1
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Huang YH, Vaez Ghaemi R, Cheon J, Yadav VG, Frostad JM. The mechanical effects of chemical stimuli on neurospheres. Biomech Model Mechanobiol 2024; 23:1319-1329. [PMID: 38613619 DOI: 10.1007/s10237-024-01841-7] [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: 07/21/2023] [Accepted: 03/10/2024] [Indexed: 04/15/2024]
Abstract
The formulation of more accurate models to describe tissue mechanics necessitates the availability of tools and instruments that can precisely measure the mechanical response of tissues to physical loads and other stimuli. In this regard, neuroscience has trailed other life sciences owing to the unavailability of representative live tissue models and deficiency of experimentation tools. We previously addressed both challenges by employing a novel instrument called the cantilevered-capillary force apparatus (CCFA) to elucidate the mechanical properties of mouse neurospheres under compressive forces. The neurospheres were derived from murine stem cells, and our study was the first of its kind to investigate the viscoelasticity of living neural tissues in vitro. In the current study, we demonstrate the utility of the CCFA as a broadly applicable tool to evaluate tissue mechanics by quantifying the effect that oxidative stress has on the mechanical properties of neurospheres. We treated mouse neurospheres with non-cytotoxic levels of hydrogen peroxide and subsequently evaluated the storage and loss moduli of the tissues under compression and tension. We observed that the neurospheres exhibit viscoelasticity consistent with neural tissue and show that elastic modulus decreases with increasing size of the neurosphere. Our study yields insights for establishing rheological measurements as biomarkers by laying the groundwork for measurement techniques and showing that the influence of a particular treatment may be misinterpreted if the size dependence is ignored.
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Affiliation(s)
- Yun-Han Huang
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada
| | - Roza Vaez Ghaemi
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
| | - James Cheon
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada
| | - Vikramaditya G Yadav
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
| | - John M Frostad
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
- Department of Food Science, University of British Columbia, Vancouver, Canada.
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2
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Ozbek I, Saybasili H, Ulgen KO. Applications of 3D Bioprinting Technology to Brain Cells and Brain Tumor Models: Special Emphasis to Glioblastoma. ACS Biomater Sci Eng 2024; 10:2616-2635. [PMID: 38664996 PMCID: PMC11094688 DOI: 10.1021/acsbiomaterials.3c01569] [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: 10/24/2023] [Revised: 03/17/2024] [Accepted: 04/12/2024] [Indexed: 05/14/2024]
Abstract
Primary brain tumor is one of the most fatal diseases. The most malignant type among them, glioblastoma (GBM), has low survival rates. Standard treatments reduce the life quality of patients due to serious side effects. Tumor aggressiveness and the unique structure of the brain render the removal of tumors and the development of new therapies challenging. To elucidate the characteristics of brain tumors and examine their response to drugs, realistic systems that mimic the tumor environment and cellular crosstalk are desperately needed. In the past decade, 3D GBM models have been presented as excellent platforms as they allowed the investigation of the phenotypes of GBM and testing innovative therapeutic strategies. In that scope, 3D bioprinting technology offers utilities such as fabricating realistic 3D bioprinted structures in a layer-by-layer manner and precisely controlled deposition of materials and cells, and they can be integrated with other technologies like the microfluidics approach. This Review covers studies that investigated 3D bioprinted brain tumor models, especially GBM using 3D bioprinting techniques and essential parameters that affect the result and quality of the study like frequently used cells, the type and physical characteristics of hydrogel, bioprinting conditions, cross-linking methods, and characterization techniques.
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Affiliation(s)
- Ilkay
Irem Ozbek
- Department
of Chemical Engineering, Bogazici University, Istanbul 34342, Turkey
| | - Hale Saybasili
- Institute
of Biomedical Engineering, Bogazici University, Istanbul 34684, Turkey
| | - Kutlu O. Ulgen
- Department
of Chemical Engineering, Bogazici University, Istanbul 34342, Turkey
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3
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Wang X, Luo Y, Ma Y, Wang P, Yao R. Converging bioprinting and organoids to better recapitulate the tumor microenvironment. Trends Biotechnol 2024; 42:648-663. [PMID: 38071145 DOI: 10.1016/j.tibtech.2023.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 05/04/2024]
Abstract
Bioprinting shows excellent potential for preclinical tumor modeling, with significant advantages over 2D cell cultures in replicating the tumor microenvironment (TME). Recently, the use of tumor organoids in bioprinting models has emerged as a groundbreaking approach to simulate volumetric tumor tissues. This synergetic fabrication method leverages the advantages of the spatial and geometric control of bioprinting to assemble heterogeneous TME components, while tumor organoids maintain collective cell behaviors. In this review, we provide a landscape of the latest progress on the convergence of 3D bioprinting and tumor organoids. Furthermore, we discuss the potential to incorporate organ-on-a-chip with bioprinting tumor organoids to improve the biomimicry and predictability of therapeutic performance. Lastly, we address the challenges to personalized medicine and predictive clinical integration.
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Affiliation(s)
- Xiaoyu Wang
- School of Medicine, Tsinghua University, Beijing 100084, China; Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Yixue Luo
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Yuankai Ma
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Pengyu Wang
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Rui Yao
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
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4
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Wu BX, Wu Z, Hou YY, Fang ZX, Deng Y, Wu HT, Liu J. Application of three-dimensional (3D) bioprinting in anti-cancer therapy. Heliyon 2023; 9:e20475. [PMID: 37800075 PMCID: PMC10550518 DOI: 10.1016/j.heliyon.2023.e20475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 09/26/2023] [Indexed: 10/07/2023] Open
Abstract
Three-dimensional (3D) bioprinting is a novel technology that enables the creation of 3D structures with bioinks, the biomaterials containing living cells. 3D bioprinted structures can mimic human tissue at different levels of complexity from cells to organs. Currently, 3D bioprinting is a promising method in regenerative medicine and tissue engineering applications, as well as in anti-cancer therapy research. Cancer, a type of complex and multifaceted disease, presents significant challenges regarding diagnosis, treatment, and drug development. 3D bioprinted models of cancer have been used to investigate the molecular mechanisms of oncogenesis, the development of cancers, and the responses to treatment. Conventional 2D cancer models have limitations in predicting human clinical outcomes and drug responses, while 3D bioprinting offers an innovative technique for creating 3D tissue structures that closely mimic the natural characteristics of cancers in terms of morphology, composition, structure, and function. By precise manipulation of the spatial arrangement of different cell types, extracellular matrix components, and vascular networks, 3D bioprinting facilitates the development of cancer models that are more accurate and representative, emulating intricate interactions between cancer cells and their surrounding microenvironment. Moreover, the technology of 3D bioprinting enables the creation of personalized cancer models using patient-derived cells and biomarkers, thereby advancing the fields of precision medicine and immunotherapy. The integration of 3D cell models with 3D bioprinting technology holds the potential to revolutionize cancer research, offering extensive flexibility, precision, and adaptability in crafting customized 3D structures with desired attributes and functionalities. In conclusion, 3D bioprinting exhibits significant potential in cancer research, providing opportunities for identifying therapeutic targets, reducing reliance on animal experiments, and potentially lowering the overall cost of cancer treatment. Further investigation and development are necessary to address challenges such as cell viability, printing resolution, material characteristics, and cost-effectiveness. With ongoing progress, 3D bioprinting can significantly impact the field of cancer research and improve patient outcomes.
