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Thorel L, Perréard M, Florent R, Divoux J, Coffy S, Vincent A, Gaggioli C, Guasch G, Gidrol X, Weiswald LB, Poulain L. Patient-derived tumor organoids: a new avenue for preclinical research and precision medicine in oncology. Exp Mol Med 2024; 56:1531-1551. [PMID: 38945959 PMCID: PMC11297165 DOI: 10.1038/s12276-024-01272-5] [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: 11/24/2023] [Revised: 03/18/2024] [Accepted: 04/14/2024] [Indexed: 07/02/2024] Open
Abstract
Over the past decade, the emergence of patient-derived tumor organoids (PDTOs) has broadened the repertoire of preclinical models and progressively revolutionized three-dimensional cell culture in oncology. PDTO can be grown from patient tumor samples with high efficiency and faithfully recapitulates the histological and molecular characteristics of the original tumor. Therefore, PDTOs can serve as invaluable tools in oncology research, and their translation to clinical practice is exciting for the future of precision medicine in oncology. In this review, we provide an overview of methods for establishing PDTOs and their various applications in cancer research, starting with basic research and ending with the identification of new targets and preclinical validation of new anticancer compounds and precision medicine. Finally, we highlight the challenges associated with the clinical implementation of PDTO, such as its representativeness, success rate, assay speed, and lack of a tumor microenvironment. Technological developments and autologous cocultures of PDTOs and stromal cells are currently ongoing to meet these challenges and optimally exploit the full potential of these models. The use of PDTOs as standard tools in clinical oncology could lead to a new era of precision oncology in the coming decade.
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Grants
- AP-RM-19-020 Fondation de l'Avenir pour la Recherche Médicale Appliquée (Fondation de l'Avenir)
- PJA20191209649 Fondation ARC pour la Recherche sur le Cancer (ARC Foundation for Cancer Research)
- TRANSPARANCE Fondation ARC pour la Recherche sur le Cancer (ARC Foundation for Cancer Research)
- TRANSPARANCE Ligue Contre le Cancer
- ORGAPRED Ligue Contre le Cancer
- 3D-Hub Canceropôle PACA (Canceropole PACA)
- Pré-néo 2019-188 Institut National Du Cancer (French National Cancer Institute)
- Conseil Régional de Haute Normandie (Upper Normandy Regional Council)
- GIS IBiSA, Cancéropôle Nord-Ouest (ORGRAFT project), the Groupement des Entreprises Françaises dans la Lutte contre le Cancer (ORGAVADS project), the Fonds de dotation Patrick de Brou de Laurière (ORGAVADS project),and Normandy County Council (ORGATHEREX project).
- GIS IBiSA, Cancéropôle Nord-Ouest (OrgaNO project), Etat-région
- GIS IBiSA, Region Sud
- GIS IBiSA, Cancéropôle Nord-Ouest (OrgaNO project), and Normandy County Council (ORGAPRED, PLATONUS ONE, POLARIS, and EQUIP’INNOV projects).
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Affiliation(s)
- Lucie Thorel
- INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France
- Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France
| | - Marion Perréard
- INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France
- Department of Head and Neck Surgery, Caen University Hospital, Caen, France
| | - Romane Florent
- ORGAPRED core facility, US PLATON, Université de Caen Normandie, Caen, France
| | - Jordane Divoux
- INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France
- Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France
- ORGAPRED core facility, US PLATON, Université de Caen Normandie, Caen, France
| | - Sophia Coffy
- Biomics, CEA, Inserm, IRIG, UA13 BGE, Univ. Grenoble Alpes, Grenoble, France
| | - Audrey Vincent
- CNRS UMR9020, INSERM U1277, CANTHER Cancer Heterogeneity Plasticity and Resistance to Therapies, Univ. Lille, CNRS, Inserm, CHU Lille, Lille, France
| | - Cédric Gaggioli
- CNRS UMR7284, INSERM U1081, Institute for Research on Cancer and Aging, Nice (IRCAN), 3D-Hub-S Facility, CNRS University Côte d'Azur, Nice, France
| | - Géraldine Guasch
- CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Epithelial Stem Cells and Cancer Team, Aix-Marseille University, Marseille, France
| | - Xavier Gidrol
- Biomics, CEA, Inserm, IRIG, UA13 BGE, Univ. Grenoble Alpes, Grenoble, France
| | - Louis-Bastien Weiswald
- INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
- Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
- ORGAPRED core facility, US PLATON, Université de Caen Normandie, Caen, France.
| | - Laurent Poulain
- INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
- Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
- ORGAPRED core facility, US PLATON, Université de Caen Normandie, Caen, France.
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Kalla J, Pfneissl J, Mair T, Tran L, Egger G. A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00960-8. [PMID: 38806997 DOI: 10.1007/s13402-024-00960-8] [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] [Accepted: 05/11/2024] [Indexed: 05/30/2024] Open
Abstract
Cancer is a highly heterogeneous disease, and thus treatment responses vary greatly between patients. To improve therapy efficacy and outcome for cancer patients, more representative and patient-specific preclinical models are needed. Organoids and tumoroids are 3D cell culture models that typically retain the genetic and epigenetic characteristics, as well as the morphology, of their tissue of origin. Thus, they can be used to understand the underlying mechanisms of cancer initiation, progression, and metastasis in a more physiological setting. Additionally, co-culture methods of tumoroids and cancer-associated cells can help to understand the interplay between a tumor and its tumor microenvironment. In recent years, tumoroids have already helped to refine treatments and to identify new targets for cancer therapy. Advanced culturing systems such as chip-based fluidic devices and bioprinting methods in combination with tumoroids have been used for high-throughput applications for personalized medicine. Even though organoid and tumoroid models are complex in vitro systems, validation of results in vivo is still the common practice. Here, we describe how both animal- and human-derived tumoroids have helped to identify novel vulnerabilities for cancer treatment in recent years, and how they are currently used for precision medicine.
