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Vitacolonna M, Bruch R, Agaçi A, Nürnberg E, Cesetti T, Keller F, Padovani F, Sauer S, Schmoller KM, Reischl M, Hafner M, Rudolf R. A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types. Front Bioeng Biotechnol 2024; 12:1422235. [PMID: 39157442 PMCID: PMC11327450 DOI: 10.3389/fbioe.2024.1422235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/19/2024] [Indexed: 08/20/2024] Open
Abstract
Spheroids have become principal three-dimensional models to study cancer, developmental processes, and drug efficacy. Single-cell analysis techniques have emerged as ideal tools to gauge the complexity of cellular responses in these models. However, the single-cell quantitative assessment based on 3D-microscopic data of the subcellular distribution of fluorescence markers, such as the nuclear/cytoplasm ratio of transcription factors, has largely remained elusive. For spheroid generation, ultra-low attachment plates are noteworthy due to their simplicity, compatibility with automation, and experimental and commercial accessibility. However, it is unknown whether and to what degree the plate type impacts spheroid formation and biology. This study developed a novel AI-based pipeline for the analysis of 3D-confocal data of optically cleared large spheroids at the wholemount, single-cell, and sub-cellular levels. To identify relevant samples for the pipeline, automated brightfield microscopy was employed to systematically compare the size and eccentricity of spheroids formed in six different plate types using four distinct human cell lines. This showed that all plate types exhibited similar spheroid-forming capabilities and the gross patterns of growth or shrinkage during 4 days after seeding were comparable. Yet, size and eccentricity varied systematically among specific cell lines and plate types. Based on this prescreen, spheroids of HaCaT keratinocytes and HT-29 cancer cells were further assessed. In HaCaT spheroids, the in-depth analysis revealed a correlation between spheroid size, cell proliferation, and the nuclear/cytoplasm ratio of the transcriptional coactivator, YAP1, as well as an inverse correlation with respect to cell differentiation. These findings, yielded with a spheroid model and at a single-cell level, corroborate earlier concepts of the role of YAP1 in cell proliferation and differentiation of keratinocytes in human skin. Further, the results show that the plate type may influence the outcome of experimental campaigns and that it is advisable to scan different plate types for the optimal configuration during a specific investigation.
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Affiliation(s)
- Mario Vitacolonna
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Roman Bruch
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Ane Agaçi
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Elina Nürnberg
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
- Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Tiziana Cesetti
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Florian Keller
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Francesco Padovani
- Institute of Functional Epigenetics (IFE), Molecular Targets and Therapeutics Center (MTTC), Helmholtz Center München, München-Neuherberg, Germany
| | - Simeon Sauer
- Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Kurt M. Schmoller
- Institute of Functional Epigenetics (IFE), Molecular Targets and Therapeutics Center (MTTC), Helmholtz Center München, München-Neuherberg, Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Mathias Hafner
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Medical Technology, Medical Faculty Mannheim of Heidelberg University and Mannheim University of Applied Sciences, Mannheim, Germany
| | - Rüdiger Rudolf
- CeMOS, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany
- Institute of Medical Technology, Medical Faculty Mannheim of Heidelberg University and Mannheim University of Applied Sciences, Mannheim, Germany
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Wilby AJ, Cabral S, Zoghi N, Howell SJ, Farnie G, Harrison H. A novel preclinical model of the normal human breast. J Mammary Gland Biol Neoplasia 2024; 29:9. [PMID: 38695983 PMCID: PMC11065935 DOI: 10.1007/s10911-024-09562-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 04/01/2024] [Indexed: 05/05/2024] Open
Abstract
Improved screening and treatment have decreased breast cancer mortality, although incidence continues to rise. Women at increased risk of breast cancer can be offered risk reducing treatments, such as tamoxifen, but this has not been shown to reduce breast cancer mortality. New, more efficacious, risk-reducing agents are needed. The identification of novel candidates for prevention is hampered by a lack of good preclinical models. Current patient derived in vitro and in vivo models cannot fully recapitulate the complexities of the human tissue, lacking human extracellular matrix, stroma, and immune cells, all of which are known to influence therapy response. Here we describe a normal breast explant model utilising a tuneable hydrogel which maintains epithelial proliferation, hormone receptor expression, and residency of T cells and macrophages over 7 days. Unlike other organotypic tissue cultures which are often limited by hyper-proliferation, loss of hormone signalling, and short treatment windows (< 48h), our model shows that tissue remains viable over 7 days with none of these early changes. This offers a powerful and unique opportunity to model the normal breast and study changes in response to various risk factors, such as breast density and hormone exposure. Further validation of the model, using samples from patients undergoing preventive therapies, will hopefully confirm this to be a valuable tool, allowing us to test novel agents for breast cancer risk reduction preclinically.
