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Aghajani M, Jalilzadeh N, Aghebati-Maleki A, Yari A, Tabnak P, Mardi A, Saeedi H, Aghebati-Maleki L, Baradaran B. Current approaches in glioblastoma multiforme immunotherapy. Clin Transl Oncol 2024; 26:1584-1612. [PMID: 38512448 DOI: 10.1007/s12094-024-03395-7] [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: 07/26/2023] [Accepted: 01/08/2024] [Indexed: 03/23/2024]
Abstract
Glioblastoma multiform (GBM) is the most prevalent CNS (central nervous system) tumor in adults, with an average survival length shorter than 2 years and rare metastasis to organs other than CNS. Despite extensive attempts at surgical resecting, the inherently permeable nature of this disease has rendered relapse nearly unavoidable. Thus, immunotherapy is a feasible alternative, as stimulated immune cells can enter into the remote and inaccessible tumor cells. Immunotherapy has revolutionized patient upshots in various malignancies and might introduce different effective ways for GBM patients. Currently, researchers are exploring various immunotherapeutic strategies in patients with GBM to target both the innate and acquired immune responses. These approaches include reprogrammed tumor-associated macrophages, the use of specific antibodies to inhibit tumor progression and metastasis, modifying tumor-associated macrophages with antibodies, vaccines that utilize tumor-specific dendritic cells to activate anti-tumor T cells, immune checkpoint inhibitors, and enhanced T cells that function against tumor cells. Despite these findings, there is still room for improving the response faults of the many currently tested immunotherapies. This study aims to review the currently used immunotherapy approaches with their molecular mechanisms and clinical application in GBM.
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Affiliation(s)
- Marjan Aghajani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nazila Jalilzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Aghebati-Maleki
- Molecular Medicine Department, Faculty of Modern Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amirhossein Yari
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Biology, Islamic Azad University, Tabriz Branch, Tabriz, Iran
| | - Peyman Tabnak
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amirhossein Mardi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Saeedi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Leili Aghebati-Maleki
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Behzad Baradaran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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2
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Stepanenko AA, Sosnovtseva AO, Valikhov MP, Chernysheva AA, Abramova OV, Naumenko VA, Chekhonin VP. The need for paradigm shift: prognostic significance and implications of standard therapy-related systemic immunosuppression in glioblastoma for immunotherapy and oncolytic virotherapy. Front Immunol 2024; 15:1326757. [PMID: 38390330 PMCID: PMC10881776 DOI: 10.3389/fimmu.2024.1326757] [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: 10/23/2023] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
Despite significant advances in our knowledge regarding the genetics and molecular biology of gliomas over the past two decades and hundreds of clinical trials, no effective therapeutic approach has been identified for adult patients with newly diagnosed glioblastoma, and overall survival remains dismal. Great hopes are now placed on combination immunotherapy. In clinical trials, immunotherapeutics are generally tested after standard therapy (radiation, temozolomide, and steroid dexamethasone) or concurrently with temozolomide and/or steroids. Only a minor subset of patients with progressive/recurrent glioblastoma have benefited from immunotherapies. In this review, we comprehensively discuss standard therapy-related systemic immunosuppression and lymphopenia, their prognostic significance, and the implications for immunotherapy/oncolytic virotherapy. The effectiveness of immunotherapy and oncolytic virotherapy (viro-immunotherapy) critically depends on the activity of the host immune cells. The absolute counts, ratios, and functional states of different circulating and tumor-infiltrating immune cell subsets determine the net immune fitness of patients with cancer and may have various effects on tumor progression, therapeutic response, and survival outcomes. Although different immunosuppressive mechanisms operate in patients with glioblastoma/gliomas at presentation, the immunological competence of patients may be significantly compromised by standard therapy, exacerbating tumor-related systemic immunosuppression. Standard therapy affects diverse immune cell subsets, including dendritic, CD4+, CD8+, natural killer (NK), NKT, macrophage, neutrophil, and myeloid-derived suppressor cell (MDSC). Systemic immunosuppression and lymphopenia limit the immune system's ability to target glioblastoma. Changes in the standard therapy are required to increase the success of immunotherapies. Steroid use, high neutrophil-to-lymphocyte ratio (NLR), and low post-treatment total lymphocyte count (TLC) are significant prognostic factors for shorter survival in patients with glioblastoma in retrospective studies; however, these clinically relevant variables are rarely reported and correlated with response and survival in immunotherapy studies (e.g., immune checkpoint inhibitors, vaccines, and oncolytic viruses). Our analysis should help in the development of a more rational clinical trial design and decision-making regarding the treatment to potentially improve the efficacy of immunotherapy or oncolytic virotherapy.
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Affiliation(s)
- Aleksei A. Stepanenko
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N.I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasiia O. Sosnovtseva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Marat P. Valikhov
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N.I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasia A. Chernysheva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Olga V. Abramova
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Victor A. Naumenko
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Vladimir P. Chekhonin
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, The Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N.I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
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3
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Chen E, Ling AL, Reardon DA, Chiocca EA. Lessons learned from phase 3 trials of immunotherapy for glioblastoma: Time for longitudinal sampling? Neuro Oncol 2024; 26:211-225. [PMID: 37995317 PMCID: PMC10836778 DOI: 10.1093/neuonc/noad211] [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] [Indexed: 11/25/2023] Open
Abstract
Glioblastoma (GBM)'s median overall survival is almost 21 months. Six phase 3 immunotherapy clinical trials have recently been published, yet 5/6 did not meet approval by regulatory bodies. For the sixth, approval is uncertain. Trial failures result from multiple factors, ranging from intrinsic tumor biology to clinical trial design. Understanding the clinical and basic science of these 6 trials is compelled by other immunotherapies reaching the point of advanced phase 3 clinical trial testing. We need to understand more of the science in human GBMs in early trials: the "window of opportunity" design may not be best to understand complex changes brought about by immunotherapeutic perturbations of the GBM microenvironment. The convergence of increased safety of image-guided biopsies with "multi-omics" of small cell numbers now permits longitudinal sampling of tumor and biofluids to dissect the complex temporal changes in the GBM microenvironment as a function of the immunotherapy.
