocarcinomas, enabling treatment studies to validate the efficacy of candidate drugs. The ODInCas9 mouse allows robust and tunable genome editing granting flexibility, speed and uniformity at less cost, leading to high throughput and practical preclinical in vivo therapeutic testing.
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Affiliation(s)
- Anders Lundin
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Michelle J Porritt
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Himjyot Jaiswal
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
- Cellink AB, Gothenburg, Sweden
| | - Frank Seeliger
- Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Camilla Johansson
- Clinical Pharmacology and Safety Sciences, Sweden Imaging Hub, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Abdel Wahad Bidar
- Clinical Pharmacology and Safety Sciences, Sweden Imaging Hub, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Lukas Badertscher
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Sandra Wimberger
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Emma J Davies
- Early Oncology TDE, Oncology R&D, AstraZeneca, Li KaShing Centre, Cambridge, UK
- Healx, Cambridge, UK
| | - Elizabeth Hardaker
- Early Oncology TDE, Oncology R&D, AstraZeneca, Li KaShing Centre, Cambridge, UK
| | - Carla P Martins
- Early Oncology TDE, Oncology R&D, AstraZeneca, Li KaShing Centre, Cambridge, UK
| | - Emily James
- Early Oncology TDE, Oncology R&D, AstraZeneca, Li KaShing Centre, Cambridge, UK
| | - Therese Admyre
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Amir Taheri-Ghahfarokhi
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Jenna Bradley
- Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge Science Park, Cambridge, UK
| | - Anna Schantz
- Pharmaceutical Sciences, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Babak Alaeimahabadi
- Data Sciences and Quantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Maryam Clausen
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Xiufeng Xu
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Lorenz M Mayr
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Roberto Nitsch
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Mohammad Bohlooly-Y
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Simon T Barry
- Early Oncology TDE, Oncology R&D, AstraZeneca, Li KaShing Centre, Cambridge, UK
| | - Marcello Maresca
- Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
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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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30
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Thorkelsson A, Merlino G, Michael H. Build-a-Mouse: Melanoma Modeling Picks up Speed. Cancer Res 2020; 80:655-656. [PMID: 32060226 DOI: 10.1158/0008-5472.can-19-3869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 12/11/2019] [Indexed: 11/16/2022]
Abstract
The study by Bok and colleagues in this issue introduces a new paradigm for generating new mouse models for melanoma research. Genetically engineered mouse models (GEMM) have been crucial for understanding tumor initiation and modeling potential therapies, but are time consuming to create. Bok and colleagues generated and validated high-contribution chimeric GEMM models using common melanoma GEMMs as a starting point and added additional CRISPR, Cre-inducible, and Dox-inducible alleles. This rapid method for generating new models has the potential to revolutionize mouse modeling for melanoma.See related article by Bok et al., p. 912.
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Affiliation(s)
- Andres Thorkelsson
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Glenn Merlino
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Helen Michael
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, NCI, Bethesda, Maryland.
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31
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Castel P, Rauen KA, McCormick F. The duality of human oncoproteins: drivers of cancer and congenital disorders. Nat Rev Cancer 2020; 20:383-397. [PMID: 32341551 PMCID: PMC7787056 DOI: 10.1038/s41568-020-0256-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/20/2020] [Indexed: 01/29/2023]
Abstract
Human oncoproteins promote transformation of cells into tumours by dysregulating the signalling pathways that are involved in cell growth, proliferation and death. Although oncoproteins were discovered many years ago and have been widely studied in the context of cancer, the recent use of high-throughput sequencing techniques has led to the identification of cancer-associated mutations in other conditions, including many congenital disorders. These syndromes offer an opportunity to study oncoprotein signalling and its biology in the absence of additional driver or passenger mutations, as a result of their monogenic nature. Moreover, their expression in multiple tissue lineages provides insight into the biology of the proto-oncoprotein at the physiological level, in both transformed and unaffected tissues. Given the recent paradigm shift in regard to how oncoproteins promote transformation, we review the fundamentals of genetics, signalling and pathogenesis underlying oncoprotein duality.
