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Zelt S, Cooney T, Yu S, Daral S, Krebs B, Markan R, Manley P, Kieran M, Govinda Raju S. Disease burden and healthcare utilization in pediatric low-grade glioma: A United States retrospective study of linked claims and electronic health records. Neurooncol Pract 2024; 11:583-592. [PMID: 39279771 PMCID: PMC11398936 DOI: 10.1093/nop/npae037] [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] [Indexed: 09/18/2024] Open
Abstract
Background Despite high long-term survival rates, pediatric low-grade gliomas (pLGGs) are linked with significant tumor- and treatment-associated morbidities that may persist throughout life. The aims of this descriptive cross-sectional pilot study were to characterize health conditions among a cohort of patients with pLGG and explore the feasibility of quantifying disease burden and healthcare resource utilization (HRU). Methods Optum® Market Clarity Data were used to identify patients aged ≤18 years with an ICD-10 code for brain neoplasm, ≥1 physician notes, and with evidence of pLGG recorded between January 1, 2017 and June 30, 2018. Outcomes including health characteristics, HRU, medications, and procedures were assessed at 6-month intervals over 36 months. Results One hundred and fifty-four patients were identified with pLGG and over half experienced headache/migraine, respiratory infection, pain, or behavioral issues during the 36-month study period. The most common comorbidities were ocular/visual (including blindness), mental health disorders, seizures, and behavioral/cognition disorders. Most symptoms and comorbidities persisted or increased during the study period, indicating long-term health deficits. HRU, including speciality care visits, filled prescriptions, and administered medications, was common; 74% of patients had prescriptions for anti-infectives, 56% antiemetics, and 52% required pain or fever relief. Sixty-five percent of patients underwent treatment to control their pLGG, the most common being brain surgery. Little decline was observed in medication use during the study period. Conclusions Patients with pLGG have complex healthcare needs requiring high HRU, often over a long time. Patients need to be optimally managed to minimize disease- and treatment-related burden and HRU.
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Affiliation(s)
- Susan Zelt
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
| | - Tabitha Cooney
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
| | - Sandie Yu
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
| | - Shailaja Daral
- Optum Lifesciences, Inc., Eden Prairie, Minnesota, USA (S.D., B.K., R.M.)
| | - Blake Krebs
- Optum Lifesciences, Inc., Eden Prairie, Minnesota, USA (S.D., B.K., R.M.)
| | - Riddhi Markan
- Optum Lifesciences, Inc., Eden Prairie, Minnesota, USA (S.D., B.K., R.M.)
| | - Peter Manley
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
| | - Mark Kieran
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
| | - Sandya Govinda Raju
- Day One Biopharmaceuticals, Inc., Brisbane, California, USA (S.Z., T.C., S.Y., P.M., M.K., S.G.R.)
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Baticulon RE, Wittayanakorn N, Maixner W. Low-grade glioma of the temporal lobe and tumor-related epilepsy in children. Childs Nerv Syst 2024; 40:3085-3098. [PMID: 38789690 DOI: 10.1007/s00381-024-06468-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024]
Abstract
PURPOSE Low-grade glioma is the most common brain tumor among children and adolescents. When these tumors arise in the temporal lobe, patients frequently present with seizures that are poorly controlled with antiepileptic drugs. Here we summarize the clinical features, pathophysiology, preoperative evaluation, surgical treatment, and outcomes of pediatric patients with low-grade gliomas in the temporal lobe. METHODS We reviewed the literature on pediatric low-grade gliomas in the temporal lobe, focusing on cohort studies and systematic reviews that described surgical treatment strategies and reported both oncologic and epilepsy outcomes. RESULTS The differential diagnoses of pediatric low-grade gliomas in the temporal lobe include ganglioglioma, dysembryoplastic neuroepithelial tumor, desmoplastic infantile ganglioglioma, papillary glioneuronal tumor, pilocytic astrocytoma, pleomorphic xanthoastrocytoma, angiocentric glioma, and polymorphous low-grade neuroepithelial tumor of the young. There is no consensus on the optimal surgical approach for these tumors: lesionectomy alone, or extended lesionectomy with anterior temporal lobectomy, with or without removal of mesial temporal structures. Gross total resection and shorter preoperative duration of epilepsy are strongly associated with favorable seizure outcomes, defined as Engel Class I or Class II, approaching 90% in most series. The risk of surgical complications ranges from 4 to 17%, outweighing the lifetime risks of medically refractory epilepsy. CONCLUSION Pediatric patients with temporal low-grade glioma and tumor-related epilepsy are best managed by a multidisciplinary epilepsy surgery team. Early and appropriate surgery leads to prolonged survival and a greater likelihood of seizure freedom, improving their overall quality of life.
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Affiliation(s)
- Ronnie E Baticulon
- Division of Neurosurgery, Department of Neurosciences, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.
- Department of Anatomy, College of Medicine, University of the Philippines Manila, Manila, Philippines.
| | - Nunthasiri Wittayanakorn
- Division of Neurosurgery, Department of Surgery, Queen Sirikit National Institute of Child Health, Bangkok, Thailand
| | - Wirginia Maixner
- Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia
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3
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Kudus K, Wagner M, Ertl-Wagner BB, Khalvati F. Applications of machine learning to MR imaging of pediatric low-grade gliomas. Childs Nerv Syst 2024; 40:3027-3035. [PMID: 38972953 DOI: 10.1007/s00381-024-06522-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/21/2024] [Indexed: 07/09/2024]
Abstract
INTRODUCTION Machine learning (ML) shows promise for the automation of routine tasks related to the treatment of pediatric low-grade gliomas (pLGG) such as tumor grading, typing, and segmentation. Moreover, it has been shown that ML can identify crucial information from medical images that is otherwise currently unattainable. For example, ML appears to be capable of preoperatively identifying the underlying genetic status of pLGG. METHODS In this chapter, we reviewed, to the best of our knowledge, all published works that have used ML techniques for the imaging-based evaluation of pLGGs. Additionally, we aimed to provide some context on what it will take to go from the exploratory studies we reviewed to clinically deployed models. RESULTS Multiple studies have demonstrated that ML can accurately grade, type, and segment and detect the genetic status of pLGGs. We compared the approaches used between the different studies and observed a high degree of variability throughout the methodologies. Standardization and cooperation between the numerous groups working on these approaches will be key to accelerating the clinical deployment of these models. CONCLUSION The studies reviewed in this chapter detail the potential for ML techniques to transform the treatment of pLGG. However, there are still challenges that need to be overcome prior to clinical deployment.
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Affiliation(s)
- Kareem Kudus
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Matthias Wagner
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Augsburg, Augsburg, Germany
| | - Birgit Betina Ertl-Wagner
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Farzad Khalvati
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada.
- Institute of Medical Science, University of Toronto, Toronto, Canada.
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
- Department of Computer Science, University of Toronto, Toronto, Canada.
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
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Rufus P, Chatterjee S. Second-look surgery in postoperative pediatric low-grade glioma. Childs Nerv Syst 2024; 40:3135-3142. [PMID: 38970692 DOI: 10.1007/s00381-024-06516-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 06/20/2024] [Indexed: 07/08/2024]
Abstract
OBJECTIVE To review the literature on second-look surgery in pediatric low-grade gliomas (LGG) with a view to presenting both sides of the picture of re-exploration. METHODS Collection of material from recent literature on pediatric LGG. This was a retrospective review of these publications. RESULTS There are a number of publications recommending second-look surgery in selected cases, provided morbidity of the second surgery is minimum, and indeed some in which there is improvement in the neurodeficit after the second resection. CONCLUSION There seems a fair balance of articles recommending and dissuading the practice of second-look surgery, but in our limited experience we have found it useful in selected patients.
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Valerio J, Borro M, Proietti E, Pisciotta L, Olarinde IO, Fernandez Gomez M, Alvarez Pinzon AM. Systematic Review and Clinical Insights: The Role of the Ketogenic Diet in Managing Glioblastoma in Cancer Neuroscience. J Pers Med 2024; 14:929. [PMID: 39338183 PMCID: PMC11433106 DOI: 10.3390/jpm14090929] [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: 06/20/2024] [Revised: 08/02/2024] [Accepted: 08/24/2024] [Indexed: 09/30/2024] Open
Abstract
Recent scientific research has shown that the ketogenic diet may have potential benefits in a variety of medical fields, which has led to the diet receiving a substantial amount of attention. Clinical and experimental research on brain tumors has shown that the ketogenic diet has a satisfactory safety profile. This safety profile has been established in a variety of applications, including the management of obesity and the treatment of drug-resistant epileptic cases. However, in human studies, the impact of ketogenic therapy on the growth of tumors and the life expectancy of patients has not provided results that are well characterized. Consequently, our purpose is to improve the comprehension of these features by succinctly presenting the developments and conclusions that have been gained from the most recent study that pertains to this non-pharmacological technique. According to the findings of our study, patients with brain tumors who stick to a ketogenic diet are more likely to experience improved survival rates. However, it is required to conduct additional research on humans in order to more accurately define the anti-tumor efficiency of this diet as well as the underlying processes that support the therapeutic effects of this dieting regimen.
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Affiliation(s)
- Jose Valerio
- Neurosurgery Oncology Center of Excellence, Neurosurgery Department, Miami Neuroscience Center at Larkin, South Miami, FL 33143, USA
| | - Matteo Borro
- Internal Medicine Unit, Department of Internal Medicine, IRCCS Ospedale Policlinico San Martino, Largo R. Benzi 10, 16132 Genova, Italy
| | - Elisa Proietti
- Department of Internal Medicine (DIMI), University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
| | - Livia Pisciotta
- Department of Internal Medicine (DIMI), University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
- Operative Unit of Dietetics and Clinical Nutrition, Department of Internal Medicine, IRCCS Ospedale Policlinico San Martino, Largo R. Benzi 10, 16132 Genova, Italy
| | - Immanuel O Olarinde
- Neurosurgery Department, Latino America Valerio Foundation, Weston, FL 33331, USA
| | | | - Andres Mauricio Alvarez Pinzon
- MCIFAU Cancer Center of Excellence, Memorial Cancer Institute, Memorial Healthcare System, Hollywood, FL 33021, USA
- Cancer Neuroscience Program, The Institute of Neuroscience of Castilla y León (INCYL), Universidad de Salamanca, 37007 Salamanca, Spain
- Institute for Human Health and Disease Intervention, Division of Research, FAU Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA
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Kudus K, Wagner MW, Namdar K, Bennett J, Nobre L, Tabori U, Hawkins C, Ertl-Wagner BB, Khalvati F. Beyond hand-crafted features for pretherapeutic molecular status identification of pediatric low-grade gliomas. Sci Rep 2024; 14:19102. [PMID: 39154039 PMCID: PMC11330469 DOI: 10.1038/s41598-024-69870-x] [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: 02/08/2024] [Accepted: 08/09/2024] [Indexed: 08/19/2024] Open
Abstract
The use of targeted agents in the treatment of pediatric low-grade gliomas (pLGGs) relies on the determination of molecular status. It has been shown that genetic alterations in pLGG can be identified non-invasively using MRI-based radiomic features or convolutional neural networks (CNNs). We aimed to build and assess a combined radiomics and CNN non-invasive pLGG molecular status identification model. This retrospective study used the tumor regions, manually segmented from T2-FLAIR MR images, of 336 patients treated for pLGG between 1999 and 2018. We designed a CNN and Random Forest radiomics model, along with a model relying on a combination of CNN and radiomic features, to predict the genetic status of pLGG. Additionally, we investigated whether CNNs could predict radiomic feature values from MR images. The combined model (mean AUC: 0.824) outperformed the radiomics model (0.802) and CNN (0.764). The differences in model performance were statistically significant (p-values < 0.05). The CNN was able to learn predictive radiomic features such as surface-to-volume ratio (average correlation: 0.864), and difference matrix dependence non-uniformity normalized (0.924) well but was unable to learn others such as run-length matrix variance (- 0.017) and non-uniformity normalized (- 0.042). Our results show that a model relying on both CNN and radiomic-based features performs better than either approach separately in differentiating the genetic status of pLGGs, and that CNNs are unable to express all handcrafted features.
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Affiliation(s)
- Kareem Kudus
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Matthias W Wagner
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Augsburg, Augsburg, Germany
| | - Khashayar Namdar
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Julie Bennett
- Division of Hematology and Oncology, The Hospital for Sick Children, Toronto, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada
- Department of Pediatrics, University of Toronto, Toronto, Canada
| | - Liana Nobre
- Department of Paediatrics, University of Alberta, Edmonton, Canada
- Division of Immunology, Hematology/Oncology and Palliative Care, Stollery Children's Hospital, Edmonton, Canada
| | - Uri Tabori
- Division of Hematology and Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Cynthia Hawkins
- Paediatric Laboratory Medicine, Division of Pathology, The Hospital for Sick Children, Toronto, Canada
| | - Birgit Betina Ertl-Wagner
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Farzad Khalvati
- Neurosciences & Mental Health Research Program, The Hospital for Sick Children, Toronto, Canada.
- Institute of Medical Science, University of Toronto, Toronto, Canada.
- Department of Diagnostic & Interventional Radiology, The Hospital for Sick Children, Toronto, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
- Department of Computer Science, University of Toronto, Toronto, Canada.
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
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7
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Gorodezki D, Schuhmann MU, Ebinger M, Schittenhelm J. Dissecting the Natural Patterns of Progression and Senescence in Pediatric Low-Grade Glioma: From Cellular Mechanisms to Clinical Implications. Cells 2024; 13:1215. [PMID: 39056798 PMCID: PMC11274692 DOI: 10.3390/cells13141215] [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: 05/31/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
Pediatric low-grade gliomas (PLGGs) comprise a heterogeneous set of low-grade glial and glioneuronal tumors, collectively representing the most frequent CNS tumors of childhood and adolescence. Despite excellent overall survival rates, the chronic nature of the disease bears a high risk of long-term disease- and therapy-related morbidity in affected patients. Recent in-depth molecular profiling and studies of the genetic landscape of PLGGs led to the discovery of the paramount role of frequent upregulation of RAS/MAPK and mTOR signaling in tumorigenesis and progression of these tumors. Beyond, the subsequent unveiling of RAS/MAPK-driven oncogene-induced senescence in these tumors may shape the understanding of the molecular mechanisms determining the versatile progression patterns of PLGGs, potentially providing a promising target for novel therapies. Recent in vitro and in vivo studies moreover indicate a strong dependence of PLGG formation and growth on the tumor microenvironment. In this work, we provide an overview of the current understanding of the multilayered cellular mechanisms and clinical factors determining the natural progression patterns and the characteristic biological behavior of these tumors, aiming to provide a foundation for advanced stratification for the management of these tumors within a multimodal treatment approach.