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Affiliation(s)
- Anthony J Wilby
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
| | - Sara Cabral
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Henry Royce Institute, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - Nastaran Zoghi
- Department of Materials & Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, United Kingdom
| | - Sacha J Howell
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, 29 Grafton St, Manchester, M13 9WU, United Kingdom
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, United Kingdom
| | - Gillian Farnie
- Cancer Research Horizons, The Francis Crick Institute, 1 Midland Road, Manchester, NW1 1AT, United Kingdom
| | - Hannah Harrison
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom.
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom.
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Bhattacharya A, Alam K, Roy NS, Kaur K, Kaity S, Ravichandiran V, Roy S. Exploring the interaction between extracellular matrix components in a 3D organoid disease model to replicate the pathophysiology of breast cancer. J Exp Clin Cancer Res 2023; 42:343. [PMID: 38102637 PMCID: PMC10724947 DOI: 10.1186/s13046-023-02926-4] [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: 10/20/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
In vitro models are necessary to study the pathophysiology of the disease and the development of effective, tailored treatment methods owing to the complexity and heterogeneity of breast cancer and the large population affected by it. The cellular connections and tumor microenvironments observed in vivo are often not recapitulated in conventional two-dimensional (2D) cell cultures. Therefore, developing 3D in vitro models that mimic the complex architecture and physiological circumstances of breast tumors is crucial for advancing our understanding of the illness. A 3D scaffold-free in vitro disease model mimics breast cancer pathophysiology by allowing cells to self-assemble/pattern into 3D structures, in contrast with other 3D models that rely on artificial scaffolds. It is possible that this model, whether applied to breast tumors using patient-derived primary cells (fibroblasts, endothelial cells, and cancer cells), can accurately replicate the observed heterogeneity. The complicated interactions between different cell types are modelled by integrating critical components of the tumor microenvironment, such as the extracellular matrix, vascular endothelial cells, and tumor growth factors. Tissue interactions, immune cell infiltration, and the effects of the milieu on drug resistance can be studied using this scaffold-free 3D model. The scaffold-free 3D in vitro disease model for mimicking tumor pathophysiology in breast cancer is a useful tool for studying the molecular basis of the disease, identifying new therapeutic targets, and evaluating treatment modalities. It provides a more physiologically appropriate high-throughput platform for screening large compound library in a 96-384 well format. We critically discussed the rapid development of personalized treatment strategies and accelerated drug screening platforms to close the gap between traditional 2D cell culture and in vivo investigations.
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Affiliation(s)
- Anamitra Bhattacharya
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India
| | - Kamare Alam
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India
| | - Nakka Sharmila Roy
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India
| | - Kulwinder Kaur
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine a Health Sciences, Dublin, Ireland
- Tissue Engineering Research Group, Department of Anatomy & Regenerative Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Santanu Kaity
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India
| | - Velayutham Ravichandiran
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India
| | - Subhadeep Roy
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Kolkata, West Bengal, 700054, India.
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Ye L, Zhong F, Sun S, Ou X, Yuan J, Zhu J, Zeng Z. Tamoxifen induces ferroptosis in MCF-7 organoid. J Cancer Res Ther 2023; 19:1627-1635. [PMID: 38156931 DOI: 10.4103/jcrt.jcrt_608_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/05/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Breast cancer is the most common female malignant tumor type globally. The occurrence and development of breast cancer involve ferroptosis, which is closely related to its treatment. The development of breast cancer organoids facilitates the analysis of breast cancer molecular background and tumor biological behavior, including clinical pathological characteristics, drug response, or drug resistance relationship, and promotes the advancement of precision treatment for breast cancer. The three-dimensional (3D) cell culture of breast cancer MCF-7 organoid is more similar to the in vivo environment and thus obtains more realistic results than 2D cell culture. Our study examined the new mechanism of tamoxifen in treating breast cancer through breast cancer MCF-7 organoids. METHODS We used 3D cells to culture breast cancer MCF-7 organoid, as well as tamoxifen-treated MCF-7 and tamoxifen-resistant MCF-7 (MCF-7 TAMR) cells. We used transcriptome sequencing. We detected GPX4 and SLC7A11 protein levels using Western blotting and the content of ATP, glutathione, and ferrous ions using the Cell Counting Lite 3D Kit. We assessed cell viability using the Cell Counting Kit-8 (CCK-8) assay. RESULTS Tamoxifen significantly inhibited the growth of MCF-7 organoids and significantly induced ferroptosis in MCF-7 organoids. The ferroptosis inhibitor reversed the significant tamoxifen-induced MCF-7 organoid inhibition activity. Moreover, the ferroptosis activator enhanced the tamoxifen-induced MCF-7 TAMR cell activity inhibition. CONCLUSION Our study revealed that ferroptosis plays an important role in tamoxifen-induced MCF-7 organoid cell death and provides a new research idea for precise treatment of breast cancer through an organoid model.
