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Hartley A, Kavishwar G, Salvato I, Marchini A. A Roadmap for the Success of Oncolytic Parvovirus-Based Anticancer Therapies. Annu Rev Virol 2020; 7:537-557. [PMID: 32600158 DOI: 10.1146/annurev-virology-012220-023606] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Autonomous rodent protoparvoviruses (PVs) are promising anticancer agents due to their excellent safety profile, natural oncotropism, and oncosuppressive activities. Viral infection can trigger immunogenic cell death, activating the immune system against the tumor. However, the efficacy of this treatment in recent clinical trials is moderate compared with results seen in preclinical work. Various strategies have been employed to improve the anticancer activities of oncolytic PVs, including development of second-generation parvoviruses with enhanced oncolytic and immunostimulatory activities and rational combination of PVs with other therapies. Understanding the cellular factors involved in the PV life cycle is another important area of investigation. Indeed, these studies may lead to the identification of biomarkers that would allow a more personalized use of PV-based therapies. This review focuses on this work and the challenges that still need to be overcome to move PVs forward into clinical practice as an effective therapeutic option for cancer patients.
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Affiliation(s)
- Anna Hartley
- Laboratory of Oncolytic Virus Immuno-Therapeutics, German Cancer Research Center, 69120 Heidelberg, Germany;
| | - Gayatri Kavishwar
- Laboratory of Oncolytic Virus Immuno-Therapeutics, German Cancer Research Center, 69120 Heidelberg, Germany;
| | - Ilaria Salvato
- Laboratory of Oncolytic Virus Immuno-Therapeutics, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg;
| | - Antonio Marchini
- Laboratory of Oncolytic Virus Immuno-Therapeutics, German Cancer Research Center, 69120 Heidelberg, Germany; .,Laboratory of Oncolytic Virus Immuno-Therapeutics, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg;
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Di Blasio S, van Wigcheren GF, Becker A, van Duffelen A, Gorris M, Verrijp K, Stefanini I, Bakker GJ, Bloemendal M, Halilovic A, Vasaturo A, Bakdash G, Hato SV, de Wilt JHW, Schalkwijk J, de Vries IJM, Textor JC, van den Bogaard EH, Tazzari M, Figdor CG. The tumour microenvironment shapes dendritic cell plasticity in a human organotypic melanoma culture. Nat Commun 2020; 11:2749. [PMID: 32488012 PMCID: PMC7265463 DOI: 10.1038/s41467-020-16583-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 05/11/2020] [Indexed: 12/15/2022] Open
Abstract
The tumour microenvironment (TME) forms a major obstacle in effective cancer treatment and for clinical success of immunotherapy. Conventional co-cultures have shed light onto multiple aspects of cancer immunobiology, but they are limited by the lack of physiological complexity. We develop a human organotypic skin melanoma culture (OMC) that allows real-time study of host-malignant cell interactions within a multicellular tissue architecture. By co-culturing decellularized dermis with keratinocytes, fibroblasts and immune cells in the presence of melanoma cells, we generate a reconstructed TME that closely resembles tumour growth as observed in human lesions and supports cell survival and function. We demonstrate that the OMC is suitable and outperforms conventional 2D co-cultures for the study of TME-imprinting mechanisms. Within the OMC, we observe the tumour-driven conversion of cDC2s into CD14+ DCs, characterized by an immunosuppressive phenotype. The OMC provides a valuable approach to study how a TME affects the immune system.
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Affiliation(s)
- S Di Blasio
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Tumour-Host Interaction Lab, The Francis Crick Institute, London, UK
| | - G F van Wigcheren
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - A Becker
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A van Duffelen
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - M Gorris
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - K Verrijp
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - I Stefanini
- Division of Biomedical Sciences, The University of Warwick, Coventry, UK
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
| | - G J Bakker
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M Bloemendal
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A Halilovic
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A Vasaturo
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - G Bakdash
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - S V Hato
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J H W de Wilt
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J Schalkwijk
- Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - I J M de Vries
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J C Textor
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - E H van den Bogaard
- Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M Tazzari
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
- Immunotherapy-Cell Therapy and Biobank Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
| | - C G Figdor
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
- Oncode Institute, Utrecht, The Netherlands.
