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Gonzalez RD, Small GW, Green AJ, Akhtari FS, Motsinger-Reif AA, Quintanilha JCF, Havener TM, Reif DM, McLeod HL, Wiltshire T. MKX-AS1 Gene Expression Associated with Variation in Drug Response to Oxaliplatin and Clinical Outcomes in Colorectal Cancer Patients. Pharmaceuticals (Basel) 2023; 16:ph16050757. [PMID: 37242540 DOI: 10.3390/ph16050757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/11/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Oxaliplatin (OXAL) is a commonly used chemotherapy for treating colorectal cancer (CRC). A recent genome wide association study (GWAS) showed that a genetic variant (rs11006706) in the lncRNA gene MKX-AS1 and partnered sense gene MKX could impact the response of genetically varied cell lines to OXAL treatment. This study found that the expression levels of MKX-AS1 and MKX in lymphocytes (LCLs) and CRC cell lines differed between the rs11006706 genotypes, indicating that this gene pair could play a role in OXAL response. Further analysis of patient survival data from the Cancer Genome Atlas (TCGA) and other sources showed that patients with high MKX-AS1 expression status had significantly worse overall survival (HR = 3.2; 95%CI = (1.17-9); p = 0.024) compared to cases with low MKX-AS1 expression status. Alternatively, high MKX expression status had significantly better overall survival (HR = 0.22; 95%CI = (0.07-0.7); p = 0.01) compared to cases with low MKX expression status. These results suggest an association between MKX-AS1 and MKX expression status that could be useful as a prognostic marker of response to OXAL and potential patient outcomes in CRC.
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Affiliation(s)
- Ricardo D Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - George W Small
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Adrian J Green
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27606, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA
| | - Farida S Akhtari
- Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Alison A Motsinger-Reif
- Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | | | - Tammy M Havener
- Structural Genomics Consortium and Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - David M Reif
- Predictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Howard L McLeod
- Center for Precision Medicine and Functional Genomics, Utah Tech University, St. George, UT 84770, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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2
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Gonzalez RD, Small GW, Green AJ, Akhtari FS, Havener TM, Quintanilha JCF, Cipriani AB, Reif DM, McLeod HL, Motsinger-Reif AA, Wiltshire T. RYK Gene Expression Associated with Drug Response Variation of Temozolomide and Clinical Outcomes in Glioma Patients. Pharmaceuticals (Basel) 2023; 16:ph16050726. [PMID: 37242509 DOI: 10.3390/ph16050726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/25/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
Temozolomide (TMZ) chemotherapy is an important tool in the treatment of glioma brain tumors. However, variable patient response and chemo-resistance remain exceptionally challenging. Our previous genome-wide association study (GWAS) identified a suggestively significant association of SNP rs4470517 in the RYK (receptor-like kinase) gene with TMZ drug response. Functional validation of RYK using lymphocytes and glioma cell lines resulted in gene expression analysis indicating differences in expression status between genotypes of the cell lines and TMZ dose response. We conducted univariate and multivariate Cox regression analyses using publicly available TCGA and GEO datasets to investigate the impact of RYK gene expression status on glioma patient overall (OS) and progression-free survival (PFS). Our results indicated that in IDH mutant gliomas, RYK expression and tumor grade were significant predictors of survival. In IDH wildtype glioblastomas (GBM), MGMT status was the only significant predictor. Despite this result, we revealed a potential benefit of RYK expression in IDH wildtype GBM patients. We found that a combination of RYK expression and MGMT status could serve as an additional biomarker for improved survival. Overall, our findings suggest that RYK expression may serve as an important prognostic or predictor of TMZ response and survival for glioma patients.
