1
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Dutta D, Lorenzo-Martín LF, Rivest F, Broguiere N, Tillard L, Ragusa S, Brandenberg N, Höhnel S, Saugy D, Rusakiewicz S, Homicsko K, Coukos G, Lutolf MP. Probing the killing potency of tumor-infiltrating lymphocytes on microarrayed colorectal cancer tumoroids. NPJ Precis Oncol 2024; 8:179. [PMID: 39143103 PMCID: PMC11324658 DOI: 10.1038/s41698-024-00661-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 07/19/2024] [Indexed: 08/16/2024] Open
Abstract
Immunotherapy has emerged as a new standard of care for certain cancer patients with specific cellular and molecular makeups. However, there is still an unmet need for ex vivo models able to readily assess the effectiveness of immunotherapeutic treatments in a high-throughput and patient-specific manner. To address this issue, we have developed a microarrayed system of patient-derived tumoroids with recreated immune microenvironments that are optimized for the high-content evaluation of tumor-infiltrating lymphocyte functionality. Here we show that this system offers unprecedented opportunities to evaluate tumor immunogenicity, characterize the response to immunomodulators, and explore novel approaches for personalized immuno-oncology.
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Affiliation(s)
- Devanjali Dutta
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Genmab B.V., Utrecht, Netherlands
| | - L Francisco Lorenzo-Martín
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - François Rivest
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Lunaphore, Tolochenaz, Switzerland
| | - Nicolas Broguiere
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Lucie Tillard
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Simone Ragusa
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Molecular Partners AG, Zürich, Switzerland
| | - Nathalie Brandenberg
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- DOPPL, Lausanne, Switzerland
| | - Sylke Höhnel
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- SUN bioscience, Lausanne, Switzerland
| | - Damien Saugy
- The Swiss Institute for Experimental Cancer Research (ISREC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sylvie Rusakiewicz
- The Swiss Institute for Experimental Cancer Research (ISREC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Krisztian Homicsko
- The Swiss Institute for Experimental Cancer Research (ISREC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Ludwig Institute for Cancer Research, Lausanne, Switzerland
| | - George Coukos
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Ludwig Institute for Cancer Research, Lausanne, Switzerland
| | - Matthias P Lutolf
- Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
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2
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Polak R, Zhang ET, Kuo CJ. Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nat Rev Cancer 2024; 24:523-539. [PMID: 38977835 DOI: 10.1038/s41568-024-00706-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/09/2024] [Indexed: 07/10/2024]
Abstract
The development of neoplasia involves a complex and continuous interplay between malignantly transformed cells and the tumour microenvironment (TME). Cancer immunotherapies targeting the immune TME have been increasingly validated in clinical trials but response rates vary substantially between tumour histologies and are often transient, idiosyncratic and confounded by resistance. Faithful experimental models of the patient-specific tumour immune microenvironment, capable of recapitulating tumour biology and immunotherapy effects, would greatly improve patient selection, target identification and definition of resistance mechanisms for immuno-oncology therapeutics. In this Review, we discuss currently available and rapidly evolving 3D tumour organoid models that capture important immune features of the TME. We highlight diverse opportunities for organoid-based investigations of tumour immunity, drug development and precision medicine.
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Affiliation(s)
- Roel Polak
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Elisa T Zhang
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA.
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3
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Peng AY, Lee BE. Microphysiological Systems for Cancer Immunotherapy Research and Development. Adv Biol (Weinh) 2024; 8:e2300077. [PMID: 37409385 PMCID: PMC10770294 DOI: 10.1002/adbi.202300077] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/13/2023] [Indexed: 07/07/2023]
Abstract
Cancer immunotherapy focuses on the use of patients' adaptive immune systems to combat cancer. In the past decade, FDA has approved many immunotherapy products for cancer patients who suffer from primary tumors, tumor relapse, and metastases. However, these immunotherapies still show resistance in many patients and often lead to inconsistent responses in patients due to variations in tumor genetic mutations and tumor immune microenvironment. Microfluidics-based organ-on-a-chip technologies or microphysiological systems have opened new ways that can provide relatively fast screening for personalized immunotherapy and help researchers and clinicians understand tumor-immune interactions in a patient-specific manner. They also have the potential to overcome the limitations of traditional drug screening and testing, given the models provide a more realistic 3D microenvironment with better controllability, reproducibility, and physiological relevance. This review focuses on the cutting-edge microphysiological organ-on-a-chip devices developed in recent years for studying cancer immunity and testing cancer immunotherapeutic agents, as well as some of the largest challenges of translating this technology to clinical applications in immunotherapy and personalized medicine.
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Affiliation(s)
- A. Yansong Peng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - B. Esak Lee
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
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4
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Offeddu GS, Cambria E, Shelton SE, Haase K, Wan Z, Possenti L, Nguyen HT, Gillrie MR, Hickman D, Knutson CG, Kamm RD. Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Biomechanical Determinants of Drug Delivery to the Tumor. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2402757. [PMID: 39041892 DOI: 10.1002/advs.202402757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 07/01/2024] [Indexed: 07/24/2024]
Abstract
Desmoplasia in breast cancer leads to heterogeneity in physical properties of the tissue, resulting in disparities in drug delivery and treatment efficacy among patients, thus contributing to high disease mortality. Personalized in vitro breast cancer models hold great promise for high-throughput testing of therapeutic strategies to normalize the aberrant microenvironment in a patient-specific manner. Here, tumoroids assembled from breast cancer cell lines (MCF7, SKBR3, and MDA-MB-468) and patient-derived breast tumor cells (TCs) cultured in microphysiological systems including perfusable microvasculature reproduce key aspects of stromal and vascular dysfunction causing impaired drug delivery. Models containing SKBR3 and MDA-MB-468 tumoroids show higher stromal hyaluronic acid (HA) deposition, vascular permeability, interstitial fluid pressure (IFP), and degradation of vascular HA relative to models containing MCF7 tumoroids or models without tumoroids. Interleukin 8 (IL8) secretion is found responsible for vascular dysfunction and loss of vascular HA. Interventions targeting IL8 or stromal HA normalize vascular permeability, perfusion, and IFP, and ultimately enhance drug delivery and TC death in response to perfusion with trastuzumab and cetuximab. Similar responses are observed in patient-derived models. These microphysiological systems can thus be personalized by using patient-derived cells and can be applied to discover new molecular therapies for the normalization of the tumor microenvironment.
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Affiliation(s)
- Giovanni S Offeddu
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Elena Cambria
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Sarah E Shelton
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kristina Haase
- European Molecular Biology Laboratory, European Molecular Biology Laboratory Barcelona, Barcelona, 08003, Spain
| | - Zhengpeng Wan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Luca Possenti
- LaBS, Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Milan, 20133, Italy
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, 20133, Italy
| | - Huu Tuan Nguyen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Mark R Gillrie
- Department of Medicine, Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, T2N 2T9, Canada
| | - Dean Hickman
- Amgen Research, Amgen Inc., 360 Binney Street, Cambridge, MA, 02142, USA
| | - Charles G Knutson
- Amgen Research, Amgen Inc., 360 Binney Street, Cambridge, MA, 02142, USA
| | - Roger D Kamm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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5
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Gopallawa I, Gupta C, Jawa R, Cyril A, Jawa V, Chirmule N, Gujar V. Applications of Organoids in Advancing Drug Discovery and Development. J Pharm Sci 2024:S0022-3549(24)00233-8. [PMID: 39002723 DOI: 10.1016/j.xphs.2024.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/14/2024] [Accepted: 06/14/2024] [Indexed: 07/15/2024]
Abstract
Organoids are small, self-organizing three-dimensional cell cultures that are derived from stem cells or primary organs. These cultures replicate the complexity of an organ, which cannot be achieved by single-cell culture systems. Organoids can be used in testing of new drugs instead of animals. Development and validation of organoids is thus important to reduce the reliance on animals for drug testing. In this review, we have discussed the developmental and regulatory aspects of organoids and highlighted their importance in drug development. We have first summarized different types of culture-based organoid systems such as submerged Matrigel, micro-fluidic 3D cultures, inducible pluripotent stem cells, and air-liquid interface cultures. These systems help us understand the intricate interplay between cells and their surrounding milieu for identifying functions of target receptors, soluble factors, and spatial interactions. Further, we have discussed the advances in humanized severe-combined immunodeficiency mouse models and their applications in the pharmacology of immune-oncology. Since regulatory aspects are important in using organoids for drug development, we have summarized FDA and EMA regulations on organoid research to support pre-clinical studies. Finally, we have included some unique studies highlighting the use of organoids in studying infectious diseases, cancer, and fundamental biology. These studies also exemplify the latest technological advances in organoid development resulting in improved efficiency. Overall, this review comprehensively summarizes the applications of organoids in early drug development during discovery and pre-clinical studies.
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Affiliation(s)
- Indiwari Gopallawa
- Clinical Pharmacology & Safety Sciences, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, USA
| | | | - Rayan Jawa
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arya Cyril
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Vibha Jawa
- Bristol Myers Squibb, Lawrenceville, NY, USA.
| | | | - Vikramsingh Gujar
- Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
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6
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Karras F, Kunz M. Patient-derived melanoma models. Pathol Res Pract 2024; 259:155231. [PMID: 38508996 DOI: 10.1016/j.prp.2024.155231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/15/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024]
Abstract
Melanoma is a very aggressive, rapidly metastasizing tumor that has been studied intensively in the past regarding the underlying genetic and molecular mechanisms. More recently developed treatment modalities have improved response rates and overall survival of patients. However, the majority of patients suffer from secondary treatment resistance, which requires in depth analyses of the underlying mechanisms. Here, melanoma models based on patients-derived material may play an important role. Consequently, a plethora of different experimental techniques have been developed in the past years. Among these are 3D and 4D culture techniques, organotypic skin reconstructs, melanoma-on-chip models and patient-derived xenografts, Every technique has its own strengths but also weaknesses regarding throughput, reproducibility, and reflection of the human situation. Here, we provide a comprehensive overview of currently used techniques and discuss their use in different experimental settings.
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Affiliation(s)
- Franziska Karras
- Institute of Pathology, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg 39120, Germany.
| | - Manfred Kunz
- Department of Dermatology, Venereology and Allergology, University Medical Center Leipzig, Philipp-Rosenthal-Str. 23, Leipzig 04103, Germany
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7
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Iyer RR, Applegate CC, Arogundade OH, Bangru S, Berg IC, Emon B, Porras-Gomez M, Hsieh PH, Jeong Y, Kim Y, Knox HJ, Moghaddam AO, Renteria CA, Richard C, Santaliz-Casiano A, Sengupta S, Wang J, Zambuto SG, Zeballos MA, Pool M, Bhargava R, Gaskins HR. Inspiring a convergent engineering approach to measure and model the tissue microenvironment. Heliyon 2024; 10:e32546. [PMID: 38975228 PMCID: PMC11226808 DOI: 10.1016/j.heliyon.2024.e32546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/22/2024] [Accepted: 06/05/2024] [Indexed: 07/09/2024] Open
Abstract
Understanding the molecular and physical complexity of the tissue microenvironment (TiME) in the context of its spatiotemporal organization has remained an enduring challenge. Recent advances in engineering and data science are now promising the ability to study the structure, functions, and dynamics of the TiME in unprecedented detail; however, many advances still occur in silos that rarely integrate information to study the TiME in its full detail. This review provides an integrative overview of the engineering principles underlying chemical, optical, electrical, mechanical, and computational science to probe, sense, model, and fabricate the TiME. In individual sections, we first summarize the underlying principles, capabilities, and scope of emerging technologies, the breakthrough discoveries enabled by each technology and recent, promising innovations. We provide perspectives on the potential of these advances in answering critical questions about the TiME and its role in various disease and developmental processes. Finally, we present an integrative view that appreciates the major scientific and educational aspects in the study of the TiME.
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Affiliation(s)
- Rishyashring R. Iyer
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Catherine C. Applegate
- Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Opeyemi H. Arogundade
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Sushant Bangru
- Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Ian C. Berg
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Bashar Emon
- Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Marilyn Porras-Gomez
- Department of Materials Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Pei-Hsuan Hsieh
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Yoon Jeong
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Yongdeok Kim
- Department of Materials Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Hailey J. Knox
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Amir Ostadi Moghaddam
- Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Carlos A. Renteria
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Craig Richard
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Ashlie Santaliz-Casiano
- Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Sourya Sengupta
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Jason Wang
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Samantha G. Zambuto
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Maria A. Zeballos
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Marcia Pool
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Rohit Bhargava
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Chemical and Biochemical Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- NIH/NIBIB P41 Center for Label-free Imaging and Multiscale Biophotonics (CLIMB), University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - H. Rex Gaskins
- Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Biomedical and Translational Sciences, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Pathobiology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
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8
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Liu C, Li K, Sui X, Zhao T, Zhang T, Chen Z, Wu H, Li C, Li H, Yang F, Liu Z, Lu YY, Wang J, Chen X, Liu P. Patient-Derived Tumor Organoids Combined with Function-Associated ScRNA-Seq for Dissecting the Local Immune Response of Lung Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400185. [PMID: 38896792 DOI: 10.1002/advs.202400185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 06/03/2024] [Indexed: 06/21/2024]
Abstract
In vitro models coupled with multimodal approaches are needed to dissect the dynamic response of local tumor immune microenvironment (TIME) to immunotherapy. Here the patient-derived primary lung cancer organoids (pLCOs) are generated by isolating tumor cell clusters, including the infiltrated immune cells. A function-associated single-cell RNA sequencing (FascRNA-seq) platform allowing both phenotypic evaluation and scRNA-seq at single-organoid level is developed to dissect the TIME of individual pLCOs. The analysis of 171 individual pLCOs derived from seven patients reveals that pLCOs retain the TIME heterogeneity in the parenchyma of parental tumor tissues, providing models with identical genetic background but various TIME. Linking the scRNA-seq data of individual pLCOs with their responses to anti-PD-1 (αPD-1) immune checkpoint blockade (ICB) allows to confirm the central role of CD8+ T cells in anti-tumor immunity, to identify potential tumor-reactive T cells with a set of 10 genes, and to unravel the factors regulating T cell activity, including CD99 gene. In summary, the study constructs a joint phenotypic and transcriptomic FascRNA-seq platform to dissect the dynamic response of local TIME under ICB treatment, providing a promising approach to evaluate novel immunotherapies and to understand the underlying molecular mechanisms.