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Raimondi G, Mato-Berciano A, Pascual-Sabater S, Rovira-Rigau M, Cuatrecasas M, Fondevila C, Sánchez-Cabús S, Begthel H, Boj SF, Clevers H, Fillat C. Patient-derived pancreatic tumour organoids identify therapeutic responses to oncolytic adenoviruses. EBioMedicine 2020; 56:102786. [PMID: 32460166 PMCID: PMC7251378 DOI: 10.1016/j.ebiom.2020.102786] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Pancreatic patient-derived organoids (PDOs) are a well-established model for studying pancreatic ductal adenocarcinoma (PDAC) carcinogenesis and are potential predictors of clinical responses to chemotherapy. Oncolytic virotherapy is envisioned as a novel treatment modality for pancreatic cancer, and candidate viruses are being tested in clinical trials. Here, we explore the feasibility of using PDOs as a screening platform for the oncolytic adenovirus (OA) response. METHODS Organoids were established from healthy pancreas and PDAC tissues and assessed for infectivity, oncoselectivity, and patient-dependent sensitivity to OA. Antitumour effects were studied in vivo in organoid xenografts. Further evaluation of oncolytic responses was conducted in organoids derived from orthotopic models or metastastic tissues. FINDINGS Oncolytic adenoviruses display good selectivity, with replication only in organoids derived from PDAC tumours. Furthermore, responses of PDOs to a set of OAs reveal individual differences in cytotoxicity as well as in synergism with standard chemotherapy. Adenoviral cytotoxicity in PDOs is predictive of antitumour efficacy in a subcutaneous xenograft setting. Organoids from orthotopic tumours and metastases in nude mice mirror the viral preference of PDOs, indicating that PDO sensitivity to OAs could be informative about responses in both primary tumours and metastatic foci. INTERPRETATION Our data imply that pancreatic PDOs can serve as predictive tools for screening for sensitivity to OA.
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Affiliation(s)
- Giulia Raimondi
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Ana Mato-Berciano
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Maria Rovira-Rigau
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Miriam Cuatrecasas
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Pathology department. Hospital Clínic, and Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Constantino Fondevila
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Digestive and General Surgery Department, Hospital Clinic, and Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Santiago Sánchez-Cabús
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Digestive and General Surgery Department, Hospital Clinic, and Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Harry Begthel
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, the Netherlands
| | - Sylvia F Boj
- Foundation Hubrecht Organoid Technology, Utrecht, the Netherlands
| | - Hans Clevers
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, the Netherlands; Princess Maxima Center, Utrecht, the Netherlands
| | - Cristina Fillat
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain; Facultat de Medicina i Ciències de la Salut. Universitat de Barcelona (UB), Barcelona, Spain.
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Terlizzi C, De Rosa V, Iommelli F, Altobelli GG, Fonti R, Del Vecchio S. Preclinical imaging for targeting cancer immune evasion. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2020; 64:186-193. [DOI: 10.23736/s1824-4785.20.03254-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Bürtin F, Mullins CS, Linnebacher M. Mouse models of colorectal cancer: Past, present and future perspectives. World J Gastroenterol 2020; 26:1394-1426. [PMID: 32308343 PMCID: PMC7152519 DOI: 10.3748/wjg.v26.i13.1394] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common diagnosed malignancy among both sexes in the United States as well as in the European Union. While the incidence and mortality rates in western, high developed countries are declining, reflecting the success of screening programs and improved treatment regimen, a rise of the overall global CRC burden can be observed due to lifestyle changes paralleling an increasing human development index. Despite a growing insight into the biology of CRC and many therapeutic improvements in the recent decades, preclinical in vivo models are still indispensable for the development of new treatment approaches. Since the development of carcinogen-induced rodent models for CRC more than 80 years ago, a plethora of animal models has been established to study colon cancer biology. Despite tenuous invasiveness and metastatic behavior, these models are useful for chemoprevention studies and to evaluate colitis-related carcinogenesis. Genetically engineered mouse models (GEMM) mirror the pathogenesis of sporadic as well as inherited CRC depending on the specific molecular pathways activated or inhibited. Although the vast majority of CRC GEMM lack invasiveness, metastasis and tumor heterogeneity, they still have proven useful for examination of the tumor microenvironment as well as systemic immune responses; thus, supporting development of new therapeutic avenues. Induction of metastatic disease by orthotopic injection of CRC cell lines is possible, but the so generated models lack genetic diversity and the number of suited cell lines is very limited. Patient-derived xenografts, in contrast, maintain the pathological and molecular characteristics of the individual patient’s CRC after subcutaneous implantation into immunodeficient mice and are therefore most reliable for preclinical drug development – even in comparison to GEMM or cell line-based analyses. However, subcutaneous patient-derived xenograft models are less suitable for studying most aspects of the tumor microenvironment and anti-tumoral immune responses. The authors review the distinct mouse models of CRC with an emphasis on their clinical relevance and shed light on the latest developments in the field of preclinical CRC models.