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Affiliation(s)
- Jessica Kalla
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Janette Pfneissl
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Theresia Mair
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Loan Tran
- Department of Pathology, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Gerda Egger
- Department of Pathology, Medical University of Vienna, Vienna, Austria.
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria.
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
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3
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Mishra I, Gupta K, Mishra R, Chaudhary K, Sharma V. An Exploration of Organoid Technology: Present Advancements, Applications, and Obstacles. Curr Pharm Biotechnol 2024; 25:1000-1020. [PMID: 37807405 DOI: 10.2174/0113892010273024230925075231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Organoids are in vitro models that exhibit a three-dimensional structure and effectively replicate the structural and physiological features of human organs. The capacity to research complex biological processes and disorders in a controlled setting is laid out by these miniature organ-like structures. OBJECTIVES This work examines the potential applications of organoid technology, as well as the challenges and future directions associated with its implementation. It aims to emphasize the pivotal role of organoids in disease modeling, drug discovery, developmental biology, precision medicine, and fundamental research. METHODS The manuscript was put together by conducting a comprehensive literature review, which involved an in-depth evaluation of globally renowned scientific research databases. RESULTS The field of organoids has generated significant attention due to its potential applications in tissue development and disease modelling, as well as its implications for personalised medicine, drug screening, and cell-based therapies. The utilisation of organoids has proven to be effective in the examination of various conditions, encompassing genetic disorders, cancer, neurodevelopmental disorders, and infectious diseases. CONCLUSION The exploration of the wider uses of organoids is still in its early phases. Research shall be conducted to integrate 3D organoid systems as alternatives for current models, potentially improving both fundamental and clinical studies in the future.
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Affiliation(s)
- Isha Mishra
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
| | - Komal Gupta
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
| | - Raghav Mishra
- Department of Pharmacy, GLA University, Mathura, 281406, Uttar Pradesh, India
| | - Kajal Chaudhary
- Department of Pharmacy, GLA University, Mathura, 281406, Uttar Pradesh, India
| | - Vikram Sharma
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
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4
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Baglamis S, Sheraton VM, Meijer D, Qian H, Hoebe RA, Lenos KJ, Betjes MA, Betjes MA, Tans S, van Zon J, Vermeulen L, Krawczyk PM. Using picoliter droplet deposition to track clonal competition in adherent and organoid cancer cell cultures. Sci Rep 2023; 13:18832. [PMID: 37914743 PMCID: PMC10620187 DOI: 10.1038/s41598-023-42849-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: 02/12/2023] [Accepted: 09/15/2023] [Indexed: 11/03/2023] Open
Abstract
Clonal growth and competition underlie processes of key relevance in etiology, progression and therapy response across all cancers. Here, we demonstrate a novel experimental approach, based on multi-color, fluorescent tagging of cell nuclei, in combination with picoliter droplet deposition, to study the clonal dynamics in two- and three-dimensional cell cultures. The method allows for the simultaneous visualization and analysis of multiple clones in individual multi-clonal colonies, providing a powerful tool for studying clonal dynamics and identifying clonal populations with distinct characteristics. Results of our experiments validate the utility of the method in studying clonal dynamics in vitro, and reveal differences in key aspects of clonal behavior of different cancer cell lines in monoculture conditions, as well as in co-cultures with stromal fibroblasts.
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Affiliation(s)
- Selami Baglamis
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Oncode Institute, 3521 AL, Utrecht, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, 1105 AZ, Amsterdam, The Netherlands
| | - Vivek M Sheraton
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Oncode Institute, 3521 AL, Utrecht, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, 1105 AZ, Amsterdam, The Netherlands
- Institute for Advanced Study, University of Amsterdam, 1012 WX, Amsterdam, The Netherlands
| | - Debora Meijer
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Department of Medical Biology, Amsterdam University Medical Centers (location AMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Haibin Qian
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Department of Medical Biology, Amsterdam University Medical Centers (location AMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Ron A Hoebe
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Department of Medical Biology, Amsterdam University Medical Centers (location AMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Kristiaan J Lenos
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Oncode Institute, 3521 AL, Utrecht, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, 1105 AZ, Amsterdam, The Netherlands
| | - Max A Betjes
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands
- Oncode Institute, 3521 AL, Utrecht, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, 1105 AZ, Amsterdam, The Netherlands
| | | | | | | | - Louis Vermeulen
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands.
- Oncode Institute, 3521 AL, Utrecht, The Netherlands.
- Amsterdam Gastroenterology Endocrinology Metabolism, 1105 AZ, Amsterdam, The Netherlands.
| | - Przemek M Krawczyk
- Cancer Center Amsterdam, 1081 HV, Amsterdam, The Netherlands.
- Department of Medical Biology, Amsterdam University Medical Centers (location AMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
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5
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Zhou S, Zheng J, Zhai W, Chen Y. Spatio-temporal heterogeneity in cancer evolution and tumor microenvironment of renal cell carcinoma with tumor thrombus. Cancer Lett 2023; 572:216350. [PMID: 37574183 DOI: 10.1016/j.canlet.2023.216350] [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: 06/12/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
Metastasis is the most fatal aspect of cancer, often preceded by a tumor thrombus (TT) which forms within the vascular system. Renal cell carcinoma (RCC), the predominant form of kidney cancer, witnesses a venous system invasion in 4-10% of cases, resulting in venous tumor thrombus (RCC-TT). This variant represents a formidable clinical challenge due to its escalated surgical complexity, heightened risk of progression and metastasis, and an adverse prognosis. However, recent trials addressing RCC-TT face significant barriers stemming from the profound inter- and intra-tumoral heterogeneity, patient-specific treatment variations, and distinct therapeutic resistance patterns between the primary tumor (PT) and the TT. This review delves into the unique evolutionary pathway of RCC-TT, the relationship between the staging and grading of RCC-TT invasion patterns, and the spatial molecular profiling of RCC-TT. Additionally, we assess the temporal heterogeneity among TT, PT, and distant metastases, as well as the functional phenotypes of TME components. An outlook for future research on RCC-TT is also provided.
