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Montoya M, Gallus M, Phyu S, Haegelin J, de Groot J, Okada H. A Roadmap of CAR-T-Cell Therapy in Glioblastoma: Challenges and Future Perspectives. Cells 2024; 13:726. [PMID: 38727262 PMCID: PMC11083543 DOI: 10.3390/cells13090726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 04/20/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
Glioblastoma (GBM) is the most common primary malignant brain tumor, with a median overall survival of less than 2 years and a nearly 100% mortality rate under standard therapy that consists of surgery followed by combined radiochemotherapy. Therefore, new therapeutic strategies are urgently needed. The success of chimeric antigen receptor (CAR) T cells in hematological cancers has prompted preclinical and clinical investigations into CAR-T-cell treatment for GBM. However, recent trials have not demonstrated any major success. Here, we delineate existing challenges impeding the effectiveness of CAR-T-cell therapy for GBM, encompassing the cold (immunosuppressive) microenvironment, tumor heterogeneity, T-cell exhaustion, local and systemic immunosuppression, and the immune privilege inherent to the central nervous system (CNS) parenchyma. Additionally, we deliberate on the progress made in developing next-generation CAR-T cells and novel innovative approaches, such as low-intensity pulsed focused ultrasound, aimed at surmounting current roadblocks in GBM CAR-T-cell therapy.
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Affiliation(s)
- Megan Montoya
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Marco Gallus
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Su Phyu
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Jeffrey Haegelin
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - John de Groot
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA
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Blakstad H, Mendoza Mireles EE, Heggebø LC, Magelssen H, Sprauten M, Johannesen TB, Vik-Mo EO, Leske H, Niehusmann P, Skogen K, Helseth E, Emblem KE, Brandal P. Incidence and outcome of pseudoprogression after radiation therapy in glioblastoma patients: A cohort study. Neurooncol Pract 2024; 11:36-45. [PMID: 38222046 PMCID: PMC10785573 DOI: 10.1093/nop/npad063] [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: 01/16/2024] Open
Abstract
Background Differentiating post-radiation MRI changes from progressive disease (PD) in glioblastoma (GBM) patients represents a major challenge. The clinical problem is two-sided; avoid termination of effective therapy in case of pseudoprogression (PsP) and continuation of ineffective therapy in case of PD. We retrospectively assessed the incidence, management, and prognostic impact of PsP and analyzed factors associated with PsP in a GBM patient cohort. Methods Consecutive GBM patients diagnosed in the South-Eastern Norway Health Region from 2015 to 2018 who had received RT and follow-up MRI were included. Tumor, patient, and treatment characteristics were analyzed in relationship to re-evaluated MRI examinations at 3 and 6 months post-radiation using Response Assessment in Neuro-Oncology criteria. Results A total of 284 patients were included in the study. PsP incidence 3 and 6 months post-radiation was 19.4% and 7.0%, respectively. In adjusted analyses, methylated O6-methylguanine-DNA methyltransferase (MGMT) promoter and the absence of neurological deterioration were associated with PsP at both 3 (p < .001 and p = .029, respectively) and 6 months (p = .045 and p = .034, respectively) post-radiation. For patients retrospectively assessed as PD 3 months post-radiation, there was no survival benefit of treatment change (p = .838). Conclusions PsP incidence was similar to previous reports. In addition to the previously described correlation of methylated MGMT promoter with PsP, we also found that absence of neurological deterioration significantly correlated with PsP. Continuation of temozolomide courses did not seem to compromise survival for patients with PD at 3 months post-radiation; therefore, we recommend continuing adjuvant temozolomide courses in case of inconclusive MRI findings.