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Affiliation(s)
- Ricardo D Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - George W Small
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Adrian J Green
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27606, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA
| | - Farida S Akhtari
- Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Tammy M Havener
- Structural Genomics Consortium and Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Amber B Cipriani
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - David M Reif
- Predictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC 27709, USA
| | - Howard L McLeod
- Center for Precision Medicine and Functional Genomics, Utah Tech University, St. George, UT 84770, USA
| | - Alison A Motsinger-Reif
- Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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3
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Cai L, Kirchleitner SV, Zhao D, Li M, Tonn JC, Glass R, Kälin RE. Glioblastoma Exhibits Inter-Individual Heterogeneity of TSPO and LAT1 Expression in Neoplastic and Parenchymal Cells. Int J Mol Sci 2020; 21:ijms21020612. [PMID: 31963507 PMCID: PMC7013601 DOI: 10.3390/ijms21020612] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 01/11/2020] [Accepted: 01/13/2020] [Indexed: 02/06/2023] Open
Abstract
Molecular imaging is essential for diagnosis and treatment planning for glioblastoma patients. Positron emission tomography (PET) with tracers for the detection of the solute carrier family 7 member 5 (SLC7A5; also known as the amino acid transporter light chain L system, LAT1) and for the mitochondrial translocator protein (TSPO) is successfully used to provide additional information on tumor volume and prognosis. The current approaches for TSPO-PET and the visualization of tracer ([18F] Fluoroethyltyrosine, FET) uptake by LAT1 (FET-PET) do not yet exploit the full diagnostic potential of these molecular imaging techniques. Therefore, we investigated the expression of TSPO and LAT1 in patient glioblastoma (GBM) samples, as well as in various GBM mouse models representing patient GBMs of different genetic subtypes. By immunohistochemistry, we found that TSPO and LAT1 are upregulated in human GBM samples compared to normal brain tissue. Next, we orthotopically implanted patient-derived GBM cells, as well as genetically engineered murine GBM cells, representing different genetic subtypes of the disease. To determine TSPO and LAT1 expression, we performed immunofluorescence staining. We found that both TSPO and LAT1 expression was increased in tumor regions of the implanted human or murine GBM cells when compared to the neighboring mouse brain tissue. While LAT1 was largely restricted to tumor cells, we found that TSPO was also expressed by microglia, tumor-associated macrophages, endothelial cells, and pericytes. The Cancer Genome Atlas (TCGA)-data analysis corroborates the upregulation of TSPO in a bigger cohort of GBM patient samples compared to tumor-free brain tissue. In addition, AIF1 (the gene encoding for the myeloid cell marker Iba1) was also upregulated in GBM compared to the control. Interestingly, TSPO, as well as AIF1, showed significantly different expression levels depending on the GBM genetic subtype, with the highest expression being exhibited in the mesenchymal subtype. High TSPO and AIF1 expression also correlated with a significant decrease in patient survival compared to low expression. In line with this finding, the expression levels for TSPO and AIF1 were also significantly higher in (isocitrate-dehydrogenase wild-type) IDHWT compared to IDH mutant (IDHMUT) GBM. LAT1 expression, on the other hand, was not different among the individual GBM subtypes. Therefore, we could conclude that FET- and TSPO-PET confer different information on pathological features based on different genetic GBM subtypes and may thus help in planning individualized strategies for brain tumor therapy in the future. A combination of TSPO-PET and FET-PET could be a promising way to visualize tumor-associated myeloid cells and select patients for treatment strategies targeting the myeloid compartment.
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Affiliation(s)
- Linzhi Cai
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
| | - Sabrina V. Kirchleitner
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
- Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Dongxu Zhao
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
| | - Min Li
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
| | - Jörg-Christian Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Rainer Glass
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Correspondence:
| | - Roland E. Kälin
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany (S.V.K.)
