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Artegiani B, Hendriks D. Organoids from pluripotent stem cells and human tissues: When two cultures meet each other. Dev Cell 2025; 60:493-511. [PMID: 39999776 DOI: 10.1016/j.devcel.2025.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/13/2024] [Accepted: 01/10/2025] [Indexed: 02/27/2025]
Abstract
Human organoids are a widely used tool in cell biology to study homeostatic processes, disease, and development. The term organoids covers a plethora of model systems from different cellular origins that each have unique features and applications but bring their own challenges. This review discusses the basic principles underlying organoids generated from pluripotent stem cells (PSCs) as well as those derived from tissue stem cells (TSCs). We consider how well PSC- and TSC-organoids mimic the different intended organs in terms of cellular complexity, maturity, functionality, and the ongoing efforts to constitute predictive complex models of in vivo situations. We discuss the advantages and limitations associated with each system to answer different biological questions including in the field of cancer and developmental biology, and with respect to implementing emerging advanced technologies, such as (spatial) -omics analyses, CRISPR screens, and high-content imaging screens. We postulate how the two fields may move forward together, integrating advantages of one to the other.
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Affiliation(s)
| | - Delilah Hendriks
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
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2
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Tong X, Poramba-Liyanage DW, van Hoolwerff M, Riemers FM, Montilla-Rojo J, Warin J, Salvatori D, Camus A, Meulenbelt I, Ramos YFM, Geijsen N, Tryfonidou MA, Shang P. Isolation and tracing of matrix-producing notochordal and chondrocyte cells using ACAN-2A-mScarlet reporter human iPSC lines. SCIENCE ADVANCES 2024; 10:eadp3170. [PMID: 39441923 PMCID: PMC11498221 DOI: 10.1126/sciadv.adp3170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 09/17/2024] [Indexed: 10/25/2024]
Abstract
The development of human induced pluripotent stem cell (iPSC)-based regenerative therapies is challenged by the lack of specific cell markers to isolate differentiated cell types and improve differentiation protocols. This issue is particularly critical for notochordal-like cells and chondrocytes, which are crucial in treating back pain and osteoarthritis, respectively. Both cell types produce abundant proteoglycan aggrecan (ACAN), crucial for the extracellular matrix. We generated two human iPSC lines containing an ACAN-2A-mScarlet reporter. The reporter cell lines were validated using CRISPR-mediated transactivation and functionally validated during notochord and cartilage differentiation. The ability to isolate differentiated cell populations producing ACAN enables their enrichment even in the absence of specific cell markers and allows for comprehensive studies and protocol refinement. ACAN's prevalence in various tissues (e.g., cardiac and cerebral) underscores the reporter's versatility as a valuable tool for tracking matrix protein production in diverse cell types, benefiting developmental biology, matrix pathophysiology, and regenerative medicine.
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Affiliation(s)
- Xiaole Tong
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Deepani W. Poramba-Liyanage
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Marcella van Hoolwerff
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Frank M. Riemers
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Joaquin Montilla-Rojo
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Julie Warin
- Université de Nantes, CHU Nantes, Inserm, CR2TI, 44000 Nantes, France
| | - Daniela Salvatori
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Anne Camus
- Université de Nantes, CHU Nantes, Inserm, CR2TI, 44000 Nantes, France
| | - Ingrid Meulenbelt
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Yolande F. M. Ramos
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Niels Geijsen
- Department of Anatomy and Embryology, Leiden University Medical Center, Einthovenweg 20, 2300 RC Leiden, Netherlands
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden node, Leiden, Netherlands
| | - Marianna A. Tryfonidou
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, Netherlands
| | - Peng Shang
- Department of Anatomy and Embryology, Leiden University Medical Center, Einthovenweg 20, 2300 RC Leiden, Netherlands
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden node, Leiden, Netherlands
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3
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Aalam SMM, Nguyen LV, Ritting ML, Kannan N. Clonal tracking in cancer and metastasis. Cancer Metastasis Rev 2024; 43:639-656. [PMID: 37910295 PMCID: PMC11500829 DOI: 10.1007/s10555-023-10149-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
The eradication of many cancers has proven challenging due to the presence of functionally and genetically heterogeneous clones maintained by rare cancer stem cells (CSCs), which contribute to disease progression, treatment refractoriness, and late relapse. The characterization of functional CSC activity has necessitated the development of modern clonal tracking strategies. This review describes viral-based and CRISPR-Cas9-based cellular barcoding, lineage tracing, and imaging-based approaches. DNA-based cellular barcoding technology is emerging as a powerful and robust strategy that has been widely applied to in vitro and in vivo model systems, including patient-derived xenograft models. This review also highlights the potential of these methods for use in the clinical and drug discovery contexts and discusses the important insights gained from such approaches.
