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Murdaugh RL, Anastas JN. Applying single cell multi-omic analyses to understand treatment resistance in pediatric high grade glioma. Front Pharmacol 2023; 14:1002296. [PMID: 37205910 PMCID: PMC10191214 DOI: 10.3389/fphar.2023.1002296] [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: 07/25/2022] [Accepted: 04/20/2023] [Indexed: 05/21/2023] Open
Abstract
Despite improvements in cancer patient outcomes seen in the past decade, tumor resistance to therapy remains a major impediment to achieving durable clinical responses. Intratumoral heterogeneity related to genetic, epigenetic, transcriptomic, proteomic, and metabolic differences between individual cancer cells has emerged as a driver of therapeutic resistance. This cell to cell heterogeneity can be assessed using single cell profiling technologies that enable the identification of tumor cell clones that exhibit similar defining features like specific mutations or patterns of DNA methylation. Single cell profiling of tumors before and after treatment can generate new insights into the cancer cell characteristics that confer therapeutic resistance by identifying intrinsically resistant sub-populations that survive treatment and by describing new cellular features that emerge post-treatment due to tumor cell evolution. Integrative, single cell analytical approaches have already proven advantageous in studies characterizing treatment-resistant clones in cancers where pre- and post-treatment patient samples are readily available, such as leukemia. In contrast, little is known about other cancer subtypes like pediatric high grade glioma, a class of heterogeneous, malignant brain tumors in children that rapidly develop resistance to multiple therapeutic modalities, including chemotherapy, immunotherapy, and radiation. Leveraging single cell multi-omic technologies to analyze naïve and therapy-resistant glioma may lead to the discovery of novel strategies to overcome treatment resistance in brain tumors with dismal clinical outcomes. In this review, we explore the potential for single cell multi-omic analyses to reveal mechanisms of glioma resistance to therapy and discuss opportunities to apply these approaches to improve long-term therapeutic response in pediatric high grade glioma and other brain tumors with limited treatment options.
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Affiliation(s)
- Rebecca L. Murdaugh
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
- Program in Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States
| | - Jamie N. Anastas
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
- Program in Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States
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2
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Casagrande N, Borghese C, Aldinucci D. Current and Emerging Approaches to Study Microenvironmental Interactions and Drug Activity in Classical Hodgkin Lymphoma. Cancers (Basel) 2022; 14:cancers14102427. [PMID: 35626032 PMCID: PMC9139207 DOI: 10.3390/cancers14102427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/06/2022] [Accepted: 05/11/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary In classical Hodgkin Lymphoma (cHL), the tumor microenvironment (TME) plays an important role in tumor progression and treatment response, making its evaluation critical for determining prognosis, treatment strategies and predicting an increase in drug toxicity. Therefore, there is a need to utilize more complex systems to study the cHL-TME and its interplay with tumor cells. To evaluate new anticancer drugs and to find the mechanisms of drug resistance, this review summarizes emerging approaches for the analysis of the TME composition and to identify the state of the disease; the in vitro techniques used to determine the mechanisms involved in the building of an immunosuppressive and protective TME; new 3-dimensional (3D) models, the heterospheroids (HS), developed to mimic TME interactions. Here, we describe the present and likely future clinical applications indicated by the results of these studies and propose a classification for the in vitro culture methods used to study TME interactions in cHL. Abstract Classic Hodgkin lymphoma is characterized by a few tumor cells surrounded by a protective and immunosuppressive tumor microenvironment (TME) composed by a wide variety of noncancerous cells that are an active part of the disease. Therefore, new techniques to study the cHL-TME and new therapeutic strategies targeting specifically tumor cells, reactivating the antitumor immunity, counteracting the protective effects of the TME, were developed. Here, we describe new methods used to study the cell composition, the phenotype, and the spatial distribution of Hodgkin and Reed–Sternberg (HRS) cells and of noncancerous cells in tumor tissues. Moreover, we propose a classification, with increasing complexity, of the in vitro functional studies used to clarify the interactions leading not only to HRS cell survival, growth and drug resistance, but also to the immunosuppressive tumor education of monocytes, T lymphocytes and fibroblasts. This classification also includes new 3-dimensional (3D) models, obtained by cultivating HRS cells in extracellular matrix scaffolds or in sponge scaffolds, under non-adherent conditions with noncancerous cells to form heterospheroids (HS), implanted in developing chick eggs (ovo model). We report results obtained with these approaches and their applications in clinical setting.