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Affiliation(s)
- Chang Liu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Kaiyi Li
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Xizhao Sui
- Department of Thoracic Surgery, People's Hospital, Peking University, Beijing, 100034, China
| | - Tian Zhao
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Ting Zhang
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Zhongyao Chen
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Hainan Wu
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Chao Li
- Department of Thoracic Surgery, People's Hospital, Peking University, Beijing, 100034, China
| | - Hao Li
- Department of Thoracic Surgery, People's Hospital, Peking University, Beijing, 100034, China
| | - Fan Yang
- Department of Thoracic Surgery, People's Hospital, Peking University, Beijing, 100034, China
| | - Zhidong Liu
- Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101125, China
| | - You-Yong Lu
- Laboratory of Molecular Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), School of Oncology, Beijing Cancer Hospital and Institute, Peking University, Beijing, 100142, China
| | - Jun Wang
- Department of Thoracic Surgery, People's Hospital, Peking University, Beijing, 100034, China
| | - Xiaofang Chen
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Peng Liu
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
- Changping Laboratory, Beijing, 102299, China
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9
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Morel VJ, Rössler J, Bernasconi M. Targeted immunotherapy and nanomedicine for rhabdomyosarcoma: The way of the future. Med Res Rev 2024. [PMID: 38885148 DOI: 10.1002/med.22059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 04/17/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024]
Abstract
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood. Histology separates two main subtypes: embryonal RMS (eRMS; 60%-70%) and alveolar RMS (aRMS; 20%-30%). The aggressive aRMS carry one of two characteristic chromosomal translocations that result in the expression of a PAX3::FOXO1 or PAX7::FOXO1 fusion transcription factor; therefore, aRMS are now classified as fusion-positive (FP) RMS. Embryonal RMS have a better prognosis and are clinically indistinguishable from fusion-negative (FN) RMS. Next to histology and molecular characteristics, RMS risk groupings are now available defining low risk tumors with excellent outcomes and advanced stage disease with poor prognosis, with an overall survival of about only 20% despite intensified multimodal treatment. Therefore, development of novel effective targeted strategies to increase survival and to decrease long-term side effects is urgently needed. Recently, immunotherapies and nanomedicine have been emerging for potent and effective tumor treatments with minimal side effects, raising hopes for effective and safe cures for RMS patients. This review aims to describe the most relevant preclinical and clinical studies in immunotherapy and targeted nanomedicine performed so far in RMS and to provide an insight in future developments.
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Affiliation(s)
- Victoria Judith Morel
- Department of Pediatric Hematology and Oncology, Inselspital, Bern University Hospital, Bern, Switzerland
- Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Jochen Rössler
- Department of Pediatric Hematology and Oncology, Inselspital, Bern University Hospital, Bern, Switzerland
- Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Michele Bernasconi
- Department of Pediatric Hematology and Oncology, Inselspital, Bern University Hospital, Bern, Switzerland
- Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
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10
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Goto A, Moriya Y, Nakayama M, Iwasaki S, Yamamoto S. DMPK perspective on quantitative model analysis for chimeric antigen receptor cell therapy: Advances and challenges. Drug Metab Pharmacokinet 2024; 56:101003. [PMID: 38843652 DOI: 10.1016/j.dmpk.2024.101003] [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: 11/01/2023] [Revised: 01/26/2024] [Accepted: 02/10/2024] [Indexed: 06/24/2024]
Abstract
Chimeric antigen receptor (CAR) cells are genetically engineered immune cells that specifically target tumor-associated antigens and have revolutionized cancer treatment, particularly in hematological malignancies, with ongoing investigations into their potential applications in solid tumors. This review provides a comprehensive overview of the current status and challenges in drug metabolism and pharmacokinetics (DMPK) for CAR cell therapy, specifically emphasizing on quantitative modeling and simulation (M&S). Furthermore, the recent advances in quantitative model analysis have been reviewed, ranging from clinical data characterization to mechanism-based modeling that connects in vitro and in vivo nonclinical and clinical study data. Additionally, the future perspectives and areas for improvement in CAR cell therapy translation have been reviewed. This includes using formulation quality considerations, characterization of appropriate animal models, refinement of in vitro models for bottom-up approaches, and enhancement of quantitative bioanalytical methodology. Addressing these challenges within a DMPK framework is pivotal in facilitating the translation of CAR cell therapy, ultimately enhancing the patients' lives through efficient CAR cell therapies.
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Affiliation(s)
- Akihiko Goto
- Center of Excellence for Drug Metabolism, Pharmacokinetics and Modeling, Preclinical and Translational Sciences, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Yuu Moriya
- Center of Excellence for Drug Metabolism, Pharmacokinetics and Modeling, Preclinical and Translational Sciences, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Miyu Nakayama
- Center of Excellence for Drug Metabolism, Pharmacokinetics and Modeling, Preclinical and Translational Sciences, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Shinji Iwasaki
- Center of Excellence for Drug Metabolism, Pharmacokinetics and Modeling, Preclinical and Translational Sciences, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Syunsuke Yamamoto
- Center of Excellence for Drug Metabolism, Pharmacokinetics and Modeling, Preclinical and Translational Sciences, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan.
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11
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Zhang Z, Yu C, Wu Y, Wang Z, Xu H, Yan Y, Zhan Z, Yin S. Semiconducting polymer dots for multifunctional integrated nanomedicine carriers. Mater Today Bio 2024; 26:101028. [PMID: 38590985 PMCID: PMC11000120 DOI: 10.1016/j.mtbio.2024.101028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/09/2024] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
The expansion applications of semiconducting polymer dots (Pdots) among optical nanomaterial field have long posed a challenge for researchers, promoting their intelligent application in multifunctional nano-imaging systems and integrated nanomedicine carriers for diagnosis and treatment. Despite notable progress, several inadequacies still persist in the field of Pdots, including the development of simplified near-infrared (NIR) optical nanoprobes, elucidation of their inherent biological behavior, and integration of information processing and nanotechnology into biomedical applications. This review aims to comprehensively elucidate the current status of Pdots as a classical nanophotonic material by discussing its advantages and limitations in terms of biocompatibility, adaptability to microenvironments in vivo, etc. Multifunctional integration and surface chemistry play crucial roles in realizing the intelligent application of Pdots. Information visualization based on their optical and physicochemical properties is pivotal for achieving detection, sensing, and labeling probes. Therefore, we have refined the underlying mechanisms and constructed multiple comprehensive original mechanism summaries to establish a benchmark. Additionally, we have explored the cross-linking interactions between Pdots and nanomedicine, potential yet complete biological metabolic pathways, future research directions, and innovative solutions for integrating diagnosis and treatment strategies. This review presents the possible expectations and valuable insights for advancing Pdots, specifically from chemical, medical, and photophysical practitioners' standpoints.
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Affiliation(s)
- Ze Zhang
- Department of Hepatobiliary and Pancreatic Surgery II, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin 130012, PR China
| | - Chenhao Yu
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Yuyang Wu
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Zhe Wang
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Haotian Xu
- Department of Hepatobiliary and Pancreatic Surgery, The Third Bethune Hospital of Jilin University, Changchun, Jilin 130000, PR China
| | - Yining Yan
- Department of Radiology, The Third Bethune Hospital of Jilin University, Changchun, Jilin 130000, PR China
| | - Zhixin Zhan
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin 130012, PR China
| | - Shengyan Yin
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
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12
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Kim SE, Yun S, Doh J, Kim HN. Imaging-Based Efficacy Evaluation of Cancer Immunotherapy in Engineered Tumor Platforms and Tumor Organoids. Adv Healthc Mater 2024:e2400475. [PMID: 38815251 DOI: 10.1002/adhm.202400475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/16/2024] [Indexed: 06/01/2024]
Abstract
Cancer immunotherapy is used to treat tumors by modulating the immune system. Although the anticancer efficacy of cancer immunotherapy has been evaluated prior to clinical trials, conventional in vivo animal and endpoint models inadequately replicate the intricate process of tumor elimination and reflect human-specific immune systems. Therefore, more sophisticated models that mimic the complex tumor-immune microenvironment must be employed to assess the effectiveness of immunotherapy. Additionally, using real-time imaging technology, a step-by-step evaluation can be applied, allowing for a more precise assessment of treatment efficacy. Here, an overview of the various imaging-based evaluation platforms recently developed for cancer immunotherapeutic applications is presented. Specifically, a fundamental technique is discussed for stably observing immune cell-based tumor cell killing using direct imaging, a microwell that reproduces a confined space for spatial observation, a droplet assay that facilitates cell-cell interactions, and a 3D microphysiological system that reconstructs the vascular environment. Furthermore, it is suggested that future evaluation platforms pursue more human-like immune systems.
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Affiliation(s)
- Seong-Eun Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea
| | - Suji Yun
- Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 08826, South Korea
| | - Junsang Doh
- Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 08826, South Korea
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Institute of Engineering Research, Bio-MAX institute, Soft Foundry Institute, Seoul National University, Seoul, 08826, South Korea
| | - Hong Nam Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, 03722, Republic of Korea
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13
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Veith I, Nurmik M, Mencattini A, Damei I, Lansche C, Brosseau S, Gropplero G, Corgnac S, Filippi J, Poté N, Guenzi E, Chassac A, Mordant P, Tosello J, Sedlik C, Piaggio E, Girard N, Camonis J, Shirvani H, Mami-Chouaib F, Mechta-Grigoriou F, Descroix S, Martinelli E, Zalcman G, Parrini MC. Assessing personalized responses to anti-PD-1 treatment using patient-derived lung tumor-on-chip. Cell Rep Med 2024; 5:101549. [PMID: 38703767 PMCID: PMC11148770 DOI: 10.1016/j.xcrm.2024.101549] [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: 10/28/2023] [Revised: 02/29/2024] [Accepted: 04/10/2024] [Indexed: 05/06/2024]
Abstract
There is a compelling need for approaches to predict the efficacy of immunotherapy drugs. Tumor-on-chip technology exploits microfluidics to generate 3D cell co-cultures embedded in hydrogels that recapitulate simplified tumor ecosystems. Here, we present the development and validation of lung tumor-on-chip platforms to quickly and precisely measure ex vivo the effects of immune checkpoint inhibitors on T cell-mediated cancer cell death by exploiting the power of live imaging and advanced image analysis algorithms. The integration of autologous immunosuppressive FAP+ cancer-associated fibroblasts impaired the response to anti-PD-1, indicating that tumors-on-chips are capable of recapitulating stroma-dependent mechanisms of immunotherapy resistance. For a small cohort of non-small cell lung cancer patients, we generated personalized tumors-on-chips with their autologous primary cells isolated from fresh tumor samples, and we measured the responses to anti-PD-1 treatment. These results support the power of tumor-on-chip technology in immuno-oncology research and open a path to future clinical validations.
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Affiliation(s)
- Irina Veith
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France; Institut Roche, 30 Cours de l'Île Seguin, 92100 Boulogne-Billancourt, France
| | - Martin Nurmik
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France
| | - Arianna Mencattini
- Department of Electronic Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Isabelle Damei
- INSERM UMR 1186, Integrative Tumor Immunology and Immunotherapy, Gustave Roussy, Fac. de Médecine - Université Paris-Sud, Université Paris-Saclay, 94805 Villejuif, France
| | - Christine Lansche
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France
| | - Solenn Brosseau
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France; Université Paris Cité, Thoracic Oncology Department and CIC INSERM 1425, Hôpital Bichat-Claude Bernard, 75018 Paris, France
| | - Giacomo Gropplero
- Institut Curie, CNRS UMR168, Laboratoire Physico Chimie Curie, Institut Pierre-Gilles de Gennes, PSL Research University, 75005 Paris, France
| | - Stéphanie Corgnac
- INSERM UMR 1186, Integrative Tumor Immunology and Immunotherapy, Gustave Roussy, Fac. de Médecine - Université Paris-Sud, Université Paris-Saclay, 94805 Villejuif, France
| | - Joanna Filippi
- Department of Electronic Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Nicolas Poté
- Université Paris Cité, INSERM UMR1152, Hôpital Bichat-Claude Bernard, 75018 Paris, France; Department of Pathology, Hôpital Bichat-Claude Bernard, 75018 Paris, France
| | - Edouard Guenzi
- Université Paris Cité, INSERM UMR1152, Hôpital Bichat-Claude Bernard, 75018 Paris, France; Department of Pathology, Hôpital Bichat-Claude Bernard, 75018 Paris, France
| | - Anaïs Chassac
- Department of Pathology, Hôpital Bichat-Claude Bernard, 75018 Paris, France
| | - Pierre Mordant
- Université Paris Cité, Thoracic Surgery Department, Hôpital Bichat-Claude Bernard, 75018 Paris, France
| | - Jimena Tosello
- INSERM U932, PSL Research University, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Christine Sedlik
- INSERM U932, PSL Research University, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Eliane Piaggio
- INSERM U932, PSL Research University, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Nicolas Girard
- INSERM U932, PSL Research University, Institut Curie Research Center, Paris, France; Institut Curie, Institut du Thorax Curie Montsouris, Paris, France; Paris Saclay University, UVSQ, Versailles, France
| | - Jacques Camonis
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France
| | - Hamasseh Shirvani
- Institut Roche, 30 Cours de l'Île Seguin, 92100 Boulogne-Billancourt, France
| | - Fathia Mami-Chouaib
- INSERM UMR 1186, Integrative Tumor Immunology and Immunotherapy, Gustave Roussy, Fac. de Médecine - Université Paris-Sud, Université Paris-Saclay, 94805 Villejuif, France
| | - Fatima Mechta-Grigoriou
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France
| | - Stéphanie Descroix
- Institut Curie, CNRS UMR168, Laboratoire Physico Chimie Curie, Institut Pierre-Gilles de Gennes, PSL Research University, 75005 Paris, France
| | - Eugenio Martinelli
- Department of Electronic Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Gérard Zalcman
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France; Université Paris Cité, Thoracic Oncology Department and CIC INSERM 1425, Hôpital Bichat-Claude Bernard, 75018 Paris, France.
| | - Maria Carla Parrini
- Institut Curie, INSERM U830, Stress and Cancer Laboratory, PSL Research University, 26 rue d'Ulm, 75005 Paris, France.