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Affiliation(s)
| | - Long Viet Nguyen
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Megan L Ritting
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Nagarajan Kannan
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
- Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA.
- Center for Regenerative Biotherapeutics, Mayo Clinic, Rochester, MN, USA.
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4
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Zhang N, Harbers L, Simonetti M, Diekmann C, Verron Q, Berrino E, Bellomo SE, Longo GMC, Ratz M, Schultz N, Tarish F, Su P, Han B, Wang W, Onorato S, Grassini D, Ballarino R, Giordano S, Yang Q, Sapino A, Frisén J, Alkass K, Druid H, Roukos V, Helleday T, Marchiò C, Bienko M, Crosetto N. High clonal diversity and spatial genetic admixture in early prostate cancer and surrounding normal tissue. Nat Commun 2024; 15:3475. [PMID: 38658552 PMCID: PMC11043350 DOI: 10.1038/s41467-024-47664-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: 08/10/2023] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Abstract
Somatic copy number alterations (SCNAs) are pervasive in advanced human cancers, but their prevalence and spatial distribution in early-stage, localized tumors and their surrounding normal tissues are poorly characterized. Here, we perform multi-region, single-cell DNA sequencing to characterize the SCNA landscape across tumor-rich and normal tissue in two male patients with localized prostate cancer. We identify two distinct karyotypes: 'pseudo-diploid' cells harboring few SCNAs and highly aneuploid cells. Pseudo-diploid cells form numerous small-sized subclones ranging from highly spatially localized to broadly spread subclones. In contrast, aneuploid cells do not form subclones and are detected throughout the prostate, including normal tissue regions. Highly localized pseudo-diploid subclones are confined within tumor-rich regions and carry deletions in multiple tumor-suppressor genes. Our study reveals that SCNAs are widespread in normal and tumor regions across the prostate in localized prostate cancer patients and suggests that a subset of pseudo-diploid cells drive tumorigenesis in the aging prostate.
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Affiliation(s)
- Ning Zhang
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Luuk Harbers
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Michele Simonetti
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Constantin Diekmann
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Quentin Verron
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Enrico Berrino
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Sara E Bellomo
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Oncology, University of Turin, Turin, Italy
| | | | - Michael Ratz
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
| | - Niklas Schultz
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | | | - Peng Su
- Department of Pathology, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Bo Han
- Department of Pathology, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Wanzhong Wang
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Sofia Onorato
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Dora Grassini
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Roberto Ballarino
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
| | - Silvia Giordano
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Oncology, University of Turin, Turin, Italy
| | - Qifeng Yang
- Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Ji'nan, 250012, China
| | - Anna Sapino
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Jonas Frisén
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
| | - Kanar Alkass
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Henrik Druid
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Vassilis Roukos
- Institute of Molecular Biology (IMB), Mainz, 55128, Germany
- Department of General Biology, Medical School, University of Patras, Patras, Greece
| | - Thomas Helleday
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Caterina Marchiò
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, SP142, km 3,95, 10060, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Magda Bienko
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden
- Science for Life Laboratory, Stockholm, 17177, Sweden
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Nicola Crosetto
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
- Science for Life Laboratory, Stockholm, 17177, Sweden.
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
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5
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Bhatia S, Khanna KK, Duijf PHG. Targeting chromosomal instability and aneuploidy in cancer. Trends Pharmacol Sci 2024; 45:210-224. [PMID: 38355324 DOI: 10.1016/j.tips.2024.01.009] [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: 12/21/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 02/16/2024]
Abstract
Cancer development and therapy resistance are driven by chromosomal instability (CIN), which causes chromosome gains and losses (i.e., aneuploidy) and structural chromosomal alterations. Technical limitations and knowledge gaps have delayed therapeutic targeting of CIN and aneuploidy in cancers. However, our toolbox for creating and studying aneuploidy in cell models has greatly expanded recently. Moreover, accumulating evidence suggests that seven conventional antimitotic chemotherapeutic drugs achieve clinical response by inducing CIN instead of mitotic arrest, although additional anticancer activities may also contribute in vivo. In this review, we discuss these recent developments. We also highlight new discoveries, which together show that 25 chromosome arm aneuploidies (CAAs) may be targetable by 36 drugs across 14 types of cancer. Collectively, these advances offer many new opportunities to improve cancer treatment.
