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Kapteijn MY, Bakker N, Koekkoek JAF, Versteeg HH, Buijs JT. Venous Thromboembolism in Patients with Glioblastoma: Molecular Mechanisms and Clinical Implications. Thromb Haemost 2024. [PMID: 39168144 DOI: 10.1055/s-0044-1789592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
Patients with glioblastoma are among the cancer patients with the highest risk of developing venous thromboembolism (VTE). Long-term thromboprophylaxis is not generally prescribed because of the increased susceptibility of glioblastoma patients to intracranial hemorrhage. This review provides an overview of the current clinical standard for glioblastoma patients, as well as the molecular and genetic background which underlies the high incidence of VTE. The two main procoagulant proteins involved in glioblastoma-related VTE, podoplanin and tissue factor, are described, in addition to the genetic aberrations that can be linked to a hypercoagulable state in glioblastoma. Furthermore, possible novel biomarkers and future treatment strategies are discussed, along with the potential of sequencing approaches toward personalized risk prediction for VTE. A glioblastoma-specific VTE risk stratification model may help identifying those patients in which the increased risk of bleeding due to extended anticoagulation is outweighed by the decreased risk of VTE.
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Affiliation(s)
- Maaike Y Kapteijn
- Division of Thrombosis and Hemostasis, Department of Medicine, Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Nina Bakker
- Division of Thrombosis and Hemostasis, Department of Medicine, Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Johan A F Koekkoek
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henri H Versteeg
- Division of Thrombosis and Hemostasis, Department of Medicine, Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen T Buijs
- Division of Thrombosis and Hemostasis, Department of Medicine, Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
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2
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Vanhauwaert D, Silversmit G, Vanschoenbeek K, Coucke G, Di Perri D, Clement PM, Sciot R, De Vleeschouwer S, Boterberg T, De Gendt C. Association of hospital volume with survival but not with postoperative mortality in glioblastoma patients in Belgium. J Neurooncol 2024:10.1007/s11060-024-04776-2. [PMID: 39093532 DOI: 10.1007/s11060-024-04776-2] [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: 06/15/2024] [Accepted: 07/09/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVES Standard of care treatment for glioblastoma (GBM) involves surgical resection followed by chemoradiotherapy. However, variations in treatment decisions and outcomes exist across hospitals and physicians. In Belgium, where oncological care is dispersed, the impact of hospital volume on GBM outcomes remains unexplored. This nationwide study aims to analyse interhospital variability in 30-day postoperative mortality and 1-/2-year survival for GBM patients. METHODS Data collected from the Belgian Cancer Registry, identified GBM patients diagnosed between 2016 and 2019. Surgical resection and biopsy cases were identified, and hospital case load was determined. Associations between hospital volume and mortality and survival probabilities were analysed, considering patient characteristics. Statistical analysis included logistic regression for mortality and Cox proportional hazard models for survival. RESULTS A total of 2269 GBM patients were identified (1665 underwent resection, 662 underwent only biopsy). Thirty-day mortality rates post-resection/post-biopsy were 5.1%/11.9% (target < 3%/<5%). Rates were higher in elderly patients and those with worse WHO-performance scores. No significant difference was found based on hospital case load. Survival probabilities at 1/2 years were 48.6% and 21.3% post-resection; 22.4% and 8.3% post-biopsy. Hazard ratio for all-cause death for low vs. high volume centres was 1.618 in first 0.7 year post-resection (p < 0.0001) and 1.411 in first 0.8 year post-biopsy (p = 0.0046). CONCLUSION While 30-day postoperative mortality rates were above predefined targets, no association between hospital volume and mortality was found. However, survival probabilities demonstrated benefits from treatment in higher volume centres, particularly in the initial months post-surgery. These variations highlight the need for continuous improvement in neuro-oncological practice and should stimulate reflection on the neuro-oncological care organisation in Belgium.
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Affiliation(s)
- Dimitri Vanhauwaert
- Department of Neurosurgery, AZ Delta hospital Roeselare, Roeselare, Belgium.
| | | | | | | | - Dario Di Perri
- Department of Radiation Oncology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Paul M Clement
- Department of Medical Oncology, UZ Leuven, Leuven, Belgium
- Department of Oncology and Leuven Cancer Institute, KU Leuven, Leuven, Belgium
| | - Raf Sciot
- Department of Pathology, UZ Leuven and KU Leuven, Leuven, Belgium
| | - Steven De Vleeschouwer
- Department of Neurosurgery, UZ Leuven, Leuven, Belgium
- Department of Neurosciences and Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Tom Boterberg
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
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Yu D, Wang S, Wang J, Zhang K, Niu Z, Lin N. EZH2-STAT3 signaling pathway regulates GSDMD-mediated pyroptosis in glioblastoma. Cell Death Discov 2024; 10:341. [PMID: 39069522 DOI: 10.1038/s41420-024-02105-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/10/2024] [Accepted: 07/16/2024] [Indexed: 07/30/2024] Open
Abstract
Glioblastoma multiforme (GBM) is the most therapeutically challenging primary brain tumor owing to the unique physiological structure of the blood-brain barrier. Lately, research on targeted therapy for gliomas has shifted focus toward the tumor microenvironment and local immune responses. Pyroptosis is a newly identified cellular demise characterized by the release of numerous inflammatory factors. While pyroptosis shows promise in impeding the occurrence and progression of GBM, the regulatory mechanisms governing this process in gliomas still require further investigation. The function of the Enhancer of zeste homolog 2 (EZH2) in pyroptosis remains unexplored. In this study, we discovered that 3-Deazaneplanocin A (DZNep), an inhibitor of EZH2, can induce pyroptosis in GBM in vitro experiments. Moreover, our investigation unveiled that the signal transducer and activator of transcription (STAT3) could serve as a downstream regulator influenced by EZH2, impacting pyroptosis in GBM. Following treatment with DZNep and the STAT3 inhibitor (SH-4-54), there was an elevation in the levels of pyroptosis-related factors, namely NOD-like receptor thermal protein domain-associated protein 3 (NLRP3) and Gasdermin D (GSDMD). Moreover, simultaneous inhibition of both EZH2 and STAT3 led to the expression of inflammatory factors such as IL-1β and IL-18. In summary, we have identified that EZH2 regulates pyroptosis in GBM through STAT3, and pyroptosis could potentially be targeted for immunotherapy in GBM.
