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Pons-Escoda A, Naval-Baudin P, Viveros M, Flores-Casaperalta S, Martinez-Zalacaín I, Plans G, Vidal N, Cos M, Majos C. DSC-PWI presurgical differentiation of grade 4 astrocytoma and glioblastoma in young adults: rCBV percentile analysis across enhancing and non-enhancing regions. Neuroradiology 2024:10.1007/s00234-024-03385-0. [PMID: 38834877 DOI: 10.1007/s00234-024-03385-0] [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: 12/14/2023] [Accepted: 05/29/2024] [Indexed: 06/06/2024]
Abstract
PURPOSE The presurgical discrimination of IDH-mutant astrocytoma grade 4 from IDH-wildtype glioblastoma is crucial for patient management, especially in younger adults, aiding in prognostic assessment, guiding molecular diagnostics and surgical planning, and identifying candidates for IDH-targeted trials. Despite its potential, the full capabilities of DSC-PWI remain underexplored. This research evaluates the differentiation ability of relative-cerebral-blood-volume (rCBV) percentile values for the enhancing and non-enhancing tumor regions compared to the more commonly used mean or maximum preselected rCBV values. METHODS This retrospective study, spanning 2016-2023, included patients under 55 years (age threshold based on World Health Organization recommendations) with grade 4 astrocytic tumors and known IDH status, who underwent presurgical MR with DSC-PWI. Enhancing and non-enhancing regions were 3D-segmented to calculate voxel-level rCBV, deriving mean, maximum, and percentile values. Statistical analyses were conducted using the Mann-Whitney U test and AUC-ROC. RESULTS The cohort consisted of 59 patients (mean age 46; 34 male): 11 astrocytoma-4 and 48 glioblastoma. While glioblastoma showed higher rCBV in enhancing regions, the differences were not significant. However, non-enhancing astrocytoma-4 regions displayed notably higher rCBV, particularly in lower percentiles. The 30th rCBV percentile for non-enhancing regions was 0.705 in astrocytoma-4, compared to 0.458 in glioblastoma (p = 0.001, AUC-ROC = 0.811), outperforming standard mean and maximum values. CONCLUSION Employing an automated percentile-based approach for rCBV selection enhances differentiation capabilities, with non-enhancing regions providing more insightful data. Elevated rCBV in lower percentiles of non-enhancing astrocytoma-4 is the most distinguishable characteristic and may indicate lowly vascularized infiltrated edema, contrasting with glioblastoma's pure edema.
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Affiliation(s)
- Albert Pons-Escoda
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain.
- Neuro-oncology Unit, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain.
- Facultat de Medicina i Ciències de La Salut, Universitat de Barcelona (UB), Barcelona, Spain.
| | - Pablo Naval-Baudin
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
- Facultat de Medicina i Ciències de La Salut, Universitat de Barcelona (UB), Barcelona, Spain
- Diagnostic Imaging and Nuclear Medicine Research Group, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain
| | - Mildred Viveros
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | | | - Ignacio Martinez-Zalacaín
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
- Diagnostic Imaging and Nuclear Medicine Research Group, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain
| | - Gerard Plans
- Neuro-oncology Unit, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain
- Neurosurgery Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Noemi Vidal
- Neuro-oncology Unit, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain
- Pathology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Monica Cos
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Carles Majos
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
- Neuro-oncology Unit, Institut d'Investigació Biomèdica de Bellvitge- IDIBELL, Barcelona, Spain
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2
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Pons-Escoda A, Majos C, Smits M, Oleaga L. Presurgical diagnosis of diffuse gliomas in adults: Post-WHO 2021 practical perspectives from radiologists in neuro-oncology units. RADIOLOGIA 2024; 66:260-277. [PMID: 38908887 DOI: 10.1016/j.rxeng.2024.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 10/31/2023] [Indexed: 06/24/2024]
Abstract
The 2021 World Health Organization classification of CNS tumours was greeted with enthusiasm as well as an initial potential overwhelm. However, with time and experience, our understanding of its key aspects has notably improved. Using our collective expertise gained in neuro-oncology units in hospitals in different countries, we have compiled a practical guide for radiologists that clarifies the classification criteria for diffuse gliomas in adults. Its format is clear and concise to facilitate its incorporation into everyday clinical practice. The document includes a historical overview of the classifications and highlights the most important recent additions. It describes the main types in detail with an emphasis on their appearance on imaging. The authors also address the most debated issues in recent years. It will better prepare radiologists to conduct accurate presurgical diagnoses and collaborate effectively in clinical decision making, thus impacting decisions on treatment, prognosis, and overall patient care.