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Affiliation(s)
- Sugandha Bhatia
- Queensland University of Technology (QUT), School of Biomedical Sciences, Centre for Genomics and Personalised Health and Centre for Biomedical Technologies at the Translational Research Institute, Woolloongabba, QLD 4102, Australia.
| | - Kum Kum Khanna
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia; Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Pascal H G Duijf
- Queensland University of Technology (QUT), School of Biomedical Sciences, Centre for Genomics and Personalised Health and Centre for Biomedical Technologies at the Translational Research Institute, Woolloongabba, QLD 4102, Australia; Centre for Cancer Biology, Clinical and Health Sciences, University of South Australia and SA Pathology, Adelaide, SA 5001, Australia; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
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6
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Andel D, Viergever BJ, Peters NA, Elisabeth Raats DA, Schenning-van Schelven SJ, Willem Intven MP, Zandvliet M, Hagendoorn J, Max Borel Rinkes IH, Kranenburg O. Pre-existing subclones determine radioresistance in rectal cancer organoids. Cell Rep 2024; 43:113735. [PMID: 38310513 DOI: 10.1016/j.celrep.2024.113735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/05/2023] [Accepted: 01/17/2024] [Indexed: 02/06/2024] Open
Abstract
More than half of all patients with cancer receive radiation therapy, but resistance is commonly observed. Currently, it is unknown whether resistance to radiation therapy is acquired or inherently present. Here, we employed organoids derived from rectal cancer and single-cell whole-genome sequencing to investigate the long-term evolution of subclones in response to radiation. Comparing single-cell whole-genome karyotypes between in-vitro-unirradiated and -irradiated organoids revealed three patterns of subclonal evolution: (1) subclonal persistence, (2) subclonal extinction, and (3) subclonal expansion. Organoids in which subclonal shifts occurred (i.e., expansion or extinction) became more resistant to radiation. Although radioresistant subclones did not share recurrent copy-number alterations that could explain their radioresistance, resistance was associated with reduced chromosomal instability, an association that was also observed in 529 human cancer cell lines. These data suggest that resistance to radiation is inherently present and associated with reduced chromosomal instability.
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Affiliation(s)
- Daan Andel
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Bas Jeroen Viergever
- Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Niek Alexander Peters
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | | | | | - Martijn Peter Willem Intven
- Department of Radiation Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Maurice Zandvliet
- Department of Clinical Sciences - Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jeroen Hagendoorn
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Inne Hilbrand Max Borel Rinkes
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands.
| | - Onno Kranenburg
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Utrecht Platform for Organoid Technology, Utrecht University, Utrecht, the Netherlands.
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7
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Xue Y, Su Z, Lin X, Ho MK, Yu KHO. Single-cell lineage tracing with endogenous markers. Biophys Rev 2024; 16:125-139. [PMID: 38495438 PMCID: PMC10937880 DOI: 10.1007/s12551-024-01179-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/18/2024] [Indexed: 03/19/2024] Open
Abstract
Resolving lineage relationships between cells in an organism provides key insights into the fate of individual cells and drives a fundamental understanding of the process of development and disease. A recent rapid increase in experimental and computational advances for detecting naturally occurring somatic nuclear and mitochondrial mutation at single-cell resolution has expanded lineage tracing from model organisms to humans. This review discusses the advantages and challenges of experimental and computational techniques for cell lineage tracing using somatic mutation as endogenous DNA barcodes to decipher the relationships between cells during development and tumour evolution. We outlook the advantages of spatial clonal evolution analysis and single-cell lineage tracing using endogenous genetic markers.