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Affiliation(s)
- Lei Ye
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
| | - Fei Zhong
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
| | - Shishen Sun
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
| | - Xiaowei Ou
- Department of General Surgery, Foshan Fosun Chancheng Hospital, Foshan, China
| | - Jie Yuan
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
- Department of General Surgery, Foshan Fosun Chancheng Hospital, Foshan, China
| | - Jintao Zhu
- Department of Breast Surgery, Foshan Fosun Chancheng Hospital, Foshan, China
| | - Zhiqiang Zeng
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
- Department of Breast Surgery, Foshan Fosun Chancheng Hospital, Foshan, China
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Daneshdoust D, Luo M, Li Z, Mo X, Alothman S, Kallakury B, Schlegel R, Zhang J, Guo D, Furth PA, Liu X, Li J. Unlocking Translational Potential: Conditionally Reprogrammed Cells in Advancing Breast Cancer Research. Cells 2023; 12:2388. [PMID: 37830602 PMCID: PMC10572051 DOI: 10.3390/cells12192388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/07/2023] [Accepted: 09/19/2023] [Indexed: 10/14/2023] Open
Abstract
Preclinical in vitro models play an important role in studying cancer cell biology and facilitating translational research, especially in the identification of drug targets and drug discovery studies. This is particularly relevant in breast cancer, where the global burden of disease is quite high based on prevalence and a relatively high rate of lethality. Predictive tools to select patients who will be responsive to invasive or morbid therapies (radiotherapy, chemotherapy, immunotherapy, and/or surgery) are relatively lacking. To be clinically relevant, a model must accurately replicate the biology and cellular heterogeneity of the primary tumor. Addressing these requirements and overcoming the limitations of most existing cancer cell lines, which are typically derived from a single clone, we have recently developed conditional reprogramming (CR) technology. The CR technology refers to a co-culture system of primary human normal or tumor cells with irradiated murine fibroblasts in the presence of a Rho-associated kinase inhibitor to allow the primary cells to acquire stem cell properties and the ability to proliferate indefinitely in vitro without any exogenous gene or viral transfection. This innovative approach fulfills many of these needs and offers an alternative that surpasses the deficiencies associated with traditional cancer cell lines. These CR cells (CRCs) can be reprogrammed to maintain a highly proliferative state and reproduce the genomic and histological characteristics of the parental tissue. Therefore, CR technology may be a clinically relevant model to test and predict drug sensitivity, conduct gene profile analysis and xenograft research, and undertake personalized medicine. This review discusses studies that have applied CR technology to conduct breast cancer research.