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Affiliation(s)
- Bing-Xuan Wu
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Zheng Wu
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
- Department of Physiology/Changjiang Scholar's Laboratory, Shantou University Medical College, Shantou 515041, China
| | - Yan-Yu Hou
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
- Department of Physiology/Changjiang Scholar's Laboratory, Shantou University Medical College, Shantou 515041, China
| | - Ze-Xuan Fang
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
- Department of Physiology/Changjiang Scholar's Laboratory, Shantou University Medical College, Shantou 515041, China
| | - Yu Deng
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Hua-Tao Wu
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Jing Liu
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
- Department of Physiology/Changjiang Scholar's Laboratory, Shantou University Medical College, Shantou 515041, China
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5
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Amereh M, Seyfoori A, Dallinger B, Azimzadeh M, Stefanek E, Akbari M. 3D-Printed Tumor-on-a-Chip Model for Investigating the Effect of Matrix Stiffness on Glioblastoma Tumor Invasion. Biomimetics (Basel) 2023; 8:421. [PMID: 37754172 PMCID: PMC10526170 DOI: 10.3390/biomimetics8050421] [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: 07/26/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/28/2023] Open
Abstract
Glioblastoma multiform (GBM) tumor progression has been recognized to be correlated with extracellular matrix (ECM) stiffness. Dynamic variation of tumor ECM is primarily regulated by a family of enzymes which induce remodeling and degradation. In this paper, we investigated the effect of matrix stiffness on the invasion pattern of human glioblastoma tumoroids. A 3D-printed tumor-on-a-chip platform was utilized to culture human glioblastoma tumoroids with the capability of evaluating the effect of stiffness on tumor progression. To induce variations in the stiffness of the collagen matrix, different concentrations of collagenase were added, thereby creating an inhomogeneous collagen concentration. To better understand the mechanisms involved in GBM invasion, an in silico hybrid mathematical model was used to predict the evolution of a tumor in an inhomogeneous environment, providing the ability to study multiple dynamic interacting variables. The model consists of a continuum reaction-diffusion model for the growth of tumoroids and a discrete model to capture the migration of single cells into the surrounding tissue. Results revealed that tumoroids exhibit two distinct patterns of invasion in response to the concentration of collagenase, namely ring-type and finger-type patterns. Moreover, higher concentrations of collagenase resulted in greater invasion lengths, confirming the strong dependency of tumor behavior on the stiffness of the surrounding matrix. The agreement between the experimental results and the model's predictions demonstrates the advantages of this approach in investigating the impact of various extracellular matrix characteristics on tumor growth and invasion.
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Affiliation(s)
- Meitham Amereh
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (M.A.); (A.S.); (M.A.)
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
- Centre for Advanced Materials and Related Technologies (CAMTEC), University of Victoria, Victoria, BC V8W 2Y2, Canada
| | - Amir Seyfoori
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (M.A.); (A.S.); (M.A.)
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
- Centre for Advanced Materials and Related Technologies (CAMTEC), University of Victoria, Victoria, BC V8W 2Y2, Canada
| | - Briana Dallinger
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
| | - Mostafa Azimzadeh
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (M.A.); (A.S.); (M.A.)
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
| | - Evan Stefanek
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
| | - Mohsen Akbari
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (M.A.); (A.S.); (M.A.)
- Laboratory for Innovations in MicroEngineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada; (B.D.); (E.S.)
- Centre for Advanced Materials and Related Technologies (CAMTEC), University of Victoria, Victoria, BC V8W 2Y2, Canada
- Terasaki Institute for Biomedical Innovations, Los Angeles, CA 91367, USA
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6
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Kumari S, Gupta R, Ambasta RK, Kumar P. Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy. Biochim Biophys Acta Rev Cancer 2023; 1878:188913. [PMID: 37182666 DOI: 10.1016/j.bbcan.2023.188913] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/24/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer showing poor prognosis. Currently, treatment methods of GBM are limited with adverse outcomes and low survival rate. Thus, advancements in the treatment of GBM are of utmost importance, which can be achieved in recent decades. However, despite aggressive initial treatment, most patients develop recurrent diseases, and the overall survival rate of patients is impossible to achieve. Currently, researchers across the globe target signaling events along with tumor microenvironment (TME) through different drug molecules to inhibit the progression of GBM, but clinically they failed to demonstrate much success. Herein, we discuss the therapeutic targets and signaling cascades along with the role of the organoids model in GBM research. Moreover, we systematically review the traditional and emerging therapeutic strategies in GBM. In addition, we discuss the implications of nanotechnologies, AI, and combinatorial approach to enhance GBM therapeutics.
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Affiliation(s)
- Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India.
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7
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Marques JROF, González-Alva P, Yu-Tong Lin R, Ferreira Fernandes B, Chaurasia A, Dubey N. Advances in tissue engineering of cancer microenvironment-from three-dimensional culture to three-dimensional printing. SLAS Technol 2023; 28:152-164. [PMID: 37019216 DOI: 10.1016/j.slast.2023.03.005] [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: 12/09/2022] [Revised: 02/27/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Cancer treatment development is a complex process, with tumor heterogeneity and inter-patient variations limiting the success of therapeutic intervention. Traditional two-dimensional cell culture has been used to study cancer metabolism, but it fails to capture physiologically relevant cell-cell and cell-environment interactions required to mimic tumor-specific architecture. Over the past three decades, research efforts in the field of 3D cancer model fabrication using tissue engineering have addressed this unmet need. The self-organized and scaffold-based model has shown potential to study the cancer microenvironment and eventually bridge the gap between 2D cell culture and animal models. Recently, three-dimensional (3D) bioprinting has emerged as an exciting and novel biofabrication strategy aimed at developing a 3D compartmentalized hierarchical organization with the precise positioning of biomolecules, including living cells. In this review, we discuss the advancements in 3D culture techniques for the fabrication of cancer models, as well as their benefits and limitations. We also highlight future directions associated with technological advances, detailed applicative research, patient compliance, and regulatory challenges to achieve a successful bed-to-bench transition.
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Affiliation(s)
- Joana Rita Oliveira Faria Marques
- Oral Biology and Biochemistry Research Group (GIBBO), Unidade de Investigação em Ciências Orais e Biomédicas (UICOB), Faculdade de Medicina Dentária, Universidade de Lisboa, Lisboa, Portugal
| | - Patricia González-Alva
- Tissue Bioengineering Laboratory, Postgraduate Studies and Research Division, Faculty of Dentistry, National Autonomous University of Mexico (UNAM), 04510, Mexico, CDMX, Mexico
| | - Ruby Yu-Tong Lin
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Beatriz Ferreira Fernandes
- Oral Biology and Biochemistry Research Group (GIBBO), Unidade de Investigação em Ciências Orais e Biomédicas (UICOB), Faculdade de Medicina Dentária, Universidade de Lisboa, Lisboa, Portugal
| | - Akhilanand Chaurasia
- Department of Oral Medicine, Faculty of Dental Sciences, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Nileshkumar Dubey
- Faculty of Dentistry, National University of Singapore, Singapore; ORCHIDS: Oral Care Health Innovations and Designs Singapore, National University of Singapore, Singapore.
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8
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Sztankovics D, Moldvai D, Petővári G, Gelencsér R, Krencz I, Raffay R, Dankó T, Sebestyén A. 3D bioprinting and the revolution in experimental cancer model systems-A review of developing new models and experiences with in vitro 3D bioprinted breast cancer tissue-mimetic structures. Pathol Oncol Res 2023; 29:1610996. [PMID: 36843955 PMCID: PMC9946983 DOI: 10.3389/pore.2023.1610996] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/16/2023] [Indexed: 02/11/2023]
Abstract
Growing evidence propagates those alternative technologies (relevant human cell-based-e.g., organ-on-chips or biofabricated models-or artificial intelligence-combined technologies) that could help in vitro test and predict human response and toxicity in medical research more accurately. In vitro disease model developments have great efforts to create and serve the need of reducing and replacing animal experiments and establishing human cell-based in vitro test systems for research use, innovations, and drug tests. We need human cell-based test systems for disease models and experimental cancer research; therefore, in vitro three-dimensional (3D) models have a renaissance, and the rediscovery and development of these technologies are growing ever faster. This recent paper summarises the early history of cell biology/cellular pathology, cell-, tissue culturing, and cancer research models. In addition, we highlight the results of the increasing use of 3D model systems and the 3D bioprinted/biofabricated model developments. Moreover, we present our newly established 3D bioprinted luminal B type breast cancer model system, and the advantages of in vitro 3D models, especially the bioprinted ones. Based on our results and the reviewed developments of in vitro breast cancer models, the heterogeneity and the real in vivo situation of cancer tissues can be represented better by using 3D bioprinted, biofabricated models. However, standardising the 3D bioprinting methods is necessary for future applications in different high-throughput drug tests and patient-derived tumour models. Applying these standardised new models can lead to the point that cancer drug developments will be more successful, efficient, and consequently cost-effective in the near future.