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Affiliation(s)
- Yan Xue
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
| | - Zezhuo Su
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
- Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xinyi Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Mun Kay Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ken H. O. Yu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
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8
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Addala V, Newell F, Pearson JV, Redwood A, Robinson BW, Creaney J, Waddell N. Computational immunogenomic approaches to predict response to cancer immunotherapies. Nat Rev Clin Oncol 2024; 21:28-46. [PMID: 37907723 DOI: 10.1038/s41571-023-00830-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/02/2023]
Abstract
Cancer immunogenomics is an emerging field that bridges genomics and immunology. The establishment of large-scale genomic collaborative efforts along with the development of new single-cell transcriptomic techniques and multi-omics approaches have enabled characterization of the mutational and transcriptional profiles of many cancer types and helped to identify clinically actionable alterations as well as predictive and prognostic biomarkers. Researchers have developed computational approaches and machine learning algorithms to accurately obtain clinically useful information from genomic and transcriptomic sequencing data from bulk tissue or single cells and explore tumours and their microenvironment. The rapid growth in sequencing and computational approaches has resulted in the unmet need to understand their true potential and limitations in enabling improvements in the management of patients with cancer who are receiving immunotherapies. In this Review, we describe the computational approaches currently available to analyse bulk tissue and single-cell sequencing data from cancer, stromal and immune cells, as well as how best to select the most appropriate tool to address various clinical questions and, ultimately, improve patient outcomes.
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Affiliation(s)
- Venkateswar Addala
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
| | - Felicity Newell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - John V Pearson
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Alec Redwood
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
| | - Bruce W Robinson
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Jenette Creaney
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Nicola Waddell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
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9
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Truong MA, Cané-Gasull P, Lens SMA. Modeling specific aneuploidies: from karyotype manipulations to biological insights. Chromosome Res 2023; 31:25. [PMID: 37640903 PMCID: PMC10462580 DOI: 10.1007/s10577-023-09735-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/11/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023]
Abstract
An abnormal chromosome number, or aneuploidy, underlies developmental disorders and is a common feature of cancer, with different cancer types exhibiting distinct patterns of chromosomal gains and losses. To understand how specific aneuploidies emerge in certain tissues and how they contribute to disease development, various methods have been developed to alter the karyotype of mammalian cells and mice. In this review, we provide an overview of both classic and novel strategies for inducing or selecting specific chromosomal gains and losses in human and murine cell systems. We highlight how these customized aneuploidy models helped expanding our knowledge of the consequences of specific aneuploidies to (cancer) cell physiology.
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Affiliation(s)
- My Anh Truong
- Oncode Institute and Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584, CG, Utrecht, The Netherlands
| | - Paula Cané-Gasull
- Oncode Institute and Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584, CG, Utrecht, The Netherlands
| | - Susanne M A Lens
- Oncode Institute and Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584, CG, Utrecht, The Netherlands.
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10
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Betge J, Jackstadt R. From organoids to bedside: Advances in modeling, decoding and targeting of colorectal cancer. Int J Cancer 2023; 152:1304-1313. [PMID: 36121667 DOI: 10.1002/ijc.34297] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/25/2022] [Accepted: 09/13/2022] [Indexed: 02/03/2023]
Abstract
Patient derived organoids closely resemble the biology of tissues and tumors. They are enabling ex vivo modeling of human diseases and dissecting key features of tumor biology like anatomical diversity or inter- and intra-tumoral heterogeneity. In the last years, organoids were established as models for drug discovery and explored to guide clinical decision making. In this review, we discuss the recent developments in organoid based research, elaborating on the developments in colorectal cancer as a prime example. We focus our review on the role of organoids to decode cancer cell dynamics and tumor microenvironmental complexity with the underlying bi-directional crosstalk. Additionally, advancements in the development of living biobanks, screening approaches, organoid based precision medicine and challenges of co-clinical trials are highlighted. We discuss ongoing efforts to overcome challenges that the field faces and indicate potential future directions.
