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3D bioprinted cancer models: from basic biology to drug development

Abstract

Effort invested in the development of new drugs often fails to be translated into meaningful clinical benefits for patients with cancer. The development of more effective anticancer therapeutics and accurate prediction of their clinical merit remain urgent unmet medical needs. As solid cancers have complex and heterogeneous structures composed of different cell types and extracellular matrices, three-dimensional (3D) cancer models hold great potential for advancing our understanding of cancer biology, which has been historically investigated in tumour cell cultures on rigid plastic plates. Advanced 3D bioprinted cancer models have the potential to revolutionize the way we discover therapeutic targets, develop new drugs and personalize anticancer therapies in an accurate, reproducible, clinically translatable and robust manner. These ex vivo cancer models are already replacing existing in vitro systems and could, in the future, diminish or even replace the use of animal models. Therefore, profound understanding of the differences in tumorigenesis between 2D, 3D and animal models of cancer is essential. This Review presents the state of the art of 3D bioprinted cancer modelling, focusing on the biological processes that underlie the molecular mechanisms involved in cancer progression and treatment response as well as on proteomic and genomic signatures.

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Fig. 1: A timeline showing the development of 3D bioprinted cancer models.
Fig. 2: 3D bioprinted models of cancer cell growth, migration, invasion, stemness and gene expression.
Fig. 3: Use of 3D bioprinted models to investigate drug efficacy.

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References

  1. Frost & Sullivan. Global Drug Discovery and Early Development Outsourcing Growth Opportunities https://www.reportlinker.com/p06130908/Global-Drug-Discovery-and-Early-Development-Outsourcing-Growth-Opportunities.html?utm_source=GNW (2021).

  2. Wouters, O. J., McKee, M. & Luyten, J. Estimated research and development investment needed to bring a new medicine to market, 2009–2018. JAMA 323, 844–853 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Biotechnology Innovation Organization. Clinical Development Success Rates and Contributing Factors 2011–2020 https://pharmaintelligence.informa.com/~/media/informa-shop-window/pharma/2021/files/reports/2021-clinical-development-success-rates-2011-2020-v17.pdf (2020).

  4. IQVIA. Global Medicine Spending and Usage Trends: Outlook to 2025. IQVIA Institute Report https://www.iqvia.com/insights/the-iqvia-institute/reports/global-medicine-spending-and-usage-trends-outlook-to-2025 (2021).

  5. Ben-David, U. et al. Patient-derived xenografts undergo mouse-specific tumor evolution. Nat. Genet. 49, 1567–1575 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Rodrigues, J., Heinrich, M. A., Teixeira, L. M. & Prakash, J. 3D In vitro model (r)evolution: unveiling tumor-stroma interactions. Trends Cancer 7, 249–264 (2021).

    Article  CAS  PubMed  Google Scholar 

  7. Law, A. M. K. et al. Advancements in 3D cell culture systems for personalizing anti-cancer therapies. Front. Oncol. 11, 782766 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Bhatia, S. N. & Ingber, D. E. Microfluidic organs-on-chips. Nat. Biotechnol. 32, 760–772 (2014).

    Article  CAS  PubMed  Google Scholar 

  9. Yoshida, G. J. Applications of patient-derived tumor xenograft models and tumor organoids. J. Hematol. Oncol. 13, 4 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Peres, C. et al. Preclinical models and technologies to advance nanovaccine development. Adv. Drug Deliv. Rev. 172, 148–182 (2021).

    Article  CAS  PubMed  Google Scholar 

  11. Pozzi, S. et al. Meet me halfway: are in vitro 3D cancer models on the way to replace in vivo models for nanomedicine development? Adv. Drug Deliv. Rev. 175, 113760 (2021).

    Article  CAS  PubMed  Google Scholar 

  12. Neufeld, L. et al. Microengineered perfusable 3D-bioprinted glioblastoma model for in vivo mimicry of tumor microenvironment. Sci. Adv. 7, eabi9119 (2021). This study describes a complex perfusable TME model that includes patient-derived glioblastoma cells, endothelial cells, pericytes, astrocytes and microglia.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Rossi, G., Manfrin, A. & Lutolf, M. P. Progress and potential in organoid research. Nat. Rev. Genet. 19, 671–687 (2018).

    Article  CAS  PubMed  Google Scholar 

  14. Kim, E. et al. Creation of bladder assembloids mimicking tissue regeneration and cancer. Nature 588, 664–669 (2020).

    Article  CAS  PubMed  Google Scholar 

  15. Sontheimer-Phelps, A., Hassell, B. A. & Ingber, D. E. Modelling cancer in microfluidic human organs-on-chips. Nat. Rev. Cancer 19, 65–81 (2019).

