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Rudà R, Horbinski C, van den Bent M, Preusser M, Soffietti R. IDH inhibition in gliomas: from preclinical models to clinical trials. Nat Rev Neurol 2024; 20:395-407. [PMID: 38760442 DOI: 10.1038/s41582-024-00967-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Abstract
Gliomas are the most common malignant primary brain tumours in adults and cannot usually be cured with standard cancer treatments. Gliomas show intratumoural and intertumoural heterogeneity at the histological and molecular levels, and they frequently contain mutations in the isocitrate dehydrogenase 1 (IDH1) or IDH2 gene. IDH-mutant adult-type diffuse gliomas are subdivided into grade 2, 3 or 4 IDH-mutant astrocytomas and grade 2 or 3 IDH-mutant, 1p19q-codeleted oligodendrogliomas. The product of the mutated IDH genes, D-2-hydroxyglutarate (D-2-HG), induces global DNA hypermethylation and interferes with immunity, leading to stimulation of tumour growth. Selective inhibitors of mutant IDH, such as ivosidenib and vorasidenib, have been shown to reduce D-2-HG levels and induce cellular differentiation in preclinical models and to induce MRI-detectable responses in early clinical trials. The phase III INDIGO trial has demonstrated superiority of vorasidenib, a brain-penetrant pan-mutant IDH inhibitor, over placebo in people with non-enhancing grade 2 IDH-mutant gliomas following surgery. In this Review, we describe the pathway of development of IDH inhibitors in IDH-mutant low-grade gliomas from preclinical models to clinical trials. We discuss the practice-changing implications of the INDIGO trial and consider new avenues of investigation in the field of IDH-mutant gliomas.
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Affiliation(s)
- Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Turin, Italy.
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Martin van den Bent
- Brain Tumour Center at Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Turin, Italy
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Dobber L, Geurts M, van den Bent MJ. Tumor growth in recurrent glioblastoma-RANO: when to plan the baseline scan? Neuro Oncol 2024:noae095. [PMID: 38856584 DOI: 10.1093/neuonc/noae095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2024] Open
Affiliation(s)
- Lisa Dobber
- Department of Neurology, Erasmus MC Cancer Center, Rotterdam, The Netherlands
| | - Marjolein Geurts
- Department of Medical Oncology, Erasmus MC Cancer Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC Cancer Center, Rotterdam, The Netherlands
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3
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Bhatia A, Moreno R, Reiner AS, Nandakumar S, Walch HS, Thomas TM, Nicklin PJ, Choi Y, Skakodub A, Malani R, Prabhakaran V, Tiwari P, Diaz M, Panageas KS, Mellinghoff IK, Bale TA, Young RJ. Tumor Volume Growth Rates and Doubling Times during Active Surveillance of IDH-mutant Low-Grade Glioma. Clin Cancer Res 2024; 30:106-115. [PMID: 37910594 PMCID: PMC10841595 DOI: 10.1158/1078-0432.ccr-23-1180] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/03/2023] [Accepted: 10/30/2023] [Indexed: 11/03/2023]
Abstract
PURPOSE Isocitrate dehydrogenase-mutant (IDH-mt) gliomas are incurable primary brain tumors characterized by a slow-growing phase over several years followed by a rapid-growing malignant phase. We hypothesized that tumor volume growth rate (TVGR) on MRI may act as an earlier measure of clinical benefit during the active surveillance period. EXPERIMENTAL DESIGN We integrated three-dimensional volumetric measurements with clinical, radiologic, and molecular data in a retrospective cohort of IDH-mt gliomas that were observed after surgical resection in order to understand tumor growth kinetics and the impact of molecular genetics. RESULTS Using log-linear mixed modeling, the entire cohort (n = 128) had a continuous %TVGR per 6 months of 10.46% [95% confidence interval (CI), 9.11%-11.83%] and a doubling time of 3.5 years (95% CI, 3.10-3.98). High molecular grade IDH-mt gliomas, defined by the presence of homozygous deletion of CDKN2A/B, had %TVGR per 6 months of 19.17% (95% CI, 15.57%-22.89%) which was significantly different from low molecular grade IDH-mt gliomas with a growth rate per 6 months of 9.54% (95% CI, 7.32%-11.80%; P < 0.0001). Using joint modeling to comodel the longitudinal course of TVGR and overall survival, we found each one natural logarithm tumor volume increase resulted in more than a 3-fold increase in risk of death (HR = 3.83; 95% CI, 2.32-6.30; P < 0.0001). CONCLUSIONS TVGR may be used as an earlier measure of clinical benefit and correlates well with the WHO 2021 molecular classification of gliomas and survival. Incorporation of TVGR as a surrogate endpoint into future prospective studies of IDH-mt gliomas may accelerate drug development.