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Affiliation(s)
- Pau Castel
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
| | - Katherine A Rauen
- MIND Institute, Department of Pediatrics, University of California, Davis, Sacramento, CA, USA
| | - Frank McCormick
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
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32
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Chulpanova DS, Kitaeva KV, Rutland CS, Rizvanov AA, Solovyeva VV. Mouse Tumor Models for Advanced Cancer Immunotherapy. Int J Mol Sci 2020; 21:E4118. [PMID: 32526987 PMCID: PMC7312663 DOI: 10.3390/ijms21114118] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/04/2020] [Accepted: 06/06/2020] [Indexed: 12/21/2022] Open
Abstract
Recent advances in the development of new methods of cancer immunotherapy require the production of complex cancer animal models that reliably reflect the complexity of the tumor and its microenvironment. Mice are good animals to create tumor models because they are low cost, have a short reproductive cycle, exhibit high tumor growth rates, and can be easily genetically modified. However, the obvious problem of these models is the high failure rate observed in human clinical trials after promising results obtained in mouse models. In order to increase the reliability of the results obtained in mice, the tumor model should reflect the heterogeneity of the tumor, contain components of the tumor microenvironment, in particular immune cells, to which the action of immunotherapeutic drugs are directed. This review discusses the current immunocompetent and immunocompromised mouse models of human tumors that are used to evaluate the effectiveness of immunotherapeutic agents, in particular chimeric antigen receptor (CAR) T-cells and immune checkpoint inhibitors.
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Affiliation(s)
- Daria S. Chulpanova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (D.S.C.); (K.V.K.); (A.A.R.)
| | - Kristina V. Kitaeva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (D.S.C.); (K.V.K.); (A.A.R.)
| | - Catrin S. Rutland
- Faculty of Medicine and Health Sciences, University of Medicine, Nottingham NG7 2HA, UK;
| | - Albert A. Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (D.S.C.); (K.V.K.); (A.A.R.)
| | - Valeriya V. Solovyeva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (D.S.C.); (K.V.K.); (A.A.R.)
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33
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Mouse models to study genes involved in hematological malignancies. BLOOD SCIENCE 2020; 2:50-53. [PMID: 35402815 PMCID: PMC8975018 DOI: 10.1097/bs9.0000000000000044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 03/17/2020] [Indexed: 11/25/2022] Open
Abstract
Hematological malignancies, including leukemia and lymphoma, consist a group of highly heterogeneous neoplasms characterized by numerous genetic lesions specific for the type of the disease. In order to understand, the role of a particular alteration in the development of a malignancy functional studies have to be carried out in vitro, in cell lines derived from primary cancer cells. Further efforts to understand the mechanisms underlying blood disorders including malignant transformation and progression relies on model organism research. Numerous transgenic mouse models, carrying human oncogenes have been generated resembling distinct types of hematological disorders. Recent technological advances revolutionized the generation of animal models making it much easier, faster, and precise. The introduction of the CRISPR-Cas9 technology allows for rapid generation of novel knockout or transgenic animals, and the development of conditional site- and time-specific Cre-Lox gene targeting technology, allows studying the function of genes which are relevant to normal hematopoiesis and development of hematological malignancies, but lethal when knocked out in embryonic cells. Besides the studies on gene function, mouse models of human leukemia allow for discovery and testing of novel antileukemic drugs. These new technologies are deepening our understanding of disease pathophysiology and treatment resistance, as well as are leading to novel therapeutic strategies for improved outcomes in patients.
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Stewart J, Banerjee S, Pettitt SJ, Lord CJ. Modelling the Cancer Phenotype in the Era of CRISPR-Cas9 Gene Editing. Clin Oncol (R Coll Radiol) 2020; 32:69-74. [PMID: 31679912 DOI: 10.1016/j.clon.2019.09.057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 09/11/2019] [Indexed: 02/08/2023]
Affiliation(s)
- J Stewart
- Gynaecology Unit, Royal Marsden NHS Foundation Trust, London, UK; CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - S Banerjee
- Gynaecology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - S J Pettitt
- CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK.
| | - C J Lord
- CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK.
