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Mason WP, Harrison RA, Lapointe S, Lim-Fat MJ, MacNeil MV, Mathieu D, Perry JR, Pitz MW, Roberge D, Tsang DS, Tsien C, van Landeghem FKH, Zadeh G, Easaw J. Canadian Expert Consensus Recommendations for the Diagnosis and Management of Glioblastoma: Results of a Delphi Study. Curr Oncol 2025; 32:207. [PMID: 40277764 PMCID: PMC12026134 DOI: 10.3390/curroncol32040207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 03/24/2025] [Accepted: 03/25/2025] [Indexed: 04/26/2025] Open
Abstract
Glioblastoma is the most common and aggressive malignant brain tumor in adults, with an increasing incidence and a poor prognosis. Current challenges in glioblastoma management include rapid tumor growth, limited treatment effectiveness, high recurrence rates, and a significant impact on patients' quality of life. Given the complexity of glioblastoma care and recent advancements in diagnostic and treatment modalities, updated guidelines are needed in Canada. This Delphi study aimed to develop Canadian consensus recommendations for the diagnosis, classification, and management of newly diagnosed and recurrent glioblastoma. A multidisciplinary panel of 14 Canadian experts in glioblastoma care was convened, and a comprehensive literature review was conducted to synthesize evidence and formulate initial recommendations. Consensus was achieved through three Delphi rounds, in which panelists rated their agreement with recommendation statements on a five-point Likert scale. Statements with ≥75% agreement were accepted, and others were revised for re-voting. Final recommendations were formulated based on the consensus level, strength of evidence, clinical expertise, and consideration of the Canadian healthcare context. These recommendations aim to standardize glioblastoma diagnosis and classification across Canada, provide evidence-based guidance for optimal treatment selection, integrate novel therapies, and enhance the overall quality of care for glioblastoma patients.
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Affiliation(s)
- Warren P. Mason
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5G 2M9, Canada
| | - Rebecca A. Harrison
- Department of Medicine, University of British Columbia, Vancouver, BC V5Z 4E6, Canada
| | - Sarah Lapointe
- Department of Medicine, Centre Hospitalier Universitaire de Montreal, Montreal, QC H2X 3J4, Canada
- Faculty of Neuroscience, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Mary Jane Lim-Fat
- Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Mary V. MacNeil
- Department of Medicine, Dalhousie University, QE II Health Science Centre, Halifax, NS B3H 2Y9, Canada
- Department of Medicine, Nova Scotia Cancer Care, Halifax, NS B3H 1V8, Canada
| | - David Mathieu
- Department of Surgery, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - James R. Perry
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A4, Canada
| | - Marshall W. Pitz
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB R3E 0V9, Canada
- Medical Oncology and Hematology, CancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada
| | - David Roberge
- Division of Radiation Oncology, Centre Hospitalier Universitaire de Montreal, Montreal, QC H2X 0C1, Canada
- Department of Radiology, Radiation-Oncology and Nuclear Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Derek S. Tsang
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Christina Tsien
- Department of Radiation Oncology, McGill University, Montreal, QC H4A 3J1, Canada
| | - Frank K. H. van Landeghem
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada
| | - Gelareh Zadeh
- Department of Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada
- Krembil Brain Institute, University Health Network, Toronto, ON M5T 1M8, Canada
| | - Jacob Easaw
- Department of Oncology, University of Alberta, Edmonton, AB T6G 1Z2, Canada
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Nowacka A, Ziółkowska E, Smuczyński W, Bożiłow D, Śniegocki M. Potential of Curcumin and Its Analogs in Glioblastoma Therapy. Antioxidants (Basel) 2025; 14:351. [PMID: 40227413 PMCID: PMC11939735 DOI: 10.3390/antiox14030351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Revised: 03/12/2025] [Accepted: 03/14/2025] [Indexed: 04/15/2025] Open
Abstract
Curcumin, a polyphenol found in turmeric, demonstrates multifaceted anti-cancer activity against glioblastoma. Its therapeutic potential stems from its ability to modulate various molecular pathways implicated in glioblastoma development and progression, enhance the effectiveness of radiation therapy, and induce cancer cell death through diverse mechanisms, including apoptosis, autophagy, and cell cycle arrest. These combined actions make curcumin a promising candidate for glioblastoma treatment, warranting further investigation into its clinical application. In this review, we summarize the latest research on curcumin and its analogs' potential in glioblastoma therapy.