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Affiliation(s)
| | | | - Gábor Petővári
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Rebeka Gelencsér
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Ildikó Krencz
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Regina Raffay
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Titanilla Dankó
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
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9
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Jung M, Ghamrawi S, Du EY, Gooding JJ, Kavallaris M. Advances in 3D Bioprinting for Cancer Biology and Precision Medicine: From Matrix Design to Application. Adv Healthc Mater 2022; 11:e2200690. [PMID: 35866252 DOI: 10.1002/adhm.202200690] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/08/2022] [Indexed: 01/28/2023]
Abstract
The tumor microenvironment is highly complex owing to its heterogeneous composition and dynamic nature. This makes tumors difficult to replicate using traditional 2D cell culture models that are frequently used for studying tumor biology and drug screening. This often leads to poor translation of results between in vitro and in vivo and is reflected in the extremely low success rates of new candidate drugs delivered to the clinic. Therefore, there has been intense interest in developing 3D tumor models in the laboratory that are representative of the in vivo tumor microenvironment and patient samples. 3D bioprinting is an emerging technology that enables the biofabrication of structures with the virtue of providing accurate control over distribution of cells, biological molecules, and matrix scaffolding. This technology has the potential to bridge the gap between in vitro and in vivo by closely recapitulating the tumor microenvironment. Here, a brief overview of the tumor microenvironment is provided and key considerations in biofabrication of tumor models are discussed. Bioprinting techniques and choice of bioinks for both natural and synthetic polymers are also outlined. Lastly, current bioprinted tumor models are reviewed and the perspectives of how clinical applications can greatly benefit from 3D bioprinting technologies are offered.
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Affiliation(s)
- MoonSun Jung
- Children's Cancer Institute, Lowy Cancer Research Center, UNSW Sydney, Sydney, NSW, 2052, Australia.,Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW, 2052, Australia.,School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - Sarah Ghamrawi
- Children's Cancer Institute, Lowy Cancer Research Center, UNSW Sydney, Sydney, NSW, 2052, Australia.,Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - Eric Y Du
- Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW, 2052, Australia.,School of Chemistry, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - J Justin Gooding
- Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW, 2052, Australia.,School of Chemistry, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - Maria Kavallaris
- Children's Cancer Institute, Lowy Cancer Research Center, UNSW Sydney, Sydney, NSW, 2052, Australia.,Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW, 2052, Australia.,School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, 2052, Australia
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10
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Liu C, Yang C, Liu J, Tang Y, Lin Z, Li L, Liang H, Lu W, Wang L. Error assessment and correction for extrusion-based bioprinting using computer vision method. Int J Bioprint 2022; 9:644. [PMID: 36844241 PMCID: PMC9947486 DOI: 10.18063/ijb.v9i1.644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/30/2022] [Indexed: 11/18/2022] Open
Abstract
299Bioprinting offers a new approach to addressing the organ shortage crisis. Despite recent technological advances, insufficient printing resolution continues to be one of the reasons that impede the development of bioprinting. Normally, machine axes movement cannot be reliably used to predict material placement, and the printing path tends to deviate from the predetermined designed reference trajectory in varying degrees. Therefore, a computer vision-based method was proposed in this study to correct trajectory deviation and improve printing accuracy. The image algorithm calculated the deviation between the printed trajectory and the reference trajectory to generate an error vector. Furthermore, the axes trajectory was modified according to the normal vector approach in the second printing to compensate for the deviation error. The highest correction efficiency that could be achieved was 91%. More significantly, we discovered that the correction results, for the first time, were in a normal distribution instead of a random distribution.
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Affiliation(s)
- Changxi Liu
- State Key Laboratory of Metal Matrix Composites, School of Material Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China,National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chengliang Yang
- National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China,Department of Orthopaedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi Key Laboratory of Basic and Translational Research of Bone and Joint Degenerative Diseases, Baise, 533000, Guangxi, China
| | - Jia Liu
- National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China,Department of Orthopaedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi Key Laboratory of Basic and Translational Research of Bone and Joint Degenerative Diseases, Baise, 533000, Guangxi, China,Corresponding authors: Jia Liu () Yujin Tang() Liqiang Wang()
| | - Yujin Tang
- National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China,Department of Orthopaedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi Key Laboratory of Basic and Translational Research of Bone and Joint Degenerative Diseases, Baise, 533000, Guangxi, China,Corresponding authors: Jia Liu () Yujin Tang() Liqiang Wang()
| | - Zhengjie Lin
- 3D Printing Clinical Translational and Regenerative Medicine Center, Shenzhen Shekou People’s Hospital, Shenzhen, 518060, China
| | - Long Li
- Department of Stomatology, Shenzhen Shekou People’s Hospital, Shenzhen, 518060, China
| | - Hai Liang
- Department of Stomatology, Shenzhen Shekou People’s Hospital, Shenzhen, 518060, China
| | - Weijie Lu
- State Key Laboratory of Metal Matrix Composites, School of Material Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China,National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Liqiang Wang
- State Key Laboratory of Metal Matrix Composites, School of Material Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China,National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China,Corresponding authors: Jia Liu () Yujin Tang() Liqiang Wang()
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11
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Vuille-Dit-Bille E, Deshmukh DV, Connolly S, Heub S, Boder-Pasche S, Dual J, Tibbitt MW, Weder G. Tools for manipulation and positioning of microtissues. LAB ON A CHIP 2022; 22:4043-4066. [PMID: 36196619 DOI: 10.1039/d2lc00559j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Complex three-dimensional (3D) in vitro models are emerging as a key technology to support research areas in personalised medicine, such as drug development and regenerative medicine. Tools for manipulation and positioning of microtissues play a crucial role in the microtissue life cycle from production to end-point analysis. The ability to precisely locate microtissues can improve the efficiency and reliability of processes and investigations by reducing experimental time and by providing more controlled parameters. To achieve this goal, standardisation of the techniques is of primary importance. Compared to microtissue production, the field of microtissue manipulation and positioning is still in its infancy but is gaining increasing attention in the last few years. Techniques to position microtissues have been classified into four main categories: hydrodynamic techniques, bioprinting, substrate modification, and non-contact active forces. In this paper, we provide a comprehensive review of the different tools for the manipulation and positioning of microtissues that have been reported to date. The working mechanism of each technique is described, and its merits and limitations are discussed. We conclude by evaluating the potential of the different approaches to support progress in personalised medicine.
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Affiliation(s)
- Emilie Vuille-Dit-Bille
- Centre Suisse d'Electronique et de Microtechnique SA, Neuchâtel, Switzerland.
- MicroBioRobotic Systems Laboratory, Institute of Mechanical Engineering, EPFL, Lausanne, Switzerland
| | - Dhananjay V Deshmukh
- Macromolecular Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
- Institute for Mechanical Systems, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Sinéad Connolly
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zurich, Switzerland
| | - Sarah Heub
- Centre Suisse d'Electronique et de Microtechnique SA, Neuchâtel, Switzerland.
| | | | - Jürg Dual
- Institute for Mechanical Systems, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Mark W Tibbitt
- Macromolecular Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Gilles Weder
- Centre Suisse d'Electronique et de Microtechnique SA, Neuchâtel, Switzerland.