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Affiliation(s)
- David Gorodezki
- Department of Hematology and Oncology, University Children’s Hospital Tübingen, 72076 Tübingen, Germany;
| | - Martin U. Schuhmann
- Section of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Martin Ebinger
- Department of Hematology and Oncology, University Children’s Hospital Tübingen, 72076 Tübingen, Germany;
| | - Jens Schittenhelm
- Department of Neuropathology, Institute of Pathology, University Hospital Tübingen, 72076 Tübingen, Germany
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Erker C, Vanan MI, Larouche V, Nobre L, Cacciotti C, Vairy S, Zelcer S, Fleming A, Bouffet E, Jabado N, Legault G, Renzi S, McKeown T, Crooks B, Thacker N, Ramaswamy V, Coltin H, Lafay-Cousin L, Cheng S, Hukin J, Climans SA, Lim-Fat MJ, McKillop S, Lapointe S, Alves M, Bennett J, Tabori U, Perreault S. Canadian Consensus for Treatment of BRAF V600E Mutated Pediatric and AYA Gliomas. Curr Oncol 2024; 31:4022-4029. [PMID: 39057171 PMCID: PMC11276207 DOI: 10.3390/curroncol31070299] [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: 06/03/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Background: The treatment of BRAF V600E gliomas with BRAF inhibitors (BRAFis) and MEK inhibitors (MEKis) has been increasingly integrated into clinical practice for pediatric low-grade gliomas (PLGGs) and pediatric high-grade gliomas (HGGs). However, some questions remain unanswered, such as the best time to start targeted therapy, duration of treatment, and discontinuation of therapy. Given that no clinical trial has been able to address these critical questions, we developed a Canadian Consensus statement for the treatment of BRAF V600E mutated pediatric as well as adolescent and young adult (AYA) gliomas. Methods: Canadian neuro-oncologists were invited to participate in the development of this consensus. The consensus was discussed during monthly web-based national meetings, and the algorithms were revised until a consensus was achieved. Results: A total of 26 participants were involved in the development of the algorithms. Two treatment algorithms are proposed, one for the initiation of treatment and one for the discontinuation of treatment. We suggest that most patients with BRAF V600E gliomas should be treated with BRAFis ± MEKis upfront. Discontinuation of treatment can be considered in certain circumstances, and we suggest a slow wean. Conclusions: Based on expert consensus in Canada, we developed algorithms for treatment initiation of children and AYA with BRAF V600E gliomas as well as a discontinuation algorithm.
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Affiliation(s)
- Craig Erker
- Department of Pediatrics, Dalhousie University, Halifax, NS B3H 4R2, Canada; (C.E.); (B.C.)
- Division of Pediatric Hematology-Oncology, IWK Health Centre, Halifax, NS B3K 6R8, Canada
| | - Magimairajan Issai Vanan
- Pediatric Neuro-Oncology, Division of Pediatric Hematology-Oncology and BMT, Cancer Care Manitoba, 3a Department of Pediatrics and Child Health, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;
| | - Valérie Larouche
- Department of Pediatric Hemato-Oncology, CHU de Québec-Université Laval, Quebec City, QC G1V 4G2, Canada; (V.L.); (S.R.)
| | - Liana Nobre
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Chantel Cacciotti
- Division of Hematology/Oncology, Department of Pediatrics, London Health Sciences Centre & Western University, London, ON N6A 5A5, Canada; (C.C.); (S.Z.)
| | - Stéphanie Vairy
- Department of Pediatrics, Division of Pediatric Hematology, CHU Sherbrooke, QC J1H 5N4, Canada;
| | - Shayna Zelcer
- Division of Hematology/Oncology, Department of Pediatrics, London Health Sciences Centre & Western University, London, ON N6A 5A5, Canada; (C.C.); (S.Z.)
| | - Adam Fleming
- McMaster Children’s Hospital, Hamilton, ON L8N 3Z5, Canada;
| | - Eric Bouffet
- Department of Pediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada; (E.B.); (T.M.); (V.R.); (J.B.); (U.T.)
- Division of Hematology Oncology, The Hospital for Sick Children, Toronto, ON M5G 1E8, Canada
| | - Nada Jabado
- Montreal Children’s Hospital, Montréal, QC H4A 3J1, Canada; (N.J.); (G.L.)
| | - Geneviève Legault
- Montreal Children’s Hospital, Montréal, QC H4A 3J1, Canada; (N.J.); (G.L.)
| | - Samuele Renzi
- Department of Pediatric Hemato-Oncology, CHU de Québec-Université Laval, Quebec City, QC G1V 4G2, Canada; (V.L.); (S.R.)
| | - Tara McKeown
- Department of Pediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada; (E.B.); (T.M.); (V.R.); (J.B.); (U.T.)
- Division of Hematology Oncology, The Hospital for Sick Children, Toronto, ON M5G 1E8, Canada
| | - Bruce Crooks
- Department of Pediatrics, Dalhousie University, Halifax, NS B3H 4R2, Canada; (C.E.); (B.C.)
- Division of Pediatric Hematology-Oncology, IWK Health Centre, Halifax, NS B3K 6R8, Canada
| | - Nirav Thacker
- Division of Hematology/Oncology, CHEO, Ottawa, ON K1H 8L1, Canada;
| | - Vijay Ramaswamy
- Department of Pediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada; (E.B.); (T.M.); (V.R.); (J.B.); (U.T.)
- Division of Hematology Oncology, The Hospital for Sick Children, Toronto, ON M5G 1E8, Canada
| | - Hallie Coltin
- Division of Hematology Oncology, CHU Sainte-Justine, Montréal, QC H3T 1C5, Canada;
| | | | - Sylvia Cheng
- B.C. Children’s Hospital, Vancouver, BC V6H 3N1, Canada; (S.C.); (J.H.)
| | - Juliette Hukin
- B.C. Children’s Hospital, Vancouver, BC V6H 3N1, Canada; (S.C.); (J.H.)
| | | | - Mary Jane Lim-Fat
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M5S 1A1, Canada;
| | - Sarah McKillop
- Women and Children’s Health Research Institute, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Sarah Lapointe
- Division of Neurology, Department of Neurosciences, Montreal, QC H3A 2B4, Canada;
- Department of Neurosciences, University of Montreal, Montréal, QC H3T 1J4, Canada;
| | - Mélanie Alves
- Department of Neurosciences, University of Montreal, Montréal, QC H3T 1J4, Canada;
| | - Julie Bennett
- Department of Pediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada; (E.B.); (T.M.); (V.R.); (J.B.); (U.T.)
| | - Uri Tabori
- Department of Pediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada; (E.B.); (T.M.); (V.R.); (J.B.); (U.T.)
- Division of Hematology Oncology, The Hospital for Sick Children, Toronto, ON M5G 1E8, Canada
| | - Sébastien Perreault
- Department of Neurosciences, University of Montreal, Montréal, QC H3T 1J4, Canada;
- Division of Child Neurology, CHU Sainte-Justine, Montréal, QC H3T 1C5, Canada
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Vaidya T, Sahu A, Epari S, Shetty O, Gurav M, Sahay A, Lad S, Kurki V, Kapadia T, Chinnaswamy G, Goda J, Shetty P, Krishnatry R, Chatterjee A, Singh V, Moiyadi A, Gupta T. Magnetic Resonance Imaging Features of Sporadic Optic Chiasmatic-Hypothalamic Gliomas and Correlation with Histopathology and BRAF Gene Alterations. Neurol India 2024; 72:747-755. [PMID: 39216028 DOI: 10.4103/neurol-india.ni_521_22] [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: 05/24/2022] [Accepted: 11/11/2022] [Indexed: 09/04/2024]
Abstract
OBJECTIVE Sporadic optic chiasmatic-hypothalamic gliomas (OCHGs), though histologically low-grade tumors, manifest as aggressive neoplasms radiologically, leading to difficulty in diagnosis. Molecular alterations of the BRAF gene are detectable in a majority of sporadic OCHGs. The purpose of our study was to elucidate the characteristic imaging features of sporadic OCHGs and to investigate whether imaging phenotypes could potentially correlate with specific BRAF gene alterations associated with these tumors. METHODS We retrospectively reviewed baseline magnetic resonance (MR) images and medical records of 26 patients with histopathologically proven sporadic OCHGs. MR imaging (MRI) features were systematically evaluated. Statistical analysis was performed to determine whether there was a significant association between imaging findings and BRAF molecular alterations. RESULTS Twenty-two cases (84.6%) presented with solid-cystic masses, while four (15.4%) presented with purely solid lesions. In all 26 cases, the solid component revealed central necrosis; there was minimal necrosis in 11 cases (42.3%), moderate in 8 (30.7%), and marked in 7 (26.9%). The presence of multiple cysts (>4) and minimal necrosis showed a significant association with BRAFV600E mutation (P < 0.005). Marked necrosis in the solid component significantly correlated with BRAF wild genotype (P < 0.001). The presence of a single peripheral cyst significantly correlated with BRAF fusion (P = 0.04). CONCLUSION Sporadic OCHGs have a distinctive appearance on imaging. The solid-cystic composition coupled with varying degrees of central necrosis are clues to the radiological diagnosis of this entity and can facilitate early recognition in clinical practice. Imaging could potentially serve as a non-invasive predictor of the BRAF alteration status, thereby serving as a prognostic marker and guiding personalized management.
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Affiliation(s)
- Tanvi Vaidya
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Arpita Sahu
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sridhar Epari
- Department of Pathology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Omshree Shetty
- Department of Pathology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mamta Gurav
- Department of Pathology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Ayushi Sahay
- Department of Pathology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Shraddha Lad
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Vineeth Kurki
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Tejas Kapadia
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Girish Chinnaswamy
- Department of Paediatric Oncology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Jayant Goda
- Department of Radiation Oncology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Prakash Shetty
- Department of Neurosurgery, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Rahul Krishnatry
- Department of Radiation Oncology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Abhishek Chatterjee
- Department of Radiation Oncology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Vikas Singh
- Department of Neurosurgery, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Aliasgar Moiyadi
- Department of Neurosurgery, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Tata Memorial Hospital, TMC and Homi Bhabha National Institute, Mumbai, Maharashtra, India
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10
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Obdeijn IV, Wiegers EC, Alic L, Plasschaert SLA, Kranendonk MEG, Hoogduin HM, Klomp DWJ, Wijnen JP, Lequin MH. Amide proton transfer weighted imaging in pediatric neuro-oncology: initial experience. NMR IN BIOMEDICINE 2024; 37:e5122. [PMID: 38369653 DOI: 10.1002/nbm.5122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/22/2023] [Accepted: 01/22/2024] [Indexed: 02/20/2024]
Abstract
Amide proton transfer weighted (APTw) imaging enables in vivo assessment of tissue-bound mobile proteins and peptides through the detection of chemical exchange saturation transfer. Promising applications of APTw imaging have been shown in adult brain tumors. As pediatric brain tumors differ from their adult counterparts, we investigate the radiological appearance of pediatric brain tumors on APTw imaging. APTw imaging was conducted at 3 T. APTw maps were calculated using magnetization transfer ratio asymmetry at 3.5 ppm. First, the repeatability of APTw imaging was assessed in a phantom and in five healthy volunteers by calculating the within-subject coefficient of variation (wCV). APTw images of pediatric brain tumor patients were analyzed retrospectively. APTw levels were compared between solid tumor tissue and normal-appearing white matter (NAWM) and between pediatric high-grade glioma (pHGG) and pediatric low-grade glioma (pLGG) using t-tests. APTw maps were repeatable in supratentorial and infratentorial brain regions (wCV ranged from 11% to 39%), except those from the pontine region (wCV between 39% and 50%). APTw images of 23 children with brain tumor were analyzed (mean age 12 years ± 5, 12 male). Significantly higher APTw values are present in tumor compared with NAWM for both pHGG and pLGG (p < 0.05). APTw values were higher in pLGG subtype pilocytic astrocytoma compared with other pLGG subtypes (p < 0.05). Non-invasive characterization of pediatric brain tumor biology with APTw imaging could aid the radiologist in clinical decision-making.
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Affiliation(s)
- Iris V Obdeijn
- Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Evita C Wiegers
- Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lejla Alic
- Magnetic Detection and Imaging Group, Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - Sabine L A Plasschaert
- Department of Pediatric Neuro-Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Mariëtte E G Kranendonk
- Department of Diagnostic Laboratory, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Hans M Hoogduin
- Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Dennis W J Klomp
- Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jannie P Wijnen
- Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maarten H Lequin
- Department of Pediatric Neuro-Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Radiology and Nuclear Medicine, University of Medical Center Utrecht, Utrecht, The Netherlands
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11
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Pan C, Li T, Zhang M, Wang Y, Xiao X, Zhang P, Zuo P, Wang Y, Xiao D, Wu Z, Zhang J, Zhang L. A novel radiological classification of midbrain pilocytic astrocytomas and its implication for surgical management: a single-institution experience of 57 cases. J Neurosurg 2024; 140:1527-1539. [PMID: 38134425 PMCID: PMC10810682 DOI: 10.3171/2023.9.jns23540] [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: 03/16/2023] [Accepted: 09/28/2023] [Indexed: 12/24/2023]
Abstract
OBJECTIVE Surgery for midbrain pilocytic astrocytoma (PA) remains a formidable challenge. To facilitate decision-making and achieve a better outcome in the management of patients with midbrain PA, the authors have proposed a novel radiological classification of midbrain PAs with long-term follow-up. METHODS Fifty-seven midbrain PA patients who underwent surgery at Beijing Tiantan Hospital, Capital Medical University, from January 2008 to June 2021, were reviewed. Based on tumor location and the topological anatomical change identified on MRI, midbrain PAs were categorized into four types: crural (12/57, 21.1%), tegmental (25/57, 43.9%), aqueductal (5/57, 8.8%), and tectal (15/57, 26.3%) PAs. The relevant clinical, radiological, and pathological data; surgical procedures and results; and long-term outcomes were collected and analyzed. RESULTS The 1-, 3-, and 5-year survival rates reached 98%, 96%, and 96%, respectively, with gross-total resection achieved in 66.7% of cases, followed by near-total resection in 17.5% cases. The clinical and radiological features, selection of surgical approaches, and long-term postoperative deficits were distinct among each type. Crural PAs were associated with younger age (median 9 years, IQR 5.0-12.8 years); the largest tumor volume (median 31.9 cm3, IQR 17.2-42.6 cm3); the lowest preoperative Karnofsky Performance Scale (KPS) score (median 65, IQR 50-70); the most frequent preoperative motor deficit (91.7%); a mixed solid-cystic component (75%); occupation of the crural cistern; elevation and rotation of the thalamus (medial and/or lateral); displacement of the anterior third ventricle, uncus, and anterior commissure; the most diverse surgical approaches; more frequent use of multimodality image-guided surgery (58.3%); and the most remarkable improvement in KPS score at long-term follow-up. Tegmental PAs were associated with adolescents and young adults (median age 21 years, IQR 8-33 years); tumor volume (median 13.9 cm3, IQR 9.5-20.5 cm3); a good preoperative KPS score (median 80, IQR 70-80); a mixed solid-cystic component (72%); occupation of the ambient cistern and cerebellomesencephalic fissure; a close relationship with the dorsal pons, superior cerebellar peduncle, and posterior inferior third ventricle; and a higher probability of permanent postoperative sensory deficits (40%). Aqueductal and tectal PAs were associated with small tumor volume (median 9.14 cm3, IQR 5.1-17.4 cm3 and median 11.84 cm3, IQR 5.7-18.3 cm3, respectively), a higher percentage of hydrocephalus (80% and 86.7%, respectively), and a straightforward selection of limited surgical approaches. CONCLUSIONS A novel and comprehensive radiological classification of midbrain PAs was established, which will serve as a valuable tool in patient management and promote uniform communication and comparison across different studies and publications.