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Affiliation(s)
- Agnieszka Nowacka
- Department of Neurosurgery, Collegium Medicum in Bydgoszcz, Nicolas Copernicus University in Toruń, ul. Curie Skłodowskiej 9, 85-094 Bydgoszcz, Poland
| | - Ewa Ziółkowska
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Wojciech Smuczyński
- Department of Physiotherapy, Collegium Medicum in Bydgoszcz, Nicolas Copernicus University in Toruń, ul. Techników 3, 85-801 Bydgoszcz, Poland
| | - Dominika Bożiłow
- Anaesthesiology and Intensive Care Clinical Ward, The 10th Military Research Hospital and Polyclinic, ul. Powstańców Warszawy 5, 85-681 Bydgoszcz, Poland
| | - Maciej Śniegocki
- Department of Neurosurgery, Collegium Medicum in Bydgoszcz, Nicolas Copernicus University in Toruń, ul. Curie Skłodowskiej 9, 85-094 Bydgoszcz, Poland
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Goran A, Lasocki A, Dimou J. Standardisation of the radiological definition of supramaximal resection in glioblastoma. J Clin Neurosci 2025; 133:111037. [PMID: 39793313 DOI: 10.1016/j.jocn.2025.111037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 01/02/2025] [Accepted: 01/04/2025] [Indexed: 01/13/2025]
Abstract
Glioblastoma remains the most common and lethal primary malignant brain tumour, with high rates of recurrence and progression despite gross-total resection of the contrast-enhancing region based on T1-weighted MRI. There has been growing interest in exploring "supramaximal" resections that extend beyond contrast-enhancing borders, with initial retrospective data suggesting survival benefit, but there is currently no consensus definition. In this systematic review, we explore the evolution of supramaximal resection in glioblastoma, dissect the incongruencies in the literature regarding its definition, qualitatively appraise each definition and discuss the results of various studies that have explored its impacts on patient outcomes. MEDLINE, EMBASE, SCOPUS, Cochrane Registry of Clinical Trials and Pub-MED were systematically searched for studies of glioblastoma patients who had undergone supramaximal resection. After screening and applying eligibility criteria, 25 studies were included in the final review. Definitions were grouped according to radiological modality and visualisation adjuncts and included various extents of resection of hyperintensity visualised using T2-Fluid-Attenuated Inversion Recovery, various volumetric resections of the non-contrast enhancing region, removal of methionine-uptake areas on PET, complete removal of 5-aminolevulinic acid fluorescent tissue and lobectomies. Our systematic review identified a general trend suggesting a survival benefit from supramaximal resection compared to gross-total resection but, more importantly, demonstrated the limitations of these studies due to selection bias and substantial methodological heterogeneity. Ultimately, our findings demonstrate the need for an applicable, standardised and specific definition for supramaximal resection so that prospective studies can determine prognostically significant clinical data to guide the surgical management of glioblastoma.
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Affiliation(s)
- Aland Goran
- Department of Medicine, The University of Melbourne, Victoria, Australia
| | - Arian Lasocki
- Department of Cancer Imaging, Peter MacCallum Cancer Centre, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia; Department of Radiology, The University of Melbourne, Victoria, Australia
| | - James Dimou
- Department of Neurosurgery, The Royal Melbourne Hospital, Victoria, Australia; Department of Surgery, The University of Melbourne, Victoria, Australia.
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Papacocea SI, Vrinceanu D, Dumitru M, Manole F, Serboiu C, Papacocea MT. Molecular Profile as an Outcome Predictor in Glioblastoma along with MRI Features and Surgical Resection: A Scoping Review. Int J Mol Sci 2024; 25:9714. [PMID: 39273661 PMCID: PMC11395592 DOI: 10.3390/ijms25179714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/06/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive malignant tumors of the brain. We queried PubMed for articles about molecular predictor markers in GBM. This scoping review aims to analyze the most important outcome predictors in patients with GBM and to compare these factors in terms of absolute months of survival benefit and percentages. Performing a gross total resection for patients with GBM undergoing optimal chemo- and radiotherapy provides a significant benefit in overall survival compared to those patients who received a subtotal or partial resection. However, compared to IDH-Wildtype GBMs, patients with IDH-Mutant 1/2 GBMs have an increased survival. MGMT promoter methylation status is another strong outcome predictor for patients with GBM. In the reviewed literature, patients with methylated MGMT promoter lived approximately 50% to 90% longer than those with an unmethylated MGMT gene promoter. Moreover, KPS is an important predictor of survival and quality of life, demonstrating that we should refrain from aggressive surgery in important brain areas. As new therapies (such as TTFs) emerge, we are optimistic that the overall median survival will increase, even for IDH-Wildtype GBMs. In conclusion, molecular profiles are stronger outcome predictors than the extent of neurosurgical resection for GBM.