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Abstract
Mass cytometry has revolutionized immunophenotyping, particularly in exploratory settings where simultaneous breadth and depth of characterization of immune populations is needed with limited samples such as in preclinical and clinical tumor immunotherapy. Mass cytometry is also a powerful tool for single-cell immunological assays, especially for complex and simultaneous characterization of diverse intratumoral immune subsets or immunotherapeutic cell populations. Through the elimination of spectral overlap seen in optical flow cytometry by replacement of fluorescent labels with metal isotopes, mass cytometry allows, on average, robust analysis of 60 individual parameters simultaneously. This is, however, associated with significantly increased complexity in the design, execution, and interpretation of mass cytometry experiments. To address the key pitfalls associated with the fragmentation, complexity, and analysis of data in mass cytometry for immunologists who are novices to these techniques, we have developed a comprehensive resource guide. Included in this review are experiment and panel design, antibody conjugations, sample staining, sample acquisition, and data pre-processing and analysis. Where feasible multiple resources for the same process are compared, allowing researchers experienced in flow cytometry but with minimal mass cytometry expertise to develop a data-driven and streamlined project workflow. It is our hope that this manuscript will prove a useful resource for both beginning and advanced users of mass cytometry.
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Affiliation(s)
- Akshay Iyer
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, United States
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Anouk A. J. Hamers
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, United States
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Asha B. Pillai
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, United States
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
- Sheila and David Fuente Program in Cancer Biology, University of Miami Miller School of Medicine, Miami, FL, United States
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Le Gallou S, Lhomme F, Irish JM, Mingam A, Pangault C, Monvoisin C, Ferrant J, Azzaoui I, Rossille D, Bouabdallah K, Damaj G, Cartron G, Godmer P, Le Gouill S, Casasnovas RO, Molina TJ, Houot R, Lamy T, Tarte K, Fest T, Roussel M. Nonclassical Monocytes Are Prone to Migrate Into Tumor in Diffuse Large B-Cell Lymphoma. Front Immunol 2021; 12:755623. [PMID: 34975843 PMCID: PMC8716558 DOI: 10.3389/fimmu.2021.755623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 11/24/2021] [Indexed: 11/16/2022] Open
Abstract
Absolute count of circulating monocytes has been proposed as an independent prognostic factor in diffuse large B-cell lymphoma (DLBCL). However, monocyte nomenclature includes various subsets with pro-, anti-inflammatory, or suppressive functions, and their clinical relevance in DLBCL has been poorly explored. Herein, we broadly assessed circulating monocyte heterogeneity in 91 DLBCL patients. Classical- (cMO, CD14pos CD16neg) and intermediate- (iMO, CD14pos CD16pos) monocytes accumulated in DLBCL peripheral blood and exhibited an inflammatory phenotype. On the opposite, nonclassical monocytes (ncMOSlanpos, CD14low CD16pos Slanneg and ncMOSlanneg, CD14low CD16pos, Slanneg) were decreased in peripheral blood. Tumor-conditioned monocytes presented similarities with ncMO phenotype from DLBCL and were prone to migrate in response to CCL5 and CXCL12, and presented similarities with DLBCL-infiltrated myeloid cells, as defined by mass cytometry. Finally, we demonstrated the adverse value of an accumulation of nonclassical monocytes in 2 independent cohorts of DLBCL.