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Affiliation(s)
- Florian Bürtin
- Department of General, Visceral, Vascular and Transplantation Surgery, University Medical Center Rostock, University of Rostock, Rostock 18057, Germany
| | - Christina S Mullins
- Department of Thoracic Surgery, University Medical Center Rostock, University of Rostock, Rostock 18057, Germany
| | - Michael Linnebacher
- Molecular Oncology and Immunotherapy, Department of General, Visceral, Vascular and Transplantation Surgery, University Medical Center Rostock, Rostock 18057, Germany
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Testa U, Castelli G, Pelosi E. Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments. Med Sci (Basel) 2020; 8:E18. [PMID: 32210163 PMCID: PMC7151639 DOI: 10.3390/medsci8010018] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/23/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most commonly occurring cancer in women. There were over two-million new cases in world in 2018. It is the second leading cause of death from cancer in western countries. At the molecular level, breast cancer is a heterogeneous disease, which is characterized by high genomic instability evidenced by somatic gene mutations, copy number alterations, and chromosome structural rearrangements. The genomic instability is caused by defects in DNA damage repair, transcription, DNA replication, telomere maintenance and mitotic chromosome segregation. According to molecular features, breast cancers are subdivided in subtypes, according to activation of hormone receptors (estrogen receptor and progesterone receptor), of human epidermal growth factors receptor 2 (HER2), and or BRCA mutations. In-depth analyses of the molecular features of primary and metastatic breast cancer have shown the great heterogeneity of genetic alterations and their clonal evolution during disease development. These studies have contributed to identify a repertoire of numerous disease-causing genes that are altered through different mutational processes. While early-stage breast cancer is a curable disease in about 70% of patients, advanced breast cancer is largely incurable. However, molecular studies have contributed to develop new therapeutic approaches targeting HER2, CDK4/6, PI3K, or involving poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and immunotherapy.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Regina Elena 299, 00161 Rome, Italy; (G.C.); (E.P.)
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Sobczuk P, Brodziak A, Khan MI, Chhabra S, Fiedorowicz M, Wełniak-Kamińska M, Synoradzki K, Bartnik E, Cudnoch-Jędrzejewska A, Czarnecka AM. Choosing The Right Animal Model for Renal Cancer Research. Transl Oncol 2020; 13:100745. [PMID: 32092671 PMCID: PMC7036425 DOI: 10.1016/j.tranon.2020.100745] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/04/2020] [Accepted: 01/06/2020] [Indexed: 12/17/2022] Open
Abstract
The increase in the life expectancy of patients with renal cell carcinoma (RCC) in the last decade is due to changes that have occurred in the area of preclinical studies. Understanding cancer pathophysiology and the emergence of new therapeutic options, including immunotherapy, would not be possible without proper research. Before new approaches to disease treatment are developed and introduced into clinical practice they must be preceded by preclinical tests, in which animal studies play a significant role. This review describes the progress in animal model development in kidney cancer research starting from the oldest syngeneic or chemically-induced models, through genetically modified mice, finally to xenograft, especially patient-derived, avatar and humanized mouse models. As there are a number of subtypes of RCC, our aim is to help to choose the right animal model for a particular kidney cancer subtype. The data on genetic backgrounds, biochemical parameters, histology, different stages of carcinogenesis and metastasis in various animal models of RCC as well as their translational relevance are summarized. Moreover, we shed some light on imaging methods, which can help define tumor microstructure, assist in the analysis of its metabolic changes and track metastasis development.
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Affiliation(s)
- Paweł Sobczuk
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
| | - Anna Brodziak
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
| | - Mohammed Imran Khan
- Department of Otolaryngology - Head & Neck Surgery, Western University, London, Ontario, Canada.
| | - Stuti Chhabra
- Department of Biochemistry, CSIR-Central Drug Research Institute, Lucknow, India.
| | - Michał Fiedorowicz
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Marlena Wełniak-Kamińska
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Kamil Synoradzki
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Ewa Bartnik
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland.