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Affiliation(s)
- Dong Yu
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Shuai Wang
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Jiajun Wang
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Kang Zhang
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Zihui Niu
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Ning Lin
- Department of Neurosurgery, The affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China.
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Huang W, Lei Y, Cao X, Xu G, Wang X. Development and validation of a nomogram to predict overall survival in patients with glioma: a population-based study. Aging (Albany NY) 2024; 16:10905-10917. [PMID: 38970773 PMCID: PMC11272113 DOI: 10.18632/aging.205967] [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: 12/08/2023] [Accepted: 05/29/2024] [Indexed: 07/08/2024]
Abstract
AIM The objective is to investigate the prognostic factors associated with gliomas and to develop and assess a predictive nomogram model connected to survival that may serve as an additional resource for the clinical management of glioma patients. METHOD From 2010 to 2015, participants included in the study were chosen from the Surveillance Epidemiology and End Results (SEER) database. Gliomas were definitively diagnosed in each of them. They were divided into the training group and the validation cohort at random (7/3 ratio) using a random number table. To identify the independent predictive markers for overall survival (OS), Cox regression analysis was utilized. Subsequently, the training cohort's survival-related nomogram predictive model for OS was created by incorporating the fundamental patient attributes. Following that, the training cohort's model underwent internal validation. The nomogram model's authenticity and reliability were assessed through the computation of receiver operating characteristic (ROC) curves and concordance index (C-index). To evaluate the degree of agreement between the observed and predicted values in the training and validation cohorts, calibration plots were created. RESULT Age, primary site, histological type, surgery, chemotherapy, marital status, and grade were the independent predictive factors for OS in the training cohort, according to Cox regression analysis. Moreover, the nomogram model for predicting 1-year, 3-year, and 5-year OS was built using these variables. The C-indexes of OS for glioma patients in the training cohort and internal validation cohort were found to be 0.779 (95% CI=0.769-0.789) and 0.776 (95% CI=0.760-0.792), respectively, according to the results. The ROC curves also demonstrated good discrimination. Additionally, calibration plots demonstrated a fair amount of agreement. CONCLUSIONS In summary, the nomogram prediction model of OS demonstrated a moderate level of reliability in its predictive performance, offering valuable reference data to enable doctors to quickly and easily determine the survival likelihood of patients with gliomas.
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Affiliation(s)
- Wei Huang
- Department of Internal Medicine, Shenzhen Longhua District Maternity and Child Healthcare Hospital, Shenzhen 518109, China
| | - Yuhe Lei
- Department of Pharmacy, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518034, China
| | - Xiongbin Cao
- Department of Neurology, Shenzhen Longhua District Central Hospital, Shenzhen 518110, China
| | - Gengrui Xu
- Department of Pharmacy, Shenzhen Longhua District Central Hospital, Shenzhen 518110, China
| | - Xiaokang Wang
- Department of Pharmacy, Shenzhen Longhua District Central Hospital, Shenzhen 518110, China
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5
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Westerhoff JM, Daamen LA, Christodouleas JP, Blezer ELA, Choudhury A, Westley RL, Erickson BA, Fuller CD, Hafeez S, van der Heide UA, Intven MPW, Kirby AM, Lalondrelle S, Minsky BD, Mook S, Nowee ME, Marijnen CAM, Orrling KM, Sahgal A, Schultz CJ, Faivre-Finn C, Tersteeg RJHA, Tree AC, Tseng CL, Schytte T, Silk DM, Eggert D, Luzzara M, van der Voort van Zyp JRN, Verkooijen HM, Hall WA. Safety and Tolerability of Online Adaptive High-Field Magnetic Resonance-Guided Radiotherapy. JAMA Netw Open 2024; 7:e2410819. [PMID: 38691356 PMCID: PMC11063805 DOI: 10.1001/jamanetworkopen.2024.10819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/06/2024] [Indexed: 05/03/2024] Open
Abstract
Importance In 2018, the first online adaptive magnetic resonance (MR)-guided radiotherapy (MRgRT) system using a 1.5-T MR-equipped linear accelerator (1.5-T MR-Linac) was clinically introduced. This system enables online adaptive radiotherapy, in which the radiation plan is adapted to size and shape changes of targets at each treatment session based on daily MR-visualized anatomy. Objective To evaluate safety, tolerability, and technical feasibility of treatment with a 1.5-T MR-Linac, specifically focusing on the subset of patients treated with an online adaptive strategy (ie, the adapt-to-shape [ATS] approach). Design, Setting, and Participants This cohort study included adults with solid tumors treated with a 1.5-T MR-Linac enrolled in Multi Outcome Evaluation for Radiation Therapy Using the MR-Linac (MOMENTUM), a large prospective international study of MRgRT between February 2019 and October 2021. Included were adults with solid tumors treated with a 1.5-T MR-Linac. Data were collected in Canada, Denmark, The Netherlands, United Kingdom, and the US. Data were analyzed in August 2023. Exposure All patients underwent MRgRT using a 1.5-T MR-Linac. Radiation prescriptions were consistent with institutional standards of care. Main Outcomes and Measures Patterns of care, tolerability, and technical feasibility (ie, treatment completed as planned). Acute high-grade radiotherapy-related toxic effects (ie, grade 3 or higher toxic