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35
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Differences between KC and KPC pancreatic ductal adenocarcinoma mice models, in terms of their modeling biology and their clinical relevance. Pancreatology 2020; 20:79-88. [PMID: 31780287 DOI: 10.1016/j.pan.2019.11.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/15/2019] [Accepted: 11/18/2019] [Indexed: 12/24/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is among the dangerous human cancers, is the 10th highly prevalent cancer, and the fourth sole cause of cancer-related mortality in the United States of America. Notwithstanding the significant commitment, the forecast for people with this burden continues to have a five-year survival rate of just 4-6%. The most critical altered genes within PDAC consist of K-ras the proto-oncogene which is usually mutationally activated above 90% cases and tumor suppressors likeTrp53 are altered at 55%. To face the burden of pancreatic ductal adenocarcinoma, a variety of genetically engineered pancreatic cancer mice models have been created over the last past years. These models have distinctive features and are not all appropriate for preclinical studies. In this review, we focus on differences between two mice models K-rasLSL.G12D/+;Pdx-1-Cre(KC) and K-rasLSL.G12D/+; Trp53R172H/+; Pdx-1-Cre(KPC) in terms of their modeling biology and their clinical relevance.
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36
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Mendes N, Dias Carvalho P, Martins F, Mendonça S, Malheiro AR, Ribeiro A, Carvalho J, Velho S. Animal Models to Study Cancer and Its Microenvironment. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1219:389-401. [PMID: 32130710 DOI: 10.1007/978-3-030-34025-4_20] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cancers are complex tissues composed by genetically altered cancer cells and stromal elements such as inflammatory/immune cells, fibroblasts, endothelial cells and pericytes, neuronal cells, and a non-cellular component, the extracellular matrix. The complex network of interactions and crosstalk established between cancer cells and the supportig cellular and non-cellular components of the microenvironment are of extreme importance for tumor initiation and progression, strongly impacting the course and the outcome of the disease. Therefore, a better understanding of the tumorigenic processes implies the combined study of the cancer cell and the biologic, chemical and mechanic constituents of the tumor microenvironment, as their concerted action plays a major role in the carcinogenic pathway and is a key determinant of the efficacy of anti-cancer treatments. The use of animal models (e.g. Mouse, Zebrafish and Drosophila) to study cancer has greatly impacted our understanding of the processes governing initiation, progression and metastasis and allowed the discovery and pre-clinical validation of novel cancer treatments as it allows to recreate tumor development in a more pathophysiologic environment.
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Affiliation(s)
- N Mendes
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal.
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal.
| | - P Dias Carvalho
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal
| | - F Martins
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal
| | - S Mendonça
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal
| | - A R Malheiro
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IBMC, Instituto de Biologia Molecular e Celular da Universidade do Porto, Porto, Portugal
| | - A Ribeiro
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal
| | - J Carvalho
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal
| | - S Velho
- i3S, Instituto de Investigação e Inovação em Saúde, Porto, Portugal.
- IPATIMUP, Instituto de Patologia Molecular e Imunologia da Universidade do Porto, Porto, Portugal.
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37
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Shoumariyeh K, Schneider N, Poggio T, Veratti P, Ehrenfeld S, Redhaber DM, Khan R, Pfeifer D, Klingeberg C, Kreutmair S, Rudelius M, Quintanilla-Martinez L, Fend F, Illert AL, Duyster J, Miething C. A novel conditional NPM-ALK-driven model of CD30+ T-cell lymphoma mediated by a translational stop cassette. Oncogene 2019; 39:1904-1913. [DOI: 10.1038/s41388-019-1058-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 05/02/2019] [Accepted: 06/12/2019] [Indexed: 12/20/2022]
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38
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Bok I, Vera O, Xu X, Jasani N, Nakamura K, Reff J, Nenci A, Gonzalez JG, Karreth FA. A Versatile ES Cell-Based Melanoma Mouse Modeling Platform. Cancer Res 2019; 80:912-921. [PMID: 31744817 DOI: 10.1158/0008-5472.can-19-2924] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 10/24/2019] [Accepted: 11/13/2019] [Indexed: 01/04/2023]
Abstract
The cumbersome and time-consuming process of generating new mouse strains and multiallelic experimental animals often hinders the use of genetically engineered mouse models (GEMM) in cancer research. Here, we describe the development and validation of an embryonic stem cell (ESC)-GEMM platform for rapid modeling of melanoma in mice. The platform incorporates 12 clinically relevant genotypes composed of combinations of four driver alleles (LSL-BrafV600E, LSL-NrasQ61R, PtenFlox, and Cdkn2aFlox) and regulatory alleles to spatiotemporally control the perturbation of genes of interest. The ESCs produce high-contribution chimeras, which recapitulate the melanoma phenotypes of conventionally bred mice. Using the ESC-GEMM platform to modulate Pten expression in melanocytes in vivo, we highlighted the utility and advantages of gene depletion by CRISPR-Cas9, RNAi, or conditional knockout for melanoma modeling. Moreover, complementary genetic methods demonstrated the impact of Pten restoration on the prevention and maintenance of Pten-deficient melanomas. Finally, we showed that chimera-derived melanoma cell lines retain regulatory allele competency and are a powerful resource to complement ESC-GEMM chimera experiments in vitro and in syngeneic grafts in vivo Thus, when combined with sophisticated genetic tools, the ESC-GEMM platform enables rapid, high-throughput, and versatile studies aimed at addressing outstanding questions in melanoma biology.Significance: This study presents a high-throughput and versatile ES cell-based mouse modeling platform that can be combined with state-of-the-art genetic tools to address unanswered questions in melanoma in vivo See related commentary by Thorkelsson et al., p. 655.