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Affiliation(s)
- Ankush Bhatia
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Raquel Moreno
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Subhiksha Nandakumar
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Henry S Walch
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Teena M Thomas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Philip J Nicklin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Ye Choi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Anna Skakodub
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Rachna Malani
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Vivek Prabhakaran
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Pallavi Tiwari
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Maria Diaz
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Katherine S. Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Ingo K Mellinghoff
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Tejus A Bale
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
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4
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Kamson DO, Puri S, Sang Y, Shi MJ, Blair L, Blakeley JO, Laterra J. Impact of Frontline Ivosidenib on Volumetric Growth Patterns in Isocitrate Dehydrogenase-mutant Astrocytic and Oligodendroglial Tumors. Clin Cancer Res 2023; 29:4863-4869. [PMID: 37382607 PMCID: PMC10756070 DOI: 10.1158/1078-0432.ccr-23-0585] [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: 02/27/2023] [Revised: 04/01/2023] [Accepted: 06/27/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE Isocitrate dehydrogenase (IDH)-mutant gliomas are usually treated with radiotherapy and chemotherapy, which increases the risk for neurocognitive sequelae during patients' most productive years. We report our experience using off-label first-in-class mutant IDH1 inhibitor ivosidenib and its impact on tumor volume in IDH-mutant gliomas. EXPERIMENTAL DESIGN We retrospectively analyzed patients ages ≥18 years with radiation/chemotherapy-naïve, mutant IDH1, nonenhancing, radiographically active, grade 2/3 gliomas, and ≥2 pretreatment and ≥2 on-treatment ivosidenib MRIs. T2/FLAIR-based tumor volumes, growth rates, and progression-free survival (PFS) were analyzed. log-linear mixed-effect modeling of growth curves adjusted for grade, histology, and age was performed. RESULTS We analyzed 116 MRIs of 12 patients [10 males, median age 46 years (range: 26-60)]: 8 astrocytomas (50% grade 3) and 4 grade 2 oligodendrogliomas. Median on-drug follow-up was 13.2 months [interquartile range (IQR): 9.7-22.2]. Tolerability was 100%. A total of 50% of patients experienced ≥20% tumor volume reduction on-treatment and absolute growth rate was lower during treatment (-1.2 ± 10.6 cc/year) than before treatment (8.0 ± 7.7 cc/year; P ≤ 0.05). log-linear models in the Stable group (n = 9) showed significant growth before treatment (53%/year; P = 0.013), and volume reduction (-34%/year; P = 0.037) after 5 months on treatment. After treatment, volume curves were significantly lower than before treatment (after/before treatment ratio 0.5; P < 0.01). Median time-to-best response was 11.2 (IQR: 1.7-33.4) months, and 16.8 (IQR: 2.6-33.5) months in patients on drug for ≥1 year. PFS at 9 months was 75%. CONCLUSIONS Ivosidenib was well tolerated and induced a high volumetric response rate. Responders had significant reduction in tumor growth rates and volume reductions observed after a 5-month delay. Thus, ivosidenib appears useful to control tumor growth and delay more toxic therapies in IDH-mutant nonenhancing indolently growing gliomas. See related commentary by Lukas and Horbinski, p. 4709.
