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Xie R, Pal V, Yu Y, Lu X, Gao M, Liang S, Huang M, Peng W, Ozbolat IT. A comprehensive review on 3D tissue models: Biofabrication technologies and preclinical applications. Biomaterials 2024; 304:122408. [PMID: 38041911 PMCID: PMC10843844 DOI: 10.1016/j.biomaterials.2023.122408] [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: 09/04/2023] [Revised: 11/09/2023] [Accepted: 11/22/2023] [Indexed: 12/04/2023]
Abstract
The limitations of traditional two-dimensional (2D) cultures and animal testing, when it comes to precisely foreseeing the toxicity and clinical effectiveness of potential drug candidates, have resulted in a notable increase in the rate of failure during the process of drug discovery and development. Three-dimensional (3D) in-vitro models have arisen as substitute platforms with the capacity to accurately depict in-vivo conditions and increasing the predictivity of clinical effects and toxicity of drug candidates. It has been found that 3D models can accurately represent complex tissue structure of human body and can be used for a wide range of disease modeling purposes. Recently, substantial progress in biomedicine, materials and engineering have been made to fabricate various 3D in-vitro models, which have been exhibited better disease progression predictivity and drug effects than convention models, suggesting a promising direction in pharmaceutics. This comprehensive review highlights the recent developments in 3D in-vitro tissue models for preclinical applications including drug screening and disease modeling targeting multiple organs and tissues, like liver, bone, gastrointestinal tract, kidney, heart, brain, and cartilage. We discuss current strategies for fabricating 3D models for specific organs with their strengths and pitfalls. We expand future considerations for establishing a physiologically-relevant microenvironment for growing 3D models and also provide readers with a perspective on intellectual property, industry, and regulatory landscape.
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Affiliation(s)
- Renjian Xie
- Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China
| | - Vaibhav Pal
- Department of Chemistry, Pennsylvania State University, University Park, PA, USA; The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Yanrong Yu
- School of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China
| | - Xiaolu Lu
- Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China
| | - Mengwei Gao
- School of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China
| | - Shijie Liang
- School of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China
| | - Miao Huang
- Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China
| | - Weijie Peng
- Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China; School of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China.
| | - Ibrahim T Ozbolat
- The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA; Engineering Science and Mechanics Department, Penn State University, University Park, PA, USA; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA; Materials Research Institute, Pennsylvania State University, University Park, PA, USA; Department of Neurosurgery, Pennsylvania State College of Medicine, Hershey, PA, USA; Penn State Cancer Institute, Penn State University, Hershey, PA, 17033, USA; Department of Medical Oncology, Cukurova University, Adana, 01130, Turkey; Biotechnology Research and Application Center, Cukurova University, Adana, 01130, Turkey.
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Zottel A, Jovčevska I, Šamec N. Non-animal glioblastoma models for personalized treatment. Heliyon 2023; 9:e21070. [PMID: 37928397 PMCID: PMC10622609 DOI: 10.1016/j.heliyon.2023.e21070] [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: 07/11/2023] [Revised: 07/24/2023] [Accepted: 10/13/2023] [Indexed: 11/07/2023] Open
Abstract
Glioblastoma is an extremely lethal cancer characterized by great heterogeneity at different molecular and cellular levels. As a result, treatment options have moved far from systemic and universal therapies toward targeted treatments and personalized medicine. However, for successful translation from preclinical studies to clinical trials, experiments must be performed on reliable disease models. Numerous experimental models have been developed for glioblastoma, ranging from simple 2D cell cultures to study the nature of the disease to complex 3D models such as neurospheres, organoids, tissue-slice cultures, bioprinted models, and tumor on chip, as perfect prototypes to evaluate the therapeutic potential of different drugs. The presence of multiple research models is consistent with the complexity and molecular diversity of glioblastoma. The advantage of such models is the recapitulation of the tumor environment, and in some cases the preservation of immune system components as well as the creation of simple vessels. There are also two case studies translating in vitro studies on glioblastoma organoids to patients as well as four ongoing clinical trials using glioblastoma models, indicating high clinical potential of glioblastoma models.
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Affiliation(s)
- Alja Zottel
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, 1000, Ljubljana, Slovenia
| | - Ivana Jovčevska
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, 1000, Ljubljana, Slovenia
| | - Neja Šamec
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, 1000, Ljubljana, Slovenia
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Wen J, Liu F, Cheng Q, Weygant N, Liang X, Fan F, Li C, Zhang L, Liu Z. Applications of organoid technology to brain tumors. CNS Neurosci Ther 2023; 29:2725-2743. [PMID: 37248629 PMCID: PMC10493676 DOI: 10.1111/cns.14272] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/07/2023] [Accepted: 05/09/2023] [Indexed: 05/31/2023] Open
Abstract
Lacking appropriate model impedes basic and preclinical researches of brain tumors. Organoids technology applying on brain tumors enables great recapitulation of the original tumors. Here, we compared brain tumor organoids (BTOs) with common models including cell lines, tumor spheroids, and patient-derived xenografts. Different BTOs can be customized to research objectives and particular brain tumor features. We systematically introduce the establishments and strengths of four different BTOs. BTOs derived from patient somatic cells are suitable for mimicking brain tumors caused by germline mutations and abnormal neurodevelopment, such as the tuberous sclerosis complex. BTOs derived from human pluripotent stem cells with genetic manipulations endow for identifying and understanding the roles of oncogenes and processes of oncogenesis. Brain tumoroids are the most clinically applicable BTOs, which could be generated within clinically relevant timescale and applied for drug screening, immunotherapy testing, biobanking, and investigating brain tumor mechanisms, such as cancer stem cells and therapy resistance. Brain organoids co-cultured with brain tumors (BO-BTs) own the greatest recapitulation of brain tumors. Tumor invasion and interactions between tumor cells and brain components could be greatly explored in this model. BO-BTs also offer a humanized platform for testing the therapeutic efficacy and side effects on neurons in preclinical trials. We also introduce the BTOs establishment fused with other advanced techniques, such as 3D bioprinting. So far, over 11 brain tumor types of BTOs have been established, especially for glioblastoma. We conclude BTOs could be a reliable model to understand brain tumors and develop targeted therapies.