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Affiliation(s)
- Danyal Daneshdoust
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
| | - Mingjue Luo
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
| | - Zaibo Li
- Departments of Pathology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA
| | - Xiaokui Mo
- Department of Biostatics and Bioinformatics, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA
| | - Sahar Alothman
- Departments of Oncology and Medicine, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Bhaskar Kallakury
- Departments of Pathology, Lombardi Comprehensive Cancer Center, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
| | - Richard Schlegel
- Departments of Pathology, Lombardi Comprehensive Cancer Center, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
| | - Junran Zhang
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
- Department of Radiation Oncology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA
| | - Deliang Guo
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
- Department of Radiation Oncology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA
| | - Priscilla A. Furth
- Departments of Oncology and Medicine, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Xuefeng Liu
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
- Departments of Pathology, Urology, and Radiation Oncology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA
| | - Jenny Li
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA
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Lacouture A, Breton Y, Weidmann C, Goulet SM, Germain L, Pelletier M, Audet-Walsh É. Estrogens and endocrine-disrupting chemicals differentially impact the bioenergetic fluxes of mammary epithelial cells in two- and three-dimensional models. ENVIRONMENT INTERNATIONAL 2023; 179:108132. [PMID: 37657410 DOI: 10.1016/j.envint.2023.108132] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 09/03/2023]
Abstract
Due to its sensitivity to hormonal signaling, the mammary gland is often referred to as a sentinel organ for the study of endocrine-disrupting chemicals (EDCs), environmental pollutants that can interfere with the estrogen signaling pathway and induce mammary developmental defects. If and how EDCs impact mammary epithelial cell metabolism has not yet been documented. Herein, to study how estrogens and EDCs modulate mammary gland metabolism, we performed bioenergetic flux analyses using mouse mammary epithelial organoids compared to cells grown in monolayer culture. Several EDCs were tested, including bisphenol A (BPA), its close derivative BPS, a new BPA replacement copolyester called TritanTM, and the herbicide glyphosate. We report that estrogens reprogrammed mammary epithelial cell metabolism differently when grown in two- and three-dimensional models. Specific EDCs were also demonstrated to alter bioenergetic fluxes, thus identifying a new potential adverse effect of these molecules. Notably, organoids were more sensitive to low EDC concentrations, highlighting them as a key model for screening the impact of various environmental pollutants. Mechanistically, transcriptomic analyses revealed that EDCs interfered with the regulation of estrogen target genes and the expression of metabolic genes in organoids. Furthermore, co-treatment with the anti-estrogen fulvestrant blocked these metabolic impacts of EDCs, suggesting that, at least partially, they act through modulation of the estrogen receptor activity. Finally, we demonstrate that mammary organoids can be used for long-term studies on EDC exposure to study alterations in organogenesis/morphogenesis and that past pregnancies can modulate the sensitivity of mammary epithelial organoids to specific EDCs. Overall, this study demonstrates that estrogens and EDCs modulate mammary epithelial cell metabolism in monolayer and organoid cultures. A better understanding of the metabolic impacts of EDCs will allow a better appreciation of their adverse effects on mammary gland development and function.
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Affiliation(s)
- Aurélie Lacouture
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada; Intersectoral Centre for Endocrine Disruptor Analysis (CIAPE-ICEDA), Québec City, Canada
| | - Yann Breton
- Infectious and Immune Diseases Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; ARThrite Research Center, Université Laval, Québec City, Canada
| | - Cindy Weidmann
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada
| | - Sarah-Maude Goulet
- Infectious and Immune Diseases Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; ARThrite Research Center, Université Laval, Québec City, Canada
| | - Lucas Germain
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada
| | - Martin Pelletier
- Intersectoral Centre for Endocrine Disruptor Analysis (CIAPE-ICEDA), Québec City, Canada; Infectious and Immune Diseases Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; ARThrite Research Center, Université Laval, Québec City, Canada; Department of Microbiology-Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Québec City, Canada.
| | - Étienne Audet-Walsh
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada; Intersectoral Centre for Endocrine Disruptor Analysis (CIAPE-ICEDA), Québec City, Canada.
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Hany D, Zoetemelk M, Bhattacharya K, Nowak-Sliwinska P, Picard D. Network-informed discovery of multidrug combinations for ERα+/HER2-/PI3Kα-mutant breast cancer. Cell Mol Life Sci 2023; 80:80. [PMID: 36869202 PMCID: PMC10032341 DOI: 10.1007/s00018-023-04730-x] [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: 10/05/2022] [Revised: 01/20/2023] [Accepted: 02/19/2023] [Indexed: 03/05/2023]
Abstract
Breast cancer is a persistent threat to women worldwide. A large proportion of breast cancers are dependent on the estrogen receptor α (ERα) for tumor progression. Therefore, targeting ERα with antagonists, such as tamoxifen, or estrogen deprivation by aromatase inhibitors remain standard therapies for ERα + breast cancer. The clinical benefits of monotherapy are often counterbalanced by off-target toxicity and development of resistance. Combinations of more than two drugs might be of great therapeutic value to prevent resistance, and to reduce doses, and hence, decrease toxicity. We mined data from the literature and public repositories to construct a network of potential drug targets for synergistic multidrug combinations. With 9 drugs, we performed a phenotypic combinatorial screen with ERα + breast cancer cell lines. We identified two optimized low-dose combinations of 3 and 4 drugs of high therapeutic relevance to the frequent ERα + /HER2-/PI3Kα-mutant subtype of breast cancer. The 3-drug combination targets ERα in combination with PI3Kα and cyclin-dependent kinase inhibitor 1 (p21). In addition, the 4-drug combination contains an inhibitor for poly (ADP-ribose) polymerase 1 (PARP1), which showed benefits in long-term treatments. Moreover, we validated the efficacy of the combinations in tamoxifen-resistant cell lines, patient-derived organoids, and xenograft experiments. Thus, we propose multidrug combinations that have the potential to overcome the standard issues of current monotherapies.
