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Liu SJ, Raleigh DR, de Groot JF. Proteasome inhibition for glioblastoma: Lessons learned and new opportunities. Neuro Oncol 2024; 26:1683-1684. [PMID: 38934653 PMCID: PMC11376452 DOI: 10.1093/neuonc/noae118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Indexed: 06/28/2024] Open
Affiliation(s)
- S John Liu
- Departments of Radiation Oncology and Neurosurgery, University of California, San Francisco, California, USA
| | - David R Raleigh
- Departments of Radiation Oncology, Neurosurgery, and Pathology, University of California, San Francisco, California, USA
| | - John F de Groot
- Department of Neurosurgery, 400 Parnassus Ave, 8th Floor, University of California, San Francisco, San Francisco, California, USA
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Toh TB, Thng DKH, Bolem N, Vellayappan BA, Tan BWQ, Shen Y, Soon SY, Ang YLE, Dinesh N, Teo K, Nga VDW, Low SW, Khong PL, Chow EKH, Ho D, Yeo TT, Wong ALA. Evaluation of ex vivo drug combination optimization platform in recurrent high grade astrocytic glioma: An interventional, non-randomized, open-label trial protocol. PLoS One 2024; 19:e0307818. [PMID: 39058662 PMCID: PMC11280195 DOI: 10.1371/journal.pone.0307818] [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: 10/26/2023] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
INTRODUCTION High grade astrocytic glioma (HGG) is a lethal solid malignancy with high recurrence rates and limited survival. While several cytotoxic agents have demonstrated efficacy against HGG, drug sensitivity testing platforms to aid in therapy selection are lacking. Patient-derived organoids (PDOs) have been shown to faithfully preserve the biological characteristics of several cancer types including HGG, and coupled with the experimental-analytical hybrid platform Quadratic Phenotypic Optimization Platform (QPOP) which evaluates therapeutic sensitivity at a patient-specific level, may aid as a tool for personalized medical decisions to improve treatment outcomes for HGG patients. METHODS This is an interventional, non-randomized, open-label study, which aims to enroll 10 patients who will receive QPOP-guided chemotherapy at the time of first HGG recurrence following progression on standard first-line therapy. At the initial presentation of HGG, tumor will be harvested for primary PDO generation during the first biopsy/surgery. At the point of tumor recurrence, patients will be enrolled onto the main study to receive systemic therapy as second-line treatment. Subjects who undergo surgery at the time of recurrence will have a second harvest of tissue for PDO generation. Established PDOs will be subject to QPOP analyses to determine their therapeutic sensitivities to specific panels of drugs. A QPOP-guided treatment selection algorithm will then be used to select the most appropriate drug combination. The primary endpoint of the study is six-month progression-free survival. The secondary endpoints include twelve-month overall survival, RANO criteria and toxicities. In our radiological biomarker sub-study, we plan to evaluate novel radiopharmaceutical-based neuroimaging in determining blood-brain barrier permeability and to assess in vivo drug effects on tumor vasculature over time. TRIAL REGISTRATION This trial was registered on 8th September 2022 with ClinicalTrials.gov Identifier: NCT05532397.
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Affiliation(s)
- Tan Boon Toh
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore
| | - Dexter Kai Hao Thng
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore (CSI), National University of Singapore, Singapore, Singapore
| | - Nagarjun Bolem
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore
| | | | - Bryce Wei Quan Tan
- Cancer Science Institute of Singapore (CSI), National University of Singapore, Singapore, Singapore
| | - Yating Shen
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore (CSI), National University of Singapore, Singapore, Singapore
| | - Sou Yen Soon
- Department of Haematology-Oncology, National University Hospital, Singapore, Singapore
| | - Yvonne Li En Ang
- Department of Haematology-Oncology, National University Hospital, Singapore, Singapore
| | - Nivedh Dinesh
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore
| | - Kejia Teo
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore
| | - Vincent Diong Weng Nga
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore
| | - Shiong Wen Low
- Division of Neurological Surgery, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Pek Lan Khong
- Department of Diagnostic Imaging, National University Hospital, Singapore, Singapore
- Clinical Imaging Research Centre (CIRC), National University of Singapore, Singapore, Singapore
| | - Edward Kai-Hua Chow
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore (CSI), National University of Singapore, Singapore, Singapore
| | - Dean Ho
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore
| | - Tseng Tsai Yeo
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore
| | - Andrea Li Ann Wong
- Cancer Science Institute of Singapore (CSI), National University of Singapore, Singapore, Singapore
- Department of Haematology-Oncology, National University Hospital, Singapore, Singapore
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Roncali L, Marionneau-Lambot S, Roy C, Eychenne R, Gouard S, Avril S, Chouin N, Riou J, Allard M, Rousseau A, Guérard F, Hindré F, Chérel M, Garcion E. Brain intratumoural astatine-211 radiotherapy targeting syndecan-1 leads to durable glioblastoma remission and immune memory in female mice. EBioMedicine 2024; 105:105202. [PMID: 38905749 PMCID: PMC11246004 DOI: 10.1016/j.ebiom.2024.105202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Glioblastoma (GB), the most aggressive brain cancer, remains a critical clinical challenge due to its resistance to conventional treatments. Here, we introduce a locoregional targeted-α-therapy (TAT) with the rat monoclonal antibody 9E7.4 targeting murine syndecan-1 (SDC1) coupled to the α-emitter radionuclide astatine-211 (211At-9E7.4). METHODS We orthotopically transplanted 50,000 GL261 cells of murine GB into the right striatum of syngeneic female C57BL/6JRj mice using stereotaxis. After MRI validation of tumour presence at day 11, TAT was injected at the same coordinates. Biodistribution, efficacy, toxicity, local and systemic responses were assessed following application of this protocol. The 9E7.4 monoclonal antibody was labelled with iodine-125 (125I) for biodistribution and with astatine-211 (211At) for the other experiments. FINDINGS The 211At-9E7.4 TAT demonstrated robust efficacy in reducing orthotopic tumours and achieved improved survival rates in the C57BL/6JRj model, reaching up to 70% with a minimal activity of 100 kBq. Targeting SDC1 ensured the cerebral retention of 211At over an optimal time window, enabling low-activity administration with a minimal toxicity profile. Moreover, TAT substantially reduced the occurrence of secondary tumours and provided resistance to new tumour development after contralateral rechallenge, mediated through the activation of central and effector memory T cells. INTERPRETATION The locoregional 211At-9E7.4 TAT stands as one of the most efficient TAT across all preclinical GB models. This study validates SDC1 as a pertinent therapeutic target for GB and underscores 211At-9E7.4 TAT as a promising advancement to improve the treatment and quality of life for patients with GB. FUNDING This work was funded by the French National Agency for Research (ANR) "France 2030 Investment Plan" Labex Iron [ANR-11-LABX-18-01], The SIRIC ILIAD [INCa-DGOS-INSERM-18011], the French program "Infrastructure d'Avenir en Biologie-Santé" (France Life Imaging) [ANR-11-INBS-0006], the PIA3 of the ANR, integrated to the "France 2030 Investment Plan" [ANR-21-RHUS-0012], and support from Inviscan SAS (Strasbourg, France). It was also related to: the ANR under the frame of EuroNanoMed III (project GLIOSILK) [ANR-19-ENM3-0003-01]; the "Région Pays-de-la-Loire" under the frame of the Target'In project; the "Ligue Nationale contre le Cancer" and the "Comité Départemental de Maine-et-Loire de la Ligue contre le Cancer" (CD49) under the frame of the FusTarG project and the "Tumour targeting, imaging and radio-therapies network" of the "Cancéropôle Grand-Ouest" (France). This work was also funded by the Institut National de la Santé et de la Recherche Médicale (INSERM), the University of Nantes, and the University of Angers.
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Affiliation(s)
- Loris Roncali
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France; Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France
| | - Séverine Marionneau-Lambot
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; CHU Nantes, Nantes Université, Service de médecine nucléaire, F-44000, Nantes, France; CIMA (Centre d'Imagerie Multimodale Appliquée), Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France
| | - Charlotte Roy
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France; PRIMEX (Plateforme de Radiobiologie et d'Imageries Expérimentales), Université d'Angers, SFR 4208, F-49000, Angers, France
| | - Romain Eychenne
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; GIP ARRONAX, F-44160, Saint-Herblain, France
| | - Sébastien Gouard
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; CIMA (Centre d'Imagerie Multimodale Appliquée), Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France
| | - Sylvie Avril
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France
| | - Nicolas Chouin
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; ONIRIS, F-44000, Nantes, France
| | - Jérémie Riou
- CHU Angers, Université d'Angers, F-49000, Angers, France
| | - Mathilde Allard
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France
| | - Audrey Rousseau
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France; CHU Angers, Université d'Angers, F-49000, Angers, France
| | - François Guérard
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France
| | - François Hindré
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France; PRIMEX (Plateforme de Radiobiologie et d'Imageries Expérimentales), Université d'Angers, SFR 4208, F-49000, Angers, France
| | - Michel Chérel
- Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; CIMA (Centre d'Imagerie Multimodale Appliquée), Nantes Université, INSERM, CNRS, CRCI(2)NA, F-44000, Nantes, France; Institut de Cancérologie de l'Ouest, Service de médecine nucléaire, F-44160, Saint-Herblain, France.
| | - Emmanuel Garcion
- Université d'Angers, INSERM, CNRS, CRCI(2)NA, F-49000, Angers, France; PRIMEX (Plateforme de Radiobiologie et d'Imageries Expérimentales), Université d'Angers, SFR 4208, F-49000, Angers, France; PACEM (Plateforme d'Analyse Cellulaire et Moléculaire), Université d'Angers, SFR 4208, F-49000, Angers, France.
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Narsinh KH, Perez E, Haddad AF, Young JS, Savastano L, Villanueva-Meyer JE, Winkler E, de Groot J. Strategies to Improve Drug Delivery Across the Blood-Brain Barrier for Glioblastoma. Curr Neurol Neurosci Rep 2024; 24:123-139. [PMID: 38578405 PMCID: PMC11016125 DOI: 10.1007/s11910-024-01338-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 04/06/2024]
Abstract
PURPOSE OF REVIEW Glioblastoma remains resistant to most conventional treatments. Despite scientific advances in the past three decades, there has been a dearth of effective new treatments. New approaches to drug delivery and clinical trial design are needed. RECENT FINDINGS We discuss how the blood-brain barrier and tumor microenvironment pose challenges for development of effective therapies for glioblastoma. Next, we discuss treatments in development that aim to overcome these barriers, including novel drug designs such as nanoparticles and antibody-drug conjugates, novel methods of drug delivery, including convection-enhanced and intra-arterial delivery, and novel methods to enhance drug penetration, such as blood-brain barrier disruption by focused ultrasound and laser interstitial thermal therapy. Lastly, we address future opportunities, positing combination therapy as the best strategy for effective treatment, neoadjuvant and window-of-opportunity approaches to simultaneously enhance therapeutic effectiveness with interrogation of on-treatment biologic endpoints, and adaptive platform and basket trials as imperative for future trial design. New approaches to GBM treatment should account for the blood-brain barrier and immunosuppression by improving drug delivery, combining treatments, and integrating novel clinical trial designs.
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Affiliation(s)
- Kazim H Narsinh
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA.
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA.
| | - Edgar Perez
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
| | - Jacob S Young
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
| | - Luis Savastano
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Javier E Villanueva-Meyer
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Ethan Winkler
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - John de Groot
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
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Kishk A, Pires Pacheco M, Heurtaux T, Sauter T. Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas. Brief Bioinform 2024; 25:bbae199. [PMID: 38701414 PMCID: PMC11066901 DOI: 10.1093/bib/bbae199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/15/2024] [Accepted: 04/15/2024] [Indexed: 05/05/2024] Open
Abstract
Gliomas are the most common type of malignant brain tumors, with glioblastoma multiforme (GBM) having a median survival of 15 months due to drug resistance and relapse. The treatment of gliomas relies on surgery, radiotherapy and chemotherapy. Only 12 anti-brain tumor chemotherapies (AntiBCs), mostly alkylating agents, have been approved so far. Glioma subtype-specific metabolic models were reconstructed to simulate metabolite exchanges, in silico knockouts and the prediction of drug and drug combinations for all three subtypes. The simulations were confronted with literature, high-throughput screenings (HTSs), xenograft and clinical trial data to validate the workflow and further prioritize the drug candidates. The three subtype models accurately displayed different degrees of dependencies toward glutamine and glutamate. Furthermore, 33 single drugs, mainly antimetabolites and TXNRD1-inhibitors, as well as 17 drug combinations were predicted as potential candidates for gliomas. Half of these drug candidates have been previously tested in HTSs. Half of the tested drug candidates reduce proliferation in cell lines and two-thirds in xenografts. Most combinations were predicted to be efficient for all three glioma types. However, eflornithine/rifamycin and cannabidiol/adapalene were predicted specifically for GBM and low-grade glioma, respectively. Most drug candidates had comparable efficiency in preclinical tests, cerebrospinal fluid bioavailability and mode-of-action to AntiBCs. However, fotemustine and valganciclovir alone and eflornithine and celecoxib in combination with AntiBCs improved the survival compared to AntiBCs in two-arms, phase I/II and higher glioma clinical trials. Our work highlights the potential of metabolic modeling in advancing glioma drug discovery, which accurately predicted metabolic vulnerabilities, repurposable drugs and combinations for the glioma subtypes.