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Affiliation(s)
- Ethan Chen
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Alexander L Ling
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David A Reardon
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
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4
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Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors. NPJ Vaccines 2020; 5:5. [PMID: 31969991 PMCID: PMC6965118 DOI: 10.1038/s41541-019-0149-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/25/2019] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma is the most prevalent and aggressive brain cancer. With a median overall survival of ~15–20 months under standard therapy, novel treatment approaches are desperately needed. A recent phase II clinical trial with a personalized immunotherapy based on tumor lysate-charged dendritic cell (DC) vaccination, however, failed to prolong survival. Here, we investigated tumor tissue from trial patients to explore glioblastoma survival-related factors. We followed an innovative approach of combining mass spectrometry-based quantitative proteomics (n = 36) with microRNA sequencing plus RT-qPCR (n = 38). Protein quantification identified, e.g., huntingtin interacting protein 1 (HIP1), retinol-binding protein 1 (RBP1), ferritin heavy chain (FTH1) and focal adhesion kinase 2 (FAK2) as factor candidates correlated with a dismal prognosis. MicroRNA analysis identified miR-216b, miR-216a, miR-708 and let-7i as molecules potentially associated with favorable tissue characteristics as they were enriched in patients with a comparably longer survival. To illustrate the utility of integrated miRNomics and proteomics findings, focal adhesion was studied further as one example for a pathway of potential general interest. Taken together, we here mapped possible drivers of glioblastoma outcome under immunotherapy in one of the largest DC vaccination tissue analysis cohorts so far—demonstrating usefulness and feasibility of combined proteomics/miRNomics approaches. Future research should investigate agents that sensitize glioblastoma to (immuno)therapy—potentially building on insights generated here. Glioblastoma is an aggressive form of brain cancer and effective immunotherapeutics are limited, with treatment currently based on chemotherapy and radiotherapy. A recent phase II clinical trial tested a personalized, targeted dendritic cell-based immunotherapy but there was no observed improvement in patient survival or progression-free survival compared to standard-of-care therapy. Here, Carmen Visus and colleagues have used tumor tissue samples from glioblastoma patients involved in this trial and receiving immunotherapy. Using a combination of mass spectrometry-based proteomics, microRNA sequencing and RT-qPCR they identified factors associated with survival or poor prognosis. Proteomics associated poor prognosis with various proteins including focal adhesion kinase 2 (FAK2), whilst microRNAs, miR-216b, miR-216a, miR-708 and let-7i, were associated with longer survival. Focussing on one pathway, FAK2, they integrated the proteomic and microRNA datasets and saw a negative association with overall survival across all patients. To test this, they added an FAK inhibitor to glioblastoma cell lines, including cells isolated from trial patients, and observed inhibition of gliomaspheres in treated cells, providing insights into potential immunotherapy targets.
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5
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Erhart F, Buchroithner J, Reitermaier R, Fischhuber K, Klingenbrunner S, Sloma I, Hibsh D, Kozol R, Efroni S, Ricken G, Wöhrer A, Haberler C, Hainfellner J, Krumpl G, Felzmann T, Dohnal AM, Marosi C, Visus C. Immunological analysis of phase II glioblastoma dendritic cell vaccine (Audencel) trial: immune system characteristics influence outcome and Audencel up-regulates Th1-related immunovariables. Acta Neuropathol Commun 2018; 6:135. [PMID: 30518425 PMCID: PMC6280511 DOI: 10.1186/s40478-018-0621-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Accepted: 10/16/2018] [Indexed: 01/19/2023] Open
Abstract
Audencel is a dendritic cell (DC)-based cellular cancer immunotherapy against glioblastoma multiforme (GBM). It is characterized by loading of DCs with autologous whole tumor lysate and in vitro maturation via “danger signals”. The recent phase II “GBM-Vax” trial showed no clinical efficacy for Audencel as assessed with progression-free and overall survival in all patients. Here we present immunological research accompanying the trial with a focus on immune system factors related to outcome and Audencel’s effect on the immune system. Methodologically, peripheral blood samples (from apheresis before Audencel or venipuncture during Audencel) were subjected to functional characterization via enzyme-linked immunospot (ELISPOT) assays connected with cytokine bead assays (CBAs) as well as phenotypical characterization via flow cytometry and mRNA quantification. GBM tissue samples (from surgery) were subjected to T cell receptor sequencing and immunohistochemistry. As results we found: Patients with favorable pre-existing anti-tumor characteristics lived longer under Audencel than Audencel patients without them. Pre-vaccination blood CD8+ T cell count and ELISPOT Granzyme B production capacity in vitro upon tumor antigen exposure were significantly correlated with overall survival. Despite Audencel’s general failure to induce a significant clinical response, it nevertheless seemed to have an effect on the immune system. For instance, Audencel led to a significant up-regulation of the Th1-related immunovariables ELISPOT IFNγ, the transcription factor T-bet in the blood and ELISPOT IL-2 in a dose-dependent manner upon vaccination. Post-vaccination levels of ELISPOT IFNγ and CD8+ cells in the blood were indicative of a significantly better survival. In summary, Audencel failed to reach an improvement of survival in the recent phase II clinical trial. No clinical efficacy was registered. Our concomitant immunological work presented here indicates that outcome under Audencel was influenced by the state of the immune system. On the other hand, Audencel also seemed to have stimulated the immune system. Overall, these immunological considerations suggest that DC immunotherapy against glioblastoma should be studied further – with the goal of translating an apparent immunological response into a clinical response. Future research should concentrate on investigating augmentation of immune reactions through combination therapies or on developing meaningful biomarkers.