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Affiliation(s)
- A Pons-Escoda
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain; Facultat de Medicina i Ciencies de La Salut, Universitat de Barcelona (UB), Barcelona, Spain.
| | - C Majos
- Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain; Neuro-Oncology Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain; Diagnostic Imaging and Nuclear Medicine Research Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - M Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, The Netherlands; Medical Delta, Delft, The Netherlands
| | - L Oleaga
- Radiology Department, Hospital Clínic Barcelona, Barcelona, Spain
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3
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Godoy LFDS, Paes VR, Ayres AS, Bandeira GA, Moreno RA, Hirata FDCC, Silva FAB, Nascimento F, Campos Neto GDC, Gentil AF, Lucato LT, Amaro Junior E, Young RJ, Malheiros SMF. Advances in diffuse glial tumors diagnosis. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:1134-1145. [PMID: 38157879 PMCID: PMC10756793 DOI: 10.1055/s-0043-1777729] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/27/2023] [Indexed: 01/03/2024]
Abstract
In recent decades, there have been significant advances in the diagnosis of diffuse gliomas, driven by the integration of novel technologies. These advancements have deepened our understanding of tumor oncogenesis, enabling a more refined stratification of the biological behavior of these neoplasms. This progress culminated in the fifth edition of the WHO classification of central nervous system (CNS) tumors in 2021. This comprehensive review article aims to elucidate these advances within a multidisciplinary framework, contextualized within the backdrop of the new classification. This article will explore morphologic pathology and molecular/genetics techniques (immunohistochemistry, genetic sequencing, and methylation profiling), which are pivotal in diagnosis, besides the correlation of structural neuroimaging radiophenotypes to pathology and genetics. It briefly reviews the usefulness of tractography and functional neuroimaging in surgical planning. Additionally, the article addresses the value of other functional imaging techniques such as perfusion MRI, spectroscopy, and nuclear medicine in distinguishing tumor progression from treatment-related changes. Furthermore, it discusses the advantages of evolving diagnostic techniques in classifying these tumors, as well as their limitations in terms of availability and utilization. Moreover, the expanding domains of data processing, artificial intelligence, radiomics, and radiogenomics hold great promise and may soon exert a substantial influence on glioma diagnosis. These innovative technologies have the potential to revolutionize our approach to these tumors. Ultimately, this review underscores the fundamental importance of multidisciplinary collaboration in employing recent diagnostic advancements, thereby hoping to translate them into improved quality of life and extended survival for glioma patients.
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Affiliation(s)
- Luis Filipe de Souza Godoy
- Hospital Israelita Albert Einstein, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | - Vitor Ribeiro Paes
- Hospital Israelita Albert Einstein, Laboratório de Patologia Cirúrgica, São Paulo SP, Brazil.
- Universidade de São Paulo, Faculdade de Medicina, Departamento de Patologia, São Paulo SP, Brazil.
| | - Aline Sgnolf Ayres
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | - Gabriela Alencar Bandeira
- Instituto do Câncer do Estado de São Paulo, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | - Raquel Andrade Moreno
- Instituto do Câncer do Estado de São Paulo, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
- Rede D'Or São Luiz, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | | | | | - Felipe Nascimento
- Hospital Israelita Albert Einstein, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | | | - Andre Felix Gentil
- Hospital Israelita Albert Einstein, Departamento de Neurocirurgia, São Paulo SP, Brazil.
| | - Leandro Tavares Lucato
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Seção de Neuroradiologia, São Paulo SP, Brazil.
- Grupo Fleury, São Paulo SP, Brazil.
| | - Edson Amaro Junior
- Hospital Israelita Albert Einstein, Departamento de Radiologia, Seção de Neuroradiologia, São Paulo SP, Brazil.
| | - Robert J. Young
- Memorial Sloan-Kettering Cancer Center, Neuroradiology Service, New York, New York, United States.