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Affiliation(s)
- Ali Kishk
- Department of Life Sciences and Medicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Maria Pires Pacheco
- Department of Life Sciences and Medicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Tony Heurtaux
- Department of Life Sciences and Medicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
- Luxembourg Centre of Neuropathology, L-3555 Dudelange, Luxembourg
| | - Thomas Sauter
- Department of Life Sciences and Medicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
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Liu Y, Zhu R, Xu T, Chen Y, Ding Y, Zuo S, Xu L, Xie HQ, Zhao B. Potential AhR-independent mechanisms of 2,3,7,8-Tetrachlorodibenzo-p-dioxin inhibition of human glioblastoma A172 cells migration. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116172. [PMID: 38458072 DOI: 10.1016/j.ecoenv.2024.116172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/29/2024] [Accepted: 03/02/2024] [Indexed: 03/10/2024]
Abstract
The toxicity of 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is generally believed to be mediated by aryl hydrocarbon receptor (AhR), but some evidence suggests that the effects of TCDD can also be produced through AhR-independent mechanisms. In previous experiments, we found that mainly AhR-dependent mechanism was involved in the migration inhibition of glioblastoma U87 cells by TCDD. Due to the heterogeneity of glioblastomas, not all tumor cells have significant AhR expression. The effects and mechanisms of TCDD on the migration of glioblastomas with low AhR expression are still unclear. We employed a glioblastoma cell line A172 with low AhR expression as a model, using wound healing and Transwell® assay to detect the effect of TCDD on cell migration. We found that TCDD can inhibit the migration of A172 cells without activating AhR signaling pathway. Further, after being pre-treated with AhR antagonist CH223191, the inhibition of TCDD on A172 cells migration was not changed, indicating that the effect of TCDD on A172 cells is not dependent on AhR activation. By transcriptome sequencing analysis, we propose dysregulation of the expression of certain migration-related genes, such as IL6, IL1B, CXCL8, FOS, SYK, and PTGS2 involved in cytokines, MAPK, NF-κB, and IL-17 signaling pathways, as potential AhR-independent mechanisms that mediate the inhibition of TCDD migration in A172 cells.
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Affiliation(s)
- Yiyun Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; School of Public Health, Chongqing medical University, Chongqing, China
| | - Ruihong Zhu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Tuan Xu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yangsheng Chen
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Ding
- School of Public Health, Chongqing medical University, Chongqing, China
| | - Sijia Zuo
- School of Public Health, Chongqing medical University, Chongqing, China
| | - Li Xu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Heidi Qunhui Xie
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Bin Zhao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
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Shikalov A, Koman I, Kogan NM. Targeted Glioma Therapy-Clinical Trials and Future Directions. Pharmaceutics 2024; 16:100. [PMID: 38258110 PMCID: PMC10820492 DOI: 10.3390/pharmaceutics16010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Glioblastoma multiforme (GBM) is the most common type of glioma, with a median survival of 14.6 months post-diagnosis. Understanding the molecular profile of such tumors allowed the development of specific targeted therapies toward GBM, with a major role attributed to tyrosine kinase receptor inhibitors and immune checkpoint inhibitors. Targeted therapeutics are drugs that work by specific binding to GBM-specific or overexpressed markers on the tumor cellular surface and therefore contain a recognition moiety linked to a cytotoxic agent, which produces an antiproliferative effect. In this review, we have summarized the available information on the targeted therapeutics used in clinical trials of GBM and summarized current obstacles and advances in targeted therapy concerning specific targets present in GBM tumor cells, outlined efficacy endpoints for major classes of investigational drugs, and discussed promising strategies towards an increase in drug efficacy in GBM.
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Affiliation(s)
| | | | - Natalya M. Kogan
- Department of Molecular Biology, Institute of Personalized and Translational Medicine, Ariel University, Ariel 40700, Israel; (A.S.); (I.K.)
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Smith EJ, Naik A, Goel M, Wen PY, Lim M, Chang SM, Germano IM. Adult neuro-oncology trials in the United States over 5 decades: Analysis of trials completion rate to guide the path forward. Neurooncol Adv 2024; 6:vdad169. [PMID: 38312230 PMCID: PMC10838133 DOI: 10.1093/noajnl/vdad169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2024] Open
Abstract
Background Clinical trials are important to close the gap between therapeutic unmet needs and scientific advances in neuro-oncology. This study analyzes the landscape of neuro-oncology trials to identify completion rates and guide strategies for the path forward. Methods US-registered adult neuro-oncology clinical trials were extracted from www.clinicaltrials.gov (1966-2019), including funding source, trial type, scope, phase, and subjects' demographics. Completed trials defined as those that had completed participants' examinations or intervention administration for the purpose of the final collection of data for the primary outcome were dichotomized against those that failed to reach completion. Univariate and multivariate analyses were used to detect differences across factors comparing the last 2 decades (2000-2009, 2010-2019). Results Our search yielded 4522 trials, of which 1257 are eligible for this study. In 25 US states, neuro-oncology trial availability is <0.85/100,000 population. Comparing the past 2 decades, trial completion rate decreased from 88% to 64% (P < .001) and National Institutes of Health funding decreased from 47% to 24% (P < .001). Inclusion of subjects >65-year-old and women increased, while inclusion of Hispanic subjects decreased (P < .001). The top 2 reasons for lack of completion included accrual and operational difficulties. A larger proportion of women, non-Hispanic subjects, and older adults were enrolled in completed trials than in those that failed completion. Conclusions Our study is the first report on the neuro-oncology clinical trial landscape in the United States and supports the development of strategies to further improve access to these trials. Additionally, attention is needed to identify and modify other factors contributing to lack of completion.
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Affiliation(s)
- Emily J Smith
- Carle Illinois College of Medicine, Urbana, Illinois, USA
| | - Anant Naik
- Carle Illinois College of Medicine, Urbana, Illinois, USA
| | - Mahima Goel
- Carle Illinois College of Medicine, Urbana, Illinois, USA
| | - Patrick Y Wen
- Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Lim
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, California, USA
| | - Susan M Chang
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
| | - Isabelle M Germano
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Taylor B, Tang N, Hao Y, Lee M, Peng S, Bybee R, Hartman L, Garcia-Mansfield K, Sharma R, Pirrotte P, Ma J, Parisian AD, Furnari F, Dhruv HD, Berens ME. Glioblastoma vulnerability to neddylation inhibition is dependent on PTEN status, and dysregulation of the cell cycle and DNA replication. Neurooncol Adv 2024; 6:vdae104. [PMID: 39119276 PMCID: PMC11306933 DOI: 10.1093/noajnl/vdae104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
Background Neddylation (NAE) inhibition, affecting posttranslational protein function and turnover, is a promising therapeutic approach to cancer. We report the cytotoxic vulnerability to NAE inhibitors in a subset of glioblastoma (GBM) preclinical models and identify genetic alterations and biological processes underlying differential response. Methods GBM DNA sequencing and transcriptomic data were queried for genes associated with response to NAE inhibition; candidates were validated by molecular techniques. Multi-omics and functional assays revealed processes implicated in NAE inhibition response. Results Transcriptomics and shotgun proteomics depict PTEN signaling, DNA replication, and DNA repair pathways as significant differentiators between sensitive and resistant models. Vulnerability to MLN4924, a NAE inhibitor, is associated with elevated S-phase populations, DNA re-replication, and DNA damage. In a panel of GBM models, loss of WT PTEN is associated with resistance to different NAE inhibitors. A NAE inhibition response gene set could segregate the GBM cell lines that are most resistant to MLN4924. Conclusions Loss of WT PTEN is associated with non-sensitivity to 3 different compounds that inhibit NAE in GBM. A NAE inhibition response gene set largely consisting of DNA replication genes could segregate GBM cell lines most resistant to NAEi and may be the basis for future development of NAE inhibition signatures of vulnerability and clinical trial enrollment within a precision medicine paradigm.
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Affiliation(s)
- Brett Taylor
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Nanyun Tang
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Yue Hao
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Matthew Lee
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Sen Peng
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Rita Bybee
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Lauren Hartman
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Krystine Garcia-Mansfield
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Ritin Sharma
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Patrick Pirrotte
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Jianhui Ma
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Alison D Parisian
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Frank Furnari
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Harshil D Dhruv
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Michael E Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
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10
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Hardigan AA, Jackson JD, Patel AP. Surgical Management and Advances in the Treatment of Glioma. Semin Neurol 2023; 43:810-824. [PMID: 37963582 PMCID: PMC11229982 DOI: 10.1055/s-0043-1776766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
The care of patients with both high-grade glioma and low-grade glioma necessitates an interdisciplinary collaboration between neurosurgeons, neuro-oncologists, neurologists and other practitioners. In this review, we aim to detail the considerations, approaches and advances in the neurosurgical care of gliomas. We describe the impact of extent-of-resection in high-grade and low-grade glioma, with particular focus on primary and recurrent glioblastoma. We address advances in surgical methods and adjunct technologies such as intraoperative imaging and fluorescence guided surgery that maximize extent-of-resection while minimizing the potential for iatrogenic neurological deficits. Finally, we review surgically-mediated therapies other than resection and discuss the role of neurosurgery in emerging paradigm-shifts in inter-disciplinary glioma management such as serial tissue sampling and "window of opportunity trials".
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Affiliation(s)
- Andrew A Hardigan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Joshua D Jackson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Anoop P Patel
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
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11
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Slika H, Karimov Z, Alimonti P, Abou-Mrad T, De Fazio E, Alomari S, Tyler B. Preclinical Models and Technologies in Glioblastoma Research: Evolution, Current State, and Future Avenues. Int J Mol Sci 2023; 24:16316. [PMID: 38003507 PMCID: PMC10671665 DOI: 10.3390/ijms242216316] [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: 10/24/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
Glioblastoma is the most common malignant primary central nervous system tumor and one of the most debilitating cancers. The prognosis of patients with glioblastoma remains poor, and the management of this tumor, both in its primary and recurrent forms, remains suboptimal. Despite the tremendous efforts that are being put forward by the research community to discover novel efficacious therapeutic agents and modalities, no major paradigm shifts have been established in the field in the last decade. However, this does not mirror the abundance of relevant findings and discoveries made in preclinical glioblastoma research. Hence, developing and utilizing appropriate preclinical models that faithfully recapitulate the characteristics and behavior of human glioblastoma is of utmost importance. Herein, we offer a holistic picture of the evolution of preclinical models of glioblastoma. We further elaborate on the commonly used in vitro and vivo models, delving into their development, favorable characteristics, shortcomings, and areas of potential improvement, which aids researchers in designing future experiments and utilizing the most suitable models. Additionally, this review explores progress in the fields of humanized and immunotolerant mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics and highlights promising avenues for the future of preclinical glioblastoma research.
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Affiliation(s)
- Hasan Slika
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
| | - Ziya Karimov
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
- Faculty of Medicine, Ege University, 35100 Izmir, Turkey
| | - Paolo Alimonti
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (P.A.); (E.D.F.)
| | - Tatiana Abou-Mrad
- Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon;
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Emerson De Fazio
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy; (P.A.); (E.D.F.)
| | - Safwan Alomari
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
| | - Betty Tyler
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (H.S.); (Z.K.); (S.A.)