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Affiliation(s)
- Changcun Pan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Tian Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Mingxin Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Yujin Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Xiong Xiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Peng Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Pengcheng Zuo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Yi Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Dan Xiao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing
| | - Zhen Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Junting Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Liwei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
- Beijing Key Laboratory of Brain Tumor, Fengtai District, Beijing, China
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12
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Tak D, Ye Z, Zapaischykova A, Zha Y, Boyd A, Vajapeyam S, Chopra R, Hayat H, Prabhu SP, Liu KX, Elhalawani H, Nabavizadeh A, Familiar A, Resnick AC, Mueller S, Aerts HJWL, Bandopadhayay P, Ligon KL, Haas-Kogan DA, Poussaint TY, Kann BH. Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiol Artif Intell 2024; 6:e230333. [PMID: 38446044 PMCID: PMC11140508 DOI: 10.1148/ryai.230333] [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: 08/18/2023] [Revised: 01/11/2024] [Accepted: 02/14/2024] [Indexed: 03/07/2024]
Abstract
Purpose To develop and externally test a scan-to-prediction deep learning pipeline for noninvasive, MRI-based BRAF mutational status classification for pediatric low-grade glioma. Materials and Methods This retrospective study included two pediatric low-grade glioma datasets with linked genomic and diagnostic T2-weighted MRI data of patients: Dana-Farber/Boston Children's Hospital (development dataset, n = 214 [113 (52.8%) male; 104 (48.6%) BRAF wild type, 60 (28.0%) BRAF fusion, and 50 (23.4%) BRAF V600E]) and the Children's Brain Tumor Network (external testing, n = 112 [55 (49.1%) male; 35 (31.2%) BRAF wild type, 60 (53.6%) BRAF fusion, and 17 (15.2%) BRAF V600E]). A deep learning pipeline was developed to classify BRAF mutational status (BRAF wild type vs BRAF fusion vs BRAF V600E) via a two-stage process: (a) three-dimensional tumor segmentation and extraction of axial tumor images and (b) section-wise, deep learning-based classification of mutational status. Knowledge-transfer and self-supervised approaches were investigated to prevent model overfitting, with a primary end point of the area under the receiver operating characteristic curve (AUC). To enhance model interpretability, a novel metric, center of mass distance, was developed to quantify the model attention around the tumor. Results A combination of transfer learning from a pretrained medical imaging-specific network and self-supervised label cross-training (TransferX) coupled with consensus logic yielded the highest classification performance with an AUC of 0.82 (95% CI: 0.72, 0.91), 0.87 (95% CI: 0.61, 0.97), and 0.85 (95% CI: 0.66, 0.95) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively, on internal testing. On external testing, the pipeline yielded an AUC of 0.72 (95% CI: 0.64, 0.86), 0.78 (95% CI: 0.61, 0.89), and 0.72 (95% CI: 0.64, 0.88) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively. Conclusion Transfer learning and self-supervised cross-training improved classification performance and generalizability for noninvasive pediatric low-grade glioma mutational status prediction in a limited data scenario. Keywords: Pediatrics, MRI, CNS, Brain/Brain Stem, Oncology, Feature Detection, Diagnosis, Supervised Learning, Transfer Learning, Convolutional Neural Network (CNN) Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Divyanshu Tak
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Zezhong Ye
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Anna Zapaischykova
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Yining Zha
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Aidan Boyd
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sridhar Vajapeyam
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Rishi Chopra
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hasaan Hayat
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sanjay P Prabhu
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Kevin X Liu
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hesham Elhalawani
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Ali Nabavizadeh
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Ariana Familiar
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Adam C Resnick
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sabine Mueller
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hugo J W L Aerts
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Pratiti Bandopadhayay
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Keith L Ligon
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Daphne A Haas-Kogan
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Tina Y Poussaint
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Benjamin H Kann
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
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Lucke-Wold B, Rangwala BS, Shafique MA, Siddiq MA, Mustafa MS, Danish F, Nasrullah RMU, Zainab N, Haseeb A. Focus on current and emerging treatment options for glioma: A comprehensive review. World J Clin Oncol 2024; 15:482-495. [PMID: 38689623 PMCID: PMC11056857 DOI: 10.5306/wjco.v15.i4.482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/22/2024] [Accepted: 02/28/2024] [Indexed: 04/22/2024] Open
Abstract
This comprehensive review delves into the current updates and challenges associated with the management of low-grade gliomas (LGG), the predominant primary tumors in the central nervous system. With a general incidence rate of 5.81 per 100000, gliomas pose a significant global concern, necessitating advancements in treatment techniques to reduce mortality and morbidity. This review places a particular focus on immunotherapies, discussing promising agents such as Zotiraciclib and Lerapolturev. Zotiraciclib, a CDK9 inhibitor, has demonstrated efficacy in glioblastoma treatment in preclinical and clinical studies, showing its potential as a therapeutic breakthrough. Lerapolturev, a viral immunotherapy, induces inflammation in glioblastoma and displays positive outcomes in both adult and pediatric patients. Exploration of immunotherapy extends to Pembrolizumab, Nivolumab, and Entrectinib, revealing the challenges and variabilities in patient responses. Despite promising preclinical data, the monoclonal antibody Depatuxizumab has proven ineffective in glioblastoma treatment, emphasizing the critical need to understand resistance mechanisms. The review also covers the success of radiation therapy in pediatric LGG, with evolving techniques, such as proton therapy, showing potential improvements in patient quality of life. Surgical treatment is discussed in the context of achieving a balance between preserving the patient's quality of life and attaining gross total resection, with the extent of surgical resection significantly influencing the survival outcomes. In addition to advancements in cancer vaccine development, this review highlights the evolving landscape of LGG treatment, emphasizing a shift toward personalized and targeted therapies. Ongoing research is essential for refining strategies and enhancing outcomes in the management of LGG.
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Affiliation(s)
- Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32608, United States
| | | | | | - Mohammad Arham Siddiq
- Department of Neurosurgery, Jinnah Sindh Medical University, Karachi 75510, Pakistan
| | | | - Fnu Danish
- Department of Neurosurgery, Jinnah Sindh Medical University, Karachi 75510, Pakistan
| | | | - Noor Zainab
- Department of Neurosurgery, Army Medical College, Rawalpindi 46000, Pakistan
| | - Abdul Haseeb
- Department of Neurosurgery, Jinnah Sindh Medical University, Karachi 75510, Pakistan
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Gorodezki D, Zipfel J, Bevot A, Nägele T, Ebinger M, Schuhmann MU, Schittenhelm J. Prognostic utility and characteristics of MIB-1 labeling index as a proliferative activity marker in childhood low-grade glioma: a retrospective observational study. J Cancer Res Clin Oncol 2024; 150:178. [PMID: 38580878 PMCID: PMC10997709 DOI: 10.1007/s00432-024-05701-w] [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: 07/26/2023] [Accepted: 03/13/2024] [Indexed: 04/07/2024]
Abstract
PURPOSE The prognostic utility of MIB-1 labeling index (LI) in pediatric low-grade glioma (PLGG) has not yet conclusively been described. We assess the correlation of MIB-1 LI and tumor growth velocity (TGV), aiming to contribute to the understanding of clinical implications and the predictive value of MIB-1 LI as an indicator of proliferative activity and progression-free survival (PFS) in PLGG. METHODS MIB-1 LI of a cohort of 172 nonependymal PLGGs were comprehensively characterized. Correlation to TGV, assessed by sequential MRI-based three-dimensional volumetry, and PFS was analyzed. RESULTS Mean MIB-1 LI accounted for 2.7% (range: < 1-10) and showed a significant decrease to 1.5% at secondary surgery (p = .0013). A significant difference of MIB-1 LI in different histopathological types and a correlation to tumor volume at diagnosis could be shown. Linear regression analysis showed a correlation between MIB-1 LI and preoperative TGV (R2 = .55, p < .0001), while correlation to TGV remarkably decreased after incomplete resection (R2 = .08, p = .013). Log-rank test showed no association of MIB-1 LI and 5-year PFS after incomplete (MIB-1 LI > 1 vs ≤ 1%: 48 vs 46%, p = .73) and gross-total resection (MIB-1 LI > 1 vs ≤ 1%: 89 vs 95%, p = .75). CONCLUSION These data confirm a correlation of MIB-1 LI and radiologically detectable TGV in PLGG for the first time. Compared with preoperative TGV, a crucially decreasing correlation of MIB-1 LI and TGV after surgery may result in limited prognostic capability of MIB-1 LI in PLGG.
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Affiliation(s)
- David Gorodezki
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany.
| | - Julian Zipfel
- Department of Neurosurgery, Section of Pediatric Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Andrea Bevot
- Department of Neuropediatrics and Developmental Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Nägele
- Department of Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Martin Ebinger
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Martin U Schuhmann
- Department of Neurosurgery, Section of Pediatric Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Jens Schittenhelm
- Institute of Pathology, Department of Neuropathology, University Hospital Tübingen, Tübingen, Germany
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Kudus K, Wagner MW, Namdar K, Nobre L, Bouffet E, Tabori U, Hawkins C, Yeom KW, Ertl-Wagner BB, Khalvati F. Increased confidence of radiomics facilitating pretherapeutic differentiation of BRAF-altered pediatric low-grade glioma. Eur Radiol 2024; 34:2772-2781. [PMID: 37803212 DOI: 10.1007/s00330-023-10267-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/16/2023] [Accepted: 08/10/2023] [Indexed: 10/08/2023]
Abstract
OBJECTIVES Currently, the BRAF status of pediatric low-grade glioma (pLGG) patients is determined through a biopsy. We established a nomogram to predict BRAF status non-invasively using clinical and radiomic factors. Additionally, we assessed an advanced thresholding method to provide only high-confidence predictions for the molecular subtype. Finally, we tested whether radiomic features provide additional predictive information for this classification task, beyond that which is embedded in the location of the tumor. METHODS Random forest (RF) models were trained on radiomic and clinical features both separately and together, to evaluate the utility of each feature set. Instead of using the traditional single threshold technique to convert the model outputs to class predictions, we implemented a double threshold mechanism that accounted for uncertainty. Additionally, a linear model was trained and depicted graphically as a nomogram. RESULTS The combined RF (AUC: 0.925) outperformed the RFs trained on radiomic (AUC: 0.863) or clinical (AUC: 0.889) features alone. The linear model had a comparable AUC (0.916), despite its lower complexity. Traditional thresholding produced an accuracy of 84.5%, while the double threshold approach yielded 92.2% accuracy on the 80.7% of patients with the highest confidence predictions. CONCLUSION Models that included radiomic features outperformed, underscoring their importance for the prediction of BRAF status. A linear model performed similarly to RF but with the added benefit that it can be visualized as a nomogram, improving the explainability of the model. The double threshold technique was able to identify uncertain predictions, enhancing the clinical utility of the model. CLINICAL RELEVANCE STATEMENT Radiomic features and tumor location are both predictive of BRAF status in pLGG patients. We show that they contain complementary information and depict the optimal model as a nomogram, which can be used as a non-invasive alternative to biopsy. KEY POINTS • Radiomic features provide additional predictive information for the determination of the molecular subtype of pediatric low-grade gliomas patients, beyond what is embedded in the location of the tumor, which has an established relationship with genetic status. • An advanced thresholding method can help to distinguish cases where machine learning models have a high chance of being (in)correct, improving the utility of these models. • A simple linear model performs similarly to a more powerful random forest model at classifying the molecular subtype of pediatric low-grade gliomas but has the added benefit that it can be converted into a nomogram, which may facilitate clinical implementation by improving the explainability of the model.
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Affiliation(s)
- Kareem Kudus
- Neurosciences & Mental Health Research Program, Research Institute, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Matthias W Wagner
- Department of Diagnostic Imaging & Image-Guided Therapy, The Hospital for Sick Children, Toronto, Canada
| | - Khashayar Namdar
- Neurosciences & Mental Health Research Program, Research Institute, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Liana Nobre
- Department of Neuro-oncology, The Hospital for Sick Children, Toronto, Canada
| | - Eric Bouffet
- Department of Hematology and Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Uri Tabori
- Department of Neuro-oncology, The Hospital for Sick Children, Toronto, Canada
| | - Cynthia Hawkins
- Paediatric Laboratory Medicine, Division of Pathology, The Hospital for Sick Children, Toronto, Canada
| | - Kristen W Yeom
- Department of Radiology, Stanford University School of Medicine, Lucile Packard Children's Hospital, Palo Alto, USA
| | - Birgit B Ertl-Wagner
- Neurosciences & Mental Health Research Program, Research Institute, The Hospital for Sick Children, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Diagnostic Imaging & Image-Guided Therapy, The Hospital for Sick Children, Toronto, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Farzad Khalvati
- Neurosciences & Mental Health Research Program, Research Institute, The Hospital for Sick Children, Toronto, Canada.
- Institute of Medical Science, University of Toronto, Toronto, Canada.
- Department of Diagnostic Imaging & Image-Guided Therapy, The Hospital for Sick Children, Toronto, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
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Toader C, Eva L, Costea D, Corlatescu AD, Covache-Busuioc RA, Bratu BG, Glavan LA, Costin HP, Popa AA, Ciurea AV. Low-Grade Gliomas: Histological Subtypes, Molecular Mechanisms, and Treatment Strategies. Brain Sci 2023; 13:1700. [PMID: 38137148 PMCID: PMC10741942 DOI: 10.3390/brainsci13121700] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Low-Grade Gliomas (LGGs) represent a diverse group of brain tumors originating from glial cells, characterized by their unique histopathological and molecular features. This article offers a comprehensive exploration of LGGs, shedding light on their subtypes, histological and molecular aspects. By delving into the World Health Organization's grading system, 5th edition, various specificities were added due to an in-depth understanding of emerging laboratory techniques, especially genomic analysis. Moreover, treatment modalities are extensively discussed. The degree of surgical resection should always be considered according to postoperative quality of life and cognitive status. Adjuvant therapies focused on chemotherapy and radiotherapy depend on tumor grading and invasiveness. In the current literature, emerging targeted molecular therapies are well discussed due to their succinctly therapeutic effect; in our article, those therapies are summarized based on posttreatment results and possible adverse effects. This review serves as a valuable resource for clinicians, researchers, and medical professionals aiming to deepen their knowledge on LGGs and enhance patient care.
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Affiliation(s)
- Corneliu Toader
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
- Department of Vascular Neurosurgery, National Institute of Neurology and Neurovascular Diseases, 077160 Bucharest, Romania
| | - Lucian Eva
- Department of Neurosurgery, Dunarea de Jos University, 800010 Galati, Romania
- Department of Neurosurgery, Clinical Emergency Hospital “Prof. Dr. Nicolae Oblu”, 700309 Iasi, Romania
| | - Daniel Costea
- Department of Neurosurgery, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Antonio Daniel Corlatescu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Razvan-Adrian Covache-Busuioc
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Bogdan-Gabriel Bratu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Luca Andrei Glavan
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Horia Petre Costin
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Andrei Adrian Popa
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Alexandru Vlad Ciurea
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
- Neurosurgery Department, Sanador Clinical Hospital, 010991 Bucharest, Romania
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17
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Tak D, Ye Z, Zapaishchykova A, Zha Y, Boyd A, Vajapeyam S, Chopra R, Hayat H, Prabhu S, Liu KX, Elhalawani H, Nabavizadeh A, Familiar A, Resnick A, Mueller S, Aerts HJ, Bandopadhayay P, Ligon K, Haas-Kogan D, Poussaint T, Kann BH. Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.04.23293673. [PMID: 37609311 PMCID: PMC10441478 DOI: 10.1101/2023.08.04.23293673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Purpose To develop and externally validate a scan-to-prediction deep-learning pipeline for noninvasive, MRI-based BRAF mutational status classification for pLGG. Materials and Methods We conducted a retrospective study of two pLGG datasets with linked genomic and diagnostic T2-weighted MRI of patients: BCH (development dataset, n=214 [60 (28%) BRAF fusion, 50 (23%) BRAF V600E, 104 (49%) wild-type), and Child Brain Tumor Network (CBTN) (external validation, n=112 [60 (53%) BRAF-Fusion, 17 (15%) BRAF-V600E, 35 (32%) wild-type]). We developed a deep learning pipeline to classify BRAF mutational status (V600E vs. fusion vs. wildtype) via a two-stage process: 1) 3D tumor segmentation and extraction of axial tumor images, and 2) slice-wise, deep learning-based classification of mutational status. We investigated knowledge-transfer and self-supervised approaches to prevent model overfitting with a primary endpoint of the area under the receiver operating characteristic curve (AUC). To enhance model interpretability, we developed a novel metric, COMDist, that quantifies the accuracy of model attention around the tumor. Results A combination of transfer learning from a pretrained medical imaging-specific network and self-supervised label cross-training (TransferX) coupled with consensus logic yielded the highest macro-average AUC (0.82 [95% CI: 0.70-0.90]) and accuracy (77%) on internal validation, with an AUC improvement of +17.7% and a COMDist improvement of +6.4% versus training from scratch. On external validation, the TransferX model yielded AUC (0.73 [95% CI 0.68-0.88]) and accuracy (75%). Conclusion Transfer learning and self-supervised cross-training improved classification performance and generalizability for noninvasive pLGG mutational status prediction in a limited data scenario.