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Affiliation(s)
- Hanne Blakstad
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eduardo Erasmo Mendoza Mireles
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Oslo University Hospital, Oslo, Norway
| | - Liv Cathrine Heggebø
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Mette Sprauten
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Tom Børge Johannesen
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Cancer Registry of Norway, Oslo, Norway
| | - Einar Osland Vik-Mo
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Oslo University Hospital, Oslo, Norway
| | - Henning Leske
- Department of Pathology, Oslo University Hospital, Oslo
- University of Oslo, Oslo, Norway
| | - Pitt Niehusmann
- Department of Pathology, Oslo University Hospital, Oslo
- Division of Cancer Medicine, Oslo University Hospital, Oslo
| | - Karoline Skogen
- Department of Radiology, Oslo University Hospital, Oslo, Norway
| | - Eirik Helseth
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Kyrre Eeg Emblem
- Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Petter Brandal
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway
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Karabacak M, Jagtiani P, Di L, Shah AH, Komotar RJ, Margetis K. Advancing precision prognostication in neuro-oncology: Machine learning models for data-driven personalized survival predictions in IDH-wildtype glioblastoma. Neurooncol Adv 2024; 6:vdae096. [PMID: 38983675 PMCID: PMC11232516 DOI: 10.1093/noajnl/vdae096] [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: 07/11/2024] Open
Abstract
Background Glioblastoma (GBM) remains associated with a dismal prognoses despite standard therapies. While population-level survival statistics are established, generating individualized prognosis remains challenging. We aim to develop machine learning (ML) models that generate personalized survival predictions for GBM patients to enhance prognostication. Methods Adult patients with histologically confirmed IDH-wildtype GBM from the National Cancer Database (NCDB) were analyzed. ML models were developed with TabPFN, TabNet, XGBoost, LightGBM, and Random Forest algorithms to predict mortality at 6, 12, 18, and 24 months postdiagnosis. SHapley Additive exPlanations (SHAP) were employed to enhance the interpretability of the models. Models were primarily evaluated using the area under the receiver operating characteristic (AUROC) values, and the top-performing models indicated by the highest AUROCs for each outcome were deployed in a web application that was created for individualized predictions. Results A total of 7537 patients were retrieved from the NCDB. Performance evaluation revealed the top-performing models for each outcome were built using the TabPFN algorithm. The TabPFN models yielded mean AUROCs of 0.836, 0.78, 0.732, and 0.724 in predicting 6, 12, 18, and 24 month mortality, respectively. Conclusions This study establishes ML models tailored to individual patients to enhance GBM prognostication. Future work should focus on external validation and dynamic updating as new data emerge.
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Affiliation(s)
- Mert Karabacak
- Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA
| | - Pemla Jagtiani
- School of Medicine, SUNY Downstate Health Sciences University, New York, New York, USA
| | - Long Di
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ashish H Shah
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ricardo J Komotar
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
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Pichler J, Traub-Weidinger T, Spiegl K, Imamovic L, Braat AJAT, Snijders TJ, Verhoeff JJC, Flamen P, Tauchmanova L, Hayward C, Kluge A. Results from a phase I study of 4- l-[131I]iodo-phenylalanine ([ 131I]IPA) with external radiation therapy in patients with recurrent glioblastoma (IPAX-1). Neurooncol Adv 2024; 6:vdae130. [PMID: 39211520 PMCID: PMC11358817 DOI: 10.1093/noajnl/vdae130] [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: 09/04/2024] Open
Abstract
Background Glioblastoma (GBM), the most common malignant brain tumor, is associated with devastating outcomes. IPAX-1 was a multicenter, open-label, single-arm phase I study to evaluate carrier-added 4-L-[131I]iodo-phenylalanine ([131I]IPA) plus external radiation therapy (XRT) in recurrent GBM. Methods A total of 10 adults with recurrent GBM who had received first-line debulking surgery plus radio-chemotherapy, were randomized to a single-dose regimen (1f; 131I-IPA 2 GBq before XRT); a fractionated parallel dose regimen (3f-p; 3 131I-IPA 670 MBq fractions, in parallel with second-line XRT), or a fractionated sequential dose regimen (3f-s; 3 131I-IPA 670 MBq fractions before and after XRT). Metabolic tumor responses were determined using O-(2-[18F]fluoroethyl)-l-tyrosine positron emission tomography, while single-photon emission computed tomography was used to guide [131I]IPA tumor dosimetry. Results All dose regimens were well tolerated. Organ-absorbed radiation doses in red marrow (0.38 Gy) and kidney (1.28 Gy) confirmed no radiation-based toxicity. Stable disease was observed in 4 of the 9 patients at 3 months post-treatment (3-month follow-up [FU], 1 patient did not reach protocol-mandated end of study), yielding a response rate of 44.4%. At the 3-month FU, 6 patients demonstrated metabolic stable disease. Median progression-free survival was 4.3 months (95% confidence interval [CI]: 3.3-4.5), while median overall survival was 13 months (95% CI: 7.1-27). Conclusions Single or fractionated doses of [131I]IPA plus XRT were associated with acceptable tolerability and specific tumor targeting in patients with recurrent GBM, warranting further investigation.