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Affiliation(s)
- Jie Wen
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Fangkun Liu
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Quan Cheng
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Nathaniel Weygant
- Academy of Integrative MedicineFujian University of Traditional Chinese MedicineFuzhouFujianChina
- Fujian Key Laboratory of Integrative Medicine in GeriatricsFujian University of Traditional Chinese MedicineFuzhouFujianChina
| | - Xisong Liang
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Fan Fan
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Chuntao Li
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Liyang Zhang
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
| | - Zhixiong Liu
- Department of NeurosurgeryXiangya Hospital, Central South UniversityChangshaHunanChina
- Hypothalamic‐pituitary Research CenterXiangya Hospital, Central South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric DisordersXiangya Hospital, Central South UniversityChangshaHunanChina
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Cui H, Sun X, Schilling M, Herold-Mende C, Reischl M, Levkin PA, Popova AA, Turcan Ş. Repurposing FDA-Approved Drugs for Temozolomide-Resistant IDH1 Mutant Glioma Using High-Throughput Miniaturized Screening on Droplet Microarray Chip. Adv Healthc Mater 2023; 12:e2300591. [PMID: 37162029 DOI: 10.1002/adhm.202300591] [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: 02/23/2023] [Revised: 04/25/2023] [Indexed: 05/11/2023]
Abstract
To address the challenge of drug resistance and limited treatment options for recurrent gliomas with IDH1 mutations, a highly miniaturized screening of 2208 FDA-approved drugs is conducted using a high-throughput droplet microarray (DMA) platform. Two patient-derived temozolomide-resistant tumorspheres harboring endogenous IDH1 mutations (IDH1mut ) are utilized. Screening identifies over 20 drugs, including verteporfin (VP), that significantly affected tumorsphere formation and viability. Proteomics analysis reveals that nuclear pore complex may be a potential VP target, suggesting a new mechanism of action independent of its known effects on YAP1. Knockdown experiments exclude YAP1 as a drug target in tumorspheres. Pathway analysis shows that NUP107 is a potential upstream regulator associated with VP response. Analysis of publicly available genomic datasets shows a significant correlation between high NUP107 expression and decreased survival in IDH1mut astrocytoma, suggesting NUP107 may be a potential biomarker for VP response. This study demonstrates a miniaturized approach for cost-effective drug repurposing using 3D glioma models and identifies nuclear pore complex as a potential target for drug development. The findings provide preclinical evidence to support in vivo and clinical studies of VP and other identified compounds to treat IDH1mut gliomas, which may ultimately improve clinical outcomes for patients with this challenging disease.
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Affiliation(s)
- Haijun Cui
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Xueyuan Sun
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Marcel Schilling
- Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Christel Herold-Mende
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Pavel A Levkin
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Institute of Organic Chemistry (IOC), Karlsruhe Institute of Technology (KIT), Fritz-Haber Weg 6, 76131, Karlsruhe, Germany
| | - Anna A Popova
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Şevin Turcan
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
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Wang X, Sun Y, Zhang DY, Ming GL, Song H. Glioblastoma modeling with 3D organoids: progress and challenges. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad008. [PMID: 38596241 PMCID: PMC10913843 DOI: 10.1093/oons/kvad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Glioblastoma (GBM) is the most aggressive adult primary brain tumor with nearly universal treatment resistance and recurrence. The mainstay of therapy remains maximal safe surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy. Despite intensive investigation, alternative treatment options, such as immunotherapy or targeted molecular therapy, have yielded limited success to achieve long-term remission. This difficulty is partly due to the lack of pre-clinical models that fully recapitulate the intratumoral and intertumoral heterogeneity of GBM and the complex tumor microenvironment. Recently, GBM 3D organoids originating from resected patient tumors, genetic manipulation of induced pluripotent stem cell (iPSC)-derived brain organoids and bio-printing or fusion with non-malignant tissues have emerged as novel culture systems to portray the biology of GBM. Here, we highlight several methodologies for generating GBM organoids and discuss insights gained using such organoid models compared to classic modeling approaches using cell lines and xenografts. We also outline limitations of current GBM 3D organoids, most notably the difficulty retaining the tumor microenvironment, and discuss current efforts for improvements. Finally, we propose potential applications of organoid models for a deeper mechanistic understanding of GBM and therapeutic development.
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Affiliation(s)
- Xin Wang
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yusha Sun
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel Y Zhang
- Department of Neurosurgery, 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, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, 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, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- GBM Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania Philadelphia, PA 19104, USA
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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: 0] [Impact Index Per Article: 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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Ahmed T. Biomaterial-based in vitro 3D modeling of glioblastoma multiforme. CANCER PATHOGENESIS AND THERAPY 2023; 1:177-194. [PMID: 38327839 PMCID: PMC10846340 DOI: 10.1016/j.cpt.2023.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/24/2022] [Accepted: 01/04/2023] [Indexed: 02/09/2024]
Abstract
Adult-onset brain cancers, such as glioblastomas, are particularly lethal. People with glioblastoma multiforme (GBM) do not anticipate living for more than 15 months if there is no cure. The results of conventional treatments over the past 20 years have been underwhelming. Tumor aggressiveness, location, and lack of systemic therapies that can penetrate the blood-brain barrier are all contributing factors. For GBM treatments that appear promising in preclinical studies, there is a considerable rate of failure in phase I and II clinical trials. Unfortunately, access becomes impossible due to the intricate architecture of tumors. In vitro, bioengineered cancer models are currently being used by researchers to study disease development, test novel therapies, and advance specialized medications. Many different techniques for creating in vitro systems have arisen over the past few decades due to developments in cellular and tissue engineering. Later-stage research may yield better results if in vitro models that resemble brain tissue and the blood-brain barrier are used. With the use of 3D preclinical models made available by biomaterials, researchers have discovered that it is possible to overcome these limitations. Innovative in vitro models for the treatment of GBM are possible using biomaterials and novel drug carriers. This review discusses the benefits and drawbacks of 3D in vitro glioblastoma modeling systems.