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Affiliation(s)
- Simon Le Gallou
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Faustine Lhomme
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Jonathan M. Irish
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, United States
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Anna Mingam
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
| | - Celine Pangault
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Celine Monvoisin
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Juliette Ferrant
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Imane Azzaoui
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
| | - Delphine Rossille
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Krimo Bouabdallah
- Centre Hospitalier Universitaire de Bordeaux, Service d’Hématologie Clinique, Bordeaux, France
| | - Gandhi Damaj
- Centre Hospitalier Universitaire de Caen, Service d’Hématologie Clinique, Caen, France
| | - Guillaume Cartron
- Centre Hospitalier Universitaire de Montpellier, Service d’Hématologie Clinique, Montpellier, France
| | - Pascal Godmer
- Centre Hospitalier de Bretagne Atlantique, Unité d’Hématologie Clinique, Vannes, France
| | - Steven Le Gouill
- Centre Hospitalier Universitaire de Nantes, Service d’Hématologie Clinique, Institut National de la Sante et de la Recherche Medicale, Centre de Recherche en Cancérologie et Immunologie Nantes Angers (INSERM CCRCINA) Nantes-Angers, NeXT Université de Nantes, Nantes, France
| | | | - Thierry Jo Molina
- Asistance Publique, Hopitaux de Paris (APHP), Necker, Service d’Anatomopathologie, Sorbonne Université, Paris, France
| | - Roch Houot
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
- Centre Hospitalier Universitaire de Rennes, Service d’Hématologie Clinique, Rennes, France
| | - Thierry Lamy
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
- Centre Hospitalier Universitaire de Rennes, Service d’Hématologie Clinique, Rennes, France
| | - Karin Tarte
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Thierry Fest
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
| | - Mikael Roussel
- Centre Hospitalier Universitaire de Rennes, Pôle Biologie, Rennes, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche U1236, Université Rennes 1, Etablissement Français du Sang Bretagne, Rennes, France
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Astle JM, Huang H. Mass Cytometry in Hematologic Malignancies: Research Highlights and Potential Clinical Applications. Front Oncol 2021; 11:704464. [PMID: 34858804 PMCID: PMC8630615 DOI: 10.3389/fonc.2021.704464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 10/20/2021] [Indexed: 01/03/2023] Open
Abstract
Recent advances in global gene sequencing technologies and the effect they have had on disease diagnosis, therapy, and research have fueled interest in technologies capable of more broadly profiling not only genes but proteins, metabolites, cells, and almost any other component of biological systems. Mass cytometry is one such technology, which enables simultaneous characterization of over 40 parameters per cell, significantly more than can be achieved by even the most state-of-the-art flow cytometers. This mini-review will focus on how mass cytometry has been utilized to help advance the field of neoplastic hematology. Common themes among published studies include better defining lineage sub-populations, improved characterization of tumor microenvironments, and profiling intracellular signaling across multiple pathways simultaneously in various cell types. Reviewed studies highlight potential applications for disease diagnosis, prognostication, response to therapy, measurable residual disease analysis, and identifying new therapies.
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Affiliation(s)
- John M Astle
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Huiya Huang
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI, United States
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Ferrant J, Lhomme F, Le Gallou S, Irish JM, Roussel M. Circulating Myeloid Regulatory Cells: Promising Biomarkers in B-Cell Lymphomas. Front Immunol 2021; 11:623993. [PMID: 33603754 PMCID: PMC7884747 DOI: 10.3389/fimmu.2020.623993] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/14/2020] [Indexed: 01/01/2023] Open
Abstract
The monocyte/macrophage lineage has been shown to be involved in the promotion of a protumoral tumor microenvironment and resistance to treatment in B cell lymphomas. However, it is still poorly described at the single cell level, and tissue samples are not easily accessible. Thus, a detailed analysis of the circulating myeloid cell compartment in the different B lymphomas is needed to better understand the mechanisms of resistance to treatment and identify at risk patients. In this Perspective, we review current knowledge on the phenotypic and functional description of the circulating monocytic lineage in B cell lymphomas and provide first insights into the heterogeneity of these cell populations in health and lymphoma, using mass cytometry. Indeed, the monocytic compartment is a continuum more than distinct subpopulations, as demonstrated by our high-resolution approach, explaining the sometimes confusing and contradictory conclusions on the prognostic impact of the different populations, including monocytes and monocytic myeloid derived suppressor cells (M-MDSC). By identifying S100A9high monocytic cells as a potential biomarker in diffuse large B cell lymphoma (DLBCL) in this proof-of-concept preliminary study including a limited number of samples, we underline the potential of circulating myeloid regulatory cells as diagnostic and prognostic biomarkers in B-cell lymphomas.