effects according to Common Terminology Criteria for Adverse Events version 5.0) occurring within the first 3 months after treatment delivery. Results In total, 1793 treatment courses (1772 patients) were included (median patient age, 69 years [range, 22-91 years]; 1384 male [77.2%]). Among 41 different treatment sites, common sites were prostate (745 [41.6%]), metastatic lymph nodes (233 [13.0%]), and brain (189 [10.5%]). ATS was used in 1050 courses (58.6%). MRgRT was completed as planned in 1720 treatment courses (95.9%). Patient withdrawal caused 5 patients (0.3%) to discontinue treatment. The incidence of radiotherapy-related grade 3 toxic effects was 1.4% (95% CI, 0.9%-2.0%) in the entire cohort and 0.4% (95% CI, 0.1%-1.0%) in the subset of patients treated with ATS. There were no radiotherapy-related grade 4 or 5 toxic effects. Conclusions and Relevance In this cohort study of patients treated on a 1.5-T MR-Linac, radiotherapy was safe and well tolerated. Online adaptation of the radiation plan at each treatment session to account for anatomic variations was associated with a low risk of acute grade 3 toxic effects.
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Affiliation(s)
- Jasmijn M. Westerhoff
- University Medical Center Utrecht, Division of Imaging and Oncology, Utrecht, the Netherlands
| | - Lois A. Daamen
- University Medical Center Utrecht, Division of Imaging and Oncology, Utrecht, the Netherlands
| | - John P. Christodouleas
- Elekta AB, Stockholm, Sweden
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia
| | - Erwin L. A. Blezer
- University Medical Center Utrecht, Division of Imaging and Oncology, Utrecht, the Netherlands
| | - Ananya Choudhury
- Department of Clinical Oncology, The University of Manchester, Manchester, United Kingdom
| | - Rosalyne L. Westley
- The Royal Marsden NHS Foundation Trust, Radiation Oncology, London, United Kingdom
| | - Beth A. Erickson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee
| | - Clifton D. Fuller
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston
| | - Shaista Hafeez
- The Royal Marsden NHS Foundation Trust, Radiation Oncology, London, United Kingdom
- The Institute of Cancer Research, London, United Kingdom
| | - Uulke A. van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Martijn P. W. Intven
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Anna M. Kirby
- The Royal Marsden NHS Foundation Trust, Radiation Oncology, London, United Kingdom
- The Institute of Cancer Research, London, United Kingdom
| | - Susan Lalondrelle
- The Royal Marsden NHS Foundation Trust, Radiation Oncology, London, United Kingdom
- The Institute of Cancer Research, London, United Kingdom
| | - Bruce D. Minsky
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston
| | - Stella Mook
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Marlies E. Nowee
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Corrie A. M. Marijnen
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | - Arjun Sahgal
- Sunnybrook Health Sciences Centre-Odette Cancer Centre, Department of Radiation Oncology, Toronto, Ontario, Canada
| | | | - Corinne Faivre-Finn
- Department of Clinical Oncology, The University of Manchester, Manchester, United Kingdom
- The Christie National Health Service Foundation Trust, Manchester, United Kingdom
| | | | - Alison C. Tree
- The Royal Marsden NHS Foundation Trust, Radiation Oncology, London, United Kingdom
- The Institute of Cancer Research, London, United Kingdom
| | - Chia-Lin Tseng
- Sunnybrook Health Sciences Centre-Odette Cancer Centre, Department of Radiation Oncology, Toronto, Ontario, Canada
| | - Tine Schytte
- Department of Oncology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Dustin M. Silk
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston
| | | | | | | | - Helena M. Verkooijen
- University Medical Center Utrecht, Division of Imaging and Oncology, Utrecht, the Netherlands
| | - William A. Hall
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee
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6
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Miele E, Anghileri E, Calatozzolo C, Lazzarini E, Patrizi S, Ciolfi A, Pedace L, Patanè M, Abballe L, Paterra R, Maddaloni L, Barresi S, Mastronuzzi A, Petruzzi A, Tramacere I, Farinotti M, Gurrieri L, Pirola E, Scarpelli M, Lombardi G, Villani V, Simonelli M, Merli R, Salmaggi A, Tartaglia M, Silvani A, DiMeco F, Calistri D, Lamperti E, Locatelli F, Indraccolo S, Pollo B. Clinicopathological and molecular landscape of 5-year IDH-wild-type glioblastoma survivors: A multicentric retrospective study. Cancer Lett 2024; 588:216711. [PMID: 38423245 DOI: 10.1016/j.canlet.2024.216711] [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: 10/24/2023] [Revised: 01/19/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024]
Abstract
Five-year glioblastoma (GBM) survivors (LTS) are the minority of the isocitrate dehydrogenase (IDH)-wild-type GBM patients, and their molecular fingerprint is still largely unexplored. This multicenter retrospective study analyzed a large LTS-GBM cohort from nine Italian institutions and molecularly characterized a subgroup of patients by mutation, DNA methylation (DNAm) and copy number variation (CNV) profiling, comparing it to standard survival GBM. Mutation scan allowed the identification of pathogenic variants in most cases, showing a similar mutational spectrum in both groups, and highlighted TP53 as the most commonly mutated gene in the LTS group. We confirmed DNAm as a valuable tool for GBM classification with a diagnostic refinement by using brain tumor classifier v12.5. LTS were more heterogeneous with more cases classified as diffuse pediatric high-grade glioma subtypes and having peculiar CNVs. We observed a global higher methylation in CpG islands and in gene promoters of LTS with methylation levels of distinct gene promoters correlating with prognosis.