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Implementing liquid biopsies into clinical decision making for cancer immunotherapy. Oncotarget 2018; 8:48507-48520. [PMID: 28501851 PMCID: PMC5564665 DOI: 10.18632/oncotarget.17397] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 04/04/2017] [Indexed: 02/06/2023] Open
Abstract
During the last decade, novel immunotherapeutic strategies, in particular antibodies directed against immune checkpoint inhibitors, have revolutionized the treatment of different malignancies leading to an improved survival of patients. Identification of immune-related biomarkers for diagnosis, prognosis, monitoring of immune responses and selection of patients for specific cancer immunotherapies is urgently required and therefore areas of intensive research. Easily accessible samples in particular liquid biopsies (body fluids), such as blood, saliva or urine, are preferred for serial tumor biopsies. Although monitoring of immune and tumor responses prior, during and post immunotherapy has led to significant advances of patients’ outcome, valid and stable prognostic biomarkers are still missing. This might be due to the limited capacity of the technologies employed, reproducibility of results as well as assay stability and validation of results. Therefore solid approaches to assess immune regulation and modulation as well as to follow up the nature of the tumor in liquid biopsies are urgently required to discover valuable and relevant biomarkers including sample preparation, timing of the collection and the type of liquid samples. This article summarizes our knowledge of the well-known liquid material in a new context as liquid biopsy and focuses on collection and assay requirements for the analysis and the technical developments that allow the implementation of different high-throughput assays to detect alterations at the genetic and immunologic level, which could be used for monitoring treatment efficiency, acquired therapy resistance mechanisms and the prognostic value of the liquid biopsies.
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8
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Cabo M, Offringa R, Zitvogel L, Kroemer G, Muntasell A, Galluzzi L. Trial Watch: Immunostimulatory monoclonal antibodies for oncological indications. Oncoimmunology 2017; 6:e1371896. [PMID: 29209572 PMCID: PMC5706611 DOI: 10.1080/2162402x.2017.1371896] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 08/21/2017] [Indexed: 12/14/2022] Open
Abstract
The goal of cancer immunotherapy is to establish new or boost pre-existing anticancer immune responses that eradicate malignant cells while generating immunological memory to prevent disease relapse. Over the past few years, immunomodulatory monoclonal antibodies (mAbs) that block co-inhibitory receptors on immune effectors cells - such as cytotoxic T lymphocyte-associated protein 4 (CTLA4), programmed cell death 1 (PDCD1, best known as PD-1) - or their ligands - such as CD274 (best known as PD-L1) - have proven very successful in this sense. As a consequence, many of such immune checkpoint blockers (ICBs) have already entered the clinical practice for various oncological indications. Considerable attention is currently being attracted by a second group of immunomodulatory mAbs, which are conceived to activate co-stimulatory receptors on immune effector cells. Here, we discuss the mechanisms of action of these immunostimulatory mAbs and summarize recent progress in their preclinical and clinical development.
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Affiliation(s)
- Mariona Cabo
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Rienk Offringa
- Department of General Surgery, Heidelberg University Hospital, Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, Heidelberg, Germany
- DKFZ-Bayer Joint Immunotherapeutics Laboratory, German Cancer Research Center, Heidelberg, Germany
| | - Laurence Zitvogel
- Gustave Roussy Comprehensive Cancer Institute, Villejuif, France
- INSERM, U1015, Villejuif, France
- Center of Clinical Investigations in Biotherapies of Cancer (CICBT) 1428, Villejuif, France
- Université Paris Sud/Paris XI, Le Kremlin-Bicêtre, France
| | - Guido Kroemer
- Université Paris Descartes/Paris V, France
- Université Pierre et Marie Curie/Paris VI, Paris
- Equipe 11 labellisée Ligue contre le Cancer, Centre de Recherche des Cordeliers, Paris, France
- INSERM, U1138, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Comprehensive Cancer Institute, Villejuif, France
- Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden
- Pôle de Biologie, Hopitâl Européen George Pompidou, AP-HP; Paris, France
| | - Aura Muntasell
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Lorenzo Galluzzi
- Université Paris Descartes/Paris V, France
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Sandra and Edward Meyer Cancer Center, New York, NY, USA
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Sokratous G, Polyzoidis S, Ashkan K. Immune infiltration of tumor microenvironment following immunotherapy for glioblastoma multiforme. Hum Vaccin Immunother 2017; 13:2575-2582. [PMID: 28362548 DOI: 10.1080/21645515.2017.1303582] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Autologous dentritic cell immunotherapy has been proven effective in treating tumors outside the central nervous system. Current evidence from phase I and II trials suggest a similar efficacy for central nervous system tumors as well and that an active immune response against these tumors can be generated. We aim to review the literature to identify the types of immune responses against gliomas found to be generated by dendritic cell vaccinations and the types of immune cells subsequently infiltrating the glioma microenvironment. A systematic review of the literature was performed by searching the online databases PubMEd, Google Scholar, and EMBASE with use of the keywords intratumoral, infiltration, lymphocytic, vaccination and gliomas. Seven studies reporting lymphocytic infiltration of gliomas microenvironment were identified. Three studies (42.8%) reported presence of tumor infiltrating lymphocytes in 50%, 50% and 28.6% of included patients respectively in the post-vaccination specimens that were not present in the pre-vaccination samples. The remaining 4 (57.2%) reported an up to 6-fold increase in the number of pre-existing lymphocytes following vaccination. Present data indicate that tumor infiltration by lymphocytes can be induced by dentritic cell immunotherapy and that this may positively affect clinical outcome. It still remains unclear which factors influence the above reaction and therefore prediction of response to treatment is still not possible.