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Affiliation(s)
- Sian Zhou
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Junhua Zheng
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Wei Zhai
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China; Department of Urology, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
| | - Yonghui Chen
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
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6
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Séraudie I, Pillet C, Cesana B, Bazelle P, Jeanneret F, Evrard B, Chalmel F, Bouzit A, Battail C, Long JA, Descotes JL, Cochet C, Filhol O. A new scaffold-free tumoroid model provides a robust preclinical tool to investigate invasion and drug response in Renal Cell Carcinoma. Cell Death Dis 2023; 14:622. [PMID: 37736770 PMCID: PMC10517165 DOI: 10.1038/s41419-023-06133-z] [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: 04/12/2023] [Revised: 08/24/2023] [Accepted: 09/07/2023] [Indexed: 09/23/2023]
Abstract
Clear cell Renal Cell Carcinoma (ccRCC) is one of the most prevalent kidney cancers, which is often asymptomatic and thus discovered at a metastatic state (mRCC). mRCC are highly heterogeneous tumors composed of subclonal populations that lead to poor treatment response rate. Several recent works explored the potential of ccRCC tumoroids culture derived from patients. However, these models were produced following a scaffold-based method using collagen I or Matrigel that exhibit lot variability and whose complexity could induce treatment response modifications and phenotypic alterations. Following the observation that ccRCC tumoroids can create their own niche by secreting extracellular matrix components, we developed the first scaffold-free tumoroid model of ccRCC tumors. Tumoroids from mice as well as from human tumors were generated with high success rate (≥90%) using a magnetic suspension method and standard culture media. Immunofluorescence analysis revealed their self-organization capacities to maintain multiple tumor-resident cell types, including endothelial progenitor cells. Transcriptomic analysis showed the reproducibility of the method highlighting that the majority of gene expression patterns was conserved in tumoroids compared to their matching tumor tissue. Moreover, this model enables to evaluate drug effects and invasiveness of renal cancer cells in a 3D context, providing a robust preclinical tool for drug screening and biomarker assessment in line with alternative ex vivo methods like tumor tissue slice culture or in vivo xenograft models.
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Grants
- EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- INSERM, CEA, Ligue Comité de l’Isère, University Grenoble Alpes, Centre Hospitalier Universitaire de Grenoble-Alpes (CHUGA), Groupement des Entreprises Françaises dans la Lutte contre le Cancer (GEFLUC)
- CEA, UGA
- CEA, Inserm
- UGA, Inserm, CEA
- CHU, Ligue Comité de l’Isère
- Inserm, Ligue Comité de l’Isère
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Affiliation(s)
- Irinka Séraudie
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
| | - Catherine Pillet
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
| | - Beatrice Cesana
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
| | - Pauline Bazelle
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
| | - Florian Jeanneret
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UA 13, F-38000, Grenoble, France
| | - Bertrand Evrard
- University Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000, Rennes, France
| | - Frédéric Chalmel
- University Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000, Rennes, France
| | - Assilah Bouzit
- Centre hospitalier universitaire Grenoble Alpes, CS 10217, 38043, Grenoble, cedex 9, France
| | - Christophe Battail
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UA 13, F-38000, Grenoble, France
| | - Jean-Alexandre Long
- Centre hospitalier universitaire Grenoble Alpes, CS 10217, 38043, Grenoble, cedex 9, France
| | - Jean Luc Descotes
- Centre hospitalier universitaire Grenoble Alpes, CS 10217, 38043, Grenoble, cedex 9, France
| | - Claude Cochet
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France
| | - Odile Filhol
- University Grenoble Alpes, Inserm, CEA, IRIG-Biosanté, UMR 1292, F-38000, Grenoble, France.
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Seo E, Kang M. Current status and clinical application of patient-derived tumor organoid model in kidney and prostate cancers. BMB Rep 2023; 56:24-31. [PMID: 36476272 PMCID: PMC9887101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Indexed: 01/28/2023] Open
Abstract
Urological cancers such as kidney, bladder, prostate, and testicular cancers are the most common types of cancers worldwide with high mortality and morbidity. To date, traditional cell lines and animal models have been broadly used to study pre-clinical applications and underlying molecular mechanisms of urological cancers. However, they cannot reflect biological phenotypes of real tissues and clinical diversities of urological cancers in vitro system. In vitro models cannot be utilized to reflect the tumor microenvironment or heterogeneity. Cancer organoids in three-dimensional culture have emerged as a promising platform for simulating tumor microenvironment and revealing heterogeneity. In this review, we summarize recent advances in prostate and kidney cancer organoids regarding culture conditions, advantages, and applications of these cancer organoids. [BMB Reports 2023; 56(1): 24-31].
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Affiliation(s)
- Eunjeong Seo
- Molecular Pharmacology, OliPass Corporation, Yongin 17015, Korea
| | - Minyong Kang
- Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea,Department of Health Sciences and Technology, SAIHST, Seoul 06351, Korea,Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea,Corresponding author. Tel: +82-2-3410-1138; Fax: +82-2-3410-6992; E-mail:
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8
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Seo E, Kang M. Current status and clinical application of patient-derived tumor organoid model in kidney and prostate cancers. BMB Rep 2023; 56:24-31. [PMID: 36476272 PMCID: PMC9887101 DOI: 10.5483/bmbrep.2022-0200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 11/30/2023] Open
Abstract
Urological cancers such as kidney, bladder, prostate, and testicular cancers are the most common types of cancers worldwide with high mortality and morbidity. To date, traditional cell lines and animal models have been broadly used to study pre-clinical applications and underlying molecular mechanisms of urological cancers. However, they cannot reflect biological phenotypes of real tissues and clinical diversities of urological cancers in vitro system. In vitro models cannot be utilized to reflect the tumor microenvironment or heterogeneity. Cancer organoids in three-dimensional culture have emerged as a promising platform for simulating tumor microenvironment and revealing heterogeneity. In this review, we summarize recent advances in prostate and kidney cancer organoids regarding culture conditions, advantages, and applications of these cancer organoids. [BMB Reports 2023; 56(1): 24-31].