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12
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Faisal SM, Comba A, Varela ML, Argento AE, Brumley E, Abel C, Castro MG, Lowenstein PR. The complex interactions between the cellular and non-cellular components of the brain tumor microenvironmental landscape and their therapeutic implications. Front Oncol 2022; 12:1005069. [PMID: 36276147 PMCID: PMC9583158 DOI: 10.3389/fonc.2022.1005069] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/20/2022] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma (GBM), an aggressive high-grade glial tumor, is resistant to therapy and has a poor prognosis due to its universal recurrence rate. GBM cells interact with the non-cellular components in the tumor microenvironment (TME), facilitating their rapid growth, evolution, and invasion into the normal brain. Herein we discuss the complexity of the interactions between the cellular and non-cellular components of the TME and advances in the field as a whole. While the stroma of non-central nervous system (CNS) tissues is abundant in fibrillary collagens, laminins, and fibronectin, the normal brain extracellular matrix (ECM) predominantly includes proteoglycans, glycoproteins, and glycosaminoglycans, with fibrillary components typically found only in association with the vasculature. However, recent studies have found that in GBMs, the microenvironment evolves into a more complex array of components, with upregulated collagen gene expression and aligned fibrillary ECM networks. The interactions of glioma cells with the ECM and the degradation of matrix barriers are crucial for both single-cell and collective invasion into neighboring brain tissue. ECM-regulated mechanisms also contribute to immune exclusion, resulting in a major challenge to immunotherapy delivery and efficacy. Glioma cells chemically and physically control the function of their environment, co-opting complex signaling networks for their own benefit, resulting in radio- and chemo-resistance, tumor recurrence, and cancer progression. Targeting these interactions is an attractive strategy for overcoming therapy resistance, and we will discuss recent advances in preclinical studies, current clinical trials, and potential future clinical applications. In this review, we also provide a comprehensive discussion of the complexities of the interconnected cellular and non-cellular components of the microenvironmental landscape of brain tumors to guide the development of safe and effective therapeutic strategies against brain cancer.
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Affiliation(s)
- Syed M. Faisal
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Andrea Comba
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria L. Varela
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Anna E. Argento
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Emily Brumley
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Clifford Abel
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria G. Castro
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Pedro R. Lowenstein
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Pedro R. Lowenstein,
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13
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Banerjee D, Singh YP, Datta P, Ozbolat V, O'Donnell A, Yeo M, Ozbolat IT. Strategies for 3D bioprinting of spheroids: A comprehensive review. Biomaterials 2022; 291:121881. [DOI: 10.1016/j.biomaterials.2022.121881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/04/2022] [Accepted: 10/23/2022] [Indexed: 11/17/2022]
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14
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Establishment of large canine hepatocyte spheroids by mixing vascular endothelial cells and canine adipose-derived mesenchymal stem cells. Regen Ther 2022; 19:1-8. [PMID: 35024388 PMCID: PMC8728312 DOI: 10.1016/j.reth.2021.11.007] [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: 09/16/2021] [Revised: 11/05/2021] [Accepted: 11/24/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction Differentiation of hepatocytes and culture methods have been investigated in dogs as a tool to establish liver transplant and drug metabolism examination systems. However, mass culture techniques for canine hepatocytes (cHep) have not been investigated, and it is necessary to construct a suitable culture system. Recently, a protocol called Bud production has attracted attention, and a mixed culture of human and mouse hepatocytes, stem cells, and artificial blood vessels significantly improved the size and formation ratio of spheroids. The purpose of this study was to investigate and improve the in vitro culture of cHep by mixing canine adipose-derived mesenchymal stem cells (cASCs) and human umbilical vein endothelial cells (HUVECs). Methods Spheroid formation ratio and histological examination were evaluated among four culture methods, including cHep alone, two-mix (cHep + cASCs and cHep + HUVEC), and three-mix (cHep + HUVEC + cASCs), on days 0, 4, and 7. Expression levels of liver-related genes (ALB, AFP, α1-AT, CDH1, CYP2E1, CYP3A12, and TAT) were evaluated by quantitative real-time polymerase chain reaction (RT-PCR). Protein expression of albumin, vimentin, and von Willebrand Factor (vWF) was investigated to confirm the location of the hepatocytes. Results The ratio of spheroid formation was 60.2% in the three-mix culture and was significantly improved compared with cHep alone (5.9%) and two-mix; cHep + cASCs (36.2%) and cHep + HUVEC (26.4%) (P < 0.001). Histological evaluation revealed that the three-mix spheroids formed large canine hepatocyte spheroids (LcHS), and hepatocytes were distributed in the center of the spheroids. Quantitative gene expression analysis of LcHS showed that liver-related genes expression were maintained the same levels with that of a culture of cHep alone from days 4-7. Conclusion These results revealed that the three-mix culture method using cHep, HUVECs, and cASCs was capable of promoting LcHS without impairing liver function in cHep, suggesting that LcHS could be used for the application of high-volume culture techniques in dogs.
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Key Words
- 3D, three-dimensions
- AFP, α-fetoprotein
- ALB, albumin
- CD, cluster of differentiation
- CDH1, cadherin-1 (epithelital-cadherin)
- CYP, cytochrome
- Canine
- DILI, drug induced liver injury
- EGM, endothelial cell growth medium
- FBS, fetal bovine serum
- HGM, hepatocyte growth medium
- HTM, hepatocyte thawing medium
- HUVEC, human umbilical vein endothelial cells
- Hepatocyte
- LcHS, large canine hepatocyte spheroids
- MSCGM, mesenchymal stem cell growth medium
- Mesenchymal stem cells
- PBS, phosphate-buffered saline
- SF-HGM, hepatocyte growth medium for spheroid formation
- Spheroids
- TAT, tyrosine aminotransferase
- Three-dimensions
- cASC, canine adipose-derived mesenchymal stem cells
- cHep, canine primary-cultured hepatocytes
- hFGF, human fibroblast growth factor
- iPSC, induced pluripotent stem cells
- rf-HGF, recombinant ferine hepatocyte growth factor
- α1-AT, α1-antitrypsin
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15
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Jamee R, Araf Y, Naser IB, Promon SK. The promising rise of bioprinting in revolutionalizing medical science: Advances and possibilities. Regen Ther 2021; 18:133-145. [PMID: 34189195 PMCID: PMC8213915 DOI: 10.1016/j.reth.2021.05.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/19/2021] [Accepted: 05/26/2021] [Indexed: 12/24/2022] Open
Abstract
Bioprinting is a relatively new yet evolving technique predominantly used in regenerative medicine and tissue engineering. 3D bioprinting techniques combine the advantages of creating Extracellular Matrix (ECM)like environments for cells and computer-aided tailoring of predetermined tissue shapes and structures. The essential application of bioprinting is for the regeneration or restoration of damaged and injured tissues by producing implantable tissues and organs. The capability of bioprinting is yet to be fully scrutinized in sectors like the patient-specific spatial distribution of cells, bio-robotics, etc. In this review, currently developed experimental systems and strategies for the bioprinting of different types of tissues as well as for drug delivery and cancer research are explored for potential applications. This review also digs into the most recent opportunities and future possibilities for the efficient implementation of bioprinting to restructure medical and technological practices.