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Affiliation(s)
- Giannis Sokratous
- a Clinical Research Fellow, Department of Neurosurgery , King's College Hospital , Denmark Hill, London , UK
| | - Stavros Polyzoidis
- b Clinical Fellow, Department of Neurosurgery , King's College Hospital , Denmark Hill, London , UK.,c First Department of Neurosurgery - AHEPA Hospital , Aristotle University of Thessaloniki , Greece
| | - Keyoumars Ashkan
- d Professor of Neurosurgery, Department of Neurosurgery , King's College Hospital , Denmark Hill, London , UK
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Nguyen Them L, Ibañez-Julia MJ, Alentorn A, Duran-Peña A, Royer-Perron L, Sanson M, Hoang-Xuan K, Delattre JY, Idbaih A. Targeting the immune system in glioblastoma. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2017. [DOI: 10.1080/23808993.2017.1309256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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11
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The development of dendritic cell vaccine-based immunotherapies for glioblastoma. Semin Immunopathol 2017; 39:225-239. [PMID: 28138787 DOI: 10.1007/s00281-016-0616-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 12/20/2016] [Indexed: 12/17/2022]
Abstract
In this review, we focus on the biologic advantages of dendritic cell-based vaccinations as a therapeutic strategy for cancer as well as preclinical and emerging clinical data associated with such approaches for glioblastoma patients.
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Kamran N, Calinescu A, Candolfi M, Chandran M, Mineharu Y, Asad AS, Koschmann C, Nunez FJ, Lowenstein PR, Castro MG. Recent advances and future of immunotherapy for glioblastoma. Expert Opin Biol Ther 2016; 16:1245-64. [PMID: 27411023 PMCID: PMC5014608 DOI: 10.1080/14712598.2016.1212012] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 07/08/2016] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Outcome for glioma (GBM) remains dismal despite advances in therapeutic interventions including chemotherapy, radiotherapy and surgical resection. The overall survival benefit observed with immunotherapies in cancers such as melanoma and prostate cancer has fuelled research into evaluating immunotherapies for GBM. AREAS COVERED Preclinical studies have brought a wealth of information for improving the prognosis of GBM and multiple clinical studies are evaluating a wide array of immunotherapies for GBM patients. This review highlights advances in the development of immunotherapeutic approaches. We discuss the strategies and outcomes of active and passive immunotherapies for GBM including vaccination strategies, gene therapy, check point blockade and adoptive T cell therapies. We also focus on immunoediting and tumor neoantigens that can impact the efficacy of immunotherapies. EXPERT OPINION Encouraging results have been observed with immunotherapeutic strategies; some clinical trials are reaching phase III. Significant progress has been made in unraveling the molecular and genetic heterogeneity of GBM and its implications to disease prognosis. There is now consensus related to the critical need to incorporate tumor heterogeneity into the design of therapeutic approaches. Recent data also indicates that an efficacious treatment strategy will need to be combinatorial and personalized to the tumor genetic signature.
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Affiliation(s)
- Neha Kamran
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Alexandra Calinescu
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Marianela Candolfi
- c Instituto de Investigaciones Biomédicas (CONICET-UBA), Facultad de Medicina , Universidad de Buenos Aires , Buenos Aires , Argentina
| | - Mayuri Chandran
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Yohei Mineharu
- d Department of Neurosurgery , Kyoto University Graduate School of Medicine , Kyoto , Japan
| | - Antonela S Asad
- c Instituto de Investigaciones Biomédicas (CONICET-UBA), Facultad de Medicina , Universidad de Buenos Aires , Buenos Aires , Argentina
| | - Carl Koschmann
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Felipe J Nunez
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Pedro R Lowenstein
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
| | - Maria G Castro
- a Department of Neurosurgery , The University of Michigan School of Medicine , Ann Arbor , MI , USA
- b Department of Cell and Developmental Biology , The University of Michigan School of Medicine , Ann Arbor , MI , USA
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13
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Davies R, Vogelsang P, Jonsson R, Appel S. An optimized multiplex flow cytometry protocol for the analysis of intracellular signaling in peripheral blood mononuclear cells. J Immunol Methods 2016; 436:58-63. [PMID: 27369043 DOI: 10.1016/j.jim.2016.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 06/16/2016] [Accepted: 06/27/2016] [Indexed: 10/21/2022]
Abstract
Phosphoflow cytometry is increasingly being used as a tool for the discovery of biomarkers used in the treatment and monitoring of disease and therapy. The ability to measure numerous phospho-protein targets simultaneously at a single cell level accurately and rapidly provides significant advantages over other methods. We here discuss important considerations required to successfully implement these methods. Three different blood collection tubes (lithium-heparin tubes, CPT with sodium citrate and CPT with sodium heparin) were evaluated, with PBMC isolated through lithium-heparin tubes/lymphoprep displaying reduced basal and increased stimulation induced phosphorylation compared to the other two methods. Further, we provide a protocol outlining an 8 color assay developed for the study of intracellular signaling in peripheral blood mononuclear cells. The assay allows for the quantitative measurement of the phospho-proteins ERK1/2, NF-κB p65, Stat1 (Y701), Stat1 (S727), Stat3 (Y705), Stat3 (S727), Stat4 (Y693), p38 and Stat5 (Y694), as well as the identification of T cells, B cells, natural killer cells and monocytes. The assay additionally incorporates fluorescent cell barcoding, reducing assay costs and increasing throughput while increasing data robustness. Inter-assay precision was assessed over a month long period for all experimental variables (phospho-protein measured, cell type and stimulant). Coefficient of variations (CVs) calculated from process triplicates of normalized median fluorescence intensity (MFI) of the phospho-proteins displayed median CVs under 10% when grouped according to cell type, stimulation agent and phospho-protein measured, while the CV for each triplicate did not exceed 20%.
