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Timaran-Montenegro D, Nunez L, Dono A, Arevalo O, Rodriguez A, Khalaj K, McCarty J, Zhu JJ, Esquenazi Y, Riascos R. Glioblastoma IDH-wild type: imaging independent predictors of gross total resection (GTR) using the VASARI feature set and tumoral volumetric measurements. Acta Radiol 2025; 66:546-557. [PMID: 40079778 DOI: 10.1177/02841851251316400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2025]
Abstract
BackgroundExtent of resection (EOR), including gross total resection (GTR), is one of the most important factors in predicting overall survival (OS) in IDH-wild type (IDH-WT) glioblastoma patients. Although GTR represents the complete resection of all visible contrast-enhancing parts of the tumor, imaging predictors of achieving this extent still need to be better understood.PurposeTo assess the impact of preoperative imaging phenotypes as defined by the VASARI feature set and tumoral volumetry to determine predictors of GTR in patients with IDH-WT glioblastoma.Material and MethodsThis retrospective, single-center study analyzed imaging characteristics based on the VASARI features in the preoperative scans of IDH-WT glioblastoma patients. Volumetric analysis was performed to determine associations with clinical outcomes. Univariate analysis was used to determine the association of VASARI features with GTR. A multivariate analysis model was used to determine predictors of GTR.ResultsGTR was achieved in 79/144 (54.8%) patients, near total resection in 15 (10.4%), and subtotal resection in 50 (34.7%) patients. Our results showed non-eloquent tumor regions (55% vs. 35%; P = 0.04) and thick margin of enhancement (56.1% vs. 43.9%; P = 0.04) were associated with GTR and ependymal extension (37% vs. 63%; P = 0.02). Deep white matter invasion (36.3% vs. 63.7%; P = 0.03) was significantly associated with non-gross total resection. Lower tumoral volumes were also associated with gross total resection (P < 0.01). After performing multivariate analysis, the thickness of the tumoral enhancing margins was correlated with GTR with an OR of 1.57 (95% CI=1.1-2.23). Furthermore, the volume of the enhancing component was significantly different according to EOR with a calculated OR of 0.95 (95% CI = 0.92-0.97; P < 0.01).ConclusionImaging characteristics on standard-of-care MRI can predict the rate of GTR in patients with IDH-WT glioblastomas. The thickness of enhancing margins predicts GTR after multivariate analysis. A diagnostic model that includes a combination of the discriminating depicted features on MRI and brain tumor volumetrics has an acceptable diagnostic performance with a specificity >90%.
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Affiliation(s)
- David Timaran-Montenegro
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Luis Nunez
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery, University of Texas Health Science Center at Houston, McGovern Medical School Houston, Houston, TX, USA
| | - Octavio Arevalo
- Department of Radiology, Louisiana State University at Shreveport, Shreveport, LA, USA
| | - Andres Rodriguez
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Kamand Khalaj
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jennifer McCarty
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, University of Texas Health Science Center at Houston, McGovern Medical School Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, University of Texas Health Science Center at Houston, McGovern Medical School Houston, Houston, TX, USA
| | - Roy Riascos
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
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Mut M, Zengin HY, Azizova A, Askun CS, Schiff D, Soylemezoglu F. Repeat Resection for Recurrent Glioblastoma in the WHO 2021 Era: A Longitudinal Matched Case-Control Study. Brain Sci 2025; 15:463. [PMID: 40426634 PMCID: PMC12109614 DOI: 10.3390/brainsci15050463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2025] [Revised: 04/19/2025] [Accepted: 04/26/2025] [Indexed: 05/29/2025] Open
Abstract
BACKGROUND AND OBJECTIVES This study aims to evaluate the overall survival benefits of repeat resection in patients with recurrent glioblastoma, IDH-wildtype (rGBM), and to identify factors for long-term survival, including the role of clinical, radiological, and molecular parameters. METHODS This longitudinal matched case-control study included 60 patients with rGBM divided into two groups: one surgery (n = 30) and repeat resection (n = 30). The baseline characteristics, preoperative and postoperative volumes, and molecular markers were assessed. Survival analyses were conducted using the Log-rank test, and associated factors with long-term survival were identified in the repeat resection cohort. RESULTS The patients who underwent repeat resection had a significantly longer median survival of 23.9 months compared to 9.2 months in the one-surgery group (p < 0.001). Preoperative tumor volume was found to correlate with postoperative residual volume in repeat resections. The patients with no residual contrast-enhancing tumor volume (0 cm3) after repeat resection had a median survival of 19.33 months, while those with any residual volume had a median survival of 10.13 months. The patients with lower KPS (≤70) and GCS (≤13) scores at the time of the repeat resection tended to have shorter survival, underscoring the potential clinical relevance of functional status when evaluating surgical candidacy. CONCLUSIONS Complete repeat resection may improve overall survival in patients with recurrent IDH-wildtype GBM and should be considered earlier as a therapeutic option rather than a diagnostic or salvage procedure. Early surgical intervention, before declines in the KPS and GCS or tumor volumes become unmanageable, may lead to better outcomes. Further studies with larger cohorts are needed to confirm these findings.
