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Tong L, Cui W, Zhang B, Fonseca P, Zhao Q, Zhang P, Xu B, Zhang Q, Li Z, Seashore-Ludlow B, Yang Y, Si L, Lundqvist A. Patient-derived organoids in precision cancer medicine. MED 2024:S2666-6340(24)00343-X. [PMID: 39341206 DOI: 10.1016/j.medj.2024.08.010] [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: 04/07/2024] [Revised: 07/11/2024] [Accepted: 08/30/2024] [Indexed: 09/30/2024]
Abstract
Organoids are three-dimensional (3D) cultures, normally derived from stem cells, that replicate the complex structure and function of human tissues. They offer a physiologically relevant model to address important questions in cancer research. The generation of patient-derived organoids (PDOs) from various human cancers allows for deeper insights into tumor heterogeneity and spatial organization. Additionally, interrogating non-tumor stromal cells increases the relevance in studying the tumor microenvironment, thereby enhancing the relevance of PDOs in personalized medicine. PDOs mark a significant advancement in cancer research and patient care, signifying a shift toward more innovative and patient-centric approaches. This review covers aspects of PDO cultures to address the modeling of the tumor microenvironment, including extracellular matrices, air-liquid interface and microfluidic cultures, and organ-on-chip. Specifically, the role of PDOs as preclinical models in gene editing, molecular profiling, drug testing, and biomarker discovery and their potential for guiding personalized treatment in clinical practice are discussed.
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Affiliation(s)
- Le Tong
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
| | - Weiyingqi Cui
- Chemical Biology Consortium Sweden, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Boya Zhang
- Organcare (Shenzhen) Biotechnology Company, Shenzhen, China
| | - Pedro Fonseca
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Qian Zhao
- Organcare (Shenzhen) Biotechnology Company, Shenzhen, China
| | - Ping Zhang
- Organcare (Shenzhen) Biotechnology Company, Shenzhen, China
| | - Beibei Xu
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Qisi Zhang
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhen Li
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | | | - Ying Yang
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Respiratory Medicine, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Zhejiang, China
| | - Longlong Si
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Andreas Lundqvist
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
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Vitale S, Calapà F, Colonna F, Luongo F, Biffoni M, De Maria R, Fiori ME. Advancements in 3D In Vitro Models for Colorectal Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2405084. [PMID: 38962943 PMCID: PMC11348154 DOI: 10.1002/advs.202405084] [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: 05/14/2024] [Indexed: 07/05/2024]
Abstract
The process of drug discovery and pre-clinical testing is currently inefficient, expensive, and time-consuming. Most importantly, the success rate is unsatisfactory, as only a small percentage of tested drugs are made available to oncological patients. This is largely due to the lack of reliable models that accurately predict drug efficacy and safety. Even animal models often fail to replicate human-specific pathologies and human body's complexity. These factors, along with ethical concerns regarding animal use, urge the development of suitable human-relevant, translational in vitro models.