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Affiliation(s)
- David Olayinka Kamson
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Sushant Puri
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA
| | - Meihui Jessica Shi
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Lindsay Blair
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Jaishri O. Blakeley
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - John Laterra
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
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5
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Wen PY, van den Bent M, Youssef G, Cloughesy TF, Ellingson BM, Weller M, Galanis E, Barboriak DP, de Groot J, Gilbert MR, Huang R, Lassman AB, Mehta M, Molinaro AM, Preusser M, Rahman R, Shankar LK, Stupp R, Villanueva-Meyer JE, Wick W, Macdonald DR, Reardon DA, Vogelbaum MA, Chang SM. RANO 2.0: Update to the Response Assessment in Neuro-Oncology Criteria for High- and Low-Grade Gliomas in Adults. J Clin Oncol 2023; 41:5187-5199. [PMID: 37774317 PMCID: PMC10860967 DOI: 10.1200/jco.23.01059] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/12/2023] [Accepted: 08/10/2023] [Indexed: 10/01/2023] Open
Abstract
PURPOSE The Response Assessment in Neuro-Oncology (RANO) criteria for high-grade gliomas (RANO-HGG) and low-grade gliomas (RANO-LGG) were developed to improve reliability of response assessment in glioma trials. Over time, some limitations of these criteria were identified, and challenges emerged regarding integrating features of the modified RANO (mRANO) or the immunotherapy RANO (iRANO) criteria. METHODS Informed by data from studies evaluating the different criteria, updates to the RANO criteria are proposed (RANO 2.0). RESULTS We recommend a standard set of criteria for both high- and low-grade gliomas, to be used for all trials regardless of the treatment modalities being evaluated. In the newly diagnosed setting, the postradiotherapy magnetic resonance imaging (MRI), rather than the postsurgical MRI, will be used as the baseline for comparison with subsequent scans. Since the incidence of pseudoprogression is high in the 12 weeks after radiotherapy, continuation of treatment and confirmation of progression during this period with a repeat MRI, or histopathologic evidence of unequivocal recurrent tumor, are required to define tumor progression. However, confirmation scans are not mandatory after this period nor for the evaluation of treatment for recurrent tumors. For treatments with a high likelihood of pseudoprogression, mandatory confirmation of progression with a repeat MRI is highly recommended. The primary measurement remains the maximum cross-sectional area of tumor (two-dimensional) but volumetric measurements are an option. For IDH wild-type glioblastoma, the nonenhancing disease will no longer be evaluated except when assessing response to antiangiogenic agents. In IDH-mutated tumors with a significant nonenhancing component, clinical trials may require evaluating both the enhancing and nonenhancing tumor components for response assessment. CONCLUSION The revised RANO 2.0 criteria refine response assessment in gliomas.
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Affiliation(s)
- Patrick Y. Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Martin van den Bent
- Department Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Gilbert Youssef
- Center for Neuro-Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Timothy F. Cloughesy
- UCLA Brain Tumor Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Benjamin M. Ellingson
- UCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | | | - John de Groot
- Division of Neuro-Oncology, Department of Neurosurgery, University of California, San Francisco, CA
| | - Mark R. Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Raymond Huang
- Division of Neuro-radiology, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Andrew B. Lassman
- Division of Neuro-Oncology, Department of Neurology, Herbert Irving Comprehensive Cancer Center and Irving Institute for Clinical and Translational Research, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian Hospital, New York, NY
| | | | - Annette M. Molinaro
- Division of Biomedical Statistics and Informatics, Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Rifaquat Rahman
- Department of Radiation Oncology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Lalitha K. Shankar
- Clinical Trials Branch, Cancer Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Roger Stupp
- Malnati Brain Tumor Institute, Lurie Comprehensive Cancer Center and Departments of Neurological Surgery, Neurology and Division of Hematology/Oncology, Northwestern University, Chicago, IL
| | | | - Wolfgang Wick
- Department of Neurology Heidelberg University Hospital & Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David R. Macdonald
- Departments of Clinical Neurological Sciences and Oncology (Emeritus), Western University, London, Ontario, Canada
| | - David A. Reardon
- Center for Neuro-Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Michael A. Vogelbaum
- Departments of Neuro-Oncology and Neurosurgery, Moffitt Cancer Center, Tampa, FL
| | - Susan M. Chang
- Division of Neuro-Oncology, Department of Neurosurgery, University of California, San Francisco, CA
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6
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Ellingson BM, Wen PY, Cloughesy TF. Reply to Di Nunno et al. concerning objective response rates targets for recurrent glioblastoma clinical trials: Toward surrogate endpoints for phase II trials in patients with recurrent glioblastoma. Neuro Oncol 2023; 25:1548-1549. [PMID: 37167013 PMCID: PMC10398798 DOI: 10.1093/neuonc/noad085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023] Open
Affiliation(s)
- Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Los Angeles, California, USA
- UCLA Neuro-Oncology Program, University of California Los Angeles, Los Angeles, California, USA
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California, USA