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Affiliation(s)
- Radia Jamee
- Department of Mathematics and Natural Sciences, School of Data and Sciences, Brac University, Dhaka, Bangladesh
- Mechamind, Dhaka, Bangladesh
| | - Yusha Araf
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Iftekhar Bin Naser
- Department of Mathematics and Natural Sciences, School of Data and Sciences, Brac University, Dhaka, Bangladesh
| | - Salman Khan Promon
- Department of Mathematics and Natural Sciences, School of Data and Sciences, Brac University, Dhaka, Bangladesh
- Mechamind, Dhaka, Bangladesh
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16
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Ravanbakhsh H, Karamzadeh V, Bao G, Mongeau L, Juncker D, Zhang YS. Emerging Technologies in Multi-Material Bioprinting. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2104730. [PMID: 34596923 PMCID: PMC8971140 DOI: 10.1002/adma.202104730] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/10/2021] [Indexed: 05/09/2023]
Abstract
Bioprinting, within the emerging field of biofabrication, aims at the fabrication of functional biomimetic constructs. Different 3D bioprinting techniques have been adapted to bioprint cell-laden bioinks. However, single-material bioprinting techniques oftentimes fail to reproduce the complex compositions and diversity of native tissues. Multi-material bioprinting as an emerging approach enables the fabrication of heterogeneous multi-cellular constructs that replicate their host microenvironments better than single-material approaches. Here, bioprinting modalities are reviewed, their being adapted to multi-material bioprinting is discussed, and their advantages and challenges, encompassing both custom-designed and commercially available technologies are analyzed. A perspective of how multi-material bioprinting opens up new opportunities for tissue engineering, tissue model engineering, therapeutics development, and personalized medicine is offered.
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Affiliation(s)
- Hossein Ravanbakhsh
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - Vahid Karamzadeh
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3A0G1, Canada
| | - Guangyu Bao
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - Luc Mongeau
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - David Juncker
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3A0G1, Canada
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
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17
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Zhuang P, Chiang YH, Fernanda MS, He M. Using Spheroids as Building Blocks Towards 3D Bioprinting of Tumor Microenvironment. Int J Bioprint 2021; 7:444. [PMID: 34805601 PMCID: PMC8600307 DOI: 10.18063/ijb.v7i4.444] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 10/02/2021] [Indexed: 12/12/2022] Open
Abstract
Cancer still ranks as a leading cause of mortality worldwide. Although considerable efforts have been dedicated to anticancer therapeutics, progress is still slow, partially due to the absence of robust prediction models. Multicellular tumor spheroids, as a major three-dimensional (3D) culture model exhibiting features of avascular tumors, gained great popularity in pathophysiological studies and high throughput drug screening. However, limited control over cellular and structural organization is still the key challenge in achieving in vivo like tissue microenvironment. 3D bioprinting has made great strides toward tissue/organ mimicry, due to its outstanding spatial control through combining both cells and materials, scalability, and reproducibility. Prospectively, harnessing the power from both 3D bioprinting and multicellular spheroids would likely generate more faithful tumor models and advance our understanding on the mechanism of tumor progression. In this review, the emerging concept on using spheroids as a building block in 3D bioprinting for tumor modeling is illustrated. We begin by describing the context of the tumor microenvironment, followed by an introduction of various methodologies for tumor spheroid formation, with their specific merits and drawbacks. Thereafter, we present an overview of existing 3D printed tumor models using spheroids as a focus. We provide a compilation of the contemporary literature sources and summarize the overall advancements in technology and possibilities of using spheroids as building blocks in 3D printed tissue modeling, with a particular emphasis on tumor models. Future outlooks about the wonderous advancements of integrated 3D spheroidal printing conclude this review.
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Affiliation(s)
- Pei Zhuang
- Department of Pharmaceutics, University of Florida, Gainesville, Florida, 32610, USA
| | - Yi-Hua Chiang
- Department of Pharmaceutics, University of Florida, Gainesville, Florida, 32610, USA
| | | | - Mei He
- Department of Pharmaceutics, University of Florida, Gainesville, Florida, 32610, USA
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18
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What can biofabrication do for space and what can space do for biofabrication? Trends Biotechnol 2021; 40:398-411. [PMID: 34544616 DOI: 10.1016/j.tibtech.2021.08.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/19/2021] [Accepted: 08/23/2021] [Indexed: 01/08/2023]
Abstract
Biofabrication in space is one of the novel promising and prospective research directions in the rapidly emerging field of space STEM. There are several advantages of biofabrication in space. Under microgravity, it is possible to engineer constructs using more fluidic channels and thus more biocompatible bioinks. Microgravity enables biofabrication of tissue and organ constructs of more complex geometries, thus facilitating novel scaffold-, label-, and nozzle-free technologies based on multi-levitation principles. However, when exposed to microgravity and cosmic radiation, biofabricated tissues could be used to study pathophysiological phenomena that will be useful on Earth and for deep space manned missions. Here, we provide leading concepts about the potential mutual benefits of the application of biofabrication technologies in space.
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19
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Cadena M, Ning L, King A, Hwang B, Jin L, Serpooshan V, Sloan SA. 3D Bioprinting of Neural Tissues. Adv Healthc Mater 2021; 10:e2001600. [PMID: 33200587 PMCID: PMC8711131 DOI: 10.1002/adhm.202001600] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 10/19/2020] [Indexed: 02/06/2023]
Abstract
The human nervous system is a remarkably complex physiological network that is inherently challenging to study because of obstacles to acquiring primary samples. Animal models offer powerful alternatives to study nervous system development, diseases, and regenerative processes, however, they are unable to address some species-specific features of the human nervous system. In vitro models of the human nervous system have expanded in prevalence and sophistication, but still require further advances to better recapitulate microenvironmental and cellular features. The field of neural tissue engineering (TE) is rapidly adopting new technologies that enable scientists to precisely control in vitro culture conditions and to better model nervous system formation, function, and repair. 3D bioprinting is one of the major TE technologies that utilizes biocompatible hydrogels to create precisely patterned scaffolds, designed to enhance cellular responses. This review focuses on the applications of 3D bioprinting in the field of neural TE. Important design parameters are considered when bioprinting neural stem cells are discussed. The emergence of various bioprinted in vitro platforms are also reviewed for developmental and disease modeling and drug screening applications within the central and peripheral nervous systems, as well as their use as implants for in vivo regenerative therapies.
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Affiliation(s)
- Melissa Cadena
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Liqun Ning
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Alexia King
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Boeun Hwang
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Linqi Jin
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Vahid Serpooshan
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, USA
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Steven A. Sloan
- Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA 30322, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
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20
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Grunewald L, Lam T, Andersch L, Klaus A, Schwiebert S, Winkler A, Gauert A, Heeren-Hagemann AI, Astrahantseff K, Klironomos F, Thomas A, Deubzer HE, Henssen AG, Eggert A, Schulte JH, Anders K, Kloke L, Künkele A. A Reproducible Bioprinted 3D Tumor Model Serves as a Preselection Tool for CAR T Cell Therapy Optimization. Front Immunol 2021; 12:689697. [PMID: 34267756 PMCID: PMC8276678 DOI: 10.3389/fimmu.2021.689697] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/02/2021] [Indexed: 01/01/2023] Open
Abstract
Chimeric antigen receptor (CAR) T cell performance against solid tumors in mouse models and clinical trials is often less effective than predicted by CAR construct selection in two-dimensional (2D) cocultures. Three-dimensional (3D) solid tumor architecture is likely to be crucial for CAR T cell efficacy. We used a three-dimensional (3D) bioprinting approach for large-scale generation of highly reproducible 3D human tumor models for the test case, neuroblastoma, and compared these to 2D cocultures for evaluation of CAR T cells targeting the L1 cell adhesion molecule, L1CAM. CAR T cells infiltrated the model, and both CAR T and tumor cells were viable for long-term experiments and could be isolated as single-cell suspensions for whole-cell assays quantifying CAR T cell activation, effector function and tumor cell cytotoxicity. L1CAM-specific CAR T cell activation by neuroblastoma cells was stronger in the 3D model than in 2D cocultures, but neuroblastoma cell lysis was lower. The bioprinted 3D neuroblastoma model is highly reproducible and allows detection and quantification of CAR T cell tumor infiltration, representing a superior in vitro analysis tool for preclinical CAR T cell characterization likely to better select CAR T cells for in vivo performance than 2D cocultures.