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Affiliation(s)
- Sara Vitale
- Department of Oncology and Molecular Medicine (OMM)Istituto Superiore di SanitàViale Regina Elena 299Rome00161Italy
| | - Federica Calapà
- Dipartimento di Medicina e Chirurgia traslazionaleUniversità Cattolica del Sacro CuoreLargo F. Vito 1RomeItaly
| | - Francesca Colonna
- Department of Oncology and Molecular Medicine (OMM)Istituto Superiore di SanitàViale Regina Elena 299Rome00161Italy
| | - Francesca Luongo
- Dipartimento di Medicina e Chirurgia traslazionaleUniversità Cattolica del Sacro CuoreLargo F. Vito 1RomeItaly
| | - Mauro Biffoni
- Department of Oncology and Molecular Medicine (OMM)Istituto Superiore di SanitàViale Regina Elena 299Rome00161Italy
| | - Ruggero De Maria
- Dipartimento di Medicina e Chirurgia traslazionaleUniversità Cattolica del Sacro CuoreLargo F. Vito 1RomeItaly
- Fondazione Policlinico Universitario “A. Gemelli” – IRCCSLargo F. Vito 1RomeItaly
| | - Micol E. Fiori
- Department of Oncology and Molecular Medicine (OMM)Istituto Superiore di SanitàViale Regina Elena 299Rome00161Italy
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3
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Wang F, Li Z, Xu T, Zhang Q, Ma T, Li S, Wang X. A comprehensive multi-omics analysis identifies a robust scoring system for cancer-associated fibroblasts and intervention targets in colorectal cancer. J Cancer Res Clin Oncol 2024; 150:124. [PMID: 38478111 PMCID: PMC10937804 DOI: 10.1007/s00432-023-05548-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/15/2023] [Indexed: 03/17/2024]
Abstract
BACKGROUND Cancer-associated fibroblasts (CAF) play a critical role in promoting tumor growth, metastasis, and immune evasion. While numerous studies have investigated CAF, there remains a paucity of research on their clinical application in colorectal cancer (CRC). METHODS In this study, we collected differentially expressed genes between CAF and normal fibroblasts (NF) from previous CRC studies, and utilized machine learning analysis to differentiate two distinct subtypes of CAF in CRC. To enable practical application, a CAF-related genes (CAFGs) scoring system was developed based on multivariate Cox regression. We then conducted functional enrichment analysis, Kaplan-Meier plot, consensus molecular subtypes (CMS) classification, and Tumor Immune Dysfunction and Exclusion (TIDE) algorithm to investigate the relationship between the CAFGs scoring system and various biological mechanisms, prognostic value, tumor microenvironment, and response to immune checkpoint blockade (ICB) therapy. Moreover, single-cell transcriptomics and proteomics analyses have been employed to validate the significance of scoring system-related molecules in the identity and function of CAF. RESULTS We unveiled significant distinctions in tumor immune status and prognosis not only between the CAF clusters, but also across high and low CAFGs groups. Specifically, patients in CAF cluster 2 or with high CAFGs scores exhibited higher CAF markers and were enriched for CAF-related biological pathways such as epithelial-mesenchymal transition (EMT) and angiogenesis. In addition, CAFGs score was identified as a risk index and correlated with poor overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), and recurrence-free survival (RFS). High CAFGs scores were observed in patients with advanced stages, CMS4, as well as lymphatic invasion. Furthermore, elevated CAFG scores in patients signified a suppressive tumor microenvironment characterized by the upregulation of programmed death-ligand 1 (PD-L1), T-cell dysfunction, exclusion, and TIDE score. And high CAFGs scores can differentiate patients with lower response rates and poor prognosis under ICB therapy. Notably, single-cell transcriptomics and proteomics analyses identified several molecules related to CAF identity and function, such as FSTL1, IGFBP7, and FBN1. CONCLUSION We constructed a robust CAFGs score system with clinical significance using multiple CRC cohorts. In addition, we identified several molecules related to CAF identity and function that could be potential intervention targets for CRC patients.
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Affiliation(s)
- Feng Wang
- Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
| | - Zhenlin Li
- Department of Surgical Clinical, School of Heze Medical College, Heze, China
| | - Tianlei Xu
- Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Qian Zhang
- Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Tianyi Ma
- Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Sijia Li
- Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xiaohui Wang
- Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
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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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Borlongan MC, Wang H. Profiling and targeting cancer stem cell signaling pathways for cancer therapeutics. Front Cell Dev Biol 2023; 11:1125174. [PMID: 37305676 PMCID: PMC10247984 DOI: 10.3389/fcell.2023.1125174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/15/2023] [Indexed: 06/13/2023] Open
Abstract
Tumorigenic cancer stem cells (CSCs) represent a subpopulation of cells within the tumor that express genetic and phenotypic profiles and signaling pathways distinct from the other tumor cells. CSCs have eluded many conventional anti-oncogenic treatments, resulting in metastases and relapses of cancers. Effectively targeting CSCs' unique self-renewal and differentiation properties would be a breakthrough in cancer therapy. A better characterization of the CSCs' unique signaling mechanisms will improve our understanding of the pathology and treatment of cancer. In this paper, we will discuss CSC origin, followed by an in-depth review of CSC-associated signaling pathways. Particular emphasis is given on CSC signaling pathways' ligand-receptor engagement, upstream and downstream mechanisms, and associated genes, and molecules. Signaling pathways associated with regulation of CSC development stand as potential targets of CSC therapy, which include Wnt, TGFβ (transforming growth factor-β)/SMAD, Notch, JAK-STAT (Janus kinase-signal transducers and activators of transcription), Hedgehog (Hh), and vascular endothelial growth factor (VEGF). Lastly, we will also discuss milestone discoveries in CSC-based therapies, including pre-clinical and clinical studies featuring novel CSC signaling pathway cancer therapeutics. This review aims at generating innovative views on CSCs toward a better understanding of cancer pathology and treatment.