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12
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Kim Y, Armstrong TS, Gilbert MR, Celiku O. A critical analysis of neuro-oncology clinical trials. Neuro Oncol 2023; 25:1658-1671. [PMID: 36757281 PMCID: PMC10484169 DOI: 10.1093/neuonc/noad036] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Limitations in trial design, accrual, and data reporting impact efficient and reliable drug evaluation in cancer clinical trials. These concerns have been recognized in neuro-oncology but have not been comprehensively evaluated. We conducted a semi-automated survey of adult interventional neuro-oncology trials, examining design, interventions, outcomes, and data availability trends. METHODS Trials were selected programmatically from ClinicalTrials.gov using primary malignant central nervous system tumor classification terms. Regression analyses assessed design and accrual trends; effect size analysis utilized survival rates among trials investigating survival. RESULTS Of 3038 reviewed trials, most trials reporting relevant information were nonblinded (92%), single group (65%), nonrandomized (51%), and studied glioblastomas (47%) or other gliomas. Basic design elements were reported by most trials, with reporting increasing over time (OR = 1.24, P < .00001). Trials assessing survival outcomes were estimated to assume large effect sizes of interventions when powering their designs. Forty-two percent of trials were completed; of these, 38% failed to meet their enrollment target, with worse accrual over time (R = -0.94, P < .00001) and for US versus non-US based trials (OR = 0.5, P < .00001). Twenty-eight percent of completed trials reported partial results, with greater reporting for US (34.6%) versus non-US based trials (9.3%, P < .00001). Efficacy signals were detected by 15%-23% of completed trials reporting survival outcomes. CONCLUSION Low randomization rates, underutilization of controls, and overestimation of effect size, particularly pronounced in early-phase trials, impede generalizability of results. Suboptimal designs may be driven by accrual challenges, underscoring the need for cooperative efforts and novel designs. The limited results reporting highlights the need to incentivize data reporting and harmonization.
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Affiliation(s)
- Yeonju Kim
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Terri S Armstrong
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Orieta Celiku
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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13
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Cho NS, Wong WK, Nghiemphu PL, Cloughesy TF, Ellingson BM. The Future Glioblastoma Clinical Trials Landscape: Early Phase 0, Window of Opportunity, and Adaptive Phase I-III Studies. Curr Oncol Rep 2023; 25:1047-1055. [PMID: 37402043 PMCID: PMC10474988 DOI: 10.1007/s11912-023-01433-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2023] [Indexed: 07/05/2023]
Abstract
PURPOSE OF REVIEW Innovative clinical trial designs for glioblastoma (GBM) are needed to expedite drug discovery. Phase 0, window of opportunity, and adaptive designs have been proposed, but their advanced methodologies and underlying biostatistics are not widely known. This review summarizes phase 0, window of opportunity, and adaptive phase I-III clinical trial designs in GBM tailored to physicians. RECENT FINDINGS Phase 0, window of opportunity, and adaptive trials are now being implemented for GBM. These trials can remove ineffective therapies earlier during drug development and improve trial efficiency. There are two ongoing adaptive platform trials: GBM Adaptive Global Innovative Learning Environment (GBM AGILE) and the INdividualized Screening trial of Innovative GBM Therapy (INSIGhT). The future clinical trials landscape in GBM will increasingly involve phase 0, window of opportunity, and adaptive phase I-III studies. Continued collaboration between physicians and biostatisticians will be critical for implementing these trial designs.
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Affiliation(s)
- Nicholas S Cho
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA
- Medical Scientist Training Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Weng Kee Wong
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Phioanh L Nghiemphu
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Timothy F Cloughesy
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA.
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
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14
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Bond KM, Curtin L, Hawkins-Daarud A, Urcuyo JC, De Leon G, Singleton KW, Afshari AE, Paulson LE, Sereduk CP, Smith KA, Nakaji P, Baxter LC, Patra DP, Gustafson MP, Dietz AB, Zimmerman RS, Bendok BR, Tran NL, Hu LS, Parney IF, Rubin JB, Swanson KR. Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastoma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.13.23292619. [PMID: 37503239 PMCID: PMC10370220 DOI: 10.1101/2023.07.13.23292619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
BACKGROUND Glioblastoma is an extraordinarily heterogeneous tumor, yet the current treatment paradigm is a "one size fits all" approach. Hundreds of glioblastoma clinical trials have been deemed failures because they did not extend median survival, but these cohorts are comprised of patients with diverse tumors. Current methods of assessing treatment efficacy fail to fully account for this heterogeneity. METHODS Using an image-based modeling approach, we predicted T-cell abundance from serial MRIs of patients enrolled in the dendritic cell (DC) vaccine clinical trial. T-cell predictions were quantified in both the contrast-enhancing and non-enhancing regions of the imageable tumor, and changes over time were assessed. RESULTS A subset of patients in a DC vaccine clinical trial, who had previously gone undetected, were identified as treatment responsive and benefited from prolonged survival. A mere two months after initial vaccine administration, responsive patients had a decrease in model-predicted T-cells within the contrast-enhancing region, with a simultaneous increase in the T2/FLAIR region. CONCLUSIONS In a field that has yet to see breakthrough therapies, these results highlight the value of machine learning in enhancing clinical trial assessment, improving our ability to prospectively prognosticate patient outcomes, and advancing the pursuit towards individualized medicine.
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15
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Halatsch ME. Special Issue: Principal Challenges in the Adjuvant Treatment of Glioblastoma. Biomedicines 2023; 11:1881. [PMID: 37509520 PMCID: PMC10377107 DOI: 10.3390/biomedicines11071881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 06/13/2023] [Indexed: 07/30/2023] Open
Abstract
Despite advances in local treatments, such as supramaximal resection (even in eloquent locations [...].
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Affiliation(s)
- Marc-Eric Halatsch
- Department of Neurosurgery, Cantonal Hospital of Winterthur, CH-8400 Winterthur, Switzerland
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16
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Rahimy E, Gensheimer MF, Beadle B, Le QT. Lessons and Opportunities for Biomarker-Driven Radiation Personalization in Head and Neck Cancer. Semin Radiat Oncol 2023; 33:336-347. [PMID: 37331788 DOI: 10.1016/j.semradonc.2023.03.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Head and neck cancer is notoriously challenging to treat in part because it constitutes an anatomically and biologically diverse group of cancers with heterogeneous prognoses. While treatment can be associated with significant late toxicities, recurrence is often difficult to salvage with poor survival rates and functional morbidity.1,2 Thus, achieving tumor control and cure at the initial diagnosis is the highest priority. Given the differing outcome expectations (even within a specific sub-site like oropharyngeal carcinoma), there has been growing interest in personalizing treatment: de-escalation in selected cancers to decrease the risk of late toxicity without compromising oncologic outcomes, and intensification for more aggressive cancers to improve oncologic outcomes without causing undue toxicity. This risk stratification is increasingly accomplished using biomarkers, which can represent molecular, clinicopathologic, and/or radiologic data. In this review, we will focus on biomarker-driven radiotherapy dose personalization with emphasis on oropharyngeal and nasopharyngeal carcinoma. This radiation personalization is largely performed on the population level by identifying patients with good prognosis via traditional clinicopathologic factors, although there are emerging studies supporting inter-tumor and intra-tumor level personalization via imaging and molecular biomarkers.
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Affiliation(s)
- Elham Rahimy
- Department of Radiation Oncology, Stanford University, Stanford, CA.
| | | | - Beth Beadle
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford University, Stanford, CA
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17
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Wei L, Pan M, Jiang Q, Hu B, Zhao J, Zou C, Chen L, Tang C, Zou D. Eukaryotic initiation factor 4 A-3 promotes glioblastoma growth and invasion through the Notch1-dependent pathway. BMC Cancer 2023; 23:550. [PMID: 37322413 DOI: 10.1186/s12885-023-10946-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 05/11/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND As an adult tumor with the most invasion and the highest mortality rate, the inherent heterogeneity of glioblastoma (GBM) is the main factor that causes treatment failure. Therefore, it is important to have a deeper understanding of the pathology of GBM. Some studies have shown that Eukaryotic Initiation Factor 4A-3 (EIF4A3) can promote the growth of many people's tumors, and the role of specific molecules in GBM remains unclear. METHODS The correlation between the expression of EIF4A3 gene and its prognosis was studied in 94 GBM patients using survival analysis. Further in vitro and in vivo experiments, the effect of EIF4A3 on GBM cells proliferation, migration, and the mechanism of EIF4A3 on GBM was explored. In addition, combined with bioinformatics analysis, we further confirmed that EIF4A3 contributes to the progress of GBM. RESULTS The expression of EIF4A3 was upregulated in GBM tissues, and high expression of EIF4A3 is associated with poor prognosis in GBM. In vitro, knockdown of EIF4A3 significantly reduced the proliferation, migration, and invasion abilities of GBM cells, whereas overexpression of EIF4A3 led to the opposite effect. The analysis of differentially expressed genes related to EIF4A3 indicates that it is involved in many cancer-related pathways, such as Notch and JAK-STAT3 signal pathway. In Besides, we demonstrated the interaction between EIF4A3 and Notch1 by RNA immunoprecipitation. Finally, the biological function of EIF4A3-promoted GBM was confirmed in living organisms. CONCLUSION The results of this study suggest that EIF4A3 may be a potential prognostic factor, and Notch1 participates in the proliferation and metastasis of GBM cells mediated by EIF4A3.
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Affiliation(s)
- Lei Wei
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, 530022, Guangxi, China
| | - Mika Pan
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China
| | - Qiulan Jiang
- Department of Radiation Oncology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, Guangxi, People's Republic of China
| | - Beiquan Hu
- Department of Neurosurgery, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, 530022, Guangxi, China
| | - Jianyi Zhao
- Department of Neurosurgery, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Chun Zou
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China
| | - Liechun Chen
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China
| | - Chunhai Tang
- Department of Neurosurgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.
- The Second Affiliated Hospital of Guangxi Medical University, No. 166 Daxue Dong Road, Nanning, 530007, Guangxi, China.
| | - Donghua Zou
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.
- The Second Affiliated Hospital of Guangxi Medical University, No. 166 Daxue Dong Road, Nanning, 530007, Guangxi, China.
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18
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Bagley SJ. Phase II trials in the era of glioblastoma immunotherapy: New mechanisms of action, familiar challenges in trial design and tumor response assessment. Neuro Oncol 2023; 25:1098-1099. [PMID: 36789741 PMCID: PMC10237420 DOI: 10.1093/neuonc/noad043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Indexed: 02/16/2023] Open
Affiliation(s)
- Stephen J Bagley
- Division of Hematology/Oncology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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19
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Gonzalez Castro LN, Arrillaga-Romany IC, Batchelor TT. Challenges and Opportunities for Clinical Trials in Patients With Glioma. JAMA Neurol 2023; 80:227-228. [PMID: 36648934 DOI: 10.1001/jamaneurol.2022.4924] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This Viewpoint discusses the challenges and opportunities of including patients with glioma in clinical trials.
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Affiliation(s)
- L Nicolas Gonzalez Castro
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Tracy T Batchelor
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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20
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Abstract
Organoids are a new type of 3D model for tumor research, which makes up for the shortcomings of cell lines and xenograft models, and promotes the development of personalized precision medicine. Long-term culture, expansion and storage of organoids provide the necessary conditions for the establishment of biobanks. Biobanks standardize the collection and preservation of normal or pathological specimens, as well as related clinical information. The tumor organoid biobank has a good quality control system, which is conducive to the clinical transformation and large-scale application of tumor organoids, such as disease modeling, new drug development and high-throughput drug screening. This article summarized the common tumor types of patient-derived organoid (PDO) biobanks and the necessary information for biobank construction, such as the number of organoids, morphology, success rate of culture and resuscitation, pathological types. In our results, we found that patient-derived tumor organoid (PDTO) biobanks were being established more and more, with the Netherlands, the United States, and China establishing the most. Biobanks of colorectal, pancreas, breast, glioma, and bladder cancers were established more, which reflected the relative maturity of culture techniques for these tumors. In addition, we provided insights on the precautions and future development direction of PDTO biobank building.