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Jovanović N, Lazarević M, Cvetković VJ, Nikolov V, Kostić Perić J, Ugrin M, Pavlović S, Mitrović T. The Significance of MGMT Promoter Methylation Status in Diffuse Glioma. Int J Mol Sci 2022; 23:ijms232113034. [PMID: 36361838 PMCID: PMC9654114 DOI: 10.3390/ijms232113034] [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: 09/28/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
A single-institution observational study with 43 newly diagnosed diffuse gliomas defined the isocitrate dehydrogenase 1 and 2 (IDH1/2) gene mutation status and evaluated the prognostic relevance of the methylation status of the epigenetic marker O6-methylguanine-DNA methyltransferase (MGMT). Younger patients (<50 years) with surgically resected glioma and temozolomide (TMZ) adjuvant chemotherapy were associated with better prognosis, consistent with other studies. The methylation status depends on the chosen method and the cut-off value determination. Methylation-specific PCR (MSP) established the methylation status for 36 glioma patients (19 (52.8%) positively methylated and 17 (47.2%) unmethylated) without relevancy for the overall survival (OS) (p = 0.33). On the other side, real-time methylation-specific PCR (qMSP) revealed 23 tumor samples (54%) that were positively methylated without association with OS (p = 0.15). A combined MSP analysis, which included the homogenous cohort of 24 patients (>50 years with surgical resection and IDH1/2-wildtype diffuse glioma), distinguished 10 (41.6%) methylated samples from 14 (58.4%) unmethylated samples. Finally, significant correlation between OS and methylation status was noticed (p ≈ 0.05). The OS of the hypermethylated group was 9.6 ± 1.77 months, whereas the OS of the unmethylated group was 5.43 ± 1.04 months. Our study recognized the MGMT promoter methylation status as a positive prognostic factor within the described homogenous cohort, although further verification in a larger population of diffuse gliomas is required.
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Affiliation(s)
- Nikola Jovanović
- Laboratory for Molecular Biology and Biotechnology, Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia
| | - Milica Lazarević
- Laboratory for Molecular Biology and Biotechnology, Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia
| | - Vladimir J Cvetković
- Laboratory for Molecular Biology and Biotechnology, Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia
| | - Vesna Nikolov
- Faculty of Medicine, Clinic of Neurosurgery, Clinical Center, University of Niš, 18000 Niš, Serbia
| | - Jelena Kostić Perić
- Laboratory for Molecular Biomedicine, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, 11042 Belgrade, Serbia
| | - Milena Ugrin
- Laboratory for Molecular Biomedicine, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, 11042 Belgrade, Serbia
| | - Sonja Pavlović
- Laboratory for Molecular Biomedicine, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, 11042 Belgrade, Serbia
| | - Tatjana Mitrović
- Laboratory for Molecular Biology and Biotechnology, Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia
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Ibrahim Abdul Hakeem AH, Khaled RST, Sherif Ismail M. Expression of Anaplastic Lymphoma Kinase in Astrocytic Tumors (Histopathological and Immunohistochemical Study). Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: Astrocytic tumors are the most common primary brain tumors. Glioblastoma is the most common astrocytic tumor representing the highest World Health Organization (WHO) grade (WHO grade IV) with poor prognosis and short survival time. Anaplastic lymphoma kinase (ALK) has a role in embryonic central nervous system development. ALK receptor is thought to contribute to nervous system function, repair, and metabolic homeostasis and is expressed in high-grade tumors like anaplastic large cell lymphoma that makes it a potential target for therapeutic intervention.
AIM: This work aimed to examine the immunohistochemical expression of ALK in astrocytic tumors and its correlation with age, sex, clinical presentation, location, laterality, recurrence, and WHO grade to implicate possible therapeutic potential.
METHODS: This retrospective study was conducted on sixty cases of archived, formalin-fixed, paraffin-embedded tissue blocks that included different subtypes and grades of astrocytic tumors. Immunohistochemistry using ALK monoclonal antibody was performed using a standard avidin-biotin-peroxidase system.
RESULTS: Of the sixty cases, 57 (95%) cases were negative for ALK, while three (5%) cases are positive for ALK; all showed the strong intensity of expression. No statistically significant association was found between ALK expression and astrocytic tumors in addition to other clinical variables of the studied tumors.
CONCLUSIONS: Most cases of astrocytic tumors showed negative ALK expression apart from three positive cases seen in higher WHO grades, especially gliosarcoma. The high number of negative cases for ALK in our study group suggests that ALK expression is not associated with a prognostic significance toward astrocytic tumors whatever its grade.