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Affiliation(s)
- Mia C. Borlongan
- Master Program of Pharmaceutical Science College of Graduate Studies, Elk Grove, CA, United States
| | - Hongbin Wang
- Master Program of Pharmaceutical Science College of Graduate Studies, Elk Grove, CA, United States
- Department of Pharmaceutical and Biomedical Sciences College of Pharmacy, Elk Grove, CA, United States
- Department of Basic Science College of Medicine, California Northstate University, Elk Grove, CA, United States
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6
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Strating E, Verhagen MP, Wensink E, Dünnebach E, Wijler L, Aranguren I, De la Cruz AS, Peters NA, Hageman JH, van der Net MMC, van Schelven S, Laoukili J, Fodde R, Roodhart J, Nierkens S, Snippert H, Gloerich M, Rinkes IB, Elias SG, Kranenburg O. Co-cultures of colon cancer cells and cancer-associated fibroblasts recapitulate the aggressive features of mesenchymal-like colon cancer. Front Immunol 2023; 14:1053920. [PMID: 37261365 PMCID: PMC10228738 DOI: 10.3389/fimmu.2023.1053920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 05/03/2023] [Indexed: 06/02/2023] Open
Abstract
Background Poor prognosis in colon cancer is associated with a high content of cancer-associated fibroblasts (CAFs) and an immunosuppressive tumor microenvironment. The relationship between these two features is incompletely understood. Here, we aimed to generate a model system for studying the interaction between cancer cells and CAFs and their effect on immune-related cytokines and T cell proliferation. Methods CAFs were isolated from colon cancer liver metastases and were immortalized to prolong lifespan and improve robustness and reproducibility. Established medium and matrix compositions that support the growth of patient-derived organoids were adapted to also support CAF growth. Changes in growth pattern and cellular re-organization were assessed by confocal microscopy, live cell imaging, and immunofluorescence. Single cell RNA sequencing was used to study CAF/organoid co-culture-induced phenotypic changes in both cell types. Conditioned media were used to quantify the production of immunosuppressive factors and to assess their effect on T cell proliferation. Results We developed a co-culture system in which colon cancer organoids and CAFs spontaneously organize into superstructures with a high capacity to contract and stiffen the extracellular matrix (ECM). CAF-produced collagen IV provided a basement membrane supporting cancer cell organization into glandular structures, reminiscent of human cancer histology. Single cell RNA sequencing analysis showed that CAFs induced a partial epithelial-to-mesenchymal-transition in a subpopulation of cancer cells, similar to what is observed in the mesenchymal-like consensus molecular subtype 4 (CMS4) colon cancer. CAFs in co-culture were characterized by high expression of ECM components, ECM-remodeling enzymes, glycolysis, hypoxia, and genes involved in immunosuppression. An expression signature derived from CAFs in co-culture identified a subpopulation of glycolytic myofibroblasts specifically residing in CMS1 and CMS4 colon cancer. Medium conditioned by co-cultures contained high levels of the immunosuppressive factors TGFβ1, VEGFA and lactate, and potently inhibited T cell proliferation. Conclusion Co-cultures of organoids and immortalized CAFs recapitulate the histological, biophysical, and immunosuppressive features of aggressive mesenchymal-like human CRC. The model can be used to study the mechanisms of immunosuppression and to test therapeutic strategies targeting the cross-talk between CAFs and cancer cells. It can be further modified to represent distinct colon cancer subtypes and (organ-specific) microenvironments.