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14
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Tani T, Mathsyaraja H, Campisi M, Li ZH, Haratani K, Fahey CG, Ota K, Mahadevan NR, Shi Y, Saito S, Mizuno K, Thai TC, Sasaki N, Homme M, Yusuf CFB, Kashishian A, Panchal J, Wang M, Wolf BJ, Barbie TU, Paweletz CP, Gokhale PC, Liu D, Uppaluri R, Kitajima S, Cain J, Barbie DA. TREX1 Inactivation Unleashes Cancer Cell STING-Interferon Signaling and Promotes Antitumor Immunity. Cancer Discov 2024; 14:752-765. [PMID: 38227896 PMCID: PMC11062818 DOI: 10.1158/2159-8290.cd-23-0700] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 11/28/2023] [Accepted: 01/08/2024] [Indexed: 01/18/2024]
Abstract
A substantial fraction of cancers evade immune detection by silencing Stimulator of Interferon Genes (STING)-Interferon (IFN) signaling. Therapeutic reactivation of this program via STING agonists, epigenetic, or DNA-damaging therapies can restore antitumor immunity in multiple preclinical models. Here we show that adaptive induction of three prime exonuclease 1 (TREX1) restrains STING-dependent nucleic acid sensing in cancer cells via its catalytic function in degrading cytosolic DNA. Cancer cell TREX1 expression is coordinately induced with STING by autocrine IFN and downstream STAT1, preventing signal amplification. TREX1 inactivation in cancer cells thus unleashes STING-IFN signaling, recruiting T and natural killer (NK) cells, sensitizing to NK cell-derived IFNγ, and cooperating with programmed cell death protein 1 blockade in multiple mouse tumor models to enhance immunogenicity. Targeting TREX1 may represent a complementary strategy to induce cytosolic DNA and amplify cancer cell STING-IFN signaling as a means to sensitize tumors to immune checkpoint blockade (ICB) and/or cell therapies. SIGNIFICANCE STING-IFN signaling in cancer cells promotes tumor cell immunogenicity. Inactivation of the DNA exonuclease TREX1, which is adaptively upregulated to limit pathway activation in cancer cells, recruits immune effector cells and primes NK cell-mediated killing. Targeting TREX1 has substantial therapeutic potential to amplify cancer cell immunogenicity and overcome ICB resistance. This article is featured in Selected Articles from This Issue, p. 695.
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Affiliation(s)
- Tetsuo Tani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Contributed equally
| | | | - Marco Campisi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ze-Hua Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Koji Haratani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Caroline G. Fahey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Keiichi Ota
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Navin R. Mahadevan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Yingxiao Shi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shin Saito
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kei Mizuno
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tran C. Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nobunari Sasaki
- Department of Cell Biology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Mizuki Homme
- Department of Cell Biology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Choudhury Fabliha B. Yusuf
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Min Wang
- Gilead Sciences, Foster City, CA, USA
| | | | - Thanh U. Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Cloud P. Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Prafulla C Gokhale
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - David Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ravindra Uppaluri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shunsuke Kitajima
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Cell Biology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | | | - David A. Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
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15
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Horowitz LF, Rodriguez-Mias R, Zhu S, Gottshall NR, Stepanov I, Stiles C, Yeung M, Nguyen TN, Lockhart EJ, Yeung RS, Villen J, Gujral TS, Folch A. Microdissected tumor cuboids: a microscale cancer model that retains a complex tumor microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.22.586189. [PMID: 38585935 PMCID: PMC10996559 DOI: 10.1101/2024.03.22.586189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Present cancer disease models - typically based on cell cultures and animal models that lack the human tumor microenvironment (TME) - are extremely poor predictors of human disease outcomes. Microscale cancer models that combine the micromanipulation of tissues and fluids offer the exciting possibility of miniaturizing the drug testing workflow, enabling inexpensive, more efficient tests of high clinical biomimicry that maximize the use of scarce human tissue and minimize animal testing. Critically, these microscale models allow for precisely addressing the impact of the structural features of the heterogeneous TME to properly target and understand the contributions of these unique zones to therapeutic response. We have recently developed a precision slicing method that yields large numbers of cuboidal micro-tissues ("cuboids", ∼ (400 µm) 3 ) from a single tumor biopsy. Here we evaluate cuboids from syngeneic mouse tumor models and human tumors, which contain native immune cells, as models for drug and immunotherapy evaluation. We characterize relevant TME parameters, such as their cellular architecture (immune cells and vasculature), cytokine secretion, proteomics profiles, and their response to drug panels in multi-well arrays. Despite the cutting procedure and the time spent in culture (up to 7 days), the cuboids display strong functional responses such as cytokine and drug responses. Overall, our results suggest that cuboids make an excellent model for applications that require the TME, such as immunotherapy drug evaluations, including for clinical trials and personalized oncology approaches.
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16
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Gottshall NR, Stepanov I, Ahmadianyazdi A, Sinha D, Lockhart E, Nguyen TN, Hassan S, Horowitz L, Yeung R, Gujral TS, Folch A. Micromanipulation of Live Microdissected Tissues with a Low-Cost Integrated Robotic Platform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.21.586169. [PMID: 38586030 PMCID: PMC10996467 DOI: 10.1101/2024.03.21.586169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
The small amount of human tissue available for testing is a paramount challenge in cancer drug development, cancer disease models, and personalized oncology. Technologies that combine the microscale manipulation of tissues with fluid handling offer the exciting possibility of miniaturizing and automating drug evaluation workflows. This approach minimizes animal testing and enables inexpensive, more efficient testing of samples with high clinical biomimicry using scarce materials. We have developed an inexpensive platform based on an off-the-shelf robot that can manipulate microdissected tissues (µDTs) into user-programmed positions without using intricate microfluidic designs nor any other accessories such as a microscope or a pneumatic controller. The robot integrates complex functions such as vision and fluid actuation by incorporating simple items including a USB camera and a rotary pump. Through the robot's camera, the platform software optically recognizes randomly-seeded µDTs on the surface of a petri dish and positions a mechanical arm above the µDTs. Then, a custom rotary pump actuated by one of the robot's motors generates enough microfluidic lift to hydrodynamically pick and place µDTs with a pipette at a safe distance from the substrate without requiring a proximity sensor. The platform's simple, integrated construction is cost-effective and compact, allowing placement inside a tissue culture hood for sterile workflows. The platform enables users to select µDTs based on their size, place them in user-programmed arrays, such as multi-well plates, and control various robot motion parameters. As a case application, we use the robotic system to conduct semi-automated drug testing of mouse and human µDTs in 384-well plates. Our user-friendly platform promises to democratize microscale tissue research to clinical and biological laboratories worldwide.
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17
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Revach OY, Cicerchia AM, Shorer O, Petrova B, Anderson S, Park J, Chen L, Mehta A, Wright SJ, McNamee N, Tal-Mason A, Cattaneo G, Tiwari P, Xie H, Sweere JM, Cheng LC, Sigal N, Enrico E, Miljkovic M, Evans SA, Nguyen N, Whidden ME, Srinivasan R, Spitzer MH, Sun Y, Sharova T, Lawless AR, Michaud WA, Rasmussen MQ, Fang J, Palin CA, Chen F, Wang X, Ferrone CR, Lawrence DP, Sullivan RJ, Liu D, Sachdeva UM, Sen DR, Flaherty KT, Manguso RT, Bod L, Kellis M, Boland GM, Yizhak K, Yang J, Kanarek N, Sade-Feldman M, Hacohen N, Jenkins RW. Disrupting CD38-driven T cell dysfunction restores sensitivity to cancer immunotherapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579184. [PMID: 38405985 PMCID: PMC10888727 DOI: 10.1101/2024.02.12.579184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A central problem in cancer immunotherapy with immune checkpoint blockade (ICB) is the development of resistance, which affects 50% of patients with metastatic melanoma1,2. T cell exhaustion, resulting from chronic antigen exposure in the tumour microenvironment, is a major driver of ICB resistance3. Here, we show that CD38, an ecto-enzyme involved in nicotinamide adenine dinucleotide (NAD+) catabolism, is highly expressed in exhausted CD8+ T cells in melanoma and is associated with ICB resistance. Tumour-derived CD38hiCD8+ T cells are dysfunctional, characterised by impaired proliferative capacity, effector function, and dysregulated mitochondrial bioenergetics. Genetic and pharmacological blockade of CD38 in murine and patient-derived organotypic tumour models (MDOTS/PDOTS) enhanced tumour immunity and overcame ICB resistance. Mechanistically, disrupting CD38 activity in T cells restored cellular NAD+ pools, improved mitochondrial function, increased proliferation, augmented effector function, and restored ICB sensitivity. Taken together, these data demonstrate a role for the CD38-NAD+ axis in promoting T cell exhaustion and ICB resistance, and establish the efficacy of CD38 directed therapeutic strategies to overcome ICB resistance using clinically relevant, patient-derived 3D tumour models.
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Affiliation(s)
- Or-Yam Revach
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Angelina M. Cicerchia
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ofir Shorer
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Boryana Petrova
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Seth Anderson
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joshua Park
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lee Chen
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Arnav Mehta
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Niamh McNamee
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Aya Tal-Mason
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Giulia Cattaneo
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Payal Tiwari
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hongyan Xie
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | | | | | | | | | | | | | - Matthew H. Spitzer
- Teiko Bio, Salt Lake City, UT, USA
- Department of Otolaryngology-Head and Neck Cancer, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Yi Sun
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Tatyana Sharova
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Aleigha R. Lawless
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - William A. Michaud
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Q. Rasmussen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jacy Fang
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Claire A. Palin
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Feng Chen
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Xinhui Wang
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Cristina R. Ferrone
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
- Department of Surgery, Cedars-Sinai Medical Center Los Angeles, CA, USA
| | - Donald P. Lawrence
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ryan J. Sullivan
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David Liu
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Uma M. Sachdeva
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Debattama R. Sen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Keith T. Flaherty
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Robert T. Manguso
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lloyd Bod
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manolis Kellis
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Genevieve M. Boland
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Jiekun Yang
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Naama Kanarek
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Moshe Sade-Feldman
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nir Hacohen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Russell W. Jenkins
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
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18
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Guo L, Li C, Gong W. Toward reproducible tumor organoid culture: focusing on primary liver cancer. Front Immunol 2024; 15:1290504. [PMID: 38571961 PMCID: PMC10987700 DOI: 10.3389/fimmu.2024.1290504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 02/29/2024] [Indexed: 04/05/2024] Open
Abstract
Organoids present substantial potential for pushing forward preclinical research and personalized medicine by accurately recapitulating tissue and tumor heterogeneity in vitro. However, the lack of standardized protocols for cancer organoid culture has hindered reproducibility. This paper comprehensively reviews the current challenges associated with cancer organoid culture and highlights recent multidisciplinary advancements in the field with a specific focus on standardizing liver cancer organoid culture. We discuss the non-standardized aspects, including tissue sources, processing techniques, medium formulations, and matrix materials, that contribute to technical variability. Furthermore, we emphasize the need to establish reproducible platforms that accurately preserve the genetic, proteomic, morphological, and pharmacotypic features of the parent tumor. At the end of each section, our focus shifts to organoid culture standardization in primary liver cancer. By addressing these challenges, we can enhance the reproducibility and clinical translation of cancer organoid systems, enabling their potential applications in precision medicine, drug screening, and preclinical research.
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Affiliation(s)
| | | | - Weiqiang Gong
- Department of Hepatobiliary and Pancreatic Surgery, Weifang People’s Hospital, Weifang, Shandong, China
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19
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Wang Y, Buck A, Piel B, Zerefa L, Murugan N, Coherd CD, Miklosi AG, Johal H, Bastos RN, Huang K, Ficial M, Laimon YN, Signoretti S, Zhong Z, Hoang SM, Kastrunes GM, Grimaud M, Fayed A, Yuan HC, Nguyen QD, Thai T, Ivanova EV, Paweletz CP, Wu MR, Choueiri TK, Wee JO, Freeman GJ, Barbie DA, Marasco WA. Affinity fine-tuning anti-CAIX CAR-T cells mitigate on-target off-tumor side effects. Mol Cancer 2024; 23:56. [PMID: 38491381 PMCID: PMC10943873 DOI: 10.1186/s12943-024-01952-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/31/2024] [Indexed: 03/18/2024] Open
Abstract
One of the major hurdles that has hindered the success of chimeric antigen receptor (CAR) T cell therapies against solid tumors is on-target off-tumor (OTOT) toxicity due to sharing of the same epitopes on normal tissues. To elevate the safety profile of CAR-T cells, an affinity/avidity fine-tuned CAR was designed enabling CAR-T cell activation only in the presence of a highly expressed tumor associated antigen (TAA) but not when recognizing the same antigen at a physiological level on healthy cells. Using direct stochastic optical reconstruction microscopy (dSTORM) which provides single-molecule resolution, and flow cytometry, we identified high carbonic anhydrase IX (CAIX) density on clear cell renal cell carcinoma (ccRCC) patient samples and low-density expression on healthy bile duct tissues. A Tet-On doxycycline-inducible CAIX expressing cell line was established to mimic various CAIX densities, providing coverage from CAIX-high skrc-59 tumor cells to CAIX-low MMNK-1 cholangiocytes. Assessing the killing of CAR-T cells, we demonstrated that low-affinity/high-avidity fine-tuned G9 CAR-T has a wider therapeutic window compared to high-affinity/high-avidity G250 that was used in the first anti-CAIX CAR-T clinical trial but displayed serious OTOT effects. To assess the therapeutic effect of G9 on patient samples, we generated ccRCC patient derived organotypic tumor spheroid (PDOTS) ex vivo cultures and demonstrated that G9 CAR-T cells exhibited superior efficacy, migration and cytokine release in these miniature tumors. Moreover, in an RCC orthotopic mouse model, G9 CAR-T cells showed enhanced tumor control compared to G250. In summary, G9 has successfully mitigated OTOT side effects and in doing so has made CAIX a druggable immunotherapeutic target.