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Affiliation(s)
- Eunjeong Seo
- Molecular Pharmacology, OliPass Corporation, Yongin 17015, Korea
| | - Minyong Kang
- Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Department of Health Sciences and Technology, SAIHST, Seoul 06351, Korea
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea
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9
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Ozcelik A, Abas BI, Erdogan O, Cevik E, Cevik O. On-Chip Organoid Formation to Study CXCR4/CXCL-12 Chemokine Microenvironment Responses for Renal Cancer Drug Testing. BIOSENSORS 2022; 12:1177. [PMID: 36551144 PMCID: PMC9775535 DOI: 10.3390/bios12121177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/05/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
Organoid models have gained importance in recent years in determining the toxic effects of drugs in cancer studies. Organoid designs with the same standardized size and cellular structures are desired for drug tests. The field of microfluidics offers numerous advantages to enable well-controlled and contamination-free biomedical research. In this study, simple and low-cost microfluidic devices were designed and fabricated to develop an organoid model for drug testing for renal cancers. Caki human renal cancer cells and mesenchymal stem cells isolated from human umbilical cord were placed into alginate hydrogels. The microfluidic system was implemented to form size-controllable organoids within alginate hydrogels. Alginate capsules of uniform sizes formed in the microfluidic system were kept in cell culture for 21 days, and their organoid development was studied with calcein staining. Cisplatin was used as a standard chemotherapeutic, and organoid sphere structures were examined as a function of time with an MTT assay. HIF-1α, CXCR4 and CXCL-12 chemokine protein, and CXCR4 and CXCL-12 gene levels were tested in organoids and cisplatin responses. In conclusion, it was found that the standard renal cancer organoids made on a lab-on-a-chip system can be used to measure drug effects and tumor microenvironment responses.
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Affiliation(s)
- Adem Ozcelik
- Department of Mechanical Engineering, Aydın Adnan Menderes University, Aydin 09010, Turkey
| | - Burcin Irem Abas
- Department of Biochemistry, School of Medicine, Aydin Adnan Menderes University, Aydin 09010, Turkey
| | - Omer Erdogan
- Department of Biochemistry, School of Medicine, Aydin Adnan Menderes University, Aydin 09010, Turkey
| | - Evrim Cevik
- Department of Machinery and Metal Technologies, Kocarli Vocational School, Aydin Adnan Menderes University, Aydin 09010, Turkey
| | - Ozge Cevik
- Department of Biochemistry, School of Medicine, Aydin Adnan Menderes University, Aydin 09010, Turkey
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10
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Chen H, Zhang W, Maskey N, Yang F, Zheng Z, Li C, Wang R, Wu P, Mao S, Zhang J, Yan Y, Li W, Yao X. Urological cancer organoids, patients' avatars for precision medicine: past, present and future. Cell Biosci 2022; 12:132. [PMID: 35986387 PMCID: PMC9389738 DOI: 10.1186/s13578-022-00866-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/31/2022] [Indexed: 11/29/2022] Open
Abstract
Urological cancers are common malignant cancers worldwide, with annually increasing morbidity and mortality rates. For decades, two-dimensional cell cultures and animal models have been widely used to study the development and underlying molecular mechanisms of urological cancers. However, they either fail to reflect cancer heterogeneity or are time-consuming and labour-intensive. The recent emergence of a three-dimensional culture model called organoid has the potential to overcome the shortcomings of traditional models. For example, organoids can recapitulate the histopathological and molecular diversity of original cancer and reflect the interaction between cancer and surrounding cells or stroma by simulating tumour microenvironments. Emerging evidence suggests that urine-derived organoids can be generated, which could be a novel non-invasive liquid biopsy method that provides new ideas for clinical precision therapy. However, the current research on organoids has encountered some bottlenecks, such as the lack of a standard culture process, the need to optimize the culture medium and the inability to completely simulate the immune system in vivo. Nonetheless, cell co-culture and organoid-on-a-chip have significant potential to solve these problems. In this review, the latest applications of organoids in drug screening, cancer origin investigation and combined single-cell sequencing are illustrated. Furthermore, the development and application of organoids in urological cancers and their challenges are summarised.
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11
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Dormoy V, Filhol O, Sourbier C, Massfelder T. Editorial: in vitro and in vivo non-clinical models of kidney cancers. Front Oncol 2022; 12:987682. [PMID: 35957882 PMCID: PMC9360796 DOI: 10.3389/fonc.2022.987682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Valérian Dormoy
- INSERM (French National Institute of Health and Medical Research) UMR-S1250, P3Cell, Université de Reims Champagne Ardenne, SFR CAP-SANTE, Reims, France
| | - Odile Filhol
- INSERM (French National Institute of Health and Medical Research) UMR 1292-Interdisciplinary Research Institute of Grenoble (IRIG)-Biosanté, University Grenoble Alpes, CEA, Grenoble, France
| | - Carole Sourbier
- Division of Biotechnology Review and Research 1, Office of Biotechnology Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, United States
| | - Thierry Massfelder
- INSERM (French National Institute of Health and Medical Research) UMR_S1260, Université de Strasbourg, Regenerative Nanomedicine, Centre de Recherche en Biomédecine de Strasbourg, Strasbourg, France
- *Correspondence: Thierry Massfelder,
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12
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Simon AG, Esser LK, Ellinger J, Ritter M, Kristiansen G, Muders MH, Mayr T, Toma MI. RNA Sequencing Reveals Alterations and Similarities in Cell Metabolism, Hypoxia and Immune Evasion in Primary Cell Cultures of Clear Cell Renal Cell Carcinoma. Front Oncol 2022; 12:883195. [PMID: 35646693 PMCID: PMC9130782 DOI: 10.3389/fonc.2022.883195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/08/2022] [Indexed: 11/17/2022] Open
Abstract
The treatment of advanced renal cell carcinoma remains a challenge. To develop novel therapeutic approaches, primary cell cultures as an in vitro model are considered more representative than commercial cell lines. In this study, we analyzed the gene expression of previously established primary cell cultures of clear cell renal cell carcinoma by bulk (3’m)RNA sequencing and compared it to the tissue of origin. The objectives were the identification of dysregulated pathways under cell culture conditions. Furthermore, we assessed the suitability of primary cell cultures for studying crucial biological pathways, including hypoxia, growth receptor signaling and immune evasion. RNA sequencing of primary cell cultures of renal cell carcinoma and a following Enrichr database analysis revealed multiple dysregulated pathways under cell culture conditions. 444 genes were significantly upregulated and 888 genes downregulated compared to the tissue of origin. The upregulated genes are crucial in DNA repair, cell cycle, hypoxia and metabolic shift towards aerobic glycolysis. A downregulation was observed for genes involved in pathways of immune cell differentiation and cell adhesion. We furthermore observed that 7275 genes have a similar mRNA expression in cell cultures and in tumor tissue, including genes involved in the immune checkpoint signaling or in pathways responsible for tyrosine kinase receptor resistance. Our findings confirm that primary cell cultures are a representative tool for specified experimental approaches. The results presented in this study give further valuable insights into the complex adaptation of patient-derived cells to a new microenvironment, hypoxia and other cell culture conditions, which are often neglected in daily research, and allow new translational and therapeutic approaches.