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Affiliation(s)
- Richard Davies
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway.
| | - Petra Vogelsang
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway
| | - Roland Jonsson
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway; Department of Rheumatology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Silke Appel
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway
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Hodges TR, Ferguson SD, Heimberger AB. Immunotherapy in glioblastoma: emerging options in precision medicine. CNS Oncol 2016; 5:175-86. [PMID: 27225028 DOI: 10.2217/cns-2016-0009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Immunotherapy for glioblastoma (GBM) provides a unique opportunity for targeted therapies for each patient, addressing individual variability in genes, tumor biomarkers and clinical profile. As immunotherapy has the potential to specifically target tumor cells with minimal risk to normal tissue, several immunotherapeutic strategies are currently being evaluated in clinical trials in GBM. With the Precision Medicine Initiative being announced in the President's State of the Union Address in 2016, GBM immunotherapy provides a useful platform for changing the landscape in treating patients with difficult disease.
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Affiliation(s)
- Tiffany R Hodges
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sherise D Ferguson
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Amy B Heimberger
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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15
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Hsu M, Sedighim S, Wang T, Antonios JP, Everson RG, Tucker AM, Du L, Emerson R, Yusko E, Sanders C, Robins HS, Yong WH, Davidson TB, Li G, Liau LM, Prins RM. TCR Sequencing Can Identify and Track Glioma-Infiltrating T Cells after DC Vaccination. Cancer Immunol Res 2016; 4:412-418. [PMID: 26968205 DOI: 10.1158/2326-6066.cir-15-0240] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Accepted: 01/29/2016] [Indexed: 01/21/2023]
Abstract
Although immunotherapeutic strategies are emerging as adjunctive treatments for cancer, sensitive methods of monitoring the immune response after treatment remain to be established. We used a novel next-generation sequencing approach to determine whether quantitative assessments of tumor-infiltrating lymphocyte (TIL) content and the degree of overlap of T-cell receptor (TCR) sequences in brain tumors and peripheral blood were predictors of immune response and overall survival in glioblastoma patients treated with autologous tumor lysate-pulsed dendritic cell immunotherapy. A statistically significant correlation was found between a higher estimated TIL content and increased time to progression and overall survival. In addition, we were able to assess the proportion of shared TCR sequences between tumor and peripheral blood at time points before and after therapy, and found the level of TCR overlap to correlate with survival outcomes. Higher degrees of overlap, or the development of an increased overlap following immunotherapy, was correlated with improved clinical outcome, and may provide insights into the successful, antigen-specific immune response. Cancer Immunol Res; 4(5); 412-8. ©2016 AACR.
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Affiliation(s)
- Melody Hsu
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Shaina Sedighim
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Tina Wang
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Department of Medicine (Hematology/Oncology), David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Joseph P Antonios
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,The Medical Scientist Training Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Richard G Everson
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Alexander M Tucker
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Lin Du
- Department of Biostatistics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | - Erik Yusko
- Adaptive Biotechnologies, Seattle, WA, USA
| | | | - Harlan S Robins
- Adaptive Biotechnologies, Seattle, WA, USA.,Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - William H Yong
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Tom B Davidson
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Gang Li
- Department of Biostatistics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Linda M Liau
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Robert M Prins
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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16
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Hodges TR, Ferguson SD, Caruso HG, Kohanbash G, Zhou S, Cloughesy TF, Berger MS, Poste GH, Khasraw M, Ba S, Jiang T, Mikkelson T, Yung WKA, de Groot JF, Fine H, Cantley LC, Mellinghoff IK, Mitchell DA, Okada H, Heimberger AB. Prioritization schema for immunotherapy clinical trials in glioblastoma. Oncoimmunology 2016; 5:e1145332. [PMID: 27471611 DOI: 10.1080/2162402x.2016.1145332] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 01/12/2016] [Accepted: 01/16/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Emerging immunotherapeutic strategies for the treatment of glioblastoma (GBM) such as dendritic cell (DC) vaccines, heat shock proteins, peptide vaccines, and adoptive T-cell therapeutics, to name a few, have transitioned from the bench to clinical trials. With upcoming strategies and developing therapeutics, it is challenging to critically evaluate the practical, clinical potential of individual approaches and to advise patients on the most promising clinical trials. METHODS The authors propose a system to prioritize such therapies in an organized and data-driven fashion. This schema is based on four categories of factors: antigenic target robustness, immune-activation and -effector responses, preclinical vetting, and early evidence of clinical response. Each of these categories is subdivided to focus on the most salient elements for developing a successful immunotherapeutic approach for GBM, and a numerical score is generated. RESULTS The Score Card reveals therapeutics that have the most robust data to support their use, provides a reference prioritization score, and can be applied in a reiterative fashion with emerging data. CONCLUSIONS The authors hope that this schema will give physicians an evidence-based and rational framework to make the best referral decisions to better guide and serve this patient population.