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Affiliation(s)
- Laura Grunewald
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,Freie Universität Berlin, Berlin, Germany
| | - Tobias Lam
- Technische Universität Berlin, Berlin, Germany.,Cellbricks GmbH Berlin, Berlin, Germany
| | - Lena Andersch
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Anika Klaus
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Silke Schwiebert
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Annika Winkler
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Anton Gauert
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Anja I Heeren-Hagemann
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Kathy Astrahantseff
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Filippos Klironomos
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany
| | - Alexander Thomas
- Technische Universität Berlin, Berlin, Germany.,Cellbricks GmbH Berlin, Berlin, Germany
| | - Hedwig E Deubzer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,Neuroblastoma Research Group, Experimental and Clinical Research Center (ECRC) of the Charité and the Max-Delbrück-Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anton G Henssen
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Angelika Eggert
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johannes H Schulte
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kathleen Anders
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lutz Kloke
- Technische Universität Berlin, Berlin, Germany.,Cellbricks GmbH Berlin, Berlin, Germany
| | - Annette Künkele
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Oncology and Hematology, Berlin, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
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21
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Lobo DA, Ginestra P, Ceretti E, Miquel TP, Ciurana J. Cancer Cell Direct Bioprinting: A Focused Review. MICROMACHINES 2021; 12:764. [PMID: 34203530 PMCID: PMC8305105 DOI: 10.3390/mi12070764] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 12/24/2022]
Abstract
Three-dimensional printing technologies allow for the fabrication of complex parts with accurate geometry and less production time. When applied to biomedical applications, two different approaches, known as direct or indirect bioprinting, may be performed. The classical way is to print a support structure, the scaffold, and then culture the cells. Due to the low efficiency of this method, direct bioprinting has been proposed, with or without the use of scaffolds. Scaffolds are the most common technology to culture cells, but bioassembly of cells may be an interesting methodology to mimic the native microenvironment, the extracellular matrix, where the cells interact between themselves. The purpose of this review is to give an updated report about the materials, the bioprinting technologies, and the cells used in cancer research for breast, brain, lung, liver, reproductive, gastric, skin, and bladder associated cancers, to help the development of possible treatments to lower the mortality rates, increasing the effectiveness of guided therapies. This work introduces direct bioprinting to be considered as a key factor above the main tissue engineering technologies.
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Affiliation(s)
- David Angelats Lobo
- Department of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy; (D.A.L.); (E.C.)
- New Therapeutic Targets Laboratory (TargetsLab), Oncology Unit, Department of Medical Sciences, Girona Institute for Biomedical Research, University of Girona, Emili Grahit 77, 17003 Girona, Spain;
| | - Paola Ginestra
- Department of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy; (D.A.L.); (E.C.)
| | - Elisabetta Ceretti
- Department of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy; (D.A.L.); (E.C.)
| | - Teresa Puig Miquel
- New Therapeutic Targets Laboratory (TargetsLab), Oncology Unit, Department of Medical Sciences, Girona Institute for Biomedical Research, University of Girona, Emili Grahit 77, 17003 Girona, Spain;
| | - Joaquim Ciurana
- Product, Process and Production Engineering Research Group (GREP), Department of Mechanical Engineering and Industrial Construction, University of Girona, Maria Aurèlia Capmany 61, 17003 Girona, Spain;
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Paolillo M, Comincini S, Schinelli S. In Vitro Glioblastoma Models: A Journey into the Third Dimension. Cancers (Basel) 2021; 13:cancers13102449. [PMID: 34070023 PMCID: PMC8157833 DOI: 10.3390/cancers13102449] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary In this review, the thorny issue of glioblastoma models is addressed, with a focus on 3D in vitro models. In the first part of the manuscript, glioblastoma features and classification are recapitulated, in order to highlight the major critical aspects that should be taken into account when choosing a glioblastoma 3D model. In the second part of the review, the 3D models described in the literature are critically discussed, considering the advantages, disadvantages, and feasibility for each experimental model, in the light of the potential issues that researchers want to address. Abstract Glioblastoma multiforme (GBM) is the most lethal primary brain tumor in adults, with an average survival time of about one year from initial diagnosis. In the attempt to overcome the complexity and drawbacks associated with in vivo GBM models, together with the need of developing systems dedicated to screen new potential drugs, considerable efforts have been devoted to the implementation of reliable and affordable in vitro GBM models. Recent findings on GBM molecular features, revealing a high heterogeneity between GBM cells and also between other non-tumor cells belonging to the tumoral niche, have stressed the limitations of the classical 2D cell culture systems. Recently, several novel and innovative 3D cell cultures models for GBM have been proposed and implemented. In this review, we first describe the different populations and their functional role of GBM and niche non-tumor cells that could be used in 3D models. An overview of the current available 3D in vitro systems for modeling GBM, together with their major weaknesses and strengths, is presented. Lastly, we discuss the impact of groundbreaking technologies, such as bioprinting and multi-omics single cell analysis, on the future implementation of 3D in vitro GBM models.
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Affiliation(s)
- Mayra Paolillo
- Department of Drug Sciences, University of Pavia, 27100 Pavia, Italy;
- Correspondence:
| | - Sergio Comincini
- Department of Biology and Biotechnology “Lazzaro Spallanzani”, University of Pavia, 27100 Pavia, Italy;
| | - Sergio Schinelli
- Department of Drug Sciences, University of Pavia, 27100 Pavia, Italy;
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Sánchez-Salazar MG, Álvarez MM, Trujillo-de Santiago G. Advances in 3D bioprinting for the biofabrication of tumor models. ACTA ACUST UNITED AC 2021. [DOI: 10.1016/j.bprint.2020.e00120] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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24
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Kjar A, McFarland B, Mecham K, Harward N, Huang Y. Engineering of tissue constructs using coaxial bioprinting. Bioact Mater 2021; 6:460-471. [PMID: 32995673 PMCID: PMC7490764 DOI: 10.1016/j.bioactmat.2020.08.020] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/12/2020] [Accepted: 08/23/2020] [Indexed: 12/13/2022] Open
Abstract
Bioprinting is a rapidly developing technology for the precise design and manufacture of tissues in various biological systems or organs. Coaxial extrusion bioprinting, an emergent branch, has demonstrated a strong potential to enhance bioprinting's engineering versatility. Coaxial bioprinting assists in the fabrication of complex tissue constructs, by enabling concentric deposition of biomaterials. The fabricated tissue constructs started with simple, tubular vasculature but have been substantially developed to integrate complex cell composition and self-assembly, ECM patterning, controlled release, and multi-material gradient profiles. This review article begins with a brief overview of coaxial printing history, followed by an introduction of crucial engineering components. Afterward, we review the recent progress and untapped potential in each specific organ or biological system, and demonstrate how coaxial bioprinting facilitates the creation of tissue constructs. Ultimately, we conclude that this growing technology will contribute significantly to capabilities in the fields of in vitro modeling, pharmaceutical development, and clinical regenerative medicine.