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Affiliation(s)
- Divyanshu Tak
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Zezhong Ye
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Anna Zapaishchykova
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Yining Zha
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Aidan Boyd
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sridhar Vajapeyam
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Rishi Chopra
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Hasaan Hayat
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanjay Prabhu
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Kevin X. Liu
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Hesham Elhalawani
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ali Nabavizadeh
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ariana Familiar
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Adam Resnick
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sabine Mueller
- Department of Neurology, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Hugo J.W.L. Aerts
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, the Netherlands
| | - Pratiti Bandopadhayay
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Keith Ligon
- Department of Pathology, Dana-Farber Cancer Institute, Boston Children’s Hospital, Harvard Medical School, Boston, A, USA
| | - Daphne Haas-Kogan
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tina Poussaint
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Benjamin H. Kann
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
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18
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Liu H, Tang T. MAPK signaling pathway-based glioma subtypes, machine-learning risk model, and key hub proteins identification. Sci Rep 2023; 13:19055. [PMID: 37925483 PMCID: PMC10625624 DOI: 10.1038/s41598-023-45774-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023] Open
Abstract
An early diagnosis and precise prognosis are critical for the treatment of glioma. The mitogen‑activated protein kinase (MAPK) signaling pathway potentially affects glioma, but the exploration of the clinical values of the pathway remains lacking. We accessed data from TCGA, GTEx, CGGA, etc. Up-regulated MAPK signaling pathway genes in glioma were identified and used to cluster the glioma subtypes using consensus clustering. The subtype differences in survival, cancer stemness, and the immune microenvironment were analyzed. A prognostic model was trained with the identified genes using the LASSO method and was validated with three external cohorts. The correlations between the risk model and cancer-associated signatures in cancer were analyzed. Key hub genes of the gene set were identified by hub gene analysis and survival analysis. 47% of the MAPK signaling pathway genes were overexpressed in glioma. Subtypes based on these genes were distinguished in survival, cancer stemness, and the immune microenvironment. A risk model was calculated with high confidence in the prediction of overall survival and was correlated with multiple cancer-associated signatures. 12 hub genes were identified and 8 of them were associated with survival. The MAPK signaling pathway was overexpressed in glioma with prognostic value.
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Affiliation(s)
- Hengrui Liu
- Xinkaiyuan Pharmaceuticals, Beijing, China
- Guangzhou Regenerative Medicine Research Center, Future Homo Sapiens Institute of Regenerative Medicine Co., Ltd (FHIR), Guangzhou, China
| | - Tao Tang
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
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19
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Phuong C, Qiu B, Mueller S, Braunstein SE. Precision based approach to tailoring radiotherapy in the multidisciplinary management of pediatric central nervous system tumors. JOURNAL OF THE NATIONAL CANCER CENTER 2023; 3:141-149. [PMID: 39035723 PMCID: PMC11256719 DOI: 10.1016/j.jncc.2023.03.001] [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: 10/06/2022] [Revised: 03/26/2023] [Accepted: 03/31/2023] [Indexed: 04/08/2023] Open
Abstract
Modern day survivorship from childhood malignancies is estimated to be over 80%. However, central nervous system tumors remain the leading cause of cancer mortality in children and is the most common solid tumor in this population. Improved survivorship is, in part, a result of improved multidisciplinary care, often with a combination of surgery, radiation therapy, and systemic therapy. With improved survival, long term effects of treatment and quality of life impacts have been recognized and pose a challenge to maximize the therapeutic ratio of treatment. It has been increasingly more apparent that precise risk stratification, such as with the inclusion of molecular classification, is instrumental in efforts to tailor radiotherapy for appropriate treatment, generally towards de-intensification for this vulnerable patient population. In addition, advances in radiotherapy techniques have allowed greater conformality and accuracy of treatment for those who do require radiotherapy for tumor control. Ongoing efforts to tailor radiotherapy, including de-escalation, omission, or intensification of radiotherapy, continue to improve as increasing insight into tumor heterogeneity is recognized, coupled with advances in precision medicine employing novel molecularly-targeted therapeutics.
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Affiliation(s)
- Christina Phuong
- Department of Radiation Oncology, University of California, San Francisco, United States of America
| | - Bo Qiu
- Division of Hematology/Oncology, Department of Pediatrics, University of California, San Francisco, United States of America
| | - Sabine Mueller
- Division of Hematology/Oncology, Department of Pediatrics, University of California, San Francisco, United States of America
- Department of Neurology and Neurosurgery, University of California, San Francisco, United States of America
| | - Steve E. Braunstein
- Department of Radiation Oncology, University of California, San Francisco, United States of America
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20
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Gorodezki D, Zipfel J, Queudeville M, Holzer U, Bevot A, Schittenhelm J, Nägele T, Schuhmann MU, Ebinger M. Evaluating the safety of perioperative dexamethasone treatment: A retrospective analysis of a single center pediatric low-grade glioma cohort. Int J Cancer 2023; 152:1875-1883. [PMID: 36522830 DOI: 10.1002/ijc.34399] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/01/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022]
Abstract
In addition to surgical management, corticosteroids have proven to be beneficial in the management of acute symptoms related to CNS tumors, and have been widely used for many decades, with dexamethasone (DM) representing the most commonly used agent. However, lately published in vitro data possibly indicates a DM-induced suppression of oncogene-induced senescence (OIS) in a preclinical pediatric low-grade glioma (pLGG) model, which, alongside data associating perioperative DM treatment with reduced event-free survival in adult glioma, raises questions concerning the safety of DM treatment in pLGG. A total of 172 patients with pLGG were retrospectively analyzed concerning the impact of perioperative DM application on postoperative short- and long-term tumor growth velocity and progression-free survival (PFS). Three-dimensional volumetric analyses of sequential MRI follow-up examinations were used for assessment of tumor growth behavior. Mean follow-up period accounted for 60.1 months. Sixty-five patients (45%) were perioperatively treated with DM in commonly used doses. Five-year PFS accounted for 93% following gross-total resection (GTR) and 57% post incomplete resection (IR). Comparison of short- and long-term postoperative tumor growth rates in patients with vs without perioperative DM application showed no significant difference (short-term: 0.022 vs 0.023 cm3 /month, respectively; long-term: 0.019 vs 0.023 cm3 /month, respectively). Comparison of PFS post IR (5-year-PFS: 65% vs 55%, respectively; 10-year-PFS: 52% vs 53%, respectively) and GTR (5- and 10-years-PFS: 91% vs 92%, respectively) likewise showed similarity. This data emphasizes the safety of perioperative DM application in pLGG, adding further evidence for decision making and requested future guidelines.
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Affiliation(s)
- David Gorodezki
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Julian Zipfel
- Department of Neurosurgery, Section of Pediatric Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Manon Queudeville
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany.,Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ursula Holzer
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Andrea Bevot
- Department of Neuropediatrics and Developmental Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Jens Schittenhelm
- Institute of Pathology, Department of Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Nägele
- Department of Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Martin U Schuhmann
- Department of Neurosurgery, Section of Pediatric Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Martin Ebinger
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
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21
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Selt F, Sigaud R, Valinciute G, Sievers P, Zaman J, Alcon C, Schmid S, Peterziel H, Tsai JW, Guiho R, Martínez-Barbera JP, Pusch S, Deng J, Zhai Y, van Tilburg CM, Schuhman MU, El Damaty A, Bandopadhayay P, Herold-Mende C, von Deimling A, Pfister SM, Montero J, Capper D, Oehme I, Sahm F, Jones DTW, Witt O, Milde T. BH3 mimetics targeting BCL-XL impact the senescent compartment of pilocytic astrocytoma. Neuro Oncol 2023; 25:735-747. [PMID: 35977048 PMCID: PMC10076946 DOI: 10.1093/neuonc/noac199] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Pilocytic astrocytoma (PA) is the most common pediatric brain tumor and a mitogen-activated protein kinase (MAPK)-driven disease. Oncogenic MAPK-signaling drives the majority of cells into oncogene-induced senescence (OIS). While OIS induces resistance to antiproliferative therapies, it represents a potential vulnerability exploitable by senolytic agents. METHODS We established new patient-derived PA cell lines that preserve molecular features of the primary tumors and can be studied in OIS and proliferation depending on expression or repression of the SV40 large T antigen. We determined expression of anti-apoptotic BCL-2 members in these models and primary PA. Dependence of senescent PA cells on anti-apoptotic BCL-2 members was investigated using a comprehensive set of BH3 mimetics. RESULTS Senescent PA cells upregulate BCL-XL upon senescence induction and show dependency on BCL-XL for survival. BH3 mimetics with high affinity for BCL-XL (BCL-XLi) reduce metabolic activity and induce mitochondrial apoptosis in senescent PA cells at nano-molar concentrations. In contrast, BH3 mimetics without BCL-XLi activity, conventional chemotherapy, and MEK inhibitors show no effect. CONCLUSIONS Our data demonstrate that BCL-XL is critical for survival of senescent PA tumor cells and provides proof-of-principle for the use of clinically available BCL-XL-dependent senolytics.
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Affiliation(s)
- Florian Selt
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
- KiTZ Clinical Trial Unit (ZIPO), Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Romain Sigaud
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Gintvile Valinciute
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Philipp Sievers
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Julia Zaman
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Clara Alcon
- Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 08028, Barcelona, Spain
| | - Simone Schmid
- Charité-Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health, Department of Neuropathology, Berlin, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Berlin, Berlin, Germany
| | - Heike Peterziel
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Jessica W Tsai
- Dana-Farber/Boston Children’s Cancer and Blood Disorder Center, Boston, Massachusetts, USA
| | - Romain Guiho
- Developmental Biology and Cancer Research & Teaching Department, Birth Defects Research Centre, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Juan Pedro Martínez-Barbera
- Developmental Biology and Cancer Research & Teaching Department, Birth Defects Research Centre, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Stefan Pusch
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jing Deng
- Ascentage Pharma (Suzhou) Co, Ltd, Suzhou, Jiangsu Province, China
| | - Yifan Zhai
- Ascentage Pharma (Suzhou) Co, Ltd, Suzhou, Jiangsu Province, China
| | - Cornelis M van Tilburg
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
- KiTZ Clinical Trial Unit (ZIPO), Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin U Schuhman
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Ahmed El Damaty
- Pediatric Neurosurgery Division, Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Pratiti Bandopadhayay
- Dana-Farber/Boston Children’s Cancer and Blood Disorder Center, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Andreas von Deimling
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan M Pfister
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- KiTZ Clinical Trial Unit (ZIPO), Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Joan Montero
- Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 08028, Barcelona, Spain
| | - David Capper
- Charité-Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health, Department of Neuropathology, Berlin, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Berlin, Berlin, Germany
| | - Ina Oehme
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Felix Sahm
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David T W Jones
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Olaf Witt
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
- KiTZ Clinical Trial Unit (ZIPO), Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Till Milde
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany
- KiTZ Clinical Trial Unit (ZIPO), Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
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22
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Sait SF, Giantini-Larsen AM, Tringale KR, Souweidane MM, Karajannis MA. Treatment of Pediatric Low-Grade Gliomas. Curr Neurol Neurosci Rep 2023; 23:185-199. [PMID: 36881254 PMCID: PMC10121885 DOI: 10.1007/s11910-023-01257-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2023] [Indexed: 03/08/2023]
Abstract
PURPOSE OF REVIEW Pediatric low-grade gliomas and glioneuronal tumors (pLGG) account for approximately 30% of pediatric CNS neoplasms, encompassing a heterogeneous group of tumors of primarily glial or mixed neuronal-glial histology. This article reviews the treatment of pLGG with emphasis on an individualized approach incorporating multidisciplinary input from surgery, radiation oncology, neuroradiology, neuropathology, and pediatric oncology to carefully weigh the risks and benefits of specific interventions against tumor-related morbidity. Complete surgical resection can be curative for cerebellar and hemispheric lesions, while use of radiotherapy is restricted to older patients or those refractory to medical therapy. Chemotherapy remains the preferred first-line therapy for adjuvant treatment of the majority of recurrent or progressive pLGG. RECENT FINDINGS Technologic advances offer the potential to limit volume of normal brain exposed to low doses of radiation when treating pLGG with either conformal photon or proton RT. Recent neurosurgical techniques such as laser interstitial thermal therapy offer a "dual" diagnostic and therapeutic treatment modality for pLGG in specific surgically inaccessible anatomical locations. The emergence of novel molecular diagnostic tools has enabled scientific discoveries elucidating driver alterations in mitogen-activated protein kinase (MAPK) pathway components and enhanced our understanding of the natural history (oncogenic senescence). Molecular characterization strongly supplements the clinical risk stratification (age, extent of resection, histological grade) to improve diagnostic precision and accuracy, prognostication, and can lead to the identification of patients who stand to benefit from precision medicine treatment approaches. The success of molecular targeted therapy (BRAF inhibitors and/or MEK inhibitors) in the recurrent setting has led to a gradual and yet significant paradigm shift in the treatment of pLGG. Ongoing randomized trials comparing targeted therapy to standard of care chemotherapy are anticipated to further inform the approach to upfront management of pLGG patients.
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Affiliation(s)
- Sameer Farouk Sait
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
| | - Alexandra M Giantini-Larsen
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, USA
| | - Kathryn R Tringale
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Mark M Souweidane
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, USA
| | - Matthias A Karajannis
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
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Puthenpura V, Nadkarni S, DiLuna M, Hieftje K, Marks A. Personality Changes and Staring Spells in a 12-Year-Old Child: A Case Report Incorporating ChatGPT, a Natural Language Processing Tool Driven by Artificial Intelligence (AI). Cureus 2023; 15:e36408. [PMID: 37090271 PMCID: PMC10115215 DOI: 10.7759/cureus.36408] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2023] [Indexed: 03/22/2023] Open
Abstract
Low grade gliomas (LGGs) are the most common type of brain tumors diagnosed in children. The presentation of intracranial tumors in pediatric patients is varied and diverse. The early identification and treatment of LGGs are important to achieve favorable outcomes. Although personality changes can be a symptom of intracranial tumors, they are rarely the only main presenting feature. In addition to central nervous system (CNS) tumors, personality changes can be associated with psychological and endocrine conditions, contributing to a broad differential diagnosis. Because symptoms such as personality changes have the potential to be missed, communication between family members and clinicians is imperative to identify these symptoms early. We report the case of a 12-year-old child who presented with personality changes as her main symptom and was found to have an intracranial neoplasm. This case report integrates original author writing with output from ChatGPT, a natural language processing tool driven by artificial intelligence (AI). In addition to the case itself, this report will explore the benefits and drawbacks of using natural language AI in this context.
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24
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de Lucio Delgado A, Villegas Rubio JA, Riaño-Galán I, Pérez Gordón J. Effect of the Use of Gnrh Analogs in Low-Grade Cerebral Glioma. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10010115. [PMID: 36670665 PMCID: PMC9856414 DOI: 10.3390/children10010115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/19/2022] [Accepted: 01/02/2023] [Indexed: 01/06/2023]
Abstract
Low-grade gliomas are the most common brain tumors in children. This tumor type presents a wide range of clinical, histological, and biological behaviors. In recent years, an association between estrogens and progesterone and the development of tumors has been suggested. A case of a 2-year-old girl is described with a low-grade brain tumor treated with chemotherapy and disease stabilization. The treatment with Decapeptyl® was initiated due to precocious puberty, and the tumor showed a decrease in its solid component-more than 50% of the initial size-three years after starting treatment. Several studies have described the influence of estrogen and progesterone on the development of gliomas, decreasing or increasing their expression in those tumors with greater aggressiveness, respectively. Despite the fact that the tumor-hormonal expression relationship in other tumor types has been evaluated, its role in the treatment of brain tumors remains unknown.