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Affiliation(s)
- Tiffany R Hodges
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - Sherise D Ferguson
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - Hillary G Caruso
- The Division of Pediatrics, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - Gary Kohanbash
- Department of Neurosurgery, the University of California at San Francisco , San Francisco, USA
| | - Shouhao Zhou
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - Timothy F Cloughesy
- Department of Neuro-Oncology, the University of California at Los Angeles , Los Angeles, CA, USA
| | - Mitchel S Berger
- Department of Neurosurgery, the University of California at San Francisco , San Francisco, USA
| | | | | | - Sujuan Ba
- The National Foundation for Cancer Research, Bethesda, MD, USA, Asian Fund for Cancer Research , Hong Kong, People's Republic of China
| | - Tao Jiang
- Department of Neurosurgery, Tiantan Hospital, Capital Medical University , Beijing, China
| | - Tom Mikkelson
- Department of Neurosurgery, Henry Ford Health System , Detroit, MI, USA
| | - W K Alfred Yung
- Department of Neuro-Oncology, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - John F de Groot
- Department of Neuro-Oncology, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
| | - Howard Fine
- Division of Neuro-Oncology, Weill Cornell Medical College , New York, NY, USA
| | - Lewis C Cantley
- Department of Systems Biology, Harvard Medical School , Boston, MA, USA
| | - Ingo K Mellinghoff
- Department of Neurology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center , New York, NY, USA
| | - Duane A Mitchell
- Department of Neurosurgery, University of Florida , Gainesville, FL, USA
| | - Hideho Okada
- Department of Neurosurgery, the University of California at San Francisco , San Francisco, USA
| | - Amy B Heimberger
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center , Houston, TX, USA
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17
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Wu A, Lim M. Issues to Consider in Designing Immunotherapy Clinical Trials for Glioblastoma Management. ACTA ACUST UNITED AC 2016. [DOI: 10.4236/jct.2016.78060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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18
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Immunomonitoring in glioma immunotherapy: current status and future perspectives. J Neurooncol 2015; 127:1-13. [PMID: 26638171 DOI: 10.1007/s11060-015-2018-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2015] [Accepted: 11/25/2015] [Indexed: 12/28/2022]
Abstract
Given the continued poor clinical outcomes and refractory nature of glioblastoma multiforme to traditional interventions, immunotherapy is gaining traction due to its potential for specific tumor-targeting and long-term antitumor protective surveillance. Currently, development of glioma immunotherapy relies on overall survival as an endpoint in clinical trials. However, the identification of surrogate immunologic biomarkers can accelerate the development of successful immunotherapeutic strategies. Immunomonitoring techniques possess the potential to elucidate immunological mechanisms of antitumor responses, monitor disease progression, evaluate therapeutic effect, identify candidates for immunotherapy, and serve as prognostic markers of clinical outcome. Current immunomonitoring assays assess delayed-type hypersensitivity, T cell proliferation, cytotoxic T-lymphocyte function, cytokine secretion profiles, antibody titers, and lymphocyte phenotypes. Yet, no single immunomonitoring technique can reliably predict outcomes, relegating immunological markers to exploratory endpoints. In response, the most recent immunomonitoring assays are incorporating emerging technologies and novel analysis techniques to approach the goal of identifying a competent immunological biomarker which predicts therapy responsiveness and clinical outcome. This review addresses the current status of immunomonitoring in glioma vaccine clinical trials with emphasis on correlations with clinical response.
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19
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Zhai L, Dey M, Lauing KL, Gritsina G, Kaur R, Lukas RV, Nicholas MK, Rademaker AW, Dostal CR, McCusker RH, Raizer JJ, Parsa AT, Bloch O, Wainwright DA. The kynurenine to tryptophan ratio as a prognostic tool for glioblastoma patients enrolling in immunotherapy. J Clin Neurosci 2015; 22:1964-8. [PMID: 26279502 DOI: 10.1016/j.jocn.2015.06.018] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 06/24/2015] [Indexed: 12/12/2022]
Abstract
We hypothesized that peripheral tryptophan (Trp) and/or kynurenine (Kyn) levels would provide prognostic value for physicians planning to enroll glioblastoma multiforme (GBM) patients in immunotherapy. GBM is the most common form of malignant glioma in adults. Despite aggressive surgical resection, irradiation and chemotherapy, patients with GBM have a median survival of only 14.6 months after diagnosis. This poor outcome has led to the search for more effective treatments, including immunotherapy. However, the identification of parameters that proactively stratify GBM patients who have the potential for therapeutic benefit has been challenging. Given recent observations demonstrating high indoleamine 2,3 dioxygenase 1 (IDO1) expression in GBM, the immunosuppressive impact of IDO1-mediated Trp catabolism, as well as active transport of Trp and the IDO1-downstream Trp catabolite, Kyn, across the blood brain barrier, we hypothesized that peripheral blood analysis of this pathway would provide diagnostic utility. When comparing individuals without tumors to GBM patients prior to surgical resection, or at the 48 hour (48 h) and ⩾10 week (10 w+) postoperative time points, Trp levels were significantly decreased (p<0.0002). Similarly, Kyn levels were decreased in the pre- and 48 h postoperative GBM patients (p<0.0001), while there was no difference between individuals without tumors and 10 w+ GBM patients. Interestingly, those 10 w+ patients with a high Kyn/Trp ratio (⩾9.5) had a mean overall survival (OS) of 23.6 ± a standard error of 6.8 months, compared to an OS of 38.7 ± 4.9 months for patients with lower Kyn/Trp values. Since the 10 w+ blood draw and analyses occurred prior to patient enrollment in the heat shock protein peptide complex-96 clinical trial, these novel data suggest that the late Kyn/Trp index may be a relevant clinical benchmark, providing prognostic value for GBM patients who are enrolled in immunotherapeutic regimens.
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Affiliation(s)
- Lijie Zhai
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA
| | - Mahua Dey
- Department of Surgery, Section of Neurosurgery, University of Chicago, Chicago, IL, USA
| | - Kristen L Lauing
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA
| | - Galina Gritsina
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA
| | - Rajwant Kaur
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA
| | - Rimas V Lukas
- Department of Neurology, University of Chicago, Chicago, IL, USA
| | - M Kelly Nicholas
- Department of Neurology and Rehabilitation, The University of Illinois at Chicago, Chicago, IL, USA
| | - Alfred W Rademaker
- Department of Preventative Medicine, Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Carlos R Dostal
- Neuroscience Program, The University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Robert H McCusker
- Neuroscience Program, The University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Animal Sciences, The University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jeffrey J Raizer
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andrew T Parsa
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Orin Bloch
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Derek A Wainwright
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Tarry Bldg 2-703, 300 East Superior Street, Chicago, IL 60611, USA.