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21
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Oshima S, Hagiwara A, Raymond C, Wang C, Cho NS, Lu J, Eldred BSC, Nghiemphu PL, Lai A, Telesca D, Salamon N, Cloughesy TF, Ellingson BM. Change in volumetric tumor growth rate after cytotoxic therapy is predictive of overall survival in recurrent glioblastoma. Neurooncol Adv 2023; 5:vdad084. [PMID: 37554221 PMCID: PMC10406419 DOI: 10.1093/noajnl/vdad084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2023] Open
Abstract
Background Alterations in tumor growth rate (TGR) in recurrent glioblastoma (rGBM) after treatment may be useful for identifying therapeutic activity. The aim of this study was to assess the impact of volumetric TGR alterations on overall survival (OS) in rGBM treated with chemotherapy with or without radiation therapy (RT). Methods Sixty-one rGBM patients treated with chemotherapy with or without concomitant radiation therapy (RT) at 1st or 2nd recurrence were retrospectively examined. Pre- and post-treatment contrast enhancing volumes were computed. Patients were considered "responders" if they reached progression-free survival at 6 months (PFS6) and showed a decrease in TGR after treatment and "non-responders" if they didn't reach PFS6 or if TGR increased. Results Stratification by PFS6 and based on TGR resulted in significant differences in OS both for all patients and for patients without RT (P < 0.05). A decrease of TGR (P = 0.009), smaller baseline tumor volume (P = 0.02), O6-methylguanine-DNA methyltransferase promoter methylation (P = 0.048) and fewer number of recurrences (P = 0.048) were significantly associated with longer OS after controlling for age, sex and concomitant RT. Conclusion A decrease in TGR in patients with PFS6, along with smaller baseline tumor volume, were associated with a significantly longer OS in rGBM treated with chemotherapy with or without radiation. Importantly, all patients that exhibited PFS6 also showed a measurable decrease in TGR.
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Affiliation(s)
- Sonoko Oshima
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Akifumi Hagiwara
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Chencai Wang
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Nicholas S Cho
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, California, USA
- Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Jianwen Lu
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Blaine S C Eldred
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Phioanh L Nghiemphu
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Albert Lai
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Donatello Telesca
- Department of Biostatistics, University of California, Los Angeles, California, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, California, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, California, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, California, USA
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22
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Ferdosi SR, Taylor B, Lee M, Tang N, Peng S, Bybee R, Reid G, Hartman L, Garcia-Mansfield K, Sharma R, Pirrotte P, Ma J, Parisian AD, Furnari F, Dhruv HD, Berens ME. PTEN loss drives resistance to the neddylation inhibitor MLN4924 in glioblastoma and can be overcome with TOP2A inhibitors. Neuro Oncol 2022; 24:1857-1868. [PMID: 35305088 PMCID: PMC9629460 DOI: 10.1093/neuonc/noac067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Neddylation inhibition, affecting posttranslational protein function and turnover, is a promising therapeutic approach to cancer. We report vulnerability to MLN4924 or pevonedistat (a neddylation inhibitor) in a subset of glioblastoma (GBM) preclinical models and identify biomarkers, mechanisms, and signatures of differential response. METHODS GBM sequencing data were queried for genes associated with MLN4924 response status; candidates were validated by molecular techniques. Time-course transcriptomics and proteomics revealed processes implicated in MLN4924 response. RESULTS Vulnerability to MLN4924 is associated with elevated S-phase populations, re-replication, and DNA damage. Transcriptomics and shotgun proteomics depict PTEN signaling, DNA replication, and chromatin instability pathways as significant differentiators between sensitive and resistant models. Loss of PTEN and its nuclear functions is associated with resistance to MLN4924. Time-course proteomics identified elevated TOP2A in resistant models through treatment. TOP2A inhibitors combined with MLN4924 prove synergistic. CONCLUSIONS We show that PTEN status serves as both a novel biomarker for MLN4924 response in GBM and reveals a vulnerability to TOP2A inhibitors in combination with MLN4924.
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Affiliation(s)
- Shayesteh R Ferdosi
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Brett Taylor
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Matthew Lee
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Nanyun Tang
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Sen Peng
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Rita Bybee
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - George Reid
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Lauren Hartman
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Krystine Garcia-Mansfield
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Ritin Sharma
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Patrick Pirrotte
- Collaborative Center for Translational Mass Spectrometry, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Jianhui Ma
- Ludwig Cancer Research, San Diego Branch, La Jolla, CA 92093, USA
| | | | - Frank Furnari
- Ludwig Cancer Research, San Diego Branch, La Jolla, CA 92093, USA
- Department of Pathology, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA
| | - Harshil D Dhruv
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Michael E Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
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23
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Saraf A, Trippa L, Rahman R. Novel Clinical Trial Designs in Neuro-Oncology. Neurotherapeutics 2022; 19:1844-1854. [PMID: 35969361 PMCID: PMC9723049 DOI: 10.1007/s13311-022-01284-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2022] [Indexed: 12/13/2022] Open
Abstract
Scientific and technologic advances have led to a boon of candidate therapeutics for patients with malignancies of the central nervous system. The path from drug development to clinical use has generally followed a regimented order of sequential clinical trial phases. The recent increase in novel therapies, however, has strained the regulatory process and unearthed limitations of the current system, including significant cost, prolonged development time, and difficulties in testing therapies for rarer tumors. Novel clinical trial designs have emerged to increase efficiencies in clinical trial conduct to better evaluate and bring impactful drugs to patients in a timely manner. In order to better capture meaningful benefits for brain tumor patients, new endpoints to complement or replace traditional endpoints are also an increasingly important consideration. This review will explore the current challenges in the current clinical trial landscape and discuss novel clinical trial concepts, including consideration of limitations and risks of novel trial designs, within the context of neuro-oncology.
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Affiliation(s)
- Anurag Saraf
- Harvard Radiation Oncology Program, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Lorenzo Trippa
- Department of Data Sciences, Dana-Farber Cancer Institute, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Rifaquat Rahman
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA.
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24
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miR-3059-3p Regulates Glioblastoma Multiforme Radiosensitivity Enhancement through the Homologous Recombination Pathway of DNA Repair. JOURNAL OF ONCOLOGY 2022; 2022:7250278. [PMID: 36185623 PMCID: PMC9519319 DOI: 10.1155/2022/7250278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/07/2022] [Indexed: 11/18/2022]
Abstract
Background Glioblastoma multiforme (GBM) is one of the most deadly and recalcitrant illnesses of the neurocentral nervous system in humans. MicroRNAs (miRNAs) are a class of noncoding RNAs that play important roles in the regulation of gene expression and biological processes, including radiosensitivity. In this study, we demonstrated the relationship between miR-3059-3p and radiation in GBM. Materials and Methods Radioresistant (RR) cells were obtained by exposing GBM8401 cells to 80 Gy radiation in 20 weekly 4 Gy fractions. miR-3059-3p mRNA and DNA replication helicase/nuclease 2 (DNA2) protein expressions were detected using real-time polymerase chain reaction and immunoblotting. Using flow cytometry, colony formation and apoptosis were identified using miR-3059-3p mimic, miR-3059-3p inhibitor, DNA2 siRNA, and DNA2 plasmid. Immunoblotting was used to detect DNA repair proteins. Results Low levels of miR-3059-3p and high levels of DNA2 were observed in RR cells. Colony formation and apoptosis assays revealed that miR-3059-3p targeted DNA2 to regulate radioresistance. Immunoblotting revealed that miR-3059-3p regulated the homologous recombination (HR) pathway (Rad51 and Rad52) but not the nonhomologous end joining pathway (ku70 and ku80). Conclusion Downregulation of DNA2 via miR-3059-3p enhanced the radiosensitivity of GBM cells through the inhibition of the HR pathway.
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25
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Li L, Zhou J, Dong X, Liao Q, Zhou D, Zhou Y. Dendritic cell vaccines for glioblastoma fail to complete clinical translation: Bottlenecks and potential countermeasures. Int Immunopharmacol 2022; 109:108929. [PMID: 35700581 DOI: 10.1016/j.intimp.2022.108929] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/20/2022] [Accepted: 06/05/2022] [Indexed: 11/29/2022]
Abstract
Glioblastoma (GBM) is a heterogeneous and invasive WHO grade IV brain tumor. Patients with GBM have a median overall survival (OS) of only 14 to 17 months when treated with surgical resection and chemoradiation. As one of the most promising anti-tumor immunotherapies, dendritic cell (DC) vaccines have demonstrated good efficacy, safety, and tolerability in many clinical trials. However, to date, no Phase III clinical trial has achieved positive endpoints and truly implement clinical development and transformation. Moreover, the survival benefits of DC vaccines for patients with GBM seem to have a delayed effect; therefore, we urgently require strategies to optimize DC vaccines to advance the time point of its survival benefits. Here, we discuss the latest clinical trial progress of DC vaccines in GBM and summarize the benefits and drawbacks of various vaccine design options, as well as the challenges faced in clinical translation. Moreover, we target future combination therapy strategies for DC vaccines in GBM, which provides a new perspective for comprehensively understanding the effectiveness, limitations, and new directions of the development of DC vaccines.
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Affiliation(s)
- Luohong Li
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China; Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China; Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
| | - Jing Zhou
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China; Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China; Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
| | - Xueting Dong
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China; Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China; Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
| | - Qianjin Liao
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
| | - Dongbo Zhou
- Department of Geriatric, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China, Hunan 410008, China.
| | - Yanhong Zhou
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China; Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China; Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China.
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26
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Ellingson BM, Gerstner ER, Lassman AB, Chung C, Colman H, Cole PE, Leung D, Allen JE, Ahluwalia MS, Boxerman J, Brown M, Goldin J, Nduom E, Hassan I, Gilbert MR, Mellinghoff IK, Weller M, Chang S, Arons D, Meehan C, Selig W, Tanner K, Alfred Yung WK, van den Bent M, Wen PY, Cloughesy TF. Hypothetical generalized framework for a new imaging endpoint of therapeutic activity in early phase clinical trials in brain tumors. Neuro Oncol 2022; 24:1219-1229. [PMID: 35380705 PMCID: PMC9340639 DOI: 10.1093/neuonc/noac086] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Imaging response assessment is a cornerstone of patient care and drug development in oncology. Clinicians/clinical researchers rely on tumor imaging to estimate the impact of new treatments and guide decision making for patients and candidate therapies. This is important in brain cancer, where associations between tumor size/growth and emerging neurological deficits are strong. Accurately measuring the impact of a new therapy on tumor growth early in clinical development, where patient numbers are small, would be valuable for decision making regarding late-stage development activation. Current attempts to measure the impact of a new therapy have limited influence on clinical development, as determination of progression, stability or response does not currently account for individual tumor growth kinetics prior to the initiation of experimental therapies. Therefore, we posit that imaging-based response assessment, often used as a tool for estimating clinical effect, is incomplete as it does not adequately account for growth trajectories or biological characteristics of tumors prior to the introduction of an investigational agent. Here, we propose modifications to the existing framework for evaluating imaging assessment in primary brain tumors that will provide a more reliable understanding of treatment effects. Measuring tumor growth trajectories prior to a given intervention may allow us to more confidently conclude whether there is an anti-tumor effect. This updated approach to imaging-based tumor response assessment is intended to improve our ability to select candidate therapies for later-stage development, including those that may not meet currently sought thresholds for "response" and ultimately lead to identification of effective treatments.
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Affiliation(s)
- Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Elizabeth R Gerstner
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew B Lassman
- Division of Neuro-Oncology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, NewYork-Presbyterian Hospital, New York, New York, USA
| | - Caroline Chung
- University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Howard Colman
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | | | - David Leung
- Bristol Myers Squibb, Princeton, New Jersey, USA
| | | | | | - Jerrold Boxerman
- Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Matthew Brown
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Jonathan Goldin
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Edjah Nduom
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Islam Hassan
- Servier Pharmaceuticals, Boston, Massachusetts, USA
| | - Mark R Gilbert
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ingo K Mellinghoff
- Department of Neurology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Switzerland
| | - Susan Chang
- Division of Neuro-Oncology, University of California San Francisco, San Francisco, California, USA
| | - David Arons
- National Brain Tumor Society, Newton, Massachusetts, USA
| | - Clair Meehan
- National Brain Tumor Society, Newton, Massachusetts, USA
| | | | - Kirk Tanner
- National Brain Tumor Society, Newton, Massachusetts, USA
| | - W K Alfred Yung
- University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Martin van den Bent
- Brain Tumor Center at Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patrick Y Wen
- Dana Farber Cancer Institute, Harvard University, Boston, Massachusetts, USA
| | - Timothy F Cloughesy
- UCLA Neuro Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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27
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Bagley SJ, Kothari S, Rahman R, Lee EQ, Dunn GP, Galanis E, Chang SM, Burt Nabors L, Ahluwalia MS, Stupp R, Mehta MP, Reardon DA, Grossman SA, Sulman EP, Sampson JH, Khagi S, Weller M, Cloughesy TF, Wen PY, Khasraw M. Glioblastoma Clinical Trials: Current Landscape and Opportunities for Improvement. Clin Cancer Res 2022; 28:594-602. [PMID: 34561269 PMCID: PMC9044253 DOI: 10.1158/1078-0432.ccr-21-2750] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/29/2021] [Accepted: 09/14/2021] [Indexed: 11/16/2022]
Abstract
Therapeutic advances for glioblastoma have been minimal over the past 2 decades. In light of the multitude of recent phase III trials that have failed to meet their primary endpoints following promising preclinical and early-phase programs, a Society for Neuro-Oncology Think Tank was held in November 2020 to prioritize areas for improvement in the conduct of glioblastoma clinical trials. Here, we review the literature, identify challenges related to clinical trial eligibility criteria and trial design in glioblastoma, and provide recommendations from the Think Tank. In addition, we provide a data-driven context with which to frame this discussion by analyzing key study design features of adult glioblastoma clinical trials listed on ClinicalTrials.gov as "recruiting" or "not yet recruiting" as of February 2021.