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Affiliation(s)
- Ana de Lucio Delgado
- Oncology Pediatric Department, Central University Hospital of Asturias, 33011 Oviedo, Spain
- Correspondence:
| | | | - Isolina Riaño-Galán
- Pediatric Endocrinology Department, Central University Hospital of Asturias, 33011 Oviedo, Spain
| | - Juan Pérez Gordón
- Pediatric Endocrinology Department, Central University Hospital of Asturias, 33011 Oviedo, Spain
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25
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Fehri E, Ennaifer E, Bel Haj Rhouma R, Ardhaoui M, Boubaker S. TLR9 and Glioma: Friends or Foes? Cells 2022; 12:cells12010152. [PMID: 36611945 PMCID: PMC9818384 DOI: 10.3390/cells12010152] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/18/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022] Open
Abstract
Toll-like receptor 9 (TLR9) is an intracellular innate immunity receptor that plays a vital role in chronic inflammation and in recognizing pathogenic and self-DNA in immune complexes. This activation of intracellular signaling leads to the transcription of either immune-related or malignancy genes through specific transcription factors. Thus, it has been hypothesized that TLR9 may cause glioma. This article reviews the roles of TLR9 in the pathogenesis of glioma and its related signaling molecules in either defending or promoting glioma. TLR9 mediates the invasion-induced hypoxia of brain cancer cells by the activation of matrix metalloproteinases (2, 9, and 13) in brain tissues. In contrast, the combination of the TLR9 agonist CpG ODN to radiotherapy boosts the role of T cells in antitumor effects. The TLR9 agonist CpG ODN 107 also enhances the radiosensitivity of human glioma U87 cells by blocking tumor angiogenesis. CpG enhances apoptosis in vitro and in vivo. Furthermore, it can enhance the antigen-presenting capacity of microglia, switch immune response toward CD8 T cells, and reduce the number of CD4CD25 Treg cells. CpG ODN shows promise as a potent immunotherapeutic drug against cancer, but specific cautions should be taken when activating TLR9, especially in the case of glioblastoma.
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Affiliation(s)
- Emna Fehri
- HPV Unit Research, Laboratory of Molecular Epidemiology and Experimental Pathology Applied to Infectious Diseases, Pasteur Institute of Tunis, Tunis 1002, Tunisia
- Department of Human and Experimental Pathology, Pasteur Institute of Tunis, Tunis 1002, Tunisia
- Correspondence:
| | - Emna Ennaifer
- HPV Unit Research, Laboratory of Molecular Epidemiology and Experimental Pathology Applied to Infectious Diseases, Pasteur Institute of Tunis, Tunis 1002, Tunisia
- Department of Human and Experimental Pathology, Pasteur Institute of Tunis, Tunis 1002, Tunisia
| | - Rahima Bel Haj Rhouma
- HPV Unit Research, Laboratory of Molecular Epidemiology and Experimental Pathology Applied to Infectious Diseases, Pasteur Institute of Tunis, Tunis 1002, Tunisia
| | - Monia Ardhaoui
- HPV Unit Research, Laboratory of Molecular Epidemiology and Experimental Pathology Applied to Infectious Diseases, Pasteur Institute of Tunis, Tunis 1002, Tunisia
- Department of Human and Experimental Pathology, Pasteur Institute of Tunis, Tunis 1002, Tunisia
| | - Samir Boubaker
- Department of Human and Experimental Pathology, Pasteur Institute of Tunis, Tunis 1002, Tunisia
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Leclair NK, Lambert W, Roche K, Gillan E, Gell JJ, Lau CC, Wrubel G, Knopf J, Amin S, Anderson M, Martin JE, Bookland MJ, Hersh DS. Early experience with targeted therapy as a first-line adjuvant treatment for pediatric low-grade glioma. Neurosurg Focus 2022; 53:E15. [PMID: 36455272 DOI: 10.3171/2022.9.focus22410] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/19/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Pediatric low-grade gliomas (pLGGs) frequently exhibit dysregulation of the mitogen-activated protein kinase (MAPK) pathway. Targeted therapies, including mutant BRAF inhibitors (dabrafenib) and MEK inhibitors (trametinib), have shown promise in patients in whom conventional chemotherapy has failed. However, few studies have investigated the use of targeted therapy as a first-line treatment for pLGG. Here, the authors reviewed their institutional experience with using a personalized medicine approach to patients with newly diagnosed pLGGs. METHODS All pediatric patients at the authors' institution who had been treated with dabrafenib or trametinib for pLGG without first receiving conventional chemotherapy or radiation were retrospectively reviewed. Demographic, clinical, and radiological data were collected. RESULTS Eight patients underwent targeted therapy as a first-line treatment for pLGG. Five patients had a BRAF alteration (1 with a BRAFV600E mutation, 4 with a KIAA1549:BRAF fusion), and 3 patients had an NF1 mutation. One of the 8 patients was initially treated with dabrafenib, and trametinib was added later. Seven patients were initially treated with trametinib; of these, 2 later transitioned to dual therapy, whereas 5 continued with trametinib monotherapy. Six patients (75%) demonstrated a partial response to therapy during their treatment course, whereas stable disease was identified in the remaining 2 patients (25%). One patient experienced mild disease progression after completing a course of trametinib monotherapy, but ultimately stabilized after a period of close observation. Another patient experienced tumor progression while on dabrafenib, but subsequently responded to dual therapy with dabrafenib and trametinib. The most common adverse reactions to targeted therapy were cutaneous toxicity (100%) and diarrhea (50%). CONCLUSIONS Targeted therapies have the potential to become a standard treatment option for pLGG due to their favorable toxicity profile and oral route of administration. This case series provides preliminary evidence that targeted therapies can induce an early disease response as a first-line adjuvant treatment; however, large-scale studies are required to assess long-term durability and safety.
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Affiliation(s)
| | | | - Kimberley Roche
- 2Division of Hematology and Oncology, Connecticut Children's, Hartford
| | - Eileen Gillan
- 2Division of Hematology and Oncology, Connecticut Children's, Hartford
| | - Joanna J Gell
- 2Division of Hematology and Oncology, Connecticut Children's, Hartford.,3The Jackson Laboratory for Genomic Medicine, Farmington.,4Department of Pediatrics, UConn School of Medicine; Farmington
| | - Ching C Lau
- 2Division of Hematology and Oncology, Connecticut Children's, Hartford.,3The Jackson Laboratory for Genomic Medicine, Farmington.,4Department of Pediatrics, UConn School of Medicine; Farmington
| | | | - Joshua Knopf
- 1School of Medicine, University of Connecticut, Farmington
| | - Shirali Amin
- 2Division of Hematology and Oncology, Connecticut Children's, Hartford
| | - Megan Anderson
- 6Division of Neurosurgery, Connecticut Children's, Hartford; and
| | - Jonathan E Martin
- 6Division of Neurosurgery, Connecticut Children's, Hartford; and.,7Department of Surgery, UConn School of Medicine, Farmington, Connecticut
| | - Markus J Bookland
- 6Division of Neurosurgery, Connecticut Children's, Hartford; and.,7Department of Surgery, UConn School of Medicine, Farmington, Connecticut
| | - David S Hersh
- 6Division of Neurosurgery, Connecticut Children's, Hartford; and.,7Department of Surgery, UConn School of Medicine, Farmington, Connecticut
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Gorodezki D, Zipfel J, Queudeville M, Sosa J, Holzer U, Kern J, Bevot A, Schittenhelm J, Nägele T, Ebinger M, Schuhmann MU. Resection extent and BRAF V600E mutation status determine postoperative tumor growth velocity in pediatric low-grade glioma: results from a single-center cohort analysis. J Neurooncol 2022; 160:567-576. [PMID: 36319795 PMCID: PMC9758245 DOI: 10.1007/s11060-022-04176-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/18/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE Despite excellent long-term overall survival rates, pediatric low-grade gliomas (pLGG) show high variety of clinical behavior regarding progress or senescence post incomplete resection (IR). This study retrospectively analyzes tumor growth velocity (TGV) of pLGG before surgery and after IR to investigate the impact of surgical extent, tumor location and molecular BRAF status on postoperative residual tumor growth behavior. METHODS Of a total of 172 patients with pLGG receiving surgical treatment, 107 underwent IR (66%). Fifty-three vs 94 patients could be included in the pre- and post-operative cohort, respectively, and were observed over a mean follow-up time of 40.2 vs 60.1 months. Sequential three-dimensional MRI-based tumor volumetry of a total of 407 MRI scans was performed to calculate pre- and postoperative TGV. RESULTS Mean preoperative TGV of 0.264 cm3/month showed significant deceleration of tumor growth to 0.085 cm3/month, 0.024 cm3/month and -0.016 cm3/month after 1st, 2nd, and 3rd IR, respectively (p < 0.001). Results remained significant after excluding patients undergoing (neo)adjuvant treatment. Resection extent showed correlation with postoperative reduction of TGV (R = 0.97, p < 0.001). ROC analysis identified a residual cut-off tumor volume > 2.03 cm3 associated with a higher risk of progress post IR (sensitivity 78,6%, specificity 76.3%, AUC 0.88). Postoperative TGV of BRAF V600E-mutant LGG was significantly higher than of BRAF wild-type LGG (0.123 cm3/month vs. 0.016 cm3/month, p = 0.047). CONCLUSION This data suggests that extensive surgical resection may impact pediatric LGG growth kinetics post incomplete resection by inducing a significant deceleration of tumor growth. BRAF-V600E mutation may be a risk factor for higher postoperative TGV.
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Affiliation(s)
- David Gorodezki
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany.
| | - Julian Zipfel
- Section of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Manon Queudeville
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
- Clinic for Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jordana Sosa
- Section of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Ursula Holzer
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Jan Kern
- Department of Neuropediatrics and Developmental Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Andrea Bevot
- Department of Neuropediatrics and Developmental Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Jens Schittenhelm
- Department of Neuropathology, Institute of Pathology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Nägele
- Department of Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Martin Ebinger
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Martin U Schuhmann
- Section of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
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28
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Muacevic A, Adler JR, Easwaran T, Vortmeyer A, Jea A, Desai V, Raskin J. Predictors of Seizure Freedom in Pediatric Low-Grade Gliomas. Cureus 2022; 14:e31915. [PMID: 36579273 PMCID: PMC9792195 DOI: 10.7759/cureus.31915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Pediatric low-grade gliomas (LGGs) are found in approximately one to three percent of patients with childhood epilepsy. Epilepsy in these patients is often medically refractory and therefore represents a unique cohort with significant morbidity from concomitant pathology. Similar studies in adult patients with low-grade gliomas have identified predictors of seizure freedom including gross-total resection, preoperative seizure control on antiepileptic medication and duration of seizures of less than one year. This study aims to identify similar predictors of seizure freedom in operatively managed pediatric LGGs. METHODS A retrospective chart review was performed for patients diagnosed with World Health Organization (WHO) Grade I and II gliomas in patients ≤18 years old at a single institution (Indiana University School of Medicine at Riley Hospital for Children in Indianapolis, IN) from 2007-2017. Infratentorial and purely intraventricular lesions were excluded. WHO classification and histologic diagnosis were based on surgical pathology. Tumor grade, location, laterality, seizure status at presentation, and AED requirements pre- and post-operatively were recorded. Chi-squared analyses for independence were performed controlling for age at presentation, resection extent, seizure type, and Engel Class for seizure freedom post-operatively. RESULTS Forty-two patients met the inclusion criteria. Preoperative seizures were observed in 23 patients (55%). Presentation with preoperative seizures was highly associated with continued seizure burden post-operatively, independent of the extent of surgical resection. Supratentorial location and the administration of prophylactic pre- and post-operative AEDs were associated with Engel Class I seizure freedom. Temporal location was not significantly associated with medically refractory epilepsy compared with extra-temporal locations. CONCLUSIONS In our cohort of pediatric LGGs, we find that patients that did not initially present with seizures and those who were treated with prophylactic pre- and post-operative AEDs, were more likely to achieve Engel Class I seizure freedom post-operatively. Tumors located in the temporal location were not significantly associated with a higher seizure burden than other supratentorial, extra-temporal tumors. Neither extent of resection nor electrocorticography-guided resection correlated with improved seizure freedom outcomes during glioma resection.
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Fahmy SA, Dawoud A, Zeinelabdeen YA, Kiriacos CJ, Daniel KA, Eltahtawy O, Abdelhalim MM, Braoudaki M, Youness RA. Molecular Engines, Therapeutic Targets, and Challenges in Pediatric Brain Tumors: A Special Emphasis on Hydrogen Sulfide and RNA-Based Nano-Delivery. Cancers (Basel) 2022; 14:5244. [PMID: 36358663 PMCID: PMC9657918 DOI: 10.3390/cancers14215244] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/20/2022] [Accepted: 10/22/2022] [Indexed: 09/11/2023] Open
Abstract
Pediatric primary brain tumors represent a real challenge in the oncology arena. Besides the psychosocial burden, brain tumors are considered one of the most difficult-to-treat malignancies due to their sophisticated cellular and molecular pathophysiology. Notwithstanding the advances in research and the substantial efforts to develop a suitable therapy, a full understanding of the molecular pathways involved in primary brain tumors is still demanded. On the other hand, the physiological nature of the blood-brain barrier (BBB) limits the efficiency of many available treatments, including molecular therapeutic approaches. Hydrogen Sulfide (H2S), as a member of the gasotransmitters family, and its synthesizing machinery have represented promising molecular targets for plentiful cancer types. However, its role in primary brain tumors, generally, and pediatric types, particularly, is barely investigated. In this review, the authors shed the light on the novel role of hydrogen sulfide (H2S) as a prominent player in pediatric brain tumor pathophysiology and its potential as a therapeutic avenue for brain tumors. In addition, the review also focuses on the challenges and opportunities of several molecular targeting approaches and proposes promising brain-delivery strategies for the sake of achieving better therapeutic results for brain tumor patients.
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Affiliation(s)
- Sherif Ashraf Fahmy
- Chemistry Department, School of Life and Medical Sciences, University of Hertfordshire Hosted by Global Academic Foundation, R5 New Capital City, Cairo 11835, Egypt
| | - Alyaa Dawoud
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
- Biochemistry Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
| | - Yousra Ahmed Zeinelabdeen
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
- Faculty of Medical Sciences/UMCG, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Caroline Joseph Kiriacos
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
| | - Kerolos Ashraf Daniel
- Biology and Biochemistry Department, School of Life and Medical Sciences, University of Hertfordshire Hosted by Global Academic Foundation, Cairo 11835, Egypt
| | - Omar Eltahtawy
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
| | - Miriam Mokhtar Abdelhalim
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
| | - Maria Braoudaki
- Clinical, Pharmaceutical, and Biological Science Department, School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK
| | - Rana A. Youness
- Molecular Genetics Research Team (MGRT), Pharmaceutical Biology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt
- Biology and Biochemistry Department, School of Life and Medical Sciences, University of Hertfordshire Hosted by Global Academic Foundation, Cairo 11835, Egypt
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Baklizi N, Raswoli M, Burges M, Moreira DC, Qaddoumi I. Torticollis as a presenting symptom of pediatric CNS tumors: A systematic review. Semin Oncol 2022; 49:419-425. [PMID: 36180292 DOI: 10.1053/j.seminoncol.2022.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022]
Abstract
To assess the frequency of torticollis as a presenting symptom of pediatric CNS tumors and its impact on pre-diagnostic symptom intervals (PSIs) and patient outcomes. We performed a systematic review of studies reporting torticollis in children with various CNS tumors. We searched PubMed for studies published from January 1972 to March 2021 in English. Case reports were included in the analysis if the following criteria were met (1) torticollis was the presenting symptom secondary to a CNS tumor (2) children <18 years of age, (3) underwent imaging intervention and (4) outcome data provided. Of 1,365 relevant articles, 45 were eligible for analysis according to our inclusion criteria representing 95 patients. Two independent investigators extracted the data, and a third investigator arbitrated discrepancies. We found that 38.9% of CNS tumors exhibited torticollis as the only presenting symptom. PSI lengths ranged from 0 to 4 years (median, 5 months) for low-grade tumors, and patient age and PSI length were inversely associated. Of patients with low-grade tumors, 23.8% received physiotherapy, in contrast with 0% of patients with high-grade tumors. PSI length also increased for patients who received rehabilitation, and 39.3% and 7.1% of patients with high-grade and low-grade tumors, respectively, died of their disease. Patients with low-grade tumors and torticollis as a primary presenting symptom were more likely to have a prolonged PSI. Therefore, CNS tumors should be considered in the differential diagnosis of acquired torticollis in children.
