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Narsinh KH, Perez E, Haddad AF, Young JS, Savastano L, Villanueva-Meyer JE, Winkler E, de Groot J. Strategies to Improve Drug Delivery Across the Blood-Brain Barrier for Glioblastoma. Curr Neurol Neurosci Rep 2024; 24:123-139. [PMID: 38578405 PMCID: PMC11016125 DOI: 10.1007/s11910-024-01338-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 04/06/2024]
Abstract
PURPOSE OF REVIEW Glioblastoma remains resistant to most conventional treatments. Despite scientific advances in the past three decades, there has been a dearth of effective new treatments. New approaches to drug delivery and clinical trial design are needed. RECENT FINDINGS We discuss how the blood-brain barrier and tumor microenvironment pose challenges for development of effective therapies for glioblastoma. Next, we discuss treatments in development that aim to overcome these barriers, including novel drug designs such as nanoparticles and antibody-drug conjugates, novel methods of drug delivery, including convection-enhanced and intra-arterial delivery, and novel methods to enhance drug penetration, such as blood-brain barrier disruption by focused ultrasound and laser interstitial thermal therapy. Lastly, we address future opportunities, positing combination therapy as the best strategy for effective treatment, neoadjuvant and window-of-opportunity approaches to simultaneously enhance therapeutic effectiveness with interrogation of on-treatment biologic endpoints, and adaptive platform and basket trials as imperative for future trial design. New approaches to GBM treatment should account for the blood-brain barrier and immunosuppression by improving drug delivery, combining treatments, and integrating novel clinical trial designs.
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Affiliation(s)
- Kazim H Narsinh
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA.
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA.
| | - Edgar Perez
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
| | - Jacob S Young
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
| | - Luis Savastano
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Javier E Villanueva-Meyer
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Ethan Winkler
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - John de Groot
- Department of Neurologic Surgery, University of California, San Francisco, CA, USA
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Morshed RA, Cummins DD, Clark JP, Young JS, Haddad AF, Gogos AJ, Hervey-Jumper SL, Berger MS. Asleep triple-modality motor mapping for perirolandic gliomas: an update on outcomes. J Neurosurg 2024; 140:1029-1037. [PMID: 37856395 DOI: 10.3171/2023.8.jns231036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/08/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVE Maximal safe resection of gliomas near motor pathways is facilitated by intraoperative mapping. Here, the authors review their results with triple-modality asleep motor mapping with motor evoked potentials and bipolar and monopolar stimulation for cortical and subcortical mapping during glioma surgery in an expanded cohort. METHODS This was a retrospective analysis of patients who underwent resection of a perirolandic glioma near motor pathways. Clinical and neuromonitoring data were extracted from the electronic medical records for review. All patients with new or worsened postoperative motor deficits were followed for at least 6 months. Regression analyses were performed to assess factors associated with a persistent motor deficit. RESULTS Between January 2018 and December 2021, 160 operations were performed in 151 patients with perirolandic glioma. Sixty-four patients (40%) had preoperative motor deficits, and the median extent of resection was 98%. Overall, patients in 38 cases (23.8%) had new or worse immediate postoperative deficits by discharge, and persistent deficits by 6 months were seen in 6 cases (3.8%), all in patients with high-grade gliomas. There were no new persistent deficits in low-grade glioma patients (0%). The risk factors for a persistent deficit included an insular tumor component (OR 8.6, p = 0.01), preoperative motor weakness (OR 8.1, p = 0.03), intraoperative motor evoked potential (MEP) changes (OR 36.5, p < 0.0001), and peri-resection cavity ischemia (OR 7.5, p = 0.04). Most persistent deficits were attributable to ischemic injury despite structural preservation of the descending motor tracts. For patients with persistent motor deficits, there were 3 cases (50%) in which a change in MEP was noted but subsequent subcortical monopolar stimulation still elicited a response in the corresponding muscle groups, suggesting axonal activation distal to a point of injury. CONCLUSIONS Asleep triple motor mapping results in a low rate of permanent deficits, especially for low-grade gliomas. Peri-resection cavity ischemia continues to be a significant risk factor for permanent deficit despite maintaining appropriate distance for subcortical tracts based on monopolar feedback.
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Affiliation(s)
- Ramin A Morshed
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Daniel D Cummins
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - John P Clark
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Jacob S Young
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Alexander F Haddad
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Andrew J Gogos
- 2Department of Neurosurgery, St. Vincent's Hospital Melbourne, Victoria, Australia
| | - Shawn L Hervey-Jumper
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Mitchel S Berger
- 1Department of Neurological Surgery, University of California, San Francisco, California; and
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Karschnia P, Dono A, Young JS, Juenger ST, Teske N, Häni L, Sciortino T, Mau CY, Bruno F, Nunez L, Morshed RA, Haddad AF, Weller M, van den Bent M, Thon N, Beck J, Hervey-Jumper S, Molinaro AM, Tandon N, Rudà R, Vogelbaum MA, Bello L, Schnell O, Grau SJ, Chang SM, Berger MS, Esquenazi Y, Tonn JC. Associations between recurrence patterns and outcome in glioblastoma patients undergoing re-resection: A complementary report of the RANO resect group. Neuro Oncol 2024; 26:584-586. [PMID: 38164632 PMCID: PMC10911992 DOI: 10.1093/neuonc/noad237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Christine Y Mau
- Department of Neuro-Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Turin, Italy
| | - Luis Nunez
- Department of Diagnostic and Interventional Imaging, McGovern Medical School at UTHealth Houston, Houston, Texas, USA
| | - Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Alexander F Haddad
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Niklas Thon
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Shawn Hervey-Jumper
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Turin, Italy
| | | | - Lorenzo Bello
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
- Klinikum Fulda, Academic Hospital of Marburg University, Fulda, Germany
| | - Susan M Chang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
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Carrete LR, Morshed RA, Young JS, Avalos LN, Sneed PK, Aghi MK, McDermott MW, Theodosopoulos PV. Analysis of upfront resection or stereotactic radiosurgery for local control of solid and cystic cerebellar hemangioblastomas. J Neurosurg 2024; 140:404-411. [PMID: 37542443 DOI: 10.3171/2023.6.jns222629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 06/04/2023] [Indexed: 08/07/2023]
Abstract
OBJECTIVE The purpose of this study was to identify rates of and risk factors for local tumor progression in patients who had undergone surgery or radiosurgery for the management of cerebellar hemangioblastoma and to describe treatments pursued following tumor progression. METHODS The authors conducted a retrospective single-center review of patients who had undergone treatment of a cerebellar hemangioblastoma with either surgery or stereotactic radiosurgery (SRS) between 1996 and 2019. Univariate and multivariate regression analyses were performed to examine factors associated with local tumor control. RESULTS One hundred nine patients met the study inclusion criteria. Overall, these patients had a total of 577 hemangioblastomas, 229 of which were located in the cerebellum. The surgical and SRS cohorts consisted of 106 and 123 cerebellar hemangioblastomas, respectively. For patients undergoing surgery, tumors were treated with subtotal resection and gross-total resection in 5.7% and 94.3% of cases, respectively. For patients receiving SRS, the mean target volume was 0.71 cm3 and the mean margin dose was 18.0 Gy. Five-year freedom from lesion progression for the surgical and SRS groups was 99% and 82%, respectively. The surgical and SRS cohorts contained 32% versus 97% von Hippel-Lindau tumors, 78% versus 7% cystic hemangioblastomas, and 12.8- versus 0.56-cm3 mean tumor volumes, respectively. On multivariate analysis, factors associated with local tumor progression in the SRS group included older patient age (HR 1.06, 95% CI 1.03-1.09, p < 0.001) and a cystic component (HR 9.0, 95% CI 2.03-32.0, p = 0.001). Repeat SRS as salvage therapy was used more often for smaller tumor recurrences, and no tumor recurrences of < 1.0 cm3 required additional salvage surgery following repeat SRS. CONCLUSIONS Both surgery and SRS achieve high rates of local control of hemangioblastomas. Age and cystic features are associated with local progression after SRS treatment for cerebellar hemangioblastomas. In cases of local tumor recurrence, salvage surgery and repeat SRS are valid forms of treatment to achieve local tumor control, although resection may be preferable for larger recurrences.
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Affiliation(s)
| | | | | | | | - Penny K Sneed
- 2Radiation Oncology, University of California, San Francisco, California
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Mirian C, Jensen LR, Juratli TA, Maier AD, Torp SH, Shih HA, Morshed RA, Young JS, Magill ST, Bertero L, Stummer W, Spille DC, Brokinkel B, Oya S, Miyawaki S, Saito N, Proescholdt M, Kuroi Y, Gousias K, Simon M, Moliterno J, Prat-Acin R, Goutagny S, Prabhu VC, Tsiang JT, Wach J, Güresir E, Yamamoto J, Kim YZ, Lee JH, Koshy M, Perumal K, Baskaya MK, Cannon DM, Shrieve DC, Suh CO, Chang JH, Kamenova M, Straumann S, Soleman J, Eyüpoglu IY, Catalan T, Lui A, Theodosopoulos PV, McDermott MW, Wang F, Guo F, Góes P, de Paiva Neto MA, Jamshidi A, Komotar R, Ivan M, Luther E, Souhami L, Guiot MC, Csonka T, Endo T, Barrett OC, Jensen R, Gupta T, Patel AJ, Klisch TJ, Kim JW, Maiuri F, Barresi V, Tabernero MD, Skyrman S, Broechner A, Bach MJ, Law I, Scheie D, Kristensen BW, Munch TN, Meling T, Fugleholm K, Blanche P, Mathiesen T. The importance of considering competing risks in recurrence analysis of intracranial meningioma. J Neurooncol 2024; 166:503-511. [PMID: 38336917 PMCID: PMC10876814 DOI: 10.1007/s11060-024-04572-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 01/11/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND The risk of recurrence is overestimated by the Kaplan-Meier method when competing events, such as death without recurrence, are present. Such overestimation can be avoided by using the Aalen-Johansen method, which is a direct extension of Kaplan-Meier that accounts for competing events. Meningiomas commonly occur in older individuals and have slow-growing properties, thereby warranting competing risk analysis. The extent to which competing events are considered in meningioma literature is unknown, and the consequences of using incorrect methodologies in meningioma recurrence risk analysis have not been investigated. METHODS We surveyed articles indexed on PubMed since 2020 to assess the usage of competing risk analysis in recent meningioma literature. To compare recurrence risk estimates obtained through Kaplan-Meier and Aalen-Johansen methods, we applied our international database comprising ~ 8,000 patients with a primary meningioma collected from 42 institutions. RESULTS Of 513 articles, 169 were eligible for full-text screening. There were 6,537 eligible cases from our PERNS database. The discrepancy between the results obtained by Kaplan-Meier and Aalen-Johansen was negligible among low-grade lesions and younger individuals. The discrepancy increased substantially in the patient groups associated with higher rates of competing events (older patients with high-grade lesions). CONCLUSION The importance of considering competing events in recurrence risk analysis is poorly recognized as only 6% of the studies we surveyed employed Aalen-Johansen analyses. Consequently, most of the previous literature has overestimated the risk of recurrence. The overestimation was negligible for studies involving low-grade lesions in younger individuals; however, overestimation might have been substantial for studies on high-grade lesions.
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Affiliation(s)
- Christian Mirian
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark.
| | - Lasse Rehné Jensen
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
| | - Tareq A Juratli
- Department of Neurosurgery, Division of Neuro-Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
- Department of Neurosurgery, Laboratory of Translational Neuro-Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, USA
| | - Andrea Daniela Maier
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Pathology, Bartholin Institute, Rigshospitalet, Copenhagen University Hospital , Copenhagen, Denmark
| | - Sverre H Torp
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian, University of Science and Technology (NTNU), Laboratory Centre, St. Olavs Hospital, NO-7491, Trondheim, Norway
- Department of Pathology, Laboratory Centre, St. Olavs Hospital, NO-7030, Trondheim, Norway
| | - Helen A Shih
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ramin A Morshed
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Jacob S Young
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Stephen T Magill
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Illinois, USA
| | - Luca Bertero
- Pathology Unit, Department of Medical Sciences, University and Città Della Salute E Della Scienza University Hospital of Turin, Turin, Italy
| | - Walter Stummer
- Department of Neurosurgery, University of Münster, Münster, Germany
| | | | - Benjamin Brokinkel
- Department of Neurosurgery, University of Münster, Münster, Germany
- Institute for Neuropathology, University of Münster, Münster, Germany
| | - Soichi Oya
- Department of Neurosurgery, Saitama Medical Center/University, Saitama, Japan
| | - Satoru Miyawaki
- Department of Neurosurgery, The University of Tokyo Hospital, Tokyo, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, The University of Tokyo Hospital, Tokyo, Japan
| | - Martin Proescholdt
- Department of Neurosurgery, University Regensburg Medical Center, Regensburg, Germany
| | - Yasuhiro Kuroi
- Department of Neurosurgery, Adachi Medical Center, Tokyo Women's Medical University, Tokyo, Japan
| | | | - Matthias Simon
- Department of Neurosurgery, Bethel Clinic University of Bielefeld Medical Center, Bielefeld, Germany
| | - Jennifer Moliterno
- Department of Neurosurgery, Yale School of Medicine Yale New Haven Hospital, Smilow Cancer Hospital, New Haven, USA
| | | | - Stéphane Goutagny
- Department of Neurosurgery, Université Paris Cité, Beaujon Hospital, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Vikram C Prabhu
- Department of Neurological Surgery, Loyola University Medical Center, Stritch School of Medicine, Illinois, USA
| | - John T Tsiang
- Department of Neurological Surgery, Loyola University Medical Center, Stritch School of Medicine, Illinois, USA
| | - Johannes Wach
- Department of Neurosurgery, University Hospital Leipzig, Leipzig, Germany
| | - Erdem Güresir
- Department of Neurosurgery, University Hospital Leipzig, Leipzig, Germany
| | - Junkoh Yamamoto
- Department of Neurosurgery, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Young Zoon Kim
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Joo Ho Lee
- Department of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Matthew Koshy
- Department of Radiation Oncology, University of Illinois Hospital and Health Sciences System, Illinois, USA
| | - Karthikeyan Perumal
- Department of Neurosurgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Mustafa K Baskaya
- Department of Neurosurgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Donald M Cannon
- Department of Radiation Oncology Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Dennis C Shrieve
- Department of Radiation Oncology Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Chang-Ok Suh
- Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Maria Kamenova
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
| | - Sven Straumann
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
| | - Jehuda Soleman
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
| | - Ilker Y Eyüpoglu
- Department of Neurosurgery, Division of Neuro-Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany
| | - Tony Catalan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Austin Lui
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Michael W McDermott
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Division of Neurosurgery, Miami Neuroscience Institute, Miami, FL, USA
| | - Fang Wang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fuyou Guo
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Pedro Góes
- Department of Neurosurgery, Federal University of São Paulo, São Paulo, Brazil
| | | | - Aria Jamshidi
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Ricardo Komotar
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Michael Ivan
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Evan Luther
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Luis Souhami
- Division of Radiation Oncology, McGill University Health Centre, McGill University, Montreal, QC, Canada
| | | | - Tamás Csonka
- Department of Pathology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Toshiki Endo
- Division of Neurosurgery, Tohoku Medical and Pharmaceutical University, Tohoku, Japan
| | | | - Randy Jensen
- Department of Neurosurgery, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Tejpal Gupta
- Department of Radiation Oncology ACTREC, Tata Memorial Centre, HBNI Kharghar, Navi Mumbai, 410210, India
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, TX , USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX , USA
| | - Tiemo J Klisch
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX , USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jun Won Kim
- Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Francesco Maiuri
- Department of Neurosurgery, University of Naples Federico II, Naples, Italy
| | - Valeria Barresi
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - María Dolores Tabernero
- Instituto de Investigación Biomédica de Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain
| | - Simon Skyrman
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Anders Broechner
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - David Scheie
- Department of Pathology, Bartholin Institute, Rigshospitalet, Copenhagen University Hospital , Copenhagen, Denmark
| | - Bjarne Winther Kristensen
- Department of Pathology, Bartholin Institute, Rigshospitalet, Copenhagen University Hospital , Copenhagen, Denmark
- Department of Clinical Medicine and Biotech Research and Innovation Center (BRIC), University of Copenhagen, Copenhagen, Denmark
| | - Tina Nørgaard Munch
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Torstein Meling
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Neurological Surgery, Istituto Nazionale Neurologico "C.Besta", Milan, Italy
| | - Kåre Fugleholm
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Paul Blanche
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tiit Mathiesen
- Department of Neurosurgery, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Elguindy M, Young JS, Mondal I, Lu RO, Ho WS. Glioma-Immune Cell Crosstalk in Tumor Progression. Cancers (Basel) 2024; 16:308. [PMID: 38254796 PMCID: PMC10813573 DOI: 10.3390/cancers16020308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/21/2023] [Accepted: 01/06/2024] [Indexed: 01/24/2024] Open
Abstract
Glioma progression is a complex process controlled by molecular factors that coordinate the crosstalk between tumor cells and components of the tumor microenvironment (TME). Among these, immune cells play a critical role in cancer survival and progression. The complex interplay between cancer cells and the immune TME influences the outcome of immunotherapy and other anti-cancer therapies. Here, we present an updated view of the pro- and anti-tumor activities of the main myeloid and lymphocyte cell populations in the glioma TME. We review the underlying mechanisms involved in crosstalk between cancer cells and immune cells that enable gliomas to evade the immune system and co-opt these cells for tumor growth. Lastly, we discuss the current and experimental therapeutic options being developed to revert the immunosuppressive activity of the glioma TME. Knowledge of the complex interplay that elapses between tumor and immune cells may help develop new combination treatments able to overcome tumor immune evasion mechanisms and enhance response to immunotherapies.