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, University of California Los Angeles, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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Ellingson BM, Wen PY, Chang SM, van den Bent M, Vogelbaum MA, Li G, Li S, Kim J, Youssef G, Wick W, Lassman AB, Gilbert MR, de Groot JF, Weller M, Galanis E, Cloughesy TF. Objective response rate targets for recurrent glioblastoma clinical trials based on the historic association between objective response rate and median overall survival. Neuro Oncol 2023; 25:1017-1028. [PMID: 36617262 PMCID: PMC10237425 DOI: 10.1093/neuonc/noad002] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Indexed: 01/09/2023] Open
Abstract
Durable objective response rate (ORR) remains a meaningful endpoint in recurrent cancer; however, the target ORR for single-arm recurrent glioblastoma trials has not been based on historic information or tied to patient outcomes. The current study reviewed 68 treatment arms comprising 4793 patients in past trials in recurrent glioblastoma in order to judiciously define target ORRs for use in recurrent glioblastoma trials. ORR was estimated at 6.1% [95% CI 4.23; 8.76%] for cytotoxic chemothera + pies (ORR = 7.59% for lomustine, 7.57% for temozolomide, 0.64% for irinotecan, and 5.32% for other agents), 3.37% for biologic agents, 7.97% for (select) immunotherapies, and 26.8% for anti-angiogenic agents. ORRs were significantly correlated with median overall survival (mOS) across chemotherapy (R2= 0.4078, P < .0001), biologics (R2= 0.4003, P = .0003), and immunotherapy trials (R2= 0.8994, P < .0001), but not anti-angiogenic agents (R2= 0, P = .8937). Pooling data from chemotherapy, biologics, and immunotherapy trials, a meta-analysis indicated a strong correlation between ORR and mOS (R2= 0.3900, P < .0001; mOS [weeks] = 1.4xORR + 24.8). Assuming an ineffective cytotoxic (control) therapy has ORR = 7.6%, the average ORR for lomustine and temozolomide trials, a sample size of ≥40 patients with target ORR>25% is needed to demonstrate statistical significance compared to control with a high level of confidence (P < .01) and adequate power (>80%). Given this historic data and potential biases in patient selection, we recommend that well-controlled, single-arm phase II studies in recurrent glioblastoma should have a target ORR >25% (which translates to a median OS of approximately 15 months) and a sample size of ≥40 patients, in order to convincingly demonstrate antitumor activity. Crucially, this response needs to have sufficient durability, which was not addressed in the current study.
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Affiliation(s)
- Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Los Angeles, California, USA
- UCLA Neuro-Oncology Program, Los Angeles, California, USA
- Department of Radiological Sciences, Los Angeles, California, USA
- Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California, USA
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Division of Neuro-Oncology, University of California San Francisco, San Francisco, California, USA
| | - Martin van den Bent
- Brain Tumor Center at Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Gang Li
- Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Shanpeng Li
- Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Jiyoon Kim
- Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Gilbert Youssef
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Wolfgang Wick
- Neurology Clinic, University of Heidelberg and Clinical Cooperation Unit Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew B Lassman
- Division of Neuro-Oncology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, New York-Presbyterian Hospital, New York, New York, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - John F de Groot
- Division of Neuro-Oncology, University of California San Francisco, San Francisco, California, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Evanthia Galanis
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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8
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Stember JN, Young RJ, Shalu H. Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. J Digit Imaging 2023; 36:536-546. [PMID: 36396839 PMCID: PMC10039135 DOI: 10.1007/s10278-022-00725-5] [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: 04/06/2022] [Revised: 09/29/2022] [Accepted: 10/25/2022] [Indexed: 11/18/2022] Open
Abstract
Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient management. A core component of advancing cancer treatment research is assessing response to therapy. Doing so by hand, for example, as per RECIST or RANO criteria, is tedious and time-consuming, and can miss important tumor response information. Most notably, the prevalent response criteria often exclude lesions, the non-target lesions, altogether. We wish to assess change in a holistic fashion that includes all lesions, obtaining simple, informative, and automated assessments of tumor progression or regression. Because genetic sub-types of cancer can be fairly specific and patient enrollment in therapy trials is often limited in number and accrual rate, we wish to make response assessments with small training sets. Deep neuroevolution (DNE) is a novel radiology artificial intelligence (AI) optimization approach that performs well on small training sets. Here, we use a DNE parameter search to optimize a convolutional neural network (CNN) that predicts progression versus regression of metastatic brain disease. We analyzed 50 pairs of MRI contrast-enhanced images as our training set. Half of these pairs, separated in time, qualified as disease progression, while the other 25 image pairs constituted regression. We trained the parameters of a CNN via "mutations" that consisted of random CNN weight adjustments and evaluated mutation "fitness" as summed training set accuracy. We then incorporated the best mutations into the next generation's CNN, repeating this process for approximately 50,000 generations. We applied the CNNs to our training set, as well as a separate testing set with the same class balance of 25 progression and 25 regression cases. DNE achieved monotonic convergence to 100% training set accuracy. DNE also converged monotonically to 100% testing set accuracy. We have thus shown that DNE can accurately classify brain metastatic disease progression versus regression. Future work will extend the input from 2D image slices to full 3D volumes, and include the category of "no change." We believe that an approach such as ours can ultimately provide a useful and informative complement to RANO/RECIST assessment and volumetric AI analysis.