| | - Agnieszka Cudnoch-Jędrzejewska
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
| | - Anna M Czarnecka
- Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland; Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
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Schlaak RA, SenthilKumar G, Boerma M, Bergom C. Advances in Preclinical Research Models of Radiation-Induced Cardiac Toxicity. Cancers (Basel) 2020; 12:E415. [PMID: 32053873 PMCID: PMC7072196 DOI: 10.3390/cancers12020415] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/08/2020] [Accepted: 02/08/2020] [Indexed: 12/12/2022] Open
Abstract
Radiation therapy (RT) is an important component of cancer therapy, with >50% of cancer patients receiving RT. As the number of cancer survivors increases, the short- and long-term side effects of cancer therapy are of growing concern. Side effects of RT for thoracic tumors, notably cardiac and pulmonary toxicities, can cause morbidity and mortality in long-term cancer survivors. An understanding of the biological pathways and mechanisms involved in normal tissue toxicity from RT will improve future cancer treatments by reducing the risk of long-term side effects. Many of these mechanistic studies are performed in animal models of radiation exposure. In this area of research, the use of small animal image-guided RT with treatment planning systems that allow more accurate dose determination has the potential to revolutionize knowledge of clinically relevant tumor and normal tissue radiobiology. However, there are still a number of challenges to overcome to optimize such radiation delivery, including dose verification and calibration, determination of doses received by adjacent normal tissues that can affect outcomes, and motion management and identifying variation in doses due to animal heterogeneity. In addition, recent studies have begun to determine how animal strain and sex affect normal tissue radiation injuries. This review article discusses the known and potential benefits and caveats of newer technologies and methods used for small animal radiation delivery, as well as how the choice of animal models, including variables such as species, strain, and age, can alter the severity of cardiac radiation toxicities and impact their clinical relevance.
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Affiliation(s)
- Rachel A. Schlaak
- Department of Pharmacology & Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA;
| | - Gopika SenthilKumar
- Medical Scientist Training Program, Medical College of Wisconsin; Milwaukee, WI 53226, USA;
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Marjan Boerma
- Division of Radiation Health, Department of Pharmaceutical Sciences, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Carmen Bergom
- Department of Pharmacology & Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA;
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Novel patient-derived preclinical models of liver cancer. J Hepatol 2020; 72:239-249. [PMID: 31954489 DOI: 10.1016/j.jhep.2019.09.028] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 09/24/2019] [Accepted: 09/28/2019] [Indexed: 12/25/2022]
Abstract
Preclinical models of cancer based on the use of human cancer cell lines and mouse models have enabled discoveries that have been successfully translated into patients. And yet the majority of clinical trials fail, emphasising the urgent need to improve preclinical research to better interrogate the potential efficacy of each therapy and the patient population most likely to benefit. This is particularly important for liver malignancies, which lack highly efficient treatments and account for hundreds of thousands of deaths around the globe. Given the intricate network of genetic and environmental factors that contribute to liver cancer development and progression, the identification of new druggable targets will mainly depend on establishing preclinical models that mirror the complexity of features observed in patients. The development of new 3D cell culture systems, originating from cells/tissues isolated from patients, might create new opportunities for the generation of more specific and personalised therapies. However, these systems are unable to recapitulate the tumour microenvironment and interactions with the immune system, both proven to be critical influences on therapeutic outcomes. Patient-derived xenografts, in particular with humanised mouse models, more faithfully mimic the physiology of human liver cancer but are costly and time-consuming, which can be prohibitive for personalising therapies in the setting of an aggressive malignancy. In this review, we discuss the latest advances in the development of more accurate preclinical models to better understand liver cancer biology and identify paradigm-changing therapies, stressing the importance of a bi-directional communicative flow between clinicians and researchers to establish reliable model systems and determine how best to apply them to expanding our current knowledge.