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Affiliation(s)
- Melike Mut
- Department of Neurosurgery, University of Virginia, Charlottesville, VA 22908, USA
- Department of Neurosurgery, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey
| | - Hatice Yagmur Zengin
- Department of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey
| | - Aynur Azizova
- Radiology & Nuclear Medicine Department, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, 1105 AZ Amsterdam, The Netherlands
- Department of Radiology, Hacettepe University School of Medicine, Ankara 06100, Turkey
| | - Cengiz Savas Askun
- Department of Computer Education and Instructional Technology, Middle East Technical University, Ankara 06800, Turkey
| | - David Schiff
- Department of Neurology, Division of Neuro-Oncology, University of Virginia, Charlottesville, VA 22903, USA
| | - Figen Soylemezoglu
- Department of Pathology, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey
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Lim S, Clarke NH, Maloney SL, Sener UT, Caron SJ, Kizilbash SH, Campian JL, Neth BJ, Carabenciov ID, Uhm J, Ruff MW. Bevacizumab exerts dose-dependent risk for intracranial hemorrhage in patients with malignant gliomas. J Neurooncol 2025; 172:273-280. [PMID: 39747716 DOI: 10.1007/s11060-024-04916-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Accepted: 12/14/2024] [Indexed: 01/04/2025]
Abstract
PURPOSE Bevacizumab, an anti-VEGF monoclonal antibody, has become a mainstay therapeutic in the management of malignant glioma. It is unknown if the risk of intracranial hemorrhage (ICH), a major complication associated with bevacizumab use, is dose-dependent. METHODS This was a single institution retrospective analysis of patients treated with bevacizumab for the management of gliomas between 2009 and 2022. Incidence rates of ICH between patients receiving low-dose (< 5 mg/kg/week) and conventional-dose (5 mg/kg/week) bevacizumab regimens were compared via competing risk analysis over time. We evaluated post-progression survival (PPS) as a secondary outcome using multivariate Cox regression. RESULTS One hundred and seventy-three patients were identified (low-dose group, n = 51, conventional-dose group, n = 122) for inclusion in our analysis. Cumulative incidence rates of all cases of ICH and clinically symptomatic cases of ICH were higher in the conventional-dose (17.2% for all cases, 13.7% for symptomatic) relative to the low-dose group (3.9% for all cases, 2.0% for symptomatic); p-value 0.0296 for all cases, p-value 0.0274 for symptomatic cases. On multivariate Fine-Gray regression, conventional-dose bevacizumab therapy remained significantly associated with increased risk for symptomatic ICH (SHR 8.0560; p-value 0.0442). No difference in PPS was observed between the low-dose versus conventional-dose groups. CONCLUSIONS Conventional-dose bevacizumab therapy (5 mg/kg/week) is associated with increased incidence of ICH in patients with malignant glioma compared to lower dose bevacizumab (< 5 mg/kg/week) in this single center retrospective cohort. No difference in PPS was observed between the low-dose versus conventional-dose groups.