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Affiliation(s)
- Tanvir Ahmed
- Department of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka, 1229, Bangladesh
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Rajan RG, Fernandez-Vega V, Sperry J, Nakashima J, Do LH, Andrews W, Boca S, Islam R, Chowdhary SA, Seldin J, Souza GR, Scampavia L, Hanafy KA, Vrionis FD, Spicer TP. In Vitro and In Vivo Drug-Response Profiling Using Patient-Derived High-Grade Glioma. Cancers (Basel) 2023; 15:3289. [PMID: 37444398 PMCID: PMC10339991 DOI: 10.3390/cancers15133289] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Genomic profiling cannot solely predict the complexity of how tumor cells behave in their in vivo microenvironment and their susceptibility to therapies. The aim of the study was to establish a functional drug prediction model utilizing patient-derived GBM tumor samples for in vitro testing of drug efficacy followed by in vivo validation to overcome the disadvantages of a strict pharmacogenomics approach. METHODS High-throughput in vitro pharmacologic testing of patient-derived GBM tumors cultured as 3D organoids offered a cost-effective, clinically and phenotypically relevant model, inclusive of tumor plasticity and stroma. RNAseq analysis supplemented this 128-compound screening to predict more efficacious and patient-specific drug combinations with additional tumor stemness evaluated using flow cytometry. In vivo PDX mouse models rapidly validated (50 days) and determined mutational influence alongside of drug efficacy. We present a representative GBM case of three tumors resected at initial presentation, at first recurrence without any treatment, and at a second recurrence following radiation and chemotherapy, all from the same patient. RESULTS Molecular and in vitro screening helped identify effective drug targets against several pathways as well as synergistic drug combinations of cobimetinib and vemurafenib for this patient, supported in part by in vivo tumor growth assessment. Each tumor iteration showed significantly varying stemness and drug resistance. CONCLUSIONS Our integrative model utilizing molecular, in vitro, and in vivo approaches provides direct evidence of a patient's tumor response drifting with treatment and time, as demonstrated by dynamic changes in their tumor profile, which may affect how one would address that drift pharmacologically.
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Affiliation(s)
- Robin G. Rajan
- Helene and Stephen Weicholz Cell Therapy Laboratory, Marcus Neuroscience Institute, Boca Raton Regional Hospital, 800 Meadows Road, Boca Raton, FL 33486, USA; (R.G.R.); (S.A.C.); (K.A.H.)
| | - Virneliz Fernandez-Vega
- The Herbert Wertheim UF Scripps Institute Molecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, 130 Scripps Way, Jupiter, FL 33458, USA; (V.F.-V.); (L.S.)
| | - Jantzen Sperry
- Certis Oncology, 5626 Oberlin Dr. Suite 110, San Diego, CA 92121, USA; (J.S.); (J.N.); (L.H.D.); (W.A.)
| | - Jonathan Nakashima
- Certis Oncology, 5626 Oberlin Dr. Suite 110, San Diego, CA 92121, USA; (J.S.); (J.N.); (L.H.D.); (W.A.)
| | - Long H. Do
- Certis Oncology, 5626 Oberlin Dr. Suite 110, San Diego, CA 92121, USA; (J.S.); (J.N.); (L.H.D.); (W.A.)
| | - Warren Andrews
- Certis Oncology, 5626 Oberlin Dr. Suite 110, San Diego, CA 92121, USA; (J.S.); (J.N.); (L.H.D.); (W.A.)
| | - Simina Boca
- Innovation Center for Biomedical Informatics (ICBI), Departments of Oncology and Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite G100, Washington, DC 20007, USA;
| | - Rezwanul Islam
- Florida Atlantic University College of Medicine, 777 Glades Road, Boca Raton, FL 33431, USA;
| | - Sajeel A. Chowdhary
- Helene and Stephen Weicholz Cell Therapy Laboratory, Marcus Neuroscience Institute, Boca Raton Regional Hospital, 800 Meadows Road, Boca Raton, FL 33486, USA; (R.G.R.); (S.A.C.); (K.A.H.)
| | - Jan Seldin
- Greiner Bio-One North America, Inc., 4238 Capital Drive, Monroe, NC 28110, USA; (J.S.); (G.R.S.)
| | - Glauco R. Souza
- Greiner Bio-One North America, Inc., 4238 Capital Drive, Monroe, NC 28110, USA; (J.S.); (G.R.S.)
| | - Louis Scampavia
- The Herbert Wertheim UF Scripps Institute Molecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, 130 Scripps Way, Jupiter, FL 33458, USA; (V.F.-V.); (L.S.)
| | - Khalid A. Hanafy
- Helene and Stephen Weicholz Cell Therapy Laboratory, Marcus Neuroscience Institute, Boca Raton Regional Hospital, 800 Meadows Road, Boca Raton, FL 33486, USA; (R.G.R.); (S.A.C.); (K.A.H.)
- Florida Atlantic University College of Medicine, 777 Glades Road, Boca Raton, FL 33431, USA;
| | - Frank D. Vrionis
- Helene and Stephen Weicholz Cell Therapy Laboratory, Marcus Neuroscience Institute, Boca Raton Regional Hospital, 800 Meadows Road, Boca Raton, FL 33486, USA; (R.G.R.); (S.A.C.); (K.A.H.)
- Florida Atlantic University College of Medicine, 777 Glades Road, Boca Raton, FL 33431, USA;
| | - Timothy P. Spicer
- The Herbert Wertheim UF Scripps Institute Molecular Screening Center, Department of Molecular Medicine, UF Scripps Biomedical Research, 130 Scripps Way, Jupiter, FL 33458, USA; (V.F.-V.); (L.S.)