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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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Bakouny Z, Flippot R, Braun DA, Lalani AKA, Choueiri TK. State of the Future: Translational Approaches in Renal Cell Carcinoma in the Immunotherapy Era. Eur Urol Focus 2020; 6:37-40. [DOI: 10.1016/j.euf.2019.02.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Accepted: 02/19/2019] [Indexed: 12/20/2022]
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Carpenter R, Oh HJ, Ham IH, Kim D, Hur H, Lee J. Scaffold-Assisted Ectopic Transplantation of Internal Organs and Patient-Derived Tumors. ACS Biomater Sci Eng 2019; 5:6667-6678. [PMID: 33423485 DOI: 10.1021/acsbiomaterials.9b00978] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Xenotransplantation of human tissues into immunodeficient mice has emerged as an invaluable preclinical model to study human biology and disease progression and predict clinical response. The most common anatomical site for tissue transplantation is the subcutaneous pocket due to simple surgical procedures and accessibility for gross monitoring and advanced imaging modalities. However, subcutaneously implanted tissues initially experience a sharp change in oxygen and nutrient supply and increased mechanical deformation. During this acute phase of tissue integration to the host vasculature, substantial cell death and tissue fibrosis occur limiting engraftment efficiency. Previously, we demonstrated that the implantation of inverted colloidal crystal hydrogel scaffolds triggers proangiogenic and immunomodulatory functions without characteristic foreign body encapsulation. In this study, we examine the use of this unique host response to improve the ectopic transplantation of tissues to the subcutaneous site. Scaffold-assisted tissues preserved morphological features and blood vessel density compared to native tissues, whereas scaffold-free tissues collapsed and were less vascularized. Notably, the supporting biomaterial scaffold modulated the foreign body response to reduce the localization of Ly6G+ cells within the transplanted tissues. Cotransplantation of patient-derived gastric cancer with a scaffold resulted in a comparable level of engraftment to conventional methods; however, detailed immunohistological characterization revealed significantly better retention of proliferative cells (Ki67+) and human immune cells (CD45+) by the end of the study. We envision that leveraging the immunomodulatory properties of biomaterial interfaces can be an attractive strategy to improve the functional engraftment of xenotransplants and accelerate individualized diagnostics and the development of novel therapeutic strategies.
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Affiliation(s)
| | - Hye Jeong Oh
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
| | - In-Hye Ham
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
| | - Daeyoung Kim
- Department of Mathematics & Statistics, University of Massachusetts, Amherst, Lederle Graduate Research Tower, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Hoon Hur
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
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Cardenas JJ, Robles-Oteiza C, Politi K. Assessment of IFNγ responsiveness in patient-derived xenografts. Methods Enzymol 2019; 631:415-427. [PMID: 31948560 DOI: 10.1016/bs.mie.2019.10.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Patient-derived xenografts are a useful tool in cancer immunology, as they allow researchers to study human cancers in vivo when starting with a relatively small amount of human tumor tissue. These models make it possible to study tumor cell-intrinsic changes that occur in response to external stimuli including cytokines like interferon gamma (IFNγ) that are important for effective anti-tumor immune responses. IFNγ responsiveness can be measured by assessing surface expression of MHC class I on tumor cells, the molecule on which tumor antigens are presented to cytotoxic T cells in the tumor microenvironment. Low levels of MHC class I and lack of responsiveness have been associated with resistance to T-cell directed therapies like immune checkpoint inhibitors. In this chapter, we present a protocol for an assay to screen patient-derived xenografts for their responsiveness to IFNγ. The results of this assay can be used as a starting point for uncovering cancer cell-intrinsic mechanisms of resistance to immunotherapies in patient tumors.
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Affiliation(s)
- Jordan J Cardenas
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, United States
| | - Camila Robles-Oteiza
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, United States
| | - Katerina Politi
- Department of Pathology, Yale School of Medicine, New Haven, CT, United States; Department of Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, CT, United States; Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States.
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64
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Combing the Cancer Genome for Novel Kinase Drivers and New Therapeutic Targets. Cancers (Basel) 2019; 11:cancers11121972. [PMID: 31817861 PMCID: PMC6966563 DOI: 10.3390/cancers11121972] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 12/19/2022] Open
Abstract
Protein kinases are critical regulators of signaling cascades that control cellular proliferation, growth, survival, metabolism, migration, and invasion. Deregulation of kinase activity can lead to aberrant regulation of biological processes and to the onset of diseases, including cancer. In this review, we focus on oncogenic kinases and the signaling pathways they regulate that underpin tumor development. We highlight genomic biomarker-based precision medicine intervention strategies that match kinase inhibitors alone or in combination to mutationally activated kinase drivers, as well as progress towards implementation of these treatment strategies in the clinic. We also discuss the challenges for identification of novel protein kinase cancer drivers in the genomic era.