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Affiliation(s)
- Esther Strating
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Emerens Wensink
- Department of Medical Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ester Dünnebach
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Liza Wijler
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Itziar Aranguren
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Alberto Sanchez De la Cruz
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Niek A. Peters
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Joris H. Hageman
- Center for Molecular Medicine, Division LAB, University Medical Center Utrecht, Utrecht, Netherlands
| | - Mirjam M. C. van der Net
- Center for Molecular Medicine, Division LAB, University Medical Center Utrecht, Utrecht, Netherlands
| | - Susanne van Schelven
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jamila Laoukili
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Riccardo Fodde
- Department of Pathology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Jeanine Roodhart
- Department of Medical Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Stefan Nierkens
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Hugo Snippert
- Center for Molecular Medicine, Division LAB, University Medical Center Utrecht, Utrecht, Netherlands
| | - Martijn Gloerich
- Center for Molecular Medicine, Division LAB, University Medical Center Utrecht, Utrecht, Netherlands
| | - Inne Borel Rinkes
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Sjoerd G. Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Onno Kranenburg
- Laboratory Translational Oncology, Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
- Utrecht Platform for Organoid Technology, Utrecht University, Utrecht, Netherlands
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7
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Podaza E, Kuo HH, Nguyen J, Elemento O, Martin ML. Next generation patient derived tumor organoids. Transl Res 2022; 250:84-97. [PMID: 35964899 DOI: 10.1016/j.trsl.2022.08.003] [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] [Received: 06/16/2022] [Revised: 07/24/2022] [Accepted: 08/03/2022] [Indexed: 11/18/2022]
Abstract
Patient-derived tumor organoids (PDTOs) have emerged as exceptional pre-clinical models as they preserved, in most of the cases, the mutational landscape and tumor-clonal heterogeneity of the primary tumors. Despite being extensively used in disease modelling as well as in precision medicine for drug testing and discovery, they still have some limitations. The main limitation is that during their establishment they lose all components of the tumor microenvironment (TME) which are known modulators of tumor response to therapeutic treatment as well as disease progression. In this review we address the effects of different players of the TME such as immune cells, fibroblasts, endothelial cells and the extracellular matrix composition on tumor behavior and response to treatment as well as the different culture and co-culture strategies that could improve PDTOs value as pre-clinical models leading to the development of next generation PDTOs.
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Affiliation(s)
- Enrique Podaza
- Weill Cornell Medicine, Caryl and Israel Englander Institute for Precision Medicine, New York, New York
| | - Hui-Hsuan Kuo
- Weill Cornell Medicine, Caryl and Israel Englander Institute for Precision Medicine, New York, New York
| | - John Nguyen
- Weill Cornell Medicine, Caryl and Israel Englander Institute for Precision Medicine, New York, New York
| | - Olivier Elemento
- Weill Cornell Medicine, Caryl and Israel Englander Institute for Precision Medicine, New York, New York
| | - M Laura Martin
- Weill Cornell Medicine, Caryl and Israel Englander Institute for Precision Medicine, New York, New York.
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8
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Rathje F, Klingler S, Aberger F. Organoids for Modeling (Colorectal) Cancer in a Dish. Cancers (Basel) 2022; 14:cancers14215416. [PMID: 36358834 PMCID: PMC9655999 DOI: 10.3390/cancers14215416] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
Simple Summary Despite remarkable progress in the treatment of cancer patients, the medical need for drugs with better efficacy is still unmet and high. In addition to accurate prediction of drug efficacy for individual patients, pathophysiologically relevant preclinical model systems with increased predictive power are urgently needed to reduce the high rate of clinical trial failure in oncology. Organoids grown from patient material represent exceptionally valuable model systems to mimic and study human diseased tissues such as tumors. Here, we elaborate an overview of innovative and advanced organoid model systems and highlight the exciting opportunities of organoids for personalized precision medicine and the field of immuno-oncology drug development. Abstract Functional studies of primary cancer have been limited to animal models for a long time making it difficult to study aspects specific to human cancer biology. The development of organoid technology enabled us to culture human healthy and tumor cells as three-dimensional self-organizing structures in vitro for a prolonged time. Organoid cultures conserve the heterogeneity of the originating epithelium regarding cell types and tumor clonality. Therefore, organoids are considered an invaluable tool to study and genetically dissect various aspects of human cancer biology. In this review, we describe the applications, advantages, and limitations of organoids as human cancer models with the main emphasis on colorectal cancer.