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Affiliation(s)
- Evelina Miele
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Elena Anghileri
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy.
| | - Chiara Calatozzolo
- Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Elisabetta Lazzarini
- Basic and Translational Oncology Unit, Istituto Oncologico Veneto (IOV)-IRCCS, Padua, Italy
| | - Sara Patrizi
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea Ciolfi
- Molecular Genetics and Functional Genomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Lucia Pedace
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Monica Patanè
- Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Luana Abballe
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Rosina Paterra
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy
| | - Luisa Maddaloni
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy
| | - Sabina Barresi
- Pathology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Angela Mastronuzzi
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Alessandra Petruzzi
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy
| | - Irene Tramacere
- Department of Research and Clinical Development, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Mariangela Farinotti
- Neuroepidemiology-Brain Cancer Registry, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Lorena Gurrieri
- Osteoncology and Rare Tumors Center, IRCCS Istituto Romagnolo Per Lo Studio Dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | - Elena Pirola
- Department of Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Mauro Scarpelli
- Neurology Unit, Azienda Ospedaliera Universitaria Integrata Verona, Italy
| | - Giuseppe Lombardi
- Medical Oncology Unit 1, Istituto Oncologico Veneto IOV-IRCCS, Padua, Italy
| | - Veronica Villani
- Neuro-Oncology Unit, IRCCS Istituto Nazionale Tumori Regina Elena, Rome, Italy
| | - Matteo Simonelli
- Department of Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Rossella Merli
- Neurosurgery Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | | | - Marco Tartaglia
- Molecular Genetics and Functional Genomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonio Silvani
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurological Surgery, John Hopkins Medical School, Baltimore, MD, USA
| | - Daniele Calistri
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy
| | - Elena Lamperti
- Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB), Milan, Italy
| | - Franco Locatelli
- Department of Onco-Hematology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy
| | - Stefano Indraccolo
- Basic and Translational Oncology Unit, Istituto Oncologico Veneto (IOV)-IRCCS, Padua, Italy; Department of Surgery Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Bianca Pollo
- Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
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7
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Zhou QQ, Guo J, Wang Z, Li J, Chen M, Xu Q, Zhu L, Xu Q, Wang Q, Pan H, Pan J, Zhu Y, Song M, Liu X, Wang J, Zhang Z, Zhang L, Wang Y, Cai H, Chen X, Lu G. Rapid visualization of PD-L1 expression level in glioblastoma immune microenvironment via machine learning cascade-based Raman histopathology. J Adv Res 2023:S2090-1232(23)00377-6. [PMID: 38072311 DOI: 10.1016/j.jare.2023.12.002] [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: 08/04/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 02/13/2024] Open
Abstract
INTRODUCTION Combination immunotherapy holds promise for improving survival in responsive glioblastoma (GBM) patients. Programmed death-ligand 1 (PD-L1) expression in immune microenvironment (IME) is the most important predictive biomarker for immunotherapy. Due to the heterogeneous distribution of PD-L1, post-operative histopathology fails to accurately capture its expression in residual tumors, making intra-operative diagnosis crucial for GBM treatment strategies. However, the current methods for evaluating the expression of PD-L1 are still time-consuming. OBJECTIVE To overcome the PD-L1 heterogeneity and enable rapid, accurate, and label-free imaging of PD-L1 expression level in GBM IME at the tissue level. METHODS We proposed a novel intra-operative diagnostic method, Machine Learning Cascade (MLC)-based Raman histopathology, which uses a coordinate localization system (CLS), hierarchical clustering analysis (HCA), support vector machine (SVM), and similarity analysis (SA). This method enables visualization of PD-L1 expression in glioma cells, CD8+ T cells, macrophages, and normal cells in addition to the tumor/normal boundary. The study quantified PD-L1 expression levels using the tumor proportion, combined positive, and cellular composition scores (TPS, CPS, and CCS, respectively) based on Raman data. Furthermore, the association between Raman spectral features and biomolecules was examined biochemically. RESULTS The entire process from signal collection to visualization could be completed within 30 min. In an orthotopic glioma mouse model, the MLC-based Raman histopathology demonstrated a high average accuracy (0.990) for identifying different cells and exhibited strong concordance with multiplex immunofluorescence (84.31 %) and traditional pathologists' scoring (R2 ≥ 0.9). Moreover, the peak intensities at 837 and 874 cm-1 showed a positive linear correlation with PD-L1 expression level. CONCLUSIONS This study introduced a new and extendable diagnostic method to achieve rapid and accurate visualization of PD-L1 expression in GBM IMB at the tissular level, leading to great potential in GBM intraoperative diagnosis for guiding surgery and post-operative immunotherapy.