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Affiliation(s)
- Yufei Wang
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Alicia Buck
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Brandon Piel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Luann Zerefa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Nithyassree Murugan
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Christian D Coherd
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | | | | | | | - Kun Huang
- Molecular Imaging Core, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Miriam Ficial
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Yasmin Nabil Laimon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sabina Signoretti
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | | | | | - Gabriella M Kastrunes
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Marion Grimaud
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Atef Fayed
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Hsien-Chi Yuan
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Quang-De Nguyen
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Tran Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elena V Ivanova
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Cloud P Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Ming-Ru Wu
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Toni K Choueiri
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jon O Wee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gordon J Freeman
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - David A Barbie
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Wayne A Marasco
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
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20
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Jose A, Kulkarni P, Thilakan J, Munisamy M, Malhotra AG, Singh J, Kumar A, Rangnekar VM, Arya N, Rao M. Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine. Mol Cancer 2024; 23:50. [PMID: 38461268 PMCID: PMC10924370 DOI: 10.1186/s12943-023-01916-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 12/15/2023] [Indexed: 03/11/2024] Open
Abstract
Despite advancements in treatment protocols, cancer is one of the leading cause of deaths worldwide. Therefore, there is a need to identify newer and personalized therapeutic targets along with screening technologies to combat cancer. With the advent of pan-omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and lipidomics, the scientific community has witnessed an improved molecular and metabolomic understanding of various diseases, including cancer. In addition, three-dimensional (3-D) disease models have been efficiently utilized for understanding disease pathophysiology and as screening tools in drug discovery. An integrated approach utilizing pan-omics technologies and 3-D in vitro tumor models has led to improved understanding of the intricate network encompassing various signalling pathways and molecular cross-talk in solid tumors. In the present review, we underscore the current trends in omics technologies and highlight their role in understanding genotypic-phenotypic co-relation in cancer with respect to 3-D in vitro tumor models. We further discuss the challenges associated with omics technologies and provide our outlook on the future applications of these technologies in drug discovery and precision medicine for improved management of cancer.
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Affiliation(s)
- Anmi Jose
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Pallavi Kulkarni
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jaya Thilakan
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Murali Munisamy
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Anvita Gupta Malhotra
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jitendra Singh
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Vivek M Rangnekar
- Markey Cancer Center and Department of Radiation Medicine, University of Kentucky, Lexington, KY, 40536, USA
| | - Neha Arya
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India.
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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21
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Song X, Hou K, Zhou H, Yang J, Cao T, Zhang J. Liver organoids and their application in liver cancer research. Regen Ther 2024; 25:128-137. [PMID: 38226058 PMCID: PMC10788409 DOI: 10.1016/j.reth.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/27/2023] [Accepted: 12/17/2023] [Indexed: 01/17/2024] Open
Abstract
Liver cancer, a common and intractable liver-related disease, is a malignant tumor with a high morbidity, which needs a high treatment cost but still lacks perfect clinical treatment methods. Looking for an effective platform for liver cancer study and drug screening is urgent and important. Traditional analytical methods for liver disease studies mainly rely on the 2D cell culture and animal experiments, which both cannot fully recapitulate physiological and pathological processes of human liver. For example, cell culture can only show basic functions of cells in vitro, while animal models always hold the problem of species divergence. The organoids, a 3D invitro culture system emerged in recent years, is a cell-bound body with different cell types and has partial tissue functions. The organoid technology can reveal the growth state, structure, function and characteristics of the tissue or organ, and plays an important role in reconstructing invitro experimental models that can truly simulate the human liver. In this paper, we will give a brief introduction of liver organoids and review their applications in liver cancer research, especially in liver cancer pathogenesis, drug screening, precision medicine, regenerative medicine, and other fields. We have also discussed advantages and disadvantages of organoids, as well as future directions and perspectives towards liver organoids.
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Affiliation(s)
- Xinyu Song
- Binzhou Medical University, 264003 Yantai, Shandong, China
| | - Kaifei Hou
- Binzhou Medical University, 264003 Yantai, Shandong, China
| | - Hongyan Zhou
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, 250300 Jinan, Shandong, China
| | - Jingyi Yang
- Binzhou Medical University, 264003 Yantai, Shandong, China
| | - Ting Cao
- The First Affiliated Hospital, School of Medicine, Zhejiang University, 310003 Hangzhou, Zhejiang, China
| | - Jiayu Zhang
- School of Traditional Chinese Medicine, Binzhou Medical University, 264003 Yantai, Shandong, China
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22
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Huang L, Xu Y, Wang N, Yi K, Xi X, Si H, Zhang Q, Xiang M, Rong Y, Yuan Y, Wang F. Next-Generation Preclinical Functional Testing Models in Cancer Precision Medicine: CTC-Derived Organoids. SMALL METHODS 2024; 8:e2301009. [PMID: 37882328 DOI: 10.1002/smtd.202301009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 10/10/2023] [Indexed: 10/27/2023]
Abstract
Basic and clinical cancer research requires tumor models that consistently recapitulate the characteristics of prima tumors. As ex vivo 3D cultures of patient tumor cells, patient-derived tumor organoids possess the biological properties of primary tumors and are therefore excellent preclinical models for cancer research. Patient-derived organoids can be established using primary tumor tissues, peripheral blood, pleural fluid, ascites, and other samples containing tumor cells. Circulating tumor cells acquired by non-invasive sampling feature dynamic circulation and high heterogeneity. Circulating tumor cell-derived organoids are prospective tools for the dynamic monitoring of tumor mutation evolution profiles because they reflect the heterogeneity of the original tumors to a certain extent. This review discusses the advantages and applications of patient-derived organoids. Meanwhile, this work highlights the biological functions of circulating tumor cells, the latest advancement in research of circulating tumor cell-derived organoids, and potential application and challenges of this technology.
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Affiliation(s)
- Lanxiang Huang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yaqi Xu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Na Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xiaodan Xi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Huaqi Si
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qian Zhang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ming Xiang
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yuan Rong
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yufeng Yuan
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, 430071, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, 430071, China
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23
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Song F, Chen Z. Preclinical liver cancer models in the context of immunoprecision therapy: Application and perspectives. Shijie Huaren Xiaohua Zazhi 2023; 31:989-1000. [DOI: 10.11569/wcjd.v31.i24.989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/21/2023] [Accepted: 12/20/2023] [Indexed: 12/28/2023] Open
Abstract
Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality globally, continues to pose challenges in achieving optimal treatment outcomes. The complex nature of HCC, characterized by high spatiotemporal heterogeneity, invasive potential, and drug resistance, presents difficulties in its research. Consequently, an in-depth understanding and accurate simulation of the immune microenvironment of HCC are of paramount importance. This article comprehensively explores the application of preclinical models in HCC research, encompassing cell line models, patient-derived xenograft mouse models, genetically engineered mouse models, chemically induced models, humanized mouse models, organoid models, and microfluidic chip-based patient derived organotypic spheroids models. Each model possesses its distinct advantages and limitations in replicating the biological behavior and immune microenvironment of HCC. By scrutinizing the limitations of existing models, this paper aims to propel the development of next-generation cancer models, enabling more precise emulation of HCC characteristics. This will, in turn, facilitate the optimization of treatment strategies, drug efficacy prediction, and safety assessments, ultimately contributing to the realization of personalized and precision therapies. Additionally, this article also provides insights into future trends and challenges in the fields of tumor biology and preclinical research.
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Affiliation(s)
- Fei Song
- Department of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Zhong Chen
- Department of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, China
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24
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Ramadan Q, Hazaymeh R, Zourob M. Immunity-on-a-Chip: Integration of Immune Components into the Scheme of Organ-on-a-Chip Systems. Adv Biol (Weinh) 2023; 7:e2200312. [PMID: 36866511 DOI: 10.1002/adbi.202200312] [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: 11/18/2022] [Revised: 01/16/2023] [Indexed: 03/04/2023]
Abstract
Studying the immune system in vitro aims to understand how, when, and where the immune cells migrate/differentiate and respond to the various triggering events and the decision points along the immune response journey. It becomes evident that organ-on-a-chip (OOC) technology has a superior capability to recapitulate the cell-cell and tissue-tissue interaction in the body, with a great potential to provide tools for tracking the paracrine signaling with high spatial-temporal precision and implementing in situ real-time, non-destructive detection assays, therefore, enabling extraction of mechanistic information rather than phenotypic information. However, despite the rapid development in this technology, integration of the immune system into OOC devices stays among the least navigated tasks, with immune cells still the major missing components in the developed models. This is mainly due to the complexity of the immune system and the reductionist methodology of the OOC modules. Dedicated research in this field is demanded to establish the understanding of mechanism-based disease endotypes rather than phenotypes. Herein, we systemically present a synthesis of the state-of-the-art of immune-cantered OOC technology. We comprehensively outlined what is achieved and identified the technology gaps emphasizing the missing components required to establish immune-competent OOCs and bridge these gaps.
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Affiliation(s)
- Qasem Ramadan
- Alfaisal University, Riyadh, 11533, Kingdom of Saudi Arabia
| | - Rana Hazaymeh
- Almaarefa University, Diriyah, 13713, Kingdom of Saudi Arabia
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25
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Tian H, Ren J, Mou R, Jia Y. Application of organoids in precision immunotherapy of lung cancer (Review). Oncol Lett 2023; 26:484. [PMID: 37818130 PMCID: PMC10561155 DOI: 10.3892/ol.2023.14071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 08/18/2023] [Indexed: 10/12/2023] Open
Abstract
In immunotherapy, the immune system is modulated in order to treat cancer. Traditional two dimensional in vitro models and in vivo animal models are insufficient to simulate the complex tumor microenvironment (TME) in the original tumor. As tumor immunotherapy involves the immune system, additional tumor mimic models, such as patient-derived organoids, are required for the evaluation of the efficacy of immunotherapy. Furthermore, non-tumor components and host tumor cells in the TME may interact to promote cancer incidence, progression, drug resistance and metastasis. It is possible to produce organoid models for lung cancer by retaining endogenous stromal components (e.g., multiple immune cell types), supplying cancer-associated fibroblasts and exogenous immune cells, constructing tumor vasculature and adding other biological or chemical components that emulate the TME. Therefore, the lung cancer organoid culture platform may facilitate preclinical testing of immunotherapy drugs for lung cancer by mimicking immunotherapy responses. The present review summarizes current lung cancer organoid culture methods for TME modeling and discusses the use of lung cancer-derived organoids for the detection of lung cancer immunotherapy and individualized cancer immunotherapy.
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Affiliation(s)
- Huichuan Tian
- Department of Medical Oncology, The First Teaching Hospital of Tianjin University of Chinese Medicine, Tianjin 300381, P.R. China
- National Clinical Research Center of Chinese Acupuncture and Moxibustion, Tianjin 300381, P.R. China
| | - Jiajun Ren
- Department of Medical Oncology, The First Teaching Hospital of Tianjin University of Chinese Medicine, Tianjin 300381, P.R. China
- National Clinical Research Center of Chinese Acupuncture and Moxibustion, Tianjin 300381, P.R. China
| | - Ruiyu Mou
- Department of Medical Oncology, The First Teaching Hospital of Tianjin University of Chinese Medicine, Tianjin 300381, P.R. China
- National Clinical Research Center of Chinese Acupuncture and Moxibustion, Tianjin 300381, P.R. China
| | - Yingjie Jia
- Department of Medical Oncology, The First Teaching Hospital of Tianjin University of Chinese Medicine, Tianjin 300381, P.R. China
- National Clinical Research Center of Chinese Acupuncture and Moxibustion, Tianjin 300381, P.R. China
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26
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Guan D, Liu X, Shi Q, He B, Zheng C, Meng X. Breast cancer organoids and their applications for precision cancer immunotherapy. World J Surg Oncol 2023; 21:343. [PMID: 37884976 PMCID: PMC10601270 DOI: 10.1186/s12957-023-03231-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/14/2023] [Indexed: 10/28/2023] Open
Abstract
Immunotherapy is garnering increasing attention as a therapeutic strategy for breast cancer (BC); however, the application of precise immunotherapy in BC has not been fully studied. Further studies on BC immunotherapy have a growing demand for preclinical models that reliably recapitulate the composition and function of the tumor microenvironment (TME) of BC. However, the classic two-dimensional in vitro and animal in vivo models inadequately recapitulate the intricate TME of the original tumor. Organoid models which allow the regular culture of primitive human tumor tissue are increasingly reported that they can incorporate immune components. Therefore, organoid platforms can be used to replicate the BC-TME to achieve the immunotherapeutic reaction modeling and facilitate relevant preclinical trial. In this study, we have investigated different organoid culture methods for BC-TME modeling and their applications for precision immunotherapy in BC.