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Benkő BM, Lamprou DA, Sebestyén A, Zelkó R, Sebe I. Clinical, pharmacological, and formulation evaluation of disulfiram in the treatment of glioblastoma - a systematic literature review. Expert Opin Drug Deliv 2023; 20:541-557. [PMID: 36922013 DOI: 10.1080/17425247.2023.2190581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
INTRODUCTION Glioblastoma (GB) is one of the most challenging central nervous system (CNS) tumors in treatment options and response, urging the development of novel management strategies. The anti-alcoholism drug, disulfiram (DS), has a potential anticancer activity, and its complex mechanism of action is assumed to be well exploited against the heterogeneous GB. AREA COVERED Through a systematic literature review about repositioning DS to GB treatment, an evaluation of the clinical, pharmacological, and formulation strategies is provided to specify the challenges of drug delivery and thus to advance its clinical translation. From six databases, 35 articles were selected, including case report (1); clinical trials (3); original articles mainly representing in vitro and preclinical pharmacological data, and 10 dealing with technological approaches. EXPERT OPINION The repositioning of DS in GB treatment is facing drug and tumor-associated limitations due to the oral drug's low bioavailability, unwanted metabolism, and inefficient delivery to brain-tumor tissue. Development strategies using molecular encapsulation of DS and the parenteral dosage forms improve the anticancer pharmacology of the drug. The development of optimized drug delivery systems (DDS) shows promise for the clinical translation of DS into GB adjuvant therapy.
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Affiliation(s)
- Beáta-Mária Benkő
- University Pharmacy Department of Pharmacy Administration, Semmelweis University, Budapest, Hungary
| | | | - Anna Sebestyén
- Tumour Biology, Cell and Tissue Culture Laboratory, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Romána Zelkó
- University Pharmacy Department of Pharmacy Administration, Semmelweis University, Budapest, Hungary
| | - István Sebe
- University Pharmacy Department of Pharmacy Administration, Semmelweis University, Budapest, Hungary
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10
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Feodoroff M, Mikkonen P, Turunen L, Hassinen A, Paasonen L, Paavolainen L, Potdar S, Murumägi A, Kallioniemi O, Pietiäinen V. Comparison of two supporting matrices for patient-derived cancer cells in 3D drug sensitivity and resistance testing assay (3D-DSRT). SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2023:S2472-5552(23)00025-4. [PMID: 36934951 DOI: 10.1016/j.slasd.2023.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/12/2023] [Accepted: 03/13/2023] [Indexed: 03/21/2023]
Abstract
Central to the success of functional precision medicine of solid tumors is to perform drug testing of patient-derived cancer cells (PDCs) in tumor-mimicking ex vivo conditions. While high throughput (HT) drug screening methods have been well-established for cells cultured in two-dimensional (2D) format, this approach may have limited value in predicting clinical responses. Here, we describe the results of the optimization of drug sensitivity and resistance testing (DSRT) in three-dimensional (3D) growth supporting matrices in a HT mode (3D-DSRT) using the hepatocyte cell line (HepG2) as an example. Supporting matrices included widely used animal-derived Matrigel and cellulose-based hydrogel, GrowDex, which has earlier been shown to support 3D growth of cell lines and stem cells. Further, the sensitivity of ovarian cancer PDCs, from two patients included in the functional precision medicine study, was tested for 52 drugs in 5 different concentrations using 3D-DSRT. Shortly, in the optimized protocol, the PDCs are embedded with matrices and seeded to 384-well plates to allow the formation of the spheroids prior to the addition of drugs in nanoliter volumes with acoustic dispenser. The sensitivity of spheroids to drug treatments is measured with cell viability readout (here, 72 h after addition of drugs). The quality control and data analysis are performed with openly available Breeze software. We show the usability of both matrices in established 3D-DSRT, and report 2D vs 3D growth condition dependent differences in sensitivities of ovarian cancer PDCs to MEK-inhibitors and cytotoxic drugs. This study provides a proof-of-concept for robust and fast screening of drug sensitivities of PDCs in 3D-DSRT, which is important not only for drug discovery but also for personalized ex vivo drug testing in functional precision medicine studies. These findings suggest that comparing results of 2D- and 3D-DSRT is essential for understanding drug mechanisms and for selecting the most effective treatment for the patient.
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Affiliation(s)
- Michaela Feodoroff
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland; Laboratory of Immunovirotherapy, Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland; TRIMM, Translational Immunology Research Program, University of Helsinki, Helsinki, Uusimaa, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Piia Mikkonen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland; UPM-Kymmene Oyj, Helsinki, Finland
| | - Laura Turunen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland
| | - Antti Hassinen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland
| | | | - Lassi Paavolainen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland
| | - Swapnil Potdar
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland
| | - Astrid Murumägi
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Olli Kallioniemi
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland; Science for Life Laboratory and Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Vilja Pietiäinen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute for Life Sciences -HiLIFE, University of Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
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11
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Fabro F, Kannegieter NM, de Graaf EL, Queiroz K, Lamfers MLM, Ressa A, Leenstra S. Novel kinome profiling technology reveals drug treatment is patient and 2D/3D model dependent in glioblastoma. Front Oncol 2022; 12:1012236. [PMID: 36408180 PMCID: PMC9670801 DOI: 10.3389/fonc.2022.1012236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
Glioblastoma is the deadliest brain cancer. One of the main reasons for poor outcome resides in therapy resistance, which adds additional challenges in finding an effective treatment. Small protein kinase inhibitors are molecules that have become widely studied for cancer treatments, including glioblastoma. However, none of these drugs have demonstrated a therapeutic activity or brought more benefit compared to the current standard procedure in clinical trials. Hence, understanding the reasons of the limited efficacy and drug resistance is valuable to develop more effective strategies toward the future. To gain novel insights into the method of action and drug resistance in glioblastoma, we established in parallel two patient-derived glioblastoma 2D and 3D organotypic multicellular spheroids models, and exposed them to a prolonged treatment of three weeks with temozolomide or either the two small protein kinase inhibitors enzastaurin and imatinib. We coupled the phenotypic evidence of cytotoxicity, proliferation, and migration to a novel kinase activity profiling platform (QuantaKinome™) that measured the activities of the intracellular network of kinases affected by the drug treatments. The results revealed a heterogeneous inter-patient phenotypic and molecular response to the different drugs. In general, small differences in kinase activation were observed, suggesting an intrinsic low influence of the drugs to the fundamental cellular processes like proliferation and migration. The pathway analysis indicated that many of the endogenously detected kinases were associated with the ErbB signaling pathway. We showed the intertumoral variability in drug responses, both in terms of efficacy and resistance, indicating the importance of pursuing a more personalized approach. In addition, we observed the influence derived from the application of 2D or 3D models in in vitro studies of kinases involved in the ErbB signaling pathway. We identified in one 3D sample a new resistance mechanism derived from imatinib treatment that results in a more invasive behavior. The present study applied a new approach to detect unique and specific drug effects associated with pathways in in vitro screening of compounds, to foster future drug development strategies for clinical research in glioblastoma.