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Affiliation(s)
- Qing-Qing Zhou
- Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing, China; Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Jingxing Guo
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, China.
| | - Ziyang Wang
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China; Nanjing Nuoyuan Medical Devices Co. Ltd, Nanjing, China
| | - Jianrui Li
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Meng Chen
- Nanjing Nuoyuan Medical Devices Co. Ltd, Nanjing, China
| | - Qiang Xu
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Lijun Zhu
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qing Xu
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qiang Wang
- Department of Neurosurgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Hao Pan
- Department of Neurosurgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jing Pan
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yong Zhu
- School of Science, China Pharmaceutical University, Nanjing, China
| | - Ming Song
- Department of Mathmatical Sciences, The University of Texas at Dallas, Richardson, USA
| | - Xiaoxue Liu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jiandong Wang
- Department of Pathology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhiqiang Zhang
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Longjiang Zhang
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yiqing Wang
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
| | - Huiming Cai
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China; Nanjing Nuoyuan Medical Devices Co. Ltd, Nanjing, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore; Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Guangming Lu
- Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing, China; Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
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Mendoza Mireles EE, Skaga E, Server A, Leske H, Brandal P, Helseth E, Rønning PA, Vik-Mo EO. The benefit of complete resection of contrast enhancing tumor in glioblastoma patients: A population-based study. Neurooncol Pract 2023; 10:555-564. [PMID: 38026582 PMCID: PMC10666813 DOI: 10.1093/nop/npad037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Background New treatment modalities have not been widely adopted for patients with glioblastoma (GBM) after the addition of temozolomide to radiotherapy. We hypothesize that increased extent of resection (EOR) has resulted in improved survival for surgically treated patients with glioblastoma at the population level. Methods Retrospective analysis of adult patients operated for glioblastoma in the population of South-Eastern Norway. Patients were stratified into Pre-temozolomide- (2003-2005), temozolomide- (2006-2012), and resection-focused period (2013-2019) and evaluated according to age and EOR. Results The study included 1657 adult patients operated on for supratentorial glioblastoma. The incidence of histologically confirmed glioblastoma increased from 3.7 in 2003 to 5.3 per 100 000 in 2019. The median survival was 11.4 months. Complete resection of contrast-enhancing tumor (CRCET) was achieved in 386 patients, and this fraction increased from 13% to 32% across the periods. Significant improvement in median survival was found between the first 2 periods and the last (10.5 and 10.6 vs. 12.3 months; P < .01), with a significant increase in 3- and 5-year survival probability to 12% and 6% (P < .01). Patients with CRCET survived longer than patients with non-CRCET (16.1 vs. 10.8 months; P < .001). The median survival doubled in patients ≥70 years and (12.1 months). Survival was similar between the time periods in patients where CRCET was achieved. Conclusions We demonstrate an improved survival of GBM patients at the population level associated with an increased fraction of patients with CRCET. The data support the importance of CRCET to improve glioblastoma patient outcomes.
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Affiliation(s)
- Eduardo Erasmo Mendoza Mireles
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Oslo University Hospital, Oslo, Norway
| | - Erlend Skaga
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Oslo University Hospital, Oslo, Norway
| | - Andres Server
- Department of Radiology, Oslo University Hospital, Oslo, Norway
| | - Henning Leske
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Petter Brandal
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Eirik Helseth
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pål A Rønning
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Einar O Vik-Mo
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Vilhelm Magnus Laboratory, Institute for Surgical Research, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Lin YC, Chang PC, Hueng DY, Huang SM, Li YF. Decoding the prognostic significance of integrator complex subunit 9 (INTS9) in glioma: links to TP53 mutations, E2F signaling, and inflammatory microenvironments. Cancer Cell Int 2023; 23:154. [PMID: 37537630 PMCID: PMC10401760 DOI: 10.1186/s12935-023-03006-5] [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: 04/24/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
INTRODUCTION Gliomas, a type of brain neoplasm, are prevalent and often fatal. Molecular diagnostics have improved understanding, but treatment options are limited. This study investigates the role of INTS9 in processing small nuclear RNA (snRNA), which is crucial to generating mature messenger RNA (mRNA). We aim to employ advanced bioinformatics analyses with large-scale databases and conduct functional experiments to elucidate its potential role in glioma therapeutics. MATERIALS AND METHODS We collected genomic, proteomic, and Whole-Exon-Sequencing data from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) for bioinformatic analyses. Then, we validated INTS9 protein expression through immunohistochemistry and assessed its correlation with P53 and KI67 protein expression. Gene Set Enrichment Analysis (GSEA) was performed to identify altered signaling pathways, and functional experiments were conducted on three cell lines treated with siINTS9. Then, we also investigate the impacts of tumor heterogeneity on INTS9 expression by integrating single-cell sequencing, 12-cell state prediction, and CIBERSORT analyses. Finally, we also observed longitudinal changes in INTS9 using the Glioma Longitudinal Analysis (GLASS) dataset. RESULTS Our findings showed increased INTS9 levels in tumor tissue compared to non-neoplastic components, correlating with high tumor grading and proliferation index. TP53 mutation was the most notable factor associated with upregulated INTS9, along with other potential contributors, such as combined chromosome 7 gain/10 loss, TERT promoter mutation, and increased Tumor Mutational Burden (TMB). In GSEA analyses, we also linked INTS9 with enhanced cell proliferation and inflammation signaling. Downregulating INTS9 impacted cellular proliferation and cell cycle regulation during the function validation. In the context of the 12 cell states, INTS9 correlated with tumor-stem and tumor-proliferative-stem cells. CIBERSORT analyses revealed increased INTS9 associated with increased macrophage M0 and M2 but depletion of monocytes. Longitudinally, we also noticed that the INTS9 expression declined during recurrence in IDH wildtype. CONCLUSION This study assessed the role of INTS9 protein in glioma development and its potential as a therapeutic target. Results indicated elevated INTS9 levels were linked to increased proliferation capacity, higher tumor grading, and poorer prognosis, potentially resulting from TP53 mutations. This research highlights the potential of INTS9 as a promising target for glioma treatment.