- Walter Brendel Center of Experimental Medicine, Faculty of Medicine, LMU Munich, 81377 Munich, Germany
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4
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Mastrella G, Hou M, Li M, Stoecklein VM, Zdouc N, Volmar MNM, Miletic H, Reinhard S, Herold-Mende CC, Kleber S, Eisenhut K, Gargiulo G, Synowitz M, Vescovi AL, Harter PN, Penninger JM, Wagner E, Mittelbronn M, Bjerkvig R, Hambardzumyan D, Schüller U, Tonn JC, Radke J, Glass R, Kälin RE. Targeting APLN/APLNR Improves Antiangiogenic Efficiency and Blunts Proinvasive Side Effects of VEGFA/VEGFR2 Blockade in Glioblastoma. Cancer Res 2019; 79:2298-2313. [PMID: 30718358 DOI: 10.1158/0008-5472.can-18-0881] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 10/19/2018] [Accepted: 01/29/2019] [Indexed: 11/16/2022]
Abstract
Antiangiogenic therapy of glioblastoma (GBM) with bevacizumab, a VEGFA-blocking antibody, may accelerate tumor cell invasion and induce alternative angiogenic pathways. Here we investigate the roles of the proangiogenic apelin receptor APLNR and its cognate ligand apelin in VEGFA/VEGFR2 antiangiogenic therapy against distinct subtypes of GBM. In proneural GBM, apelin levels were downregulated by VEGFA or VEGFR2 blockade. A central role for apelin/APLNR in controlling GBM vascularization was corroborated in a serial implantation model of the angiogenic switch that occurs in human GBM. Apelin and APLNR are broadly expressed in human GBM, and knockdown or knockout of APLN in orthotopic models of proneural or classical GBM subtypes significantly reduced GBM vascularization compared with controls. However, reduction in apelin expression led to accelerated GBM cell invasion. Analysis of stereotactic GBM biopsies from patients as well as from in vitro and in vivo experiments revealed increased dissemination of APLNR-positive tumor cells when apelin levels were reduced. Application of apelin-F13A, a mutant APLNR ligand, blocked tumor angiogenesis and GBM cell invasion. Furthermore, cotargeting VEGFR2 and APLNR synergistically improved survival of mice bearing proneural GBM. In summary, we show that apelin/APLNR signaling controls GBM angiogenesis and invasion and that both pathologic features are blunted by apelin-F13A. We suggest that apelin-F13A can improve the efficiency and reduce the side effects of established antiangiogenic treatments for distinct GBM subtypes. SIGNIFICANCE: Pharmacologic targeting of the APLNR acts synergistically with established antiangiogenic treatments in glioblastoma and blunts therapy resistance to current strategies for antiangiogenesis.See related commentary by Amoozgar et al., p. 2104.
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Affiliation(s)
- Giorgia Mastrella
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Mengzhuo Hou
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Min Li
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Veit M Stoecklein
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Nina Zdouc
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Marie N M Volmar
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Hrvoje Miletic
- Department of Biomedicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | | | - Christel C Herold-Mende
- Division of Neurosurgical Research, Department of Neurosurgery, University of Heidelberg, Germany
| | - Susanne Kleber
- Department of Molecular Neurobiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katharina Eisenhut
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | | | - Michael Synowitz
- Department of Neurosurgery, University Hospital Center Schleswig Holstein, Kiel, Germany
| | - Angelo L Vescovi
- IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Patrick N Harter
- Edinger-Institute (Neurological Institute), Goethe-University Medical School, Frankfurt am Main, Germany and German Cancer Consortium (DKTK), partner site Frankfurt/Mainz; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Josef M Penninger
- Institute of Molecular Biotechnology, Austrian Academy of Sciences, Vienna, Austria
| | - Ernst Wagner
- Department of Pharmacy, LMU Munich, Munich, Germany
| | - Michel Mittelbronn
- Edinger-Institute (Neurological Institute), Goethe-University Medical School, Frankfurt am Main, Germany and German Cancer Consortium (DKTK), partner site Frankfurt/Mainz; German Cancer Research Center (DKFZ), Heidelberg, Germany.,Luxembourg Centre of Neuropathology (LCNP), Luxembourg and NORLUX Neuro-Oncology Laboratory, Luxembourg Institute of Health (LIH), and Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rolf Bjerkvig
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Dolores Hambardzumyan
- Department of Pediatrics and Aflac Cancer Center of Children's Health Care of Atlanta, Emory University School of Medicine, Atlanta, Georgia
| | - Ulrich Schüller
- Institute of Neuropathology and Department of Pediatric Haematology and Oncology, University Medical Center, Hamburg-Eppendorf and Research Institute Children's Cancer Center, Hamburg, Germany
| | - Jörg-Christian Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Josefine Radke
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, German; Berlin Institute of Health (BIH), Berlin, Germany; German Cancer Consortium (DKTK), Heidelberg, Germany, Partner Site Berlin, Berlin, Germany
| | - Rainer Glass
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Walter Brendel Center of Experimental Medicine, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Roland E Kälin