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Affiliation(s)
- Ilah Bok
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.,Cancer Biology PhD Program, University of South Florida, Tampa, Florida
| | - Olga Vera
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Xiaonan Xu
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Neel Jasani
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.,Cancer Biology PhD Program, University of South Florida, Tampa, Florida
| | - Koji Nakamura
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Jordan Reff
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Arianna Nenci
- Gene Targeting Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Jose G Gonzalez
- Gene Targeting Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Florian A Karreth
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
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39
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Mohammed A, Fox JT, Miller MS. Cancer Chemoprevention: Preclinical In Vivo Alternate Dosing Strategies to Reduce Drug Toxicities. Toxicol Sci 2019; 170:251-259. [PMID: 31020311 PMCID: PMC6657562 DOI: 10.1093/toxsci/kfz104] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Cancer chemopreventive agents inhibit the formation of precursor lesions and/or the progression of these lesions to late stage disease. This approach to disease control has the potential to reduce the physical and financial costs of cancer in society. Several drugs that have been approved by the FDA for other diseases and have been extensively evaluated for their safety and pharmacokinetic/pharmacodynamic characteristics have the potential to be repurposed for use as cancer chemopreventive agents. These agents often mechanistically inhibit signaling molecules that play key roles in the carcinogenic process. The safety profile of agents is a primary concern when considering the administration of drugs for chemoprevention, as the drugs will be given chronically to high-risk, asymptomatic individuals. To decrease drug toxicity while retaining efficacy, several approaches are currently being explored. In this short review, we describe studies that use preclinical in vivo models to assess efficacy of alternative drug dosing strategies and routes of drug administration on chemopreventive drug efficacy. In vivo drug dosing strategies that reduce toxicity while retaining efficacy will pave the way for future cancer prevention clinical trials.
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Affiliation(s)
- Altaf Mohammed
- Chemopreventive Agent Development Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland
| | - Jennifer T Fox
- Chemopreventive Agent Development Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland
| | - Mark Steven Miller
- Chemopreventive Agent Development Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland
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40
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Abstract
Large-scale sequencing of human tumours has uncovered a vast array of genomic alterations. Genetically engineered mouse models recapitulate many features of human cancer and have been instrumental in assigning biological meaning to specific cancer-associated alterations. However, their time, cost and labour-intensive nature limits their broad utility; thus, the functional importance of the majority of genomic aberrations in cancer remains unknown. Recent advances have accelerated the functional interrogation of cancer-associated alterations within in vivo models. Specifically, the past few years have seen the emergence of CRISPR-Cas9-based strategies to rapidly generate increasingly complex somatic alterations and the development of multiplexed and quantitative approaches to ascertain gene function in vivo.