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6
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Garcia-Fabiani MB, Haase S, Comba A, Carney S, McClellan B, Banerjee K, Alghamri MS, Syed F, Kadiyala P, Nunez FJ, Candolfi M, Asad A, Gonzalez N, Aikins ME, Schwendeman A, Moon JJ, Lowenstein PR, Castro MG. Genetic Alterations in Gliomas Remodel the Tumor Immune Microenvironment and Impact Immune-Mediated Therapies. Front Oncol 2021; 11:631037. [PMID: 34168976 PMCID: PMC8217836 DOI: 10.3389/fonc.2021.631037] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 05/06/2021] [Indexed: 12/13/2022] Open
Abstract
High grade gliomas are malignant brain tumors that arise in the central nervous system, in patients of all ages. Currently, the standard of care, entailing surgery and chemo radiation, exhibits a survival rate of 14-17 months. Thus, there is an urgent need to develop new therapeutic strategies for these malignant brain tumors. Currently, immunotherapies represent an appealing approach to treat malignant gliomas, as the pre-clinical data has been encouraging. However, the translation of the discoveries from the bench to the bedside has not been as successful as with other types of cancer, and no long-lasting clinical benefits have been observed for glioma patients treated with immune-mediated therapies so far. This review aims to discuss our current knowledge about gliomas, their molecular particularities and the impact on the tumor immune microenvironment. Also, we discuss several murine models used to study these therapies pre-clinically and how the model selection can impact the outcomes of the approaches to be tested. Finally, we present different immunotherapy strategies being employed in clinical trials for glioma and the newest developments intended to harness the immune system against these incurable brain tumors.
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Affiliation(s)
- Maria B. Garcia-Fabiani
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Santiago Haase
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Andrea Comba
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Stephen Carney
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Brandon McClellan
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Immunology graduate program, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Kaushik Banerjee
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Mahmoud S. Alghamri
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Faisal Syed
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Padma Kadiyala
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | | | - Marianela Candolfi
- Instituto de Investigaciones Biomédicas (INBIOMED, UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Antonela Asad
- Instituto de Investigaciones Biomédicas (INBIOMED, UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Nazareno Gonzalez
- Instituto de Investigaciones Biomédicas (INBIOMED, UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Marisa E. Aikins
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, United States
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, United States
| | - Anna Schwendeman
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, United States
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, United States
| | - James J. Moon
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, United States
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Pedro R. Lowenstein
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria G. Castro
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
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7
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Kadiyala P, Carney SV, Gauss JC, Garcia-Fabiani MB, Haase S, Alghamri MS, Núñez FJ, Liu Y, Yu M, Taher A, Nunez FM, Li D, Edwards MB, Kleer CG, Appelman H, Sun Y, Zhao L, Moon JJ, Schwendeman A, Lowenstein PR, Castro MG. Inhibition of 2-hydroxyglutarate elicits metabolic reprogramming and mutant IDH1 glioma immunity in mice. J Clin Invest 2021; 131:139542. [PMID: 33332283 DOI: 10.1172/jci139542] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 12/09/2020] [Indexed: 02/06/2023] Open
Abstract
Mutant isocitrate dehydrogenase 1 (IDH1-R132H; mIDH1) is a hallmark of adult gliomas. Lower grade mIDH1 gliomas are classified into 2 molecular subgroups: 1p/19q codeletion/TERT-promoter mutations or inactivating mutations in α-thalassemia/mental retardation syndrome X-linked (ATRX) and TP53. This work focuses on glioma subtypes harboring mIDH1, TP53, and ATRX inactivation. IDH1-R132H is a gain-of-function mutation that converts α-ketoglutarate into 2-hydroxyglutarate (D-2HG). The role of D-2HG within the tumor microenvironment of mIDH1/mATRX/mTP53 gliomas remains unexplored. Inhibition of D-2HG, when used as monotherapy or in combination with radiation and temozolomide (IR/TMZ), led to increased median survival (MS) of mIDH1 glioma-bearing mice. Also, D-2HG inhibition elicited anti-mIDH1 glioma immunological memory. In response to D-2HG inhibition, PD-L1 expression levels on mIDH1-glioma cells increased to similar levels as observed in WT-IDH gliomas. Thus, we combined D-2HG inhibition/IR/TMZ with anti-PDL1 immune checkpoint blockade and observed complete tumor regression in 60% of mIDH1 glioma-bearing mice. This combination strategy reduced T cell exhaustion and favored the generation of memory CD8+ T cells. Our findings demonstrate that metabolic reprogramming elicits anti-mIDH1 glioma immunity, leading to increased MS and immunological memory. Our preclinical data support the testing of IDH-R132H inhibitors in combination with IR/TMZ and anti-PDL1 as targeted therapy for mIDH1/mATRX/mTP53 glioma patients.