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Affiliation(s)
- Stephen J. Bagley
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Shawn Kothari
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rifaquat Rahman
- Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Eudocia Q. Lee
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gavin P. Dunn
- Department of Neurological Surgery, Washington University School of Medicine, St Louis, Missouri
| | | | - Susan M. Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California
| | - Louis Burt Nabors
- Division of Neuro-oncology, Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Manmeet S. Ahluwalia
- Department of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Roger Stupp
- Department of Medicine, Northwestern University, Chicago, Illinois
| | - Minesh P. Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - David A. Reardon
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Stuart A. Grossman
- Department of Oncology, Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland
| | - Erik P. Sulman
- Department of Radiation Oncology, NYU Grossman School of Medicine, New York, New York
| | - John H. Sampson
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Simon Khagi
- Division of Hematology/Oncology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Timothy F. Cloughesy
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Patrick Y. Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mustafa Khasraw
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
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28
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Mahmoud AB, Ajina R, Aref S, Darwish M, Alsayb M, Taher M, AlSharif SA, Hashem AM, Alkayyal AA. Advances in immunotherapy for glioblastoma multiforme. Front Immunol 2022; 13:944452. [PMID: 36311781 PMCID: PMC9597698 DOI: 10.3389/fimmu.2022.944452] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/23/2022] [Indexed: 02/05/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the most common and aggressive malignant brain tumor of the central nervous system and has a very poor prognosis. The current standard of care for patients with GBM involves surgical resection, radiotherapy, and chemotherapy. Unfortunately, conventional therapies have not resulted in significant improvements in the survival outcomes of patients with GBM; therefore, the overall mortality rate remains high. Immunotherapy is a type of cancer treatment that helps the immune system to fight cancer and has shown success in different types of aggressive cancers. Recently, healthcare providers have been actively investigating various immunotherapeutic approaches to treat GBM. We reviewed the most promising immunotherapy candidates for glioblastoma that have achieved encouraging results in clinical trials, focusing on immune checkpoint inhibitors, oncolytic viruses, nonreplicating viral vectors, and chimeric antigen receptor (CAR) immunotherapies.
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Affiliation(s)
- Ahmad Bakur Mahmoud
- College of Applied Medical Sciences, Taibah University, Almadinah Almunwarah, Saudi Arabia
- Strategic Research and Innovation Laboratories, Taibah University, Almadinah Almunwarah, Saudi Arabia
- King Abdullah International Medical Research Centre, King Saud University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- *Correspondence: Ahmad Bakur Mahmoud, ; Almohanad A. Alkayyal,
| | - Reham Ajina
- King Abdullah International Medical Research Centre, King Saud University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Sarah Aref
- King Abdullah International Medical Research Centre, King Saud University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Manar Darwish
- Strategic Research and Innovation Laboratories, Taibah University, Almadinah Almunwarah, Saudi Arabia
| | - May Alsayb
- College of Applied Medical Sciences, Taibah University, Almadinah Almunwarah, Saudi Arabia
| | - Mustafa Taher
- College of Applied Medical Sciences, Taibah University, Almadinah Almunwarah, Saudi Arabia
- Strategic Research and Innovation Laboratories, Taibah University, Almadinah Almunwarah, Saudi Arabia
| | - Shaker A. AlSharif
- King Fahad Hospital, Ministry of Health, Almadinah Almunwarah, Saudi Arabia
| | - Anwar M. Hashem
- Vaccines and Immunotherapy Unit, King Fahd Medical Research Center; King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Almohanad A. Alkayyal
- Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia
- Immunology Research Program, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
- *Correspondence: Ahmad Bakur Mahmoud, ; Almohanad A. Alkayyal,
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29
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Three-dimensional culture models to study glioblastoma - current trends and future perspectives. Curr Opin Pharmacol 2021; 61:91-97. [PMID: 34656940 DOI: 10.1016/j.coph.2021.08.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 01/02/2023]
Abstract
Glioblastoma (GBM) is the most prevalent form of primary malignant brain tumor in adults and remains almost invariably lethal owing to its aggressive and invasive nature. There have only been marginal improvements in its bleak survival rate of 12-15 months over the last four decades. The lack of preclinical models that efficiently recapitulate tumor biology and the tumor microenvironment is also in part responsible for the slow phase of translational GBM research. Emerging three-dimensional (3D) organoids and cell culture systems offer new and innovative possibilities for GBM modelling. These 3D models find their application to engineer the disease, screen drugs, establishing live biobank, and explore personalized therapy. Furthermore, these models can also be genetically modified by using the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 technology, which would allow one to study the specific role of key genes associated with gliomagenesis. Establishment of a coculture system with GBM cells to understand its invasive behavior is yet another major application of this model. Despite these merits, the organoid models also have certain limitations, including the absence of immune responses and vascular systems. In recent years, major progress has been made in the development and refinement of 3D models of GBM. In this review, we intend to highlight these recent advances and the potential future implications of this rapidly evolving field, which should facilitate a better understanding of GBM biology.
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30
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Degorre C, Tofilon P, Camphausen K, Mathen P. Bench to bedside radiosensitizer development strategy for newly diagnosed glioblastoma. Radiat Oncol 2021; 16:191. [PMID: 34583727 PMCID: PMC8480070 DOI: 10.1186/s13014-021-01918-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/15/2021] [Indexed: 11/10/2022] Open
Abstract
Glioblastoma is the most common primary brain malignancy and carries with it a poor prognosis. New agents are urgently needed, however nearly all Phase III trials of GBM patients of the past 25 years have failed to demonstrate improvement in outcomes. In 2019, the National Cancer Institute Clinical Trials and Translational Research Advisory Committee (CTAC) Glioblastoma Working Group (GBM WG) identified 5 broad areas of research thought to be important in the development of new herapeutics for GBM. Among those was optimizing radioresponse for GBM in situ. One such strategy to increase radiation efficacy is the addition of a radiosensitizer to improve the therapeutic ratio by enhancing tumor sensitivity while ideally having minimal to no effect on normal tissue. Historically the majority of trials using radiosensitizers have been unsuccessful, but they provide important guidance in what is required to develop agents more efficiently. Improved target selection is essential for a drug to provide maximal benefit, and once that target is identified it must be validated through pre-clinical studies. Careful selection of appropriate in vitro and in vivo models to demonstrate increased radiosensitivity and suitable bioavailability are then necessary to prove that a drug warrants advancement to clinical investigation. Once investigational agents are validated pre-clinically, patient trials require consistency both in terms of planning study design as well as reporting efficacy and toxicity in order to assess the potential benefit of the drug. Through this paper we hope to outline strategies for developing effective radiosensitizers against GBM using as models the examples of XPO1 inhibitors and HDAC inhibitors developed from our own lab.
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Affiliation(s)
- Charlotte Degorre
- Radiation Oncology Branch, National Cancer Institute, Bldg. 10, Rm B2-3500, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Philip Tofilon
- Radiation Oncology Branch, National Cancer Institute, Bldg. 10, Rm B2-3500, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Kevin Camphausen
- Radiation Oncology Branch, National Cancer Institute, Bldg. 10, Rm B2-3500, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Peter Mathen
- Radiation Oncology Branch, National Cancer Institute, Bldg. 10, Rm B2-3500, 9000 Rockville Pike, Bethesda, MD, 20892, USA.
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31
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Wang Y, Chen W, Shi Y, Yan C, Kong Z, Wang Y, Wang Y, Ma W. Imposing Phase II and Phase III Clinical Trials of Targeted Drugs for Glioblastoma: Current Status and Progress. Front Oncol 2021; 11:719623. [PMID: 34568049 PMCID: PMC8458950 DOI: 10.3389/fonc.2021.719623] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/24/2021] [Indexed: 12/21/2022] Open
Abstract
The most common primary intracranial tumor is glioma, among which glioblastoma (GBM) has the worst prognosis. Because of the high degree of malignancy of GBM and frequent recurrence after surgery, postoperative therapy, including chemotherapy, radiotherapy, targeted therapy, and immunotherapy, is particularly important. A wide variety of targeted drugs have undergone phase III clinical trials for patients with GBM, but these drugs do not work for all patients, and few patients in these trials have prolonged overall survival. In this review, some imposing phase III clinical trials of targeted drugs for glioma are introduced, and some prospective phase II clinical trials that have been completed or are in progress are summarized. In addition, the mechanisms of these drugs are briefly introduced, and deficiencies of these clinical trials are analyzed. This review aims to provide a comprehensive overview of current research on targeted drugs for glioma to clarify future research directions.
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Affiliation(s)
- Yaning Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanqi Chen
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yixin Shi
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chengrui Yan
- Department of Neurosurgery, Peking University International Hospital, Beijing, China
| | - Ziren Kong
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuekun Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenbin Ma
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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32
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Kong BY, Carter C, Nowak AK, Hovey E, Lwin Z, Haghighi N, Gan HK, Sim HW, Ziegler DS, Barton K, Parkinson J, Leonard R, Khasraw M, Foote M. Barriers and potential solutions to international collaboration in neuro-oncology clinical trials: Challenges from the Australian perspective. Asia Pac J Clin Oncol 2021; 18:259-266. [PMID: 34166569 PMCID: PMC9292370 DOI: 10.1111/ajco.13606] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/27/2021] [Indexed: 11/29/2022]
Abstract
AIM The neuro-oncology community in Australia is well positioned to collaborate internationally, with a motivated trials group, strong regulatory bodies and an attractive fiscal environment. We sought to identify gaps in the Australian neuro-oncology clinical trials landscape and describe strategies to increase international trial access in Australia. METHODS We searched clinical trial registries to identify active adult primary brain cancer trials. We compared the participation rate and phase of these trials between tumour types and countries. A survey was distributed to the Cooperative Trials Group for Neuro-Oncology membership to identify barriers and solutions to effective international collaboration. RESULTS Globally, 307 trials for adult primary brain cancers were identified. These included 50% pharmaceutical agents, 18% cellular therapies and 9% radiation therapy. Twelve adult primary brain cancer trials were actively recruiting in Australia at the time the survey was sent out. There were more early phase brain cancer trials (34%) compared with colorectal and breast cancer (21% and 24%, respectively). In Australia, 92% of brain cancer trials were involving pharmaceutical agents. The most commonly cited barrier was lack of funding for international trials (86%) and insufficient research time (75%). High ranking solutions included increasing the availability of funding for international trials and creating opportunities to develop personal relationships with collaborators. Accreditation of clinical research key performance indicators into practice (88%) and hospital accreditation (73%) also ranked highly. CONCLUSIONS Participation in international research in Australia could be improved by embedding clinical research targets into institutional funding, provision of funding for early phase studies and streamlining mutual ethics schemes.