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Affiliation(s)
| | | | | | | | - Winson S. Ho
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
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7
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Karschnia P, Dietrich J, Bruno F, Dono A, Juenger ST, Teske N, Young JS, Sciortino T, Häni L, van den Bent M, Weller M, Vogelbaum MA, Morshed RA, Haddad AF, Molinaro AM, Tandon N, Beck J, Schnell O, Bello L, Hervey-Jumper S, Thon N, Grau SJ, Esquenazi Y, Rudà R, Chang SM, Berger MS, Cahill DP, Tonn JC. Surgical management and outcome of newly diagnosed glioblastoma without contrast enhancement (low-grade appearance): a report of the RANO resect group. Neuro Oncol 2024; 26:166-177. [PMID: 37665776 PMCID: PMC10768992 DOI: 10.1093/neuonc/noad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Resection of the contrast-enhancing (CE) tumor represents the standard of care in newly diagnosed glioblastoma. However, some tumors ultimately diagnosed as glioblastoma lack contrast enhancement and have a 'low-grade appearance' on imaging (non-CE glioblastoma). We aimed to (a) volumetrically define the value of non-CE tumor resection in the absence of contrast enhancement, and to (b) delineate outcome differences between glioblastoma patients with and without contrast enhancement. METHODS The RANO resect group retrospectively compiled a global, eight-center cohort of patients with newly diagnosed glioblastoma per WHO 2021 classification. The associations between postoperative tumor volumes and outcome were analyzed. Propensity score-matched analyses were constructed to compare glioblastomas with and without contrast enhancement. RESULTS Among 1323 newly diagnosed IDH-wildtype glioblastomas, we identified 98 patients (7.4%) without contrast enhancement. In such patients, smaller postoperative tumor volumes were associated with more favorable outcome. There was an exponential increase in risk for death with larger residual non-CE tumor. Accordingly, extensive resection was associated with improved survival compared to lesion biopsy. These findings were retained on a multivariable analysis adjusting for demographic and clinical markers. Compared to CE glioblastoma, patients with non-CE glioblastoma had a more favorable clinical profile and superior outcome as confirmed in propensity score analyses by matching the patients with non-CE glioblastoma to patients with CE glioblastoma using a large set of clinical variables. CONCLUSIONS The absence of contrast enhancement characterizes a less aggressive clinical phenotype of IDH-wildtype glioblastomas. Maximal resection of non-CE tumors has prognostic implications and translates into favorable outcome.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jorg Dietrich
- Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | | | - Nico Teske
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jacob S Young
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Tommaso Sciortino
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Levin Häni
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | - Ramin A Morshed
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | - Juergen Beck
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Lorenzo Bello
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Shawn Hervey-Jumper
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Niklas Thon
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Susan M Chang
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
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8
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Young JS, Al-Adli NN, Muster R, Chandra A, Morshed RA, Pereira MP, Chalif EJ, Hervey-Jumper SL, Theodosopoulos PV, McDermott MW, Berger MS, Aghi MK. Does waiting for surgery matter? How time from diagnostic MRI to resection affects outcomes in newly diagnosed glioblastoma. J Neurosurg 2024; 140:80-93. [PMID: 37382331 DOI: 10.3171/2023.5.jns23388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/02/2023] [Indexed: 06/30/2023]
Abstract
OBJECTIVE Maximal safe resection is the standard of care for patients presenting with lesions concerning for glioblastoma (GBM) on magnetic resonance imaging (MRI). Currently, there is no consensus on surgical urgency for patients with an excellent performance status, which complicates patient counseling and may increase patient anxiety. This study aims to assess the impact of time to surgery (TTS) on clinical and survival outcomes in patients with GBM. METHODS This is a retrospective study of 145 consecutive patients with newly diagnosed IDH-wild-type GBM who underwent initial resection at the University of California, San Francisco, between 2014 and 2016. Patients were grouped according to the time from diagnostic MRI to surgery (i.e., TTS): ≤ 7, > 7-21, and > 21 days. Contrast-enhancing tumor volumes (CETVs) were measured using software. Initial CETV (CETV1) and preoperative CETV (CETV2) were used to evaluate tumor growth represented as percent change (ΔCETV) and specific growth rate (SPGR; % growth/day). Overall survival (OS) and progression-free survival (PFS) were measured from the date of resection and were analyzed using the Kaplan-Meier method and Cox regression analyses. RESULTS Of the 145 patients (median TTS 10 days), 56 (39%), 53 (37%), and 36 (25%) underwent surgery ≤ 7, > 7-21, and > 21 days from initial imaging, respectively. Median OS and PFS among the study cohort were 15.5 and 10.3 months, respectively, and did not differ among the TTS groups (p = 0.81 and 0.17, respectively). Median CETV1 was 35.9, 15.7, and 10.2 cm3 across the TTS groups, respectively (p < 0.001). Preoperative biopsy and presenting to an outside hospital emergency department were associated with an average 12.79-day increase and 9.09-day decrease in TTS, respectively. Distance from the treating facility (median 57.19 miles) did not affect TTS. In the growth cohort, TTS was associated with an average 2.21% increase in ΔCETV per day; however, there was no effect of TTS on SPGR, Karnofsky Performance Status (KPS), postoperative deficits, survival, discharge location, or hospital length of stay. Subgroup analyses did not identify any high-risk groups for which a shorter TTS may be beneficial. CONCLUSIONS An increased TTS for patients with imaging concerning for GBM did not impact clinical outcomes, and while there was a significant association with ΔCETV, SPGR remained unaffected. However, SPGR was associated with a worse preoperative KPS, which highlights the importance of tumor growth speed over TTS. Therefore, while it is ill advised to wait an unnecessarily long time after initial imaging studies, these patients do not require urgent/emergency surgery and can seek tertiary care opinions and/or arrange for additional preoperative support/resources. Future studies are needed to explore subgroups for whom TTS may impact clinical outcomes.
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Affiliation(s)
- Jacob S Young
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Nadeem N Al-Adli
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2School of Medicine, Texas Christian University, Fort Worth, Texas; and
| | - Rachel Muster
- 3School of Medicine, University of California, San Francisco, California
| | - Ankush Chandra
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Ramin A Morshed
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Matheus P Pereira
- 3School of Medicine, University of California, San Francisco, California
| | - Eric J Chalif
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Shawn L Hervey-Jumper
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | | | - Michael W McDermott
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Mitchel S Berger
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Manish K Aghi
- 1Department of Neurological Surgery, University of California, San Francisco, California
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9
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Chalif EJ, Young JS, Villa GR, Aghi MK, Lenzi J, Berger MS. High-volume facilities are not always low risk: comparing risk-standardized mortality rates versus facility volume as quality measures in surgical neuro-oncology. J Neurosurg 2024; 140:10-17. [PMID: 37410629 DOI: 10.3171/2023.5.jns222913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 05/09/2023] [Indexed: 07/08/2023]
Abstract
OBJECTIVE Risk-standardized mortality rates (RSMRs) have recently been shown to outperform facility case volume as a proxy for surgical quality in lung and gastrointestinal cancer. The aim of this study was to investigate RSMR as a surgical quality metric in primary CNS cancer. METHODS This retrospective observational cohort study used data from the National Cancer Database, a population-based oncology outcomes database sourced from more than 1500 institutions in the United States, and included adult patients 18 years of age and older who were diagnosed with glioblastoma, pituitary adenoma, or meningioma and were treated with surgery. For each group, RSMR quintiles and annual volume were calculated in a training set (2009-2013) and these thresholds were applied to the validation set (2014-2018). In this paper, the authors compared the effectiveness and efficiency of facility volume-based versus RSMR-based hospital centralization models and evaluated the overlap between the two systems. A patterns-of-care analysis was also performed to explore socioeconomic predictors of being treated at better-performing treating facilities. RESULTS A total of 37,838 meningioma, 21,189 pituitary adenoma, and 30,788 glioblastoma patients were surgically treated from 2014 to 2018. There were substantial differences between RSMR and facility volume classification schemes among all tumor types. In an RSMR-based centralization model, an average of 36 patients undergoing glioblastoma surgery would need to relocate to a low-mortality hospital to prevent one 30-day mortality following surgery, whereas 46 would need to relocate to a high-volume hospital. For pituitary adenoma and meningioma, both metrics were inefficient in centralizing care to reduce surgical mortality. Additionally, overall survival for glioblastoma patients was better modeled in an RSMR classification scheme. Analyses to investigate the impact of care disparities found that Black and Hispanic patients, patients earning less than $38,000, and uninsured patients were more likely to be treated at high-mortality hospitals. CONCLUSIONS RSMR is more effective and efficient than a traditional volume-based approach for preventing early postoperative death in glioblastoma surgery. These data have important implications for future quality-related studies in neurosurgical oncology and may be relevant for healthcare/insurance payments, hospital evaluation assessments, healthcare disparities, and the standardization of care across hospitals.
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Affiliation(s)
- Eric J Chalif
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts; and
| | - Jacob S Young
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Genaro R Villa
- 2Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts; and
| | - Manish K Aghi
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Jacopo Lenzi
- 3Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - Mitchel S Berger
- 1Department of Neurological Surgery, University of California, San Francisco, California
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10
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Hadad S, Gupta R, Oberheim Bush NA, Taylor JW, Villanueva-Meyer JE, Young JS, Wu J, Ravindranathan A, Zhang Y, Warrier G, McCoy L, Shai A, Pekmezci M, Perry A, Bollen AW, Phillips JJ, Braunstein SE, Raleigh DR, Theodosopoulos P, Aghi MK, Chang EF, Hervey-Jumper SL, Costello JF, de Groot J, Butowski NA, Clarke JL, Chang SM, Berger MS, Molinaro AM, Solomon DA. "De novo replication repair deficient glioblastoma, IDH-wildtype" is a distinct glioblastoma subtype in adults that may benefit from immune checkpoint blockade. Acta Neuropathol 2023; 147:3. [PMID: 38079020 PMCID: PMC10713691 DOI: 10.1007/s00401-023-02654-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/24/2023] [Accepted: 10/24/2023] [Indexed: 12/18/2023]
Abstract
Glioblastoma is a clinically and molecularly heterogeneous disease, and new predictive biomarkers are needed to identify those patients most likely to respond to specific treatments. Through prospective genomic profiling of 459 consecutive primary treatment-naïve IDH-wildtype glioblastomas in adults, we identified a unique subgroup (2%, 9/459) defined by somatic hypermutation and DNA replication repair deficiency due to biallelic inactivation of a canonical mismatch repair gene. The deleterious mutations in mismatch repair genes were often present in the germline in the heterozygous state with somatic inactivation of the remaining allele, consistent with glioblastomas arising due to underlying Lynch syndrome. A subset of tumors had accompanying proofreading domain mutations in the DNA polymerase POLE and resultant "ultrahypermutation". The median age at diagnosis was 50 years (range 27-78), compared with 63 years for the other 450 patients with conventional glioblastoma (p < 0.01). All tumors had histologic features of the giant cell variant of glioblastoma. They lacked EGFR amplification, lacked combined trisomy of chromosome 7 plus monosomy of chromosome 10, and only rarely had TERT promoter mutation or CDKN2A homozygous deletion, which are hallmarks of conventional IDH-wildtype glioblastoma. Instead, they harbored frequent inactivating mutations in TP53, NF1, PTEN, ATRX, and SETD2 and recurrent activating mutations in PDGFRA. DNA methylation profiling revealed they did not align with known reference adult glioblastoma methylation classes, but instead had unique globally hypomethylated epigenomes and mostly classified as "Diffuse pediatric-type high grade glioma, RTK1 subtype, subclass A". Five patients were treated with immune checkpoint blockade, four of whom survived greater than 3 years. The median overall survival was 36.8 months, compared to 15.5 months for the other 450 patients (p < 0.001). We conclude that "De novo replication repair deficient glioblastoma, IDH-wildtype" represents a biologically distinct subtype in the adult population that may benefit from prospective identification and treatment with immune checkpoint blockade.
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Affiliation(s)
- Sara Hadad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Rohit Gupta
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jennie W Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jasper Wu
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Ajay Ravindranathan
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Yalan Zhang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Gayathri Warrier
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Lucie McCoy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Anny Shai
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Melike Pekmezci
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Arie Perry
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Andrew W Bollen
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Steve E Braunstein
- Department of Radiation Oncology, University of California, San Francisco, CA, USA
| | - David R Raleigh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiation Oncology, University of California, San Francisco, CA, USA
| | - Philip Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - John de Groot
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Nicholas A Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jennifer L Clarke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
| | - David A Solomon
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
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11
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Young JS, Morshed RA, Hervey-Jumper SL, Berger MS. The surgical management of diffuse gliomas: Current state of neurosurgical management and future directions. Neuro Oncol 2023; 25:2117-2133. [PMID: 37499054 PMCID: PMC10708937 DOI: 10.1093/neuonc/noad133] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Indexed: 07/29/2023] Open
Abstract
After recent updates to the World Health Organization pathological criteria for diagnosing and grading diffuse gliomas, all major North American and European neuro-oncology societies recommend a maximal safe resection as the initial management of a diffuse glioma. For neurosurgeons to achieve this goal, the surgical plan for both low- and high-grade gliomas should be to perform a supramaximal resection when feasible based on preoperative imaging and the patient's performance status, utilizing every intraoperative adjunct to minimize postoperative neurological deficits. While the surgical approach and technique can vary, every effort must be taken to identify and preserve functional cortical and subcortical regions. In this summary statement on the current state of the field, we describe the tools and technologies that facilitate the safe removal of diffuse gliomas and highlight intraoperative and postoperative management strategies to minimize complications for these patients. Moreover, we discuss how surgical resections can go beyond cytoreduction by facilitating biological discoveries and improving the local delivery of adjuvant chemo- and radiotherapies.
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Affiliation(s)
- Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, USA
| | - Ramin A Morshed
- Department of Neurological Surgery, University of California, San Francisco, USA
| | | | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, USA
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12
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Chen WC, Choudhury A, Youngblood MW, Polley MYC, Lucas CHG, Mirchia K, Maas SLN, Suwala AK, Won M, Bayley JC, Harmanci AS, Harmanci AO, Klisch TJ, Nguyen MP, Vasudevan HN, McCortney K, Yu TJ, Bhave V, Lam TC, Pu JKS, Li LF, Leung GKK, Chan JW, Perlow HK, Palmer JD, Haberler C, Berghoff AS, Preusser M, Nicolaides TP, Mawrin C, Agnihotri S, Resnick A, Rood BR, Chew J, Young JS, Boreta L, Braunstein SE, Schulte J, Butowski N, Santagata S, Spetzler D, Bush NAO, Villanueva-Meyer JE, Chandler JP, Solomon DA, Rogers CL, Pugh SL, Mehta MP, Sneed PK, Berger MS, Horbinski CM, McDermott MW, Perry A, Bi WL, Patel AJ, Sahm F, Magill ST, Raleigh DR. Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses. Nat Med 2023; 29:3067-3076. [PMID: 37944590 DOI: 10.1038/s41591-023-02586-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/11/2023] [Indexed: 11/12/2023]
Abstract
Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and indications for postoperative radiotherapy are controversial. Here we develop a targeted gene expression biomarker that predicts meningioma outcomes and radiotherapy responses. Using a discovery cohort of 173 meningiomas, we developed a 34-gene expression risk score and performed clinical and analytical validation of this biomarker on independent meningiomas from 12 institutions across 3 continents (N = 1,856), including 103 meningiomas from a prospective clinical trial. The gene expression biomarker improved discrimination of outcomes compared with all other systems tested (N = 9) in the clinical validation cohort for local recurrence (5-year area under the curve (AUC) 0.81) and overall survival (5-year AUC 0.80). The increase in AUC compared with the standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval 0.07 to 0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% confidence interval 0.37 to 0.78, P = 0.0001) and suggested postoperative management could be refined for 29.8% of patients. In sum, our results identify a targeted gene expression biomarker that improves discrimination of meningioma outcomes, including prediction of postoperative radiotherapy responses.
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Affiliation(s)
- William C Chen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
| | - Abrar Choudhury
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Mei-Yin C Polley
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | | | - Kanish Mirchia
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Sybren L N Maas
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Abigail K Suwala
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - Minhee Won
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - James C Bayley
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Akdes S Harmanci
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Arif O Harmanci
- Center for Secure Artificial Intelligence for Healthcare, Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, USA
| | - Tiemo J Klisch
- Department of Molecular and Human Genetics, Baylor College of Medicine, and Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Minh P Nguyen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Kathleen McCortney
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Theresa J Yu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Varun Bhave
- Department of Neurosurgery, Brigham and Women's Hospital, and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tai-Chung Lam
- Department of Clinical Oncology, The University of Hong Kong, Pokfulam, China
| | - Jenny Kan-Suen Pu
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Lai-Fung Li
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Gilberto Ka-Kit Leung
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Jason W Chan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Haley K Perlow
- Department of Radiation Oncology, Ohio State University, Columbus, OH, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University, Columbus, OH, USA
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | | | - Christian Mawrin
- Department of Neuropathology, University of Magdeburg, Magdeburg, Germany
| | - Sameer Agnihotri
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adam Resnick
- Department of Neurological Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Brian R Rood
- Brain Tumor Institute, Children's National Hospital, Washington, DC, USA
| | - Jessica Chew
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Jacob S Young
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Lauren Boreta
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Steve E Braunstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Jessica Schulte
- Neurosciences Department, University of California San Diego, La Jolla, CA, USA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - James P Chandler
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - David A Solomon
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - C Leland Rogers
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - Stephanie L Pugh
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - Minesh P Mehta
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
- Miami Neuroscience Institute, Baptist Health, Miami, FL, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Craig M Horbinski
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
- Department of Pathology, Northwestern University, Chicago, IL, USA
| | | | - Arie Perry
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Akash J Patel
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA.