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Affiliation(s)
- Dandan Guan
- College of Medicine, Soochow University, Soochow, China
- General Surgery, Department of Breast Surgery, Cancer Center, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- Key Laboratory for Diagnosis and Treatment of Upper Limb Edema of Breast Cancer, Hangzhou, Zhejiang, China
| | - Xiaozhen Liu
- General Surgery, Department of Breast Surgery, Cancer Center, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- Key Laboratory for Diagnosis and Treatment of Upper Limb Edema of Breast Cancer, Hangzhou, Zhejiang, China
- Key Laboratory for Diagnosis and Treatment of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Qingyang Shi
- Department of Urology, Haining Central Hospital, Haining Branch of Zhejiang Provincial People's Hospital, Jiaxing, Zhejiang, China
| | - Bangjie He
- Department of General Surgery, Traditional Chinese Medicine Hospital of Zhuji, Zhuji, Zhejiang, China
| | - Chaopeng Zheng
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Xuli Meng
- General Surgery, Department of Breast Surgery, Cancer Center, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
- Key Laboratory for Diagnosis and Treatment of Upper Limb Edema of Breast Cancer, Hangzhou, Zhejiang, China.
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27
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Hermida-Prado F, Xie Y, Sherman S, Nagy Z, Russo D, Akhshi T, Chu Z, Feit A, Campisi M, Chen M, Nardone A, Guarducci C, Lim K, Font-Tello A, Lee I, García-Pedrero J, Cañadas I, Agudo J, Huang Y, Sella T, Jin Q, Tayob N, Mittendorf EA, Tolaney SM, Qiu X, Long H, Symmans WF, Lin JR, Santagata S, Bedrosian I, Yardley DA, Mayer IA, Richardson ET, Oliveira G, Wu CJ, Schuster EF, Dowsett M, Welm AL, Barbie D, Metzger O, Jeselsohn R. Endocrine Therapy Synergizes with SMAC Mimetics to Potentiate Antigen Presentation and Tumor Regression in Hormone Receptor-Positive Breast Cancer. Cancer Res 2023; 83:3284-3304. [PMID: 37450351 PMCID: PMC10543960 DOI: 10.1158/0008-5472.can-23-1711] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Immunotherapies have yet to demonstrate significant efficacy in the treatment of hormone receptor-positive (HR+) breast cancer. Given that endocrine therapy (ET) is the primary approach for treating HR+ breast cancer, we investigated the effects of ET on the tumor immune microenvironment (TME) in HR+ breast cancer. Spatial proteomics of primary HR+ breast cancer samples obtained at baseline and after ET from patients enrolled in a neoadjuvant clinical trial (NCT02764541) indicated that ET upregulated β2-microglobulin and influenced the TME in a manner that promotes enhanced immunogenicity. To gain a deeper understanding of the underlying mechanisms, the intrinsic effects of ET on cancer cells were explored, which revealed that ET plays a crucial role in facilitating the chromatin binding of RelA, a key component of the NF-κB complex. Consequently, heightened NF-κB signaling enhanced the response to interferon-gamma, leading to the upregulation of β2-microglobulin and other antigen presentation-related genes. Further, modulation of NF-κB signaling using a SMAC mimetic in conjunction with ET augmented T-cell migration and enhanced MHC-I-specific T-cell-mediated cytotoxicity. Remarkably, the combination of ET and SMAC mimetics, which also blocks prosurvival effects of NF-κB signaling through the degradation of inhibitors of apoptosis proteins, elicited tumor regression through cell autonomous mechanisms, providing additional support for their combined use in HR+ breast cancer. SIGNIFICANCE Adding SMAC mimetics to endocrine therapy enhances tumor regression in a cell autonomous manner while increasing tumor immunogenicity, indicating that this combination could be an effective treatment for HR+ patients with breast cancer.
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Affiliation(s)
- Francisco Hermida-Prado
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), IUOPA, Oviedo, Spain
- CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Yingtian Xie
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Shira Sherman
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zsuzsanna Nagy
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Douglas Russo
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tara Akhshi
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zhengtao Chu
- Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City, Utah
| | - Avery Feit
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marco Campisi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Minyue Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Immunology, Harvard Medical School, Boston, Massachusetts
| | - Agostina Nardone
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cristina Guarducci
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Klothilda Lim
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alba Font-Tello
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Irene Lee
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Juana García-Pedrero
- University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), IUOPA, Oviedo, Spain
- CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Israel Cañadas
- Blood Cell Development and Function Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Judith Agudo
- Harvard Medical School, Boston, Massachusetts
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ying Huang
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tal Sella
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Qingchun Jin
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nabihah Tayob
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Elizabeth A. Mittendorf
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sara M. Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Xintao Qiu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Jia-Ren Lin
- Ludwig Center at Harvard and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
| | - Sandro Santagata
- Ludwig Center at Harvard and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Isabelle Bedrosian
- Department of Breast Surgical Oncology, Division of Surgery, MD Anderson Cancer Center, Houston, Texas
| | - Denise A. Yardley
- Department of Medical Oncology, Sarah Cannon Cancer Center, Nashville, Tennessee
- Tennessee Oncology, Nashville, Tennessee
| | - Ingrid A. Mayer
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Edward T. Richardson
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Catherine J. Wu
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Eugene F. Schuster
- The BC Now Toby Robins Research Centre at the Institute of Cancer Research, London, United Kingdom
- Ralph Lauren Centre for BC Research, Royal Marsden Hospital, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Mitch Dowsett
- The BC Now Toby Robins Research Centre at the Institute of Cancer Research, London, United Kingdom
- Ralph Lauren Centre for BC Research, Royal Marsden Hospital, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Alana L. Welm
- Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City, Utah
| | - David Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Otto Metzger
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
| | - Rinath Jeselsohn
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts
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28
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Chan WS, Mo X, Ip PPC, Tse KY. Patient-derived organoid culture in epithelial ovarian cancers-Techniques, applications, and future perspectives. Cancer Med 2023; 12:19714-19731. [PMID: 37776168 PMCID: PMC10587945 DOI: 10.1002/cam4.6521] [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: 03/10/2023] [Revised: 07/05/2023] [Accepted: 08/30/2023] [Indexed: 10/01/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is a heterogeneous disease composed of different cell types with different molecular aberrations. Traditional cell lines and mice models cannot recapitulate the human tumor biology and tumor microenvironment (TME). Patient-derived organoids (PDOs) are freshly derived from patients' tissues and are then cultured with extracellular matrix and conditioned medium. The high concordance of epigenetic, genomic, and proteomic landscapes between the parental tumors and PDOs suggests that PDOs can provide more reliable results in studying cancer biology, allowing high throughput drug screening, and identifying their associated signaling pathways and resistance mechanisms. However, despite having a heterogeneity of cells in PDOs, some cells in TME will be lost during the culture process. Next-generation organoids have been developed to circumvent some of the limitations. Genetically engineered organoids involving targeted gene editing can facilitate the understanding of tumorigenesis and drug response. Co-culture systems where PDOs are cultured with different cell components like immune cells can allow research using immunotherapy which is otherwise impossible in conventional cell lines. In this review, the limitations of the traditional in vitro and in vivo assays, the use of PDOs, the challenges including some tips and tricks of PDO generation in EOC, and the future perspectives, will be discussed.
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Affiliation(s)
- Wai Sun Chan
- Department of Obstetrics and GynaecologyThe University of Hong KongPokfulamHong Kong SAR
| | - Xuetang Mo
- Department of Obstetrics and GynaecologyThe University of Hong KongPokfulamHong Kong SAR
| | | | - Ka Yu Tse
- Department of Obstetrics and GynaecologyThe University of Hong KongPokfulamHong Kong SAR
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29
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Gerton TJ, Green A, Campisi M, Chen M, Gjeci I, Mahadevan N, Lee CAA, Mishra R, Vo HV, Haratani K, Li ZH, Hasselblatt KT, Testino B, Connor T, Lian CG, Elias KM, Lizotte P, Ivanova EV, Barbie DA, Dinulescu DM. Development of a Patient-Derived 3D Immuno-Oncology Platform to Potentiate Immunotherapy Responses in Ascites-Derived Circulating Tumor Cells. Cancers (Basel) 2023; 15:4128. [PMID: 37627156 PMCID: PMC10452550 DOI: 10.3390/cancers15164128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/10/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is responsible for the majority of gynecology cancer-related deaths. Patients in remission often relapse with more aggressive forms of disease within 2 years post-treatment. Alternative immuno-oncology (IO) strategies, such as immune checkpoint blockade (ICB) targeting the PD-(L)1 signaling axis, have proven inefficient so far. Our aim is to utilize epigenetic modulators to maximize the benefit of personalized IO combinations in ex vivo 3D patient-derived platforms and in vivo syngeneic models. Using patient-derived tumor ascites, we optimized an ex vivo 3D screening platform (PDOTS), which employs autologous immune cells and circulating ascites-derived tumor cells, to rapidly test personalized IO combinations. Most importantly, patient responses to platinum chemotherapy and poly-ADP ribose polymerase inhibitors in 3D platforms recapitulate clinical responses. Furthermore, similar to clinical trial results, responses to ICB in PDOTS tend to be low and positively correlated with the frequency of CD3+ immune cells and EPCAM+/PD-L1+ tumor cells. Thus, the greatest response observed with anti-PD-1/anti-PD-L1 immunotherapy alone is seen in patient-derived HGSOC ascites, which present with high levels of systemic CD3+ and PD-L1+ expression in immune and tumor cells, respectively. In addition, priming with epigenetic adjuvants greatly potentiates ICB in ex vivo 3D testing platforms and in vivo tumor models. We further find that epigenetic priming induces increased tumor secretion of several key cytokines known to augment T and NK cell activation and cytotoxicity, including IL-6, IP-10 (CXCL10), KC (CXCL1), and RANTES (CCL5). Moreover, epigenetic priming alone and in combination with ICB immunotherapy in patient-derived PDOTS induces rapid upregulation of CD69, a reliable early activation of immune markers in both CD4+ and CD8+ T cells. Consequently, this functional precision medicine approach could rapidly identify personalized therapeutic combinations able to potentiate ICB, which is a great advantage, especially given the current clinical difficulty of testing a high number of potential combinations in patients.
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Affiliation(s)
- Thomas J. Gerton
- Division of Women’s and Perinatal Pathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Allen Green
- Division of Women’s and Perinatal Pathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Marco Campisi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Minyue Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Iliana Gjeci
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Navin Mahadevan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Catherine A. A. Lee
- Division of Dermatopathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ranjan Mishra
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Ha V. Vo
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Koji Haratani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ze-Hua Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kathleen T. Hasselblatt
- Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Bryanna Testino
- Division of Women’s and Perinatal Pathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Trevor Connor
- Division of Women’s and Perinatal Pathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Christine G. Lian
- Division of Dermatopathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kevin M. Elias
- Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Patrick Lizotte
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Elena V. Ivanova
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - David A. Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Daniela M. Dinulescu
- Division of Women’s and Perinatal Pathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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30
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Reynolds DS, de Lázaro I, Blache ML, Liu Y, Jeffreys NC, Doolittle RM, Grandidier E, Olszewski J, Dacus MT, Mooney DJ, Lewis JA. Microporogen-Structured Collagen Matrices for Embedded Bioprinting of Tumor Models for Immuno-Oncology. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210748. [PMID: 37163476 DOI: 10.1002/adma.202210748] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 04/10/2023] [Indexed: 05/12/2023]
Abstract
Embedded bioprinting enables the rapid design and fabrication of complex tissues that recapitulate in vivo microenvironments. However, few biological matrices enable good print fidelity, while simultaneously facilitate cell viability, proliferation, and migration. Here, a new microporogen-structured (µPOROS) matrix for embedded bioprinting is introduced, in which matrix rheology, printing behavior, and porosity are tailored by adding sacrificial microparticles composed of a gelatin-chitosan complex to a prepolymer collagen solution. To demonstrate its utility, a 3D tumor model is created via embedded printing of a murine melanoma cell ink within the µPOROS collagen matrix at 4 °C. The collagen matrix is subsequently crosslinked around the microparticles upon warming to 21 °C, followed by their melting and removal at 37 °C. This process results in a µPOROS matrix with a fibrillar collagen type-I network akin to that observed in vivo. Printed tumor cells remain viable and proliferate, while antigen-specific cytotoxic T cells incorporated in the matrix migrate to the tumor site, where they induce cell death. The integration of the µPOROS matrix with embedded bioprinting opens new avenues for creating complex tissue microenvironments in vitro that may find widespread use in drug discovery, disease modeling, and tissue engineering for therapeutic use.
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Affiliation(s)
- Daniel S Reynolds
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Irene de Lázaro
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Manon L Blache
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Yutong Liu
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Nicholas C Jeffreys
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Ramsey M Doolittle
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Estée Grandidier
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
- École Normale Supérieure de Lyon, Lyon, 69007, France
| | - Jason Olszewski
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, USA
| | - Mason T Dacus
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - David J Mooney
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Jennifer A Lewis
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
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31
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Yau JNN, Adriani G. Three-dimensional heterotypic colorectal cancer spheroid models for evaluation of drug response. Front Oncol 2023; 13:1148930. [PMID: 37469395 PMCID: PMC10352797 DOI: 10.3389/fonc.2023.1148930] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/15/2023] [Indexed: 07/21/2023] Open
Abstract
Colorectal cancer (CRC) is a leading cause of death worldwide. Improved preclinical tumor models are needed to make treatment screening clinically relevant and address disease mortality. Advancements in 3D cell culture have enabled a greater recapitulation of the architecture and heterogeneity of the tumor microenvironment (TME). This has enhanced their pathophysiological relevance and enabled more accurate predictions of tumor progression and drug response in patients. An increasing number of 3D CRC spheroid models include cell populations such as cancer-associated fibroblasts (CAFs), endothelial cells (ECs), immune cells, and gut bacteria to better mimic the in vivo regulation of signaling pathways. Furthermore, cell heterogeneity within the 3D spheroid models enables the identification of new therapeutic targets to develop alternative treatments and test TME-target therapies. In this mini review, we present the advances in mimicking tumor heterogeneity in 3D CRC spheroid models by incorporating CAFs, ECs, immune cells, and gut bacteria. We introduce how, in these models, the diverse cells influence chemoresistance and tumor progression of the CRC spheroids. We also highlight important parameters evaluated during drug screening in the CRC heterocellular spheroids.