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Affiliation(s)
- Dina Hany
- Département de Biologie Moléculaire et Cellulaire, Université de Genève, Sciences III, Quai Ernest-Ansermet 30, 1211, Genève 4, Switzerland
- On leave from: Department of Pharmacology and Therapeutics, Faculty of Pharmacy, Pharos University in Alexandria, Alexandria, 21311, Egypt
| | - Marloes Zoetemelk
- Groupe de Pharmacologie Moléculaire, Section des Sciences Pharmaceutiques, Université de Genève, Genève, Switzerland
- Institut des Sciences Pharmaceutiques de Suisse Occidentale, Université de Genève, Genève, Switzerland
- Centre de Recherche Translationnelle en Onco-hématologie, Université de Genève, Genève, Switzerland
| | - Kaushik Bhattacharya
- Département de Biologie Moléculaire et Cellulaire, Université de Genève, Sciences III, Quai Ernest-Ansermet 30, 1211, Genève 4, Switzerland
| | - Patrycja Nowak-Sliwinska
- Groupe de Pharmacologie Moléculaire, Section des Sciences Pharmaceutiques, Université de Genève, Genève, Switzerland
- Institut des Sciences Pharmaceutiques de Suisse Occidentale, Université de Genève, Genève, Switzerland
- Centre de Recherche Translationnelle en Onco-hématologie, Université de Genève, Genève, Switzerland
| | - Didier Picard
- Département de Biologie Moléculaire et Cellulaire, Université de Genève, Sciences III, Quai Ernest-Ansermet 30, 1211, Genève 4, Switzerland.
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The Role of Patient-Derived Organoids in Triple-Negative Breast Cancer Drug Screening. Biomedicines 2023; 11:biomedicines11030773. [PMID: 36979752 PMCID: PMC10045189 DOI: 10.3390/biomedicines11030773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is one of the most aggressive breast cancer subtypes, with a grave prognosis and few effective treatment options. Organoids represent revolutionary three-dimensional cell culture models, derived from stem or differentiated cells and preserving the capacity to differentiate into the cell types of their tissue of origin. The current review aims at studying the potential of patient-derived TNBC organoids for drug sensitivity testing as well as highlighting the advantages of the organoid technology in terms of drug screening. In order to identify relevant studies, a literature review was conducted using the MEDLINE and LIVIVO databases. The search terms “organoid” and “triple-negative breast cancer” were employed, and we were able to identify 25 studies published between 2018 and 2022. The current manuscript represents the first comprehensive review of the literature focusing on the use of patient-derived organoids for drug sensitivity testing in TNBC. Patient-derived organoids are excellent in vitro study models capable of promoting personalized TNBC therapy by reflecting the treatment responses of the corresponding patients and exhibiting high predictive value in the context of patient survival evaluation.
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Patrício D, Santiago J, Mano JF, Fardilha M. Organoids of the male reproductive system: Challenges, opportunities, and their potential use in fertility research. WIREs Mech Dis 2023; 15:e1590. [PMID: 36442887 DOI: 10.1002/wsbm.1590] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 10/17/2022] [Accepted: 11/12/2022] [Indexed: 11/30/2022]
Abstract
Organoids are units of function of a given organ able to reproduce, in culture, a biological structure similar in architecture and function to its counterpart in vivo. Today, it is possible to develop an organoid from a fragment of tissue, a stem cell located in an adult organ, an embryonic stem cell, or an induced pluripotent stem cell. In the past decade, many organoids have been developed which mimic stomach, pancreas, liver and brain tissues, optic cups, among many others. Additionally, different male reproductive system organs have already been developed as organoids, including the prostate and testis. These 3D cultures may be of great importance for urological cancer research and have the potential to be used in fertility research for the study of spermatozoa production and maturation, germ cells-somatic cells interactions, and mechanisms of disease. They also provide an accurate preclinical pipeline for drug testing and discovery, as well as for the study of drug resistance. In this work, we revise the current knowledge on organoid technology and its use in healthcare and research, describe the male reproductive system organoids and other biomaterials already developed, and discuss their current application. Finally, we highlight the research gaps, challenges, and opportunities in the field and propose strategies to improve the use of organoids for the study of male infertility situations. This article is categorized under: Reproductive System Diseases > Stem Cells and Development Reproductive System Diseases > Biomedical Engineering.