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Affiliation(s)
- Serban Iancu Papacocea
- Neurosurgery Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (S.I.P.); (M.T.P.)
| | - Daniela Vrinceanu
- ENT Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania;
| | - Mihai Dumitru
- ENT Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania;
| | - Felicia Manole
- ENT Department, Faculty of Medicine, University of Oradea, 410073 Oradea, Romania;
| | - Crenguta Serboiu
- Cellular Biology and Histology Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania;
| | - Marius Toma Papacocea
- Neurosurgery Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (S.I.P.); (M.T.P.)
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Ottaviani MM, Fasinella MR, Di Rienzo A, Gladi M, di Somma LGM, Iacoangeli M, Dobran M. Analysis of prognostic factors and the role of epilepsy in neurosurgical patients with brain metastases. Surg Neurol Int 2024; 15:79. [PMID: 38628515 PMCID: PMC11021078 DOI: 10.25259/sni_735_2023] [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: 09/03/2023] [Accepted: 02/01/2024] [Indexed: 04/19/2024] Open
Abstract
Background Brain metastases (BMs) represent the most frequent brain tumors in adults. The identification of key prognostic factors is essential for choosing the therapeutic strategy tailored to each patient. Epilepsy can precede several months of other clinical presentations of BMs. This work aimed to study the impact of epilepsy and other prognostic factors on BMs patients' survival. Methods This retrospective study included 51 patients diagnosed with BMs and who underwent neurosurgery between 2010 and 2021. The impact of BM features and patient's clinical characteristics on the overall survival (OS) was analyzed through uni- and multivariate analysis. Results The average OS was 25.98 months and differed according to the histology of the primary tumor. The primary tumor localization and the presence of extracranial metastases had a statistically significant impact on the OS, and patients with single BM showed a superior OS to those with multifocal lesions. The localization of BMs in the temporal lobe correlated with the highest OS. The OS was significantly higher in patients who presented seizures in their clinical onset and in those who had better post-surgical Karnofsky performance status, no post-surgical complications, and who underwent post-surgical treatment. Conclusion Our study has highlighted prognostically favorable patient and tumor factors. Among those, a clinical onset with epileptic seizures can help identify brain metastasis hitherto silent. This could lead to immediate diagnostic-therapeutic interventions with more aggressive therapies after appropriate multidisciplinary evaluation.
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Aiudi D, Iacoangeli A, Dobran M, Polonara G, Chiapponi M, Mattioli A, Gladi M, Iacoangeli M. The Prognostic Role of Volumetric MRI Evaluation in the Surgical Treatment of Glioblastoma. J Clin Med 2024; 13:849. [PMID: 38337543 PMCID: PMC10856584 DOI: 10.3390/jcm13030849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/26/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Background: Glioblastoma is the most common primary brain neoplasm in adults, with a poor prognosis despite a constant effort to improve patient survival. Some neuroradiological volumetric parameters seem to play a predictive role in overall survival (OS) and progression-free survival (PFS). The aim of this study was to analyze the impact of the volumetric areas of contrast-enhancing tumors and perineoplastic edema on the survival of patients treated for glioblastoma. Methods: A series of 87 patients who underwent surgery was retrospectively analyzed; OS and PFS were considered the end points of the study. For each patient, a multidisciplinary revision was conducted in collaboration with the Neuroradiology and Neuro-Oncology Board. Manual and semiautomatic measurements were adopted to perform the radiological evaluation, and the following quantitative parameters were retrospectively analyzed: contrast enhancement preoperative tumor volume (CE-PTV), contrast enhancement postoperative tumor volume (CE-RTV), edema/infiltration preoperative volume (T2/FLAIR-PV), edema/infiltration postoperative volume (T2/FLAIR-RV), necrosis volume inside the tumor (NV), and total tumor volume including necrosis (TV). Results: The median OS value was 9 months, and the median PFS value was 4 months; the mean values were 12.3 and 6.9 months, respectively. Multivariate analysis showed that the OS-related factors were adjuvant chemoradiotherapy (p < 0.0001), CE-PTV < 15 cm3 (p = 0.03), surgical resection > 95% (p = 0.004), and the presence of a "pseudocapsulated" radiological morphology (p = 0.04). Conclusions: Maximal safe resection is one of the most relevant predictive factors for patient survival. Semiautomatic preoperative MRI evaluation could play a key role in prognostically categorizing these tumors.
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Affiliation(s)
- Denis Aiudi
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Alessio Iacoangeli
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Mauro Dobran
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Gabriele Polonara
- Department of Neuroradiology, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy;
| | - Mario Chiapponi
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Andrea Mattioli
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Maurizio Gladi
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
| | - Maurizio Iacoangeli
- Department of Neurosurgery, Università Politecnica delle Marche, Azienda Ospedaliero Universitaria delle Marche, 60121 Ancona, Italy; (A.I.); (M.D.); (M.C.); (A.M.); (M.G.); (M.I.)
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