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Affiliation(s)
- Joseph N Stember
- Memorial Sloan Kettering Cancer Center, 1275 York Avenue, NY, NY, 10065, USA.
| | - Robert J Young
- Memorial Sloan Kettering Cancer Center, 1275 York Avenue, NY, NY, 10065, USA
| | - Hrithwik Shalu
- Indian Institute of Technology Madras, Madras, Chennai, 600036, India
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9
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Miller JJ, Gonzalez Castro LN, McBrayer S, Weller M, Cloughesy T, Portnow J, Andronesi O, Barnholtz-Sloan JS, Baumert BG, Berger MS, Bi WL, Bindra R, Cahill DP, Chang SM, Costello JF, Horbinski C, Huang RY, Jenkins RB, Ligon KL, Mellinghoff IK, Nabors LB, Platten M, Reardon DA, Shi DD, Schiff D, Wick W, Yan H, von Deimling A, van den Bent M, Kaelin WG, Wen PY. Isocitrate dehydrogenase (IDH) mutant gliomas: A Society for Neuro-Oncology (SNO) consensus review on diagnosis, management, and future directions. Neuro Oncol 2023; 25:4-25. [PMID: 36239925 PMCID: PMC9825337 DOI: 10.1093/neuonc/noac207] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Isocitrate dehydrogenase (IDH) mutant gliomas are the most common adult, malignant primary brain tumors diagnosed in patients younger than 50, constituting an important cause of morbidity and mortality. In recent years, there has been significant progress in understanding the molecular pathogenesis and biology of these tumors, sparking multiple efforts to improve their diagnosis and treatment. In this consensus review from the Society for Neuro-Oncology (SNO), the current diagnosis and management of IDH-mutant gliomas will be discussed. In addition, novel therapies, such as targeted molecular therapies and immunotherapies, will be reviewed. Current challenges and future directions for research will be discussed.
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Affiliation(s)
- Julie J Miller
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - L Nicolas Gonzalez Castro
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Samuel McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, Texas, 75235, USA
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | | | - Jana Portnow
- Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Ovidiu Andronesi
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill S Barnholtz-Sloan
- Informatics and Data Science (IDS), Center for Biomedical Informatics and Information Technology (CBIIT), Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Bethesda, MD, USA
| | - Brigitta G Baumert
- Cantonal Hospital Graubunden, Institute of Radiation-Oncology, Chur, Switzerland
| | - Mitchell S Berger
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Wenya Linda Bi
- Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ranjit Bindra
- Department of Therapeutic Radiology, Brain Tumor Center, Yale School of Medicine, New Haven, CT, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Joseph F Costello
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Northwestern Medicine Malnati Brain Tumor Institute of the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Robert B Jenkins
- Individualized Medicine Research, Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota 55901, USA
| | - Keith L Ligon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ingo K Mellinghoff
- Department of Neurology, Evnin Family Chair in Neuro-Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - L Burt Nabors
- Department of Neurology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - David A Reardon
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Diana D Shi
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David Schiff
- Division of Neuro-Oncology, Department of Neurology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Wolfgang Wick
- Neuro-Oncology at the German Cancer Research Center (DKFZ), Program Chair of Neuro-Oncology at the National Center for Tumor Diseases (NCT), and Neurology and Chairman at the Neurology Clinic in Heidelberg, Heidelberg, Germany
| | - Hai Yan
- Genetron Health Inc, Gaithersburg, Maryland 20879, USA
| | - Andreas von Deimling
- Department of Neuropathology, University Hospital Heidelberg, and, Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), and, DKTK, INF 224, 69120 Heidelberg, Germany
| | - Martin van den Bent
- Brain Tumour Centre, Erasmus MC Cancer Institute, Groene Hilledijk 301, 3075 EA Rotterdam, The Netherlands
| | - William G Kaelin
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
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10
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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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11
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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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