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Affiliation(s)
- Daniela Patrício
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.,Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Joana Santiago
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - João F Mano
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Margarida Fardilha
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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10
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Raffo-Romero A, Aboulouard S, Bouchaert E, Rybicka A, Tierny D, Hajjaji N, Fournier I, Salzet M, Duhamel M. Establishment and characterization of canine mammary tumoroids for translational research. BMC Biol 2023; 21:23. [PMID: 36737789 PMCID: PMC9898911 DOI: 10.1186/s12915-023-01516-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Cancer heterogeneity is a main obstacle for the development of effective therapies, as its replication in in vitro preclinical models is challenging. Around 96% of developed drugs are estimated to fail from discovery to the clinical trial phase probably because of the unsuitability and unreliability of current preclinical models (Front Pharmacol 9:6, 2018; Nat Rev Cancer 8: 147-56, 2008) in replicating the overall biology of tumors, for instance the tumor microenvironment. Breast cancer is the most frequent cancer among women causing the greatest number of cancer-related deaths. Breast cancer can typically be modeled in vitro through the use of tumoroids; however, current approaches using mouse tumoroids fail to reproduce crucial aspect of human breast cancer, while access to human cells is limited and the focus of ethical concerns. New models of breast cancer, such as companion dogs, have emerged given the resemblance of developed spontaneous mammary tumors to human breast cancer in many clinical and molecular aspects; however, they have so far failed to replicate the tumor microenvironment. The present work aimed at developing a robust canine mammary tumor model in the form of tumoroids which recapitulate the tumor diversity and heterogeneity. RESULTS We conducted a complete characterization of canine mammary tumoroids through histologic, molecular, and proteomic analysis, demonstrating their strong similarity to the primary tumor. We demonstrated that these tumoroids can be used as a drug screening model. In fact, we showed that paclitaxel, a human chemotherapeutic, could kill canine tumoroids with the same efficacy as human tumoroids with 0.1 to 1 μM of drug needed to kill 50% of the cells. Due to easy tissue availability, canine tumoroids can be produced at larger scale and cryopreserved to constitute a biobank. We have demonstrated that cryopreserved tumoroids keep the same histologic and molecular features (ER, PR, and HER2 expression) as fresh tumoroids. Furthermore, two cryopreservation techniques were compared from a proteomic point of view which showed that tumoroids made from frozen material allowed to maintain the same molecular diversity as from freshly dissociated tumor. CONCLUSIONS These findings revealed that canine mammary tumoroids can be easily generated and may provide an adequate and more reliable preclinical model to investigate tumorigenesis mechanisms and develop new treatments for both veterinary and human medicine.
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Affiliation(s)
- Antonella Raffo-Romero
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France
| | - Soulaimane Aboulouard
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France
| | - Emmanuel Bouchaert
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France ,grid.487385.50000 0004 1789 0046OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Agata Rybicka
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France ,grid.487385.50000 0004 1789 0046OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Dominique Tierny
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France ,grid.487385.50000 0004 1789 0046OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Nawale Hajjaji
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France ,grid.452351.40000 0001 0131 6312Breast Cancer Unit, Oscar Lambret Center, Lille, France
| | - Isabelle Fournier
- grid.410463.40000 0004 0471 8845Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France ,grid.440891.00000 0001 1931 4817Institut Universitaire de France, Paris, France
| | - Michel Salzet
- Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France. .,Institut Universitaire de France, Paris, France.
| | - Marie Duhamel
- Université Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire Et Spectrométrie de Masse (PRISM), Lille, France.