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
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13
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Al-Adli NN, Young JS, Scotford K, Sibih YE, Payne J, Berger MS. Advances in Intraoperative Glioma Tissue Sampling and Infiltration Assessment. Brain Sci 2023; 13:1637. [PMID: 38137085 PMCID: PMC10741454 DOI: 10.3390/brainsci13121637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/06/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Gliomas are infiltrative brain tumors that often involve functional tissue. While maximal safe resection is critical for maximizing survival, this is challenged by the difficult intraoperative discrimination between tumor-infiltrated and normal structures. Surgical expertise is essential for identifying safe margins, and while the intraoperative pathological review of frozen tissue is possible, this is a time-consuming task. Advances in intraoperative stimulation mapping have aided surgeons in identifying functional structures and, as such, has become the gold standard for this purpose. However, intraoperative margin assessment lacks a similar consensus. Nonetheless, recent advances in intraoperative imaging techniques and tissue examination methods have demonstrated promise for the accurate and efficient assessment of tumor infiltration and margin delineation within the operating room, respectively. In this review, we describe these innovative technologies that neurosurgeons should be aware of.
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Affiliation(s)
- Nadeem N. Al-Adli
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94131, USA; (N.N.A.-A.); (J.S.Y.); (K.S.); (J.P.)
- School of Medicine, Texas Christian University, Fort Worth, TX 76109, USA
| | - Jacob S. Young
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94131, USA; (N.N.A.-A.); (J.S.Y.); (K.S.); (J.P.)
| | - Katie Scotford
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94131, USA; (N.N.A.-A.); (J.S.Y.); (K.S.); (J.P.)
| | - Youssef E. Sibih
- School of Medicine, University of California San Francisco, San Francisco, CA 94131, USA;
| | - Jessica Payne
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94131, USA; (N.N.A.-A.); (J.S.Y.); (K.S.); (J.P.)
| | - Mitchel S. Berger
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA 94131, USA; (N.N.A.-A.); (J.S.Y.); (K.S.); (J.P.)
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14
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Corbett J, Young JS, Tipton MJ, Costello JT, Williams TB, Walker EF, Lee BJ, Stevens CE. Molecular biomarkers for assessing the heat-adapted phenotype: a narrative scoping review. J Physiol Sci 2023; 73:26. [PMID: 37848829 DOI: 10.1186/s12576-023-00882-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Abstract
Heat acclimation/acclimatisation (HA) mitigates heat-related decrements in physical capacity and heat-illness risk and is a widely advocated countermeasure for individuals operating in hot environments. The efficacy of HA is typically quantified by assessing the thermo-physiological responses to a standard heat acclimation state test (i.e. physiological biomarkers), but this can be logistically challenging, time consuming, and expensive. A valid molecular biomarker of HA would enable evaluation of the heat-adapted state through the sampling and assessment of a biological medium. This narrative review examines candidate molecular biomarkers of HA, highlighting the poor sensitivity and specificity of these candidates and identifying the current lack of a single 'standout' biomarker. It concludes by considering the potential of multivariable approaches that provide information about a range of physiological systems, identifying a number of challenges that must be overcome to develop a valid molecular biomarker of the heat-adapted state, and highlighting future research opportunities.
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Affiliation(s)
- J Corbett
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK.
| | - J S Young
- National Horizons Centre, Teesside University, Darlington, UK
| | - M J Tipton
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - J T Costello
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - T B Williams
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - E F Walker
- Defence Science and Technology Laboratory, Porton Down, Salisbury, UK
| | - B J Lee
- Occupational and Environmental Physiology Group, Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - C E Stevens
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
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15
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Liu SJ, Chen WC, Zhang Y, Young JS, Morshed RA, Nguyen MP, Villanueva-Meyer J, Phillips J, Oberheim NA, Aghi MK, Sneed PK, Braunstein SE, de Groot J, Berger MS, Molinaro AM, Hervey-Jumper S, Raleigh D. Adjuvant Chemoradiotherapy within One Year of Resection for Molecularly Defined Astrocytoma. Int J Radiat Oncol Biol Phys 2023; 117:e130-e131. [PMID: 37784692 DOI: 10.1016/j.ijrobp.2023.06.930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Treatments for diffuse low-grade gliomas (LGG) are controversial. Level I evidence supports the use of adjuvant radiotherapy (RT) and PCV chemotherapy for histologic LGG, but integration of molecular biomarkers in recent WHO classification and the emergence of temozolomide chemotherapy for gliomas necessitates additional investigation of the optimal treatment and timing of postoperative interventions. We hypothesized molecularly-defined LGG (IDH-mutant astrocytoma (astro) and IDH-mutant, 1p/19q-codeleted oligodendroglioma (oligo)) may have different clinical outcomes following adjuvant RT (aRT) with chemotherapy (aRT+chemo) vs observation or chemo alone. MATERIALS/METHODS A retrospective analysis of consecutive adult patients diagnosed with WHO Grade 2 astrocytoma or oligodendroglioma who underwent initial resection at a single institution from January 1998 to November 2017 was performed. Wilcoxon rank sum and Chi-squared tests were used to compare continuous and categorical variables, respectively. Survival analyses were performed using the Kaplan-Meier method and Cox proportional hazards models. Patients without clinical progression or death were censored at the date of last follow-up. Pre-operative and post-operative T2 FLAIR hyperintense tumor volumes were quantified using 3D Slicer to calculate extent of resection (EOR). RESULTS A total of 342 patients with molecularly-defined LGG (178 astro, 164 oligo) were identified with a median follow up of 9.1 yr. 171 (50%) patients received RT during their treatment course, of which 31 (18%) were treated with aRT within 1 year of diagnosis. The median aRT dose was 54 Gy (range: 40-60 Gy). aRT was more likely for astro (58%) vs oligo (41%, p = 0.001) and for patients who had resections with lower median EOR (88% vs 95%, p = 0.014). 53 patients (15%) were treated with chemo alone, and 136 patients (40%) were treated with aRT+chemo. Temozolomide was used for 161 patients (85%). For astro, aRT+chemo was associated with longer PFS (median 14.9 yr) compared to observation (4.8 yr, p = 0.05), aRT without chemo (5.2 yr, p = 0.01), or chemo alone (4.7 yr, p = 0.02). For oligo, aRT+chemo was associated with longer PFS (median not reached) compared to aRT without chemo (1.6 yr, p = 0.03), but not when compared to observation (median not reached, p = 0.47), or chemo alone (7.9 yr, p = 0.45). Multivariate analysis showed preoperative tumor volume, EOR, and aRT+chemo (but not aRT or chemo alone) were independently associated with astro PFS compared to observation. Propensity matching based on pre-operative tumor volume, EOR, and age demonstrated longer astro PFS after aRT+chemo (14.9 yr) compared to observation or chemo alone (4.5 yr, p = 0.015), without significant difference in OS (18.2 vs. 11.5 yr, p = 0.40). CONCLUSION Retrospective data from a single institution support the use of adjuvant radiotherapy with chemotherapy for patients with molecular astrocytomas, while the role of this approach for oligodendrogliomas is unclear in this cohort.
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Affiliation(s)
- S J Liu
- University of California San Francisco, Department of Radiation Oncology, San Francisco, CA
| | - W C Chen
- University of California San Francisco, San Francisco, CA
| | - Y Zhang
- University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, CA
| | - J S Young
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - R A Morshed
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - M P Nguyen
- University of California, San Francisco, Department of Radiation Oncology, San Francisco, CA
| | | | - J Phillips
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - N A Oberheim
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - M K Aghi
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - P K Sneed
- University of California San Francisco, Department of Radiation Oncology, San Francisco, CA
| | - S E Braunstein
- University of California San Francisco, Department of Radiation Oncology, San Francisco, CA
| | - J de Groot
- University of California, San Francisco, San Francisco, CA
| | - M S Berger
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - A M Molinaro
- University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, CA
| | - S Hervey-Jumper
- University of California San Francisco, Department of Neurological Surgery, San Francisco, CA
| | - D Raleigh
- University of California San Francisco, Department of Radiation Oncology, San Francisco, CA
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16
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Karschnia P, Dono A, Young JS, Juenger ST, Teske N, Häni L, Sciortino T, Mau CY, Bruno F, Nunez L, Morshed RA, Haddad AF, Weller M, van den Bent M, Beck J, Hervey-Jumper S, Molinaro AM, Tandon N, Rudà R, Vogelbaum MA, Bello L, Schnell O, Grau SJ, Chang SM, Berger MS, Esquenazi Y, Tonn JC. Prognostic evaluation of re-resection for recurrent glioblastoma using the novel RANO classification for extent of resection: A report of the RANO resect group. Neuro Oncol 2023; 25:1672-1685. [PMID: 37253096 PMCID: PMC10479742 DOI: 10.1093/neuonc/noad074] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND The value of re-resection in recurrent glioblastoma remains controversial as a randomized trial that specifies intentional incomplete resection cannot be justified ethically. Here, we aimed to (1) explore the prognostic role of extent of re-resection using the previously proposed Response Assessment in Neuro-Oncology (RANO) classification (based upon residual contrast-enhancing (CE) and non-CE tumor), and to (2) define factors consolidating the surgical effects on outcome. METHODS The RANO resect group retrospectively compiled an 8-center cohort of patients with first recurrence from previously resected glioblastomas. The associations of re-resection and other clinical factors with outcome were analyzed. Propensity score-matched analyses were constructed to minimize confounding effects when comparing the different RANO classes. RESULTS We studied 681 patients with first recurrence of Isocitrate Dehydrogenase (IDH) wild-type glioblastomas, including 310 patients who underwent re-resection. Re-resection was associated with prolonged survival even when stratifying for molecular and clinical confounders on multivariate analysis; ≤1 cm3 residual CE tumor was associated with longer survival than non-surgical management. Accordingly, "maximal resection" (class 2) had superior survival compared to "submaximal resection" (class 3). Administration of (radio-)chemotherapy in the absence of postoperative deficits augmented the survival associations of smaller residual CE tumors. Conversely, "supramaximal resection" of non-CE tumor (class 1) was not associated with prolonged survival but was frequently accompanied by postoperative deficits. The prognostic role of residual CE tumor was confirmed in propensity score analyses. CONCLUSIONS The RANO resect classification serves to stratify patients with re-resection of glioblastoma. Complete resection according to RANO resect classes 1 and 2 is prognostic.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Jacob S Young
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Christine Y Mau
- Department of Neuro-Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Luis Nunez
- Department of Diagnostic and Interventional Imaging, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Ramin A Morshed
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Alexander F Haddad
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Shawn Hervey-Jumper
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | | | - Lorenzo Bello
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
- Klinikum Fulda, Academic Hospital of Marburg University, Klinikum, Fulda, Germany
| | - Susan M Chang
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
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17
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Young JS, Al-Adli N, Scotford K, Cha S, Berger MS. Pseudoprogression versus true progression in glioblastoma: what neurosurgeons need to know. J Neurosurg 2023; 139:748-759. [PMID: 36790010 PMCID: PMC10412732 DOI: 10.3171/2022.12.jns222173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/12/2022] [Indexed: 02/16/2023]
Abstract
Management of patients with glioblastoma (GBM) is complex and involves implementing standard therapies including resection, radiation therapy, and chemotherapy, as well as novel immunotherapies and targeted small-molecule inhibitors through clinical trials and precision medicine approaches. As treatments have advanced, the radiological and clinical assessment of patients with GBM has become even more challenging and nuanced. Advances in spatial resolution and both anatomical and physiological information that can be derived from MRI have greatly improved the noninvasive assessment of GBM before, during, and after therapy. Identification of pseudoprogression (PsP), defined as changes concerning for tumor progression that are, in fact, transient and related to treatment response, is critical for successful patient management. These temporary changes can produce new clinical symptoms due to mass effect and edema. Differentiating this entity from true tumor progression is a major decision point in the patient's management and prognosis. Providers may choose to start an alternative therapy, transition to a clinical trial, consider repeat resection, or continue with the current therapy in hopes of resolution. In this review, the authors describe the invasive and noninvasive techniques neurosurgeons need to be aware of to identify PsP and facilitate surgical decision-making.
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Affiliation(s)
- Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Nadeem Al-Adli
- Department of Neurological Surgery, University of California, San Francisco, California
- School of Medicine, Texas Christian University, Fort Worth, Texas
| | - Katie Scotford
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Soonmee Cha
- Department of Neurological Surgery, University of California, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, California
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18
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Elia A, Young JS, Simboli GA, Roux A, Moiraghi A, Trancart B, Al-Adli N, Aboubakr O, Bedioui A, Leclerc A, Planet M, Parraga E, Benevello C, Oppenheim C, Chretien F, Dezamis E, Berger MS, Zanello M, Pallud J. A Preoperative Scoring System to Predict Function-Based Resection Limitation Due to Insufficient Participation During Awake Surgery. Neurosurgery 2023; 93:678-690. [PMID: 37018385 DOI: 10.1227/neu.0000000000002477] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/06/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Failure in achieving a function-based resection related to the insufficient patient's participation is a drawback of awake surgery. OBJECTIVE To assess preoperative parameters predicting the risk of patient insufficient intraoperative cooperation leading to the arrest of the awake resection. METHODS Observational, retrospective, multicentric cohort analysis enrolling 384 (experimental dataset) and 100 (external validation dataset) awake surgeries. RESULTS In the experimental data set, an insufficient intraoperative cooperation occurred in 20/384 patients (5.2%), leading to awake surgery failure in 3/384 patients (ie, no resection, 0.8%), and precluded the achievement of the function-based resection in 17/384 patients (ie, resection limitation, 4.4%). The insufficient intraoperative cooperation significantly reduced the resection rates (55.0% vs 94.0%, P < .001) and precluded a supratotal resection (0% vs 11.3%, P = .017). Seventy years or older, uncontrolled epileptic seizures, previous oncological treatment, hyperperfusion on MRI, and mass effect on midline were independent predictors of insufficient cooperation during awake surgery ( P < .05). An Awake Surgery Insufficient Cooperation score was then assessed: 96.9% of patients (n = 343/354) with a score ≤2 presented a good intraoperative cooperation, while only 70.0% of patients (n = 21/30) with a score >2 presented a good intraoperative cooperation. In the experimental data set, similar date were found: 98.9% of patients (n = 98/99) with a score ≤2 presented a good cooperation, while 0% of patients (n = 0/1) with a score >2 presented a good cooperation. CONCLUSION Function-based resection under awake conditions can be safely performed with a low rate of insufficient patient intraoperative cooperation. The risk can be assessed preoperatively by a careful patient selection.
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Affiliation(s)
- Angela Elia
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Neurosurgery Unit, Department of Surgical Sciences, Fondazione IRCCS Policlinico San Matteo, Pavia , Italy
- Université Paris Cité, Paris , France
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, California , USA
| | - Giorgia Antonia Simboli
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Alexandre Roux
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
| | - Alessandro Moiraghi
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
| | - Bénédicte Trancart
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Nadeem Al-Adli
- Department of Neurological Surgery, University of California, San Francisco, California , USA
| | - Oumaima Aboubakr
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Aziz Bedioui
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Department of Neurosurgery, Centre Hospitalier Universitaire Caen, Caen , France
| | - Arthur Leclerc
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Department of Neurosurgery, Centre Hospitalier Universitaire Caen, Caen , France
| | - Martin Planet
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Eduardo Parraga
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Chiara Benevello
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Catherine Oppenheim
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
- Department of Neuroradiology, Sainte-Anne Hospital, Paris , France
| | - Fabrice Chretien
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
- Department of Neuropathology, Sainte-Anne Hospital, Paris , France
| | - Edouard Dezamis
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, California , USA
| | - Marc Zanello
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
| | - Johan Pallud
- Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris , France
- Université Paris Cité, Paris , France
- Inserm, U1266, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris , France
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19
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Nejo T, Krishna S, Jimenez C, Yamamichi A, Young JS, Lakshmanachetty S, Chen T, Phyu SSS, Ogino H, Watchmaker P, Diebold D, Choudhury A, Daniel AGS, Raleigh DR, Hervey-Jumper SL, Okada H. Glioma-neuronal circuit remodeling induces regional immunosuppression. bioRxiv 2023:2023.08.04.548295. [PMID: 37577659 PMCID: PMC10418167 DOI: 10.1101/2023.08.04.548295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Neuronal activity-driven mechanisms impact glioblastoma cell proliferation and invasion 1-7 , and glioblastoma remodels neuronal circuits 8,9 . Distinct intratumoral regions maintain functional connectivity via a subpopulation of malignant cells that mediate tumor-intrinsic neuronal connectivity and synaptogenesis through their transcriptional programs 8 . However, the effects of tumor-intrinsic neuronal activity on other cells, such as immune cells, remain unknown. Here we show that regions within glioblastomas with elevated connectivity are characterized by regional immunosuppression. This was accompanied by different cell compositions and inflammatory status of tumor-associated macrophages (TAMs) in the tumor microenvironment. In preclinical intracerebral syngeneic glioblastoma models, CRISPR/Cas9 gene knockout of Thrombospondin-1 (TSP-1/ Thbs1 ), a synaptogenic factor critical for glioma-induced neuronal circuit remodeling, in glioblastoma cells suppressed synaptogenesis and glutamatergic neuronal hyperexcitability, while simultaneously restoring antigen-presentation and pro-inflammatory responses. Moreover, TSP-1 knockout prolonged survival of immunocompetent mice harboring intracerebral syngeneic glioblastoma, but not of immunocompromised mice, and promoted infiltrations of pro-inflammatory TAMs and CD8+ T-cells in the tumor microenvironment. Notably, pharmacological inhibition of glutamatergic excitatory signals redirected tumor-associated macrophages toward a less immunosuppressive phenotype, resulting in prolonged survival. Altogether, our results demonstrate previously unrecognized immunosuppression mechanisms resulting from glioma-neuronal circuit remodeling and suggest future strategies targeting glioma-neuron-immune crosstalk may open up new avenues for immunotherapy.