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Affiliation(s)
- Federica Fabro
- Department of Neurosurgery, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, Netherlands
| | | | | | | | - Martine L. M. Lamfers
- Department of Neurosurgery, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, Netherlands
| | | | - Sieger Leenstra
- Department of Neurosurgery, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, Netherlands
- *Correspondence: Sieger Leenstra,
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12
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Emerging biomaterials and technologies to control stem cell fate and patterning in engineered 3D tissues and organoids. Biointerphases 2022; 17:060801. [DOI: 10.1116/6.0002034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The ability to create complex three-dimensional cellular models that can effectively replicate the structure and function of human organs and tissues in vitro has the potential to revolutionize medicine. Such models could facilitate the interrogation of developmental and disease processes underpinning fundamental discovery science, vastly accelerate drug development and screening, or even be used to create tissues for implantation into the body. Realization of this potential, however, requires the recreation of complex biochemical, biophysical, and cellular patterns of 3D tissues and remains a key challenge in the field. Recent advances are being driven by improved knowledge of tissue morphogenesis and architecture and technological developments in bioengineering and materials science that can create the multidimensional and dynamic systems required to produce complex tissue microenvironments. In this article, we discuss challenges for in vitro models of tissues and organs and summarize the current state-of-the art in biomaterials and bioengineered systems that aim to address these challenges. This includes both top-down technologies, such as 3D photopatterning, magnetism, acoustic forces, and cell origami, as well as bottom-up patterning using 3D bioprinting, microfluidics, cell sheet technology, or composite scaffolds. We illustrate the varying ways that these can be applied to suit the needs of different tissues and applications by focussing on specific examples of patterning the bone-tendon interface, kidney organoids, and brain cancer models. Finally, we discuss the challenges and future prospects in applying materials science and bioengineering to develop high-quality 3D tissue structures for in vitro studies.
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13
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Ntafoulis I, Koolen SLW, Leenstra S, Lamfers MLM. Drug Repurposing, a Fast-Track Approach to Develop Effective Treatments for Glioblastoma. Cancers (Basel) 2022; 14:3705. [PMID: 35954371 PMCID: PMC9367381 DOI: 10.3390/cancers14153705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/25/2022] [Accepted: 07/26/2022] [Indexed: 12/10/2022] Open
Abstract
Glioblastoma (GBM) remains one of the most difficult tumors to treat. The mean overall survival rate of 15 months and the 5-year survival rate of 5% have not significantly changed for almost 2 decades. Despite progress in understanding the pathophysiology of the disease, no new effective treatments to combine with radiation therapy after surgical tumor debulking have become available since the introduction of temozolomide in 1999. One of the main reasons for this is the scarcity of compounds that cross the blood-brain barrier (BBB) and reach the brain tumor tissue in therapeutically effective concentrations. In this review, we focus on the role of the BBB and its importance in developing brain tumor treatments. Moreover, we discuss drug repurposing, a drug discovery approach to identify potential effective candidates with optimal pharmacokinetic profiles for central nervous system (CNS) penetration and that allows rapid implementation in clinical trials. Additionally, we provide an overview of repurposed candidate drug currently being investigated in GBM at the preclinical and clinical levels. Finally, we highlight the importance of phase 0 trials to confirm tumor drug exposure and we discuss emerging drug delivery technologies as an alternative route to maximize therapeutic efficacy of repurposed candidate drug.
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Affiliation(s)
- Ioannis Ntafoulis
- Brain Tumor Center, Department of Neurosurgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands; (I.N.); (S.L.)
| | - Stijn L. W. Koolen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands;
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Sieger Leenstra
- Brain Tumor Center, Department of Neurosurgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands; (I.N.); (S.L.)
| | - Martine L. M. Lamfers
- Brain Tumor Center, Department of Neurosurgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands; (I.N.); (S.L.)
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14
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Dankó T, Petővári G, Raffay R, Sztankovics D, Moldvai D, Vetlényi E, Krencz I, Rókusz A, Sipos K, Visnovitz T, Pápay J, Sebestyén A. Characterisation of 3D Bioprinted Human Breast Cancer Model for In Vitro Drug and Metabolic Targeting. Int J Mol Sci 2022; 23:ijms23137444. [PMID: 35806452 PMCID: PMC9267600 DOI: 10.3390/ijms23137444] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/26/2022] [Accepted: 06/27/2022] [Indexed: 02/07/2023] Open
Abstract
Monolayer cultures, the less standard three-dimensional (3D) culturing systems, and xenografts are the main tools used in current basic and drug development studies of cancer research. The aim of biofabrication is to design and construct a more representative in vivo 3D environment, replacing two-dimensional (2D) cell cultures. Here, we aim to provide a complex comparative analysis of 2D and 3D spheroid culturing, and 3D bioprinted and xenografted breast cancer models. We established a protocol to produce alginate-based hydrogel bioink for 3D bioprinting and the long-term culturing of tumour cells in vitro. Cell proliferation and tumourigenicity were assessed with various tests. Additionally, the results of rapamycin, doxycycline and doxorubicin monotreatments and combinations were also compared. The sensitivity and protein expression profile of 3D bioprinted tissue-mimetic scaffolds showed the highest similarity to the less drug-sensitive xenograft models. Several metabolic protein expressions were examined, and the in situ tissue heterogeneity representing the characteristics of human breast cancers was also verified in 3D bioprinted and cultured tissue-mimetic structures. Our results provide additional steps in the direction of representing in vivo 3D situations in in vitro studies. Future use of these models could help to reduce the number of animal experiments and increase the success rate of clinical phase trials.