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Affiliation(s)
- Adrian Georg Simon
- Department of Pathology, University Hospital Bonn, Bonn, Germany.,Department of Pathology, University Hospital Cologne, Cologne, Germany
| | | | - Jörg Ellinger
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Manuel Ritter
- Department of Urology, University Hospital Bonn, Bonn, Germany
| | - Glen Kristiansen
- Department of Pathology, University Hospital Bonn, Bonn, Germany
| | - Michael H Muders
- Department of Pathology, University Hospital Bonn, Bonn, Germany
| | - Thomas Mayr
- Department of Pathology, University Hospital Bonn, Bonn, Germany
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13
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Buehler JD, Bird CE, Savani MR, Gattie LC, Hicks WH, Levitt MM, El Shami M, Hatanpaa KJ, Richardson TE, McBrayer SK, Abdullah KG. Semi-Automated Computational Assessment of Cancer Organoid Viability Using Rapid Live-Cell Microscopy. Cancer Inform 2022; 21:11769351221100754. [PMID: 35652106 PMCID: PMC9150230 DOI: 10.1177/11769351221100754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 04/27/2022] [Indexed: 11/26/2022] Open
Abstract
The creation of patient-derived cancer organoids represents a key advance in preclinical modeling and has recently been applied to a variety of human solid tumor types. However, conventional methods used to assess in vivo tumor tissue treatment response are poorly suited for the evaluation of cancer organoids because they are time-intensive and involve tissue destruction. To address this issue, we established a suite of 3-dimensional patient-derived glioma organoids, treated them with chemoradiotherapy, stained organoids with non-toxic cell dyes, and imaged them using a rapid laser scanning confocal microscopy method termed "Apex Imaging." We then developed and tested a fragmentation algorithm to quantify heterogeneity in the topography of the organoids as a potential surrogate marker of viability. This algorithm, SSDquant, provides a 3-dimensional visual representation of the organoid surface and a numerical measurement of the sum-squared distance (SSD) from the derived mass center of the organoid. We tested whether SSD scores correlate with traditional immunohistochemistry-derived cell viability markers (cellularity and cleaved caspase 3 expression) and observed statistically significant associations between them using linear regression analysis. Our work describes a quantitative, non-invasive approach for the serial measurement of patient-derived cancer organoid viability, thus opening new avenues for the application of these models to studies of cancer biology and therapy.
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Affiliation(s)
- Joseph D Buehler
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Cylaina E Bird
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Milan R Savani
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Lauren C Gattie
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - William H Hicks
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Michael M Levitt
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mohamad El Shami
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kimmo J Hatanpaa
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Pathology, Division of Neuropathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Timothy E Richardson
- Department of Pathology and Laboratory Medicine and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Disease Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Samuel K McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kalil G Abdullah
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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14
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Wang B, Xue Y, Zhai W. Integration of Tumor Microenvironment in Patient-Derived Organoid Models Help Define Precision Medicine of Renal Cell Carcinoma. Front Immunol 2022; 13:902060. [PMID: 35592336 PMCID: PMC9111175 DOI: 10.3389/fimmu.2022.902060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/04/2022] [Indexed: 12/11/2022] Open
Abstract
Renal cell carcinoma (RCC) is a common urological tumor, with a poor prognosis, as the result of insensitivity to chemotherapy and radiotherapy. About 20%–30% of patients with RCC have metastasis at the first diagnosis, so only systemic treatment is possible. Due to the heterogeneity of renal tumors, responses to drugs differ from person to person. Consequently, patient-derived organoid, highly recapitulating tumor heterogeneity, becomes a promising model for high-throughput ex vivo drug screening and thus guides the drug choice of patients with RCC. Systemic treatment of RCC mainly targets the tumor microenvironment, including neovasculature and immune cells. We reviewed several methods with which patient-derived organoid models mimic the heterogeneity of not only tumor epithelium but also the tumor microenvironment. We further discuss some new aspects of the development of patient-derived organoids, preserving in vivo conditions in patients with RCC.
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Affiliation(s)
- Bingran Wang
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yizheng Xue
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhai
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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15
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Shapiro DD, Virumbrales-Muñoz M, Beebe DJ, Abel EJ. Models of Renal Cell Carcinoma Used to Investigate Molecular Mechanisms and Develop New Therapeutics. Front Oncol 2022; 12:871252. [PMID: 35463327 PMCID: PMC9022005 DOI: 10.3389/fonc.2022.871252] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/10/2022] [Indexed: 12/24/2022] Open
Abstract
Modeling renal cell carcinoma is critical to investigating tumor biology and therapeutic mechanisms. Multiple systems have been developed to represent critical components of the tumor and its surrounding microenvironment. Prominent in vitro models include traditional cell cultures, 3D organoid models, and microphysiological devices. In vivo models consist of murine patient derived xenografts or genetically engineered mice. Each system has unique advantages as well as limitations and researchers must thoroughly understand each model to properly investigate research questions. This review addresses common model systems for renal cell carcinoma and critically evaluates their performance and ability to measure tumor characteristics.