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Vasudevan HN, Delley C, Chen WC, Mirchia K, Pan S, Shukla P, Aabedi AA, Nguyen MP, Morshed RA, Young JS, Boreta L, Fogh SE, Nakamura JL, Theodosopoulos PV, Phillips J, Hervey-Jumper SL, Daras M, Pike L, Aghi MK, Tsai K, Raleigh DR, Braunstein SE, Abate AR. Molecular Features of Resected Melanoma Brain Metastases, Clinical Outcomes, and Responses to Immunotherapy. JAMA Netw Open 2023; 6:e2329186. [PMID: 37589977 PMCID: PMC10436135 DOI: 10.1001/jamanetworkopen.2023.29186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 07/08/2023] [Indexed: 08/18/2023] Open
Abstract
Importance Central nervous system (CNS)-penetrant systemic therapies have significantly advanced care for patients with melanoma brain metastases. However, improved understanding of the molecular landscape and microenvironment of these lesions is needed to both optimize patient selection and advance treatment approaches. Objective To evaluate how bulk and single-cell genomic features of melanoma brain metastases are associated with clinical outcome and treatment response. Design, Setting, and Participants This cohort study analyzed bulk DNA sequencing and single nuclear RNA-sequencing data from resected melanoma brain metastases and included 94 consecutive patients with a histopathologically confirmed diagnosis of melanoma brain metastasis who underwent surgical resection at a single National Comprehensive Cancer Network cancer center in San Francisco, California, from January 1, 2009, to December 31, 2022. Exposure A Clinical Laboratory Improvement Amendments-certified targeted sequencing assay was used to analyze tumor resection specimens, with a focus on BRAF V600E alteration. For frozen pathologic specimens from CNS treatment-naive patients undergoing surgical resection, commercial single nuclear RNA sequencing approaches were used. Main Outcomes and Measures The primary outcome was overall survival (OS). Secondary outcomes included CNS progression-free survival (PFS), microenvironmental composition with decreased T-cell and macrophage populations, and responses to immunotherapy. Results To correlate molecular status with clinical outcome, Kaplan-Meier survival analysis of 94 consecutive patients (median age, 64 years [range, 24-82 years]; 70 men [74%]) with targeted BRAF alteration testing showed worse median intracranial PFS (BRAF variant: 3.6 months [IQR, 0.1-30.6 months]; BRAF wildtype: 11.0 months [IQR, 0.8-81.5 months]; P < .001) and OS (BRAF variant: 9.8 months [IQR, 2.5-69.4 months]; BRAF wildtype: 23.2 months [IQR, 1.1-102.5 months]; P = .005; log-rank test) in BRAF V600E variant tumors. Multivariable Cox proportional hazards regression analysis revealed that BRAF V600E status was an independent variable significantly associated with both PFS (hazard ratio [HR], 2.65; 95% CI, 1.54-4.57; P < .001) and OS (HR, 1.96; 95% CI, 1.08-3.55; P = .03). For the 45 patients with resected melanoma brain metastases undergoing targeted DNA sequencing, molecular classification recapitulated The Cancer Genome Atlas groups (NRAS variant, BRAF variant, NF1 variant, and triple wildtype) with no subtype enrichment within the brain metastasis cohort. On a molecular level, BRAF V600E variant lesions were found to have a significantly decreased tumor mutation burden. Moreover, single nuclear RNA sequencing of treatment-naive BRAF V600E variant (n = 3) brain metastases compared with BRAF wildtype (n = 3) brain metastases revealed increased immune cell populations in BRAF wildtype tumors (mean [SD], 11% [4.1%] vs 3% [1.6%] CD45-positive cells; P = .04). Survival analysis of postoperative immunotherapy responses by BRAF status revealed that BRAF wildtype lesions were associated with a response to checkpoint inhibition (median OS: with immunotherapy, undefined; without immunotherapy, 13.0 months [range, 1.1-61.7 months]; P = .001; log-rank test) while BRAF variant lesions (median OS: with immunotherapy, 9.8 months [range, 2.9-39.8 months]; without immunotherapy, 9.5 months [range, 2.5-67.2 months]; P = .81; log-rank test) were not. Conclusions and Relevance This molecular analysis of patients with resected melanoma brain metastases found that BRAF V600E alteration is an important translational biomarker associated with worse clinical outcomes, differential microenvironmental composition, and benefit from immunotherapy. Patients with BRAF V600E variant melanoma brain metastases may thus benefit from alternative CNS-penetrant systemic regimens.
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Affiliation(s)
- Harish N. Vasudevan
- Department of Radiation Oncology, University of California, San Francisco
- Department of Neurological Surgery, University of California, San Francisco
| | - Cyrille Delley
- Department of Bioengineering, University of California, San Francisco
| | - William C. Chen
- Department of Radiation Oncology, University of California, San Francisco
| | - Kanish Mirchia
- Department of Pathology, University of California, San Francisco
| | - Sixuan Pan
- Department of Bioengineering, University of California, San Francisco
| | - Poojan Shukla
- Department of Neurological Surgery, University of California, San Francisco
| | - Alex A. Aabedi
- Department of Neurological Surgery, University of California, San Francisco
| | - Minh P. Nguyen
- Department of Radiation Oncology, University of California, San Francisco
| | - Ramin A. Morshed
- Department of Neurological Surgery, University of California, San Francisco
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco
| | - Lauren Boreta
- Department of Radiation Oncology, University of California, San Francisco
| | - Shannon E. Fogh
- Department of Radiation Oncology, University of California, San Francisco
| | - Jean L. Nakamura
- Department of Radiation Oncology, University of California, San Francisco
| | | | - Joanna Phillips
- Department of Pathology, University of California, San Francisco
| | | | - Mariza Daras
- Department of Neurological Surgery, University of California, San Francisco
| | - Luke Pike
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Manish K. Aghi
- Department of Neurological Surgery, University of California, San Francisco
| | - Katy Tsai
- Department of Hematology/Oncology, University of California, San Francisco
| | - David R. Raleigh
- Department of Radiation Oncology, University of California, San Francisco
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Adam R. Abate
- Department of Bioengineering, University of California, San Francisco
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Young JS, Al-Adli N, Sibih YE, Scotford KL, Casey M, James S, Berger MS. Recognizing the psychological impact of a glioma diagnosis on mental and behavioral health: a systematic review of what neurosurgeons need to know. J Neurosurg 2023; 139:11-19. [PMID: 36334288 PMCID: PMC10413205 DOI: 10.3171/2022.9.jns221139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022]
Abstract
A cancer diagnosis is life altering and frequently associated with both acute and long-lasting psychosocial and behavioral distress for patients. The impact of a diffuse glioma diagnosis on mental health is an important aspect of the patient experience with their disease. This needs to be understood by neurosurgeons so these concerns can be appropriately addressed in a timely fashion and integrated into the multidisciplinary care of neuro-oncology patients. The relatively grave prognosis associated with diffuse gliomas, the morbidity associated with treatment, and the constant threat of developing a new neurological deficit all can negatively affect a patient's mental ability to cope and ultimately manifest in mental health disorders such as anxiety and depression. The objective of this systematic review was to describe the variety of behavioral health disorders patients may experience following a glioma diagnosis and discuss possible treatment options. The PubMed, Web of Science, Embase, and PsycINFO databases were searched through July 1, 2022, using broad search terms, which resulted in 5028 studies that were uploaded to Covidence systematic review software. Duplicates, non-English-language studies, and studies with irrelevant outcomes or incorrect design were removed (n = 3167). A total of 92 articles reporting behavioral health outcomes in brain tumor patients were categorized and extracted for associations with overall mental health, anxiety, depression, distress, stress, pharmacology, interventions, and mental health in caregivers. The authors identified numerous studies reporting the prevalence of mental health disorders and their negative influence in this population. However, there is a paucity of literature on therapeutic options for patients. Given the strong correlation between patient quality of life and mental well-being, there is a considerable need for early recognition and treatment of these behavioral health disorders to optimize everyday functioning for patients.
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Affiliation(s)
- Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, CA
| | - Nadeem Al-Adli
- Department of Neurological Surgery, University of California, San Francisco, CA
- School of Medicine, Texas Christian University, Fort Worth, TX
| | - Youssef E. Sibih
- Department of Neurological Surgery, University of California, San Francisco, CA
| | - Katrina L. Scotford
- Department of Neurological Surgery, University of California, San Francisco, CA
| | - Megan Casey
- School of Medicine, University of California, San Francisco, CA
| | | | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, CA
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22
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Hervey-Jumper SL, Zhang Y, Phillips JJ, Morshed RA, Young JS, McCoy L, Lafontaine M, Luks T, Ammanuel S, Kakaizada S, Egladyous A, Gogos A, Villanueva-Meyer J, Shai A, Warrier G, Rice T, Crane J, Wrensch M, Wiencke JK, Daras M, Oberheim Bush NA, Taylor JW, Butowski N, Clarke J, Chang S, Chang E, Aghi M, Theodosopoulos P, McDermott M, Jakola AS, Kavouridis VK, Nawabi N, Solheim O, Smith T, Berger MS, Molinaro AM. Interactive Effects of Molecular, Therapeutic, and Patient Factors on Outcome of Diffuse Low-Grade Glioma. J Clin Oncol 2023; 41:2029-2042. [PMID: 36599113 PMCID: PMC10082290 DOI: 10.1200/jco.21.02929] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 08/18/2022] [Accepted: 11/14/2022] [Indexed: 01/06/2023] Open
Abstract
PURPOSE In patients with diffuse low-grade glioma (LGG), the extent of surgical tumor resection (EOR) has a controversial role, in part because a randomized clinical trial with different levels of EOR is not feasible. METHODS In a 20-year retrospective cohort of 392 patients with IDH-mutant grade 2 glioma, we analyzed the combined effects of volumetric EOR and molecular and clinical factors on overall survival (OS) and progression-free survival by recursive partitioning analysis. The OS results were validated in two external cohorts (n = 365). Propensity score analysis of the combined cohorts (n = 757) was used to mimic a randomized clinical trial with varying levels of EOR. RESULTS Recursive partitioning analysis identified three survival risk groups. Median OS was shortest in two subsets of patients with astrocytoma: those with postoperative tumor volume (TV) > 4.6 mL and those with preoperative TV > 43.1 mL and postoperative TV ≤ 4.6 mL. Intermediate OS was seen in patients with astrocytoma who had chemotherapy with preoperative TV ≤ 43.1 mL and postoperative TV ≤ 4.6 mL in addition to oligodendroglioma patients with either preoperative TV > 43.1 mL and residual TV ≤ 4.6 mL or postoperative residual volume > 4.6 mL. Longest OS was seen in astrocytoma patients with preoperative TV ≤ 43.1 mL and postoperative TV ≤ 4.6 mL who received no chemotherapy and oligodendroglioma patients with preoperative TV ≤ 43.1 mL and postoperative TV ≤ 4.6 mL. EOR ≥ 75% improved survival outcomes, as shown by propensity score analysis. CONCLUSION Across both subtypes of LGG, EOR beginning at 75% improves OS while beginning at 80% improves progression-free survival. Nonetheless, maximal resection with preservation of neurological function remains the treatment goal. Our findings have implications for surgical strategies for LGGs, particularly oligodendroglioma.
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Affiliation(s)
- Shawn L. Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Yalan Zhang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Joanna J. Phillips
- Department of Pathology, University of California, San Francisco, San Francisco, CA
| | - Ramin A. Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Lucie McCoy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Marisa Lafontaine
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - Tracy Luks
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - Simon Ammanuel
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Sofia Kakaizada
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Andrew Egladyous
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Andrew Gogos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Javier Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - Anny Shai
- Department of Pathology, University of California, San Francisco, San Francisco, CA
| | - Gayathri Warrier
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Terri Rice
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Jason Crane
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - John K. Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Mariza Daras
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennie W. Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Jennifer Clarke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Susan Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Edward Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Manish Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Philip Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Michael McDermott
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Asgeir S. Jakola
- Department of Neurological Surgery, St Olavs University Hospital, Trondheim, Norway
- Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden
| | | | - Noah Nawabi
- Department of Neurological Surgery, Brigham and Women's Hospital, Boston, MA
| | - Ole Solheim
- Department of Neurological Surgery, St Olavs University Hospital, Trondheim, Norway
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Timothy Smith
- Department of Neurological Surgery, Brigham and Women's Hospital, Boston, MA
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Annette M. Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
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23
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Al-Adli NN, Young JS, Sibih YE, Berger MS. Technical Aspects of Motor and Language Mapping in Glioma Patients. Cancers (Basel) 2023; 15:cancers15072173. [PMID: 37046834 PMCID: PMC10093517 DOI: 10.3390/cancers15072173] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 04/08/2023] Open
Abstract
Gliomas are infiltrative primary brain tumors that often invade functional cortical and subcortical regions, and they mandate individualized brain mapping strategies to avoid postoperative neurological deficits. It is well known that maximal safe resection significantly improves survival, while postoperative deficits minimize the benefits associated with aggressive resections and diminish patients’ quality of life. Although non-invasive imaging tools serve as useful adjuncts, intraoperative stimulation mapping (ISM) is the gold standard for identifying functional cortical and subcortical regions and minimizing morbidity during these challenging resections. Current mapping methods rely on the use of low-frequency and high-frequency stimulation, delivered with monopolar or bipolar probes either directly to the cortical surface or to the subcortical white matter structures. Stimulation effects can be monitored through patient responses during awake mapping procedures and/or with motor-evoked and somatosensory-evoked potentials in patients who are asleep. Depending on the patient’s preoperative status and tumor location and size, neurosurgeons may choose to employ these mapping methods during awake or asleep craniotomies, both of which have their own benefits and challenges. Regardless of which method is used, the goal of intraoperative stimulation is to identify areas of non-functional tissue that can be safely removed to facilitate an approach trajectory to the equator, or center, of the tumor. Recent technological advances have improved ISM’s utility in identifying subcortical structures and minimized the seizure risk associated with cortical stimulation. In this review, we summarize the salient technical aspects of which neurosurgeons should be aware in order to implement intraoperative stimulation mapping effectively and safely during glioma surgery.
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Affiliation(s)
- Nadeem N. Al-Adli
- Department of Neurological Surgery, University of California, San Francisco, CA 94131, USA
- School of Medicine, Texas Christian University, Fort Worth, TX 76109, USA
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, CA 94131, USA
| | - Youssef E. Sibih
- School of Medicine, University of California, San Francisco, CA 94131, USA
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, CA 94131, USA
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Nejo T, Krishna S, Jimenez C, Yamamichi A, Young JS, Chen T, Lakshmanachetty S, Watchmaker P, Choudhury A, Ogino H, Raleigh DR, Hervey-Jumper SL, Okada H. Abstract 2497: Glioma-induced neuronal remodeling promotes regional immunosuppression. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Recent studies have elucidated that gliomas remodel neuronal circuits, and distinct intratumoral regions maintain functional connectivity through a subpopulation of synaptogenic malignant cells expressing Thrombospondin-1 (TSP-1, encoded by the THBS1 gene). Single-cell RNA sequencing analyses of our primary glioblastoma patient samples identified a significant downregulation of immune response signatures in myeloid cells and lymphoid cells in functionally connected intratumoral regions characterized by upregulated THBS1. Understanding the biological significance of immunosuppression within functionally connected intratumoral regions may uncover therapeutic vulnerabilities. Here, we investigate glioma-neuronal-immune crosstalk across clinical tumor specimens and preclinical syngeneic models through bulk and single-cell RNA sequencing (13,670 cells), flow cytometry, and spatial transcriptomics. Using an SB28 murine glioma cell line that endogenously expresses Thbs1 at high levels, we generated a CRISPR Thbs1-knock-out (KO) cell line. In bulk RNA-sequencing data performed on orthotopic tumor models, Thbs1-KO tumors were characterized by the downregulated expression of synapse-associated genes and synaptogenic factors and the recovered expression of genes related to immune response. It highlighted the important role of Thrombospondin-1 in synaptogenesis and immunosuppression consistent with the observation from our primary patient tumor samples. Flow cytometry revealed that tumor-associated macrophages isolated from Thbs1-KO tumors were more polarized toward the pro-inflammatory “M1-like” phenotype (median M1/M2 ratio = 0.6 [WT] vs. 1.34 [KO], p < 0.006). Unbiased gene expression program analysis using spatial transcriptomics for in vivo tumor-harboring mouse brains demonstrated a significant negative correlation between signatures of synaptogenesis (represented by Ntng1 and Nlgn3 genes) and those of immune response (represented by Nfkb1 and Cd83 genes). SB28-Thbs1-KO syngeneic models demonstrated slower tumor growth and significantly longer survival compared to Thbs1-WT counterparts (19 days [WT] vs. 25 days [KO], p < 4.5E-5). The survival difference was abrogated in B6-SCID immunodeficient mice, indicating the critical role of adaptive immunity in the survival advantage associated with Thrombospondin-1 downregulation. Our results identify previously unknown immunosuppression mechanisms in the context of glioma-induced intratumoral connectivity via Thrombospondin-1. Future therapeutic strategies targeting this glioma-neuronal-immune crosstalk may open up new avenues for glioblastoma immunotherapy.