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Affiliation(s)
- Titanilla Dankó
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Gábor Petővári
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Regina Raffay
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Dániel Sztankovics
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Dorottya Moldvai
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Enikő Vetlényi
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Ildikó Krencz
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - András Rókusz
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Krisztina Sipos
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Tamás Visnovitz
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary;
- Department of Plant Physiology and Molecular Plant Biology, ELTE Eötvös Loránd University, Pázmány Péter Sétány 1/c, 1117 Budapest, Hungary
| | - Judit Pápay
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
| | - Anna Sebestyén
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary; (T.D.); (G.P.); (R.R.); (D.S.); (D.M.); (E.V.); (I.K.); (A.R.); (K.S.); (J.P.)
- Correspondence: or
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15
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Wang Y, Li Y, Sheng Z, Deng W, Yuan H, Wang S, Liu Y. Advances of Patient-Derived Organoids in Personalized Radiotherapy. Front Oncol 2022; 12:888416. [PMID: 35574360 PMCID: PMC9102799 DOI: 10.3389/fonc.2022.888416] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/28/2022] [Indexed: 11/16/2022] Open
Abstract
Patient-derived organoids (PDO), based on the advanced three-dimensional (3D) culture technology, can provide more relevant physiological and pathological cancer models, which is especially beneficial for developing and optimizing cancer therapeutic strategies. Radiotherapy (RT) is a cornerstone of curative and palliative cancer treatment, which can be performed alone or integrated with surgery, chemotherapy, immunotherapy, or targeted therapy in clinical care. Among all cancer therapies, RT has great local control, safety and effectiveness, and is also cost-effective per life-year gained for patients. It has been reported that combing RT with chemotherapy or immunotherapy or radiosensitizer drugs may enhance treatment efficacy at faster rates and lower cost. However, very few FDA-approved combinations of RT with drugs or radiosensitizers exist due to the lack of accurate and relevant preclinical models. Meanwhile, radiation dose escalation may increase treatment efficacy and induce more toxicity of normal tissue as well, which has been studied by conducting various clinical trials, very expensive and time-consuming, often burdensome on patients and sometimes with controversial results. The surged PDO technology may help with the preclinical test of RT combination and radiation dose escalation to promote precision radiation oncology, where PDO can recapitulate individual patient’ tumor heterogeneity, retain characteristics of the original tumor, and predict treatment response. This review aims to introduce recent advances in the PDO technology and personalized radiotherapy, highlight the strengths and weaknesses of the PDO cancer models, and finally examine the existing RT-related PDO trials or applications to harness personalized and precision radiotherapy.
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Affiliation(s)
- Yuenan Wang
- Department of Radiation Oncology, Peking University Shenzhen Hospital, Shenzhen, China
- *Correspondence: Yuenan Wang, ; Yajie Liu, ; Shubin Wang,
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zonghai Sheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Weiwei Deng
- Department of Mechanical and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Hongyan Yuan
- Department of Mechanical and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Shubin Wang
- Department of Medical Oncology, Peking University Shenzhen Hospital, Shenzhen, China
- *Correspondence: Yuenan Wang, ; Yajie Liu, ; Shubin Wang,
| | - Yajie Liu
- Department of Radiation Oncology, Peking University Shenzhen Hospital, Shenzhen, China
- *Correspondence: Yuenan Wang, ; Yajie Liu, ; Shubin Wang,
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16
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Advancements, Challenges, and Future Directions in Tackling Glioblastoma Resistance to Small Kinase Inhibitors. Cancers (Basel) 2022; 14:cancers14030600. [PMID: 35158868 PMCID: PMC8833415 DOI: 10.3390/cancers14030600] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Drug resistance is a major issue in brain tumor therapy. Despite novel promising therapeutic approaches, glioblastoma (GBM) remains refractory in showing beneficial responses to anticancer agents, as demonstrated by the failure in clinical trials of small kinase inhibitors. One of the reasons may lie in the development of different types of drug resistance mechanisms derived from the intrinsic heterogeneous nature of GBM. Obtaining insights into these mechanisms could improve the management of the clinical intervention and monitoring. Such insights could be achieved with the improvement of preclinical in vitro models for studying drug resistance. Abstract Despite clinical intervention, glioblastoma (GBM) remains the deadliest brain tumor in adults. Its incurability is partly related to the establishment of drug resistance, both to standard and novel treatments. In fact, even though small kinase inhibitors have changed the standard clinical practice for several solid cancers, in GBM, they did not fulfill this promise. Drug resistance is thought to arise from the heterogeneity of GBM, which leads the development of several different mechanisms. A better understanding of the evolution and characteristics of drug resistance is of utmost importance to improve the current clinical practice. Therefore, the development of clinically relevant preclinical in vitro models which allow careful dissection of these processes is crucial to gain insights that can be translated to improved therapeutic approaches. In this review, we first discuss the heterogeneity of GBM, which is reflected in the development of several resistance mechanisms. In particular, we address the potential role of drug resistance mechanisms in the failure of small kinase inhibitors in clinical trials. Finally, we discuss strategies to overcome therapy resistance, particularly focusing on the importance of developing in vitro models, and the possible approaches that could be applied to the clinic to manage drug resistance.