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Horak V, Palanova A, Cizkova J, Miltrova V, Vodicka P, Kupcova Skalnikova H. Melanoma-Bearing Libechov Minipig (MeLiM): The Unique Swine Model of Hereditary Metastatic Melanoma. Genes (Basel) 2019; 10:E915. [PMID: 31717496 PMCID: PMC6895830 DOI: 10.3390/genes10110915] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/31/2019] [Accepted: 11/07/2019] [Indexed: 12/12/2022] Open
Abstract
National cancer databases document that melanoma is the most aggressive and deadly cutaneous malignancy with worldwide increasing incidence in the Caucasian population. Around 10% of melanomas occur in families. Several germline mutations were identified that might help to indicate individuals at risk for preventive interventions and early disease detection. More than 50% of sporadic melanomas carry mutations in Ras/Raf/mitogen-activated protein kinase (MAPK/MEK) pathway, which may represent aims of novel targeted therapies. Despite advances in targeted therapies and immunotherapies, the outcomes in metastatic tumor are still unsatisfactory. Here, we review animal models that help our understanding of melanoma development and treatment, including non-vertebrate, mouse, swine, and other mammal models, with an emphasis on those with spontaneously developing melanoma. Special attention is paid to the melanoma-bearing Libechov minipig (MeLiM). This original swine model of hereditary metastatic melanoma enables studying biological processes underlying melanoma progression, as well as spontaneous regression. Current histological, immunohistochemical, biochemical, genetic, hematological, immunological, and skin microbiome findings in the MeLiM model are summarized, together with development of new therapeutic approaches based on tumor devitalization. The ongoing study of molecular and immunological base of spontaneous regression in MeLiM model has potential to bring new knowledge of clinical importance.
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Affiliation(s)
| | | | | | | | | | - Helena Kupcova Skalnikova
- Czech Academy of Sciences, Institute of Animal Physiology and Genetics, Laboratory of Applied Proteome Analyses and Research Center PIGMOD, 277 21 Libechov, Czech Republic; (V.H.); (A.P.); (J.C.); (V.M.); (P.V.)
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Bray LJ, Hutmacher DW, Bock N. Addressing Patient Specificity in the Engineering of Tumor Models. Front Bioeng Biotechnol 2019; 7:217. [PMID: 31572718 PMCID: PMC6751285 DOI: 10.3389/fbioe.2019.00217] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 08/27/2019] [Indexed: 12/12/2022] Open
Abstract
Cancer treatment is challenged by the heterogeneous nature of cancer, where prognosis depends on tumor type and disease stage, as well as previous treatments. Optimal patient stratification is critical for the development and validation of effective treatments, yet pre-clinical model systems are lacking in the delivery of effective individualized platforms that reflect distinct patient-specific clinical situations. Advances in cancer cell biology, biofabrication, and microengineering technologies have led to the development of more complex in vitro three-dimensional (3D) models to act as drug testing platforms and to elucidate novel cancer mechanisms. Mostly, these strategies have enabled researchers to account for the tumor microenvironment context including tumor-stroma interactions, a key factor of heterogeneity that affects both progression and therapeutic resistance. This is aided by state-of-the-art biomaterials and tissue engineering technologies, coupled with reproducible and high-throughput platforms that enable modeling of relevant physical and chemical factors. Yet, the translation of these models and technologies has been impaired by neglecting to incorporate patient-derived cells or tissues, and largely focusing on immortalized cell lines instead, contributing to drug failure rates. While this is a necessary step to establish and validate new models, a paradigm shift is needed to enable the systematic inclusion of patient-derived materials in the design and use of such models. In this review, we first present an overview of the components responsible for heterogeneity in different tumor microenvironments. Next, we introduce the state-of-the-art of current in vitro 3D cancer models employing patient-derived materials in traditional scaffold-free approaches, followed by novel bioengineered scaffold-based approaches, and further supported by dynamic systems such as bioreactors, microfluidics, and tumor-on-a-chip devices. We critically discuss the challenges and clinical prospects of models that have succeeded in providing clinical relevance and impact, and present emerging concepts of novel cancer model systems that are addressing patient specificity, the next frontier to be tackled by the field.
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Affiliation(s)
- Laura J. Bray
- School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia
- Translational Research Institute, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Dietmar W. Hutmacher
- School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia
- Translational Research Institute, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Brisbane, QLD, Australia
- Australian Research Council (ARC) Industrial Transformation Training Centre in Additive Biomanufacturing, Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia
| | - Nathalie Bock
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia
- Translational Research Institute, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Brisbane, QLD, Australia
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Boettcher AN, Usman A, Morgans A, VanderWeele DJ, Sosman J, Wu JD. Past, Current, and Future of Immunotherapies for Prostate Cancer. Front Oncol 2019; 9:884. [PMID: 31572678 PMCID: PMC6749031 DOI: 10.3389/fonc.2019.00884] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/27/2019] [Indexed: 12/22/2022] Open
Abstract
Prostate cancer (PCa) is the most common cancer in men, and the second leading cause of cancer related death in men in Western countries. The standard therapy for metastatic PCa is androgen suppression therapy (AST). Men undergoing AST eventually develop metastatic castration-resistant prostate cancer (mCRPC), of which there are limited treatment options available. Immunotherapy has presented substantial benefits for many types of cancer, but only a marginal benefit for mCRPC, at least in part, due to the immunosuppressive tumor microenvironment (TME). Current clinical trials are investigating monotherapies or combination therapies involving adoptive cellular therapy, viral, DNA vaccines, oncolytic viruses, and immune checkpoint inhibitors (ICI). Immunotherapies are also being combined with chemotherapy, radiation, and AST. Additionally, preclinical investigations show promise with the recent description of alternative ways to circumvent the immunosuppressive nature of the prostate tumor microenvironment, including harnessing the immune stimulatory NKG2D pathway, inhibiting myeloid derived suppressor cells, and utilizing immunomodulatory oncolytic viruses. Herein we provide an overview of recent preclinical and clinical developments in cancer immunotherapies and discuss the perspectives for future immunotherapies in PCa.