Citation Format: Takahide Nejo, Saritha Krishna, Christian Jimenez, Akane Yamamichi, Jacob S. Young, Tiffany Chen, Senthilnath Lakshmanachetty, Payal Watchmaker, Abrar Choudhury, Hirokazu Ogino, David R. Raleigh, Shawn L. Hervey-Jumper, Hideho Okada. Glioma-induced neuronal remodeling promotes regional immunosuppression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2497.
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Affiliation(s)
- Takahide Nejo
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - Saritha Krishna
- 1UCSF - University of California San Francisco, San Francisco, CA
| | | | - Akane Yamamichi
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - Jacob S. Young
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - Tiffany Chen
- 1UCSF - University of California San Francisco, San Francisco, CA
| | | | - Payal Watchmaker
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - Abrar Choudhury
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - Hirokazu Ogino
- 1UCSF - University of California San Francisco, San Francisco, CA
| | - David R. Raleigh
- 1UCSF - University of California San Francisco, San Francisco, CA
| | | | - Hideho Okada
- 1UCSF - University of California San Francisco, San Francisco, CA
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25
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Lad BM, Beniwal AS, Jain S, Shukla P, Jung J, Shah SS, Yagnik G, Babikir H, Nguyen AT, Gill S, Young JS, Lui A, Salha D, Diaz A, Aghi MK. Glioblastoma induces the recruitment and differentiation of hybrid neutrophils from skull bone marrow. bioRxiv 2023:2023.03.24.534105. [PMID: 36993266 PMCID: PMC10055347 DOI: 10.1101/2023.03.24.534105] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Tumor-associated neutrophil (TAN) effects on glioblastoma biology remain under-characterized. We show here that 'hybrid' neutrophils with dendritic features - including morphological complexity, expression of antigen presentation genes, and the ability to process exogenous peptide and stimulate MHCII-dependent T cell activation - accumulate intratumorally and suppress tumor growth in vivo . Trajectory analysis of patient TAN scRNA-seq identifies this phenotype as a polarization state which is distinct from canonical cytotoxic TANs and differentiates intratumorally from immature precursors absent in circulation. Rather, these hybrid-inducible immature neutrophils - which we identified in patient and murine glioblastomas - arise from local skull marrow. Through labeled skull flap transplantation and targeted ablation, we characterize calvarial marrow as a potent contributor of antitumoral myeloid APCs, including hybrid TANs and dendritic cells, which elicit T cell cytotoxicity and memory. As such, agents augmenting neutrophil egress from skull marrow - such as intracalvarial AMD3100 whose survival prolonging-effect in GBM we demonstrate - present therapeutic potential.
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26
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Morshed RA, Saggi S, Cummins DD, Molinaro AM, Young JS, Viner JA, Villanueva-Meyer JE, Goldschmidt E, Boreta L, Braunstein SE, Chang EF, McDermott MW, Berger MS, Theodosopoulos PV, Hervey-Jumper SL, Aghi MK, Daras M. Identification of risk factors associated with leptomeningeal disease after resection of brain metastases. J Neurosurg 2023:1-12. [PMID: 36640095 DOI: 10.3171/2022.12.jns221490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 12/07/2022] [Indexed: 01/15/2023]
Abstract
OBJECTIVE Resection of brain metastases (BMs) may be associated with increased risk of leptomeningeal disease (LMD). This study examined rates and predictors of LMD, including imaging subtypes, in patients who underwent resection of a BM followed by postoperative radiation. METHODS A retrospective, single-center study was conducted examining overall LMD, classic LMD (cLMD), and nodular LMD (nLMD) risk. Logistic regression, Cox proportional hazards, and random forest analyses were performed to identify risk factors associated with LMD. RESULTS Of the 217 patients in the cohort, 47 (21.7%) developed postoperative LMD, with 19 cases (8.8%) of cLMD and 28 cases (12.9%) of nLMD. Six-, 12-, and 24-month LMD-free survival rates were 92.3%, 85.6%, and 71.4%, respectively. Patients with cLMD had worse survival outcomes from the date of LMD diagnosis compared with nLMD (median 2.4 vs 6.9 months, p = 0.02, log-rank test). Cox proportional hazards analysis identified cerebellar/insular/occipital location (hazard ratio [HR] 3.25, 95% confidence interval [CI] 1.73-6.11, p = 0.0003), absence of extracranial disease (HR 2.49, 95% CI 1.27-4.88, p = 0.008), and ventricle contact (HR 2.82, 95% CI 1.5-5.3, p = 0.001) to be associated with postoperative LMD. A predictive model using random forest analysis with an area under the receiver operating characteristic curve of 0.87 in a test cohort identified tumor location, systemic disease status, and tumor volume as the most important factors associated with LMD. CONCLUSIONS Tumor location, absence of extracranial disease at the time of surgery, ventricle contact, and increased tumor volume were associated with LMD. Further work is needed to determine whether escalating therapies in patients at risk of LMD prevents disease dissemination.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Lauren Boreta
- 3Radiation Oncology, University of California, San Francisco, California and
| | - Steve E Braunstein
- 3Radiation Oncology, University of California, San Francisco, California and
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Wang EJ, Haddad AF, Young JS, Morshed RA, Wu JPH, Salha DM, Butowski N, Aghi MK. Recent advances in the molecular prognostication of meningiomas. Front Oncol 2023; 12:910199. [PMID: 36686824 PMCID: PMC9845914 DOI: 10.3389/fonc.2022.910199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 11/17/2022] [Indexed: 01/05/2023] Open
Abstract
Meningiomas are the most common primary intracranial neoplasm. While traditionally viewed as benign, meningiomas are associated with significant patient morbidity, and certain meningioma subgroups display more aggressive and malignant behavior with higher rates of recurrence. Historically, the risk stratification of meningioma recurrence has been primarily associated with the World Health Organization histopathological grade and surgical extent of resection. However, a growing body of literature has highlighted the value of utilizing molecular characteristics to assess meningioma aggressiveness and recurrence risk. In this review, we discuss preclinical and clinical evidence surrounding the use of molecular classification schemes for meningioma prognostication. We also highlight how molecular data may inform meningioma treatment strategies and future directions.
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Affiliation(s)
- Elaina J. Wang
- Department of Neurological Surgery, Brown University, Rhode Island Hospital, Providence, RI, United States
| | - Alexander F. Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Ramin A. Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Joshua P. H. Wu
- Department of Neurological Surgery, Brown University, Rhode Island Hospital, Providence, RI, United States
| | - Diana M. Salha
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Manish K. Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States,*Correspondence: Manish K. Aghi,
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Morshed RA, Nguyen MP, Cummins DD, Saggi S, Young JS, Haddad AF, Goldschmidt E, Chang EF, McDermott MW, Berger MS, Theodosopoulos PV, Hervey-Jumper SL, Daras M, Aghi MK. CDKN2A/B co-deletion is associated with increased risk of local and distant intracranial recurrence after surgical resection of brain metastases. Neurooncol Adv 2023; 5:vdad007. [PMID: 36915611 PMCID: PMC10007908 DOI: 10.1093/noajnl/vdad007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Background While genetic alterations in brain metastases (BMs) have been previously explored, there are limited data examining their association with recurrence after surgical resection. This study aimed to identify genetic alterations within BMs associated with CNS recurrence after surgery across multiple cancer types. Methods A retrospective, single-center study was conducted with patients who underwent resection of a BM with available clinical and gene sequencing data available. Local and remote CNS recurrence were the primary study outcomes. Next-generation sequencing of the coding regions in over 500 oncogenes was performed in brain metastasis specimens. Cox proportional hazards analyses were performed to identify clinical features and genomic alterations associated with CNS recurrence. Results A total of 90 patients undergoing resection of 91 BMs composed the cohort. Genes most frequently mutated in the cohort included TP53 (64%), CDKN2A (37%), TERT (29%), CDKN2B (23%), NF1 (14%), KRAS (14%), and PTEN (13%), all of which occurred across multiple cancer types. CDKN2A/B co-deletion was seen in 21 (23.1%) brain metastases across multiple cancer types. In multivariate Cox proportional hazard analyses including patient, tumor, and treatment factors, CDKN2A/B co-deletion in the brain metastasis was associated with increased risk of local (HR 4.07, 95% CI 1.32-12.54, P = 0.014) and remote (HR 2.28, 95% CI 1.11-4.69, P = 0.025) CNS progression. Median survival and length of follow-up were not different based on CDKN2A/B mutation status. Conclusions CDKN2A/B co-deletion detected in BMs is associated with increased CNS recurrence after surgical resection. Additional work is needed to determine whether more aggressive treatment in patients with this mutation may improve outcomes.
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Affiliation(s)
- Ramin A Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Minh P Nguyen
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel D Cummins
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Satvir Saggi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Ezequiel Goldschmidt
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | | | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Mariza Daras
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
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Garcia JH, Morshed RA, Chung J, Millares Chavez MA, Sudhakar V, Saggi S, Avalos LN, Gallagher A, Young JS, Daras M, McDermott MW, Garcia PA, Chang EF, Aghi MK. Factors associated with preoperative and postoperative seizures in patients undergoing resection of brain metastases. J Neurosurg 2023; 138:19-26. [PMID: 35535842 DOI: 10.3171/2022.3.jns212285] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/11/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Epileptic seizures are a common and potentially devastating complication of metastatic brain tumors. Although tumor-related seizures have been described in previous case series, most studies have focused on primary brain tumors and have not differentiated between different types of cerebral metastases. The authors analyzed a large surgical cohort of patients with brain metastases to examine risk factors associated with preoperative and postoperative seizures and to better understand the seizure risk factors of metastatic brain tumors. METHODS Patients who underwent resection of a brain metastasis at the University of California, San Francisco (UCSF), were retrospectively reviewed. Patients included in the study were ≥ 18 years of age, required resection of a brain metastasis, and were treated at UCSF. Primary cancers included melanoma, non-small cell lung adenocarcinoma, breast adenocarcinoma, colorectal adenocarcinoma, esophageal adenocarcinoma, gastric adenocarcinoma, renal cell carcinoma, urothelial carcinoma, ovarian carcinoma, cervical squamous cell carcinoma, and endometrial adenocarcinoma. Patients were evaluated for primary cancer type and seizure occurrence, as well as need for use of antiepileptic drugs preoperatively, at time of discharge, and at 6 months postoperatively. Additionally, Engel classification scores were assigned to those patients who initially presented with seizures preoperatively. Univariate and multivariate regression analyses were used to assess the association of tumor type with preoperative seizures. RESULTS Data were retrospectively analyzed for 348 consecutive patients who underwent surgical treatment of brain metastases between 1998 and 2019. The cohort had a mean age of 60 years at the time of surgery and was 59% female. The mean and median follow-up durations after the date of surgery for the cohort were 22 months and 10.8 months, respectively. In univariate analysis, frontal lobe location (p = 0.05), melanoma (p = 0.02), KRAS mutation in lung carcinoma (p = 0.04), intratumoral hemorrhage (p = 0.04), and prior radiotherapy (p = 0.04) were associated with seizure presentation. Postoperative checkpoint inhibitor use (p = 0.002), prior radiotherapy (p = 0.05), older age (p = 0.002), distant CNS progression (p = 0.004), and parietal lobe tumor location (p = 0.002) were associated with seizures at 6 months postoperatively. The final multivariate model confirmed the independent effects of tumor location in the frontal lobe and presence of intratumoral hemorrhage as predictors of preoperative seizures, and checkpoint inhibitor use and parietal lobe location were identified as significant predictors of seizures at 6 months postoperatively. CONCLUSIONS Within this surgical cohort of patients with brain metastases, seizures were seen in almost a quarter of patients preoperatively. Frontal lobe metastases and hemorrhagic tumors were associated with higher risk of preoperative seizures, whereas checkpoint inhibitor use and parietal lobe tumors appeared to be associated with seizures at 6 months postoperatively. Future research should focus on the effect of metastatic lesion-targeting therapeutic interventions on seizure control in these patients.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Paul A Garcia
- 2Department of Neurology, University of California, San Francisco, California
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Vasudevan H, Delley C, Aabedi A, Shukla P, Nguyen M, Morshed RA, Young JS, Demaree B, Diwanji D, Hervey-Jumper SL, Boreta L, Fogh S, Nakamura J, Theodospoulos P, Phillips JJ, Daras M, Tsai K, Sneed P, Aghi M, Raleigh D, Braunstein S, Abate A. BIOM-02. MUTATIONAL ANALYSIS AND SINGLE CELL SEQUENCING OF MELANOMA BRAIN METASTASES REVEALS BRAF STATUS CORRELATES WITH CLINICAL OUTCOME AND DIFFERENTIAL IMMUNE POPULATIONS. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac209.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Understanding the molecular landscape and microenvironment of melanoma brain metastases is critical to devise improved treatments. Here, we perform bulk and single cell genomic analysis of melanoma brain metastases to identify molecular correlates of clinical outcome. 84 consecutive patients who underwent surgical resection at a single institution with a histo-pathologically confirmed diagnosis of melanoma brain metastasis were retrospectively identified. In 60 patients (71%) with sufficient brain metastasis tissue for targeted next generation sequencing, DNA mutations were assessed with a CLIA certified sequencing assay. Single nuclear RNA sequencing using the 10x platform was performed on n=6 samples from treatment naïve patients. Overall survival (OS) and CNS progression free survival (CNS PFS) from time of brain metastasis diagnosis were estimated using the Kaplan-Meier method. The median patient age was 62 years old (range: 25-78 years), and the median clinical follow up was 17 months. A total of 33 patients (39%) had BRAFV600E melanoma brain metastases. Multivariate analysis incorporating age, performance status, and extracranial disease revealed BRAF status was an independent prognostic factor for OS (p< 0.05). In patients undergoing targeted next generation sequencing, the most common pathogenic variant was TERT promoter mutation (n=44; 73%). With regard to TCGA molecular melanoma subgroups, NRAS mutant (n=22; 37%) brain metastases were most common followed by BRAF mutant (n=20; 33%), NF1 mutant (n=11; 18%), and triple wildtype (n=7; 12%). Evaluation of clinical outcomes in the context of next generation sequencing results revealed no differences by TERT status but demonstrated worse overall survival in the BRAF mutant molecular group (p< 0.01, log-rank test). Single nuclear sequencing of 36,115 nuclei across 6 samples revealed BRAF wildtype tumors exhibit greater infiltrating immune cell populations including microglia and T cell subtypes. Future work will require integration of these findings with different systemic therapy regimens and across larger, prospective, multi-institutional cohorts.
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Affiliation(s)
- Harish Vasudevan
- University of California, San Francisco , San Francisco, CA , USA
| | | | | | | | | | - Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | | | | | | | | | | | | | | | | | - Mariza Daras
- Brain Tumor Center University of California San Francisco , San Francisco , USA
| | | | | | - Manish Aghi
- University of California, San Francisco , San Francisco , USA
| | - David Raleigh
- Department of Pathology, University of California, San Francisco , San Francisco , USA
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Morshed RA, Cummins D, Nguyen M, Young JS, Theodospoulos P, Hervey-Jumper SL, Aghi M, Daras M. SURG-04. CDK2NA/B, SMAD4, AND PIK3R1 MUTATIONS ARE ASSOCIATED WITH INCREASED RISK OF LOCAL RECURRENCE AFTER SURGICAL RESECTION OF BRAIN METASTASES. Neuro Oncol 2022. [PMCID: PMC9660872 DOI: 10.1093/neuonc/noac209.970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
BACKGROUND
While resection of brain metastases (BMs) offers favorable local disease control, factors and genetic alterations associated with local recurrence are not well defined. This study examined patient, tumor, treatment, and genetic factors associated with local recurrence.
METHODS
A retrospective, single-center study was conducted with patients who underwent resection of a BM with available clinical outcome and genetic data available. Local recurrence was the primary outcome of the study. Next-generation sequencing of coding regions in over 500 cancer genes was performed to detect mutations. Cox proportional hazards analysis was performed to identify patient, tumor, treatment, and genetic factors associated with local recurrence.
RESULTS
We identified 91 patients who underwent surgical resection of a BM with available data, of which 80 (87.1%) underwent preoperative radiotherapy or received some form of adjuvant radiation to the resection cavity. Primary pathologies in the cohort included non-small cell lung cancer (24.2%), melanoma (24.2%), breast cancer (16.5%), gastrointestinal cancers (13.2%), gynecologic cancers (4.4%), renal cell carcinoma (4.4%), and other cancers (13.2%). Eleven patients (12.1%) developed postoperative recurrence at the surgical site with 6- and 12-month PFS of 91.2% and 84.2%. Multivariate Cox proportional hazard analysis identified cancer type (Gyn and RCC vs Others: OR 39.4, p=0.002), CDK2NA/B co-deletion (OR 37.52, p=0.0009), PIK3R1 mutation (OR 56.88, p=0.003), and SMAD4 mutation (OR 134.8, p=0.0007) to be associated with time to local recurrence. Overall survival and length of follow-up were not different based on mutational status of these genes, demonstrating that results were not due to survival bias.