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17
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Akol I, Gather F, Vogel T. Paving Therapeutic Avenues for FOXG1 Syndrome: Untangling Genotypes and Phenotypes from a Molecular Perspective. Int J Mol Sci 2022; 23:ijms23020954. [PMID: 35055139 PMCID: PMC8780739 DOI: 10.3390/ijms23020954] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/23/2021] [Accepted: 01/13/2022] [Indexed: 02/01/2023] Open
Abstract
Development of the central nervous system (CNS) depends on accurate spatiotemporal control of signaling pathways and transcriptional programs. Forkhead Box G1 (FOXG1) is one of the master regulators that play fundamental roles in forebrain development; from the timing of neurogenesis, to the patterning of the cerebral cortex. Mutations in the FOXG1 gene cause a rare neurodevelopmental disorder called FOXG1 syndrome, also known as congenital form of Rett syndrome. Patients presenting with FOXG1 syndrome manifest a spectrum of phenotypes, ranging from severe cognitive dysfunction and microcephaly to social withdrawal and communication deficits, with varying severities. To develop and improve therapeutic interventions, there has been considerable progress towards unravelling the multi-faceted functions of FOXG1 in the neurodevelopment and pathogenesis of FOXG1 syndrome. Moreover, recent advances in genome editing and stem cell technologies, as well as the increased yield of information from high throughput omics, have opened promising and important new avenues in FOXG1 research. In this review, we provide a summary of the clinical features and emerging molecular mechanisms underlying FOXG1 syndrome, and explore disease-modelling approaches in animals and human-based systems, to highlight the prospects of research and possible clinical interventions.
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Affiliation(s)
- Ipek Akol
- Department of Molecular Embryology, Institute for Anatomy and Cell Biology, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany; (I.A.); (F.G.)
- Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
- Center for Basics in NeuroModulation (NeuroModul Basics), Medical Faculty, Albert-Ludwigs-University Freiburg, 79104 Freiburg, Germany
| | - Fabian Gather
- Department of Molecular Embryology, Institute for Anatomy and Cell Biology, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany; (I.A.); (F.G.)
| | - Tanja Vogel
- Department of Molecular Embryology, Institute for Anatomy and Cell Biology, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany; (I.A.); (F.G.)
- Center for Basics in NeuroModulation (NeuroModul Basics), Medical Faculty, Albert-Ludwigs-University Freiburg, 79104 Freiburg, Germany
- Correspondence:
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18
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Microglia-like Cells Promote Neuronal Functions in Cerebral Organoids. Cells 2021; 11:cells11010124. [PMID: 35011686 PMCID: PMC8750120 DOI: 10.3390/cells11010124] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/22/2021] [Accepted: 12/28/2021] [Indexed: 12/17/2022] Open
Abstract
Human cerebral organoids, derived from induced pluripotent stem cells, offer a unique in vitro research window to the development of the cerebral cortex. However, a key player in the developing brain, the microglia, do not natively emerge in cerebral organoids. Here we show that erythromyeloid progenitors (EMPs), differentiated from induced pluripotent stem cells, migrate to cerebral organoids, and mature into microglia-like cells and interact with synaptic material. Patch-clamp electrophysiological recordings show that the microglia-like population supported the emergence of more mature and diversified neuronal phenotypes displaying repetitive firing of action potentials, low-threshold spikes and synaptic activity, while multielectrode array recordings revealed spontaneous bursting activity and increased power of gamma-band oscillations upon pharmacological challenge with NMDA. To conclude, microglia-like cells within the organoids promote neuronal and network maturation and recapitulate some aspects of microglia-neuron co-development in vivo, indicating that cerebral organoids could be a useful biorealistic human in vitro platform for studying microglia-neuron interactions.
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19
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Zhou Z, Cong L, Cong X. Patient-Derived Organoids in Precision Medicine: Drug Screening, Organoid-on-a-Chip and Living Organoid Biobank. Front Oncol 2021; 11:762184. [PMID: 35036354 PMCID: PMC8755639 DOI: 10.3389/fonc.2021.762184] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 12/13/2021] [Indexed: 12/12/2022] Open
Abstract
Organoids are in vitro self-assembling, organ-like, three-dimensional cellular structures that stably retain key characteristics of the respective organs. Organoids can be generated from healthy or pathological tissues derived from patients. Cancer organoid culture platforms have several advantages, including conservation of the cellular composition that captures the heterogeneity and pharmacotypic signatures of the parental tumor. This platform has provided new opportunities to fill the gap between cancer research and clinical outcomes. Clinical trials have been performed using patient-derived organoids (PDO) as a tool for personalized medical decisions to predict patients' responses to therapeutic regimens and potentially improve treatment outcomes. Living organoid biobanks encompassing several cancer types have been established, providing a representative collection of well-characterized models that will facilitate drug development. In this review, we highlight recent developments in the generation of organoid cultures and PDO biobanks, in preclinical drug discovery, and methods to design a functional organoid-on-a-chip combined with microfluidic. In addition, we discuss the advantages as well as limitations of human organoids in patient-specific therapy and highlight possible future directions.
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Affiliation(s)
- Zilong Zhou
- Biobank, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Lele Cong
- Department of Dermatology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Xianling Cong
- Department of Dermatology, China-Japan Union Hospital of Jilin University, Changchun, China
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20
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Knock E, Julian LM. Building on a Solid Foundation: Adding Relevance and Reproducibility to Neurological Modeling Using Human Pluripotent Stem Cells. Front Cell Neurosci 2021; 15:767457. [PMID: 34867204 PMCID: PMC8637745 DOI: 10.3389/fncel.2021.767457] [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: 08/30/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022] Open
Abstract
The brain is our most complex and least understood organ. Animal models have long been the most versatile tools available to dissect brain form and function; however, the human brain is highly distinct from that of standard model organisms. In addition to existing models, access to human brain cells and tissues is essential to reach new frontiers in our understanding of the human brain and how to intervene therapeutically in the face of disease or injury. In this review, we discuss current and developing culture models of human neural tissue, outlining advantages over animal models and key challenges that remain to be overcome. Our principal focus is on advances in engineering neural cells and tissue constructs from human pluripotent stem cells (PSCs), though primary human cell and slice culture are also discussed. By highlighting studies that combine animal models and human neural cell culture techniques, we endeavor to demonstrate that clever use of these orthogonal model systems produces more reproducible, physiological, and clinically relevant data than either approach alone. We provide examples across a range of topics in neuroscience research including brain development, injury, and cancer, neurodegenerative diseases, and psychiatric conditions. Finally, as testing of PSC-derived neurons for cell replacement therapy progresses, we touch on the advancements that are needed to make this a clinical mainstay.