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Affiliation(s)
- Johannes Betge
- Junior Clinical Cooperation Unit Translational Gastrointestinal Oncology and Preclinical Models, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
| | - Rene Jackstadt
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.,Cancer Progression and Metastasis Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Abstract
Studies in animal models tracing organogenesis of the mesoderm-derived heart have emphasized the importance of signals coming from adjacent endodermal tissues in coordinating proper cardiac morphogenesis. Although in vitro models such as cardiac organoids have shown great potential to recapitulate the physiology of the human heart, they are unable to capture the complex crosstalk that takes place between the co-developing heart and endodermal organs, partly due to their distinct germ layer origins. In an effort to address this long-sought challenge, recent reports of multilineage organoids comprising both cardiac and endodermal derivatives have energized the efforts to understand how inter-organ, cross-lineage communications influence their respective morphogenesis. These co-differentiation systems have produced intriguing findings of shared signaling requirements for inducing cardiac specification together with primitive foregut, pulmonary, or intestinal lineages. Overall, these multilineage cardiac organoids offer an unprecedented window into human development that can reveal how the endoderm and heart cooperate to direct morphogenesis, patterning, and maturation. Further, through spatiotemporal reorganization, the co-emerged multilineage cells self-assemble into distinct compartments as seen in the cardiac-foregut, cardiac-intestine, and cardiopulmonary organoids and undergo cell migration and tissue reorganization to establish tissue boundaries. Looking into the future, these cardiac incorporated, multilineage organoids will inspire future strategies for improved cell sourcing for regenerative interventions and provide more effective models for disease investigation and drug testing. In this review, we will introduce the developmental context of coordinated heart and endoderm morphogenesis, discuss strategies for in vitro co-induction of cardiac and endodermal derivatives, and finally comment on the challenges and exciting new research directions enabled by this breakthrough.
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Affiliation(s)
- Wai Hoe Ng
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
| | - Barbie Varghese
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
| | - Hongpeng Jia
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Xi Ren
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
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Hughes T, Dijkstra KK, Rawlins EL, Hynds RE. Open questions in human lung organoid research. Front Pharmacol 2023; 13:1083017. [PMID: 36712670 PMCID: PMC9880211 DOI: 10.3389/fphar.2022.1083017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
Organoids have become a prominent model system in pulmonary research. The ability to establish organoid cultures directly from patient tissue has expanded the repertoire of physiologically relevant preclinical model systems. In addition to their derivation from adult lung stem/progenitor cells, lung organoids can be derived from fetal tissue or induced pluripotent stem cells to fill a critical gap in modelling pulmonary development in vitro. Recent years have seen important progress in the characterisation and refinement of organoid culture systems. Here, we address several open questions in the field, including how closely organoids recapitulate the tissue of origin, how well organoids recapitulate patient cohorts, and how well organoids capture diversity within a patient. We advocate deeper characterisation of models using single cell technologies, generation of more diverse organoid biobanks and further standardisation of culture media.
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Affiliation(s)
- Tessa Hughes
- Wellcome Trust/CRUK Gurdon Institute and Department Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Krijn K. Dijkstra
- Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Emma L. Rawlins
- Wellcome Trust/CRUK Gurdon Institute and Department Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Robert E. Hynds
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, Great Ormond Street UCL Institute of Child Health, University College London, London, United Kingdom
- CRUK Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
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13
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van den Bosch T, Derks S, Miedema DM. Chromosomal Instability, Selection and Competition: Factors That Shape the Level of Karyotype Intra-Tumor Heterogeneity. Cancers (Basel) 2022; 14:4986. [PMID: 36291770 PMCID: PMC9600040 DOI: 10.3390/cancers14204986] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 12/03/2022] Open
Abstract
Intra-tumor heterogeneity (ITH) is a pan-cancer predictor of survival, with high ITH being correlated to a dismal prognosis. The level of ITH is, hence, a clinically relevant characteristic of a malignancy. ITH of karyotypes is driven by chromosomal instability (CIN). However, not all new karyotypes generated by CIN are viable or competitive, which limits the amount of ITH. Here, we review the cellular processes and ecological properties that determine karyotype ITH. We propose a framework to understand karyotype ITH, in which cells with new karyotypes emerge through CIN, are selected by cell intrinsic and cell extrinsic selective pressures, and propagate through a cancer in competition with other malignant cells. We further discuss how CIN modulates the cell phenotype and immune microenvironment, and the implications this has for the subsequent selection of karyotypes. Together, we aim to provide a comprehensive overview of the biological processes that shape the level of karyotype heterogeneity.
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Affiliation(s)
- Tom van den Bosch
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam and Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers—Location AMC, 1105 AZ Amsterdam, The Netherlands
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
| | - Sarah Derks
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
- Department of Medical Oncology, Amsterdam University Medical Centers—Location VUmc, 1081 HV Amsterdam, The Netherlands
| | - Daniël M. Miedema
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam and Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers—Location AMC, 1105 AZ Amsterdam, The Netherlands
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
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