CONCLUSIONS
Genetic alterations within BMs impact clinical outcomes after surgical resection. Further work is needed to determine if targeted therapies for BMs with these alterations can decrease rates of local recurrence.
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Affiliation(s)
- Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | | | - Minh Nguyen
- University of California, San Francisco , San Francisco, CA , USA
| | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | | | | | - Manish Aghi
- University of California, San Francisco , San Francisco , USA
| | - Mariza Daras
- Brain Tumor Center University of California San Francisco , San Francisco , USA
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Young JS, Lucas CH, Seo K, Nguyen M, Chen W, Solomon DA, Berger MS, Phillips JJ, Aghi M, Raleigh D. BIOM-31. TEMPOROSPATIAL PROTEIN PROFILING OF HUMAN GLIOBLASTOMAS REVEALS MOLECULAR MECHANISMS AND BIOMARKERS UNDERLYING RESPONSES TO IMMUNE CHECKPOINT INHIBITION. Neuro Oncol 2022. [PMCID: PMC9660457 DOI: 10.1093/neuonc/noac209.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Glioblastoma responses to immune checkpoint inhibition (ICI) are rare, and the molecular mechanisms underlying ICI responses are incompletely understood. Thus, serial glioblastoma samples are valuable resources for identifying biomarkers or therapeutic targets to increase the efficacy of ICI in patients with glioblastoma. We obtained paired glioblastoma samples from 7 patients who underwent sequential surgery, ICI, and eventual salvage surgery for recurrence. Patients were distinguished as ICI responders (n=3) or non-responders (n=4) based on (1) MRI evidence of tumor stability/reduction over 6+ months after ICI, or (2) pathologic evidence of predominant treatment effect at the time of salvage surgery after ICI. FFPE sections from each tumor (n=14) were stained using H&E or IHC/IF for macrophages/microglia (CD68) or T cells (CD3) and analyzed using light or fluorescence microscopy. Six regions-of-interest (ROIs) comprising viable tumor were selected neuropathologist from each sample (n=84 ROIs). ROIs were analyzed using quantitative spatial profiling of 72 proteins on the Nanostring Digital Profiler platform. Glioblastomas responding to ICI were enriched in T-cell proteins (CD3, CD4, CD8) and T-cell activation markers (CD25) at the time of salvage compared to initial surgery. Markers of MAPK signaling were suppressed in pre-ICI samples compared to post-ICI samples in responders. p-ERK was suppressed in post-ICI samples compared to pre-ICI samples in non-responders. Myeloid proteins (CD68, CD163, CD11c) were enriched in post-ICI samples compared to pre-ICI samples in non-responders. Principle components analysis revealed p-ERK and immune proteins (CD3, CD4, CD8, CD20, CD11c, CTLA4, CD68, CD45, CD56, and CD127) accounted for 62% of the variance among pre-ICI and post-ICI samples in responders. In conclusion, temporospatial protein profiling of human glioblastomas reveals molecular mechanisms and biomarkers underlying responses to immune checkpoint inhibition. These data establish a foundation for functional studies to reprogram the immunosuppressive glioblastoma microenvironment and sensitize tumors to immune checkpoint inhibition.
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Affiliation(s)
- Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | | | - Kyounghee Seo
- University of California, San Francisco , San Francisco, CA , USA
| | - Minh Nguyen
- University of California, San Francisco , San Francisco, CA , USA
| | - William Chen
- University of California, San Francisco , San Francisco , USA
| | | | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Manish Aghi
- University of California, San Francisco , San Francisco , USA
| | - David Raleigh
- Department of Pathology, University of California, San Francisco , San Francisco , USA
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Morshed RA, Saggi S, Cummins D, Young JS, Viner J, Villanueva-Meyer J, Goldschmidt E, Boreta L, Braunstein S, Chang E, McDermott M, Berger MS, Theodospoulos P, Hervey-Jumper SL, Aghi M, Daras M. SURG-05. SUPERVISED MACHINE LEARNING IDENTIFIES RISK FACTORS ASSOCIATED WITH LEPTOMENINGEAL DISEASE AFTER SURGICAL RESECTION OF BRAIN METASTASES. Neuro Oncol 2022. [PMCID: PMC9660687 DOI: 10.1093/neuonc/noac209.971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
INTRODUCTION
Predictors of postoperative leptomeningeal disease (LMD) after resection of brain metastases (BMs) are not well defined.
OBJECTIVE
This study examined rates and predictors of LMD, including subtypes, in patients who underwent resection of a BM followed by postoperative radiation.Method: A retrospective, single-center study was conducted examining overall LMD, classical LMD (cLMD), and nodular LMD (nLMD) risk. Logistic regression and a Cox proportional hazards analyses were performed to identify risk factors associated with LMD. Random forest models were constructed to predict LMD and differentiate cLMD versus nLMD. Accuracy and the area under the receiver operating characteristic curve (AUROC) were calculated to evaluate the models.Result: Of the 217 patients in the cohort, 47 (21.7%) developed postoperative LMD with 19(8.8%) cLMD cases and 28(12.9%) nLMD cases . Six-, 12-, and 24-month LMD-free survival rates were 92.3%, 85.6%, and 71.4%, respectively. Patients with cLMD had worse survival outcomes from LMD diagnosis compared to nLMD (2.4 vs 6.9 mo, Log-rank p=0.02), and treatment of LMD was associated with improved survival for both cLMD and nLMD subtypes. Multivariate Cox hazard analysis identified cerebellar/insular/occipital location (HR 3.25, 95% CI 1.73-6.11, p=0.0003), absence of extracranial disease (HR 2.49, 95% CI 1.27-4.88, p=0.008), and ventricle contact (HR 2.82, 95% CI 1.5-5.3, p=0.001) to be associated with postoperative LMD. A predictive model using random forest analysis with an AUROC of 0.87 in a test cohort identified tumor location, systemic disease status, and tumor volume as the most important factors associated with LMD. Both regression analysis and random forest analysis identified postoperative systemic therapy exposure as the main factor differentiating cLMD from nLMD development.
CONCLUSION
Tumor location, absence of extracranial disease at the time of surgery, contact with a ventricle, and increased tumor volume are associated with LMD. Classical LMD is associated with worse prognosis compared to nLMD.
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Affiliation(s)
- Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | | | | | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | | | | | | | | | | | | | | | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
| | | | | | - Manish Aghi
- University of California, San Francisco , San Francisco , USA
| | - Mariza Daras
- Brain Tumor Center University of California San Francisco , San Francisco , USA
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Nejo T, Krishna S, Young JS, Yamamichi A, Jimenez C, Chen T, Watchmaker P, Choudhury A, Diebold D, Ogino H, Raleigh D, Hervey-Jumper SL, Okada H. CNSC-19. GLIOMA-INDUCED NEURONAL REMODELING PROMOTES REGIONAL IMMUNOSUPPRESSION. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac209.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Gliomas remodel neuronal circuits and distinct intratumoral regions maintain functional connectivity through a subpopulation of synaptogenic malignant cells expressing Thrombospondin-1 (TSP-1, encoded by the Thbs1 gene). Single-cell RNA sequencing analyses of primary patient samples identified a significant downregulation of immune response in myeloid cells and lymphoid cells in high functionally connected intratumoral regions characterized by upregulated TSP-1. Understanding the functional significance of immunosuppression within functionally connected intratumoral regions may uncover therapeutic vulnerabilities. Here, we investigate glioma-neuronal-immune crosstalk across clinical tumor specimens and preclinical syngeneic models through bulk and single-cell RNA sequencing (13,670 cells), flow cytometry, and spatial transcriptomics. Using an SB28 murine glioma cell line with endogenous Thbs1 stably expressed, we generated a CRISPR Thbs1-knock-out (KO) cell line. Bulk RNA-sequencing demonstrated that Thbs1-WT tumors exhibited gene expression programming consistent with synapse-associated genes and synaptogenic factors, recapitulating enriched connectivity in primary patient samples. Flow cytometry of brain-infiltrating leukocytes revealed that macrophages isolated from Thbs1-KO tumors were more frequently polarized into the pro-inflammatory “M1-like” phenotype (median M1/M2 ratio = 0.6 [WT] vs 1.34 [KO], p < 0.006). Unbiased gene expression program analysis using spatial transcriptomics for in vivo tumor-harboring mouse brains demonstrated a significant spatial overlap of signatures of synaptogenesis (represented by Ntng1 and Nlgn3 genes) and downregulated immune response (represented by Nfkb1 and Cd83 genes). SB28-Thbs1-KO syngeneic models demonstrated slower tumor growth and significantly longer survival compared to Thbs1-WT counterparts (19 days [WT] vs 25 days [KO], p < 4.5E-5). The survival difference was abrogated in the B6-SCID immunodeficient mice, indicating the critical role of adaptive immunity in the survival advantage associated with TSP-1 inhibition. Our results identify previously unknown immunosuppression mechanisms in the context of glioma-induced intratumoral connectivity via Thbs1. Future therapeutic strategies targeting this glioma-neuronal-immune crosstalk may open up new avenues for glioblastoma immunotherapy.
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Affiliation(s)
- Takahide Nejo
- Department of Neurological Surgery, University of California, San Francisco , San Francisco, CA , USA
| | - Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco , San Francisco , USA
| | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | - Akane Yamamichi
- Department of Neurological Surgery, University of California, San Francisco , San Francsico , USA
| | - Christian Jimenez
- Department of Neurological Surgery, University of California, San Francisco , San Francisco , USA
| | - Tiffany Chen
- Department of Neurological Surgery, University of California, San Francisco , San Francsico , USA
| | | | - Abrar Choudhury
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Hirokazu Ogino
- Department of Neurological Surgery, University of California, San Francisco , San Francisco , USA
| | - David Raleigh
- Department of Pathology, University of California, San Francisco , San Francisco , USA
| | | | - Hideho Okada
- Department of Neurological Surgery, University of California, San Francisco , San Francsico , USA
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Aabedi A, Lipkin B, Young JS, Hinkley L, Findlay A, Daniel A, Krishna S, Umbach G, Kaur J, Berger MS, Molinaro A, Brang D, Nagarajan S, Hervey-Jumper SL. CNSC-05. ELECTROPHYSIOLOGICAL PATTERNS OF GLIOMA-INDUCED NEURONAL NETWORK REMODELING ARE CONSERVED ACROSS TUMOR SUBTYPE. Neuro Oncol 2022. [PMCID: PMC9660928 DOI: 10.1093/neuonc/noac209.086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Recent evidence indicates that diffuse gliomas engage with neurons at the single-unit and circuit level through differing mechanisms. Certain malignant gliomas form glioma-neuron excitatory glutamatergic synapses and modulate neuron-neuron synapses through activity-dependent paracrine signaling, while others establish glioma-glioma connections via tumor microtubes. It is therefore possible that diffuse gliomas remodel neuronal circuits in a defined and predictable manner and demonstrate distinct electrophysiological profiles with prognostic and therapeutic significance. Here we apply machine learning principles in 140 patients across glioma subtypes to uncover unique electrophysiological features non-invasively via magnetoencephalography (discovery dataset) followed by feature validation using subdural electrocorticography (validation dataset). Following spatial-temporal registration, we fit an elastic net logistic regression classifier to distinguish between power spectra arising from glioma-remodeled cortex and within-subject control conditions. Model significance was determined non-parametrically by re-training each model 1,000 times with randomly permuted class labels and testing the true phi coefficient against the null distribution. In the discovery dataset, we were able to classify glioma infiltration based on tumor intrinsic neuronal activity (p < 0.05) in 127 patients (90.7%). We identified 30 electrophysiological features which revealed increased power in the delta range (1-4 Hz) and decreased power in the beta range (12-20 Hz) as a unique signature of glioma remodeling (p < 0.05) which was preserved in the validation dataset as well as across WHO 2021 diffuse glioma subtypes. In order to identify gene expression programs and signaling mechanisms that may contribute to glioma-induced remodeling but are potentially not identified in the current clinical classification scheme, we assessed targeted, next generation sequencing and DNA mutations as covariates, which again demonstrated the significance of the delta-beta spectral features. These data support converging mechanisms of glioma-induced neuronal network remodeling across tumor subtypes, setting the stage for novel therapies such as neuromodulation.
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Affiliation(s)
| | | | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | | | - Anne Findlay
- University of California, San Francisco , San Francisco , USA
| | - Andy Daniel
- University of California, San Francisco , San Francisco , USA
| | - Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco , San Francisco , USA
| | | | - Jasleen Kaur
- University of California, San Francisco , San Francisco , USA
| | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
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Young JS, Cho NW, Lucas CH, Seo K, Santos R, Liu SJ, Phillips JJ, Ozawa T, Bhaduri A, Aghi M, Berger MS, Raleigh D. TMIC-36. REPROGRAMMING THE GLIOBLASTOMA IMMUNE MICROENVIRONMENT WITH CONVECTION ENHANCED GENE THERAPY REVEALS INTRATUMOR IL6 DRIVES GLIOBLASTOMA IMMUNOSUPPRESSION AND GROWTH. Neuro Oncol 2022. [PMCID: PMC9661155 DOI: 10.1093/neuonc/noac209.1080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
The glioblastoma microenvironment is an immunosuppressive barrier to therapeutic innovation. We hypothesized intratumor convection enhanced delivery (CED) of gene therapy vectors could reprogram the glioblastoma immune microenvironment and elucidate therapeutic vulnerabilities. To test this, SB28 or GL261 glioblastoma allografts were implanted into immunocompetent mice and treated with CED of attenuated adeno-associated virus 9 vectors (AAV9) encoding experimental cytokines (Il1b, Ccl4, or Apoa1) underlying infiltration or activation of anti-tumor immune cells in other intracranial tumors. Serial intracranial bioluminescence was used to assess glioblastoma growth and animals were monitored for survival. The impact of gene therapy perturbations on the glioblastoma immune microenvironment was assessed using histology, immunohistochemistry, single-cell mass cytometry (CyTOF), and multiplexed cytokine assays. Serial body weight and systemic cytokine measurements showed no evidence of treatment toxicity. AAV9-APOA1 or AAV9-IL1B gene therapy CED treatments attenuated SB28 growth and prolonged survival, decreasing immunosuppressive macrophage infiltration and increasing CD8 T cell and microglia infiltration of the glioblastoma microenvironment compared to control AAV9 vectors. Gene therapy CED treatments did not attenuate GL261 growth or prolong survival, but CyTOF of human glioblastomas (n=6) in comparison to preclinical models revealed untreated GL261 glioblastomas were endogenously enriched in CD8 T cells and other lymphoid lineages compared to untreated SB28 or human glioblastomas. Multiplexed cytokine assays demonstrated suppression of intratumor IL6 is a conserved mechanism of action underlying glioblastoma gene therapy responses. Single-cell RNA sequencing analysis of 32,877 cells from human glioblastomas (n=11) showed IL6 is predominantly produced by radial glial like cancer stem cells or endothelial cells in the tumor microenvironment. In support of these findings, survival from intracranial SB28 glioblastomas was prolonged in Il6 knockout C57BL/6J mice compared to wildtype mice. In summary, we report a novel strategy using gene therapy and CED to reprogram the glioblastoma immune microenvironment, revealing IL6 drives glioblastoma immunosuppression and growth.
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Affiliation(s)
- Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | - Nam Woo Cho
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Kyounghee Seo
- University of California, San Francisco , San Francisco, CA , USA
| | - Raquel Santos
- University of California, San Francisco , San Francisco , USA
| | - S John Liu
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Tomoko Ozawa
- University of California, San Francisco , San Francisco , USA
| | | | - Manish Aghi
- University of California, San Francisco , San Francisco , USA
| | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
| | - David Raleigh
- Department of Pathology, University of California, San Francisco , San Francisco , USA
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Young JS, Cho NW, Lucas CH, Seo K, Santos R, Phillips JJ, Ozawa T, Berger MS, Raleigh D. RBIO-04. STEREOTACTIC RADIOSURGERY REPROGRAMS MACROPHAGE, MICROGLIA, AND CD8+ T CELL POPULATIONS IN THE GLIOBLASTOMA IMMUNE MICROENVIRONMENT. Neuro Oncol 2022. [PMCID: PMC9661083 DOI: 10.1093/neuonc/noac209.956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
INTRODUCTION
Fractionated radiotherapy is a first-line treatment for glioblastoma, but daily ionizing radiation prevents durable immune infiltration of the tumor microenvironment. Hypofractionated radiotherapy is used to treat glioblastomas at recurrence, but the impact of hypofractionated radiotherapy on the glioblastoma immune microenvironment is incompletely understood. Here we define immune microenvironment changes across multiple immunocompetent intracranial mouse models of glioblastoma after treatment with ionizing radiation mimicking stereotactic radiosurgery (SRS) in humans.
METHODS
Syngeneic GL261 (3x105 cells/mouse) or SB28 glioblastoma cells (3x104 cells/mouse) were implanted into the frontal lobe of immunocompetent C57BL/6J mice (18 mice/arm x 4 arms). Intracranial bioluminescence was used to assess glioblastoma growth. After tumor engraftment, glioblastomas were treated with conformal SRS (18Gy/1Fx) or sham. Glioblastomas were collected for histologic, single-cell, or molecular analyses 5 days after treatment (6 mice/arm) or at the time of euthanasia after monitoring for survival (12 mice/arm). Glioblastoma immune microenvironment responses were assessed using (1) H&E, (2) single cell mass cytometry (CyTOF) or IHC to define or validate immune cell changes, respectively, or (3) multiplexed cytokine assays to elucidate molecular mechanisms reprograming the glioblastoma immune microenvironment in response to SRS.