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Affiliation(s)
- Jia Ning Nicolette Yau
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Giulia Adriani
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore
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32
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Mastini C, Campisi M, Patrucco E, Mura G, Ferreira A, Costa C, Ambrogio C, Germena G, Martinengo C, Peola S, Mota I, Vissio E, Molinaro L, Arigoni M, Olivero M, Calogero R, Prokoph N, Tabbò F, Shoji B, Brugieres L, Geoerger B, Turner SD, Cuesta-Mateos C, D’Aliberti D, Mologni L, Piazza R, Gambacorti-Passerini C, Inghirami GG, Chiono V, Kamm RD, Hirsch E, Koch R, Weinstock DM, Aster JC, Voena C, Chiarle R. Targeting CCR7-PI3Kγ overcomes resistance to tyrosine kinase inhibitors in ALK-rearranged lymphoma. Sci Transl Med 2023; 15:eabo3826. [PMID: 37379367 PMCID: PMC10804420 DOI: 10.1126/scitranslmed.abo3826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 06/02/2023] [Indexed: 06/30/2023]
Abstract
Anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) show potent efficacy in several ALK-driven tumors, but the development of resistance limits their long-term clinical impact. Although resistance mechanisms have been studied extensively in ALK-driven non-small cell lung cancer, they are poorly understood in ALK-driven anaplastic large cell lymphoma (ALCL). Here, we identify a survival pathway supported by the tumor microenvironment that activates phosphatidylinositol 3-kinase γ (PI3K-γ) signaling through the C-C motif chemokine receptor 7 (CCR7). We found increased PI3K signaling in patients and ALCL cell lines resistant to ALK TKIs. PI3Kγ expression was predictive of a lack of response to ALK TKI in patients with ALCL. Expression of CCR7, PI3Kγ, and PI3Kδ were up-regulated during ALK or STAT3 inhibition or degradation and a constitutively active PI3Kγ isoform cooperated with oncogenic ALK to accelerate lymphomagenesis in mice. In a three-dimensional microfluidic chip, endothelial cells that produce the CCR7 ligands CCL19/CCL21 protected ALCL cells from apoptosis induced by crizotinib. The PI3Kγ/δ inhibitor duvelisib potentiated crizotinib activity against ALCL lines and patient-derived xenografts. Furthermore, genetic deletion of CCR7 blocked the central nervous system dissemination and perivascular growth of ALCL in mice treated with crizotinib. Thus, blockade of PI3Kγ or CCR7 signaling together with ALK TKI treatment reduces primary resistance and the survival of persister lymphoma cells in ALCL.
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Affiliation(s)
- Cristina Mastini
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Marco Campisi
- Dana Farber Cancer Institute, Boston, MA 02115, USA
- Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Mechanical and Aerospace Engineering, Politecnico of Torino, Torino 10129, Italy
| | - Enrico Patrucco
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Giulia Mura
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Antonio Ferreira
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA 02115, USA
| | - Carlotta Costa
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Chiara Ambrogio
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Giulia Germena
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Cinzia Martinengo
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Silvia Peola
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Ines Mota
- Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Elena Vissio
- Department of Oncology, University of Torino, Orbassano, Torino 10043, Italy
| | - Luca Molinaro
- Department of Medical Science, University of Torino, Torino 10126, Italy
| | - Maddalena Arigoni
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Martina Olivero
- Department of Oncology, University of Torino, Orbassano, Torino 10043, Italy
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Torino 10060, Italy
| | - Raffaele Calogero
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Nina Prokoph
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
| | - Fabrizio Tabbò
- Department of Pathology, Cornell University, New York NY 10121, USA
| | - Brent Shoji
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA 02115, USA
| | - Laurence Brugieres
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Center, Paris-Saclay University, Villejuif 94805, France
| | - Birgit Geoerger
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Center, Paris-Saclay University, Villejuif 94805, France
- Université Paris-Saclay, INSERM U1015, Villejuif 94805, France
| | - Suzanne D. Turner
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Faculty of Medicine, Masaryk University, Brno 601 77, Czech Republic
| | - Carlos Cuesta-Mateos
- Department of Pre-Clinical Development, Catapult Therapeutics B.V., 8243 RC, Lelystad, Netherlands
| | - Deborah D’Aliberti
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza 20900, Italy
| | - Luca Mologni
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza 20900, Italy
| | - Rocco Piazza
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza 20900, Italy
| | | | | | - Valeria Chiono
- Department of Mechanical and Aerospace Engineering, Politecnico of Torino, Torino 10129, Italy
| | - Roger D. Kamm
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Emilio Hirsch
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Raphael Koch
- Dana Farber Cancer Institute, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- University Medical Center Göttingen, 37075 Göttingen, Germany
| | - David M. Weinstock
- Dana Farber Cancer Institute, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Jon C. Aster
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA 02115, USA
| | - Claudia Voena
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
| | - Roberto Chiarle
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy
- Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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33
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Wu KZ, Adine C, Mitriashkin A, Aw BJJ, Iyer NG, Fong ELS. Making In Vitro Tumor Models Whole Again. Adv Healthc Mater 2023; 12:e2202279. [PMID: 36718949 DOI: 10.1002/adhm.202202279] [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: 09/06/2022] [Revised: 01/04/2023] [Indexed: 02/01/2023]
Abstract
As a reductionist approach, patient-derived in vitro tumor models are inherently still too simplistic for personalized drug testing as they do not capture many characteristics of the tumor microenvironment (TME), such as tumor architecture and stromal heterogeneity. This is especially problematic for assessing stromal-targeting drugs such as immunotherapies in which the density and distribution of immune and other stromal cells determine drug efficacy. On the other end, in vivo models are typically costly, low-throughput, and time-consuming to establish. Ex vivo patient-derived tumor explant (PDE) cultures involve the culture of resected tumor fragments that potentially retain the intact TME of the original tumor. Although developed decades ago, PDE cultures have not been widely adopted likely because of their low-throughput and poor long-term viability. However, with growing recognition of the importance of patient-specific TME in mediating drug response, especially in the field of immune-oncology, there is an urgent need to resurrect these holistic cultures. In this Review, the key limitations of patient-derived tumor explant cultures are outlined and technologies that have been developed or could be employed to address these limitations are discussed. Engineered holistic tumor explant cultures may truly realize the concept of personalized medicine for cancer patients.
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Affiliation(s)
- Kenny Zhuoran Wu
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Christabella Adine
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Aleksandr Mitriashkin
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Benjamin Jun Jie Aw
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - N Gopalakrishna Iyer
- Department of Head and Neck Surgery, Division of Surgery and Surgical Oncology, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, 169610, Singapore
| | - Eliza Li Shan Fong
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore, 117456, Singapore
- Cancer Science Institute (CSI), National University of Singapore, Singapore, 117599, Singapore
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Chen K, Li Y, Wang B, Yan X, Tao Y, Song W, Xi Z, He K, Xia Q. Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction. Front Immunol 2023; 14:1101324. [PMID: 37215109 PMCID: PMC10192760 DOI: 10.3389/fimmu.2023.1101324] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/24/2023] [Indexed: 05/24/2023] Open
Abstract
Liver cancer is an aggressive tumor originating in the liver with a dismal prognosis. Current evidence suggests that liver cancer is the fifth most prevalent cancer worldwide and the second most deadly type of malignancy. Tumor heterogeneity accounts for the differences in drug responses among patients, emphasizing the importance of precision medicine. Patient-derived models of cancer are widely used preclinical models to study precision medicine since they preserve tumor heterogeneity ex vivo in the study of many cancers. Patient-derived models preserving cell-cell and cell-matrix interactions better recapitulate in vivo conditions, including patient-derived xenografts (PDXs), induced pluripotent stem cells (iPSCs), precision-cut liver slices (PCLSs), patient-derived organoids (PDOs), and patient-derived tumor spheroids (PDTSs). In this review, we provide a comprehensive overview of the different modalities used to establish preclinical models for precision medicine in liver cancer.
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Affiliation(s)
- Kaiwen Chen
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Yanran Li
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Bingran Wang
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Xuehan Yan
- Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiying Tao
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weizhou Song
- Ottawa-Shanghai Joint School of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhifeng Xi
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Kang He
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Qiang Xia
- Department of Liver Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
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Jannesari M, Akhavan O, Madaah Hosseini HR, Bakhshi B. Oxygen-Rich Graphene/ZnO 2-Ag nanoframeworks with pH-Switchable Catalase/Peroxidase activity as O 2 Nanobubble-Self generator for bacterial inactivation. J Colloid Interface Sci 2023; 637:237-250. [PMID: 36701869 DOI: 10.1016/j.jcis.2023.01.079] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/10/2023] [Accepted: 01/15/2023] [Indexed: 01/20/2023]
Abstract
The oxygen-rich organic/inorganic (reduced graphene oxide (rGO)/ZnO2-Ag) nanoframeworks as suppliers of O2 nanobubbles (NBs) with dual pH-and-temperature-sensitive behavior were developed to suppress bacterial growth. It was demonstrated that not only the rate but also the final product of oxygen-rich ZnO2 decomposition (to an intermediate product of H2O2) rate was dramatically controlled by pH adjustment. Furthermore, in the presence of Ag nanoparticles, ̇OH radical generation switched to O2 NBs evolution by shifting the pH from acidic to basic/neutral conditions, demonstrating an adjustable nanozyme function-ability between catalase and peroxidase-like activity, respectively. Antibacterial properties of the in-situ generated O2 NBs substantially enhanced against bacterial models including methicillin-resistant Staphylococcus aureus in the presence of rGO. In fact, deflecting the electrons from their main respiratory chain to an oxygen-rich bypath through rGO significantly stimulated reactive oxygen species (ROS) generation, combating bacteria more efficiently. Moreover, NIR laser irradiation-induced temperature rise (due to the inherent photothermal properties of rGO) facilitated ZnO2 decomposition and accelerated growth and collapse of NBs. The simultaneous microscale thermal and mechanical destructions induced stronger antibacterial behavior. These results hold great promises for designing simple organic/inorganic nanoframeworks as solid sources of NBs with tunable enzyme-like ability in response to environmental conditions suitable for forthcoming graphene-based bio-applications.
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Affiliation(s)
- Marziyeh Jannesari
- Institute for Nanoscience and Nanotechnology, Sharif University of Technology, P.O. Box 14588, 89694, Tehran, Iran; School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Ireland
| | - Omid Akhavan
- Institute for Nanoscience and Nanotechnology, Sharif University of Technology, P.O. Box 14588, 89694, Tehran, Iran; Department of Physics, Sharif University of Technology, P.O. Box 11155-9161, Tehran, Iran.
| | - Hamid R Madaah Hosseini
- Department of Materials Science and Engineering, Sharif University of Technology, P.O. Box 11155-9466, Tehran, Iran
| | - Bita Bakhshi
- Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, P.O. Box 14115-175, Tehran, Iran
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Di Pilato M, Gao Y, Sun Y, Fu A, Grass C, Seeholzer T, Feederle R, Mazo I, Kazer SW, Litchfield K, von Andrian UH, Mempel TR, Jenkins RW, Krappmann D, Keller P. Translational Studies Using the MALT1 Inhibitor ( S)-Mepazine to Induce Treg Fragility and Potentiate Immune Checkpoint Therapy in Cancer. JOURNAL OF IMMUNOTHERAPY AND PRECISION ONCOLOGY 2023; 6:61-73. [PMID: 37214210 PMCID: PMC10195017 DOI: 10.36401/jipo-22-18] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/17/2022] [Accepted: 12/12/2022] [Indexed: 05/19/2023]
Abstract
Introduction Regulatory T cells (Tregs) play a critical role in the maintenance of immune homeostasis but also protect tumors from immune-mediated growth control or rejection and pose a significant barrier to effective immunotherapy. Inhibition of MALT1 paracaspase activity can selectively reprogram immune-suppressive Tregs in the tumor microenvironment to adopt a proinflammatory fragile state, which offers an opportunity to impede tumor growth and enhance the efficacy of immune checkpoint therapy (ICT). Methods We performed preclinical studies with the orally available allosteric MALT1 inhibitor (S)-mepazine as a single-agent and in combination with anti-programmed cell death protein 1 (PD-1) ICT to investigate its pharmacokinetic properties and antitumor effects in several murine tumor models as well as patient-derived organotypic tumor spheroids (PDOTS). Results (S)-mepazine demonstrated significant antitumor effects and was synergistic with anti-PD-1 therapy in vivo and ex vivo but did not affect circulating Treg frequencies in healthy rats at effective doses. Pharmacokinetic profiling revealed favorable drug accumulation in tumors to concentrations that effectively blocked MALT1 activity, potentially explaining preferential effects on tumor-infiltrating over systemic Tregs. Conclusions The MALT1 inhibitor (S)-mepazine showed single-agent anticancer activity and presents a promising opportunity for combination with PD-1 pathway-targeted ICT. Activity in syngeneic tumor models and human PDOTS was likely mediated by induction of tumor-associated Treg fragility. This translational study supports ongoing clinical investigations (ClinicalTrials.gov Identifier: NCT04859777) of MPT-0118, (S)-mepazine succinate, in patients with advanced or metastatic treatment-refractory solid tumors.