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Affiliation(s)
- Benjamin Y Kong
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Department of Medical Oncology, Royal North Shore Hospital, St Leonards, Australia
| | - Candace Carter
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Anna K Nowak
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Department of Medical Oncology, Sir Charles Gairdner Hospital, Perth, Australia
| | - Elizabeth Hovey
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Nelune Comprehensive Cancer Centre, Randwick, Australia.,Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Zarnie Lwin
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Royal Brisbane and Women's Hospital, Princess Alexandra Hospital, Brisbane, Australia
| | - Neda Haghighi
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Department of Radiation Oncology, Peter MacCallum Cancer Centre, Parkville, Australia
| | - Hui K Gan
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Department of Medical Oncology, Austin Hospital, Melbourne, Australia.,Cancer Therapies and Biology Group, Centre of Research Excellence in Brain Tumours, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Melbourne, Australia.,La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia.,Department of Medicine, University of Melbourne, Heidelberg, Victoria, Australia
| | - Hao-Wen Sim
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Kinghorn Cancer Centre, Darlinghurst, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, Australia.,Chris O'Brien Lifehouse, Sydney, New South Wales, Australia
| | - David S Ziegler
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Children's Cancer Institute, University of New South Wales, Australia and Kids Cancer Centre, Sydney Children's Hospital, Sydney, Australia.,School of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Kirston Barton
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Jonathon Parkinson
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Department of Medical Oncology, Royal North Shore Hospital, St Leonards, Australia
| | - Robyn Leonard
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Mustafa Khasraw
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Matthew Foote
- Cooperative Trials Group for Neuro-Oncology, National Health and Medical Research Council Clinical Trials Centre, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Royal Brisbane and Women's Hospital, Princess Alexandra Hospital, Brisbane, Australia.,School of Medicine, University of Queensland, Brisbane, Australia
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Halatsch ME, Kast RE, Karpel-Massler G, Mayer B, Zolk O, Schmitz B, Scheuerle A, Maier L, Bullinger L, Mayer-Steinacker R, Schmidt C, Zeiler K, Elshaer Z, Panther P, Schmelzle B, Hallmen A, Dwucet A, Siegelin MD, Westhoff MA, Beckers K, Bouche G, Heiland T. A phase Ib/IIa trial of 9 repurposed drugs combined with temozolomide for the treatment of recurrent glioblastoma: CUSP9v3. Neurooncol Adv 2021; 3:vdab075. [PMID: 34377985 PMCID: PMC8349180 DOI: 10.1093/noajnl/vdab075] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Background The dismal prognosis of glioblastoma (GBM) may be related to the ability of GBM cells to develop mechanisms of treatment resistance. We designed a protocol called Coordinated Undermining of Survival Paths combining 9 repurposed non-oncological drugs with metronomic temozolomide—version 3—(CUSP9v3) to address this issue. The aim of this phase Ib/IIa trial was to assess the safety of CUSP9v3. Methods Ten adults with histologically confirmed GBM and recurrent or progressive disease were included. Treatment consisted of aprepitant, auranofin, celecoxib, captopril, disulfiram, itraconazole, minocycline, ritonavir, and sertraline added to metronomic low-dose temozolomide. Treatment was continued until toxicity or progression. Primary endpoint was dose-limiting toxicity defined as either any unmanageable grade 3–4 toxicity or inability to receive at least 7 of the 10 drugs at ≥ 50% of the per-protocol doses at the end of the second treatment cycle. Results One patient was not evaluable for the primary endpoint (safety). All 9 evaluable patients met the primary endpoint. Ritonavir, temozolomide, captopril, and itraconazole were the drugs most frequently requiring dose modification or pausing. The most common adverse events were nausea, headache, fatigue, diarrhea, and ataxia. Progression-free survival at 12 months was 50%. Conclusions CUSP9v3 can be safely administered in patients with recurrent GBM under careful monitoring. A randomized phase II trial is in preparation to assess the efficacy of the CUSP9v3 regimen in GBM.
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Affiliation(s)
| | | | | | - Benjamin Mayer
- Institute for Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Oliver Zolk
- Department of Clinical Pharmacology, Ulm University Hospital, Ulm, Germany
| | - Bernd Schmitz
- Division of Neuroradiology, Department of Diagnostic and Interventional Radiology, Ulm University Hospital, Ulm, Germany
| | - Angelika Scheuerle
- Division of Neuropathology, Department of Pathology, Ulm University Hospital, Ulm, Germany
| | - Ludwig Maier
- Central Pharmacy, Ulm University Hospital, Ulm, Germany
| | - Lars Bullinger
- Division of Hematology and Oncology, Department of Internal Medicine, Ulm University Hospital, Ulm, Germany
| | - Regine Mayer-Steinacker
- Division of Hematology and Oncology, Department of Internal Medicine, Ulm University Hospital, Ulm, Germany
| | - Carl Schmidt
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
| | - Katharina Zeiler
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
| | - Ziad Elshaer
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
| | - Patricia Panther
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
| | - Birgit Schmelzle
- Institute of Experimental Cancer Research, Ulm University Hospital, Ulm, Germany
| | - Anke Hallmen
- Division of Hematology and Oncology, Department of Internal Medicine, Ulm University Hospital, Ulm, Germany
| | - Annika Dwucet
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
| | - Markus D Siegelin
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Mike-Andrew Westhoff
- Department of Pediatric and Adolescent Medicine, Basic Research Division, Ulm University Hospital, Ulm, Germany
| | | | | | - Tim Heiland
- Department of Neurosurgery, Ulm University Hospital, Ulm, Germany
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Cruz Da Silva E, Mercier MC, Etienne-Selloum N, Dontenwill M, Choulier L. A Systematic Review of Glioblastoma-Targeted Therapies in Phases II, III, IV Clinical Trials. Cancers (Basel) 2021; 13:1795. [PMID: 33918704 PMCID: PMC8069979 DOI: 10.3390/cancers13081795] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/19/2021] [Accepted: 03/26/2021] [Indexed: 02/07/2023] Open
Abstract
Glioblastoma (GBM), the most frequent and aggressive glial tumor, is currently treated as first line by the Stupp protocol, which combines, after surgery, radiotherapy and chemotherapy. For recurrent GBM, in absence of standard treatment or available clinical trials, various protocols including cytotoxic drugs and/or bevacizumab are currently applied. Despite these heavy treatments, the mean overall survival of patients is under 18 months. Many clinical studies are underway. Based on clinicaltrials.org and conducted up to 1 April 2020, this review lists, not only main, but all targeted therapies in phases II-IV of 257 clinical trials on adults with newly diagnosed or recurrent GBMs for the last twenty years. It does not involve targeted immunotherapies and therapies targeting tumor cell metabolism, that are well documented in other reviews. Without surprise, the most frequently reported drugs are those targeting (i) EGFR (40 clinical trials), and more generally tyrosine kinase receptors (85 clinical trials) and (ii) VEGF/VEGFR (75 clinical trials of which 53 involving bevacizumab). But many other targets and drugs are of interest. They are all listed and thoroughly described, on an one-on-one basis, in four sections related to targeting (i) GBM stem cells and stem cell pathways, (ii) the growth autonomy and migration, (iii) the cell cycle and the escape to cell death, (iv) and angiogenesis.
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Affiliation(s)
- Elisabete Cruz Da Silva
- CNRS, UMR 7021, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, 67401 Illkirch, France; (E.C.D.S.); (M.-C.M.); (N.E.-S.); (M.D.)
| | - Marie-Cécile Mercier
- CNRS, UMR 7021, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, 67401 Illkirch, France; (E.C.D.S.); (M.-C.M.); (N.E.-S.); (M.D.)
| | - Nelly Etienne-Selloum
- CNRS, UMR 7021, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, 67401 Illkirch, France; (E.C.D.S.); (M.-C.M.); (N.E.-S.); (M.D.)
- Service de Pharmacie, Institut de Cancérologie Strasbourg Europe, 67200 Strasbourg, France
| | - Monique Dontenwill
- CNRS, UMR 7021, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, 67401 Illkirch, France; (E.C.D.S.); (M.-C.M.); (N.E.-S.); (M.D.)
| | - Laurence Choulier
- CNRS, UMR 7021, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, 67401 Illkirch, France; (E.C.D.S.); (M.-C.M.); (N.E.-S.); (M.D.)
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35
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Khan MB, Ruggieri R, Jamil E, Tran NL, Gonzalez C, Mugridge N, Gao S, MacDiarmid J, Brahmbhatt H, Sarkaria JN, Boockvar J, Symons M. Nanocell-mediated delivery of miR-34a counteracts temozolomide resistance in glioblastoma. Mol Med 2021; 27:28. [PMID: 33765907 PMCID: PMC7993499 DOI: 10.1186/s10020-021-00293-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 03/17/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Glioblastoma is the most common primary brain tumor and remains uniformly fatal, highlighting the dire need for developing effective therapeutics. Significant intra- and inter-tumor heterogeneity and inadequate delivery of therapeutics across blood-brain barrier continue to be significant impediments towards developing therapies which can significantly enhance survival. We hypothesize that microRNAs have the potential to serve as effective therapeutics for glioblastoma as they modulate the activity of multiple signaling pathways, and hence can counteract heterogeneity if successfully delivered. METHODS Using a computational approach, we identified microRNA-34a as a microRNA that maximally reduces the activation status of the three core signaling networks (the receptor tyrosine kinase, p53 and Rb networks) that have been found to be deregulated in most glioblastoma tumors. Glioblastoma cultures were transfected with microRNA-34a or control microRNA to assess biological function and therapeutic potential in vitro. Nanocells were derived from genetically modified bacteria and loaded with microRNA-34a for intravenous administration to orthotopic patient-derived glioblastoma xenografts in mice. RESULTS Overexpression of microRNA-34a strongly reduced the activation status of the three core signaling networks. microRNA-34a transfection also inhibited the survival of multiple established glioblastoma cell lines, as well as primary patient-derived xenograft cultures representing the proneural, mesenchymal and classical subtypes. Transfection of microRNA-34a enhanced temozolomide (TMZ) response in in vitro cultures of glioblastoma cells with primary TMZ sensitivity, primary TMZ resistance and acquired TMZ resistance. Mechanistically, microRNA-34a downregulated multiple therapeutic resistance genes which are associated with worse survival in glioblastoma patients and are enriched in specific tumor spatial compartments. Importantly, intravenous administration of nanocells carrying miR-34a and targeted to epidermal growth factor receptor (EGFR) strongly enhanced TMZ sensitivity in an orthotopic patient-derived xenograft mouse model of glioblastoma. CONCLUSIONS Targeted bacterially-derived nanocells are an effective vehicle for the delivery of microRNA-34a to glioblastoma tumors. microRNA-34a inhibits survival and strongly sensitizes a wide range of glioblastoma cell cultures to TMZ, suggesting that combination therapy of TMZ with microRNA-34a loaded nanocells may serve as a novel therapeutic approach for the treatment of glioblastoma tumors.
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Affiliation(s)
- Muhammad Babar Khan
- The Elmezzi Graduate School of Molecular Medicine, Northwell Health, Manhasset, NY, USA.
- Karches Center for Oncology, The Institute of Molecular Medicine, The Feinstein Institutes for Medical Research at Northwell Health, 350 Community Drive, Manhasset, NY, 11030, USA.
| | - Rosamaria Ruggieri
- Karches Center for Oncology, The Institute of Molecular Medicine, The Feinstein Institutes for Medical Research at Northwell Health, 350 Community Drive, Manhasset, NY, 11030, USA
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Eesha Jamil
- Karches Center for Oncology, The Institute of Molecular Medicine, The Feinstein Institutes for Medical Research at Northwell Health, 350 Community Drive, Manhasset, NY, 11030, USA
| | - Nhan L Tran
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Camila Gonzalez
- Karches Center for Oncology, The Institute of Molecular Medicine, The Feinstein Institutes for Medical Research at Northwell Health, 350 Community Drive, Manhasset, NY, 11030, USA
| | | | | | | | | | - Jann N Sarkaria
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - John Boockvar
- Brain Tumor Center, Lenox Hill Hospital, New York, NY, USA
- Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Marc Symons
- Karches Center for Oncology, The Institute of Molecular Medicine, The Feinstein Institutes for Medical Research at Northwell Health, 350 Community Drive, Manhasset, NY, 11030, USA
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
- Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
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36
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Balasubramanian A, Gunjur A, Hafeez U, Menon S, Cher LM, Parakh S, Gan HK. Inefficiencies in phase II to phase III transition impeding successful drug development in glioblastoma. Neurooncol Adv 2021; 3:vdaa171. [PMID: 33543145 PMCID: PMC7850118 DOI: 10.1093/noajnl/vdaa171] [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] [Indexed: 12/14/2022] Open
Abstract
Background Improving outcomes of patients with glioblastoma (GBM) represents a significant challenge in neuro-oncology. We undertook a systematic review of key parameters of phase II and III trials in GBM to identify and quantify the impact of trial design on this phenomenon. Methods Studies between 2005 and 2019 inclusive were identified though MEDLINE search and manual bibliography searches. Phase II studies (P2T) were restricted to those referenced by the corresponding phase III trials (P3T). Clinical and statistical characteristics were extracted. For each P3T, corresponding P2T data was “optimally matched,” where same drug was used in similar schedule and similar population; “suboptimally matched” if dis-similar schedule and/or treatment setting; or “lacking.” Phase II/III transition data were compared by Pearson Correlation, Fisher’s exact or chi-square testing. Results Of 20 P3Ts identified, 6 (30%) lacked phase II data. Of the remaining 14 P3T, 9 had 1 prior P2T, 4 had 2 P2T, and 1 had 3 P2T, for a total of 20 P3T-P2T pairs (called dyads). The 13 “optimally matched” dyads showed strong concordance for mPFS (r2 = 0.95, P < .01) and mOS (r2 = 0.84, P < .01), while 7 “suboptimally matched” dyads did not (P > .05). Overall, 7 P3Ts underwent an ideal transition from P2T to P3T. “Newly diagnosed” P2Ts with mPFS < 14 months and/or mOS< 22 months had subsequent negative P3Ts. “Recurrent” P2Ts with mPFS < 6 months and mOS< 12 months also had negative P3Ts. Conclusion Our findings highlight the critical role of optimally designed phase II trials in informing drug development for GBM.