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Affiliation(s)
- Josef Pichler
- Department of Internal Medicine and Neuro-oncology, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Kurt Spiegl
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern, Linz, Austria
| | - Larisa Imamovic
- Department of Nuclear Medicine, Ordensklinikum Linz Barmherzige Schwestern, Linz, Austria
| | - Arthur J A T Braat
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tom J Snijders
- Department of Neurology, University Medical Center Utrecht, Brain Center, Utrecht, The Netherlands
| | - Joost J C Verhoeff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Patrick Flamen
- Department of Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Colin Hayward
- TelixPharmaceuticals, North Melbourne, VIC, Australia
| | - Andreas Kluge
- ABX - CRO Advanced Pharmaceutical Services Forschungsgesellschaft, Dresden, Germany
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Krolicki L, Kunikowska J, Cordier D, Slavova N, Koziara H, Bruchertseifer F, Maecke HR, Morgenstern A, Merlo A. Long-Term Tumor Control Following Targeted Alpha Therapy (TAT) of Low-Grade Gliomas (LGGs): A New Treatment Paradigm? Int J Mol Sci 2023; 24:15701. [PMID: 37958683 PMCID: PMC10650612 DOI: 10.3390/ijms242115701] [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: 09/14/2023] [Revised: 10/15/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
The median survival time has been reported to vary between 5 and 8 years in low-grade (WHO grade 2) astrocytoma, and between 10 and 15 years for grade 2 oligodendroglioma. Targeted alpha therapy (TAT), using the modified peptide vector [213Bi]Bi/[225Ac]Ac-DOTA-substance P, has been developed to treat glioblastoma (GBM), a prevalent malignant brain tumor. In order to assess the risk of late neurotoxicity, assuming that reduced tumor cell proliferation and invasion should directly translate into good responses in low-grade gliomas (LGGs), a limited number of patients with diffuse invasive astrocytoma (n = 8) and oligodendroglioma (n = 3) were offered TAT. In two oligodendroglioma patients, TAT was applied as a second-line treatment for tumor progression, 10 years after targeted beta therapy using [90Y]Y-DOTA-substance P. The radiopharmaceutical was locally injected directly into the tumor via a stereotactic insertion of a capsule-catheter system. The activity used for radiolabeling was 2-2.5 GBq of Bismuth-213 and 17 to 35 MBq of Actinium-225, mostly applied in a single fraction. The recurrence-free survival times were in the range of 2 to 16 years (median 11 years) in low-grade astrocytoma (n = 8), in which TAT was administered following a biopsy or tumor debulking. Regarding oligodendroglioma, the recurrence-free survival time was 24 years in the first case treated, and 4 and 5 years in the two second-line cases. In conclusion, TAT leads to long-term tumor control in the majority of patients with LGG, and recurrence has so far not manifested in patients with low-grade (grade 2) astrocytomas who received TAT as a first-line therapy. We conclude that targeted alpha therapy has the potential to become a new treatment paradigm in LGG.
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Affiliation(s)
- Leszek Krolicki
- Nuclear Medicine Department, Medical University of Warsaw, 02-091 Warsaw, Poland; (L.K.); (J.K.)
| | - Jolanta Kunikowska
- Nuclear Medicine Department, Medical University of Warsaw, 02-091 Warsaw, Poland; (L.K.); (J.K.)
| | - Dominik Cordier
- Neurosurgery Department, University Hospital Basel, 4031 Basel, Switzerland;
| | - Nedelina Slavova
- Department of Neurology, Inselspital, University Hospital Bern, 3010 Bern, Switzerland;
| | - Henryk Koziara
- Department of Neurosurgery, Institute of Psychiatry and Neurology, 02-957 Warsaw, Poland;
| | - Frank Bruchertseifer
- European Commission, Joint Research Centre (JRC), 76125 Karlsruhe, Germany; (F.B.); (A.M.)
| | - Helmut R. Maecke
- Nuclear Medicine and Radiochemistry, University Hospital Basel, 4031 Basel, Switzerland
| | - Alfred Morgenstern
- European Commission, Joint Research Centre (JRC), 76125 Karlsruhe, Germany; (F.B.); (A.M.)
| | - Adrian Merlo
- Department of Neurosurgery, Bern and University of Basel, 4001 Basel, Switzerland
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