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Affiliation(s)
- Yu-Chieh Lin
- Department of Pathology and Laboratory Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, 325, Taiwan, Republic of China
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
| | - Pei-Chi Chang
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
| | - Dueng-Yuan Hueng
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
- Department of Neurologic Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
| | - Shih-Ming Huang
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
- Department of Biochemistry, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China
| | - Yao-Feng Li
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China.
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China.
- Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipe, 114, Taiwan, Republic of China.
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Chang PC, Lin YC, Yen HJ, Hueng DY, Huang SM, Li YF. Ancient ubiquitous protein 1 (AUP1) is a prognostic biomarker connected with TP53 mutation and the inflamed microenvironments in glioma. Cancer Cell Int 2023; 23:62. [PMID: 37029364 PMCID: PMC10080956 DOI: 10.1186/s12935-023-02912-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 03/28/2023] [Indexed: 04/09/2023] Open
Abstract
INTRODUCTION Glioblastoma (GBM) is the most common and lethal brain tumor. The current treatment is surgical removal combined with radiotherapy and chemotherapy, Temozolomide (TMZ). However, tumors tend to develop TMZ resistance which leads to therapeutic failure. Ancient ubiquitous protein 1 (AUP1) is a protein associated with lipid metabolism, which is widely expressed on the surface of ER and Lipid droplets, involved in the degradation of misfolded proteins through autophagy. It has recently been described as a prognostic marker in renal tumors. Here, we aim to use sophisticated bioinformatics and experimental validation to characterize the AUP1's role in glioma. MATERIAL AND METHODS We collected the mRNA, proteomics, and Whole-Exon-Sequencing from The Cancer Genome Atlas (TCGA) for bioinformatics analyses. The analyses included the expression difference, Kaplan-Meier-survival, COX-survival, and correlation to the clinical factors (tumor mutation burden, microsatellite instability, and driven mutant genes). Next, we validated the AUP1 protein expression using immunohistochemical staining on the 78 clinical cases and correlated them with P53 and KI67. Then, we applied GSEA analyses to identify the altered signalings and set functional experiments (including Western Blot, qPCR, BrdU, migration, cell-cycle, and RNAseq) on cell lines when supplemented with small interfering RNA targeting the AUP1 gene (siAUP1) for further validation. We integrated the single-cell sequencing and CIBERSORT analyses at the Chinese Glioma Genome Atlas (CGGA) and Glioma Longitudinal AnalySiS (GLASS) dataset to rationale the role of AUP1 in glioma. RESULTS Firstly, the AUP1 is a prognostic marker, increased in the tumor component, and correlated with tumor grade in both transcriptomes and protein levels. Secondly, we found higher AUP1 associated with TP53 status, Tumor mutation burden, and increased proliferation. In the function validation, downregulated AUP1 expression merely impacted the U87MG cells' proliferation instead of altering the lipophagy activity. From the single-cell sequencing and CIBERSORT analyses at CGGA and GLASS data, we understood the AUP1 expression was affected by the tumor proliferation, stromal, and inflammation compositions, particularly the myeloid and T cells. In the longitudinal data, the AUP1 significantly dropped in the recurrent IDH wildtype astrocytoma, which might result from increased AUP1-cold components, including oligodendrocytes, endothelial cells, and pericytes. CONCLUSION According to the literature, AUP1 regulates lipophagy by stabilizing the ubiquitination of lipid droplets. However, we found no direct link between AUP1 suppression and altered autophagy activity in the functional validation. Instead, we noticed AUP1 expression associated with tumor proliferation and inflammatory status, contributed by myeloid cells and T cells. In addition, the TP53 mutations seem to play an important role here and initiate inflamed microenvironments. At the same time, EGFR amplification and Chromosome 7 gain combined 10 loss are associated with increased tumor growth related to AUP1 levels. This study taught us that AUP1 is a poorer predictive biomarker associated with tumor proliferation and could report inflamed status, potentially impacting the clinical application.
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Affiliation(s)
- Pei-Chi Chang
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
- Department of Biochemistry, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
| | - Yu-Chieh Lin
- Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
| | - Hui-Ju Yen
- School of Pharmacy & Institute Pharmacy, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
| | - Dueng-Yuan Hueng
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
- Department of Neurologic Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
| | - Shih-Ming Huang
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
- Department of Biochemistry, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China
| | - Yao-Feng Li
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China.
- Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan, Republic of China.
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Olivier T, Migliorini D. Autologous tumor lysate-loaded dendritic cell vaccination in glioblastoma: What happened to the evidence? Rev Neurol (Paris) 2023; 179:502-505. [PMID: 37012085 DOI: 10.1016/j.neurol.2023.03.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
In patients with glioblastoma, the "DCVax-L" trial reported a survival benefit with the addition of autologous tumor lysate-loaded denditric cell vaccination to the standard-of-care (SoC) in patients with glioblastoma. The trial presented as a phase 3 externally controlled trial is showing an improvement in overall survival (OS) in patients receiving the vaccine therapy as compared to externally controlled patients, both in the newly diagnosed setting (median OS = 19.3 months versus 16.5 months; HR = 0.80; 98% CI, 0.00-0.94; P = 0.002) and in the recurrent setting (median OS = 13.2 months versus 7.8 months; HR = 0.58; 98% CI, 0.00-0.76; P < 0.001). Interestingly, the original endpoint, progression-free survival (PFS), was not improved by the experimental therapy. While we praise efforts to improve outcomes in a population representing a true unmet need, the trial's design, methods and report raise several issues undermining the ability to derive meaningful conclusion. These limitations are mainly driven by multiple changes occurring years after the trial ended. External controls were used in a trial originally randomizing patients, the primary endpoint was modified (OS instead of PFS), a new study population (recurrent glioblastoma) was added, and unplanned analyses were conducted, among several other changes. Additionally, due to inclusion criteria, the external controls likely selected patients with less favorable outcome as compared with patients enrolled in the trial, potentially biasing the reported survival benefit. In the absence of data sharing, these shortcomings will not be clarified. Dendritic cell vaccination remains a promising approach for GBM. It is therefore disappointing that due to key methodological limitations, the DCVax-L trial ultimately failed to provide sound conclusions about the potential efficacy of such approach for patients with glioblastoma.
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Arifianto MR, Meizikri R, Haq IBI, Susilo RI, Wahyuhadi J, Hermanto Y, Faried A. Emerging hallmark of gliomas microenvironment in evading immunity: a basic concept. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2023. [DOI: 10.1186/s41983-023-00635-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023] Open
Abstract
Abstract
Background
Over the last decade, since clinical trials examining targeted therapeutics for gliomas have failed to demonstrate a meaningful increase in survival, the emphasis has recently been switched toward innovative techniques for modulating the immune response against tumors and their microenvironments (TME). Cancerous cells have eleven hallmarks which make it distinct from normal ones, among which is immune evasion. Immune evasion in glioblastoma helps it evade various treatment modalities.
Summary
Glioblastoma’s TME is composed of various array of cellular actors, ranging from peripherally derived immune cells to a variety of organ-resident specialized cell types. For example, the blood–brain barrier (BBB) serves as a selective barrier between the systemic circulation and the brain, which effectively separates it from other tissues. It is capable of blocking around 98% of molecules that transport different medications to the target tumor.
Objectives
The purpose of this paper is to offer a concise overview of fundamental immunology and how ‘clever’ gliomas avoid the immune system despite the discovery of immunotherapy for glioma.
Conclusions
Herein, we highlight the complex interplay of the tumor, the TME, and the nearby normal structures makes it difficult to grasp how to approach the tumor itself. Numerous researchers have found that the brain TME is a critical regulator of glioma growth and treatment efficacy.
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McCornack C, Woodiwiss T, Hardi A, Yano H, Kim AH. The function of histone methylation and acetylation regulators in GBM pathophysiology. Front Oncol 2023; 13:1144184. [PMID: 37205197 PMCID: PMC10185819 DOI: 10.3389/fonc.2023.1144184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/29/2023] [Indexed: 05/21/2023] Open
Abstract
Glioblastoma (GBM) is the most common and lethal primary brain malignancy and is characterized by a high degree of intra and intertumor cellular heterogeneity, a starkly immunosuppressive tumor microenvironment, and nearly universal recurrence. The application of various genomic approaches has allowed us to understand the core molecular signatures, transcriptional states, and DNA methylation patterns that define GBM. Histone posttranslational modifications (PTMs) have been shown to influence oncogenesis in a variety of malignancies, including other forms of glioma, yet comparatively less effort has been placed on understanding the transcriptional impact and regulation of histone PTMs in the context of GBM. In this review we discuss work that investigates the role of histone acetylating and methylating enzymes in GBM pathogenesis, as well as the effects of targeted inhibition of these enzymes. We then synthesize broader genomic and epigenomic approaches to understand the influence of histone PTMs on chromatin architecture and transcription within GBM and finally, explore the limitations of current research in this field before proposing future directions for this area of research.