    Article  CAS  PubMed  Google Scholar 

  16. Tang, Y. et al. A biomimetic microfluidic tumor microenvironment platform mimicking the EPR effect for rapid screening of drug delivery systems. Sci. Rep. 7, 9359 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ning, L. et al. A 3D bioprinted in vitro model of neuroblastoma recapitulates dynamic tumor-endothelial cell interactions contributing to solid tumor aggressive behavior. Adv. Sci. 9, 2200244 (2022). This study describes a perfusable TME model that includes patient-derived neuroblastoma cells, endothelial cells, adipocyte-derived MSCs and induced pluripotent stem cell-derived MSCs.

    Article  CAS  Google Scholar 

  18. Xu, T., Jin, J., Gregory, C., Hickman, J. J. & Boland, T. Inkjet printing of viable mammalian cells. Biomaterials 26, 93–99 (2005).

    Article  PubMed  Google Scholar 

  19. Xu, F. et al. A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform. Biotechnol. J. 6, 204–212 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Yi, H.-G. et al. A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy. Nat. Biomed. Eng. 3, 509–519 (2019). This study describes a 3D bioprinted glioblastoma model that reproduces clinically observed patient-derived patterns of treatment resistance to temozolomide or chemoradiation.

    Article  CAS  PubMed  Google Scholar 

  21. Rijal, G. & Li, W. A versatile 3D tissue matrix scaffold system for tumor modeling and drug screening. Sci. Adv. 3, e1700764 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Utama, R. H. et al. A covalently crosslinked ink for multimaterials drop-on-demand 3D bioprinting of 3D cell cultures. Macromol. Biosci. 21, e2100125 (2021).

    Article  PubMed  Google Scholar 

  23. Jiang, S. et al. An automated organoid platform with inter-organoid homogeneity and inter-patient heterogeneity. Cell Rep. Med. 1, 100161 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Sbrana, F. V. et al. 3D bioprinting allows the establishment of long-term 3D culture model for chronic lymphocytic leukemia cells. Front. Immunol. 12, 639572 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Ma, X. et al. Rapid 3D bioprinting of decellularized extracellular matrix with regionally varied mechanical properties and biomimetic microarchitecture. Biomaterials 185, 310–321 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Mollica, P. A. et al. 3D bioprinted mammary organoids and tumoroids in human mammary derived ECM hydrogels. Acta Biomater. 95, 201–213 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Garreta, E. et al. Tissue engineering by decellularization and 3D bioprinting. Mater. Today 20, 166–178 (2017).

    Article  CAS  Google Scholar 

  28. Hakobyan, D. et al. Laser-assisted 3D bioprinting of exocrine pancreas spheroid models for cancer initiation study. Biofabrication 12, 035001 (2020). This study describes the fabrication of a rat exocrine pancreatic cell network using laser-assisted bioprinting technology, which enabled the replication of both the initial stages of pancreatic ductal adenocarcinoma and its progression.

    Article  CAS  PubMed  Google Scholar 

  29. Ozturk, M. S. et al. High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment. Sci. Adv. 6, eaay7513 (2020). This study shows that use of a high-resolution tomography platform can markedly improve the imaging of thick 3D bioprinted models.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Hu, M. et al. Integrated genome and tissue engineering enables screening of cancer vulnerabilities in physiologically relevant perfusable ex vivo cultures. Biomaterials 280, 121276 (2022).

    Article  CAS  PubMed  Google Scholar 

  31. Lee, C., Abelseth, E., De La Vega, L. & Willerth, S. Bioprinting a novel glioblastoma tumor model using a fibrin-based bioink for drug screening. Mater. Today Chem. 12, 78–84 (2019).

    Article  CAS  Google Scholar 

  32. Shao, L. et al. Directly coaxial 3D bioprinting of large-scale vascularized tissue constructs. Biofabrication 12, 035014 (2020).

    Article  CAS  PubMed  Google Scholar 

  33. Hynes, W. et al. Examining metastatic behavior within 3D bioprinted vasculature for the validation of a 3D computational flow model. Sci. Adv. 6, eabb3308 (2020). This study describes a computational model that can be used to represent fundamental biological phenomena.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Whiteside, T. L. The tumor microenvironment and its role in promoting tumor growth. Oncogene 27, 5904 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Mishriki, S. et al. Rapid magnetic 3D printing of cellular structures with MCF-7 cell inks. Research 2019, 9854593 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Schmidt, S. K., Schmid, R., Arkudas, A., Kengelbach-Weigand, A. & Bosserhoff, A. K. Tumor cells develop defined cellular phenotypes after 3D-bioprinting in different bioinks. Cells 8, 1295 (2019).