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Affiliation(s)
- Nadejda Baklizi
- Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Musthafa Raswoli
- Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Michala Burges
- Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Daniel C Moreira
- Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Ibrahim Qaddoumi
- Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN.
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Coutant M, Lhermitte B, Guérin E, Chammas A, Reita D, Sebastia C, Douzal V, Gabor F, Salmon A, Chenard MP, Todeschi J, Coca A, Heng MA, Vincent F, Entz-Werlé N. Retrospective and integrative analyses of molecular characteristics and their specific imaging parameters in pediatric grade 1 gliomas. Pediatr Blood Cancer 2022; 69:e29575. [PMID: 35373885 DOI: 10.1002/pbc.29575] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 12/20/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Pediatric low-grade gliomas (PLGG) are the most common brain tumors diagnosed during childhood and represent a heterogeneous group associating variable molecular abnormalities. To go further and develop specific statistical patterns between tumor molecular background, imaging features, and patient outcome, a retrospective study was performed in a group of non-neurofibromatosis type 1 (non-NF1) grade 1 PLGGs. PATIENTS AND METHODS Seventy-eight children, followed from 2004 to 2017, were retrospectively reported. In this population, we analyzed radiological and molecular parameters. Their therapeutic management comprised surgery or surgery plus chemotherapies. RESULTS Considering all 78 patients, 59 had only a surgical removal and 19 patients were treated with postoperative chemotherapy. Twelve progressions were reported in the partially resected and chemotherapeutic groups, whereas four deaths occurred only in the highly treated patients. As expected, in the global cohort, PLGG with BRAF p.V600E and/or CDKN2A loss exhibited poor outcomes and we evidenced significant associations between those molecular characteristics and their imaging presentation. In the chemo-treated patients, when associating initial and 6-month magnetic resonance imaging (MRI) parameters to the molecular features, the good risk situations were significantly linked to the presence of a large tumor cyst at diagnosis and the appearance during treatment of a higher cystic proportion that we called cystic conversion. CONCLUSION So, additionally to the presence of BRAF p.V600E or CDKN2A deletion in grade 1 PLGGs, the absence on diagnostic MRI of cystic parts and/or cystic conversion at 6-month chemotherapy were significantly linked to a worst prognosis and response to treatment. These imaging features should be considered as prognostic markers in future PLGG studies.
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Affiliation(s)
- Marie Coutant
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Benoit Lhermitte
- Pathology Department, University Hospital of Strasbourg, Strasbourg, France
| | - Eric Guérin
- Laboratory of Biochemistry, University Hospital of Strasbourg, Strasbourg, France.,Molecular Genetics of Cancer Platform, University Hospital of Strasbourg, Strasbourg, France
| | - Agathe Chammas
- Radiology Department, Pediatric Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Damien Reita
- Laboratory of Biochemistry, University Hospital of Strasbourg, Strasbourg, France.,Molecular Genetics of Cancer Platform, University Hospital of Strasbourg, Strasbourg, France
| | - Consuelo Sebastia
- Radiology Department, Pediatric Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Valérie Douzal
- Radiology Department, Pediatric Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Flaviu Gabor
- Radiology Department, Pediatric Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Alexandra Salmon
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Marie-Pierre Chenard
- Pathology Department, University Hospital of Strasbourg, Strasbourg, France.,Centre de Ressources Biologiques, University Hospital of Strasbourg, Strasbourg, France
| | - Julien Todeschi
- Neurosurgery Department, University Hospital of Strasbourg, Strasbourg, France
| | - Andres Coca
- Neurosurgery Department, University Hospital of Strasbourg, Strasbourg, France
| | - Marie-Amelie Heng
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Florence Vincent
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Natacha Entz-Werlé
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, Strasbourg, France.,UMR CNRS 7021, Laboratory of Bioimaging and Pathologies, Tumoral signaling and Therapeutic Targets, Faculty of Pharmacy, Illkirch, France
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Trasolini A, Erker C, Cheng S, Crowell C, McFadden K, Moineddin R, Sargent MA, Mata-Mbemba D. MR Imaging of Pediatric Low-Grade Gliomas: Pretherapeutic Differentiation of BRAF V600E Mutation, BRAF Fusion, and Wild-Type Tumors in Patients without Neurofibromatosis-1. AJNR Am J Neuroradiol 2022; 43:1196-1201. [PMID: 35863783 PMCID: PMC9575425 DOI: 10.3174/ajnr.a7574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/24/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The prognosis and treatment of pediatric low-grade gliomas is influenced by their molecular subtype. MR imaging remains the mainstay for initial work-up and surgical planning. We aimed to determine the relationship between imaging patterns and molecular subtypes of pediatric low-grade gliomas. MATERIALS AND METHODS This was a retrospective bi-institutional study for patients diagnosed from 2004 to 2021 with pathologically confirmed pediatric low-grade gliomas molecularly defined as BRAF fusion, BRAF V600E mutant, or wild-type (which is neither BRAF V600E mutant nor BRAF fusion). Two neuroradiologists, blinded, independently reviewed imaging parameters from diagnostic MRIs, and discrepancies were resolved by consensus. Bivariate analysis was used followed by pair-wise comparison of the Dwass-Steel-Critchlow-Fligner method to compare the 3 molecular subtypes. Interreader agreement was assessed using κ. RESULTS We included 70 patients: 30 BRAF fusion, 19 BRAF V600E mutant, and 21 wild-type. There was substantial agreement between the readers for overall imaging variables (κ = 0.75). BRAF fusion tumors compared with BRAF V600E and wild-type tumors were larger (P = .0022), and had a greater mass effect (P = .0053), increased frequency of hydrocephalus (P = .0002), and diffuse enhancement (p <.0001). BRAF V600E mutant tumors were more often hemispheric (P < .0001), appeared more infiltrative (P = .0002), and, though infrequent, were the only group demonstrating diffusion restriction (qualitatively; P = .0042) with a lower ADC ratio (quantitatively) (P = .003). CONCLUSIONS BRAF fusion and BRAF V600E mutant pediatric low-grade gliomas have unique imaging features that can be used to differentiate them from each other and wild-type pediatric low-grade glioma using a standard radiology review with high interreader agreement. In the era of targeted therapy, these features can be useful for therapeutic planning before surgery.
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Affiliation(s)
- A Trasolini
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Dalhousie University Medical School (A.T.), Halifax, Nova Scotia, Canada
| | - C Erker
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Departments of Pediatrics (C.E.)
| | - S Cheng
- Division of Hematology, Oncology, and Bone Marrow Transplant (S.C.), Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Crowell
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Faculty of Science (C.C.), Dalhousie University, Halifax, Nova Scotia, Canada
| | - K McFadden
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Pathology (K.M.)
| | - R Moineddin
- University of Toronto Dalla Lana School of Public Health (R.M.), Toronto, Ontario, Canada
| | - M A Sargent
- Department of Radiology (M.A.S.), British Columbia Children's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - D Mata-Mbemba
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Diagnostic Radiology (D.M.-M.)
- Department of Diagnostic Imaging (D.M.-M.), IWK Health Centre, Halifax, Nova Scotia, Canada
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Del Baldo G, Cacchione A, Dell'Anna VA, Merli P, Colafati GS, Marrazzo A, Rossi S, Giovannoni I, Barresi S, Deodati A, Valente P, Ferretti E, Capece M, Mastronuzzi A, Carai A. Rethinking the Management of Optic Pathway Gliomas: A Single Center Experience. Front Surg 2022; 9:890875. [PMID: 35784925 PMCID: PMC9243477 DOI: 10.3389/fsurg.2022.890875] [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: 03/06/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background Optic pathway gliomas (OPGs) are rare neoplasms in children with an unpredictable clinical course. Approximately 15% of OPGs occur in patients affected by neurofibromatosis type 1 (NF1): the clinical course of these cases is more indolently than sporadic ones, and NF1 patients less frequently require treatment including surgery. Instead, over 90% of sporadic OPGs require one or more therapeutic approaches. The management of OPG is controversial. They are also characterized by a high risk of morbidity including hypothalamic damage, endocrine deficits, visual deficit and/or neurological impairment. Materials and Methods In this paper, we evaluated visual and endocrinological outcomes of a population of OPG followed at our center from 2013 to 2021, with a particular emphasis on the role of surgery. Results Twenty-six patients were included in this study (mean age of 40.7 months). Tumor location on imaging was described by the Dodge classification. Five cases had NF 1. Thirteen cases received biopsy and 13 were partially resected. Histopathology revealed 19 cases of pilocytic astrocytomas, 2 pilomyxoid astrocytoma and 5 ganglioglioma. All the patients required a post-surgical adjuvant treatment according to current indications for low-grade gliomas. Molecular studies (BRAF status and mTOR/pmTOR pathway) have been performed in 24/26 patients, following for the use of target therapy in 11 of these patients. In our study we found that patients underwent biopsy have a better visual and endocrinological outcomes rather than patients with a tumor debulking. The five-year overall survival rate is 98% with a mean follow-up of 60 months. Conclusions Many children with OPGs survive with a residual tumor. They suffer from chronic diseases such as endocrine dysfunction, visual disturbance, motor deficits and poor quality of life. All patients need comprehensive diagnostic work-up including neuroimaging, clinical evaluations and neuropathology approach; at the same time, they need therapeutic decisions and concepts for the choice of timing and type of neurosurgical intervention, chemotherapy and target therapy as well as surveillance and rehabilitation to maximize survival and overall functional outcomes. Our study showed that minimal invasive surgery with the purpose of molecular characterization of the tumor is desirable to reduce morbidity correlate to surgery.
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Affiliation(s)
- Giada Del Baldo
- Department of Pediatric Haematology and Oncology, and Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonella Cacchione
- Department of Pediatric Haematology and Oncology, and Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Vito Andrea Dell'Anna
- Department of Pediatric Haematology and Oncology, and Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Pietro Merli
- Department of Pediatric Haematology and Oncology, and Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giovanna Stefania Colafati
- Oncological Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonio Marrazzo
- Radiology and Neuro-radiology Unit, Ospedale Santissima Annunziata, Taranto, Italy
| | - Sabrina Rossi
- Pathology Unit, Department of Laboratories, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Isabella Giovannoni
- Pathology Unit, Department of Laboratories, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Sabina Barresi
- Pathology Unit, Department of Laboratories, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Annalisa Deodati
- University Pediatric Hospital Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Paola Valente
- Ophthalmology Department, Bambino Gesu' Children's Hospital, IRCCS, Rome, Italy
| | | | - Mara Capece
- Department of Neurosurgery, Università Politecnica delle Marche, Ancona, Italy
| | - Angela Mastronuzzi
- Department of Pediatric Haematology and Oncology, and Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea Carai
- Department of Neurosciences, Neurosurgery Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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Papadimitriou K, Cossu G, Hewer E, Diezi M, Daniel RT, Messerer M. Endoscope-Assisted Extreme Lateral Supracerebellar Infratentorial Approach for Resection of Superior Cerebellar Peduncle Pilocytic Astrocytoma: Technical Note. CHILDREN 2022; 9:children9050640. [PMID: 35626817 PMCID: PMC9140165 DOI: 10.3390/children9050640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/23/2022] [Accepted: 04/26/2022] [Indexed: 11/29/2022]
Abstract
(1) Background: Superior cerebellar peduncle (SCP) lesions are sparsely reported in the literature. The surgical approaches to the cerebello-mesencephalic region remain challenging. In this article, we present the extreme lateral supracerebellar infratentorial (ELSI) approach to treat a large hemorrhagic pilocytic astrocytoma of the SCP. (2) Methods: An 11-year-old boy, known for neurofibromatosis Type I, presented to the emergency department of our institution with symptoms and signs of intracranial hypertension. The cerebral magnetic resonance imaging (MRI) revealed a large hemorrhagic lesion centered on the SCP provoking obstructive hydrocephalus. Following an emergency endoscopic third ventriculocisternostomy (ETV), he underwent a tumor resection via an endoscope-assisted ELSI approach. (3) Results: ELSI approach allows for a wide exposure with direct access to lesions of the SCP. The post-operative course was uneventful, and the patient was discharged home on post-operative day 5. Post-operative MRI revealed a near total resection with a small residual tumor within the mesencephalon. (4) Conclusion: ELSI approach offers an excellent exposure with the surgical angles necessary for median and paramedian lesions. The park-bench position with appropriate head flexion and rotation offers a gravity-assisted relaxation of the tentorial and petrosal cerebellar surfaces. The endoscope can be an adjunct to illuminate the blind areas of the surgical corridor for an improved tumor resection without significant cerebellar retraction.
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Affiliation(s)
- Kyriakos Papadimitriou
- Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland; (K.P.); (G.C.); (R.T.D.)
| | - Giulia Cossu
- Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland; (K.P.); (G.C.); (R.T.D.)
| | - Ekkehard Hewer
- Department of Pathology, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland;
| | - Manuel Diezi
- Hemato-Oncology Unit, Department of Pediatric, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland;
| | - Roy Thomas Daniel
- Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland; (K.P.); (G.C.); (R.T.D.)
| | - Mahmoud Messerer
- Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, 1015 Lausanne, Switzerland; (K.P.); (G.C.); (R.T.D.)
- Correspondence: ; Tel.: +41-213141111; Fax: +41-213142595
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Lutz K, Jünger ST, Messing-Jünger M. Essential Management of Pediatric Brain Tumors. CHILDREN 2022; 9:children9040498. [PMID: 35455542 PMCID: PMC9031600 DOI: 10.3390/children9040498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 02/02/2023]
Abstract
Brain tumors are the most common solid tumors in children and are associated with high mortality. The most common childhood brain tumors are grouped as low-grade gliomas (LGG), high grade gliomas (HGG), ependymomas, and embryonal tumors, according to the World Health Organization (WHO). Advances in molecular genetics have led to a shift from pure histopathological diagnosis to integrated diagnosis. For the first time, these new criteria were included in the WHO classification published in 2016 and has been further updated in the 2021 edition. Integrated diagnosis is based on molecular genomic similarities of the tumor subclasses, and it can better explain the differences in clinical courses of previously histopathologically identical entities. Important advances have also been made in pediatric neuro-oncology. A growing understanding of the molecular-genetic background of tumorigenesis has improved the diagnostic accuracy. Re-stratification of treatment protocols and the development of targeted therapies will significantly affect overall survival and quality of life. For some pediatric tumors, these advances have significantly improved therapeutic management and prognosis in certain tumor subgroups. Some therapeutic approaches also have serious long-term consequences. Therefore, optimized treatments are greatly needed. Here, we discuss the importance of multidisciplinary collaboration and the role of (pediatric) neurosurgery by briefly describing the most common childhood brain tumors and their currently recognized molecular subgroups.
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Affiliation(s)
- Katharina Lutz
- Neurosurgery Department, Inselspital, 3010 Bern, Switzerland
- Pediatric Neurosurgery, Asklepios Children’s Hospital, 53757 Sankt Augustin, Germany;
- Correspondence:
| | - Stephanie T. Jünger
- Center for Neurosurgery, Department of General Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany;
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Gray K, Avitsian R, Kakumanu S, Venkatraghavan L, Chowdhury T. The Effects of Anesthetics on Glioma Progression: A Narrative Review. J Neurosurg Anesthesiol 2022; 34:168-175. [PMID: 32658099 DOI: 10.1097/ana.0000000000000718] [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: 12/20/2019] [Accepted: 06/15/2020] [Indexed: 11/26/2022]
Abstract
There are many established factors that influence glioma progression, including patient age, grade of tumor, genetic mutations, extent of surgical resection, and chemoradiotherapy. Although the exposure time to anesthetics during glioma resection surgery is relatively brief, the hemodynamic changes involved and medications used, as well as the stress response throughout the perioperative period, may also influence postoperative outcomes in glioma patients. There are numerous studies that have demonstrated that choice of anesthesia influences non-brain cancer outcomes; of particular interest are those describing that the use of total intravenous anesthesia may yield superior outcomes compared with volatile agents in in vitro and human studies. Much remains to be discovered on the topic of anesthesia's effect on glioma progression.