- Neurosurgical Research, Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany. .,Walter Brendel Center of Experimental Medicine, Faculty of Medicine, LMU Munich, Munich, Germany
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5
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Mao XY, Dai JX, Zhou HH, Liu ZQ, Jin WL. Brain tumor modeling using the CRISPR/Cas9 system: state of the art and view to the future. Oncotarget 2016; 7:33461-71. [PMID: 26993776 PMCID: PMC5078110 DOI: 10.18632/oncotarget.8075] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 02/29/2016] [Indexed: 12/26/2022] Open
Abstract
Although brain tumors have been known tremendously over the past decade, there are still many problems to be solved. The etiology of brain tumors is not well understood and the treatment remains modest. There is in great need to develop a suitable brain tumor models that faithfully mirror the etiology of human brain neoplasm and subsequently get more efficient therapeutic approaches for these disorders. In this review, we described the current status of animal models of brain tumors and analyzed their advantages and disadvantages. Additionally, prokaryotic clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), a versatile genome editing technology for investigating the functions of target genes, and its application were also introduced in our present work. We firstly proposed that brain tumor modeling could be well established via CRISPR/Cas9 techniques. And CRISPR/Cas9-mediated brain tumor modeling was likely to be more suitable for figuring out the pathogenesis of brain tumors, as CRISPR/Cas9 platform was a simple and more efficient biological toolbox for implementing mutagenesis of oncogenes or tumor suppressors that were closely linked with brain tumors.
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Affiliation(s)
- Xiao-Yuan Mao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, P. R. China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, P. R. China
| | - Jin-Xiang Dai
- Public Health Sciences Division/Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, P. R. China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, P. R. China
| | - Zhao-Qian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, P. R. China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, P. R. China
| | - Wei-Lin Jin
- Institute of Nano Biomedicine and Engineering, Department of Instrument Science and Engineering, Key Laboratory for Thin Film and Microfabrication Technology of Ministry of Education, School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, P. R. China
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6
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Chen F, Becker A, LoTurco J. Overview of Transgenic Glioblastoma and Oligoastrocytoma CNS Models and Their Utility in Drug Discovery. ACTA ACUST UNITED AC 2016; 72:14.37.1-14.37.12. [PMID: 26995546 DOI: 10.1002/0471141755.ph1437s72] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Many animal models have been developed to investigate the sources of central nervous system (CNS) tumor heterogeneity. Reviewed in this unit is a recently developed CNS tumor model using the piggyBac transposon system delivered by in utero electroporation, in which sources of tumor heterogeneity can be conveniently studied. Their applications for studying CNS tumors and drug discovery are also reviewed. © 2016 by John Wiley & Sons, Inc.
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Affiliation(s)
- Fuyi Chen
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, Conn.,Current address: Department of Neurology, Yale School of Medicine, New Haven, Conn
| | - Albert Becker
- Department of Neuropathology, University of Bonn Medical Center, Bonn, Germany
| | - Joseph LoTurco
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, Conn
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7
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Stylli SS, Luwor RB, Ware TM, Tan F, Kaye AH. Mouse models of glioma. J Clin Neurosci 2015; 22:619-26. [DOI: 10.1016/j.jocn.2014.10.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 10/15/2014] [Indexed: 10/24/2022]
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8
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Simeonova I, Huillard E. In vivo models of brain tumors: roles of genetically engineered mouse models in understanding tumor biology and use in preclinical studies. Cell Mol Life Sci 2014; 71:4007-26. [PMID: 25008045 PMCID: PMC4175043 DOI: 10.1007/s00018-014-1675-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 06/20/2014] [Accepted: 06/30/2014] [Indexed: 01/09/2023]
Abstract
Although our knowledge of the biology of brain tumors has increased tremendously over the past decade, progress in treatment of these deadly diseases remains modest. Developing in vivo models that faithfully mirror human diseases is essential for the validation of new therapeutic approaches. Genetically engineered mouse models (GEMMs) provide elaborate temporally and genetically controlled systems to investigate the cellular origins of brain tumors and gene function in tumorigenesis. Furthermore, they can prove to be valuable tools for testing targeted therapies. In this review, we discuss GEMMs of brain tumors, focusing on gliomas and medulloblastomas. We describe how they provide critical insights into the molecular and cellular events involved in the initiation and maintenance of brain tumors, and illustrate their use in preclinical drug testing.