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Affiliation(s)
- Colin McCornack
- Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO, United States
| | - Timothy Woodiwiss
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States
- Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa, IA, United States
| | - Angela Hardi
- Bernard Becker Medical Library, Washington University School of Medicine, St. Louis, MO, United States
| | - Hiroko Yano
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States
- The Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States
| | - Albert H. Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States
- The Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States
- *Correspondence: Albert H. Kim,
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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] [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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Sex Differences in Glioblastoma—Findings from the Swedish National Quality Registry for Primary Brain Tumors between 1999–2018. J Clin Med 2022; 11:jcm11030486. [PMID: 35159938 PMCID: PMC8837060 DOI: 10.3390/jcm11030486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 02/01/2023] Open
Abstract
Sex disparities in glioblastoma (GBM) have received increasing attention. Sex-related differences for several molecular markers have been reported, which could impact on clinical factors and outcomes. We therefore analyzed data on all patients with GBM reported to the Swedish National Quality Registry for Primary Brain Tumors, according to sex, with a focus on prognostic factors and survival. All glioma patients registered during 20 years, from 1 January 1999 until 31 December 2018, with SNOMED codes 94403, 94413, and 94423, were analyzed. Chi2-test, log-rank test, and Kaplan–Meier analyses were performed. We identified 5243 patients, of which 2083 were females and 3160 males, resulting in a ratio of 1:1.5. We found sex related differences, with women having diagnostic surgery at a significantly higher age (p = 0.001). Women were also reported to have a worse preoperative performance status (PPS) (<0.001). There was no gender difference for the type of surgery performed. For women with radical surgery, overall survival was slightly better than for men (p = 0.045). The time period did not influence survival, neither for 1999–2005 nor 2006–2018, after temozolomide treatment was introduced (p = 0.35 and 0.10, respectively). In the multivariate analysis including sex, age, surgery, and PPS, a survival advantage was noted for women, but this was not clinically relevant (HR = 0.92, p = 0.006). For patients with GBM; sex-related differences in clinical factors could be identified in a population-based cohort. In this dataset, for survival, the only advantage noted was for women who had undergone radical surgery, although this was clinically almost negligible.
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Bjorland LS, Dæhli Kurz K, Fluge Ø, Gilje B, Mahesparan R, Sætran H, Ushakova A, Farbu E. Butterfly glioblastoma: Clinical characteristics, treatment strategies and outcomes in a population-based cohort. Neurooncol Adv 2022; 4:vdac102. [PMID: 35892046 PMCID: PMC9307095 DOI: 10.1093/noajnl/vdac102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Butterfly glioblastoma is a rare subgroup of glioblastoma with a bihemispheric tumor crossing the corpus callosum, and is associated with a dismal prognosis. Prognostic factors are previously sparsely described and optimal treatment remains uncertain. We aimed to analyze clinical characteristics, treatment strategies, and outcomes from butterfly glioblastoma in a real-world setting. Methods This retrospective population-based cohort study included patients diagnosed with butterfly glioblastoma in Western Norway between 01/01/2007 and 31/12/2014. We enrolled patients with histologically confirmed glioblastoma and patients with a diagnosis based on a typical MRI pattern. Clinical data were extracted from electronic medical records. Molecular and MRI volumetric analyses were retrospectively performed. Survival analyses were performed using the Kaplan–Meier method and Cox proportional hazards regression models. Results Among 381 patients diagnosed with glioblastoma, 33 patients (8.7%) met the butterfly glioblastoma criteria. Median overall survival was 5.5 months (95% CI 3.1–7.9) and 3-year survival was 9.1%. Hypofractionated radiation therapy with or without temozolomide was the most frequently used treatment strategy, given to 16 of the 27 (59.3%) patients receiving radiation therapy. Best supportive care was associated with poorer survival compared with multimodal treatment [adjusted hazard ratio 5.11 (95% CI 1.09–23.89)]. Conclusion Outcome from butterfly glioblastoma was dismal, with a median overall survival of less than 6 months. However, long-term survival was comparable to that observed in non-butterfly glioblastoma, and multimodal treatment was associated with longer survival. This suggests that patients with butterfly glioblastoma may benefit from a more aggressive treatment approach despite the overall poor prognosis.
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Affiliation(s)
- Line Sagerup Bjorland
- Department of Oncology, Stavanger University Hospital , Stavanger , Norway
- Department of Clinical Medicine, University of Bergen , Bergen , Norway
| | - Kathinka Dæhli Kurz
- Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital , Stavanger , Norway
- Institute for Data- and Electrotechnology, Faculty of Science and Technology, University of Stavanger , Stavanger , Norway
| | - Øystein Fluge
- Department of Oncology and Medical Physics, Haukeland University Hospital , Bergen , Norway
- Department of Clinical Science, University of Bergen , Bergen , Norway
| | - Bjørnar Gilje
- Department of Oncology, Stavanger University Hospital , Stavanger , Norway
| | - Rupavathana Mahesparan
- Department of Clinical Medicine, University of Bergen , Bergen , Norway
- Department of Neurosurgery, Haukeland University Hospital , Bergen , Norway
| | - Hege Sætran
- Department of Pathology, Haukeland University Hospital , Bergen , Norway
| | | | - Elisabeth Farbu
- Department of Clinical Medicine, University of Bergen , Bergen , Norway
- Department of Neurology, Stavanger University Hospital , Stavanger , Norway
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Affiliation(s)
- Chris McKinnon
- Department of Neurosurgery, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Meera Nandhabalan
- Department of Clinical Oncology, Oxford University Hospitals NHS Foundation Trust
| | - Scott A Murray
- Centre for Population Health Sciences, The Usher Institute of Population Health Sciences and Informatics, Primary Palliative Care Research Group, University of Edinburgh, Edinburgh, UK
| | - Puneet Plaha
- Department of Neurosurgery, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
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