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11
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Whitford MKM, McCaffrey L. Polarity in breast development and cancer. Curr Top Dev Biol 2023; 154:245-283. [PMID: 37100520 DOI: 10.1016/bs.ctdb.2023.02.009] [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: 04/28/2023]
Abstract
Mammary gland development and breast cancer progression are associated with extensive remodeling of epithelial tissue architecture. Apical-basal polarity is a key feature of epithelial cells that coordinates key elements of epithelial morphogenesis including cell organization, proliferation, survival, and migration. In this review we discuss advances in our understanding of how apical-basal polarity programs are used in breast development and cancer. We describe cell lines, organoids, and in vivo models commonly used for studying apical-basal polarity in breast development and disease and discuss advantages and limitations of each. We also provide examples of how core polarity proteins regulate branching morphogenesis and lactation during development. We describe alterations to core polarity genes in breast cancer and their associations with patient outcomes. The impact of up- or down-regulation of key polarity proteins in breast cancer initiation, growth, invasion, metastasis, and therapeutic resistance are discussed. We also introduce studies demonstrating that polarity programs are involved in regulating the stroma, either through epithelial-stroma crosstalk, or through signaling of polarity proteins in non-epithelial cell types. Overall, a key concept is that the function of individual polarity proteins is highly contextual, depending on developmental or cancer stage and cancer subtype.
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Affiliation(s)
- Mara K M Whitford
- Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada; Department of Biochemistry, McGill University, Montreal, Quebec, Canada
| | - Luke McCaffrey
- Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada; Department of Biochemistry, McGill University, Montreal, Quebec, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada.
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12
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Dalaka E, Vassilakos D, Stefos GC, Kalogianni AI, Palamidi I, Gelasakis AI, Politis I, Theodorou G. Utilization of 2D and 3D cell cultures for the modelling of intramammary infection in sheep. FRONTIERS IN ANIMAL SCIENCE 2022. [DOI: 10.3389/fanim.2022.1015982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Ovine mastitis is defined as the inflammation of the sheep udder, most commonly caused in response to intramammary infections. Based on the occurrence of clinical signs, mastitis is characterized as either clinical or subclinical (SCM). The impact of ovine SCM on the overall sustainability of dairy sheep farms has been substantially documented underpinning the significance of efficient diagnosis. Although SCM can be detected in cows, the performance and the validity of the methods used do not transfer in dairy sheep. This fact challenges the development of evidence-based ovine udder health management protocols and renders the detection and control of ovine mastitis rather problematic. Currently, cell culture-based models are being successfully used in biomedical studies and have also been effectively used in the case of bovine mastitis. The objective of the present study was to culture ovine primary mammary cells for the development of 2D and 3D cell culture-based models for the study of ovine mammary gland and to focus on the first stages of the intramammary infection by common mastitis-inducing pathogens. Cells were infected by E. coli and S. aureus mimicking the first stages of natural intramammary infections. The secreted proteins were subjected to mass-spectrometry resulting in the identification of a total of 79 distinct proteins. Among those, several had already been identified in healthy or mastitic milk, while others had not been previously detected for in the ovine mammary secretome. Our results suggest that the development of cell-based models for studying specific stages of intramammary infection has the potential to be beneficial for the udder health management in dairy sheep.
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13
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Azimian Zavareh V, Rafiee L, Sheikholeslam M, Shariati L, Vaseghi G, Savoji H, Haghjooy Javanmard S. Three-Dimensional in Vitro Models: A Promising Tool To Scale-Up Breast Cancer Research. ACS Biomater Sci Eng 2022; 8:4648-4672. [PMID: 36260561 DOI: 10.1021/acsbiomaterials.2c00277] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Common models used in breast cancer studies, including two-dimensional (2D) cultures and animal models, do not precisely model all aspects of breast tumors. These models do not well simulate the cell-cell and cell-stromal interactions required for normal tumor growth in the body and lake tumor like microenvironment. Three-dimensional (3D) cell culture models are novel approaches to studying breast cancer. They do not have the restrictions of these conventional models and are able to recapitulate the structural architecture, complexity, and specific function of breast tumors and provide similar in vivo responses to therapeutic regimens. These models can be a link between former traditional 2D culture and in vivo models and are necessary for further studies in cancer. This review attempts to summarize the most common 3D in vitro models used in breast cancer studies, including scaffold-free (spheroid and organoid), scaffold-based, and chip-based models, particularly focused on the basic and translational application of these 3D models in drug screening and the tumor microenvironment in breast cancer.