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Jubelin C, Muñoz-Garcia J, Griscom L, Cochonneau D, Ollivier E, Heymann MF, Vallette FM, Oliver L, Heymann D. Three-dimensional in vitro culture models in oncology research. Cell Biosci 2022; 12:155. [PMID: 36089610 PMCID: PMC9465969 DOI: 10.1186/s13578-022-00887-3] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 08/18/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractCancer is a multifactorial disease that is responsible for 10 million deaths per year. The intra- and inter-heterogeneity of malignant tumors make it difficult to develop single targeted approaches. Similarly, their diversity requires various models to investigate the mechanisms involved in cancer initiation, progression, drug resistance and recurrence. Of the in vitro cell-based models, monolayer adherent (also known as 2D culture) cell cultures have been used for the longest time. However, it appears that they are often less appropriate than the three-dimensional (3D) cell culture approach for mimicking the biological behavior of tumor cells, in particular the mechanisms leading to therapeutic escape and drug resistance. Multicellular tumor spheroids are widely used to study cancers in 3D, and can be generated by a multiplicity of techniques, such as liquid-based and scaffold-based 3D cultures, microfluidics and bioprinting. Organoids are more complex 3D models than multicellular tumor spheroids because they are generated from stem cells isolated from patients and are considered as powerful tools to reproduce the disease development in vitro. The present review provides an overview of the various 3D culture models that have been set up to study cancer development and drug response. The advantages of 3D models compared to 2D cell cultures, the limitations, and the fields of application of these models and their techniques of production are also discussed.
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10
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Wang Z, Zhao S, Lin X, Chen G, Kang J, Ma Z, Wang Y, Li Z, Xiao X, He A, Xiang D. Application of Organoids in Carcinogenesis Modeling and Tumor Vaccination. Front Oncol 2022; 12:855996. [PMID: 35371988 PMCID: PMC8968694 DOI: 10.3389/fonc.2022.855996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 02/17/2022] [Indexed: 12/12/2022] Open
Abstract
Organoids well recapitulate organ-specific functions from their tissue of origin and remain fundamental aspects of organogenesis. Organoids are widely applied in biomedical research, drug discovery, and regenerative medicine. There are various cultivated organoid systems induced by adult stem cells and pluripotent stem cells, or directly derived from primary tissues. Researchers have drawn inspiration by combination of organoid technology and tissue engineering to produce organoids with more physiological relevance and suitable for translational medicine. This review describes the value of applying organoids for tumorigenesis modeling and tumor vaccination. We summarize the application of organoids in tumor precision medicine. Extant challenges that need to be conquered to make this technology be more feasible and precise are discussed.