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41
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Malcolm JE, Stearns TM, Airhart SD, Graber JH, Bult CJ. Factors that influence response classifications in chemotherapy treated patient-derived xenografts (PDX). PeerJ 2019; 7:e6586. [PMID: 30944774 PMCID: PMC6441558 DOI: 10.7717/peerj.6586] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 02/08/2019] [Indexed: 01/06/2023] Open
Abstract
In this study, we investigated the impact of initial tumor volume, rate of tumor growth, cohort size, study duration, and data analysis method on chemotherapy treatment response classifications in patient-derived xenografts (PDXs). The analyses were conducted on cisplatin treatment response data for 70 PDX models representing ten cancer types with up to 28-day study duration and cohort sizes of 3-10 tumor-bearing mice. The results demonstrated that a 21-day dosing study using a cohort size of eight was necessary to reliably detect responsive models (i.e., tumor volume ratio of treated animals to control between 0.1 and 0.42)-independent of analysis method. A cohort of three tumor-bearing animals led to a reliable classification of models that were both highly responsive and highly nonresponsive to cisplatin (i.e., tumor volume ratio of treated animals to control animals less than 0.10). In our set of PDXs, we found that tumor growth rate in the control group impacted treatment response classification more than initial tumor volume. We repeated the study design factors using docetaxel treated PDXs with consistent results. Our results highlight the importance of defining endpoints for PDX dosing studies when deciding the size of cohorts to use in dosing studies and illustrate that response classifications for a study do not differ significantly across the commonly used analysis methods that are based on tumor volume changes in treatment versus control groups.
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Affiliation(s)
- Joan E. Malcolm
- The Jackson Laboratory, Bar Harbor, ME, United States of America
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, United States of America
| | | | - Susan D. Airhart
- The Jackson Laboratory, Bar Harbor, ME, United States of America
| | - Joel H. Graber
- The Jackson Laboratory, Bar Harbor, ME, United States of America
- The MDI Biological Laboratory, Bar Harbor, ME, United States of America
| | - Carol J. Bult
- The Jackson Laboratory, Bar Harbor, ME, United States of America
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42
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Abstract
Despite the high long-term survival in localized prostate cancer, metastatic prostate cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by the lack of therapeutic regimens capable of generating durable responses in the setting of extreme tumor heterogeneity on the genetic and cell biological levels. Here, we review available prostate cancer model systems, the prostate cancer genome atlas, cellular and functional heterogeneity in the tumor microenvironment, tumor-intrinsic and tumor-extrinsic mechanisms underlying therapeutic resistance, and technological advances focused on disease detection and management. These advances, along with an improved understanding of the adaptive responses to conventional cancer therapies, anti-androgen therapy, and immunotherapy, are catalyzing development of more effective therapeutic strategies for advanced disease. In particular, knowledge of the heterotypic interactions between and coevolution of cancer and host cells in the tumor microenvironment has illuminated novel therapeutic combinations with a strong potential for more durable therapeutic responses and eventual cures for advanced disease. Improved disease management will also benefit from artificial intelligence-based expert decision support systems for proper standard of care, prognostic determinant biomarkers to minimize overtreatment of localized disease, and new standards of care accelerated by next-generation adaptive clinical trials.
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Affiliation(s)
- Guocan Wang
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Di Zhao
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Denise J Spring
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Ronald A DePinho
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
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43
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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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44
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Baliou S, Adamaki M, Kyriakopoulos AM, Spandidos DA, Panayiotidis M, Christodoulou I, Zoumpourlis V. CRISPR therapeutic tools for complex genetic disorders and cancer (Review). Int J Oncol 2018; 53:443-468. [PMID: 29901119 PMCID: PMC6017271 DOI: 10.3892/ijo.2018.4434] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 05/18/2018] [Indexed: 12/13/2022] Open
Abstract
One of the fundamental discoveries in the field of biology is the ability to modulate the genome and to monitor the functional outputs derived from genomic alterations. In order to unravel new therapeutic options, scientists had initially focused on inducing genetic alterations in primary cells, in established cancer cell lines and mouse models using either RNA interference or cDNA overexpression or various programmable nucleases [zinc finger nucleases (ZNF), transcription activator-like effector nucleases (TALEN)]. Even though a huge volume of data was produced, its use was neither cheap nor accurate. Therefore, the clustered regularly interspaced short palindromic repeats (CRISPR) system was evidenced to be the next step in genome engineering tools. CRISPR-associated protein 9 (Cas9)-mediated genetic perturbation is simple, precise and highly efficient, empowering researchers to apply this method to immortalized cancerous cell lines, primary cells derived from mouse and human origins, xenografts, induced pluripotent stem cells, organoid cultures, as well as the generation of genetically engineered animal models. In this review, we assess the development of the CRISPR system and its therapeutic applications to a wide range of complex diseases (particularly distinct tumors), aiming at personalized therapy. Special emphasis is given to organoids and CRISPR screens in the design of innovative therapeutic approaches. Overall, the CRISPR system is regarded as an eminent genome engineering tool in therapeutics. We envision a new era in cancer biology during which the CRISPR-based genome engineering toolbox will serve as the fundamental conduit between the bench and the bedside; nonetheless, certain obstacles need to be addressed, such as the eradication of side-effects, maximization of efficiency, the assurance of delivery and the elimination of immunogenicity.