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Affiliation(s)
- Vajihe Azimian Zavareh
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Core Research Facilities (CRF), Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Laleh Rafiee
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Mohammadali Sheikholeslam
- Department of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Biosensor Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Laleh Shariati
- Department of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran.,Cancer Prevention Research Center, Omid Hospital, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Golnaz Vaseghi
- Isfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
| | - Houman Savoji
- Institute of Biomedical Engineering, Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.,Research Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC H3T 1C5, Canada.,Montreal TransMedTech Institute, Montreal, QC H3T 1J4, Canada
| | - Shaghayegh Haghjooy Javanmard
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746 73461, Iran
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14
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Donzelli S, Cioce M, Sacconi A, Zanconato F, Daralioti T, Goeman F, Orlandi G, Di Martino S, Fazio VM, Alessandrini G, Telera S, Carosi M, Ciliberto G, Botti C, Strano S, Piccolo S, Blandino G. A PIK3CA-mutant breast cancer metastatic patient-derived organoid approach to evaluate alpelisib treatment for multiple secondary lesions. Mol Cancer 2022; 21:152. [PMID: 35869553 PMCID: PMC9306102 DOI: 10.1186/s12943-022-01617-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/05/2022] [Indexed: 01/09/2023] Open
Affiliation(s)
- Sara Donzelli
- grid.417520.50000 0004 1760 5276Translational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Mario Cioce
- grid.9657.d0000 0004 1757 5329Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy ,grid.5326.20000 0001 1940 4177Institute of Translational Pharmacology, National Research Council of Italy (CNR), Rome, Italy
| | - Andrea Sacconi
- grid.417520.50000 0004 1760 5276Clinical Trial Center, Biostatistics and Bioinformatics Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Francesca Zanconato
- grid.5608.b0000 0004 1757 3470Present Address: Department of Molecular Medicine, University of Padua, Padua, Italy
| | - Theodora Daralioti
- grid.417520.50000 0004 1760 5276Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Frauke Goeman
- grid.417520.50000 0004 1760 5276SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Giulia Orlandi
- grid.419467.90000 0004 1757 4473Scientific Direction, IRCCS San Gallicano Dermatological Institute, Rome, Italy
| | - Simona Di Martino
- grid.417520.50000 0004 1760 5276Department of Pathology, Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Vito Michele Fazio
- grid.9657.d0000 0004 1757 5329Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy ,grid.5326.20000 0001 1940 4177Institute of Translational Pharmacology, National Research Council of Italy (CNR), Rome, Italy ,grid.413503.00000 0004 1757 9135Laboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Italy
| | - Gabriele Alessandrini
- grid.417520.50000 0004 1760 5276Thoracic Surgery, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Stefano Telera
- grid.417520.50000 0004 1760 5276Neurosurgery Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Mariantonia Carosi
- grid.417520.50000 0004 1760 5276Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Gennaro Ciliberto
- grid.417520.50000 0004 1760 5276Scientific Direction Office, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Claudio Botti
- grid.417520.50000 0004 1760 5276Breast Surgery Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Sabrina Strano
- grid.417520.50000 0004 1760 5276SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Stefano Piccolo
- grid.5608.b0000 0004 1757 3470Present Address: Department of Molecular Medicine, University of Padua, Padua, Italy ,IFOM ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | - Giovanni Blandino
- grid.417520.50000 0004 1760 5276Translational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
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15
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Development of vascular disease models to explore disease causation and pathomechanisms of rare vascular diseases. Semin Immunopathol 2022; 44:259-268. [PMID: 35233690 PMCID: PMC8887661 DOI: 10.1007/s00281-022-00925-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/10/2022] [Indexed: 12/15/2022]
Abstract
As the field of medicine is striving forward heralded by a new era of next-generation sequencing (NGS) and integrated technologies such as bioprinting and biological material development, the utility of rare monogenetic vascular disease modeling in this landscape is starting to emerge. With their genetic simplicity and broader applicability, these patient-specific models are at the forefront of modern personalized medicine. As a collective, rare diseases are a significant burden on global healthcare systems, and rare vascular diseases make up a significant proportion of this. High costs are due to a lengthy diagnostic process, affecting all ages from infants to adults, as well as the severity and chronic nature of the disease. Their complex nature requires sophisticated disease models and integrated approaches involving multidisciplinary teams. Here, we review these emerging vascular disease models, how they contribute to our understanding of the pathomechanisms in rare vascular diseases and provide useful platforms for therapeutic discovery.
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