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Affiliation(s)
- Iva Simeonova
- Université Pierre et Marie Curie (UPMC) UMR-S975, Inserm U1127, CNRS UMR7225, Institut du Cerveau et de la Moelle Epiniere, 47 boulevard de l'Hôpital, 75013, Paris, France
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9
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Vandamme TF. Use of rodents as models of human diseases. J Pharm Bioallied Sci 2014; 6:2-9. [PMID: 24459397 PMCID: PMC3895289 DOI: 10.4103/0975-7406.124301] [Citation(s) in RCA: 211] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 11/20/2013] [Accepted: 11/20/2013] [Indexed: 12/12/2022] Open
Abstract
Advances in molecular biology have significantly increased the understanding of the biology of different diseases. However, these discoveries have not yet been fully translated into improved treatments for patients with diseases such as cancers. One of the factors limiting the translation of knowledge from preclinical studies to the clinic has been the limitations of in vivo diseases models. In this brief review, we will discuss the advantages and disadvantages of rodent models that have been developed to simulate human pathologies, focusing in models that employ xenografts and genetic modification. Within the framework of genetically engineered mouse (GEM) models, we will review some of the current genetic strategies for modeling diseases in the mouse and the preclinical studies that have already been undertaken. We will also discuss how recent improvements in imaging technologies may increase the information derived from using these GEMs during early assessments of potential therapeutic pathways. Furthermore, it is interesting to note that one of the values of using a mouse model is the very rapid turnover rate of the animal, going through the process of birth to death in a very short timeframe relative to that of larger mammalian species.
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Affiliation(s)
- Thierry F Vandamme
- University of Strasbourg, Faculty of Pharmacy, UMR 7199 CNRS, Laboratory of Concept and Application of Bioactive Molecules, Biogalenic Team, 74 Route du Rhin, 67400 Illkirch Graffenstaden, France
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10
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Micro-environment causes reversible changes in DNA methylation and mRNA expression profiles in patient-derived glioma stem cells. PLoS One 2014; 9:e94045. [PMID: 24728236 PMCID: PMC3984100 DOI: 10.1371/journal.pone.0094045] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Accepted: 03/11/2014] [Indexed: 12/12/2022] Open
Abstract
In vitro and in vivo models are widely used in cancer research. Characterizing the similarities and differences between a patient's tumor and corresponding in vitro and in vivo models is important for understanding the potential clinical relevance of experimental data generated with these models. Towards this aim, we analyzed the genomic aberrations, DNA methylation and transcriptome profiles of five parental tumors and their matched in vitro isolated glioma stem cell (GSC) lines and xenografts generated from these same GSCs using high-resolution platforms. We observed that the methylation and transcriptome profiles of in vitro GSCs were significantly different from their corresponding xenografts, which were actually more similar to their original parental tumors. This points to the potentially critical role of the brain microenvironment in influencing methylation and transcriptional patterns of GSCs. Consistent with this possibility, ex vivo cultured GSCs isolated from xenografts showed a tendency to return to their initial in vitro states even after a short time in culture, supporting a rapid dynamic adaptation to the in vitro microenvironment. These results show that methylation and transcriptome profiles are highly dependent on the microenvironment and growth in orthotopic sites partially reverse the changes caused by in vitro culturing.