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20
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Kang JH, Adamson C. Novel chemotherapeutics and other therapies for treating high-grade glioma. Expert Opin Investig Drugs 2015; 24:1361-79. [PMID: 26289791 DOI: 10.1517/13543784.2015.1048332] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Despite extensive research, high-grade glioma (HGG) remains a dire diagnosis with no change in the standard of care in almost a decade. However, recent advancements uncovering molecular biomarkers of brain tumors and tumor-specific antigens targeted by immunotherapies provide opportunities for novel personalized treatment regimens to improve survival. AREAS COVERED In this review, the authors provide a comprehensive overview of recent therapeutic advancements in HGG. Furthermore, they describe new molecular biomarkers and molecular classifications, in addition to updated research on bevacizumab, targeted molecular therapies, immunotherapy and alternative delivery methods that overcome the blood-brain barrier to reach the target tumor tissue. Challenges regarding each therapy are also outlined. The authors also provide some insight into a novel non-chemotherapeutic treatment for malignant glioma, NovoTTFA, as well as a summary of current treatment options for recurrence. EXPERT OPINION Current research for treating malignant gliomas are paving the path to personalized therapy, including immunotherapy, that involve integrated genomic and histolopathologic data, as well as a multi-modal treatment regimen. Immunotherapy will potentially be the next addition to the current standard of care, specialized to the antigens presented on the tumors. The results of the current trials of multi-antigen vaccines are eagerly anticipated.
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Affiliation(s)
- Jennifer H Kang
- a 1 Duke University School of Medicine , Box 3807, Durham, NC, USA
| | - Cory Adamson
- b 2 Director, Molecular Neuro-oncology Lab, Duke Medical Center , DUMC Box 3807, Durham, NC, USA.,c 3 Chief of Neurosurgery, Durham VA Medical Center , 508 Fulton Street, Durham, NC, USA +1 919 698 3152 ; .,d 4 Duke Medical Center , DUMC Box 3807, Durham, NC, USA
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21
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Abstract
Glioblastoma is a grade IV astrocytoma that is widely accepted in clinical neurosurgery as being an extremely lethal diagnosis. Long-term survival rates remain dismal, and even when tumors undergo gross resection with confirmation of total removal on neuroimaging, they invariably recur with even greater virulence. Standard therapeutic modalities as well as more contemporary treatments have largely resulted in disappointing improvements. However, the therapeutic potential of vaccine immunotherapy for malignant glioma should not be underestimated. In contrast to many of the available treatments, vaccine immunotherapy is unique because it offers the means of delivering treatment that is highly specific to both the patient and the tumor. Peptide, heat-shock proteins, and dendritic cell vaccines collectively encapsulate the majority of research efforts involving vaccine-based treatment modalities. In this review, important recent findings for these vaccine types are discussed in the context of ongoing clinical trials. Broad challenges to immunotherapy are also considered.
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22
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Dendritic Cell-Based Immunotherapy Treatment for Glioblastoma Multiforme. BIOMED RESEARCH INTERNATIONAL 2015; 2015:717530. [PMID: 26167495 PMCID: PMC4488155 DOI: 10.1155/2015/717530] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 01/08/2015] [Indexed: 12/23/2022]
Abstract
Glioblastoma multiforme (GBM) is the most malignant glioma and patients diagnosed with this disease had poor outcomes even treated with the combination of conventional treatment (surgery, chemotherapy, and radiation). Dendritic cells (DCs) are the most powerful antigen presenting cells and DC-based vaccination has the potential to target and eliminate GBM cells and enhance the responses of these cells to the existing therapies with minimal damage to the healthy tissues around them. It can enhance recognition of GBM cells by the patients' immune system and activate vast, potent, and long-lasting immune reactions to eliminate them. Therefore, this therapy can prolong the survival of GBM patients and has wide and bright future in the treatment of GBM. Also, the efficacy of this therapy can be strengthened in several ways at some degree: the manipulation of immune regulatory components or costimulatory molecules on DCs; the appropriate choices of antigens for loading to enhance the effectiveness of the therapy; regulation of positive regulators or negative regulators in GBM microenvironment.
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23
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Ung N, Yang I. Nanotechnology to augment immunotherapy for the treatment of glioblastoma multiforme. J Neurooncol 2015; 123:473-81. [DOI: 10.1007/s11060-015-1814-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Accepted: 05/20/2015] [Indexed: 12/30/2022]
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24
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Biomarkers for glioma immunotherapy: the next generation. J Neurooncol 2015; 123:359-72. [PMID: 25724916 DOI: 10.1007/s11060-015-1746-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 02/16/2015] [Indexed: 12/11/2022]
Abstract
The term "biomarker" historically refers to a single parameter, such as the expression level of a gene or a radiographic pattern, used to indicate a broader biological state. Molecular indicators have been applied to several aspects of cancer therapy: to describe the genotypic and phenotypic state of neoplastic tissue for prognosis, to predict susceptibility to anti-proliferative agents, to validate the presence of specific drug targets, and to evaluate responsiveness to therapy. For glioblastoma (GBM), immunohistochemical and radiographic biomarkers accessible to the clinical lab have informed traditional regimens, but while immunotherapies have emerged as potentially disruptive weapons against this diffusely infiltrating, heterogeneous tumor, biomarkers with strong predictive power have not been fully established. The cancer immunotherapy field, through the recently accelerated expansion of trials, is currently leveraging this wealth of clinical and biological data to define and revise the use of biomarkers for improving prognostic accuracy, personalization of therapy, and evaluation of responses across the wide variety of tumors. Technological advancements in DNA sequencing, cytometry, and microscopy have facilitated the exploration of more integrated, high-dimensional profiling of the disease system-incorporating both immune and tumor parameters-rather than single metrics, as biomarkers for therapeutic sensitivity. Here we discuss the utility of traditional GBM biomarkers in immunotherapy and how the impending transformation of the biomarker paradigm-from single markers to integrated profiles-may offer the key to bringing predictive, personalized immunotherapy to GBM patients.