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Affiliation(s)
- Adithya Balasubramanian
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia
| | - Ashray Gunjur
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia
| | - Umbreen Hafeez
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia.,Olivia Newton-John Cancer Research Institute and La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia
| | - Siddharth Menon
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia.,Olivia Newton-John Cancer Research Institute and La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia
| | - Lawrence M Cher
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia
| | - Sagun Parakh
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia.,Olivia Newton-John Cancer Research Institute and La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia
| | - Hui Kong Gan
- Medical Oncology Department, Olivia Newton-John Cancer Wellness and Research Centre, Austin Hospital, Heidelberg, Victoria, Australia.,Olivia Newton-John Cancer Research Institute and La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia.,Department of Medicine, University of Melbourne, Heidelberg, Victoria, Australia
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37
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Finch A, Solomou G, Wykes V, Pohl U, Bardella C, Watts C. Advances in Research of Adult Gliomas. Int J Mol Sci 2021; 22:ijms22020924. [PMID: 33477674 PMCID: PMC7831916 DOI: 10.3390/ijms22020924] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 01/03/2023] Open
Abstract
Diffuse gliomas are the most frequent brain tumours, representing 75% of all primary malignant brain tumours in adults. Because of their locally aggressive behaviour and the fact that they cannot be cured by current therapies, they represent one of the most devastating cancers. The present review summarises recent advances in our understanding of glioma development and progression by use of various in vitro and in vivo models, as well as more complex techniques including cultures of 3D organoids and organotypic slices. We discuss the progress that has been made in understanding glioma heterogeneity, alteration in gene expression and DNA methylation, as well as advances in various in silico models. Lastly current treatment options and future clinical trials, which aim to improve early diagnosis and disease monitoring, are also discussed.
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Affiliation(s)
- Alina Finch
- Institute of Cancer Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; (A.F.); (G.S.); (V.W.)
| | - Georgios Solomou
- Institute of Cancer Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; (A.F.); (G.S.); (V.W.)
- School of Medicine, Keele University, Staffordshire ST5 5NL, UK
| | - Victoria Wykes
- Institute of Cancer Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; (A.F.); (G.S.); (V.W.)
- Department of Neurosurgery, University Hospital Birmingham, Birmingham B15 2WB, UK
| | - Ute Pohl
- Department of Cellular Pathology, University Hospital Birmingham, Birmingham B15 2WB, UK;
| | - Chiara Bardella
- Institute of Cancer Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; (A.F.); (G.S.); (V.W.)
- Correspondence: (C.B.); (C.W.)
| | - Colin Watts
- Institute of Cancer Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; (A.F.); (G.S.); (V.W.)
- Department of Neurosurgery, University Hospital Birmingham, Birmingham B15 2WB, UK
- Correspondence: (C.B.); (C.W.)
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38
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Ali MY, Oliva CR, Noman ASM, Allen BG, Goswami PC, Zakharia Y, Monga V, Spitz DR, Buatti JM, Griguer CE. Radioresistance in Glioblastoma and the Development of Radiosensitizers. Cancers (Basel) 2020; 12:E2511. [PMID: 32899427 PMCID: PMC7564557 DOI: 10.3390/cancers12092511] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/24/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023] Open
Abstract
Ionizing radiation is a common and effective therapeutic option for the treatment of glioblastoma (GBM). Unfortunately, some GBMs are relatively radioresistant and patients have worse outcomes after radiation treatment. The mechanisms underlying intrinsic radioresistance in GBM has been rigorously investigated over the past several years, but the complex interaction of the cellular molecules and signaling pathways involved in radioresistance remains incompletely defined. A clinically effective radiosensitizer that overcomes radioresistance has yet to be identified. In this review, we discuss the current status of radiation treatment in GBM, including advances in imaging techniques that have facilitated more accurate diagnosis, and the identified mechanisms of GBM radioresistance. In addition, we provide a summary of the candidate GBM radiosensitizers being investigated, including an update of subjects enrolled in clinical trials. Overall, this review highlights the importance of understanding the mechanisms of GBM radioresistance to facilitate the development of effective radiosensitizers.
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Affiliation(s)
- Md Yousuf Ali
- Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa City, IA 52242, USA;
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - Claudia R. Oliva
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - Abu Shadat M. Noman
- Department of Biochemistry and Molecular Biology, The University of Chittagong, Chittagong 4331, Bangladesh;
- Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada
| | - Bryan G. Allen
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - Prabhat C. Goswami
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - Yousef Zakharia
- Department of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA; (Y.Z.); (V.M.)
| | - Varun Monga
- Department of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA; (Y.Z.); (V.M.)
| | - Douglas R. Spitz
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - John M. Buatti
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
| | - Corinne E. Griguer
- Free Radical & Radiation Biology Program, Department of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA; (C.R.O.); (B.G.A.); (P.C.G.); (D.R.S.)
- Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA;
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39
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Jin H, Yin G. Bayesian enhancement two-stage design with error control for phase II clinical trials. Stat Med 2020; 39:4452-4465. [PMID: 32854163 DOI: 10.1002/sim.8734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 07/23/2020] [Accepted: 07/24/2020] [Indexed: 11/07/2022]
Abstract
Phase II clinical trials make a critical decision of go or no-go to a subsequent phase III studies. A considerable proportion of promising drugs identified in phase II trials fail the confirmative efficacy test in phase III. Recognizing the low posterior probabilities of H1 when accepting the drug under Simon's two-stage design, the Bayesian enhancement two-stage (BET) design is proposed to strengthen the passing criterion. Under the BET design, the lengths of highest posterior density (HPD) intervals, posterior probabilities of H0 and H1 are computed to calibrate the design parameters, aiming to improve the stability of the trial characteristics and strengthen the evidence for proceeding the drug development forward. However, from a practical perspective, the HPD interval length lacks transparency and interpretability. To circumvent this problem, we propose the BET design with error control (BETEC) by replacing the HPD interval length with the posterior error rate. The BETEC design can achieve a balance between the posterior false positive rate and false negative rate and, more importantly, it has an intuitive and clear interpretation. We compare our method with the BET design and Simon's design through extensive simulation studies. As an illustration, we further apply BETEC to two recent clinical trials, and investigate its performance in comparison with other competitive designs. Being both efficient and intuitive, the BETEC design can serve as an alternative toolbox for implementing phase II single-arm trials.
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Affiliation(s)
- Huaqing Jin
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Guosheng Yin
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
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Zhang C, Jin M, Zhao J, Chen J, Jin W. Organoid models of glioblastoma: advances, applications and challenges. Am J Cancer Res 2020; 10:2242-2257. [PMID: 32905502 PMCID: PMC7471358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 07/13/2020] [Indexed: 06/11/2023] Open
Abstract
The high mortality and poor clinical prognosis of glioblastoma multiforme (GBM) are concerns for many GBM patients as well as clinicians and researchers. The lack of a preclinical model that can easily be established and accurately recapitulate tumour biology and the tumour microenvironment further complicates GBM research and its clinical translation. GBM organoids (GBOs) are promising high-fidelity models that can be applied to model the disease, develop drugs, establish a living biobank, mimic therapeutic responses and explore personalized therapy. However, GBO models face some challenges, including deficient immune responses, absent vascular system and controversial reliability. In recent years, considerable progress has been achieved in the improvement of brain tumour organoid models and research based on such models. In addition to the traditional cultivation method, these models can be cultivated via genetic engineering and co-culture of cerebral organoids and GBM. In this review, we summarize the applications of GBM organoids and related advances and provide our opinions on associated limitations and challenges.
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Affiliation(s)
- Chaocai Zhang
- Department of Neurosurgery, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical UniversityHaikou, PR China
| | - Mingzhu Jin
- Shanghai Jiao Tong University School of MedicineShanghai, PR China
| | - Jiannong Zhao
- Department of Neurosurgery, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical UniversityHaikou, PR China
| | - Juxiang Chen
- Department of Neurosurgery, Shanghai Institute of Neurosurgery, Changzheng Hospital, Second Military Medical UniversityShanghai, PR China
| | - Weilin Jin
- Key Laboratory for Thin Film and Microfabrication Technology of Ministry of Education, Department of Instrument Science and Engineering, Institute of Nano Biomedicine and Engineering, School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong UniversityShanghai, PR China
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Dekker LJM, Kannegieter NM, Haerkens F, Toth E, Kros JM, Steenhoff Hov DA, Fillebeen J, Verschuren L, Leenstra S, Ressa A, Luider TM. Multiomics profiling of paired primary and recurrent glioblastoma patient tissues. Neurooncol Adv 2020; 2:vdaa083. [PMID: 32793885 PMCID: PMC7415260 DOI: 10.1093/noajnl/vdaa083] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background Despite maximal therapy with surgery, chemotherapy, and radiotherapy, glioblastoma (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relates to the failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multiomics approach using transcriptomics, proteomics, and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation as part of ERBB4 signaling. A pathway tool has been developed to visualize and compare different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxinA (synaptogenesis) and afatinib (ERBB4 signaling). Afatinib is currently in clinical trials for GBM. Conclusions A large variation on all omics levels exists between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead, a multiomics approach offers the potential to identify affected pathways on the individual patient level and select treatment options.
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Affiliation(s)
- Lennard J M Dekker
- Department of Neurology, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | | | | | - Emma Toth
- Department of Neurology, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Johan M Kros
- Department of Pathology, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | | | | | - Lars Verschuren
- Department of Microbiology and Systems Biology, The Netherlands Organization for Applied Scientific Research (TNO), Zeist, The Netherlands
| | - Sieger Leenstra
- Department of Neurosurgery, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | | | - Theo M Luider
- Department of Neurology, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
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Brighi C, Reid L, Genovesi LA, Kojic M, Millar A, Bruce Z, White AL, Day BW, Rose S, Whittaker AK, Puttick S. Comparative study of preclinical mouse models of high-grade glioma for nanomedicine research: the importance of reproducing blood-brain barrier heterogeneity. Theranostics 2020; 10:6361-6371. [PMID: 32483457 PMCID: PMC7255036 DOI: 10.7150/thno.46468] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 04/30/2020] [Indexed: 12/22/2022] Open
Abstract
The clinical translation of new nanoparticle-based therapies for high-grade glioma (HGG) remains extremely poor. This has partly been due to the lack of suitable preclinical mouse models capable of replicating the complex characteristics of recurrent HGG (rHGG), namely the heterogeneous structural and functional characteristics of the blood-brain barrier (BBB). The goal of this study is to compare the characteristics of the tumor BBB of rHGG with two different mouse models of HGG, the ubiquitously used U87 cell line xenograft model and a patient-derived cell line WK1 xenograft model, in order to assess their suitability for nanomedicine research. Method: Structural MRI was used to assess the extent of BBB opening in mouse models with a fully developed tumor, and dynamic contrast enhanced MRI was used to obtain values of BBB permeability in contrast enhancing tumor. H&E and immunofluorescence staining were used to validate results obtained from the in vivo imaging studies. Results: The extent of BBB disruption and permeability in the contrast enhancing tumor was significantly higher in the U87 model than in rHGG. These values in the WK1 model are similar to those of rHGG. The U87 model is not infiltrative, has an entirely abnormal and leaky vasculature and it is not of glial origin. The WK1 model infiltrates into the non-neoplastic brain parenchyma, it has both regions with intact BBB and regions with leaky BBB and remains of glial origin. Conclusion: The WK1 mouse model more accurately reproduces the extent of BBB disruption, the level of BBB permeability and the histopathological characteristics found in rHGG patients than the U87 mouse model, and is therefore a more clinically relevant model for preclinical evaluations of emerging nanoparticle-based therapies for HGG.