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Affiliation(s)
- Stella Baliou
- National Hellenic Research Foundation, 11635 Athens, Greece
| | - Maria Adamaki
- National Hellenic Research Foundation, 11635 Athens, Greece
| | | | - Demetrios A Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, Heraklion 71003, Greece
| | - Mihalis Panayiotidis
- Department of Applied Sciences, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK
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45
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Yu C, Stefanson O, Liu Y, Wang ZA. Novel Method of Plasmid DNA Delivery to Mouse Bladder Urothelium by Electroporation. J Vis Exp 2018. [PMID: 29782018 DOI: 10.3791/57649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Genetically engineered mouse models (GEMMs) are extremely valuable in revealing novel biological insights into the initiation and progression mechanisms of human diseases such as cancer. Transgenic and conditional knockout mice have been frequently used for gene overexpression or ablation in specific tissues or cell types in vivo. However, generating germline mouse models can be time-consuming and costly. Recent advancements in gene editing technologies and the feasibility of delivering DNA plasmids by viral infection have enabled rapid generation of non-germline autochthonous mouse cancer models for several organs. The bladder is an organ that has been difficult for viral vectors to access, due to the presence of a glycosaminoglycan layer covering the urothelium. Here, we describe a novel method developed in lab for efficient delivery of DNA plasmids into the mouse bladder urothelium in vivo. Through intravesical instillation of pCAG-GFP DNA plasmid and electroporation of surgically exposed bladder, we show that the DNA plasmid can be delivered specifically into the bladder urothelial cells for transient expression. Our method provides a fast and convenient way for overexpression and knockdown of genes in the mouse bladder, and can be applied to building GEMMs of bladder cancer and other urological diseases.
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Affiliation(s)
- Chuan Yu
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz
| | - Ofir Stefanson
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz
| | - Yueli Liu
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz
| | - Zhu A Wang
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz;
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46
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Khatua S, Gutmann DH, Packer RJ. Neurofibromatosis type 1 and optic pathway glioma: Molecular interplay and therapeutic insights. Pediatr Blood Cancer 2018; 65. [PMID: 29049847 DOI: 10.1002/pbc.26838] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 08/21/2017] [Accepted: 09/02/2017] [Indexed: 12/17/2022]
Abstract
Children with neurofibromatosis type 1 (NF1) are predisposed to develop central nervous system neoplasms, the most common of which are low-grade gliomas (LGGs). The absence of human NF1 associated LGG-derived cell lines, coupled with an inability to generate patient-derived xenograft models, represents barriers to profile molecularly targeted therapies for these tumors. Thus, genetically engineered mouse models have been identified to evaluate the interplay between Nf1-deficient tumor cells and nonneoplastic stromal cells to evaluate potential therapies for these neoplasms. Future treatments might also consider targeting the nonneoplastic cells in NF1-LGGs to reduce tumor growth and neurologic morbidity in affected children.
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Affiliation(s)
- Soumen Khatua
- Department of Pediatrics, MD Anderson Cancer Center, Houston, Texas
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Roger J Packer
- Center for Neuroscience and Behavioral Medicine, Children's National Medical Center, Washington, District of Columbia
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Wang G, Chow RD, Ye L, Guzman CD, Dai X, Dong MB, Zhang F, Sharp PA, Platt RJ, Chen S. Mapping a functional cancer genome atlas of tumor suppressors in mouse liver using AAV-CRISPR-mediated direct in vivo screening. SCIENCE ADVANCES 2018; 4:eaao5508. [PMID: 29503867 PMCID: PMC5829971 DOI: 10.1126/sciadv.aao5508] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 01/23/2018] [Indexed: 05/22/2023]
Abstract
Cancer genomics consortia have charted the landscapes of numerous human cancers. Whereas some mutations were found in classical oncogenes and tumor suppressors, others have not yet been functionally studied in vivo. To date, a comprehensive assessment of how these genes influence oncogenesis is lacking. We performed direct high-throughput in vivo mapping of functional variants in an autochthonous mouse model of cancer. Using adeno-associated viruses (AAVs) carrying a single-guide RNA (sgRNA) library targeting putative tumor suppressor genes significantly mutated in human cancers, we directly pool-mutagenized the livers of Cre-inducible CRISPR (clustered regularly interspaced short palindromic repeats)-associated protein 9 (Cas9) mice. All mice that received the AAV-mTSG library developed liver cancer and died within 4 months. We used molecular inversion probe sequencing of the sgRNA target sites to chart the mutational landscape of these tumors, revealing the functional consequence of multiple variants in driving liver tumorigenesis in immunocompetent mice. AAV-mediated autochthonous CRISPR screens provide a powerful means for mapping a provisional functional cancer genome atlas of tumor suppressors in vivo.