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Affiliation(s)
- Zeyu Wang
- Department of Gastrointestinal Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shasha Zhao
- State Key Laboratory of Oncogenes and Related Genes, the Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaolin Lin
- Department of Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanglong Chen
- Department of General Surgery, Zhengzhou University, Affiliated Cancer Hospital (Henan Cancer Hospital), Zhengzhou, China
| | - Jiawei Kang
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China
| | | | - Yiming Wang
- Shanghai OneTar Biomedicine, Shanghai, China
| | - Zhi Li
- Department of General Surgery, Zhengzhou University, Affiliated Cancer Hospital (Henan Cancer Hospital), Zhengzhou, China
| | - Xiuying Xiao
- Department of Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aina He
- Department of Oncology, The Sixth People's Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dongxi Xiang
- State Key Laboratory of Oncogenes and Related Genes, Department of Biliary-Pancreatic Surgery, The Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
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11
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Wang J, Feng X, Li Z, Chen Y, Huang W. Patient-derived organoids as a model for tumor research. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 189:259-326. [PMID: 35595351 DOI: 10.1016/bs.pmbts.2022.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Cancer represents a leading cause of death, despite the rapid progress of cancer research, leading to urgent need for accurate preclinical model to further study of tumor mechanism and accelerate translational applications. Cancer cell lines cannot fully recapitulate tumors of different patients due to the lack of tumor complexity and specification, while the high technical difficulty, long time, and substantial cost of patient-derived xenograft model makes it unable to be used extensively for all types of tumors and large-scale drug screening. Patient-derived organoids can be established rapidly with a high success rate from many tumors, and precisely replicate the key histopathological, genetic, and phenotypic features, as well as therapeutic response of patient tumor. Therefore, they are extensively used in cancer basic research, biobanking, disease modeling and precision medicine. The combinations of cancer organoids with other advanced technologies, such as 3D bio-printing, organ-on-a-chip, and CRISPR-Cas9, contributes to the more complete replication of complex tumor microenvironment and tumorigenesis. In this review, we discuss the various methods of the establishment and the application of patient-derived organoids in diverse tumors as well as the limitations and future prospects of these models. Further advances of tumor organoids are expected to bridge the huge gap between bench and bedside and provide the unprecedented opportunities to advance cancer research.
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Affiliation(s)
- Jia Wang
- The First Affiliated Hospital of Shantou University, Shantou University Medical College, Shantou, China
| | - Xiaoying Feng
- The First Affiliated Hospital of Shantou University, Shantou University Medical College, Shantou, China
| | - Zhichao Li
- Department of Urology, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China; Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen, China; International Cancer Center of Shenzhen University, Shenzhen, China
| | - Yongsong Chen
- The First Affiliated Hospital of Shantou University, Shantou University Medical College, Shantou, China
| | - Weiren Huang
- The First Affiliated Hospital of Shantou University, Shantou University Medical College, Shantou, China; Department of Urology, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China; Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen, China; International Cancer Center of Shenzhen University, Shenzhen, China; Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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Rizzo G, Bertotti A, Leto SM, Vetrano S. Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer. J Exp Clin Cancer Res 2021; 40:178. [PMID: 34074330 PMCID: PMC8168319 DOI: 10.1186/s13046-021-01970-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 05/02/2021] [Indexed: 12/15/2022] Open
Abstract
Colorectal cancer (CRC), despite the advances in screening and surveillance, remains the second most common cause of cancer death worldwide. The biological inadequacy of pre-clinical models to fully recapitulate the multifactorial etiology and the complexity of tumor microenvironment and human CRC's genetic heterogeneity has limited cancer treatment development. This has led to the development of Patient-derived models able to phenocopy as much as possible the original inter- and intra-tumor heterogeneity of CRC, reflecting the tumor microenvironment's cellular interactions. Implantation of patient tissue into immunodeficient mice hosts and the culture of tumor organoids have allowed advances in cancer biology and metastasis. This review highlights the advantages and limits of Patient-derived models as innovative and valuable pre-clinical tools to study progression and metastasis of CRC, develop novel therapeutic strategies by creating a drug screening platform, and predict the efficacy of clinical response to therapy.
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Affiliation(s)
- Giulia Rizzo
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, 20090, Milan, Italy
| | - Andrea Bertotti
- Laboratory of Translational Cancer Medicine, Candiolo Cancer Institute - FPO IRCCs, Candiolo, 10060, Torino, Italy
- Department of Oncology, University of Torino School of Medicine, Candiolo, 10060, Torino, Italy
| | - Simonetta Maria Leto
- Laboratory of Translational Cancer Medicine, Candiolo Cancer Institute - FPO IRCCs, Candiolo, 10060, Torino, Italy
| | - Stefania Vetrano
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, 20090, Milan, Italy.
- IBD Center, Department of Gastroenterology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.
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