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Affiliation(s)
| | - Rafi Avitsian
- Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH
| | - Saranya Kakumanu
- Department of Radiation Oncology, Cancer Care Manitoba, Winnipeg, MB
| | - Lashmi Venkatraghavan
- Department of Anesthesia and Pain Medicine, Toronto Western Hospital, Toronto, ON, Canada
| | - Tumul Chowdhury
- Department of Anesthesiology, Perioperative, and Pain Medicine, Health Sciences Center, University of Manitoba
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37
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Bale TA, Rosenblum MK. The 2021 WHO Classification of Tumors of the Central Nervous System: An update on pediatric low-grade gliomas and glioneuronal tumors. Brain Pathol 2022; 32:e13060. [PMID: 35218102 PMCID: PMC9245930 DOI: 10.1111/bpa.13060] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/09/2022] [Accepted: 02/16/2022] [Indexed: 12/13/2022] Open
Abstract
The 2021 5th edition of the WHO Classification of Tumors of the Central Nervous System reflects the discovery of genetic alterations underlying many central nervous system (CNS) neoplasms. Insights gained from technologic advances and novel applications in molecular diagnostics, including next‐generation sequencing and DNA methylation‐based profiling, coupled with the recognition of clinicopathologic correlates, have prompted substantial changes to CNS tumor classification; this is particularly true for pediatric low‐grade gliomas and glioneuronal tumors (pLGG/GNTs). The 2021 WHO now classifies gliomas, glioneuronal tumors and neuronal tumors into 6 families, three of which encompass pLGG/LGNTs: “Pediatric type diffuse low‐grade gliomas,” “circumscribed astrocytic gliomas,” and “glioneuronal and neuronal tumors.” Among these are six newly recognized tumor types: “diffuse astrocytoma, MYB or MYBL1‐altered”; “polymorphous low grade neuroepithelial tumor of the young (PLNTY)”; “diffuse low‐grade glioma‐MAPK altered”; “Diffuse glioneuronal tumor with oligodendroglioma‐like features and nuclear clusters (DGONC)”; “myxoid glioneuronal tumor (MGT)”; and “multinodular and vacuolating neuronal tumor (MVNT).” We review these newly recognized entities in the context of general changes to the WHO schema, discuss implications of the new classification for treatment of pLGG/LGNT, and consider strategies for molecular testing and interpretation.
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Affiliation(s)
- Tejus A Bale
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Marc K Rosenblum
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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38
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Cler SJ, Skidmore A, Yahanda AT, Mackey K, Rubin JB, Cluster A, Perkins S, Gauvain K, King AA, Limbrick DD, McEvoy S, Park TS, Smyth MD, Mian AY, Chicoine MR, Dahiya S, Strahle JM. Genetic and histopathological associations with outcome in pediatric pilocytic astrocytoma. J Neurosurg Pediatr 2022; 29:504-512. [PMID: 35148515 DOI: 10.3171/2021.9.peds21405] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/17/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Pilocytic astrocytomas (PAs) have a generally favorable prognosis; however, progression or recurrence after resection is possible. The prognostic value of histopathological qualifiers (defined below) or BRAF alterations is not well understood. The aim of this study was to identify the prognostic value of genetic and histopathological features of pediatric PAs. METHODS Patients treated for a WHO grade I PA at a single institution were analyzed for histopathological and genetic features and outcomes. "Histopathological qualifier" refers to designations such as "WHO grade I PA with increased proliferative index." BRAF alterations include gene fusions and point mutations. Patients with neurofibromatosis type 1 were excluded. RESULTS A total of 222 patients were analyzed (51% female, mean age 9.6 years). Tumors were located in the cerebellum/fourth ventricle (51%), optic pathway/hypothalamus (15%), brainstem (12%), and cerebral cortex (11%). BRAF alterations were screened for in 77 patients and identified in 56 (73%). Histopathological qualifiers were present in 27 patients (14%). Resection was performed in 197 patients (89%), 41 (21%) of whom displayed tumor progression or recurrence after resection. Tumor progression or recurrence was not associated with histopathologic qualifiers (p = 0.36) or BRAF alterations (p = 0.77). Ki-67 proliferative indices were not predictive of progression or recurrence (p = 0.94). BRAF alterations, specifically KIAA1549 fusions, were associated with cerebellar/fourth ventricular tumor location (p < 0.0001) and younger patient age (p = 0.03). Patients in whom gross-total resection was achieved had lower rates of progression and recurrence (p < 0.0001). CONCLUSIONS Histopathological features/qualifiers and BRAF alterations were not associated with tumor recurrence/progression in pediatric PAs. The extent of resection was the only factor analyzed that predicted outcome.
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Affiliation(s)
- Samuel J Cler
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Alexander Skidmore
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Alexander T Yahanda
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | | | - Joshua B Rubin
- 3Department of Neuroscience, Washington University School of Medicine, St. Louis.,4Department of Pediatrics, Washington University School of Medicine, Division of Hematology and Oncology, St. Louis
| | - Andrew Cluster
- 4Department of Pediatrics, Washington University School of Medicine, Division of Hematology and Oncology, St. Louis
| | - Stephanie Perkins
- 4Department of Pediatrics, Washington University School of Medicine, Division of Hematology and Oncology, St. Louis.,5Department of Radiation Oncology, Washington University School of Medicine, St. Louis
| | - Karen Gauvain
- 4Department of Pediatrics, Washington University School of Medicine, Division of Hematology and Oncology, St. Louis
| | - Allison A King
- 4Department of Pediatrics, Washington University School of Medicine, Division of Hematology and Oncology, St. Louis
| | - David D Limbrick
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Sean McEvoy
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Tae Sung Park
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Matthew D Smyth
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Ali Y Mian
- 6Department of Radiology, Washington University School of Medicine, St. Louis; and
| | - Michael R Chicoine
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Sonika Dahiya
- 7Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri
| | - Jennifer M Strahle
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
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Nelson AT, Bendel A, Skrypek M, Patel S, Tabori U, McDonald W, Schultz KAP. Leptomeningeal Dissemination of Low-Grade Neuroepithelial Tumor with FGFR1_TACC1 Fusion with Clinical and Radiographic Response to Pazopanib and Topotecan. Pediatr Neurosurg 2022; 57:63-68. [PMID: 34749374 DOI: 10.1159/000519889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 09/27/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Low-grade neuroepithelial tumors are a heterogeneous group of central nervous system tumors that are generally indolent in nature but in rare instances can progress to include leptomeningeal dissemination. CASE PRESENTATION We present a case of a patient with a low-grade neuroepithelial tumor of indeterminate type with symptomatic leptomeningeal dissemination despite 3 chemotherapy regimens and radiotherapy. Somatic targetable mutation testing showed an FGFR1_TACC1 fusion. Therapy with pazopanib/topotecan was initiated, and disease stabilization was achieved. He received pazopanib/topotecan for a total of 2 years and is now >2 years from completion of treatment and continues to do well with no evidence of disease. DISCUSSION This case highlights the utility of targetable mutation testing in therapeutic decision-making and the novel use of systemic pazopanib/topotecan therapy for refractory low-grade neuroepithelial tumor within the context of this clinical situation and specific mutation profile.
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Affiliation(s)
- Alexander T Nelson
- International Pleuropulmonary Blastoma/DICER1 Registry, Children's Minnesota, Minneapolis, Minnesota, USA, .,Cancer and Blood Disorders, Children's Minnesota, Minneapolis, Minnesota, USA,
| | - Anne Bendel
- Cancer and Blood Disorders, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Maggie Skrypek
- Cancer and Blood Disorders, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Sachin Patel
- Department of Radiology, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Uri Tabori
- Department of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - William McDonald
- Department of Pathology, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA
| | - Kris Ann P Schultz
- International Pleuropulmonary Blastoma/DICER1 Registry, Children's Minnesota, Minneapolis, Minnesota, USA.,Cancer and Blood Disorders, Children's Minnesota, Minneapolis, Minnesota, USA
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40
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Blauel ER, Laetsch TW. The promise of TRK inhibitors in pediatric cancers with NTRK fusions. Cancer Genet 2022; 262-263:71-79. [PMID: 35108663 DOI: 10.1016/j.cancergen.2022.01.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/01/2021] [Accepted: 01/20/2022] [Indexed: 11/02/2022]
Abstract
NTRK fusions are rare oncogenic drivers that occur across a range of pediatric cancers. These include infantile fibrosarcoma and secretory breast cancer in which such fusions are nearly pathognomonic, and a spectrum of more common pediatric cancers in which NTRK fusions occur at a lower frequency. Within the last 5 years, two TRK inhibitors, larotrectinib and entrectinib, have demonstrated histology-agnostic activity against NTRK fusion driven cancers and achieved FDA approval. Here the data supporting the use of these TRK inhibitors for the treatment of cancers harboring NTRK fusions is reviewed, with a particular focus on the pediatric experience. Mechanisms of acquired resistance to these first generation TRK inhibitors are discussed and investigational second generation TRK inhibitors that may overcome some of these mechanisms of resistance are highlighted.
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41
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Hamimed M, Gattacceca F, André N, Tresch-Bruneel E, Probst A, Chastagner P, Pagnier A, De Carli E, Entz-Werlé N, Grill J, Aerts I, Frappaz D, Bertozzi-Salamon AI, Solas C, Leblond P. Pharmacokinetics of oral vinorelbine in French children with recurrent or progressive primary low-grade glioma. Br J Clin Pharmacol 2021; 88:2096-2117. [PMID: 34709655 DOI: 10.1111/bcp.15131] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/29/2021] [Accepted: 10/21/2021] [Indexed: 11/30/2022] Open
Abstract
AIM There is a crucial need for pharmacokinetic (PK) data of oral vinorelbine (VNR) in pediatric population. The aim of this work was to assess the PK profile of orally administered VNR in children with recurrent/progressive primary low-grade glioma (LGG). METHODS A multicentric, open-label, single-arm intervention phase II study was conducted. Patients, aged between 6 and 18 years, with histologically confirmed recurrent or progressive primary LGG or non-documented typical optic pathway tumors, were included. PK parameters were estimated by non-compartmental analysis using Phoenix WinNonlin® software (version 8.0, Certara, Inc.). The Influence of demographic and biological covariates on VNR PK parameters was investigated using a multivariate linear regression analysis. RESULTS PK analysis included 36 patients with a median age (range) of 11 (6-17) years. Estimates of apparent oral clearance (CL/F), apparent volume of distribution (V/F), half-life (t1/2 ) and their between-subject variability (CV%) at 60 mg.m-2 dose level, were 472 L.h-1 (51.8%), 7002 L (57.9%) and 10 h (21.0%), respectively. Negligible accumulation of VNR between C1 and C2 was observed. CL/F and V/F were found to increase with body surface area (BSA) (p = 0.004). Lower area under the concentration-time curve (AUC) levels were observed among children in comparison to adults. CONCLUSION Higher doses may be necessary for children with LGG. BSA showed a significant impact on VNR systemic exposure. We believe that our findings will serve as a basis for further studies to better characterize the concentration-response relationships of VNR among pediatric patients.
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Affiliation(s)
- Mourad Hamimed
- SMARTc Unit, Cancer Research Center of Marseille, Inserm U1068 - CNRS UMR 7258 - Aix-Marseille University U105, Marseille, France.,Inria - Inserm COMPO team, Centre Inria Sophia Antipolis - Méditerranée, Inserm U1068 - CNRS UMR 7258 - Aix-Marseille University U105, Marseille, France
| | - Florence Gattacceca
- SMARTc Unit, Cancer Research Center of Marseille, Inserm U1068 - CNRS UMR 7258 - Aix-Marseille University U105, Marseille, France.,Inria - Inserm COMPO team, Centre Inria Sophia Antipolis - Méditerranée, Inserm U1068 - CNRS UMR 7258 - Aix-Marseille University U105, Marseille, France
| | - Nicolas André
- SMARTc Unit, Cancer Research Center of Marseille, Inserm U1068 - CNRS UMR 7258 - Aix-Marseille University U105, Marseille, France.,Department of Pediatric Oncology, La Timone University Hospital of Marseille, APHM, Marseille, France
| | | | - Alicia Probst
- Département de la Recherche Clinique et Innovation,Oscar Lambret Cancer Center, Lille, France
| | - Pascal Chastagner
- Service d'hémato-oncologie pédiatrique, Nancy University Hospital, Nancy, France
| | - Anne Pagnier
- Service d'hémato-oncologie pédiatrique, Grenoble University Hospital, Grenoble, France
| | - Emilie De Carli
- Service d'hémato-oncologie pédiatrique, Angers University Hospital, Angers, France
| | - Natacha Entz-Werlé
- Pédiatrie Onco-Hématologie Université de Strasbourg, CHRU Hautepierre- - UMR CNRS 7021, Strasbourg, France
| | - Jacques Grill
- Département de Cancérologie de l'Enfant et de l'Adolescent et UMR CNRS 8203 Université Paris Saclay, Gustave Roussy, Villejuif, France
| | - Isabelle Aerts
- SIREDO Centre (Care, innovation and research in paediatric, adolescent and young adult oncology), Institut Curie- Oncology Center, Paris, France
| | - Didier Frappaz
- Institute of Pediatric Hematology and Oncology IHOPe, Léon Bérard Cancer Center, Lyon, France
| | | | - Caroline Solas
- Unité des Virus Émergents (UVE), Aix-Marseille Univ-IRD 190-Inserm 1207, Marseille, France.,Clinical Pharmacokinetics and Toxicology Laboratory, La Timone University Hospital of Marseille, APHM, Marseille, France
| | - Pierre Leblond
- Institute of Pediatric Hematology and Oncology IHOPe, Léon Bérard Cancer Center, Lyon, France.,Department of Pediatric Oncology, Oscar Lambret Cancer Center, Lille, France
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Cacchione A, Lodi M, Carai A, Miele E, Tartaglia M, Megaro G, Del Baldo G, Alessi I, Colafati GS, Carboni A, Boccuto L, Diomedi Camassei F, Catanzaro G, Po A, Ferretti E, Pedace L, Pizzi S, Folgiero V, Pezzullo M, Corsetti T, Secco DE, Cefalo MG, Locatelli F, Mastronuzzi A. Upfront treatment with mTOR inhibitor everolimus in pediatric low-grade gliomas: A single-center experience. Int J Cancer 2021; 148:2522-2534. [PMID: 33320972 DOI: 10.1002/ijc.33438] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 10/28/2020] [Accepted: 11/05/2020] [Indexed: 12/22/2022]
Abstract
Pediatric low-grade gliomas (pLGGs) are the most frequent brain tumor in children. Adjuvant treatment, consisting in chemotherapy and radiotherapy, is often necessary if a complete surgical resection cannot be obtained. Traditional treatment approaches result in a significant long-term morbidity, with a detrimental impact on quality of life. Dysregulation of the mitogen-activated protein kinase (MAPK) pathway is the molecular hallmark of pLGGs and hyperactivation of the downstream mammalian target of rapamycin (mTOR) pathway is frequently observed. We report clinical and radiological results of front-line treatment with everolimus in 10 consecutive patients diagnosed with m-TOR positive pLGGs at the Bambino Gesù Children's Hospital in Rome, Italy. Median duration of treatment was 19 months (range from 13-60). Brain magnetic resonance imaging showed stable disease in 7 patients, partial response in 1 and disease progression in 2. Therapy-related adverse events were always reversible after dose reduction or temporary treatment interruption. To the best of our knowledge, this is the first report of everolimus treatment for chemo- and radiotherapy-naïve children with pLGG. Our results provide preliminary support, despite low sample size, for the use of everolimus as target therapy in pLGG showing lack of progression with a manageable toxicity profile.