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Affiliation(s)
- Guangchuan Wang
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Ryan D. Chow
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
- MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Lupeng Ye
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Christopher D. Guzman
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
- Immunobiology Program, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Xiaoyun Dai
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Matthew B. Dong
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
- MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Feng Zhang
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, 75 Ames Street, Cambridge, MA 02142, USA
- Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
| | - Phillip A. Sharp
- Koch Institute for Integrative Cancer Research, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139–4307, USA
- Department of Biology, MIT, Cambridge, MA 02139–4307, USA
| | - Randall J. Platt
- Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland
- Department of Chemistry, University of Basel, Petersplatz 1, 4003 Basel, Switzerland
- Corresponding author. (S.C.); (R.J.P.)
| | - Sidi Chen
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
- Systems Biology Institute, Yale University School of Medicine, 850 West Campus Drive, West Haven, CT 06516, USA
- Immunobiology Program, Yale University School of Medicine, New Haven, CT 06510, USA
- Biological and Biomedical Sciences Program, Yale University School of Medicine, West Haven, CT 06516, USA
- Comprehensive Cancer Center, Yale University School of Medicine, West Haven, CT 06516, USA
- Stem Cell Center, Yale University School of Medicine, West Haven, CT 06516, USA
- Corresponding author. (S.C.); (R.J.P.)
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Doron B, Handu M, Kurre P. Concise Review: Adaptation of the Bone Marrow Stroma in Hematopoietic Malignancies: Current Concepts and Models. Stem Cells 2018; 36:304-312. [DOI: 10.1002/stem.2761] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 11/28/2017] [Accepted: 12/04/2017] [Indexed: 01/20/2023]
Affiliation(s)
- Ben Doron
- OHSU Department of Pediatrics; Portland Oregon USA
- Pediatric Blood and Cancer Biology; Portland Oregon USA
- Papé Family Pediatric Research Institute; Portland Oregon USA
- Oregon Health and Science University; Portland Oregon USA
| | - Mithila Handu
- OHSU Department of Pediatrics; Portland Oregon USA
- Pediatric Blood and Cancer Biology; Portland Oregon USA
- Papé Family Pediatric Research Institute; Portland Oregon USA
- Oregon Health and Science University; Portland Oregon USA
| | - Peter Kurre
- OHSU Department of Pediatrics; Portland Oregon USA
- Pediatric Blood and Cancer Biology; Portland Oregon USA
- Papé Family Pediatric Research Institute; Portland Oregon USA
- Oregon Health and Science University; Portland Oregon USA
- OHSU Knight Cancer Institute; Portland Oregon USA
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Poirier JT. CRISPR Libraries and Screening. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2017; 152:69-82. [PMID: 29150005 DOI: 10.1016/bs.pmbts.2017.10.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
CRISPR-Cas9 technology has revolutionized large-scale functional genomic screening in mammalian cell-culture systems. Due in part to optimized lentiviral delivery vectors; it is now possible to perform CRISPR-Cas9 screens in animals in order to study biological processes in the context of a whole organism and within more physiologically relevant environment. This chapter focuses primarily on mouse models of human cancers; viral vectors used for simultaneous tumor initiation and genome editing and sgRNA library design considerations. Experience with direct and indirect in vivo RNAi screens in the literature is also discussed in order to highlight the challenges of delivering diverse libraries of small RNAs in vivo.
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Affiliation(s)
- John T Poirier
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
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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: 283] [Impact Index Per Article: 40.4] [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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