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Affiliation(s)
- Daniel D Shapiro
- Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.,Division of Urology, William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
| | - Maria Virumbrales-Muñoz
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.,Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - David J Beebe
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.,Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States
| | - E Jason Abel
- Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
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16
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Stern A, Thompson B, Williams K, McClellan R, Gebhart S, Hartman J. The CellRaft AIR Ⓡ system: A novel system enabling organoid imaging, identification, and isolation. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2022; 27:201-208. [PMID: 35058186 PMCID: PMC10802934 DOI: 10.1016/j.slasd.2021.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Three-dimensional (3D) culture systems have been developed that can re-capitulate organ level responses, simulate compound diffusion through complex structures, and assess cellular heterogeneity of tissues, making them attractive models for advanced in vitro research and discovery. Organoids are a unique subtype of 3D cell culture that are grown from stem cells, are self-organizing, and closely replicate in vivo pathophysiology. Organoids have been used to understand tissue development, model diseases, test drug sensitivity and toxicity, and advance regenerative medicine. However, traditional organoid culture methods are inadequate because they are low throughput and ill-suited for single organoid imaging, phenotypic assessment, and isolation from heterogenous organoid populations. To address these bottlenecks, we have adapted our tissue culture consumable and instrumentation to enable automated imaging, identification, and isolation of individual organoids. Organoids grown on the 3D CytoSortⓇ Array can be reliably tracked, imaged, and phenotypically analyzed using brightfield and fluorescent microscopy as they grow over time, then released and transferred fully intact for use in downstream applications. Using mouse hepatic and pancreatic organoids, we have demonstrated the use of this technology for single-organoid imaging, clonal organoid generation, parent organoid subcloning, and single-organoid RNA extraction for downstream gene expression or transcriptomic analysis. The results validate the ability of the CellRaft AIRⓇ System to facilitate efficient, user-friendly, and automated workflows broadly applicable to organoid research by overcoming several pain points: 1) single organoid time-course imaging and phenotypic assessment, 2) establishment of single cell-derived organoids, and 3) isolation and retrieval of single organoids for downstream applications.
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17
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Hicks WH, Bird CE, Gattie LC, Shami ME, Traylor JI, Shi DD, McBrayer SK, Abdullah KG. Creation and Development of Patient-Derived Organoids for Therapeutic Screening in Solid Cancer. CURRENT STEM CELL REPORTS 2022. [DOI: 10.1007/s40778-022-00211-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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18
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Foo MA, You M, Chan SL, Sethi G, Bonney GK, Yong WP, Chow EKH, Fong ELS, Wang L, Goh BC. Clinical translation of patient-derived tumour organoids- bottlenecks and strategies. Biomark Res 2022; 10:10. [PMID: 35272694 PMCID: PMC8908618 DOI: 10.1186/s40364-022-00356-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/16/2022] [Indexed: 02/06/2023] Open
Abstract
Multiple three-dimensional (3D) tumour organoid models assisted by multi-omics and Artificial Intelligence (AI) have contributed greatly to preclinical drug development and precision medicine. The intrinsic ability to maintain genetic and phenotypic heterogeneity of tumours allows for the reconciliation of shortcomings in traditional cancer models. While their utility in preclinical studies have been well established, little progress has been made in translational research and clinical trials. In this review, we identify the major bottlenecks preventing patient-derived tumour organoids (PDTOs) from being used in clinical setting. Unsuitable methods of tissue acquisition, disparities in establishment rates and a lengthy timeline are the limiting factors for use of PDTOs in clinical application. Potential strategies to overcome this include liquid biopsies via circulating tumour cells (CTCs), an automated organoid platform and optical metabolic imaging (OMI). These proposed solutions accelerate and optimize the workflow of a clinical organoid drug screening. As such, PDTOs have the potential for potential applications in clinical oncology to improve patient outcomes. If remarkable progress is made, cancer patients can finally benefit from this revolutionary technology.
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Affiliation(s)
- Malia Alexandra Foo
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Mingliang You
- Hangzhou Cancer Institute, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou, 31002, China.,Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, 31002, China
| | - Shing Leng Chan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Surgery, National University Hospital, Singapore, Singapore
| | - Gautam Sethi
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Glenn K Bonney
- Department of Surgery, National University Hospital, Singapore, Singapore.,NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei-Peng Yong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Haematology-Oncology, National University Hospital, National University Health System, Singapore, Singapore
| | - Edward Kai-Hua Chow
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Eliza Li Shan Fong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Lingzhi Wang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. .,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Boon-Cher Goh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. .,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. .,Department of Haematology-Oncology, National University Hospital, National University Health System, Singapore, Singapore.
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19
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Pernik MN, Bird CE, Traylor JI, Shi DD, Richardson TE, McBrayer SK, Abdullah KG. Patient-Derived Cancer Organoids for Precision Oncology Treatment. J Pers Med 2021; 11:423. [PMID: 34067714 PMCID: PMC8156513 DOI: 10.3390/jpm11050423] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/14/2021] [Indexed: 12/12/2022] Open
Abstract
The emergence of three-dimensional human organoids has opened the door for the development of patient-derived cancer organoid (PDO) models, which closely recapitulate parental tumor tissue. The mainstays of preclinical cancer modeling include in vitro cell lines and patient-derived xenografts, but these models lack the cellular heterogeneity seen in human tumors. Moreover, xenograft establishment is resource and time intensive, rendering these models difficult to use to inform clinical trials and decisions. PDOs, however, can be created efficiently and retain tumor-specific properties such as cellular heterogeneity, cell-cell and cell-stroma interactions, the tumor microenvironment, and therapeutic responsiveness. PDO models and drug-screening protocols have been described for several solid tumors and, more recently, for gliomas. Since PDOs can be developed in clinically relevant time frames and share many characteristics of parent tumors, they may enhance the ability to provide precision oncologic care for patients. This review explores the current literature on cancer organoids, highlighting the history of PDO development, organoid models of glioma, and potential clinical applications of PDOs.