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Affiliation(s)
- Andrew Kjar
- Department of Biological Engineering, Utah State University, Logan, UT, 84322, USA
| | - Bailey McFarland
- Department of Biological Engineering, Utah State University, Logan, UT, 84322, USA
| | - Keetch Mecham
- Department of Biological Engineering, Utah State University, Logan, UT, 84322, USA
| | - Nathan Harward
- Department of Biological Engineering, Utah State University, Logan, UT, 84322, USA
| | - Yu Huang
- Department of Biological Engineering, Utah State University, Logan, UT, 84322, USA
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Bustamante DJ, Basile EJ, Hildreth BM, Browning NW, Jensen SA, Moldovan L, Petrache HI, Moldovan NI. Biofabrication of spheroids fusion-based tumor models: computational simulation of glucose effects. Biofabrication 2021; 13. [PMID: 33498017 DOI: 10.1088/1758-5090/abe025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 01/26/2021] [Indexed: 01/04/2023]
Abstract
In vitro tumor models consisting of cell spheroids are increasingly used for mechanistic studies and pharmacological testing. However, unless vascularized, the availability of nutrients such as glucose to deeper layers of multicellular aggregates is limited. In addition, recent developments in cells-only biofabrication (e.g. 'scaffold-free bioprinting'), allow the creation of more complex spheroid-based structures, further exposing the cells to nutrient deprivation within these constructs. To explore the impact of glucose availability on such tumor-like structures, we used the CompuCell3D (CC3D) platform for modeling of tumor spheroids. By monitoring the types of cells, fusing pairs geometry and the distance between spheroids centers of mass, we made novel heuristic observations on how binary- and multi-spheroid fusions are impacted by glucose availability. At limiting glucose concentrations mimicking hypoglycemia we noted an abrupt collapse of the tumor spheroids, unexpectedly amplified by the contact with normal cell spheroids. At higher glucose concentrations, we found an increased intermixing of cancerous cells, strong anti-phase oscillations between proliferating and quiescent tumor cells and a structural instability of fusing tumor spheroids, leading to their re-fragmentation. In a model of tumor microenvironment composed of normal cell spheroids fusing around a tumoral one, the competition for glucose lead to either the tumor's disappearance, or to its steady expansion. Moreover, the invasion of this microenvironment by individual tumor cells was also strongly depended on the available glucose. In conclusion, we demonstrate the value of computational simulations for anticipating the properties of biofabricated tumor models, and in generating testable hypotheses regarding the relationship between cancer, nutrition and diabetes.
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Affiliation(s)
- David J Bustamante
- IUPUI BME, 799 W. Michigan Street, Indianapolis, Indiana, 46202-5195, UNITED STATES
| | - Elijah J Basile
- IUPUI, 301 University Boulevard, Indianapolis, Indiana, 46202-5146, UNITED STATES
| | - Brady M Hildreth
- IUPUI, 301 University Boulevard, Indianapolis, Indiana, 46202-5146, UNITED STATES
| | - Nathan W Browning
- IUPUI, 301 University Boulevard, Indianapolis, Indiana, 46202-5146, UNITED STATES
| | - S Alexander Jensen
- IUPUI, 301 University Boulevard Suite, Indianapolis, Indiana, 46202-5146, UNITED STATES
| | - Leni Moldovan
- Surgery, Indiana University School of Medicine, 1481 W. 10th St., Room D-2008, Indianapolis, Indiana, 46202-5114, UNITED STATES
| | - Horia I Petrache
- Department of Physics, Indiana University - Purdue University at Indianapolis, 402 N. Blackford Street, LD 154, Indianapolis, Indiana, 46202, UNITED STATES
| | - Nicanor I Moldovan
- VA Medical Center, Indiana University Purdue University at Indianapolis, 1481 W. 10th St., Room C6128, Indianapolis, Indiana, 46202-5143, UNITED STATES
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26
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Zhu H, Qiao X, Liu W, Wang C, Zhao Y. Microglia Play an Essential Role in Synapse Development and Neuron Maturation in Tissue-Engineered Neural Tissues. Front Neurosci 2020; 14:586452. [PMID: 33328858 PMCID: PMC7717954 DOI: 10.3389/fnins.2020.586452] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 10/15/2020] [Indexed: 12/04/2022] Open
Abstract
In the process of constructing engineered neural tissues, we often use mixed primary neural cells, which contain microglia in the cell culture. However, the role that microglia play in the construction of engineered neural tissue has not been well studied. Here, we generated three-dimensional (3D) engineered neural tissues by silk fibroin/collagen composite scaffolds and primary mixed cortical cells. We depleted microglial cells by magnetic separation. Then, we analyzed the neural growth, development, mature and synapse-related gene, and protein expressions compared with the control engineered neural tissues with the microglia-depleted engineered neural tissues. We found that the engineered neural tissues constructed by magnetic separation to remove microglia showed a decrease in the number of synaptic proteins and mature neurons. These findings link microglia to neuron and synaptic maturation and suggest the importance of microglia in constructing engineered neural tissues in vitro.
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Affiliation(s)
- Huimin Zhu
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and BiologicalInterdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
| | - Xin Qiao
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and BiologicalInterdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
| | - Wei Liu
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and BiologicalInterdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
| | - Changyong Wang
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and BiologicalInterdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
| | - Yuwei Zhao
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and BiologicalInterdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
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Ruiz-Garcia H, Alvarado-Estrada K, Schiapparelli P, Quinones-Hinojosa A, Trifiletti DM. Engineering Three-Dimensional Tumor Models to Study Glioma Cancer Stem Cells and Tumor Microenvironment. Front Cell Neurosci 2020; 14:558381. [PMID: 33177991 PMCID: PMC7596188 DOI: 10.3389/fncel.2020.558381] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022] Open
Abstract
Glioblastoma (GBM) is the most common and devastating primary brain tumor, leading to a uniform fatality after diagnosis. A major difficulty in eradicating GBM is the presence of microscopic residual infiltrating disease remaining after multimodality treatment. Glioma cancer stem cells (CSCs) have been pinpointed as the treatment-resistant tumor component that seeds ultimate tumor progression. Despite the key role of CSCs, the ideal preclinical model to study the genetic and epigenetic landmarks driving their malignant behavior while simulating an accurate interaction with the tumor microenvironment (TME) is still missing. The introduction of three-dimensional (3D) tumor platforms, such as organoids and 3D bioprinting, has allowed for a better representation of the pathophysiologic interactions between glioma CSCs and the TME. Thus, these technologies have enabled a more detailed study of glioma biology, tumor angiogenesis, treatment resistance, and even performing high-throughput screening assays of drug susceptibility. First, we will review the foundation of glioma biology and biomechanics of the TME, and then the most up-to-date insights about the applicability of these new tools in malignant glioma research.
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Affiliation(s)
- Henry Ruiz-Garcia
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States.,Department of Neurological Surgery, Mayo Clinic, Jacksonville, FL, United States
| | | | - Paula Schiapparelli
- Department of Neurological Surgery, Mayo Clinic, Jacksonville, FL, United States
| | | | - Daniel M Trifiletti
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States.,Department of Neurological Surgery, Mayo Clinic, Jacksonville, FL, United States
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Datta P, Dey M, Ataie Z, Unutmaz D, Ozbolat IT. 3D bioprinting for reconstituting the cancer microenvironment. NPJ Precis Oncol 2020; 4:18. [PMID: 32793806 PMCID: PMC7385083 DOI: 10.1038/s41698-020-0121-2] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 05/13/2020] [Indexed: 12/30/2022] Open
Abstract
The cancer microenvironment is known for its complexity, both in its content as well as its dynamic nature, which is difficult to study using two-dimensional (2D) cell culture models. Several advances in tissue engineering have allowed more physiologically relevant three-dimensional (3D) in vitro cancer models, such as spheroid cultures, biopolymer scaffolds, and cancer-on-a-chip devices. Although these models serve as powerful tools for dissecting the roles of various biochemical and biophysical cues in carcinoma initiation and progression, they lack the ability to control the organization of multiple cell types in a complex dynamic 3D architecture. By virtue of its ability to precisely define perfusable networks and position of various cell types in a high-throughput manner, 3D bioprinting has the potential to more closely recapitulate the cancer microenvironment, relative to current methods. In this review, we discuss the applications of 3D bioprinting in mimicking cancer microenvironment, their use in immunotherapy as prescreening tools, and overview of current bioprinted cancer models.
