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Stackhouse CT, Anderson JC, Yue Z, Nguyen T, Eustace NJ, Langford CP, Wang J, Rowland JR, Xing C, Mikhail FM, Cui X, Alrefai H, Bash RE, Lee KJ, Yang ES, Hjelmeland AB, Miller CR, Chen JY, Gillespie GY, Willey CD. An in vivo model of glioblastoma radiation resistance identifies long non-coding RNAs and targetable kinases. JCI Insight 2022; 7:148717. [PMID: 35852875 PMCID: PMC9462495 DOI: 10.1172/jci.insight.148717] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 07/07/2022] [Indexed: 12/03/2022] Open
Abstract
Key molecular regulators of acquired radiation resistance in recurrent glioblastoma (GBM) are largely unknown, with a dearth of accurate preclinical models. To address this, we generated 8 GBM patient-derived xenograft (PDX) models of acquired radiation therapy–selected (RTS) resistance compared with same-patient, treatment-naive (radiation-sensitive, unselected; RTU) PDXs. These likely unique models mimic the longitudinal evolution of patient recurrent tumors following serial radiation therapy. Indeed, while whole-exome sequencing showed retention of major genomic alterations in the RTS lines, we did detect a chromosome 12q14 amplification that was associated with clinical GBM recurrence in 2 RTS models. A potentially novel bioinformatics pipeline was applied to analyze phenotypic, transcriptomic, and kinomic alterations, which identified long noncoding RNAs (lncRNAs) and targetable, PDX-specific kinases. We observed differential transcriptional enrichment of DNA damage repair pathways in our RTS models, which correlated with several lncRNAs. Global kinomic profiling separated RTU and RTS models, but pairwise analyses indicated that there are multiple molecular routes to acquired radiation resistance. RTS model–specific kinases were identified and targeted with clinically relevant small molecule inhibitors. This cohort of in vivo RTS patient-derived models will enable future preclinical therapeutic testing to help overcome the treatment resistance seen in patients with GBM.
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Affiliation(s)
| | | | - Zongliang Yue
- Informatics Institute, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Birmingham, Alabama, USA
| | - Thanh Nguyen
- Informatics Institute, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Birmingham, Alabama, USA
| | | | | | - Jelai Wang
- Informatics Institute, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Birmingham, Alabama, USA
| | - James R. Rowland
- Department of Physics, The Ohio State University, Columbus, Ohio, USA
| | | | - Fady M. Mikhail
- Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Xiangqin Cui
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | - Ryan E. Bash
- Division of Neuropathology, Department of Pathology, and
| | | | | | - Anita B. Hjelmeland
- Department of Cell, Developmental, and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - C. Ryan Miller
- Division of Neuropathology, Department of Pathology, and
| | - Jake Y. Chen
- Informatics Institute, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Birmingham, Alabama, USA
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Rahman M, Sawyer WG, Lindhorst S, Deleyrolle LP, Harrison JK, Karachi A, Dastmalchi F, Flores-Toro J, Mitchell DA, Lim M, Gilbert MR, Reardon DA. Adult immuno-oncology: using past failures to inform the future. Neuro Oncol 2021; 22:1249-1261. [PMID: 32391559 DOI: 10.1093/neuonc/noaa116] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
In oncology, "immunotherapy" is a broad term encompassing multiple means of utilizing the patient's immune system to combat malignancy. Prominent among these are immune checkpoint inhibitors, cellular therapies including chimeric antigen receptor T-cell therapy, vaccines, and oncolytic viruses. Immunotherapy for glioblastoma (GBM) has had mixed results in early trials. In this context, the past, present, and future of immune oncology for the treatment of GBM was discussed by clinical, research, and thought leaders as well as patient advocates at the first annual Remission Summit in 2019. The goal was to use current knowledge (published and unpublished) to identify possible causes of treatment failures and the best strategies to advance immunotherapy as a treatment modality for patients with GBM. The discussion focuses on past failures, current limitations, failure analyses, and proposed best practices moving forward.
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Affiliation(s)
- Maryam Rahman
- Department of Neurosurgery, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - W Gregory Sawyer
- Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida
| | - Scott Lindhorst
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina
| | - Loic P Deleyrolle
- Department of Neurosurgery, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Jeffrey K Harrison
- Department of Pharmacology and Therapeutics, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Aida Karachi
- Department of Neurosurgery, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Farhad Dastmalchi
- Department of Neurosurgery, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Joseph Flores-Toro
- Department of Pharmacology and Therapeutics, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Duane A Mitchell
- Department of Neurosurgery, Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, Florida
| | - Michael Lim
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Mark R Gilbert
- Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - David A Reardon
- Dana-Farber Cancer Institute, Harvard University School of Medicine, Boston, Massachusetts
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Eslahi M, Dana PM, Asemi Z, Hallajzadeh J, Mansournia MA, Yousefi B. The effects of chitosan-based materials on glioma: Recent advances in its applications for diagnosis and treatment. Int J Biol Macromol 2020; 168:124-129. [PMID: 33275978 DOI: 10.1016/j.ijbiomac.2020.11.180] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 07/05/2020] [Accepted: 11/25/2020] [Indexed: 12/20/2022]
Abstract
Glioma is known as the most common primary brain tumor occurring in adolescents and is considered as a lethal disease worldwide. Despite the advancements in presently available therapeutic approaches (i.e. radiation therapy and chemotherapy), the rate of amelioration in glioma patients is still low. In this regard, it seems that there is a need for reconsidering and enhancing current therapies and/or discovering novel therapeutic platforms. Chitosan is a natural polysaccharide with several beneficial characteristics, including biocompatibility, biodegradability, and low toxicity. Without causing toxic effects on healthy cells, chitosan nanoparticles are attractive targets in cancer therapy which lead to the sustained release and enhanced internalization of chemotherapeutic drugs as well as higher cytotoxicity for cancer cells. Hence, these properties turn it into a suitable candidate for the treatment of various cancers, including glioma. In the viewpoint of glioma, cancer inhibition is possible through targeting glioma-associated signaling pathways and molecules such as MMP-9, VEGF, TRAIL and nuclear factor-κB by chitosan and its derivatives. Moreover, it has been acknowledged that chitosan and its derivatives can be applied as a delivery system for carrying a diverse range of therapeutic agents to the tumor site. Besides the anti-glioma effects of chitosan and its derivatives, these molecules can be utilized for culturing glioma cancer cells; providing a better understanding of glioma pathogenesis. Furthermore, it is documented that 3D chitosan scaffolds are potential targets that offer advantageous drug screening platforms. Herein, we summarized the anti-glioma effects of chitosan and also its utilization as drug delivery systems in the treatment of glioma.