    Article  PubMed Central  Google Scholar 

  37. Diao, J. et al. Role and mechanisms of a three-dimensional bioprinted microtissue model in promoting proliferation and invasion of growth-hormone-secreting pituitary adenoma cells. Biofabrication 11, 025006 (2019).

    Article  CAS  PubMed  Google Scholar 

  38. Duarte Campos, D. F. et al. Exploring cancer cell behavior in vitro in three-dimensional multicellular bioprintable collagen-based hydrogels. Cancers 11, 180 (2019).

    Article  PubMed Central  Google Scholar 

  39. Jeong, Y.-M. et al. 3D-printed collagen scaffolds promote maintenance of cryopreserved patients-derived melanoma explants. Cells 10, 589 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Flores-Torres, S. et al. Alginate-gelatin-Matrigel hydrogels enable the development and multigenerational passaging of patient-derived 3D bioprinted cancer spheroid models. Biofabrication 13, 025001 (2021).

    Article  CAS  Google Scholar 

  41. Xie, F. et al. Three-dimensional bio-printing of primary human hepatocellular carcinoma for personalized medicine. Biomaterials 265, 120416 (2021).

    Article  CAS  PubMed  Google Scholar 

  42. Han, J. et al. In vitro breast cancer model with patient-specific morphological features for personalized medicine. Biofabrication 14, 034102 (2022).

    Article  Google Scholar 

  43. Tang, M. et al. Rapid 3D bioprinting of glioblastoma model mimicking native biophysical heterogeneity. Small 17, 2006050 (2021). This study describes the first species-matched 3D bioprinted in vitro models to recapitulate the biophysical heterogeneity of glioblastoma.

    Article  CAS  Google Scholar 

  44. Langer, E. M. et al. Modeling tumor phenotypes in vitro with three-dimensional bioprinting. Cell Rep. 26, 608–623.e6 (2019). This study describes multi-cell-type 3D bioprinted tissues that recapitulate aspects of patient-derived tissue and provide insight for drug translational studies.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Zhao, Y. et al. Three-dimensional printing of HeLa cells for cervical tumor model in vitro. Biofabrication 6, 035001 (2014).

    Article  CAS  PubMed  Google Scholar 

  46. Chen, H. et al. 3D printed in vitro tumor tissue model of colorectal cancer. Theranostics 10, 12127–12143 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Liu, Y. & Cao, X. Characteristics and significance of the pre-metastatic niche. Cancer Cell 30, 668–681 (2016).

    Article  CAS  PubMed  Google Scholar 

  48. Zhou, X. et al. 3D Bioprinting a cell-laden bone matrix for breast cancer metastasis study. ACS Appl. Mater. Interf. 8, 30017–30026 (2016).

    Article  CAS  Google Scholar 

  49. Back, J. et al. Inflammatory conversion of quiescent osteoblasts by metastatic breast cancer cells through pERK1/2 aggravates cancer-induced bone destruction. Bone Res. 9, 43 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Kim, J. H. et al. Establishment of three-dimensional bioprinted bladder cancer-on-a-chip with a microfluidic system using bacillus Calmette–Guérin. Int. J. Mol. Sci. 22, 8887 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Xie, M. et al. 3D biofabrication of microfiber-laden minispheroids: a facile 3D cell co-culturing system. Biomater. Sci. 8, 109–117 (2020).

    Article  CAS  Google Scholar 

  52. Ping, Q. et al. Cancer-associated fibroblasts: overview, progress, challenges, and directions. Cancer Gene Ther. 28, 984–999 (2021).

    Article  CAS  PubMed  Google Scholar 

  53. Kalluri, R. The biology and function of fibroblasts in cancer. Nat. Rev. Cancer 16, 582–598 (2016).

    Article  CAS  PubMed  Google Scholar 

  54. Kim, B. S. et al. Construction of tissue-level cancer-vascular model with high-precision position control via in situ 3D cell printing. Small Methods 5, 2100072 (2021).

    Article  CAS  Google Scholar 

  55. Meng, F. et al. 3D bioprinted in vitro metastatic models via reconstruction of tumor microenvironments. Adv. Mater. 31, e1806899 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Nothdurfter, D. et al. 3D bioprinted, vascularized neuroblastoma tumor environment in fluidic chip devices for precision medicine drug testing. Biofabrication 14, 035002 (2022).

