| Literature DB >> 35495097 |
Elena García-Gareta1,2,3, María Ángeles Pérez2, José Manuel García-Aznar2.
Abstract
Cancer is one of the leading causes of death worldwide. The tumour extracellular matrix (ECM) has unique features in terms of composition and mechanical properties, resulting in a structurally and chemically different ECM to that of native, healthy tissues. This paper reviews to date the efforts into decellularization of tumours, which in the authors' view represents a new frontier in the ever evolving field of tumour tissue engineering. An overview of the ECM and its importance in cancer is given, ending with examples of research using decellularized tumours, which has already indicated potential therapeutic targets, unravelled malignancy mechanisms or response to chemotherapy agents. The review highlights that more research is needed in this area, which can answer important questions related to tumour formation and progression to ultimately identify new and effective therapeutic targets. Within the near-future of personalized medicine, this research can create patient-specific tumour models and therapeutic regimes.Entities:
Keywords: Cancer; decellularization; decellularized tumour; extracellular matrix; tumour
Year: 2022 PMID: 35495097 PMCID: PMC9044784 DOI: 10.1177/20417314221091682
Source DB: PubMed Journal: J Tissue Eng ISSN: 2041-7314 Impact factor: 7.940
Figure 1.PubMed search for the phrase ‘decellularized tumour’ showing results from 2010 until 2021. Results are broken down into articles reporting into actual dT-ECM (decellularized tumour ECM), reviews, and the rest (studies where decellularized healthy ECM was used for tissue-engineered tumour models).
Summary of tumour tissue sources discussed in the text.
| Origin | Source | Advantages | Disadvantages |
|---|---|---|---|
| Human derived[ | Tumours isolated from human patients | - Have a tumour ECM that is truthful to the real-life situation | - Procurement of ethical approval and patient
consent |
| Tumours isolated from xenotransplantation models | - Have a tumour ECM that is truthful to the real-life
situation | - Procurement of ethical approval and patient
consent | |
| Animal derived[ | Animal models of cancer | - Eliminates subject variability | - The tumour ECM will differ from that found in
human tumours |
| Induced | - Eliminates subject variability | ||
| Cell culture derived[ | Cultured primary cancer cells | - Eliminates issue of tissue
availability | - The tumour ECM will differ from that found in
human tumours |
| Cultured cancer cell lines |
Figure 2.(a) Generation of tumours with MDA-MB-231 xenografts (231-tumour) and tumours from PyMT-MMTV (PyMT-tumour) mice. (b) Study design. (c) Haematoxylin and eosin (H&E) staining of mammary gland, 231-tumours and PyMT-tumours before and after decellularization (scale bar = 200 μm). (d) Representative western blot of 231-tumour before and after decellularization for cellular compartments. (e) Photo before and after decellularization of PyMT-tumour. (f) Representative tracks (each line is a cell over 16 h) of 231-GFP or PyMT-GFP cells seeded on decellularized ECM from mammary gland (Mg), 231-tumours or PyMT-tumour. (g) Percentage of proliferation for 231-GFP cells on healthy mammary gland or 231-tumour. (h) Cell migration speed of 231-GFP seeded on decellularized ECM from mammary gland and 231-tumours. (i) Percentage of proliferation for PyMT-GFP cells on mammary gland or PyMT-tumour scaffolds. (j) Cell migration speed of PyMT-GFP seeded on decellularized ECM from mammary gland and PyMT-tumours. For proliferation, data point is a field of view. For cell migration, each point is the average speed of a cell over 16 h. Data shows mean ± SEM from at least three decellularized ECM scaffolds from three mice. Statistical significance was analysed by unpaired two-tailed Mann Whitney t test. **p < 0.01 and ***p < 0.005. ns, not significant. Image from Wishart et al. 2020 (open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited).
Summary of decellularization methods used to decellularize tissues including tumours.