RESULTS
SRS attenuated glioblastoma growth and prolonged survival compared to sham treatment in both immunocompetent intracranial mouse models (GL261: 14 days versus 27 days, p< 0.001, SB28: 19 days versus 22 days, p=0.001). CyTOF showed SRS decreased immunosuppressive macrophage infiltration and increased microglia or CD8+ T cell infiltration of the glioblastoma immune microenvironment. Histologic analyses validated T cell and microglia infiltration after SRS. Glioblastoma cytokine analysis revealed inhibition of pro-tumor/anti-inflammatory cytokines (IL6, LIF) after SRS.
CONCLUSIONS
Single-fraction SRS durably reprograms glioblastoma macrophage, microglia, and CD8+ T cell populations in preclinical models, suggesting SRS or inhibition of pro-tumor/anti-inflammatory mechanisms underlying the immunosuppressive glioblastoma microenvironment represent immunogenic therapies that may offer a benefit to patients with glioblastoma.
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Affiliation(s)
- Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | - Nam Woo Cho
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Kyounghee Seo
- University of California, San Francisco , San Francisco, CA , USA
| | - Raquel Santos
- University of California, San Francisco , San Francisco , USA
| | | | - Tomoko Ozawa
- University of California, San Francisco , San Francisco , USA
| | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
| | - David Raleigh
- Department of Pathology, University of California, San Francisco , San Francisco , USA
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38
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Karschnia P, Young JS, Dono A, Häni L, Sciortino T, Bruno F, Jünger ST, Teske N, Morshed RA, Haddad AF, Zhang Y, Stöcklein S, Weller M, Vogelbaum M, Beck J, Tandon N, Hervey-Jumper SL, Molinaro A, Rudà R, Bello L, Schnell O, Esquenazi Y, Ruge MI, Grau SJ, Berger MS, Chang SM, van den Bent M, Tonn JC. SURG-19. PROGNOSTIC VALIDATION OF A NEW CLASSIFICATION SYSTEM FOR EXTENT OF RESECTION IN GLIOBLASTOMA: A REPORT OF THE RANO RESECT GROUP. Neuro Oncol 2022. [PMCID: PMC9660805 DOI: 10.1093/neuonc/noac209.985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
BACKGROUND
Terminology to describe extent of resection in glioblastoma is inconsistent across clinical trials. A surgical classification system was previously proposed based upon residual contrast-enhancing (CE) tumor. We aimed to (I) explore the prognostic utility of the classification system and (II) define how much removed non-CE tumor translates into a survival benefit.
METHODS
The international RANO resect group retrospectively searched the databases from seven neuro-oncological centers in the USA and Europe for patients with newly diagnosed glioblastoma per WHO 2021 classification. Clinical and volumetric information from pre- and post-operative MRI were collected.
RESULTS
We collected 1021 patients with newly diagnosed glioblastoma, including 1008 IDHwt patients. 744 IDHwt glioblastomas were treated with radiochemotherapy per EORTC 26981/22981 (TMZ/RT→TMZ) following surgery. Among such homogenously treated patients, lower absolute residual tumor volumes (in cm3) were favorably associated with outcome: patients with ‘maximal CE resection’ (class 2) had superior outcome compared to patients with ‘submaximal CE resection’ (class 3) or ‘biopsy’ (class 4) (median OS: 19 versus 15 versus 10 months; p=0.001). Extensive resection of non-CE tumor (≤ 5 cm3 residual non-CE tumor) provided an additional survival benefit in patients with complete CE resection, thus defining class 1 (‘supramaximal CE resection’) (median OS: 24 versus 19 months; p=0.008). The prognostic value of the resection classes was retained on multivariate analysis when adjusting for molecular and clinical markers including MGMT promotor status. Relative tumor reduction (in percentage) was not prognostic for outcome on multivariate analysis, and inter-rater agreement for CE and non-CE tumor on post-operative MRI was sufficient.
CONCLUSION
The proposed “RANO categories for extent of resection in glioblastoma” are highly prognostic and may serve for stratification of clinical trials. Removal of non-CE tumor beyond the CE tumor borders translates into additional survival benefit, providing a rationale to explicitly denominate such a ‘supramaximal CE resection’.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University School of Medicine , Munich , Germany
| | - Jacob S Young
- University of California San Francisco , San Francisco, CA , USA
| | - Antonio Dono
- Department of Neurosurgery, University of Texas , Houston, TX , USA
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg , Freiburg , Germany
| | - Tommaso Sciortino
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan , Milan , Italy
| | - Francesco Bruno
- Department of Neurology, Castelfranco Veneto/Treviso Hospitals , Turin , Italy
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University School of Medicine , Munich , Germany
| | - Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | - Alexander F Haddad
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | - Yalan Zhang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco , San Francisco, CA , USA
| | - Sophia Stöcklein
- Department of Radiology, Ludwig-Maximilians-University , Munich , Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich , Zurich , Switzerland
| | - Michael Vogelbaum
- Department of NeuroOncology, Moffitt Cancer Center , Tampa, FL , USA
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg , Freiburg , Germany
| | - Nitin Tandon
- Department of Neurosurgery, University of Texas , Houston, TX , USA
| | | | | | - Roberta Rudà
- Department of Neurology, Castelfranco Veneto/Treviso Hospitals , Turin , Italy
| | - Lorenzo Bello
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan , Milan , Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg , Freiburg , Germany
| | - Yoshua Esquenazi
- Department of Neurosurgery, University of Texas , Houston, TX , USA
| | - Maximilian I Ruge
- Department of Neurosurgery, University of Cologne , Cologne , Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne , Cologne , Germany
| | - Mitchel S Berger
- University of California, San Francisco , San Francisco, CA , USA
| | - Susan M Chang
- University of California, San Francisco , San Francisco, CA , USA
| | | | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University School of Medicine , Munich , Germany
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Haddad AF, Young JS, Gill S, Aghi MK. Resistance to immune checkpoint blockade: Mechanisms, counter-acting approaches, and future directions. Semin Cancer Biol 2022; 86:532-541. [PMID: 35276342 PMCID: PMC9458771 DOI: 10.1016/j.semcancer.2022.02.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 02/01/2022] [Accepted: 02/16/2022] [Indexed: 01/27/2023]
Abstract
Immunotherapies seek to unleash the immune system against cancer cells. While a variety of immunotherapies exist, one of the most commonly used is immune checkpoint blockade, which refers to the use of antibodies to interfere with immunosuppressive signaling through immune checkpoint molecules. Therapies against various checkpoints have had success in the clinic across cancer types. However, the efficacy of checkpoint inhibitors has varied across different cancer types and non-responsive patient populations have emerged. Non-responders to these therapies have highlighted the importance of understanding underlying mechanisms of resistance in order to predict which patients will respond and to tailor individual treatment paradigms. In this review we discuss the literature surrounding tumor mediated mechanisms of immune checkpoint resistance. We also describe efforts to overcome resistance and combine checkpoint inhibitors with additional immunotherapies. Finally, we provide insight into the future of immune checkpoint blockade, including the need for improved preclinical modeling and predictive biomarkers to facilitate personalized cancer treatments for patients.
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Affiliation(s)
| | | | | | - Manish K. Aghi
- Corresponding author at: Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Ave, M-779, San Francisco, CA 94143-0112, USA. (M.K. Aghi)
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40
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Zhang Y, Lucas CHG, Young JS, Morshed RA, McCoy L, Oberheim Bush NA, Taylor JW, Daras M, Butowski NA, Villanueva-Meyer JE, Cha S, Wrensch M, Wiencke JK, Lee JC, Pekmezci M, Phillips JJ, Perry A, Bollen AW, Aghi MK, Theodosopoulos P, Chang EF, Hervey-Jumper SL, Berger MS, Clarke JL, Chang SM, Molinaro AM, Solomon DA. Prospective genomically guided identification of "early/evolving" and "undersampled" IDH-wildtype glioblastoma leads to improved clinical outcomes. Neuro Oncol 2022; 24:1749-1762. [PMID: 35395677 PMCID: PMC9527525 DOI: 10.1093/neuonc/noac089] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Genomic profiling studies of diffuse gliomas have led to new improved classification schemes that better predict patient outcomes compared to conventional histomorphology alone. One example is the recognition that patients with IDH-wildtype diffuse astrocytic gliomas demonstrating lower-grade histologic features but genomic and/or epigenomic profile characteristic of glioblastoma typically have poor outcomes similar to patients with histologically diagnosed glioblastoma. Here we sought to determine the clinical impact of prospective genomic profiling for these IDH-wildtype diffuse astrocytic gliomas lacking high-grade histologic features but with molecular profile of glioblastoma. METHODS Clinical management and outcomes were analyzed for 38 consecutive adult patients with IDH-wildtype diffuse astrocytic gliomas lacking necrosis or microvascular proliferation on histologic examination that were genomically profiled on a prospective clinical basis revealing criteria for an integrated diagnosis of "diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV" per cIMPACT-NOW criteria. RESULTS We identified that this diagnosis consists of two divergent clinical scenarios based on integration of radiologic, histologic, and genomic features that we term "early/evolving" and "undersampled" glioblastoma, IDH-wildtype. We found that prospective genomically guided identification of early/evolving and undersampled IDH-wildtype glioblastoma resulted in more aggressive patient management and improved clinical outcomes compared to a biologically matched historical control patient cohort receiving standard-of-care therapy based on histomorphologic diagnosis alone. CONCLUSIONS These results support routine use of genomic and/or epigenomic profiling to accurately classify glial neoplasms, as these assays not only improve diagnostic classification but critically lead to more appropriate patient management that can improve clinical outcomes.
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Affiliation(s)
- Yalan Zhang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Calixto-Hope G Lucas
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Ramin A Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Lucie McCoy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Nancy Ann Oberheim Bush
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jennie W Taylor
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Mariza Daras
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Nicholas A Butowski
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Javier E Villanueva-Meyer
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Julieann C Lee
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Melike Pekmezci
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Arie Perry
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Andrew W Bollen
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Philip Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Jennifer L Clarke
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Division of Neuro-Oncology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - David A Solomon
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
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Karschnia P, Young JS, Dono A, Häni L, Sciortino T, Bruno F, Juenger ST, Teske N, Morshed RA, Haddad AF, Zhang Y, Stoecklein S, Weller M, Vogelbaum MA, Beck J, Tandon N, Hervey-Jumper S, Molinaro AM, Rudà R, Bello L, Schnell O, Esquenazi Y, Ruge MI, Grau SJ, Berger MS, Chang SM, van den Bent M, Tonn JC. Prognostic validation of a new classification system for extent of resection in glioblastoma: a report of the RANO resect group. Neuro Oncol 2022; 25:940-954. [PMID: 35961053 PMCID: PMC10158281 DOI: 10.1093/neuonc/noac193] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Terminology to describe extent of resection in glioblastoma is inconsistent across clinical trials. A surgical classification system was previously proposed based upon residual contrast-enhancing (CE) tumor. We aimed to (I) explore the prognostic utility of the classification system and (II) define how much removed non-CE tumor translates into a survival benefit. METHODS The international RANO resect group retrospectively searched previously compiled databases from seven neuro-oncological centers in the USA and Europe for patients with newly diagnosed glioblastoma per WHO 2021 classification. Clinical and volumetric information from pre- and post-operative MRI were collected. RESULTS We collected 1008 patients with newly diagnosed IDHwt glioblastoma. 744 IDHwt glioblastomas were treated with radiochemotherapy per EORTC 26981/22981 (TMZ/RT→TMZ) following surgery. Among these homogenously treated patients, lower absolute residual tumor volumes (in cm 3) were favorably associated with outcome: patients with 'maximal CE resection' (class 2) had superior outcome compared to patients with 'submaximal CE resection' (class 3) or 'biopsy' (class 4). Extensive resection of non-CE tumor (≤5 cm 3 residual non-CE tumor) was associated with better survival among patients with complete CE resection, thus defining class 1 ('supramaximal CE resection'). The prognostic value of the resection classes was retained on multivariate analysis when adjusting for molecular and clinical markers. CONCLUSIONS The proposed "RANO categories for extent of resection in glioblastoma" are highly prognostic and may serve for stratification within clinical trials. Removal of non-CE tumor beyond the CE tumor borders may translate into additional survival benefit, providing a rationale to explicitly denominate such 'supramaximal CE resection'.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Yalan Zhang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael A Vogelbaum
- Department of NeuroOncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Shawn Hervey-Jumper
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy.,Division of Neurology, Castelfranco Veneto and Treviso Hospital, Italy
| | - Lorenzo Bello
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Maximilian I Ruge
- Department Stereotactic and Functional Neurosurgery, Centre for Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany.,Klinikum Fulda, Academic Hospital of Marburg University, Fulda, Germany
| | - Mitchel S Berger
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
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Saggi S, Winkler EA, Ammanuel SG, Morshed RA, Garcia JH, Young JS, Semonche A, Fullerton HJ, Kim H, Cooke DL, Hetts SW, Abla A, Lawton MT, Gupta N. Machine learning for predicting hemorrhage in pediatric patients with brain arteriovenous malformation. J Neurosurg Pediatr 2022; 30:203-209. [PMID: 35916099 DOI: 10.3171/2022.4.peds21470] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 04/11/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Ruptured brain arteriovenous malformations (bAVMs) in a child are associated with substantial morbidity and mortality. Prior studies investigating predictors of hemorrhagic presentation of a bAVM during childhood are limited. Machine learning (ML), which has high predictive accuracy when applied to large data sets, can be a useful adjunct for predicting hemorrhagic presentation. The goal of this study was to use ML in conjunction with a traditional regression approach to identify predictors of hemorrhagic presentation in pediatric patients based on a retrospective cohort study design. METHODS Using data obtained from 186 pediatric patients over a 19-year study period, the authors implemented three ML algorithms (random forest models, gradient boosted decision trees, and AdaBoost) to identify features that were most important for predicting hemorrhagic presentation. Additionally, logistic regression analysis was used to ascertain significant predictors of hemorrhagic presentation as a comparison. RESULTS All three ML models were consistent in identifying bAVM size and patient age at presentation as the two most important factors for predicting hemorrhagic presentation. Age at presentation was not identified as a significant predictor of hemorrhagic presentation in multivariable logistic regression. Gradient boosted decision trees/AdaBoost and random forest models identified bAVM location and a concurrent arterial aneurysm as the third most important factors, respectively. Finally, logistic regression identified a left-sided bAVM, small bAVM size, and the presence of a concurrent arterial aneurysm as significant risk factors for hemorrhagic presentation. CONCLUSIONS By using an ML approach, the authors found predictors of hemorrhagic presentation that were not identified using a conventional regression approach.
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Affiliation(s)
- Satvir Saggi
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Ethan A Winkler
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Simon G Ammanuel
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Ramin A Morshed
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Joseph H Garcia
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Jacob S Young
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Alexa Semonche
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Heather J Fullerton
- 2Pediatric Stroke and Cerebrovascular Disease Center, Department of Neurology, University of California, San Francisco
| | - Helen Kim
- 3Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, University of California, San Francisco
| | - Daniel L Cooke
- 4Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Steven W Hetts
- 4Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Adib Abla
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Michael T Lawton
- 5Department of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona; and
| | - Nalin Gupta
- 1Department of Neurological Surgery, University of California, San Francisco.,6Department of Pediatrics, University of California, San Francisco, California
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Young JS, Kidwell RL, Zheng A, Haddad AF, Aghi MK, Raleigh DR, Schulte JD, Butowski NA. CDK 4/6 inhibitors for the treatment of meningioma. Front Oncol 2022; 12:931371. [PMID: 35936751 PMCID: PMC9354681 DOI: 10.3389/fonc.2022.931371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/27/2022] [Indexed: 11/15/2022] Open
Abstract
Meningiomas are the most common non-metastatic brain tumors, and although the majority are relatively slow-growing and histologically benign, a subset of meningiomas are aggressive and remain challenging to treat. Despite a standard of care that includes surgical resection and radiotherapy, and recent advances in meningioma molecular grouping, there are no systemic medical options for patients with meningiomas that are resistant to standard interventions. Misactivation of the cell cycle at the level of CDK4/6 is common in high-grade or molecularly aggressive meningiomas, and CDK4/6 has emerged as a potential target for systemic meningioma treatments. In this review, we describe the preclinical evidence for CDK4/6 inhibitors as a treatment for high-grade meningiomas and summarize evolving clinical experience with these agents. Further, we highlight upcoming clinical trials for patients meningiomas, and discuss future directions aimed at optimizing the efficacy of these therapies and selecting patients most likely to benefit from their use.