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Affiliation(s)
- Adeline N. Boettcher
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Ahmed Usman
- Department of Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Alicia Morgans
- Department of Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - David J. VanderWeele
- Department of Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Jeffrey Sosman
- Department of Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Jennifer D. Wu
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Department of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Okada S, Vaeteewoottacharn K, Kariya R. Application of Highly Immunocompromised Mice for the Establishment of Patient-Derived Xenograft (PDX) Models. Cells 2019; 8:E889. [PMID: 31412684 PMCID: PMC6721637 DOI: 10.3390/cells8080889] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 08/09/2019] [Accepted: 08/09/2019] [Indexed: 12/11/2022] Open
Abstract
Patient-derived xenograft (PDX) models are created by engraftment of patient tumor tissues into immunocompetent mice. Since a PDX model retains the characteristics of the primary patient tumor including gene expression profiles and drug responses, it has become the most reliable in vivo human cancer model. The engraftment rate increases with the introduction of Non-obese diabetic Severe combined immunodeficiency (NOD/SCID)-based immunocompromised mice, especially the NK-deficient NOD strains NOD/SCID/interleukin-2 receptor gamma chain(IL2Rγ)null (NOG/NSG) and NOD/SCID/Jak3(Janus kinase 3)null (NOJ). Success rates differ with tumor origin: gastrointestinal tumors acquire a higher engraftment rate, while the rate is lower for breast cancers. Subcutaneous transplantation is the most popular method to establish PDX, but some tumors require specific environments, e.g., orthotropic or renal capsule transplantation. Human hormone treatment is necessary to establish hormone-dependent cancers such as prostate and breast cancers. PDX mice with human hematopoietic and immune systems (humanized PDX) are powerful tools for the analysis of tumor-immune system interaction and evaluation of immunotherapy response. A PDX biobank equipped with patients' clinical data, gene-expression patterns, mutational statuses, tumor tissue architects, and drug responsiveness will be an authoritative resource for developing specific tumor biomarkers for chemotherapeutic predictions, creating individualized therapy, and establishing precise cancer medicine.
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Affiliation(s)
- Seiji Okada
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan.
- Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-0811, Japan.
| | - Kulthida Vaeteewoottacharn
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
- Department of Biochemistry, Khon Kaen University, Khon Kaen 40002, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Ryusho Kariya
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
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69
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Immunological consequences of chemotherapy: Single drugs, combination therapies and nanoparticle-based treatments. J Control Release 2019; 305:130-154. [DOI: 10.1016/j.jconrel.2019.04.020] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/09/2019] [Accepted: 04/14/2019] [Indexed: 02/07/2023]
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Patel A, Cohen S, Moret R, Maresh G, Gobe GC, Li L. Patient-derived xenograft models to optimize kidney cancer therapies. Transl Androl Urol 2019; 8:S156-S165. [PMID: 31236333 DOI: 10.21037/tau.2018.11.04] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Renal cell carcinoma (RCC) is the most common solid neoplasm of the adult kidney and has a high potential for developing metastatic spread. Approximately 25-30% of RCC patients have metastatic disease at presentation, and 30-40% of patients develop metastases after the initial diagnosis. Advanced renal cancer is a deadly and difficult-to-treat cancer. The 5-year survival rate of patients with metastatic disease is less than 10%, partly because RCC metastases become resistant to current therapies. Pre-clinical models may help to identify the optimum therapeutic options for individual patients. Here we reviewed various mouse xenograft methods for RCC treatment screening especially patient-derived orthotopic xenograft models. Advantages and disadvantaged of some of the models are also discussed.