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Muir M, Gopakumar S, Traylor J, Lee S, Rao G. Glioblastoma multiforme: novel therapeutic targets. Expert Opin Ther Targets 2020; 24:605-614. [PMID: 32394767 DOI: 10.1080/14728222.2020.1762568] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION The increasingly detailed genetic characterization of glioblastoma (GBM) has failed to translate into meaningful breakthroughs in treatment. This is likely to be attributed to molecular heterogeneity of GBM. However, the understanding of the tumor microenvironment in GBM has become more refined and has revealed a wealth of therapeutic targets that may enable the disruption of angiogenesis or immunosuppression. AREAS COVERED This review discusses the selective targeting of tumor-intrinsic pathways, therapies that target the GBM tumor microenvironment and relevant preclinical studies and their limitations. Relevant literature was derived from a PubMed search encompassing studies from 1989 to 2020. EXPERT OPINION Despite appropriate target engagement, attempts to directly inhibit oncogenic pathways in GBM have yielded little success. This is likely attributed to the molecular heterogeneity of GBM and the presence of redundant signaling that allow for accumulation of adaptive mutations and development of drug resistance. Subsequently, there has been a shift toward therapies modulating the pro-angiogenic, immunosuppressive tumor microenvironment in GBM. The non-transformed cells in the microenvironment which includes endothelial cells, myeloid cells, and T cells, are presumably genetically stable, less susceptible to heterogeneity, and easier to target. This approach offers the highest potential for a therapeutic breakthrough in GBM.
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Affiliation(s)
- Matthew Muir
- Department of Neurosurgery, Baylor College of Medicine , Houston, TX, USA
| | | | - Jeffrey Traylor
- Department of Neurosurgery, Baylor College of Medicine , Houston, TX, USA
| | - Sungho Lee
- Department of Neurosurgery, Baylor College of Medicine , Houston, TX, USA
| | - Ganesh Rao
- Department of Neurosurgery, Baylor College of Medicine , Houston, TX, USA.,Department of Neurosurgery, The University of Texas MD Anderson Cancer Center , Houston, TX, USA
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Brown NF, Ng SM, Brooks C, Coutts T, Holmes J, Roberts C, Elhussein L, Hoskin P, Maughan T, Blagden S, Mulholland P. A phase II open label, randomised study of ipilimumab with temozolomide versus temozolomide alone after surgery and chemoradiotherapy in patients with recently diagnosed glioblastoma: the Ipi-Glio trial protocol. BMC Cancer 2020; 20:198. [PMID: 32164579 PMCID: PMC7068928 DOI: 10.1186/s12885-020-6624-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 02/11/2020] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Median survival for patients with glioblastoma is less than a year. Standard treatment consists of surgical debulking if feasible followed by temozolomide chemo-radiotherapy. The immune checkpoint inhibitor ipilimumab targets cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and has shown clinical efficacy in preclinical models of glioblastoma. The aim of this study is to explore the addition of ipilimumab to standard therapy in patients with glioblastoma. METHODS/DESIGN Ipi-Glio is a phase II, open label, randomised study of ipilimumab with temozolomide (Arm A) versus temozolomide alone (Arm B) after surgery and chemoradiotherapy in patients with recently diagnosed glioblastoma. Planned accrual is 120 patients (Arm A: 80, Arm B: 40). Endpoints include overall survival, 18-month survival, 5-year survival, and adverse events. The trial is currently recruiting in seven centres in the United Kingdom. TRIAL REGISTRATION ISRCTN84434175. Registered 12 November 2018.
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Affiliation(s)
- Nicholas F Brown
- Department of Oncology, University College London Hospitals, 250 Euston Road, London, NW1 2PQ, UK
| | - Stasya M Ng
- Oncology Clinical Trials Office (OCTO), Department of Oncology, The University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK
| | - Claire Brooks
- Oncology Clinical Trials Office (OCTO), Department of Oncology, The University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK
| | - Tim Coutts
- Oncology Clinical Trials Office (OCTO), Department of Oncology, The University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK
| | - Jane Holmes
- Centre for Statistics in Medicine (CSM), University of Oxford, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD, UK
| | - Corran Roberts
- Centre for Statistics in Medicine (CSM), University of Oxford, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD, UK
| | - Leena Elhussein
- Centre for Statistics in Medicine (CSM), University of Oxford, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD, UK
| | - Peter Hoskin
- Mount Vernon Cancer Centre, Rickmansworth Road, Northwood, HA6 2RN, UK
| | - Tim Maughan
- Oxford Institute for Radiation Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK
| | - Sarah Blagden
- Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK
| | - Paul Mulholland
- Department of Oncology, University College London Hospitals, 250 Euston Road, London, NW1 2PQ, UK.
- Mount Vernon Cancer Centre, Rickmansworth Road, Northwood, HA6 2RN, UK.
- UCL Cancer Institute, 72 Huntley St, London, WC1E 6AG, UK.
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Jacob F, Salinas RD, Zhang DY, Nguyen PTT, Schnoll JG, Wong SZH, Thokala R, Sheikh S, Saxena D, Prokop S, Liu DA, Qian X, Petrov D, Lucas T, Chen HI, Dorsey JF, Christian KM, Binder ZA, Nasrallah M, Brem S, O'Rourke DM, Ming GL, Song H. A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. Cell 2020; 180:188-204.e22. [PMID: 31883794 PMCID: PMC7556703 DOI: 10.1016/j.cell.2019.11.036] [Citation(s) in RCA: 525] [Impact Index Per Article: 131.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 09/22/2019] [Accepted: 11/22/2019] [Indexed: 02/08/2023]
Abstract
Glioblastomas exhibit vast inter- and intra-tumoral heterogeneity, complicating the development of effective therapeutic strategies. Current in vitro models are limited in preserving the cellular and mutational diversity of parental tumors and require a prolonged generation time. Here, we report methods for generating and biobanking patient-derived glioblastoma organoids (GBOs) that recapitulate the histological features, cellular diversity, gene expression, and mutational profiles of their corresponding parental tumors. GBOs can be generated quickly with high reliability and exhibit rapid, aggressive infiltration when transplanted into adult rodent brains. We further demonstrate the utility of GBOs to test personalized therapies by correlating GBO mutational profiles with responses to specific drugs and by modeling chimeric antigen receptor T cell immunotherapy. Our studies show that GBOs maintain many key features of glioblastomas and can be rapidly deployed to investigate patient-specific treatment strategies. Additionally, our live biobank establishes a rich resource for basic and translational glioblastoma research.
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Affiliation(s)
- Fadi Jacob
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ryan D Salinas
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel Y Zhang
- Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Phuong T T Nguyen
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jordan G Schnoll
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Samuel Zheng Hao Wong
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Radhika Thokala
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Saad Sheikh
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Deeksha Saxena
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stefan Prokop
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Di-Ao Liu
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Xuyu Qian
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Bioengineering Graduate Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Dmitriy Petrov
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy Lucas
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - H Isaac Chen
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104, USA
| | - Jay F Dorsey
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kimberly M Christian
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Zev A Binder
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - MacLean Nasrallah
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven Brem
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Donald M O'Rourke
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Glioblastoma Translational Center of Excellence, The Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Mathen P, Rowe L, Mackey M, Smart D, Tofilon P, Camphausen K. Radiosensitizers in the temozolomide era for newly diagnosed glioblastoma. Neurooncol Pract 2019; 7:268-276. [PMID: 32537176 DOI: 10.1093/nop/npz057] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Glioblastoma (GBM) is a challenging diagnosis with almost universally poor prognosis. Though the survival advantage of postoperative radiation (RT) is well established, around 90% of patients will fail in the RT field. The high likelihood of local failure suggests the efficacy of RT needs to be improved to improve clinical outcomes. Radiosensitizers are an established method of enhancing RT cell killing through the addition of a pharmaceutical agent. Though the majority of trials using radiosensitizers have historically been unsuccessful, there continues to be interest with a variety of approaches having been employed. Epidermal growth factor receptor inhibitors, histone deacetylase inhibitors, antiangiogenic agents, and a number of other molecularly targeted agents have all been investigated as potential methods of radiosensitization in the temozolomide era. Outcomes have varied both in terms of toxicity and survival, but some agents such as valproic acid and bortezomib have demonstrated promising results. However, reporting of results in phase 2 trials in newly diagnosed GBM have been inconsistent, with no standard in reporting progression-free survival and toxicity. There is a pressing need for investigation of new agents; however, nearly all phase 3 trials of GBM patients of the past 25 years have demonstrated no improvement in outcomes. One proposed explanation for this is the selection of agents lacking sufficient preclinical data and/or based on poorly designed phase 2 trials. Radiosensitization may represent a viable strategy for improving GBM outcomes in newly diagnosed patients, and further investigation using agents with promising phase 2 data is warranted.
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Affiliation(s)
- Peter Mathen
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Lindsay Rowe
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Megan Mackey
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - DeeDee Smart
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Philip Tofilon
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Kevin Camphausen
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
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Clinical trial participation of patients with glioblastoma at The University of Texas MD Anderson Cancer Center. Eur J Cancer 2019; 112:83-93. [DOI: 10.1016/j.ejca.2019.02.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 02/04/2019] [Accepted: 02/08/2019] [Indexed: 11/19/2022]
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Ludmir EB, Mandel JJ, McAleer MF, de Groot JF. Disparities along the glioblastoma clinical trials landscape. Neuro Oncol 2019; 21:285-286. [PMID: 30476295 PMCID: PMC6374758 DOI: 10.1093/neuonc/noy176] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- Ethan B Ludmir
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | | | - John F de Groot
- The University of Texas MD Anderson Cancer Center, Houston, Texas
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Repurposing of idebenone as a potential anti-cancer agent. Biochem J 2019; 476:245-259. [DOI: 10.1042/bcj20180384] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 01/01/2019] [Accepted: 01/01/2019] [Indexed: 12/22/2022]
Abstract
AbstractGlioblastoma (GB) represents the most common and aggressive form of malignant primary brain tumour associated with high rates of morbidity and mortality. In the present study, we considered the potential use of idebenone (IDE), a Coenzyme Q10 analogue, as a novel chemotherapeutic agent for GB. On two GB cell lines, U373MG and U87MG, IDE decreased the viable cell number and enhanced the cytotoxic effects of two known anti-proliferative agents: temozolomide and oxaliplatin. IDE also affected the clonogenic and migratory capacity of both GB cell lines, at 25 and 50 µM, a concentration equivalent to that transiently reached in plasma after oral intake that is deemed safe for humans. p21 protein expression was decreased in both cell lines, indicating that IDE likely exerts its effects through cell cycle dysregulation, and this was confirmed in U373MG cells only by flow cytometric cell cycle analysis which showed S-phase arrest. Caspase-3 protein expression was also significantly decreased in U373MG cells indicating IDE-induced apoptosis that was confirmed by flow cytometric Annexin V/propidium iodide staining. No major decrease in caspase-3 expression was observed in U87MG cells nor apoptosis as observed by flow cytometry analysis. Overall, the present study demonstrates that IDE has potential as an anti-proliferative agent for GB by interfering with several features of glioma pathogenesis such as proliferation and migration, and hence might be a drug that could be repurposed for aiding cancer treatments. Furthermore, the synergistic combinations of IDE with other agents aimed at different pathways involved in this type of cancer are promising.
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50
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Effect of health disparities on overall survival of patients with glioblastoma. J Neurooncol 2019; 142:365-374. [PMID: 30671709 DOI: 10.1007/s11060-019-03108-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 01/16/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Examine the potential effects of health disparities in survival of glioblastoma (GB) patients. METHODS We conducted a retrospective chart review of newly diagnosed GB patients from 2000 to 2015 at a free standing dedicated cancer center (MD Anderson Cancer Center-MDACC) and a safety net county hospital (Ben Taub General Hospital-BT) located in Houston, Texas. We obtained demographics, insurance status, extent of resection, treatments, and other known prognostic variables (Karnofsky Score-KPS) to evaluate their role on overall GB survival (OS). RESULTS We identified 1073 GB patients consisting of 177 from BT and 896 from MDACC. We found significant differences by ethnicity, insurance status, KPS at diagnosis, extent of resection, and percentage of patients receiving standard of care (SOC) between the two centers. OS was 1.64 years for MDACC patients and 1.24 years for BT patients (p < 0.0176). Only 81 (45.8%) BT patients received SOC compared to 577 (64%) of MDACC patients (p < 0.0001). However, there was no significant difference in OS for patients who received SOC, 1.84 years for MDACC patients and 1.99 years for BT patients (p < 0.4787). Of the 96 BT patients who did not receive SOC, 29 (30%) had KPS less than 70 at time of diagnosis and 77 (80%) lacked insurance. CONCLUSIONS GB patients treated at a safety net county hospital had similar OS compared to a free standing comprehensive cancer center when receiving SOC. County hospital patients had poorer KPS at diagnosis and were often lacking health insurance affecting their ability to receive SOC.
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