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Affiliation(s)
| | - Faustine Lhomme
- Centre Hospitalier Universitaire de Rennes, Service Hématologie, Rennes, France
| | - Simon Le Gallou
- UMR_S_1236, Univ Rennes, Inserm, Rennes, France
- Centre Hospitalier Universitaire de Rennes, Laboratoire Hématologie, Pôle Biologie, Rennes, France
| | - Jonathan M. Irish
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, United States
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Mikael Roussel
- UMR_S_1236, Univ Rennes, Inserm, Rennes, France
- Centre Hospitalier Universitaire de Rennes, Laboratoire Hématologie, Pôle Biologie, Rennes, France
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7
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High-Dimensional Phenotyping of Human Myeloid-Derived Suppressor Cells/Tumor-Associated Macrophages in Tissue by Mass Cytometry. Methods Mol Biol 2021; 2236:57-66. [PMID: 33237540 DOI: 10.1007/978-1-0716-1060-2_6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) are heterogeneous cells that share myeloid markers and are not easily distinguishable in human tumors due to their lack of specific markers. These cells are a major player in the tumor microenvironment and are involved in the prognosis and physiopathology of various tumors. Here is presented a scheme to decipher these cells by mass cytometry.
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8
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Zhang T, Warden AR, Li Y, Ding X. Progress and applications of mass cytometry in sketching immune landscapes. Clin Transl Med 2020; 10:e206. [PMID: 33135337 PMCID: PMC7556381 DOI: 10.1002/ctm2.206] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Recently emerged mass cytometry (cytometry by time-of-flight [CyTOF]) technology permits the identification and quantification of inherently diverse cellular systems, and the simultaneous measurement of functional attributes at the single-cell resolution. By virtue of its multiplex ability with limited need for compensation, CyTOF has led a critical role in immunological research fields. Here, we present an overview of CyTOF, including the introduction of CyTOF principle and advantages that make it a standalone tool in deciphering immune mysteries. We then discuss the functional assays, introduce the bioinformatics to interpret the data yield via CyTOF, and depict the emerging clinical and research applications of CyTOF technology in sketching immune landscape in a wide variety of diseases.
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Affiliation(s)
- Ting Zhang
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Antony R. Warden
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Yiyang Li
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Xianting Ding
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
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Skytthe MK, Graversen JH, Moestrup SK. Targeting of CD163 + Macrophages in Inflammatory and Malignant Diseases. Int J Mol Sci 2020; 21:E5497. [PMID: 32752088 PMCID: PMC7432735 DOI: 10.3390/ijms21155497] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 02/07/2023] Open
Abstract
The macrophage is a key cell in the pro- and anti-inflammatory response including that of the inflammatory microenvironment of malignant tumors. Much current drug development in chronic inflammatory diseases and cancer therefore focuses on the macrophage as a target for immunotherapy. However, this strategy is complicated by the pleiotropic phenotype of the macrophage that is highly responsive to its microenvironment. The plasticity leads to numerous types of macrophages with rather different and, to some extent, opposing functionalities, as evident by the existence of macrophages with either stimulating or down-regulating effect on inflammation and tumor growth. The phenotypes are characterized by different surface markers and the present review describes recent progress in drug-targeting of the surface marker CD163 expressed in a subpopulation of macrophages. CD163 is an abundant endocytic receptor for multiple ligands, quantitatively important being the haptoglobin-hemoglobin complex. The microenvironment of inflammation and tumorigenesis is particular rich in CD163+ macrophages. The use of antibodies for directing anti-inflammatory (e.g., glucocorticoids) or tumoricidal (e.g., doxorubicin) drugs to CD163+ macrophages in animal models of inflammation and cancer has demonstrated a high efficacy of the conjugate drugs. This macrophage-targeting approach has a low toxicity profile that may highly improve the therapeutic window of many current drugs and drug candidates.
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Affiliation(s)
- Maria K. Skytthe
- Department of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark; (M.K.S.); (S.K.M.)
| | - Jonas Heilskov Graversen
- Department of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark; (M.K.S.); (S.K.M.)
| | - Søren K. Moestrup
- Department of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark; (M.K.S.); (S.K.M.)
- Department of Biomedicine, Aarhus University, 8200 Aarhus, Denmark
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