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Affiliation(s)
- Sanghee Lim
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Nathan H Clarke
- Division of Neuro-Oncology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Sara L Maloney
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Ugur T Sener
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Samantha J Caron
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Sani H Kizilbash
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Jian L Campian
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Bryan J Neth
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Ivan D Carabenciov
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Joon Uhm
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Michael W Ruff
- Division of Neuro-Oncology, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
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Dono A, Zhu P, Takayasu T, Arevalo O, Riascos R, Tandon N, Ballester LY, Esquenazi Y. Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase-Wildtype Glioblastoma. Neurosurgery 2024; 95:932-940. [PMID: 38687046 DOI: 10.1227/neu.0000000000002964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/05/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Maximizing the extent of resection (EOR) improves outcomes in glioblastoma (GBM). However, previous GBM studies have not addressed the EOR impact in molecular subgroups beyond IDH1/IDH2 status. In the current article, we evaluate whether EOR confers a benefit in all GBM subtypes or only in particular molecular subgroups. METHODS A retrospective cohort of newly diagnosed GBM isocitrate dehydrogenase (IDH)-wildtype undergoing resection were prospectively included in a database (n = 138). EOR and residual tumor volume (RTV) were quantified with semiautomated software. Formalin-fixed paraffin-embedded tumor tissues were analyzed by targeted next-generation sequencing. The association between recurrent genomic alterations and EOR/RTV was evaluated using a recursive partitioning analysis to identify thresholds of EOR or RTV that may predict survival. The Kaplan-Meier methods and multivariable Cox proportional hazards regression methods were applied for survival analysis. RESULTS Patients with EOR ≥88% experienced 44% prolonged overall survival (OS) in multivariable analysis (hazard ratio: 0.56, P = .030). Patients with alterations in the TP53 pathway and EOR <89% showed reduced OS compared to TP53 pathway altered patients with EOR>89% (10.5 vs 18.8 months; HR: 2.78, P = .013); however, EOR/RTV was not associated with OS in patients without alterations in the TP53 pathway. Meanwhile, in all patients with EOR <88%, PTEN -altered had significantly worse OS than PTEN -wildtype (9.5 vs 15.4 months; HR: 4.53, P < .001). CONCLUSION Our results suggest that a subset of molecularly defined GBM IDH-wildtype may benefit more from aggressive resections. Re-resections to optimize EOR might be beneficial in a subset of molecularly defined GBMs. Molecular alterations should be taken into consideration for surgical treatment decisions in GBM IDH-wildtype.
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Affiliation(s)
- Antonio Dono
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
| | - Ping Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
| | | | - Octavio Arevalo
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
| | - Roy Riascos
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
- Memorial Hermann Hospital - TMC, Houston , Texas , USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
- Memorial Hermann Hospital - TMC, Houston , Texas , USA
| | - Leomar Y Ballester
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston , Texas , USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston , Texas , USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston , Texas , USA
- Memorial Hermann Hospital - TMC, Houston , Texas , USA
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston , Texas , USA
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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: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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Dono A, Rodriguez-Armendariz AG, Esquenazi Y. Commentary: Predictors and Impact of Postoperative 30-Day Readmission in Glioblastoma. Neurosurgery 2022; 91:e129-e130. [DOI: 10.1227/neu.0000000000002156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 11/19/2022] Open
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Sener U, Ruff MW, Campian JL. Immunotherapy in Glioblastoma: Current Approaches and Future Perspectives. Int J Mol Sci 2022; 23:7046. [PMID: 35806051 PMCID: PMC9266573 DOI: 10.3390/ijms23137046] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 06/16/2022] [Accepted: 06/22/2022] [Indexed: 02/04/2023] Open
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor. Despite multimodality treatment with surgical resection, radiation therapy, chemotherapy, and tumor treating fields, recurrence is universal, median observed survival is low at 8 months and 5-year overall survival is poor at 7%. Immunotherapy aims to generate a tumor-specific immune response to selectively eliminate tumor cells. In treatment of GBM, immunotherapy approaches including use of checkpoint inhibitors, chimeric antigen receptor (CAR) T-Cell therapy, vaccine-based approaches, viral vector therapies, and cytokine-based treatment has been studied. While there have been no major breakthroughs to date and broad implementation of immunotherapy for GBM remains elusive, multiple studies are underway. In this review, we discuss immunotherapy approaches to GBM with an emphasis on molecularly informed approaches.
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Affiliation(s)
- Ugur Sener
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Michael W. Ruff
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Jian L. Campian
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA;
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