| Literature DB >> 36248802 |
Lea Miebach1,2, Julia Berner1,2,3, Sander Bekeschus1,2.
Abstract
Considering cancer not only as malignant cells on their own but as a complex disease in which tumor cells interact and communicate with their microenvironment has motivated the establishment of clinically relevant 3D models in past years. Technological advances gave rise to novel bioengineered models, improved organoid systems, and microfabrication approaches, increasing scientific importance in preclinical research. Notwithstanding, mammalian in vivo models remain closest to mimic the patient's situation but are limited by cost, time, and ethical constraints. Herein, the in ovo model bridges the gap as an advanced model for basic and translational cancer research without the need for ethical approval. With the avian embryo being a naturally immunodeficient host, tumor cells and primary tissues can be engrafted on the vascularized chorioallantoic membrane (CAM) with high efficiencies regardless of species-specific restrictions. The extraembryonic membranes are connected to the embryo through a continuous circulatory system, readily accessible for manipulation or longitudinal monitoring of tumor growth, metastasis, angiogenesis, and matrix remodeling. However, its applicability in immunoncological research is largely underexplored. Dual engrafting of malignant and immune cells could provide a platform to study tumor-immune cell interactions in a complex, heterogenic and dynamic microenvironment with high reproducibility. With some caveats to keep in mind, versatile methods for in and ex ovo monitoring of cellular and molecular dynamics already established in ovo are applicable alike. In this view, the present review aims to emphasize and discuss opportunities and limitations of the chicken embryo model for pre-clinical research in cancer and cancer immunology.Entities:
Keywords: CAM; cancer immunity; macrophages; oncology; patient-derived xenografts
Mesh:
Year: 2022 PMID: 36248802 PMCID: PMC9556724 DOI: 10.3389/fimmu.2022.1006064
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Advantages and limitations of methods that have been established in ovo.
| Readout | Purpose (examples) | Requirements | Advantages | Limitations | Reference (DOI) | |
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| - tumor mass | - precision scale | - easy feasibility | - unprecise and volatile (surrounding stroma) | ( | |
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| - angiogenesis | -TIVITA camera and computer | - easy feasibility | - time-consuming evaluation | ( | |
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| - tumor growth | - stereomicroscope | - easy feasibility | - costly equipment | ( | |
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| - tumor growth | - luciferase-transduced/fluorescent cells | - precise determination of (viable) tumor mass | - requires inoculation of | – | |
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| - tumor growth | - luciferase-transduced cells | - monitoring of tumor growth at multiple timepoints | - requires inoculation of luciferase-transduced cells | ( | |
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| - tumor growth | - MRI and equipment | - noninvasive | - time-consuming | ( | |
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| - repetitive visualization of tumor growth and vascularization | - ultrasonographic scanner/ultrasound devicetab | - cost efficient | - interpretation depends on operator and manually adjusted machine settings | ( | |
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| - toxicity | - cytometer | - enables broad range of downstream assays | - samples are sticky | ( | |
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| - apoptosis | - kryotome/microtome | - enables visualization of immune cell infiltration | - time consuming sample preparation | ( | |
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| - growth factors | - ELISA | - species specificity | - multiplex assay costly | – | |
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| - underlying molecular mechanisms | - tissue dissociator | - underlying mechanisms | - tissue sampling | ( | |
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| - protein expression analysis | - tissue dissociator | - sensitivity | - low protein yield | ( | |
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| - protein expression analysis | - tissue dissociator | - underlying mechanisms | - low protein yield | ( | |
List of cell lines that have been engrafted in ovo.