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Affiliation(s)
- Masoumeh Eslahi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Parisa Maleki Dana
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Jamal Hallajzadeh
- Department of Biochemistry and Nutrition, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran.
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahman Yousefi
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran and Department of Biochemistry and Nutrition, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran.
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Campanella R, Guarnaccia L, Caroli M, Zarino B, Carrabba G, La Verde N, Gaudino C, Rampini A, Luzzi S, Riboni L, Locatelli M, Navone SE, Marfia G. Personalized and translational approach for malignant brain tumors in the era of precision medicine: the strategic contribution of an experienced neurosurgery laboratory in a modern neurosurgery and neuro-oncology department. J Neurol Sci 2020; 417:117083. [PMID: 32784071 DOI: 10.1016/j.jns.2020.117083] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/16/2020] [Accepted: 08/04/2020] [Indexed: 12/20/2022]
Abstract
Personalized medicine (PM) aims to optimize patient management, taking into account the individual traits of each patient. The main purpose of PM is to obtain the best response, improving health care and lowering costs. Extending traditional approaches, PM introduces novel patient-specific paradigms from diagnosis to treatment, with greater precision. In neuro-oncology, the concept of PM is well established. Indeed, every neurosurgical intervention for brain tumors has always been highly personalized. In recent years, PM has been introduced in neuro-oncology also to design and prescribe specific therapies for the patient and the patient's tumor. The huge advances in basic and translational research in the fields of genetics, molecular and cellular biology, transcriptomics, proteomics, and metabolomics have led to the introduction of PM into clinical practice. The identification of a patient's individual variation map may allow to design selected therapeutic protocols that ensure successful outcomes and minimize harmful side effects. Thus, clinicians can switch from the "one-size-fits-all" approach to PM, ensuring better patient care and high safety margin. Here, we review emerging trends and the current literature about the development of PM in neuro-oncology, considering the positive impact of innovative advanced researches conducted by a neurosurgical laboratory.
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Affiliation(s)
- Rolando Campanella
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Laura Guarnaccia
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Manuela Caroli
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Barbara Zarino
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giorgio Carrabba
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Chiara Gaudino
- Department of Neuroradiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Angela Rampini
- Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Sabino Luzzi
- Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy; Neurosurgery Unit, Department of Surgical Sciences, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Laura Riboni
- Department of Medical Biotechnology and Translational Medicine, LITA-Segrate, University of Milan, Milan, Italy
| | - Marco Locatelli
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Aldo Ravelli" Research Center, Milan, Italy; Department of Medical-Surgical Physiopathology and Transplantation, University of Milan, Milan, Italy
| | - Stefania Elena Navone
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Aldo Ravelli" Research Center, Milan, Italy.
| | - Giovanni Marfia
- Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Aldo Ravelli" Research Center, Milan, Italy; Clinical Pathology Unit, Istituto di Medicina Aerospaziale "A. Moosso", Aeronautica Militare, Milan, Italy
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Pivotal Role of STAT3 in Shaping Glioblastoma Immune Microenvironment. Cells 2019; 8:cells8111398. [PMID: 31698775 PMCID: PMC6912524 DOI: 10.3390/cells8111398] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/02/2019] [Accepted: 11/04/2019] [Indexed: 12/03/2022] Open
Abstract
Glioblastoma belongs to the most malignant intracranial tumors characterized by indispensable growth and aggressiveness that highly associates with dismal prognosis and therapy resistance. Tumor heterogeneity that often challenges therapeutic schemes is largely attributed to the complex interaction of neoplastic cells with tumor microenvironment (TME). Soluble immunoregulatory molecules secreted by glioma cells attract astrocytes, circulating stem cells and a range of immune cells to TME, inducing a local production of cytokines, chemokines and growth factors that reprogram immune cells to inflammatory phenotypes and manipulate host’s immune response in favor of cancer growth and metastasis. Accumulating evidence indicates that these tolerogenic properties are highly regulated by the constitutive and persistent activation of the oncogenic signal transducer and activator of transcription 3 (STAT3) protein, which impairs anti-tumor immunity and enhances tumor progression. Herein, we discuss current experimental and clinical evidence that highlights the pivotal role of STAT3 in glioma tumorigenesis and particularly in shaping tumor immune microenvironment in an effort to justify the high need of selective targeting for glioma immunotherapy.
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