    Article  Google Scholar 

  57. Dalton, W. The influence of the tumor microenvironment on drug response and drug resistance. Clin. Cancer Res. 14, PL04-03 (2008).

    Google Scholar 

  58. Neophytou, C. M., Panagi, M., Stylianopoulos, T. & Papageorgis, P. The role of tumor microenvironment in cancer metastasis: molecular mechanisms and therapeutic opportunities. Cancers 13, 2053 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Grunewald, L. et al. A reproducible bioprinted 3D tumor model serves as a preselection tool for CAR T cell therapy optimization. Front. Immunol. 12, 689697 (2021). This study describes a highly reproducible 3D bioprinted model for preclinical (in vitro) characterization and optimization of CAR T cells for use in personalized therapy.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Liu, T.-k, Pang, Y., Zhou, Z.-Z., Yao, R. & Sun, W. An integrated cell printing system for the construction of heterogeneous tissue models. Acta Biomater. 95, 245–257 (2019).

    Article  CAS  PubMed  Google Scholar 

  61. Yeini, E. et al. P-selectin axis plays a key role in microglia immunophenotype and glioblastoma progression. Nat. Commun. 12, 1912 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Tang, M. et al. Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions. Cell Res. 30, 833–853 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Heinrich, M. A. et al. 3D-bioprinted mini-brain: a glioblastoma model to study cellular interactions and therapeutics. Adv. Mater. 31, e1806590 (2019).

    Article  PubMed  Google Scholar 

  64. Miranda, M. A. et al. Cytotoxic and chemosensitizing effects of glycoalkaloidic extract on 2D and 3D models using RT4 and patient derived xenografts bladder cancer cells. Mater. Sci. Eng. C. 119, 111460 (2021).

    Article  CAS  Google Scholar 

  65. Swaminathan, S., Hamid, Q., Sun, W. & Clyne, A. M. Bioprinting of 3D breast epithelial spheroids for human cancer models. Biofabrication 11, 025003–025003 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Hong, S. & Song, J. M. 3D bioprinted drug-resistant breast cancer spheroids for quantitative in situ evaluation of drug resistance. Acta Biomater. 138, 228–239 (2022).

    Article  CAS  PubMed  Google Scholar 

  67. Dai, X., Ma, C., Lan, Q. & Xu, T. 3D bioprinted glioma stem cells for brain tumor model and applications of drug susceptibility. Biofabrication 8, 045005 (2016).

    Article  PubMed  Google Scholar 

  68. Mao, S. et al. Bioprinting of patient-derived in vitro intrahepatic cholangiocarcinoma tumor model: establishment, evaluation and anti-cancer drug testing. Biofabrication 12, 045014 (2020).

    Article  CAS  PubMed  Google Scholar 

  69. Singh, M. et al. Controlled three-dimensional tumor microenvironments recapitulate phenotypic features and differential drug response in early vs advanced stage breast cancer. ACS Biomater. Sci. Eng. 4, 421–431 (2018).

    Article  CAS  PubMed  Google Scholar 

  70. Kingsley, D. M. et al. Laser-based 3D bioprinting for spatial and size control of tumor spheroids and embryoid bodies. Acta Biomater. 95, 357–370 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Qian, Z. M., Li, H., Sun, H. & Ho, K. Targeted drug delivery via the transferrin receptor-mediated endocytosis pathway. Pharmacol. Rev. 54, 561–587 (2002).

    Article  CAS  PubMed  Google Scholar 

  72. Charman, W. N. Lymphatic Transport of Drugs (Routledge, 2019).

  73. Cao, X. et al. A tumor-on-a-chip system with bioprinted blood and lymphatic vessel pair. Adv. Funct. Mater. 29, 1807173 (2019). This study describes 3D bioprinted models containing combinations of various blood and lymphatic vessel pairs with different diffusion profiles for biomolecules and anticancer therapies.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Tan, S. K. et al. Drug repositioning in glioblastoma: a pathway perspective. Front. Pharmacol. 9, 218 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  75. Pushpakom, S. et al. Drug repurposing: progress, challenges and recommendations. Nat. Rev. Drug Discov. 18, 41–58 (2019).

    Article  CAS  PubMed  Google Scholar 

  76. Scott, S. A. Clinical pharmacogenomics: opportunities and challenges at point of care. Clin. Pharmacol. Ther. 93, 33–35 (2013).