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Affiliation(s)
- Avi Patel
- UQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA
| | - Sarah Cohen
- UQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA
| | - Ravan Moret
- UQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA
| | - Grace Maresh
- UQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA
| | - Glenda C Gobe
- UQ NHMRC CKD.QLD CRE, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.,University of Queensland Princess Alexandra Hospital Kidney Disease Research Collaborative, Translational Research Institute, Brisbane, QLD, Australia
| | - Li Li
- UQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA
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71
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Want MY, Konstorum A, Huang RY, Jain V, Matsueda S, Tsuji T, Lugade A, Odunsi K, Koya R, Battaglia S. Neoantigens retention in patient derived xenograft models mediates autologous T cells activation in ovarian cancer. Oncoimmunology 2019; 8:e1586042. [PMID: 31069153 PMCID: PMC6492964 DOI: 10.1080/2162402x.2019.1586042] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 01/17/2019] [Accepted: 02/15/2019] [Indexed: 12/12/2022] Open
Abstract
Ovarian cancer (OC) has an overall modest number of mutations that facilitate a functional immune infiltrate able to recognize tumor mutated antigens, or neoantigens. Although patient-derived xenografts (PDXs) can partially model the tumor mutational load and mimic response to chemotherapy, no study profiled a neoantigen-driven response in OC PDXs. Here we demonstrate that the genomic status of the primary tumor from an OC patient can be recapitulated in vivo in a PDX model, with the goal of defining autologous T cells activation by neoantigens using in silico, in vitro and in vivo approaches. By profiling the PDX mutanome we discovered three main clusters of mutations defining the expansion, retraction or conservation of tumor clones based on their variant allele frequencies (VAF). RNASeq analyses revealed a strong functional conservation between the primary tumor and PDXs, highlighted by the upregulation of antigen presenting pathways. We tested in vitro a set of 30 neoantigens for recognition by autologous T cells and identified a core of six neoantigens that define a potent T cell activation able to slow tumor growth in vivo. The pattern of recognition of these six neoantigens indicates the pre-existence of anti-tumor immunity in the patient. To evaluate the breadth of T cell activation, we performed single cell sequencing profiling the TCR repertoire upon stimulation with neoantigenic moieties and identified sequence motifs that define an oligoclonal and autologous T cell response. Overall, these results indicate that OC PDXs can be a valid tool to model OC response to immunotherapy.
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Affiliation(s)
| | - Anna Konstorum
- Center for Quantitative Medicine, UConn Health, Farmington, CT, USA
| | - Ruea-Yea Huang
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Vaibhav Jain
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Satoko Matsueda
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Takemasa Tsuji
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Amit Lugade
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Kunle Odunsi
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Richard Koya
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA
| | - Sebastiano Battaglia
- Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA.,Department of Cancer Genetics and Genomics, Roswell Park, Comprehensive Cancer Center, Buffalo, NY, USA
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72
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Lee NP, Chan CM, Tung LN, Wang HK, Law S. Tumor xenograft animal models for esophageal squamous cell carcinoma. J Biomed Sci 2018; 25:66. [PMID: 30157855 PMCID: PMC6116446 DOI: 10.1186/s12929-018-0468-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 08/24/2018] [Indexed: 12/12/2022] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer worldwide and highly prevalent in less developed regions. Management of ESCC is challenging and involves multimodal treatments. Patient prognosis is generally poor especially for those diagnosed in advanced disease stage. One factor contributing to this clinical dismal is the incomplete understanding of disease mechanism, for which this situation is further compounded by the presence of other limiting factors for disease diagnosis, patient prognosis and treatments. Tumor xenograft animal models including subcutaneous tumor xenograft model, orthotopic tumor xenograft model and patient-derived tumor xenograft model are vital tools for ESCC research. Establishment of tumor xenograft models involves the implantation of human ESCC cells/xenografts/tissues into immunodeficient animals, in which mice are most commonly used. Different tumor xenograft models have their own advantages and limitations, and these features serve as key factors to determine the use of these models at different stages of research. Apart from their routine use on basic research to understand disease mechanism of ESCC, tumor xenograft models are actively employed for undertaking preclinical drug screening project and biomedical imaging research.
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Affiliation(s)
- Nikki P Lee
- Department of Surgery, The University of Hong Kong, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong.
| | - Chung Man Chan
- Department of Surgery, The University of Hong Kong, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Lai Nar Tung
- Department of Surgery, The University of Hong Kong, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Hector K Wang
- Department of Surgery, The University of Hong Kong, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Simon Law
- Department of Surgery, The University of Hong Kong, Faculty of Medicine Building, 21 Sassoon Road, Pokfulam, Hong Kong
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