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Affiliation(s)
- Antonella Cacchione
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Mariachiara Lodi
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea Carai
- Neurosurgery Unit, Department of Neuroscience, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Evelina Miele
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giacomina Megaro
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giada Del Baldo
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Iside Alessi
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | | | - Alessia Carboni
- Neuroradiology Unit, Department of Imaging, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Luigi Boccuto
- School of Nursing, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, South Carolina, USA
- JC Self Research Institute of the Greenwood Genetic Center, Greenwood, South Carolina, USA
| | | | | | - Agnese Po
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | | | - Lucia Pedace
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Simone Pizzi
- Genetics and Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Valentina Folgiero
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Marco Pezzullo
- Research Laboratories, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Tiziana Corsetti
- Hospital Pharmacy Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Domitilla Elena Secco
- PsD of Department of Paediatric Haematology/Oncology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Maria Giuseppina Cefalo
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Franco Locatelli
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- Sapienza University of Rome, Italy
| | - Angela Mastronuzzi
- Department of Paediatric Haematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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43
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Patterns of care for pediatric patients with newly-diagnosed grade II gliomas. Childs Nerv Syst 2021; 37:1563-1572. [PMID: 33404712 DOI: 10.1007/s00381-020-05002-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/03/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE We describe large-scale demographic, initial treatment, and outcomes data for pediatric grade II gliomas included in the National Cancer Database from 2004 to 2014. METHODS Our cohort included cases less than 21 years of age with pathology-confirmed disease. Logistic regressions were used to evaluate the use of chemotherapy (CT) and radiation therapy (RT). Overall survival (OS) rates were determined using Kaplan-Meier estimates and the log-rank test. RESULTS We identified 803 cases with astrocytoma (56.2%), oligodendroglioma (26.0%), and mixed glioma/glioma NOS (17.8%) histologies. Most cases underwent surgical resection (n = 661). Whereas cases 16 to 21 years of age were more likely than cases 0 to 5 years to receive RT (OR = 7.38, 95% CI 3.58-15.21, p < 0.001), they were less likely to receive CT (OR = 0.34, 95% CI 0.22-0.52, p < 0.001). The 5-year OS rates for all cases, cases that underwent surgical resection, and cases managed with biopsy were 87.5%, 92.7%, and 63.6%, respectively. CONCLUSION In one of the largest series of pediatric grade II gliomas, astrocytoma was the most common histology. Patterns of care and OS outcomes were similar to grade I gliomas, with surgical resection being the most common initial treatment and associated with a favorable rate of OS. Younger patients were more likely to receive post-operative CT and the use of RT increased with age.
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Trunin YY, Golanov AV, Konovalov AN, Pronin IN, Zagirov RI, Ryzhova MV, Kadyrov SU, Igoshina EN. [Stereotactic irradiation in the complex treatment of patients with intracranial pilocytic astrocytoma]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2021; 85:34-46. [PMID: 33864667 DOI: 10.17116/neiro20218502134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Complex management of patients with intracranial pilocytic astrocytoma (PA) consists of surgical treatment, drug therapy (mainly in young children) and radiotherapy. For many years, radiotherapy (RT) has been a standard for residual tumors, recurrence or continued growth of PA. Currently, stereotactic radiosurgery and radiotherapy are preferred for PA, because these procedures are characterized by high conformity and selectivity, precise irradiation of tumor with minimal damage to surrounding intact tissues. Stereotaxic approach is very important since PAs are localized near functionally significant and radiosensitive brain structures in most cases. There is significant experience of single-center studies devoted to radiotherapy of patients with PA at the Department of Neuroradiosurgery of the Burdenko Neurosurgery Center. In this research, the authors analyzed the results of stereotactic irradiation of 430 patients with PA for the period from 2005 to 2018.
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Affiliation(s)
| | - A V Golanov
- Burdenko Neurosurgical Center, Moscow, Russia
| | | | - I N Pronin
- Burdenko Neurosurgical Center, Moscow, Russia
| | - R I Zagirov
- Burdenko Neurosurgical Center, Moscow, Russia
| | - M V Ryzhova
- Burdenko Neurosurgical Center, Moscow, Russia
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45
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Current Salvage Treatment Strategies for Younger Children (<10 y of Age) With Progressive Low-grade Glioma After Initial Chemotherapy in North America: A Web-based Survey. J Pediatr Hematol Oncol 2021; 43:e141-e145. [PMID: 33235141 DOI: 10.1097/mph.0000000000002017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Pediatric low-grade gliomas (LGGs) are the most common brain tumors in children. Treatment of pediatric LGG can often be challenging, particularly when not resectable and refractory or recurrent following standard chemotherapy regimens. There is no current accepted standard of care salvage regimen for progressive LGG after the failure of first-line chemotherapy. A web-based survey was distributed to pediatric cancer centers throughout North America to inquire regarding institutional preferences of salvage treatment strategies after initial chemotherapy for LGG in children less than 10 years of age, as well as molecular testing preferences. Highlights from the survey results were as follows: vincristine/carboplatin (VC) and vinblastine (VBL) were the top 2 preferred salvage regimens for non-BRAF-altered pediatric LGG. BRAF and MEK inhibitors were the most preferred salvage regimens for BRAF V600e-mutated and BRAF fusion-positive pediatric LGG, respectively. VC ranked second. As high as 47.8% of North American centers would use conformal radiation for younger children with non-neurofibromatosis type 1 LGG after failing 2 to 3 chemotherapy regimens. Overall, 87% (87%) of North American institutions obtain some type of routine molecular testing for non-neurofibromatosis type 1-associated pediatric LGG cases. Less than 60% of centers obtain routine H3 K27M molecular testing for pediatric LGG with a midline location.
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Ardizzone A, Scuderi SA, Giuffrida D, Colarossi C, Puglisi C, Campolo M, Cuzzocrea S, Esposito E, Paterniti I. Role of Fibroblast Growth Factors Receptors (FGFRs) in Brain Tumors, Focus on Astrocytoma and Glioblastoma. Cancers (Basel) 2020; 12:E3825. [PMID: 33352931 PMCID: PMC7766440 DOI: 10.3390/cancers12123825] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 12/11/2020] [Accepted: 12/16/2020] [Indexed: 12/21/2022] Open
Abstract
Despite pharmacological treatments and surgical practice options, the mortality rate of astrocytomas and glioblastomas remains high, thus representing a medical emergency for which it is necessary to find new therapeutic strategies. Fibroblast growth factors (FGFs) act through their associated receptors (FGFRs), a family of tyrosine kinase receptors consisting of four members (FGFR1-4), regulators of tissue development and repair. In particular, FGFRs play an important role in cell proliferation, survival, and migration, as well as angiogenesis, thus their gene alteration is certainly related to the development of the most common diseases, including cancer. FGFRs are subjected to multiple somatic aberrations such as chromosomal amplification of FGFR1; mutations and multiple dysregulations of FGFR2; and mutations, translocations, and significant amplifications of FGFR3 and FGFR4 that correlate to oncogenesis process. Therefore, the in-depth study of these receptor systems could help to understand the etiology of both astrocytoma and glioblastoma so as to achieve notable advances in more effective target therapies. Furthermore, the discovery of FGFR inhibitors revealed how these biological compounds improve the neoplastic condition by demonstrating efficacy and safety. On this basis, this review focuses on the role and involvement of FGFRs in brain tumors such as astrocytoma and glioblastoma.
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Affiliation(s)
- Alessio Ardizzone
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
| | - Sarah A. Scuderi
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
| | - Dario Giuffrida
- Istituto Oncologico del Mediterraneo, Via Penninazzo 7, 95029 Viagrande (CT), Italy; (D.G.); (C.C.)
| | - Cristina Colarossi
- Istituto Oncologico del Mediterraneo, Via Penninazzo 7, 95029 Viagrande (CT), Italy; (D.G.); (C.C.)
| | - Caterina Puglisi
- IOM Ricerca Srl, Via Penninazzo 11, 95029 Viagrande (CT), Italy;
| | - Michela Campolo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
| | - Salvatore Cuzzocrea
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
| | - Emanuela Esposito
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
| | - Irene Paterniti
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d’Alcontres, 98166 Messina, Italy; (A.A.); (S.A.S.); (M.C.); (S.C.); (E.E.)
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Ney GM, McKay L, Koschmann C, Mody R, Li Q. The Emerging Role of Ras Pathway Signaling in Pediatric Cancer. Cancer Res 2020; 80:5155-5163. [PMID: 32907837 PMCID: PMC10081825 DOI: 10.1158/0008-5472.can-20-0916] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 08/04/2020] [Accepted: 09/02/2020] [Indexed: 11/16/2022]
Abstract
As genomic sequencing has become more widely available, the high prevalence of Ras pathway mutations in pediatric diseases has begun to emerge. Germline Ras-activating mutations have been known to contribute to cancer predisposition in a group of disorders known as the RASopathies, and now large pediatric sequencing studies have identified frequent somatic Ras pathway alterations across a diverse group of pediatric malignancies. These include glial brain tumors, relapsed high-risk neuroblastoma, embryonal rhabdomyosarcoma, acute myeloid leukemia, and relapsed acute lymphoblastic leukemia, and their prognostic impact is becoming increasingly better understood. Clinically, there has been success in targeting the Ras pathway in pediatric diseases, including the use of MEK inhibitors in plexiform neurofibromas associated with neurofibromatosis type 1 and the use of Ras pathway inhibitors in low-grade gliomas. Given the importance of this pathway in pediatric cancer, it is imperative that future studies strive to better understand the functional significance of these mutations, including their role in tumor growth and treatment resistance and how they can be better targeted to improve outcomes.
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Affiliation(s)
- Gina M Ney
- Department of Pediatrics, University of Michigan, Ann Arbor, MI.
| | - Laura McKay
- Department of Pediatrics, University of Michigan, Ann Arbor, MI
| | - Carl Koschmann
- Department of Pediatrics, University of Michigan, Ann Arbor, MI
| | - Rajen Mody
- Department of Pediatrics, University of Michigan, Ann Arbor, MI
| | - Qing Li
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI
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48
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Peterson RK, McKeown T, Tabori U, Bartels U, Bouffet E, Janzen L. Neuropsychological impact of trametinib in pediatric low-grade glioma: A case series. Pediatr Blood Cancer 2020; 67:e28690. [PMID: 32930446 DOI: 10.1002/pbc.28690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Clinical trials of MEK inhibitors are underway in pediatric low-grade glioma (PLGG) with BRAF oncogene mutations and recurrent/refractory disease. Cognitive and behavioral impacts of MEK inhibitors, such as trametinib, are unknown as these outcomes have not yet been studied. This case series compared cognition and behavior in eight PLGG cases prior to and while on treatment with trametinib compared to four PLGG controls. Intelligence in the trametinib cases was mainly unchanged while on treatment, with mild decline in one of seven cases with complete data. Parent-reported depression symptoms increased in five of eight trametinib cases relative to one of four controls.
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Affiliation(s)
- Rachel K Peterson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland
| | - Tara McKeown
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Uri Tabori
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ute Bartels
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Eric Bouffet
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Laura Janzen
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Psychology, The Hospital for Sick Children, Toronto, Ontario, Canada
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Prasad H, Kumar R, Faheem M. Midline Astrocytic Tumors in Children: A Retrospective Study of 152 Cases. JOURNAL OF PEDIATRIC NEUROLOGY 2020. [DOI: 10.1055/s-0040-1721023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
AbstractThe aim of this study was to analyze the various midline structures having preponderance for astrocytoma, their incidence, clinical features, operative approach, prognosis, and outcomes in children. It is a retrospective analysis of 152 cases with midline astrocytic tumors in children admitted between January 1995 and December 2012 in the Department of Neurosurgery at Sanjay Gandhi Postgraduate Institute of Medical sciences Lucknow, India. The mean age of the cases with midline astrocytic tumors was 9.29 ± 4.56 years. Majority of these tumors occurred in the age group of 6 to 10 years (n = 58, 38.16%), with male to female ratio being 1.66:1. Out of 152 cases, tumors located at midline cerebellum constituted majority of the cases (n = 38, 25%) followed by brain stem (n = 28, 18.42%), thalamic region (n = 24, 15.79%), corpus callosum (n = 18, 11.82%), pineal region (n = 12, 7.89%), optic nerve (n = 12, 7.89%), chiasmo-hypothalamic (n = 10, 6.58%), and septum pellucidum astrocytomas (n = 10, 6.58%). Majority of these tumors were of low-grade type (n = 136, 89.47%), and pilocytic astrocytomas were the commonest subtypes. Out of 152 cases, 136 (89.47%) cases had improved outcomes, 8 (5.26%) remained as they were in preoperative state, and mortality was seen in 8 (5.26%) of the cases at 3 to 77 months (mean 26.70 ± 9.70) of follow-up. Midline structures having preponderance for astrocytomas were midline cerebellum, brain stem, thalamus, corpus callosum, pineal region, optic nerve, chiasmo-hypothalamic, and septum pellucidum. Cerebellum was the commonest site. Most of these astrocytomas were of low grade with pilocytic astrocytoma being the commonest subtype. With meticulous presurgical planning, most of these tumors have good outcome with significant reduction in mortality and morbidity.
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Affiliation(s)
- Hanuman Prasad
- Department of Neurosurgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
| | - Raj Kumar
- Department of Neurosurgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
| | - Mohd Faheem
- Department of Neurosurgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
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Bahmad HF, Elajami MK, El Zarif T, Bou-Gharios J, Abou-Antoun T, Abou-Kheir W. Drug repurposing towards targeting cancer stem cells in pediatric brain tumors. Cancer Metastasis Rev 2020; 39:127-148. [PMID: 31919619 DOI: 10.1007/s10555-019-09840-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In the pediatric population, brain tumors represent the most commonly diagnosed solid neoplasms and the leading cause of cancer-related deaths globally. They include low-grade gliomas (LGGs), medulloblastomas (MBs), and other embryonal, ependymal, and neuroectodermal tumors. The mainstay of treatment for most brain tumors includes surgical intervention, radiation therapy, and chemotherapy. However, resistance to conventional therapy is widespread, which contributes to the high mortality rates reported and lack of improvement in patient survival despite advancement in therapeutic research. This has been attributed to the presence of a subpopulation of cells, known as cancer stem cells (CSCs), which reside within the tumor bulk and maintain self-renewal and recurrence potential of the tumor. An emerging promising approach that enables identifying novel therapeutic strategies to target CSCs and overcome therapy resistance is drug repurposing or repositioning. This is based on using previously approved drugs with known pharmacokinetic and pharmacodynamic characteristics for indications other than their traditional ones, like cancer. In this review, we provide a synopsis of the drug repurposing methodologies that have been used in pediatric brain tumors, and we argue how this selective compilation of approaches, with a focus on CSC targeting, could elevate drug repurposing to the next level.
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Affiliation(s)
- Hisham F Bahmad
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, DTS Bldg, Room 116-B, Beirut, Lebanon
| | - Mohamad K Elajami
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, DTS Bldg, Room 116-B, Beirut, Lebanon
| | - Talal El Zarif
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, DTS Bldg, Room 116-B, Beirut, Lebanon
| | - Jolie Bou-Gharios
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, DTS Bldg, Room 116-B, Beirut, Lebanon
| | - Tamara Abou-Antoun
- School of Pharmacy, Department of Pharmaceutical Sciences, Lebanese American University, Byblos Campus, CHSC 6101, Byblos, Lebanon.
| | - Wassim Abou-Kheir
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, DTS Bldg, Room 116-B, Beirut, Lebanon.
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