    Article  CAS  PubMed  Google Scholar 

  77. Lierman, E. et al. The ability of sorafenib to inhibit oncogenic PDGFRβ and FLT3 mutants and overcome resistance to other small molecule inhibitors. Haematologica 92, 27–34 (2007).

    Article  CAS  PubMed  Google Scholar 

  78. Tahara, M. et al. Exploratory analysis of biomarkers associated with clinical outcomes from the study of lenvatinib in differentiated cancer of the thyroid. Eur. J. Cancer 75, 213–221 (2017).

    Article  CAS  PubMed  Google Scholar 

  79. Li, Y. et al. 3D bioprinting of hepatoma cells and application with microfluidics for pharmacodynamic test of metuzumab. Biofabrication 11, 034102 (2019).

    Article  CAS  PubMed  Google Scholar 

  80. Hubert, P. & Amigorena, S. Antibody-dependent cell cytotoxicity in monoclonal antibody-mediated tumor immunotherapy. Oncoimmunology 1, 103–105 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  81. Sharifi, M. et al. 3D bioprinting of engineered breast cancer constructs for personalized and targeted cancer therapy. J. Control. Release 333, 91–106 (2021).

    Article  CAS  PubMed  Google Scholar 

  82. Fatimi, A., Okoro, O. V., Podstawczyk, D., Siminska-Stanny, J. & Shavandi, A. Natural hydrogel-based bio-inks for 3D bioprinting in tissue engineering: a review. Gels 8, 179 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  83. Lu, Y., Aimetti, A. A., Langer, R. & Gu, Z. Bioresponsive materials. Nat. Rev. Mater. 2, 16075 (2016).

    Article  Google Scholar 

  84. Sydney Gladman, A., Matsumoto, E. A., Nuzzo, R. G., Mahadevan, L. & Lewis, J. A. Biomimetic 4D printing. Nat. Mater. 15, 413–418 (2016).

    Article  CAS  PubMed  Google Scholar 

  85. Mordor Intelligence. 3D Bioprinting Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022–2027) https://www.mordorintelligence.com/industry-reports/3d-bioprinting-market (2021).

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Acknowledgements

The authors acknowledge partial funding from the European Research Council (ERC) Advanced Grant Agreement no. 835227-3DBrainStorm; ERC Proof of Concept Grant (862580; 3DCanPredict) and the Morris Kahn Foundation (all to R.S.F.). L.N. and E.Y. acknowledge the financial support of their fellowship from the Dan David Prize.

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Correspondence to Ronit Satchi-Fainaro.

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R.S.F. declares that she is a Director on the board of Teva Pharmaceutical Industries and receives research funding from Merck for work unrelated to this manuscript. All other authors declare no competing interests.

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Nature Reviews Cancer thanks Teo Xu and Jai Prakash for their contribution to the peer review of this work.

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Glossary

Shear thinning

A reduction in viscosity caused by shear stress — the physical forces created by liquid flow parallel to the surface of a material.

Perfusable channels

Directional fluid flow can be applied via artificial vessels, in which it is possible to control the speed, rate and composition of the circulating fluid.

Bioink

A composition of materials that can be deposited by a 3D bioprinter to produce a tissue that supports living cells in a 3D manner.

Crosslinking

Formation of permanent or reversible bonds between neighbouring polymer chains creating a network structure.

Decellularized

Natural scaffolds derived from tissues or organs, in which the cellular and nuclear contents are eliminated but the 3D structure and composition of the extracellular matrix are preserved.

Sacrificial bioink

Bioink materials that can be printed and embedded into other materials while forming a solid gel structure and can later be dissolved to create hollow parts, such as microfluidic channels or vascular networks.

Rheology

The science of deformation of materials.

Epithelial-to-mesenchymal transition

(EMT). A process of phenotypic and transcriptomic change in which epithelial-like cells acquire mesenchymal-like properties, such as the ability to detach from their neighbours and migrate to distant sites.

Support bath

A platform that supports low viscosity bioinks extruded within its volume, until they are crosslinked into complex structures.

Isotropic

Mechanical and physical properties that are not affected by the orientation of the atoms when organized in their crystal structure. Isotropic behaviour is observed in pathological remodelling of the extracellular matrix, which facilitates tumour cell invasion.

Anisotropic

Mechanical and physical properties that are affected by the orientation of the atoms when organized in their crystal structure.

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Neufeld, L., Yeini, E., Pozzi, S. et al. 3D bioprinted cancer models: from basic biology to drug development. Nat Rev Cancer 22, 679–692 (2022). https://doi.org/10.1038/s41568-022-00514-w

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