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25
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Bloy N, Pol J, Aranda F, Eggermont A, Cremer I, Fridman WH, Fučíková J, Galon J, Tartour E, Spisek R, Dhodapkar MV, Zitvogel L, Kroemer G, Galluzzi L. Trial watch: Dendritic cell-based anticancer therapy. Oncoimmunology 2014; 3:e963424. [PMID: 25941593 DOI: 10.4161/21624011.2014.963424] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 09/05/2014] [Indexed: 02/06/2023] Open
Abstract
The use of patient-derived dendritic cells (DCs) as a means to elicit therapeutically relevant immune responses in cancer patients has been extensively investigated throughout the past decade. In this context, DCs are generally expanded, exposed to autologous tumor cell lysates or loaded with specific tumor-associated antigens (TAAs), and then reintroduced into patients, often in combination with one or more immunostimulatory agents. As an alternative, TAAs are targeted to DCs in vivo by means of monoclonal antibodies, carbohydrate moieties or viral vectors specific for DC receptors. All these approaches have been shown to (re)activate tumor-specific immune responses in mice, often mediating robust therapeutic effects. In 2010, the first DC-based preparation (sipuleucel-T, also known as Provenge®) has been approved by the US Food and Drug Administration (FDA) for use in humans. Reflecting the central position occupied by DCs in the regulation of immunological tolerance and adaptive immunity, the interest in harnessing them for the development of novel immunotherapeutic anticancer regimens remains high. Here, we summarize recent advances in the preclinical and clinical development of DC-based anticancer therapeutics.
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Key Words
- DC, dendritic cell
- DC-based vaccination
- FDA, Food and Drug Administration
- IFN, interferon
- MRC1, mannose receptor, C type 1
- MUC1, mucin 1
- TAA, tumor-associated antigen
- TLR, Toll-like receptor
- Toll-like receptor agonists
- Treg, regulatory T cell
- WT1, Wilms tumor 1
- antigen cross-presentation
- autophagy
- iDC, immature DC
- immunogenic cell death
- mDC, mature DC
- pDC, plasmacytoid DC
- regulatory T cells
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Affiliation(s)
- Norma Bloy
- Gustave Roussy Cancer Campus ; Villejuif, France ; INSERM , U1138; Paris France ; Equipe 11 labellisée par la Ligue Nationale contre le Cancer; Centre de Recherche des Cordeliers ; Paris France ; Université Paris-Sud/Paris XI ; Orsay, France
| | - Jonathan Pol
- Gustave Roussy Cancer Campus ; Villejuif, France ; INSERM , U1138; Paris France ; Equipe 11 labellisée par la Ligue Nationale contre le Cancer; Centre de Recherche des Cordeliers ; Paris France
| | - Fernando Aranda
- Gustave Roussy Cancer Campus ; Villejuif, France ; INSERM , U1138; Paris France ; Equipe 11 labellisée par la Ligue Nationale contre le Cancer; Centre de Recherche des Cordeliers ; Paris France
| | | | - Isabelle Cremer
- INSERM , U1138; Paris France ; Equipe 13; Centre de Recherche des Cordeliers ; Paris France ; Université Pierre et Marie Curie/Paris VI ; Paris France
| | - Wolf Hervé Fridman
- INSERM , U1138; Paris France ; Equipe 13; Centre de Recherche des Cordeliers ; Paris France ; Université Pierre et Marie Curie/Paris VI ; Paris France
| | - Jitka Fučíková
- Department of Immunology; 2nd Medical School Charles University and University Hospital Motol ; Prague, Czech Republic ; Sotio a.s. ; Prague, Czech Republic
| | - Jérôme Galon
- INSERM , U1138; Paris France ; Université Pierre et Marie Curie/Paris VI ; Paris France ; Laboratory of Integrative Cancer Immunology; Centre de Recherche des Cordeliers ; Paris France ; Université Paris Descartes/Paris V; Sorbonne Paris Cité ; Paris France
| | - Eric Tartour
- Université Paris Descartes/Paris V; Sorbonne Paris Cité ; Paris France ; INSERM , U970; Paris France ; Pôle de Biologie; Hôpital Européen Georges Pompidou, AP-HP ; Paris France
| | - Radek Spisek
- Department of Immunology; 2nd Medical School Charles University and University Hospital Motol ; Prague, Czech Republic ; Sotio a.s. ; Prague, Czech Republic
| | - Madhav V Dhodapkar
- Department of Medicine; Immunobiology and Yale Cancer Center; Yale University ; New Haven, CT USA
| | - Laurence Zitvogel
- Gustave Roussy Cancer Campus ; Villejuif, France ; INSERM, U1015, CICBT507 ; Villejuif, France
| | - Guido Kroemer
- INSERM , U1138; Paris France ; Equipe 11 labellisée par la Ligue Nationale contre le Cancer; Centre de Recherche des Cordeliers ; Paris France ; Université Paris Descartes/Paris V; Sorbonne Paris Cité ; Paris France ; Pôle de Biologie; Hôpital Européen Georges Pompidou, AP-HP ; Paris France ; Metabolomics and Cell Biology Platforms; Gustave Roussy Cancer Campus ; Villejuif, France
| | - Lorenzo Galluzzi
- Gustave Roussy Cancer Campus ; Villejuif, France ; INSERM , U1138; Paris France ; Equipe 11 labellisée par la Ligue Nationale contre le Cancer; Centre de Recherche des Cordeliers ; Paris France ; Université Paris Descartes/Paris V; Sorbonne Paris Cité ; Paris France
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