| Cell linelaboratory | Entity | Species | Seeding number | Tumor weight (mg) | Days p.i. | Reference (DOI) |
|---|---|---|---|---|---|---|
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| squamous cell | human | 1 x 106 | 46.1 | 7 | unpublished |
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| lung | human | 3 x 106 | 33.0 | 10 | ( |
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| melanoma | human | 2 x 106 | 34.0 | 7 | ( |
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| melanoma | murine | 1 x 106 | 36.0 | 6 | unpublished |
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| colon | murine | 1 x 106 | 30.6 | 6 | ( |
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| colon | murine | 2 x 106 | 32.6 | 6 | ( |
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| colon | human | 1 x 106 | 35.2 | 6 | unpublished |
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| fibrosarcoma | human | 8 x 104 | 64.0 | 7 | ( |
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| pancreatic | murine | 1 x 106 | 25.6 | 7 | unpublished |
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| colon | human | 1 x 106 | 6.60 | 7 | unpublished |
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| breast | human | 2 x 106 | 5.10 | 9 | ( |
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| breast | human | 1 x 106 | 74.0 | 9 | ( |
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| pancreatic | human | 2 x 106 | 93.3 | 6 | ( |
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| pancreatic | human | 2 x 106 | 14.0 | 5 | ( |
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| pancreatic | human | 2 x 106 | 52.0 | 7 | ( |
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| pancreatic | human | 2 x 106 | 33.0 | 6 | ( |
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| pancreatic | human | 1 x 106 | 39.3 | 6 | unpublished |
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| pancreatic | human | 2 x 106 | 27.5 | 6 | ( |
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| pancreatic | human | 2 x 106 | 105 | 6 | ( |
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| pancreatic | human | 2 x 106 | 24.0 | 6 | ( |
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| pancreatic | human | 2 x 106 | 30.5 | 6 | ( |
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| pancreatic | murine | 2 x 106 | 37.5 | 3 | ( |
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| pancreatic | murine | 2 x 106 | 35.0 | 6 | ( |
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| retinoblastoma | human | 1 x 106 | 50.0 | 7 | ( |
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| urothelial | human | 1 x 106 | 9.72 | 7 | unpublished |
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| stellate cells | human | 2 x 106 | 8.00 | 5 | ( |
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| stellate cells | human | 2 x 106 | 13.0 | 7 | ( |
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| urothelial | human | 1 x 106 | 23.6 | 7 | unpublished |
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| squamous cell | murine | 2 x 106 | 36.0 | 6 | ( |
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| ovarian | human | 1 x 106 | 39.9 | 6 | unpublished |
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| urothelial | human | 1 x 106 | 20.0 | 7 | unpublished |
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| neuroblastoma | human | 1 x 106 | 70.0 | 7 | ( |
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| retinoblastoma | human | 1 x 106 | 52.0 | 7 | ( |
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| retinoblastoma | human | 1 x 106 | 62.0 | 7 | ( |
1 ZIK plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany; 2 Cancer Target and Experimental Therapeutics, Institute for Advanced Biosciences, INSERM U1209, CNRS UMR5309, Grenoble Alpes University, Grenoble, France; 3 Research Group PLASMANT, Department of Chemistry, University of Antwerp, BE2610 Wilrijk-Antwerp, Belgium; 4 Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada; 5 Department of Internal Medicine II, University Hospital Ulm, Ulm, Germany; 6 Department of Physiology and Biophysics, Weill Cornell Medicine—Qatar, Doha 24144, Qatar; 7 Department of General, Visceral, Thoracic, and Vascular Surgery, Greifswald University Medical Center, 17475 Greifswald, Germany; 8 Institute of Anatomy II, Department of Neuroanatomy, University of Duisburg-Essen, Germany; 9 Research Group for Molecular Biology and Nanomedicine, Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czechia.
Figure 1General experimental procedure of the tumor chorioallantoic membrane model.
Figure 2Intravital monitoring of angiogenesis, tumor growth, and assessment of tumor weight (11, 13).
Figure 3Downstream analysis of excised in ovo-grown tumors at macroscopic, cellular, and molecular levels.
Figure 4Addressing the hallmarks of cancer in ovo.
Studies that focused on tumor-immune cell interactions in ovo.
| Tumor cell line | Immune cell type | Immune cell origin | Species | E:T Ratio | Read-out | Reference (DOI) |
|---|---|---|---|---|---|---|
| PDA6606 (pancreas) | RAW264.7 | immortalized | murine | 1:1 | - macroscopic remodeling (angiogenesis, matrix) | ( |
| HT-29 (colon) | moDCs | PBMCs | human | 1:1 | - weight | ( |
| Panc-01 (pancreas) | ||||||
| SKOV-3 (ovarian) |
Figure 5Applicability and limitations of the in ovo model in immuno-oncological research.
Figure 6Cells and tissues that can be engrafted in ovo.