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Affiliation(s)
- Jacob S. Young
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
- *Correspondence: Jacob S. Young, ; Nicholas A. Butowski,
| | - Reilly L. Kidwell
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Allison Zheng
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Alex F. Haddad
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Manish K. Aghi
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - David R. Raleigh
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, United States
| | - Jessica D. Schulte
- Division of Neuro-Oncology, University of California San Diego, San Diego, CA, United States
- Department of Neuroscience, University of California San Diego, San Diego, CA, United States
| | - Nicholas A. Butowski
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
- Division of Neuro-Oncology, University of California San Francisco, San Francisco, CA, United States
- *Correspondence: Jacob S. Young, ; Nicholas A. Butowski,
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Aabedi AA, Young JS, Chang EF, Berger MS, Hervey-Jumper SL. Involvement of White Matter Language Tracts in Glioma: Clinical Implications, Operative Management, and Functional Recovery After Injury. Front Neurosci 2022; 16:932478. [PMID: 35898410 PMCID: PMC9309688 DOI: 10.3389/fnins.2022.932478] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
To achieve optimal survival and quality of life outcomes in patients with glioma, the extent of tumor resection must be maximized without causing injury to eloquent structures. Preservation of language function is of particular importance to patients and requires careful mapping to reveal the locations of cortical language hubs and their structural and functional connections. Within this language network, accurate mapping of eloquent white matter tracts is critical, given the high risk of permanent neurological impairment if they are injured during surgery. In this review, we start by describing the clinical implications of gliomas involving white matter language tracts. Next, we highlight the advantages and limitations of methods commonly used to identify these tracts during surgery including structural imaging techniques, functional imaging, non-invasive stimulation, and finally, awake craniotomy. We provide a rationale for combining these complementary techniques as part of a multimodal mapping paradigm to optimize postoperative language outcomes. Next, we review local and long-range adaptations that take place as the language network undergoes remodeling after tumor growth and surgical resection. We discuss the probable cellular mechanisms underlying this plasticity with emphasis on the white matter, which until recently was thought to have a limited role in adults. Finally, we provide an overview of emerging developments in targeting the glioma-neuronal network interface to achieve better disease control and promote recovery after injury.
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Karschnia P, Young JS, Dono A, Häni L, Sciortino T, Bruno F, Jünger ST, Teske N, Weller M, Ruda R, Bello L, Schnell O, Esquenazi Y, Grau S, Molinaro AM, Berger MS, Chang SM, Van Den Bent MJ, Tonn J. Prognostic validation and refinement of a classification system for extent of resection in glioblastoma: A report of the RANO resect group. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2003 Background: Terminology to describe extent of resection in glioblastoma is inconsistent across clinical trials. A surgical classification system for glioblastoma was previously proposed based upon the absolute residual contrast-enhancing (CE) tumor (in cm3) and the relative reduction of CE tumor (in percentage) on postoperative MRI. Class 0 was defined as ‘supramaximal CE resection’ (also including removal of non-CE tumor), class 1 as ‘maximal CE resection’, class 2 as ‘submaximal CE resection’, and class 3 as ‘biopsy’. We aimed to (I) explore the prognostic utility of the proposed classification system and (II) define how much non-CE tumor needs to be removed to translate into a survival benefit. Methods: An international Response Assessment in Neuro-Oncology (RANO) group was formed, entitled RANO resect. The members of the RANO resect group retrospectively searched the databases from seven neuro-oncological centers in the USA and Europe for patients with newly diagnosed glioblastoma. Clinical characteristics, volumetric information from pre- and postoperative MRI, and outcome were collected. Kaplan-Meier survival analysis and log-rank test were applied to calculate survival, and Cox’s proportional hazard regression model to adjust for multiple variables. Significance level was set at p ≤ 0.05. Results: We encountered 1021 patients with newly diagnosed glioblastoma, including 1008 IDHwt patients. 744 IDHwt patients were treated with radiochemotherapy per EORTC 26981/22981 following surgery. Among such homogenously treated patients, higher extent of resection was favorably associated with outcome: patients with ‘maximal CE resection’ (class 1) had superior outcome compared to patients with ‘submaximal CE resection’ (class 2) or ‘biopsy’ (class 3) (median OS: 20 versus 16 versus 10 months; p = 0.001). Similar findings were made when assessing progression (median PFS: 9 versus 8 versus 5 months; p = 0.001). Extensive resection of non-CE tumor (≥60% of non-CE tumor removed and ≤5 cm3 residual non-CE tumor) provided an additional survival benefit in patients with complete CE resection (class 1), thus defining class 0 (‘supramaximal CE resection’) (median OS: 29 versus 20 months; p = 0.003). Smaller pre-operative tumor volumes were associated with larger extent of resection. The favorable prognostic effect of CE resection was conserved in a multivariate analysis when stratifying for molecular and clinical markers including pre-operative tumor volume and MGMT promotor status ( p = 0.001). Conclusions: The proposed classification system for extent of surgery in glioblastoma is highly prognostic and may serve for stratification and design of clinical trials. Removal of non-CE tumor beyond the CE tumor borders translates into additional survival benefit in glioblastomas, providing a rationale to explicitly denominate such a 'supramaximal CE resection.'
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | - Antonio Dono
- Department of Neurosurgery, University of Texas, Houston, TX
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Francesco Bruno
- Department of Neurology, Castelfranco Veneto/Treviso Hospitals, Turin, Italy
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Roberta Ruda
- Department of Neurology, Castelfranco Veneto/Treviso Hospitals, Turin, Italy
| | - Lorenzo Bello
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | | | - Stefan Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
| | - Annette M. Molinaro
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | - Mitchel S. Berger
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | - Susan Marina Chang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | | | - Joerg Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
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Young JS, Cho NW, Casey-Clyde T, Santos R, Seo K, Phillips JJ, Berger MS, Ozawa T, Raleigh DR. Convection-delivered adenoviral gene therapy reprograms the immunosuppressive glioblastoma microenvironment. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2039 Background: Immune checkpoint inhibition has not improved outcomes for glioblastoma patients, and single- cell approaches reveal the glioblastoma microenvironment is largely comprised of immunosuppressive cells. We hypothesized intratumor convection enhanced delivery (CED) of adenoviral gene therapy could recruit and activate anti-tumor immune cells in the glioblastoma microenvironment. Methods: Syngeneic GL261 (3x105 cells/mouse) or SB28 glioblastoma (3 x 104) cells were implanted into the frontal lobe of immunocompetent C57BL/6J mice (18 mice/arm). Intracranial bioluminescence (BLI) and body weight (BW) measurements were used to assess glioblastoma growth and treatment toxicity, respectively. After tumor engraftment, glioblastomas were treated with conformal ionizing radiation mimicking stereotactic radiosurgery (SRS) in human patients as a positive control for tumor inhibition (18Gy/1Fx). Attenuated adeno-associated virus 9 (AAV9) vectors encoding Gfp as a negative control, or encoding experimental cytokines driving recruitment and activation of anti-tumor immune cells in other intracranial tumors ( Ccl4, Il1b, or Apoa1) were delivered using CED (2x1011 vg/mouse). Glioblastomas were collected for histologic, single-cell, and molecular analyses 5 days after treatment (6 mice/arm) and at endpoints after monitoring for survival (12 mice/arm). CED targeting was validated using AAV9-GFP and confocal microscopy. Treatment responses were assessed using H&E, IHC, multiplexed cytokine assays, and single cell mass cytometry (CyTOF) to define immune cell types in the glioblastoma microenvironment. Results: Histologic analyses revealed AAV9-CCL4, AAV9-IL1B, or SRS induced glioblastoma macrophage infiltration, and AAV9-IL1B, AAV9-APOA1, or SRS induced glioblastoma T cell infiltration. AAV9-APOA1 (18.5 days versus 15 days, p < 0.001) or AAV9-IL1B (16.5 days versus 15 days, p = 0.001) CED treatments prolonged median survival from SB28 allografts. Glioblastoma cytokine analysis revealed inhibition of pro-tumor cytokines (IL6, LIF) after experimental CED treatments. Systemic cytokines were minimally changed by CED treatments. CyTOF showed decreased immunosuppressive macrophage infiltration and increased CD8+ T cell or microglia infiltration of the glioblastoma microenvironment after experimental CED treatments. There was no evidence of systemic or central toxicity in any treatment condition. Conclusions: Convection-enhanced delivered of adenoviral gene therapy reprograms the glioblastoma immune microenvironment and improves survival in an immunologically “cold” syngeneic glioblastoma model.
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Affiliation(s)
- Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | - Nam Woo Cho
- University of California-San Francisco, San Francisco, CA
| | - Ti Casey-Clyde
- University of California-San Francisco, San Francisco, CA
| | - Raquel Santos
- University of California-San Francisco, San Francisco, CA
| | - Kyounghee Seo
- University of California-San Francisco, San Francisco, CA
| | | | - Mitchel S. Berger
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | - Tomoko Ozawa
- University of California-San Francisco, San Francisco, CA
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Chen WC, Choudhury A, Vasudevan H, Lucas CHC, Nguyen MP, Young JS, Yu T, Chan J, Oberheim Bush NA, Schulte J, Villanueva-Meyer J, Braunstein SE, Butowski NA, Sneed P, Berger M, Perry A, Solomon D, McDermott MW, Magill ST, Raleigh DR. A targeted gene expression biomarker and association with meningioma outcomes and radiotherapy. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2007 Background: Improvements in risk stratification of meningioma are needed to guide post-operative management and application of adjuvant therapy. Although profiling of DNA methylation, copy number variants (CNVs), RNA sequencing, and exome sequencing have better elucidated meningioma biology, these approaches have not revealed clinically tractable biomarkers for radiotherapy responses. In this study, we develop and validate a targeted gene expression biomarker to predict meningioma outcomes and benefit from radiotherapy. Methods: Targeted gene expression profiling was performed on a development set of 173 meningiomas (median follow-up 8.1 years) and a validation set of 331 consecutive meningiomas (median follow-up 6.1 years) treated at independent institutions (70% WHO grade 1, 24% WHO grade 2, 6% WHO grade 3). All patients underwent surgery (n = 504) with or without postoperative radiotherapy (n = 73 with radiation). Regularized Cox regression within the development set resulted in a continuous gene expression risk score for local freedom from recurrence (LFFR). The model (34 genes and 7 housekeeping genes) and thresholds for low, intermediate, and high-risk scores were locked and applied to the validation set. Results: The gene expression risk score outperformed WHO grade (validation 5-year LFFR delta-AUC 0.15, 95% CI 0.076-0.229, p = 0.001) and DNA methylation grouping (delta-AUC 0.075, 95% CI 0.006-0.130, p = 0.01) for LFFR, disease-specific survival, and OS, achieving a negative predictive value for recurrence at 5-years of 93.2%. The biomarker reclassified 35.8% of WHO grade 1 tumors as intermediate or high risk (5-year LFFR/OS 62%/79%), and 18.3% of WHO grade 2-3 tumors as low risk (5-year LFFR/OS 78%/100%). The biomarker was independently prognostic after accounting for WHO grade, extent of resection, primary versus recurrent presentation, CNV status, DNA methylation group, and Ki67 labeling index, and was predictive for LFFR after postoperative radiotherapy, with a hazard ratio of 0.41 for intermediate to high risk propensity-matched meningiomas (95% CI 0.2-0.9, p = 0.0002) versus 0.79 for low risk meningiomas (95% CI 0.1-8.8, p = 0.5182). Conclusions: Targeted gene expression profiling of 504 meningiomas resulted in a biomarker which improved discrimination of meningioma local recurrence, disease-specific survival, and overall survival, and also predicted benefit from radiotherapy.
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Affiliation(s)
| | | | | | | | | | - Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA
| | | | - Jason Chan
- University of California San Francisco, San Francisco, CA
| | | | | | | | | | | | - Penny Sneed
- University of California-San Francisco, San Francisco, CA
| | | | - Arie Perry
- University of California-San Francisco, San Francisco, CA
| | - David Solomon
- University of California-San Francisco, San Francisco, CA
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Morshed RA, Young JS, Casey M, Wang EJ, Aghi MK, Berger MS, Hervey-Jumper SL. Sarcopenia Diagnosed Using Masseter Muscle Diameter as a Survival Correlate in Elderly Patients with Glioblastoma. World Neurosurg 2022; 161:e448-e463. [PMID: 35181534 PMCID: PMC9284942 DOI: 10.1016/j.wneu.2022.02.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Elderly patients with glioblastoma (GBM) have a worse prognosis than do younger patients. The present study aimed to identify the patient, treatment, and imaging features, including measures of sarcopenia, associated with worse survival and 90-day postoperative mortality for elderly patients with GBM. METHODS A single-center retrospective study was conducted of patients aged ≥79 years at surgery who had undergone biopsy or resection of a World Health Organization grade IV GBM at the initial diagnosis. Imaging features of sarcopenia were collected, including the masseter and temporalis muscle diameters. Multivariate analyses were performed to identify factors associated with survival and 30-day complications. RESULTS The cohort included 110 patients with a mean age of 82.8 years at surgery and a median preoperative Karnofsky performance scale score of 80. The majority of patients underwent a surgical resection (66.4%) while a minority underwent biopsy (33.6%). Adjuvant chemo- and/or radiation therapy were used in 72.5% of the cohort. On multivariate analysis, age (hazard ratio [HR], 7.97; 95% confidence interval [CI], 1.63-36.3), adjuvant therapy (RT or TMZ vs. none: HR, 0.12; 95% CI, 0.05-0.3; RT plus TMZ vs. none: HR, 0.05; 95% CI, 0.02-0.14), surgical resection (HR, 0.46; 95% CI, 0.24-0.9), multifocality (HR, 2.7; 95% CI, 1.14-6.4), and masseter diameter (HR, 0.12; 95% CI, 0.02-0.78) were associated with survival. Masseter diameter was the only factor associated with 90-day mortality after surgical resection (P = 0.044). CONCLUSIONS GBM patients over the age of 79 have acceptable outcomes after resection, followed by adjuvant chemotherapy and RT. In addition to the treatment factors that predicted for survival, a decreased masseter diameter on preoperative imaging, a marker of sarcopenia, was associated with shorter overall survival and 90-day mortality after surgical resection.
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Affiliation(s)
- Ramin A Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Megan Casey
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Elaina J Wang
- Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
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Chalif EJ, Morshed RA, Young JS, Haddad AF, Jain S, Aghi MK. Pituitary adenoma in the elderly: surgical outcomes and treatment trends in the United States. J Neurosurg 2022; 137:1687-1698. [PMID: 35535847 DOI: 10.3171/2022.3.jns212940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/21/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Decision-making in how to manage pituitary adenomas (PAs) in the elderly (age ≥ 65 years) can be challenging given the benign nature of these tumors and concerns about surgical morbidity in these patients. In this study involving a large multicenter national registry, the authors examined treatment trends and surgical outcomes in elderly compared to nonelderly patients. METHODS The National Cancer Data Base (NCDB) was queried for adults aged ≥ 18 years with PA diagnosed by MRI (in observed cases) or pathology (in surgical cases) from 2004 to 2016. Univariate and multivariate logistic regressions were used to evaluate the prognostic impact of age and other covariates on 30- and 90-day postsurgical mortality (30M/90M), prolonged (≥ 5 days) length of inpatient hospital stay (LOS), and extent of resection. RESULTS A total of 96,399 cases met the study inclusion criteria, 27% of which were microadenomas and 73% of which were macroadenomas. Among these cases were 25,464 elderly patients with PA. Fifty-three percent of these elderly patients were treated with surgery, 1.9% underwent upfront radiotherapy, and 44.9% were observed without treatment. Factors associated with surgical treatment compared to observation included younger age, higher income, private insurance, higher Charlson-Deyo comorbidity (CD) score, larger tumor size, and receiving treatment at an academic hospital (each p ≤ 0.01). Elderly patients undergoing surgery had increased rates of 30M (1.4% vs 0.6%), 90M (2.8% vs 0.9%), prolonged LOS (26.1% vs 23.0%), and subtotal resection (27.2% vs 24.5%; each p ≤ 0.01) compared to those in nonelderly PA patients. On multivariate analysis, age, tumor size, and CD score were independently associated with worse postsurgical mortality. High-volume facilities (HVFs) had significantly better outcomes than low-volume facilities: 30M (0.9% vs 1.8%, p < 0.001), 90M (2.0% vs 3.5%, p < 0.001), and prolonged LOS (21.8% vs 30.3%, p < 0.001). A systematic literature review composed of 22 studies demonstrated an elderly PA patient mortality rate of 0.7%, which is dramatically lower than real-world NCDB outcomes and speaks to substantial selection bias in the previously published literature. CONCLUSIONS The study findings confirm that elderly patients with PA are at higher risk for postoperative mortality than younger patients. Surgical risk in this age group may have been previously underreported in the literature. Resection at HVFs better reflects these historical rates, which has important implications in elderly patients for whom surgery is being considered.
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Haddad AF, Young JS, Morshed RA, Berger MS. FLAIRectomy: Resecting beyond the Contrast Margin for Glioblastoma. Brain Sci 2022; 12:brainsci12050544. [PMID: 35624931 PMCID: PMC9139350 DOI: 10.3390/brainsci12050544] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 12/11/2022] Open
Abstract
The standard of care for isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GBM) is maximal resection followed by chemotherapy and radiation. Studies investigating the resection of GBM have primarily focused on the contrast enhancing portion of the tumor on magnetic resonance imaging. Histopathological studies, however, have demonstrated tumor infiltration within peri-tumoral fluid-attenuated inversion recovery (FLAIR) abnormalities, which is often not resected. The histopathology of FLAIR and local recurrence patterns of GBM have prompted interest in the resection of peri-tumoral FLAIR, or FLAIRectomy. To this point, recent studies have suggested a significant survival benefit associated with safe peri-tumoral FLAIR resection. In this review, we discuss the evidence surrounding the composition of peri-tumoral FLAIR, outcomes associated with FLAIRectomy, future directions of the field, and potential implications for patients.
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