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Affiliation(s)
- Pallab Datta
- Centre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology Shibpur, Howrah, India
| | - Madhuri Dey
- Department of Chemistry, Penn State University, University Park, PA USA
| | - Zaman Ataie
- Engineering Science and Mechanics Department, Penn State University, University Park, PA USA
| | - Derya Unutmaz
- The Jackson Laboratory of Genomics Medicine, Farmington, CT USA
| | - Ibrahim T. Ozbolat
- Engineering Science and Mechanics Department, Penn State University, University Park, PA USA
- The Huck Institutes of the Life Sciences, Penn State University, University Park, PA USA
- Biomedical Engineering Department, Penn State University, University Park, PA USA
- Materials Research Institute, Penn State University, University Park, PA USA
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30
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Khosla K, Naus CC, Sin WC. Cx43 in Neural Progenitors Promotes Glioma Invasion in a 3D Culture System. Int J Mol Sci 2020; 21:ijms21155216. [PMID: 32717889 PMCID: PMC7432065 DOI: 10.3390/ijms21155216] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/12/2020] [Accepted: 07/20/2020] [Indexed: 12/21/2022] Open
Abstract
The environment that envelops the cancer cells intimately affects the malignancy of human cancers. In the case of glioma, an aggressive adult brain cancer, its high rate of recurrence after total resection is responsible for a poor prognosis. Connexin43 (Cx43) is a gap junction protein with a prominent presence in glioma-associated normal brain cells, specifically in the reactive astrocytes. We previously demonstrated that elimination of Cx43 in these astrocytes reduces glioma invasion in a syngeneic mouse model. To further our investigation in human glioma cells, we developed a scaffold-free 3D platform that takes into account both the tumor and its interaction with the surrounding tissue. Using cell-tracking dyes and 3D laser scanning confocal microscopy, we now report that the elimination of Cx43 protein in neural progenitor spheroids reduced the invasiveness of human brain tumor-initiating cells, confirming our earlier observation in an intact mouse brain. By investigating the glioma invasion in a defined multicellular system with a tumor boundary that mimics the intact brain environment, our findings strengthen Cx43 as a candidate target for glioma control.
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Zhang DY, Song H, Ming GL. Modeling neurological disorders using brain organoids. Semin Cell Dev Biol 2020; 111:4-14. [PMID: 32561297 DOI: 10.1016/j.semcdb.2020.05.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/08/2020] [Accepted: 05/27/2020] [Indexed: 12/18/2022]
Abstract
Neurological disorders are challenging to study given the complexity and species-specific features of the organ system. Brain organoids are three dimensional structured aggregates of neural tissue that are generated by self-organization and differentiation from pluripotent stem cells under optimized culture conditions. These brain organoids exhibit similar features of structural organization and cell type diversity as the developing human brain, creating opportunities to recapitulate disease phenotypes that are not otherwise accessible. Here we review the initial attempt in the field to apply brain organoid models for the study of many different types of human neurological disorders across a wide range of etiologies and pathophysiologies. Forthcoming advancements in both brain organoid technology as well as analytical methods have significant potentials to advance the understanding of neurological disorders and to uncover opportunities for meaningful therapeutic intervention.
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Affiliation(s)
- Daniel Y Zhang
- Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Sun H, Jia Y, Dong H, Dong D, Zheng J. Combining additive manufacturing with microfluidics: an emerging method for developing novel organs-on-chips. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.10.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Oztan YC, Nawafleh N, Zhou Y, Liyanage PY, Hettiarachchi SD, Seven ES, Leblanc RM, Ouhtit A, Celik E. Recent Advances on Utilization of Bioprinting for Tumor Modeling. BIOPRINTING (AMSTERDAM, NETHERLANDS) 2020; 18:10.1016/j.bprint.2020.e00079. [PMID: 32099931 PMCID: PMC7041912 DOI: 10.1016/j.bprint.2020.e00079] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Despite the recent rigorous studies towards a possible cure, cancer still remains as one of the most daunting problems faced by the humanity. Currently utilized two-dimensional cancer models are known to have various insuperable limitations such as insufficient biomimicry of the heterogeneous conditions of tumors and their three-dimensional structures. Discrepancies between the laboratory models and the actual tumor environment significantly impair a thorough comprehension of the carcinogenesis process and development of successful remedies against cancer. Modeling tumor microenvironments through bioprinting poses strong potential to minimize the effects of the aforementioned issues thanks to its freeform nature, adaptability, customizability, scalability and diversity. Numerous research studies involving three-dimensional modeling of various cancer types using bioprinting technologies have been reported, recently. In this review, we provide a broad summary of these studies to help better represent their potential and analyze their contribution to cancer research.
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Affiliation(s)
- Y. Cagri Oztan
- Department of Aerospace and Mechanical Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Nashat Nawafleh
- Department of Aerospace and Mechanical Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Yiqun Zhou
- Department of Chemistry, University of Miami, Coral Gables, FL 33146, USA
| | - Piumi Y. Liyanage
- Department of Chemistry, University of Miami, Coral Gables, FL 33146, USA
| | | | - Elif S. Seven
- Department of Chemistry, University of Miami, Coral Gables, FL 33146, USA
| | - Roger M. Leblanc
- Department of Chemistry, University of Miami, Coral Gables, FL 33146, USA
| | - Allal Ouhtit
- Department of Biological & Environmental Sciences, College of Arts & Sciences, Qatar University, Doha, Qatar
| | - Emrah Celik
- Department of Aerospace and Mechanical Engineering, University of Miami, Coral Gables, FL 33146, USA
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Song Y, Su X, Firouzian KF, Fang Y, Zhang T, Sun W. Engineering of brain-like tissue constructs via 3D Cell-printing technology. Biofabrication 2020; 12:035016. [DOI: 10.1088/1758-5090/ab7d76] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Azzarelli R. Organoid Models of Glioblastoma to Study Brain Tumor Stem Cells. Front Cell Dev Biol 2020; 8:220. [PMID: 32373607 PMCID: PMC7176979 DOI: 10.3389/fcell.2020.00220] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/16/2020] [Indexed: 12/14/2022] Open
Abstract
Glioblastoma represents an aggressive form of brain cancer characterized by poor prognosis and a 5-year survival rate of only 3–7%. Despite remarkable advances in brain tumor research in the past decades, very little has changed for patients, due in part to the recurrent nature of the disease and to the lack of suitable models to perform genotype-phenotype association studies and personalized drug screening. In vitro culture of cancer cells derived from patient biopsies has been fundamental in understanding tumor biology and for testing the effect of various drugs. These cultures emphasize the role of in vitro cancer stem cells (CSCs), which fuel tumor growth and are thought to be the cause of relapse after treatment. However, it has become clear over the years that a 2D monolayer culture of these CSCs has certain disadvantages, including the lack of heterogeneous cell-cell and cell-environment interactions, which can now be partially overcome by the introduction of 3D organoid cultures. This is a novel and expanding field of research and in this review, I describe the emerging 3D models of glioblastoma. I also discuss their potential to advance our knowledge of tumor biology and CSC heterogeneity, while debating their current limitations.
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Affiliation(s)
- Roberta Azzarelli
- Unit of Cell and Developmental Biology, Department of Biology, University of Pisa, Pisa, Italy
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de la Vega L, Lee C, Sharma R, Amereh M, Willerth SM. 3D bioprinting models of neural tissues: The current state of the field and future directions. Brain Res Bull 2019; 150:240-249. [DOI: 10.1016/j.brainresbull.2019.06.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 05/30/2019] [Accepted: 06/06/2019] [Indexed: 01/01/2023]
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Mehrotra S, Moses JC, Bandyopadhyay A, Mandal BB. 3D Printing/Bioprinting Based Tailoring of in Vitro Tissue Models: Recent Advances and Challenges. ACS APPLIED BIO MATERIALS 2019; 2:1385-1405. [DOI: 10.1021/acsabm.9b00073] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Shreya Mehrotra
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Joseph Christakiran Moses
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Ashutosh Bandyopadhyay
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Biman B. Mandal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
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