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Affiliation(s)
- Mauro Di Pilato
- MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Yun Gao
- Monopteros Therapeutics, Boston, MA, USA
| | - Yi Sun
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Amina Fu
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Carina Grass
- Research Unit Signaling and Translation - Signaling and Immunity, Molecular Targets and Therapeutics Center, Helmholtz Munich–German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Seeholzer
- Research Unit Signaling and Translation - Signaling and Immunity, Molecular Targets and Therapeutics Center, Helmholtz Munich–German Research Center for Environmental Health, Neuherberg, Germany
| | - Regina Feederle
- Monoclonal Antibody Core Facility, Institute for Diabetes and Obesity, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Irina Mazo
- Monopteros Therapeutics, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Samuel W. Kazer
- Monopteros Therapeutics, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | | | - Thorsten R. Mempel
- Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Russell W. Jenkins
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Daniel Krappmann
- Research Unit Signaling and Translation - Signaling and Immunity, Molecular Targets and Therapeutics Center, Helmholtz Munich–German Research Center for Environmental Health, Neuherberg, Germany
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Xue B, Schüler J, Harrod CM, Lashuk K, Bomya Z, Hribar KC. A Novel Hydrogel-Based 3D In Vitro Tumor Panel of 30 PDX Models Incorporates Tumor, Stromal and Immune Cell Compartments of the TME for the Screening of Oncology and Immuno-Therapies. Cells 2023; 12:1145. [PMID: 37190054 PMCID: PMC10137152 DOI: 10.3390/cells12081145] [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: 02/11/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
Human-relevant systems that mimic the 3D tumor microenvironment (TME), particularly the complex mechanisms of immuno-modulation in the tumor stroma, in a reproducible and scalable format are of high interest for the drug discovery industry. Here, we describe a novel 3D in vitro tumor panel comprising 30 distinct PDX models covering a range of histotypes and molecular subtypes and cocultured with fibroblasts and PBMCs in planar (flat) extracellular matrix hydrogels to reflect the three compartments of the TME-tumor, stroma, and immune cells. The panel was constructed in a 96-well plate format and assayed tumor size, tumor killing, and T-cell infiltration using high-content image analysis after 4 days of treatment. We screened the panel first against the chemotherapy drug Cisplatin to demonstrate feasibility and robustness, and subsequently assayed immuno-oncology agents Solitomab (CD3/EpCAM bispecific T-cell engager) and the immune checkpoint inhibitors (ICIs) Atezolizumab (anti-PDL1), Nivolumab (anti-PD1) and Ipilimumab (anti-CTLA4). Solitomab displayed a strong response across many PDX models in terms of tumor reduction and killing, allowing for its subsequent use as a positive control for ICIs. Interestingly, Atezolizumab and Nivolumab demonstrated a mild response compared to Ipilimumab in a subset of models from the panel. We later determined that PBMC spatial proximity in the assay setup was important for the PD1 inhibitor, hypothesizing that both duration and concentration of antigen exposure may be critical. The described 30-model panel represents a significant advancement toward screening in vitro models of the tumor microenvironment that include tumor, fibroblast, and immune cell populations in an extracellular matrix hydrogel, with robust and standardized high content image analysis in a planar hydrogel. The platform is aimed at rapidly screening various combinations and novel agents and forming a critical conduit to the clinic, thus accelerating drug discovery for the next generation of therapeutics.
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Affiliation(s)
- Bin Xue
- Cypre, Inc., South San Francisco, CA 94080, USA
| | - Julia Schüler
- Charles River Discovery Research Services Germany GmbH, 79108 Freiburg, Germany
| | | | - Kanstantsin Lashuk
- Charles River Discovery Research Services Germany GmbH, 79108 Freiburg, Germany
| | - Zoji Bomya
- Cypre, Inc., South San Francisco, CA 94080, USA
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Fröhlich E. The Variety of 3D Breast Cancer Models for the Study of Tumor Physiology and Drug Screening. Int J Mol Sci 2023; 24:ijms24087116. [PMID: 37108283 PMCID: PMC10139112 DOI: 10.3390/ijms24087116] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/01/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Breast cancer is the most common cancer in women and responsible for multiple deaths worldwide. 3D cancer models enable a better representation of tumor physiology than the conventional 2D cultures. This review summarizes the important components of physiologically relevant 3D models and describes the spectrum of 3D breast cancer models, e.g., spheroids, organoids, breast cancer on a chip and bioprinted tissues. The generation of spheroids is relatively standardized and easy to perform. Microfluidic systems allow control over the environment and the inclusion of sensors and can be combined with spheroids or bioprinted models. The strength of bioprinting relies on the spatial control of the cells and the modulation of the extracellular matrix. Except for the predominant use of breast cancer cell lines, the models differ in stromal cell composition, matrices and fluid flow. Organoids are most appropriate for personalized treatment, but all technologies can mimic most aspects of breast cancer physiology. Fetal bovine serum as a culture supplement and Matrigel as a scaffold limit the reproducibility and standardization of the listed 3D models. The integration of adipocytes is needed because they possess an important role in breast cancer.
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Affiliation(s)
- Eleonore Fröhlich
- Center for Medical Research, Medical University of Graz, 8010 Graz, Austria
- Research Center Pharmaceutical Engineering GmbH, 8010 Graz, Austria
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39
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Zhou L, Liu L, Chang MA, Ma C, Chen W, Chen P. Spatiotemporal dissection of tumor microenvironment via in situ sensing and monitoring in tumor-on-a-chip. Biosens Bioelectron 2023; 225:115064. [PMID: 36680970 PMCID: PMC9918721 DOI: 10.1016/j.bios.2023.115064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023]
Abstract
Real-time monitoring in the tumor microenvironment provides critical insights of cancer progression and mechanistic understanding of responses to cancer treatments. However, clinical challenges and significant questions remain regarding assessment of limited clinical tissue samples, establishment of validated, controllable pre-clinical cancer models, monitoring of static versus dynamic markers, and the translation of insights gained from in vitro tumor microenvironments to systematic investigation and understanding in clinical practice. State-of-art tumor-on-a-chip strategies will be reviewed herein, and emerging real-time sensing and monitoring platforms for on-chip analysis of tumor microenvironment will also be examined. The integration of the sensors with tumor-on-a-chip platforms to provide spatiotemporal information of the tumor microenvironment and the associated challenges will be further evaluated. Though optimal integrated systems for in situ monitoring are still in evolution, great promises lie ahead that will open new paradigm for rapid, comprehensive analysis of cancer development and assist clinicians with powerful tools to guide the diagnosis, prognosis and treatment course in cancer.
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Affiliation(s)
- Lang Zhou
- Materials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA
| | - Lunan Liu
- Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA
| | - Muammar Ali Chang
- Materials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA
| | - Chao Ma
- Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA
| | - Weiqiang Chen
- Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA
| | - Pengyu Chen
- Materials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA.
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40
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El Harane S, Zidi B, El Harane N, Krause KH, Matthes T, Preynat-Seauve O. Cancer Spheroids and Organoids as Novel Tools for Research and Therapy: State of the Art and Challenges to Guide Precision Medicine. Cells 2023; 12:cells12071001. [PMID: 37048073 PMCID: PMC10093533 DOI: 10.3390/cells12071001] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/14/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
Spheroids and organoids are important novel players in medical and life science research. They are gradually replacing two-dimensional (2D) cell cultures. Indeed, three-dimensional (3D) cultures are closer to the in vivo reality and open promising perspectives for academic research, drug screening, and personalized medicine. A large variety of cells and tissues, including tumor cells, can be the starting material for the generation of 3D cultures, including primary tissues, stem cells, or cell lines. A panoply of methods has been developed to generate 3D structures, including spontaneous or forced cell aggregation, air-liquid interface conditions, low cell attachment supports, magnetic levitation, and scaffold-based technologies. The choice of the most appropriate method depends on (i) the origin of the tissue, (ii) the presence or absence of a disease, and (iii) the intended application. This review summarizes methods and approaches for the generation of cancer spheroids and organoids, including their advantages and limitations. We also highlight some of the challenges and unresolved issues in the field of cancer spheroids and organoids, and discuss possible therapeutic applications.
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Affiliation(s)
- Sanae El Harane
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Bochra Zidi
- Department of Medicine, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Nadia El Harane
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Karl-Heinz Krause
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Thomas Matthes
- Department of Medicine, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Olivier Preynat-Seauve
- Department of Medicine, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
- Laboratory of Experimental Cell Therapy, Department of Diagnostics, Geneva University Hospitals, 1206 Geneva, Switzerland
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41
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Functional precision oncology using patient-derived assays: bridging genotype and phenotype. Nat Rev Clin Oncol 2023; 20:305-317. [PMID: 36914745 DOI: 10.1038/s41571-023-00745-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2023] [Indexed: 03/14/2023]
Abstract
Genomics-based precision medicine has revolutionized oncology but also has inherent limitations. Functional precision oncology is emerging as a complementary approach that aims to bridge the gap between genotype and phenotype by modelling individual tumours in vitro. These patient-derived ex vivo models largely preserve several tumour characteristics that are not captured by genomics approaches and enable the functional dissection of tumour vulnerabilities in a personalized manner. In this Review, we discuss several examples of personalized functional assays involving tumour organoids, spheroids and explants and their potential to predict treatment responses and drug-induced toxicities in individual patients. These developments have opened exciting new avenues for precision oncology, with the potential for successful clinical applications in contexts in which genomic data alone are not informative. To implement these assays into clinical practice, we outline four key barriers that need to be overcome: assay success rates, turnaround times, the need for standardized conditions and the definition of in vitro responders. Furthermore, we discuss novel technological advances such as microfluidics that might reduce sample requirements, assay times and labour intensity and thereby enable functional precision oncology to be implemented in routine clinical practice.
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42
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Sun Y, Revach OY, Anderson S, Kessler EA, Wolfe CH, Jenney A, Mills CE, Robitschek EJ, Davis TGR, Kim S, Fu A, Ma X, Gwee J, Tiwari P, Du PP, Sindurakar P, Tian J, Mehta A, Schneider AM, Yizhak K, Sade-Feldman M, LaSalle T, Sharova T, Xie H, Liu S, Michaud WA, Saad-Beretta R, Yates KB, Iracheta-Vellve A, Spetz JKE, Qin X, Sarosiek KA, Zhang G, Kim JW, Su MY, Cicerchia AM, Rasmussen MQ, Klempner SJ, Juric D, Pai SI, Miller DM, Giobbie-Hurder A, Chen JH, Pelka K, Frederick DT, Stinson S, Ivanova E, Aref AR, Paweletz CP, Barbie DA, Sen DR, Fisher DE, Corcoran RB, Hacohen N, Sorger PK, Flaherty KT, Boland GM, Manguso RT, Jenkins RW. Targeting TBK1 to overcome resistance to cancer immunotherapy. Nature 2023; 615:158-167. [PMID: 36634707 PMCID: PMC10171827 DOI: 10.1038/s41586-023-05704-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 01/04/2023] [Indexed: 01/14/2023]
Abstract
Despite the success of PD-1 blockade in melanoma and other cancers, effective treatment strategies to overcome resistance to cancer immunotherapy are lacking1,2. Here we identify the innate immune kinase TANK-binding kinase 1 (TBK1)3 as a candidate immune-evasion gene in a pooled genetic screen4. Using a suite of genetic and pharmacological tools across multiple experimental model systems, we confirm a role for TBK1 as an immune-evasion gene. Targeting TBK1 enhances responses to PD-1 blockade by decreasing the cytotoxicity threshold to effector cytokines (TNF and IFNγ). TBK1 inhibition in combination with PD-1 blockade also demonstrated efficacy using patient-derived tumour models, with concordant findings in matched patient-derived organotypic tumour spheroids and matched patient-derived organoids. Tumour cells lacking TBK1 are primed to undergo RIPK- and caspase-dependent cell death in response to TNF and IFNγ in a JAK-STAT-dependent manner. Taken together, our results demonstrate that targeting TBK1 is an effective strategy to overcome resistance to cancer immunotherapy.
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Affiliation(s)
- Yi Sun
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Or-Yam Revach
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Seth Anderson
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Clara H Wolfe
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne Jenney
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
| | - Caitlin E Mills
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
| | | | | | - Sarah Kim
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Amina Fu
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Xiang Ma
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jia Gwee
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Payal Tiwari
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter P Du
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Princy Sindurakar
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jun Tian
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Arnav Mehta
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alexis M Schneider
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Institute of Technology, Technion, Haifa, Israel
| | - Moshe Sade-Feldman
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Thomas LaSalle
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tatyana Sharova
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Hongyan Xie
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Shuming Liu
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
| | - William A Michaud
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Rodrigo Saad-Beretta
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathleen B Yates
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Johan K E Spetz
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA, USA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA, USA
| | - Xingping Qin
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA, USA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA, USA
| | - Kristopher A Sarosiek
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA, USA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA, USA
| | - Gao Zhang
- Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, USA
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Preston Robert Tisch Brain Tumor Center, Department of Pathology, Duke University School of Medicine, Durham, NC, USA
| | - Jong Wook Kim
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
- Center for Novel Therapeutics, UC San Diego, La Jolla, CA, USA
- Department of Medicine, UC San Diego, La Jolla, CA, USA
| | - Mack Y Su
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Angelina M Cicerchia
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Q Rasmussen
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Samuel J Klempner
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dejan Juric
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sara I Pai
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
| | - David M Miller
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Anita Giobbie-Hurder
- Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jonathan H Chen
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Karin Pelka
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dennie T Frederick
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Elena Ivanova
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amir R Aref
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Xsphera Biosciences, Boston, MA, USA
| | - Cloud P Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Debattama R Sen
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David E Fisher
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ryan B Corcoran
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nir Hacohen
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA
| | - Keith T Flaherty
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Robert T Manguso
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Russell W Jenkins
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, MA, USA.