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Affiliation(s)
- Erin Knock
- Research and Development, STEMCELL Technologies Inc., Vancouver, BC, Canada.,Department of Biological Sciences, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
| | - Lisa M Julian
- Department of Biological Sciences, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
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21
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Darrigues E, Zhao EH, De Loose A, Lee MP, Borrelli MJ, Eoff RL, Galileo DS, Penthala NR, Crooks PA, Rodriguez A. Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion. Int J Mol Sci 2021; 22:ijms221910720. [PMID: 34639060 PMCID: PMC8509225 DOI: 10.3390/ijms221910720] [Citation(s) in RCA: 4] [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: 08/06/2021] [Revised: 09/25/2021] [Accepted: 09/26/2021] [Indexed: 12/11/2022] Open
Abstract
Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies.
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Affiliation(s)
- Emilie Darrigues
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Edward H. Zhao
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Annick De Loose
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Madison P. Lee
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
| | - Michael J. Borrelli
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Robert L. Eoff
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Deni S. Galileo
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA;
| | - Narsimha R. Penthala
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (N.R.P.); (P.A.C.)
| | - Peter A. Crooks
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (N.R.P.); (P.A.C.)
| | - Analiz Rodriguez
- Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (E.D.); (E.H.Z.); (A.D.L.); (M.P.L.)
- Correspondence:
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22
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Vessières A, Quissac E, Lemaire N, Alentorn A, Domeracka P, Pigeon P, Sanson M, Idbaih A, Verreault M. Heterogeneity of Response to Iron-Based Metallodrugs in Glioblastoma Is Associated with Differences in Chemical Structures and Driven by FAS Expression Dynamics and Transcriptomic Subtypes. Int J Mol Sci 2021; 22:ijms221910404. [PMID: 34638742 PMCID: PMC8508975 DOI: 10.3390/ijms221910404] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/20/2021] [Accepted: 09/23/2021] [Indexed: 11/18/2022] Open
Abstract
Glioblastoma (GBM) is the most frequent and deadliest primary brain cancer in adults, justifying the search for new treatments. Some members of the iron-based ferrocifen family have demonstrated a high cytotoxic effect on various cancer cell lines via innovative mechanisms of action. Here, we evaluated the antiproliferative activity by wst-1 assay of six ferrocifens in 15 molecularly diverse GBM patient-derived cell lines (PDCLs). In five out of six compounds, the half maximal inhibitory concentration (IC50) values varied significantly (10 nM < IC50 < 29.8 µM) while the remaining one (the tamoxifen-like complex) was highly cytotoxic against all PDCLs (mean IC50 = 1.28 µM). The pattern of response was comparable for the four ferrocifens bearing at least one phenol group and differed widely from those of the tamoxifen-like complex and the complex with no phenol group. An RNA sequencing differential analysis showed that response to the diphenol ferrocifen relied on the activation of the Death Receptor signaling pathway and the modulation of FAS expression. Response to this complex was greater in PDCLs from the Mesenchymal or Proneural transcriptomic subtypes compared to the ones from the Classical subtype. These results provide new information on the mechanisms of action of ferrocifens and highlight a broader diversity of behavior than previously suspected among members of this family. They also support the case for a molecular-based personalized approach to future use of ferrocifens in the treatment of GBM.
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Affiliation(s)
- Anne Vessières
- Institut Parisien de Chimie Moléculaire, Sorbonne Université, CNRS, UMR CNRS 8232, 4 Place Jussieu, F-75005 Paris, France;
- Correspondence: (A.V.); (M.V.)
| | - Emie Quissac
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France; (E.Q.); (N.L.); (P.D.)
| | - Nolwenn Lemaire
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France; (E.Q.); (N.L.); (P.D.)
| | - Agusti Alentorn
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences, Service de Neurologie 2-Mazarin, F-75013 Paris, France; (A.A.); (M.S.); (A.I.)
| | - Patrycja Domeracka
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France; (E.Q.); (N.L.); (P.D.)
| | - Pascal Pigeon
- Institut Parisien de Chimie Moléculaire, Sorbonne Université, CNRS, UMR CNRS 8232, 4 Place Jussieu, F-75005 Paris, France;
- Chimie ParisTech-PSL, 11 Rue P. et M. Curie, F-75005 Paris, France
| | - Marc Sanson
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences, Service de Neurologie 2-Mazarin, F-75013 Paris, France; (A.A.); (M.S.); (A.I.)
| | - Ahmed Idbaih
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences, Service de Neurologie 2-Mazarin, F-75013 Paris, France; (A.A.); (M.S.); (A.I.)
| | - Maïté Verreault
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France; (E.Q.); (N.L.); (P.D.)
- Correspondence: (A.V.); (M.V.)
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23
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Ma J, Chen CC, Li M. Macrophages/Microglia in the Glioblastoma Tumor Microenvironment. Int J Mol Sci 2021; 22:ijms22115775. [PMID: 34071306 PMCID: PMC8198046 DOI: 10.3390/ijms22115775] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/23/2022] Open
Abstract
The complex interaction between glioblastoma and its microenvironment has been recognized for decades. Among various immune profiles, the major population is tumor-associated macrophage, with microglia as its localized homolog. The present definition of such myeloid cells is based on a series of cell markers. These good sentinel cells experience significant changes, facilitating glioblastoma development and protecting it from therapeutic treatments. Huge, complicated mechanisms are involved during the overall processes. A lot of effort has been dedicated to crack the mysterious codes in macrophage/microglia recruiting, activating, reprogramming, and functioning. We have made our path. With more and more key factors identified, a lot of new therapeutic methods could be explored to break the ominous loop, to enhance tumor sensitivity to treatments, and to improve the prognosis of glioblastoma patients. However, it might be a synergistic system rather than a series of clear, stepwise events. There are still significant challenges before the light of truth can shine onto the field. Here, we summarize recent advances in this field, reviewing the path we have been on and where we are now.
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Affiliation(s)
| | | | - Ming Li
- Correspondence: (C.C.C.); (M.L.)
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