| Method | Agent (examples)/technique | Description | Comments |
|---|---|---|---|
| Biological[ | Enzymes | - Nucleases break down DNA or RNA fragments. | - Ineffective on their own so they are used in combination with other methods and agents. |
| Chemical[ | Surfactants | - Surfactants disarrange the phospholipid cell membrane,
thereby lysing cells. | - SDS is effective at removing cells and genetic material
but it is cytotoxic, thus it needs extensive
washing. |
| Acids and bases | - Acids and bases solubilize the cell membrane and nuclear material due to their intrinsic charge properties. | - Peracetic acid is highly corrosive and has a strongly
oxidising nature. | |
| Hypotonic and hypertonic solutions | - These solutions use osmotic properties to make the cells explode. | - The osmotic shock kills the cells, but it does not remove the cell waste that it releases to the matrix. | |
| Physical[ | Agitation/stirring/rotation/shaking | - Commonly used to facilitate chemical agent infiltration and to induce cell lysis. | - As a facilitator, it needs to be used in combination with
other methods. |
| Freeze-thaw | - Freezing temperatures are alternated with biological temperatures for an optimized number of cycles, thereby lysing cells. | - Ineffective at removing cells and genetic
material. | |
| High hydrostatic pressure | - Applying pressures above 600 MPa to dismantle the cellular membrane. | - It can be used on its own. | |
| Supercritical CO2 | - Supercritical fluids have liquid-like density and gas-like
diffusivity. | - CO2 does not remain within the tissue and
therefore, extensive washing is not required. | |
| Sonication | - Sonication is the process of applying sound energy to
agitate samples in a liquid. | - As a facilitator, it needs to be used in combination with
other methods. | |
| Vacuum-assisted decellularization | - Enables chemical agents to reach the more inner parts of the tissue. | - As a facilitator, it needs to be used in combination with other methods. |
Summary of common methods used in the characterization of decellularized ECM, either obtained from healthy tissue or tumours.
| Purpose | Characterization method | Comments |
|---|---|---|
| Elimination of cellular material | H&E staining | Stains cell nuclei purple/blue and the ECM pink |
| DAPI or Hoechst stainings | Bind to AT-rich regions of dsDNA | |
| Masson’s trichrome staining | Stains cell cytoplasm red and collagens blue | |
| Quantification of DNA content | Quantifies the amount of DNA present in the ECM | |
| Preservation of the original ECM | Immunohistochemical staining of specific ECM components, e.g. laminin, fibronectin, collagens type I and IV | Detects the pattern of expression of specific ECM components |
| Alcian blue or Toluidine blue stainings | Stain glycosaminoglycans (GAGs) blue | |
| Periodic acid-Schiff staining | Detects polysaccharides like glycogen, and mucosubstances such as glycoproteins, glycolipids and mucins in tissues | |
| Silver stain | Detects reticular collagen fibres | |
| Quantification of collagen content | Quantifies the total amount of collagen present in the ECM | |
| Quantification of GAGs content | Quantifies the total amount of GAGs present in the ECM | |
| Proteomics | Characterizes the proteome, that is, the entire set of proteins present in the ECM. | |
| Fourier transform infrared spectroscopy (FTIR) | Characterizes the infrared spectrum of the ECM | |
| Scanning electron microscopy (SEM) | Characterizes the architectural features of the ECM, e.g. pores, fibres | |
| Quantification of architectural parameters with an image analysis software | Characterizes percentage of porosity, pore size range or fibre diameter | |
| Mechanical testing | Characterizes mechanical properties of interest, which include tensile strength, elastic modulus, stiffness or yield strength | |
| Rheology | Characterizes the viscoelastic properties of the ECM |
Table compiled from references.[12,55,56,61,75–78,89]
Figure 3.Example of cellular removal evaluation in the decellularization of solid tumours derived from A549 human pulmonary adenocarcinoma cell xenotransplantation using different procedures: peroxyacetic acid (PAA), Trypsin-Triton, Tris-Trypsin-Triton and SDS. (a) Gross appearance showing change in colour and light transmittance. (b) H&E and (c) Hoechst stainings showing complete cellular removal for some of the decellularization treatments (i.e. Tris-Trypsin-Triton and SDS). (d) Immunohistochemical staining for CK7 and (e) α-SMA showing complete removal of epithelial and mesenchymal cell components for Tris-Trypsin-Triton treated or SDS treatments. (f) DNA content quantification showing mean ± SD (n = 10, *p < 0.05 versus the native group). Statistical significance was analysed between multiple groups using the one-way analysis of variance (ANOVA) followed by Tukey’s multiple comparison tests. A value of p < 0.05 was considered significant (†p < 0.05 versus the PAA group; #p < 0.05 versus the Trypsin-Triton group). Image from Lü et al. 2014 (open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited).
Figure 4.Conceptual diagram showing the main points discussed in this review. Tumours can be obtained from various tissue sources, namely human, animal or cell culture-derived. They can then be decellularized to obtain dT-ECM which possess the distinct composition, architecture and mechanical properties of the tumour ECM. In order to create tissue engineered tumour models, the dT-ECM can be repopulated with cells found in the TME. These models could be cultured using a variety of culture systems and used to study the interplay between TME cells and the tumour ECM, malignancy and angiogenesis mechanisms, proteomics, novel therapeutic targets, effect of anti-cancer drugs, and to create personalized tumour models for precision medicine. Proteomic analysis could also be performed on unseeded dT-ECM.