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Zhu J, Ji L, Chen Y, Li H, Huang M, Dai Z, Wang J, Xiang D, Fu G, Lei Z, Chu X. Organoids and organs-on-chips: insights into predicting the efficacy of systemic treatment in colorectal cancer. Cell Death Discov 2023; 9:72. [PMID: 36813783 PMCID: PMC9947255 DOI: 10.1038/s41420-023-01354-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/18/2023] [Accepted: 01/30/2023] [Indexed: 02/24/2023] Open
Abstract
Cancer heterogeneity has posed a great challenge to traditional cancer treatment, with the reappearance of cancer heterogeneity of inter and intra patients being especially critical. Based on this, personalized therapy has emerged as significant research focus in recent and even future years. Cancer-related therapeutic models are developing, including cell lines, patient-derived xenografts, organoids, etc. Organoids are three-dimensional in vitro models emerged in the past dozen years and are able to reproduce the cellular and molecular composition of the original tumor. These advantages demonstrate the great potential for patient-derived organoids to develop personalized anticancer therapies, including preclinical drug screening and the prediction of patient treatment response. The impact of microenvironment on cancer treatment cannot be underestimated, and the remodeling of microenvironment also allows organoids to interact with other technologies, among which organs-on-chips is a representative one. This review highlights the use of organoids and organs-on-chips as complementary reference tools in treating colorectal cancer from the perspective of clinical efficacy predictability. We also discuss the limitations of both techniques and how they complement each other well.
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Affiliation(s)
- Jialong Zhu
- grid.284723.80000 0000 8877 7471Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000 China
| | - Linlin Ji
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Yitian Chen
- grid.284723.80000 0000 8877 7471Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000 China ,grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China ,grid.89957.3a0000 0000 9255 8984Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000 China ,grid.410745.30000 0004 1765 1045Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000 China
| | - Huiyu Li
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Mengxi Huang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Zhe Dai
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Jing Wang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Dan Xiang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Gongbo Fu
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Zengjie Lei
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Xiaoyuan Chu
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
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Promises and challenges for targeting the immunological players in the tumor micro-environment – Critical determinants for NP-based therapy. OPENNANO 2023. [DOI: 10.1016/j.onano.2023.100134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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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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Tutty MA, Prina-Mello A. Three-Dimensional Spheroids for Cancer Research. Methods Mol Biol 2023; 2645:65-103. [PMID: 37202612 DOI: 10.1007/978-1-0716-3056-3_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
In vitro cell culture is one of the most widely used tools used today for increasing our understanding of various things such as protein production, mechanisms of drug action, tissue engineering, and overall cellular biology. For the past decades, however, cancer researchers have relied heavily on conventional two-dimensional (2D) monolayer culture techniques to test a variety of aspects of cancer research ranging from the cytotoxic effects of antitumor drugs to the toxicity of diagnostic dyes and contact tracers. However, many promising cancer therapies have either weak or no efficacy in real-life conditions, therefore delaying or stopping altogether their translating to the clinic. This is, in part, due to the reductionist 2D cultures used to test these materials, which lack appropriate cell-cell contacts, have altered signaling, do not represent the natural tumor microenvironment, and have different drug responses, due to their reduced malignant phenotype when compared to real in vivo tumors. With the most recent advances, cancer research has moved into 3D biological investigation. Three-dimensional (3D) cultures of cancer cells not only recapitulate the in vivo environment better than their 2D counterparts, but they have, in recent years, emerged as a relatively low-cost and scientifically accurate methodology for studying cancer. In this chapter, we highlight the importance of 3D culture, specifically 3D spheroid culture, reviewing some key methodologies for forming 3D spheroids, discussing the experimental tools that can be used in conjunction with 3D spheroids and finally their applications in cancer research.
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Affiliation(s)
- Melissa Anne Tutty
- Laboratory for Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity Centre for Health Sciences, Trinity College Dublin, Dublin, Ireland.
| | - Adriele Prina-Mello
- Laboratory for Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity Centre for Health Sciences, Trinity College Dublin, Dublin, Ireland
- Nanomedicine and Molecular Imaging Group, Trinity Translational Medicine Institute, (TTMI), School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity St. James's Cancer Institute, St. James's Hospital, Trinity College Dublin, Dublin, Ireland
- Advanced Materials and Bioengineering Research (AMBER) Centre, CRANN Institute, Trinity College Dublin, Dublin, Ireland
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Ngan Ngo TK, Kuo CH, Tu TY. Recent advances in microfluidic-based cancer immunotherapy-on-a-chip strategies. BIOMICROFLUIDICS 2023; 17:011501. [PMID: 36647540 PMCID: PMC9840534 DOI: 10.1063/5.0108792] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Despite several extraordinary improvements in cancer immunotherapy, its therapeutic effectiveness against many distinct cancer types remains mostly limited and requires further study. Different microfluidic-based cancer immunotherapy-on-a-chip (ITOC) systems have been developed to help researchers replicate the tumor microenvironment and immune system. Numerous microfluidic platforms can potentially be used to perform various on-chip activities related to early clinical cancer immunotherapy processes, such as improving immune checkpoint blockade therapy, studying immune cell dynamics, evaluating cytotoxicity, and creating vaccines or organoid models from patient samples. In this review, we summarize the most recent advancements in the development of various microfluidic-based ITOC devices for cancer treatment niches and present future perspectives on microfluidic devices for immunotherapy research.
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Affiliation(s)
- Thi Kim Ngan Ngo
- Biomedical Engineering Department, College of Engineering, National Cheng Kung University, Tainan 70101, Taiwan
| | - Cheng-Hsiang Kuo
- International Center for Wound Repair and Regeneration, National Cheng Kung University, Tainan 70101, Taiwan
| | - Ting-Yuan Tu
- Author to whom correspondence should be addressed:
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Riedel R, Fassunke J, Tumbrink HL, Scheel AH, Heydt C, Hieggelke L, Scheffler M, Heimsoeth A, Nogova L, Michels S, Weber JP, Fischer RN, Eisert A, Westphal T, Schaufler D, Siemanowski J, Ihle MA, Wagener-Ryczek S, Castiglione R, Pappesch R, Rehker J, Jürgens J, Stoelben E, Bunck A, Kobe C, Merkelbach-Bruse S, Sos ML, Büttner R, Wolf J. Resistance to MET inhibition in MET-dependent NSCLC and therapeutic activity after switching from type I to type II MET inhibitors. Eur J Cancer 2023; 179:124-135. [PMID: 36521334 DOI: 10.1016/j.ejca.2022.11.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/30/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Resistance to MET inhibition occurs inevitably in MET-dependent non-small cell lung cancer and the underlying mechanisms are insufficiently understood. We describe resistance mechanisms in patients with MET exon 14 skipping mutation (METΔex14), MET amplification, and MET fusion and report treatment outcomes after switching therapy from type I to type II MET inhibitors. MATERIALS AND METHODS Pre- and post-treatment biopsies were analysed by NGS (next generation sequencing), digital droplet PCR (polymerase chain reaction), and FISH (fluorescense in situ hybridization). A patient-derived xenograft model was generated in one case. RESULTS Of 26 patients with MET tyrosine kinase inhibitor treatment, eight had paired pre- and post-treatment biopsies (Three with MET amplification, three with METΔex14, two with MET fusions (KIF5B-MET and PRKAR2B-MET).) In six patients, mechanisms of resistance were detected, whereas in two cases, the cause of resistance remained unclear. We found off-target resistance mechanisms in four cases with KRAS mutations and HER2 amplifications appearing. Two patients exhibited second-site MET mutations (p.D1246N and p. Y1248H). Three patients received type I and type II MET tyrosine kinase inhibitors sequentially. In two cases, further progressive disease was seen hereafter. The patient with KIF5B-MET fusion received three different MET inhibitors and showed long-lasting stable disease and a repeated response after switching therapy, respectively. CONCLUSION Resistance to MET inhibition is heterogeneous with on- and off-target mechanisms occurring regardless of the initial MET aberration. Switching therapy between different types of kinase inhibitors can lead to repeated responses in cases with second-site mutations. Controlled clinical trials in this setting with larger patient numbers are needed, as evidence to date is limited to preclinical data and case series.
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Affiliation(s)
- Richard Riedel
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Jana Fassunke
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Hannah L Tumbrink
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Translational Genomics, Germany
| | - Andreas H Scheel
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Carina Heydt
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Lena Hieggelke
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Matthias Scheffler
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Alena Heimsoeth
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Translational Genomics, Germany
| | - Lucia Nogova
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Sebastian Michels
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Jan-Phillip Weber
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Rieke N Fischer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Anna Eisert
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Theresa Westphal
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Diana Schaufler
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany
| | - Janna Siemanowski
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Michaela A Ihle
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Svenja Wagener-Ryczek
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | | | - Roberto Pappesch
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Jan Rehker
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Jessica Jürgens
- Lung Clinic Merheim, Hospital of the City of Cologne, University of Witten-Herdecke, Germany
| | - Erich Stoelben
- Lung Clinic Merheim, Hospital of the City of Cologne, University of Witten-Herdecke, Germany
| | - Anne Bunck
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Radiology, Germany
| | - Carsten Kobe
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Nuclear Medicine, Germany
| | - Sabine Merkelbach-Bruse
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany
| | - Martin L Sos
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Translational Genomics, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Molecular Medicine Cologne, Germany
| | - Reinhard Büttner
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department of Pathology, Molecular Pathology, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Molecular Medicine Cologne, Germany
| | - Jürgen Wolf
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology, Department I of Internal Medicine, Germany; Lung Cancer Group, Cologne, Germany.
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Manduca N, Maccafeo E, De Maria R, Sistigu A, Musella M. 3D cancer models: One step closer to in vitro human studies. Front Immunol 2023; 14:1175503. [PMID: 37114038 PMCID: PMC10126361 DOI: 10.3389/fimmu.2023.1175503] [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: 02/27/2023] [Accepted: 03/23/2023] [Indexed: 04/29/2023] Open
Abstract
Cancer immunotherapy is the great breakthrough in cancer treatment as it displayed prolonged progression-free survival over conventional therapies, yet, to date, in only a minority of patients. In order to broad cancer immunotherapy clinical applicability some roadblocks need to be overcome, first among all the lack of preclinical models that faithfully depict the local tumor microenvironment (TME), which is known to dramatically affect disease onset, progression and response to therapy. In this review, we provide the reader with a detailed overview of current 3D models developed to mimick the complexity and the dynamics of the TME, with a focus on understanding why the TME is a major target in anticancer therapy. We highlight the advantages and translational potentials of tumor spheroids, organoids and immune Tumor-on-a-Chip models in disease modeling and therapeutic response, while outlining pending challenges and limitations. Thinking forward, we focus on the possibility to integrate the know-hows of micro-engineers, cancer immunologists, pharmaceutical researchers and bioinformaticians to meet the needs of cancer researchers and clinicians interested in using these platforms with high fidelity for patient-tailored disease modeling and drug discovery.
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Affiliation(s)
- Nicoletta Manduca
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ester Maccafeo
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ruggero De Maria
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario ‘A. Gemelli’ - Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Antonella Sistigu
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
- *Correspondence: Martina Musella, ; ; Antonella Sistigu, ;
| | - Martina Musella
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
- *Correspondence: Martina Musella, ; ; Antonella Sistigu, ;
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John C, Jain K, Masanam HB, Narasimhan AK, Natarajan A. Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications. MICROMACHINES 2022; 13:2217. [PMID: 36557516 PMCID: PMC9781111 DOI: 10.3390/mi13122217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/08/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
The targeted delivery of cancer immunotherapies has increased noticeably in recent years. Recent advancements in immunotherapy, particularly in blocking the immune checkpoints (ICs) axis, have shown favorable treatment outcomes for multiple types of cancer including melanoma and non-small-cell lung cancer (NSLC). Engineered micromachines, including microparticles, and nanoplatforms (organic and inorganic), functionalized with immune agonists can effectively deliver immune-targeting molecules to solid tumors. This review focuses on the nanomaterial-based strategies that have shown promise in identifying and targeting various immunological markers in the tumor microenvironment (TME) for cancer diagnosis and therapy. Nanomaterials-based cancer immunotherapy has improved treatment outcomes by triggering an immune response in the TME. Evaluating the expression levels of ICs in the TME also could potentially aid in diagnosing patients who would respond to IC blockade therapy. Detecting immunological checkpoints in the TME using noninvasive imaging systems via tailored nanosensors improves the identification of patient outcomes in immuno-oncology (IO). To enhance patient-specific analysis, lab-on-chip (LOC) technology is a rapid, cost-effective, and accurate way of recapitulating the TME. Such novel nanomaterial-based technologies have been of great interest for testing immunotherapies and assessing biomarkers. Finally, we provide a perspective on the developments in artificial intelligence tools to facilitate ICs-based nano theranostics toward cancer immunotherapy.
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Affiliation(s)
- Clyde John
- Department of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Kaahini Jain
- Department of Neuroscience, Boston University, Boston, MA 02215, USA
| | - Hema Brindha Masanam
- Advanced Nano-Theranostics (ANTs), Biomaterials Lab, Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India
| | - Ashwin Kumar Narasimhan
- Advanced Nano-Theranostics (ANTs), Biomaterials Lab, Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India
| | - Arutselvan Natarajan
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology and Bio-X Program, Stanford University, Stanford, CA 94305, USA
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