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Affiliation(s)
- Mark N. Pernik
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (M.N.P.); (C.E.B.); (J.I.T.)
| | - Cylaina E. Bird
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (M.N.P.); (C.E.B.); (J.I.T.)
| | - Jeffrey I. Traylor
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (M.N.P.); (C.E.B.); (J.I.T.)
| | - Diana D. Shi
- Department of Radiation Oncology, Harvard Medical School, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, MA 02215, USA;
| | - Timothy E. Richardson
- Biggs Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA;
| | - Samuel K. McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Kalil G. Abdullah
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (M.N.P.); (C.E.B.); (J.I.T.)
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
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20
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Lakshminarayanan H, Rutishauser D, Schraml P, Moch H, Bolck HA. Liquid Biopsies in Renal Cell Carcinoma-Recent Advances and Promising New Technologies for the Early Detection of Metastatic Disease. Front Oncol 2020; 10:582843. [PMID: 33194717 PMCID: PMC7656014 DOI: 10.3389/fonc.2020.582843] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/29/2020] [Indexed: 12/21/2022] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) displays a highly varying clinical progression, from slow growing localized tumors to very aggressive metastatic disease (mRCC). Almost a third of all patients with ccRCC show metastatic dissemination at presentation while another third develop metastasis during the course of the disease. Survival rates of mRCC patients remain low despite the development of novel targeted treatment regimens. Biomarkers indicating disease progression could help to define its aggressive potential and thus guide patient management. However, molecular markers that can reliably assess metastatic dissemination and disease recurrence in ccRCC have not been recommended for clinical practice to date. Liquid biopsies could provide an attractive and non-invasive method to determine the risk of recurrence or metastatic dissemination during follow-up and thus assist the search for surveillance biomarkers in ccRCC tumors. A wide spectrum of circulating molecules have already shown considerable potential for ccRCC diagnosis and prognostication. In this review, we outline state of the art of the key circulating analytes such as cfDNA, cfRNA, proteins, and exosomes that may serve as biomarkers for the longitudinal monitoring of ccRCC progression to metastasis. Moreover, we address some of the prevailing limitations in the past approaches and present promising adoptable technologies that could help to pursue the implementation of liquid biopsies as a prognostic tool for mRCC.
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Affiliation(s)
| | | | | | - Holger Moch
- Department of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Hella A. Bolck
- Department of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
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21
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Corrò C, Novellasdemunt L, Li VSW. A brief history of organoids. Am J Physiol Cell Physiol 2020; 319:C151-C165. [PMID: 32459504 PMCID: PMC7468890 DOI: 10.1152/ajpcell.00120.2020] [Citation(s) in RCA: 174] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/12/2020] [Accepted: 05/26/2020] [Indexed: 12/22/2022]
Abstract
In vitro cell cultures are crucial research tools for modeling human development and diseases. Although the conventional monolayer cell cultures have been widely used in the past, the lack of tissue architecture and complexity of such model fails to inform the true biological processes in vivo. Recent advances in the organoid technology have revolutionized the in vitro culture tools for biomedical research by creating powerful three-dimensional (3D) models to recapitulate the cellular heterogeneity, structure, and functions of the primary tissues. Such organoid technology enables researchers to recreate human organs and diseases in a dish and thus holds great promises for many translational applications such as regenerative medicine, drug discovery, and precision medicine. In this review, we provide an overview of the organoid history and development. We discuss the strengths and limitations of organoids as well as their potential applications in the laboratory and the clinic.
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Affiliation(s)
- Claudia Corrò
- Stem Cell and Cancer Biology Laboratory, The Francis Crick Institute, London United Kingdom
| | - Laura Novellasdemunt
- Stem Cell and Cancer Biology Laboratory, The Francis Crick Institute, London United Kingdom
| | - Vivian S W Li
- Stem Cell and Cancer Biology Laboratory, The Francis Crick Institute, London United Kingdom
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22
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Simon AG, Esser LK, Ellinger J, Branchi V, Tolkach Y, Müller S, Ritter M, Kristiansen G, Muders MH, Mayr T, Toma MI. Targeting glycolysis with 2-deoxy-D-glucose sensitizes primary cell cultures of renal cell carcinoma to tyrosine kinase inhibitors. J Cancer Res Clin Oncol 2020; 146:2255-2265. [PMID: 32533404 DOI: 10.1007/s00432-020-03278-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 05/30/2020] [Indexed: 12/23/2022]
Abstract
PURPOSE To investigate the synergistic effect of glycolysis inhibition on therapy answer to tyrosine kinase inhibitors in renal carcinoma. METHODS Primary cell cultures from 33 renal tumors including clear cell RCC (ccRCC), papillary RCC and the rare subtype chromophobe RCC as well as two metastases of ccRCC were obtained and cultivated. The patient-derived cells were verified by immunohistochemistry. CcRCC cells were further examined by exon sequencing of the von Hippel-Lindau gene (VHL) and by RNA-sequencing. Next, cell cultures of all subtypes of RCC were exposed to increasing doses of various tyrosine kinase inhibitors (axitinib, cabozantinib and pazopanib) and the glycolysis inhibitor 2-deoxy-D-glucose, alone or combined. CellTiter-Glo® Luminescence assay and Crystal Violet staining were used to assess the inhibition of glycolysis and the viability of the cultured primary cells. RESULTS The cells expressed characteristic tissue markers and, in case of ccRCC cultures, the VHL status of the tumor they derived from. An upregulation of HK1, PFKP and SLC2A1 was observed, while components of the respiratory chain were downregulated, confirming a metabolic shift towards aerobic glycolysis. The tumors displayed variable individual responses for the therapeutics. All subtypes of RCC were susceptible to cabozantinib treatment indicated by decreased proliferation. Adding 2-deoxy-D-glucose to tyrosine kinase inhibitors decreased ATP production and increased the susceptibility of ccRCC to pazopanib treatment. CONCLUSION This study presents a valuable tool to cultivate even uncommon and rare renal cancer subtypes and allows testing of targeted therapies as a personalized approach as well as testing new therapies such as glycolysis inhibition in an in vitro model.