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11
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Bovenberg MSS, Degeling MH, Tannous BA. Cell-based immunotherapy against gliomas: from bench to bedside. Mol Ther 2013; 21:1297-305. [PMID: 23648695 DOI: 10.1038/mt.2013.80] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 03/17/2013] [Indexed: 12/19/2022] Open
Abstract
Glioblastoma (GBM) comprises 51% of all gliomas and is the most malignant form of brain tumors with a median survival of 18-21 months. Standard-of-care treatment includes maximal surgical resection of the tumor mass in combination with radiation and chemotherapy. However, as the poor survival rate indicates, these treatments have not been effective in preventing disease progression. Cellular immunotherapy is currently being explored as therapeutic approach to treat malignant brain tumors. In this review, we discuss advances in active, passive, and vaccine-based immunotherapeutic strategies for gliomas both at the bench and in the clinic.
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Affiliation(s)
- M Sarah S Bovenberg
- Department of Neurology, Experimental Therapeutics and Molecular Imaging Laboratory, Neuroscience Center, Massachusetts General Hospital, Boston, Massachusetts, USA
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12
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Müller R, Fischer C, Wilmes T, Heimrich B, Distel V, Klugbauer N, Meyer DK. Phosphoinositide-3-kinases p110α and p110β mediate S phase entry in astroglial cells in the marginal zone of rat neocortex. Front Cell Neurosci 2013; 7:24. [PMID: 23504389 PMCID: PMC3596864 DOI: 10.3389/fncel.2013.00024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Accepted: 02/25/2013] [Indexed: 11/13/2022] Open
Abstract
In cells cultured from neocortex of newborn rats, phosphoinositide-3-kinases of class I regulate the DNA synthesis in a subgroup of astroglial cells. We have studied the location of these cells as well as the kinase isoforms which facilitate the S phase entry. Using dominant negative (dn) isoforms as well as selective pharmacological inhibitors we quantified S phase entry by nuclear labeling with bromodeoxyuridine (BrdU). Only in astroglial cells harvested from the marginal zone (MZ) of the neocortex inhibition of phosphoinositide-3-kinases reduced the nuclear labeling with BrdU, indicating that neocortical astroglial cells differ in the regulation of proliferation. The two kinase isoforms p110α and p110β were essential for S phase entry. p110α diminished the level of the p27Kip1 which inactivates the complex of cyclin E and CDK2 necessary for entry into the S phase. p110β phosphorylated and inhibited glycogen synthase kinase-3β which can prevent S-phase entry. Taken together, both isoforms mediated S phase in a subgroup of neocortical astroglial cells and acted via distinct pathways.
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Affiliation(s)
- Rabea Müller
- Institute of Experimental and Clinical Pharmacology und Toxicology, Albert-Ludwigs-University Freiburg Freiburg, Germany
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Yakisich JS. An Algorithm for the Preclinical Screening of Anticancer Drugs Effective against Brain Tumors. ISRN PHARMACOLOGY 2012; 2012:513580. [PMID: 22830045 PMCID: PMC3398605 DOI: 10.5402/2012/513580] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 06/11/2012] [Indexed: 01/11/2023]
Abstract
The anticancer drugs screening program is a long and expensive process. It is estimated that only 5% of drugs entering clinical trials are approved by the FDA. Moreover, many of the drugs that enter clinical trials are often of limited use in clinical practice, and most cancers remain untreatable. Brain tumors are particularly difficult to treat due to the presence of the blood brain barrier that limits the penetration of anticancer drugs. Additionally the isolation from most brain tumors of putative cancer stem cells and novel models of cancer stem cell biology suggest that anticancer drugs should be delivered for prolonged time and at higher concentrations to deplete any potential tumorigenic cell. In this paper, current concepts of cancer stem cell biology and novel concepts of anticancer drugs screening are integrated to develop a seven-steps algorithm as a guideline for the preclinical evaluation of active compounds for the treatment of brain tumors. The flexibility of the algorithm allows the inclusion of alternative studies to exhaustively investigate anticancer drugs and creates multiple opportunities where decisions to engage or not in early clinical trials can be made providing a useful tool for translational research in neurooncology.
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Affiliation(s)
- Juan Sebastian Yakisich
- Department of Clinical Neuroscience, Karolinska University Hospital, Karolinska Institute, SE-141 86 Stockholm, Sweden
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