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Affiliation(s)
- Adrian Georg Simon
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Laura Kristin Esser
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Jörg Ellinger
- Department of Urology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Vittorio Branchi
- Department of General, Visceral, Thoracic and Vascular Surgery, Institute of General, Visceral, Thoracic and Vascular Surgery, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Yuri Tolkach
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Stefan Müller
- Department of Urology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Manuel Ritter
- Department of Urology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Glen Kristiansen
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Michael Helmut Muders
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Thomas Mayr
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Marieta Ioana Toma
- Department of Pathology, Institute of Pathology, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
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Raimondo F, Pitto M. Prognostic significance of proteomics and multi-omics studies in renal carcinoma. Expert Rev Proteomics 2020; 17:323-334. [PMID: 32428425 DOI: 10.1080/14789450.2020.1772058] [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: 10/24/2022]
Abstract
INTRODUCTION Renal carcinoma, and in particular its most common variant, the clear cell subtype, is often diagnosed incidentally through abdominal imaging and frequently, the tumor is discovered at an early stage. However, 20% to 40% of patients undergoing nephrectomy for clinically localized renal cancer, even after accurate histological and clinical classification, will develop metastasis or recurrence, justifying the associated mortality rate. Therefore, even if renal carcinoma is not among the most frequent nor deadly cancers, a better prognostication is needed. AREAS COVERED Recently proteomics or other omics combinations have been applied to both cancer tissues, on the neoplasia itself and surrounding microenvironment, cultured cells, and biological fluids (so-called liquid biopsy) generating a list of prognostic molecular tools that will be reviewed in the present paper. EXPERT OPINION Although promising, none of the approaches listed above has been yet translated in clinics. This is likely due to the peculiar genetic and phenotypic heterogeneity of this cancer, which makes nearly each tumor different from all the others. Attempts to overcome this issue will be also revised. In particular, we will discuss how the application of omics-integrated approaches could provide the determinants of response to the different targeted drugs.
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Affiliation(s)
- Francesca Raimondo
- Clinical Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano - Bicocca , Vedano al Lambro, Italy
| | - Marina Pitto
- Clinical Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano - Bicocca , Vedano al Lambro, Italy
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Inhibiting WNT and NOTCH in renal cancer stem cells and the implications for human patients. Nat Commun 2020; 11:929. [PMID: 32066735 PMCID: PMC7026425 DOI: 10.1038/s41467-020-14700-7] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 01/21/2020] [Indexed: 02/08/2023] Open
Abstract
Current treatments for clear cell renal cell cancer (ccRCC) are insufficient because two-thirds of patients with metastases progress within two years. Here we report the identification and characterization of a cancer stem cell (CSC) population in ccRCC. CSCs are quantitatively correlated with tumor aggressiveness and metastasis. Transcriptional profiling and single cell sequencing reveal that these CSCs exhibit an activation of WNT and NOTCH signaling. A significant obstacle to the development of rational treatments has been the discrepancy between model systems and the in vivo situation of patients. To address this, we use CSCs to establish non-adherent sphere cultures, 3D tumor organoids, and xenografts. Treatment with WNT and NOTCH inhibitors blocks the proliferation and self-renewal of CSCs in sphere cultures and organoids, and impairs tumor growth in patient-derived xenografts in mice. These findings suggest that our approach is a promising route towards the development of personalized treatments for individual patients. Cancer stem cells are thought to be largely resistant to treatment and can be responsible for tumour recurrence. Here, using renal cancer organoids, self-renewing sphere cultures and PDX from patients, the authors show that the proliferation of stem cells within organoids, PDX and spheres can be blocked by the concomitant inhibition of the NOTCH and WNT pathways.
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Bolck HA, Pauli C, Göbel E, Mühlbauer K, Dettwiler S, Moch H, Schraml P. Cancer Sample Biobanking at the Next Level: Combining Tissue With Living Cell Repositories to Promote Precision Medicine. Front Cell Dev Biol 2019; 7:246. [PMID: 31696117 PMCID: PMC6817465 DOI: 10.3389/fcell.2019.00246] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 10/07/2019] [Indexed: 12/24/2022] Open
Abstract
Biorespositories of formalin-fixed and paraffin-embedded (FFPE) or fresh frozen human tissues from malignant diseases generated as integral part of the diagnostic workup in many pathology departments have been pivotal resources for translational cancer studies. However, such tissue biobanks have traditionally contained only non-viable specimens and thus cannot enable functional assays for the discovery and validation of therapeutic targets or the assessment of drug responses and resistance to treatment. To overcome these limitations, we have developed a next-generation comprehensive biobanking platform that includes the generation of patient-derived in vitro cell models from colorectal, pancreatic and kidney cancers among others. As such patient-derived cell (PDC) models retain important features of the original human tumors, they have emerged as relevant tools for more dynamic clinical and experimental analyses of cancer. Here, we describe details of the complex processes of acquisition and processing of patient-derived samples, propagation, annotation, characterization and distribution of resulting cell models and emphasize the requirements of quality assurance, organizational considerations and investment into resources. Taken together, we show how clinical tissue collections can be taken to the next level thus promising major new opportunities for understanding and treating cancer in the context of precision medicine.
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Affiliation(s)
- Hella A Bolck
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Chantal Pauli
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Elisabeth Göbel
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Katharina Mühlbauer
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Susanne Dettwiler
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
| | - Peter Schraml
- Department of Pathology and Molecular Pathology, University Hospital of Zürich, Zurich, Switzerland
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