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Affiliation(s)
- Padma Kadiyala
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Stephen V Carney
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jessica C Gauss
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Maria B Garcia-Fabiani
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Santiago Haase
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Mahmoud S Alghamri
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Felipe J Núñez
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Yayuan Liu
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Minzhi Yu
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Ayman Taher
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Fernando M Nunez
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Dan Li
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Marta B Edwards
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Celina G Kleer
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Henry Appelman
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Yilun Sun
- Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Biostatistics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Lili Zhao
- Department of Biostatistics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - James J Moon
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA.,Biointerfaces Institute, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Anna Schwendeman
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, USA.,Biointerfaces Institute, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Pedro R Lowenstein
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Biointerfaces Institute, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Maria G Castro
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Biointerfaces Institute, University of Michigan Medical School, Ann Arbor, Michigan, USA
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8
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Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma. Sci Rep 2021; 11:695. [PMID: 33436737 PMCID: PMC7804103 DOI: 10.1038/s41598-020-79829-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 12/09/2020] [Indexed: 12/15/2022] Open
Abstract
Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor. Assessment of the residual tumor after surgery and patient stratification into prognostic groups (i.e., by tumor volume) is currently hindered by the subjective evaluation of residual enhancement in medical images (magnetic resonance imaging [MRI]). Furthermore, objective evidence defining the optimal time to acquire the images is lacking. We analyzed 144 patients with glioblastoma, objectively quantified the enhancing residual tumor through computational image analysis and assessed the correlation with survival. Pathological enhancement thickness on post-surgical MRI correlated with survival (hazard ratio: 1.98, p < 0.001). The prognostic value of several imaging and clinical variables was analyzed individually and combined (radiomics AUC 0.71, p = 0.07; combined AUC 0.72, p < 0.001). Residual enhancement thickness and radiomics complemented clinical data for prognosis stratification in patients with glioblastoma. Significant results were only obtained for scans performed between 24 and 72 h after surgery, raising the possibility of confounding non-tumor enhancement in very early post-surgery MRI. Regarding the extent of resection, and in agreement with recent studies, the association between the measured tumor remnant and survival supports maximal safe resection whenever possible.
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9
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Bale TA, Jordan JT, Rapalino O, Ramamurthy N, Jessop N, DeWitt JC, Nardi V, Alvarez MML, Frosch M, Batchelor TT, Louis DN, Iafrate AJ, Cahill DP, Lennerz JK. Financially effective test algorithm to identify an aggressive, EGFR-amplified variant of IDH-wildtype, lower-grade diffuse glioma. Neuro Oncol 2020; 21:596-605. [PMID: 30496526 DOI: 10.1093/neuonc/noy201] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Update 3 of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) recognizes amplification of epidermal growth factor receptor (EGFR) as one important aberration in diffuse gliomas (World Health Organization [WHO] grade II/III). While these recommendations endorse testing, a cost-effective, clinically relevant testing paradigm is currently lacking. Here, we use real-world clinical data to propose a financially effective diagnostic test algorithm in the context of new guidelines. METHODS To determine the prevalence, distribution, neuroradiographic features (Visually Accessible REMBRANDT Images [VASARI]), and prognostic relevance of EGFR amplification in lower-grade gliomas, we assembled a consecutive series of diffuse gliomas. For validation we included publicly available data from The Cancer Genome Atlas. For a cost-utility analysis we compared combined EGFR and isocitrate dehydrogenase (IDH) testing, EGFR testing based on IDH results, and no EGFR testing. RESULTS In n = 71 WHO grade II/III gliomas, we identified EGFR amplification in 28.2%. With one exception, all EGFR amplifications occurred in IDH-wildtype gliomas. Comparison of overall survival showed that EGFR amplification denotes a significantly more aggressive subset of tumors (P < 0.0001, log-rank). The radiologic phenotype in the EGFR-amplified tumors includes diffusion restriction (15%, P = 0.02), >5% tumor contrast enhancement (75%, P = 0.016), and mild (not avid) enhancement (P = 0.016). The proposed testing algorithm reserves EGFR fluorescence in situ hybridization (FISH) testing for IDH-wildtype cases. Implementation would result in ~37.9% cost reduction at our institution, or about $1.3-4 million nationally. CONCLUSION EGFR-amplified diffuse gliomas are "glioblastoma-like" in their behavior and may represent undersampled glioblastomas, or subsets of IDH-wildtype diffuse gliomas with inherently aggressive biology. EGFR FISH after IDH testing is a financially effective and clinically relevant test algorithm for routine clinical practice.
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Affiliation(s)
- Tejus A Bale
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.,Memorial Sloan Kettering Cancer Center, New York, New York
| | - Justin T Jordan
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.,Department of Neurology, Boston, Massachusetts.,Division of Hematology/Oncology, Boston, Massachusetts
| | - Otto Rapalino
- Department of Radiology, Division of Neuroradiology, Boston, Massachusetts
| | - Nisha Ramamurthy
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Nicholas Jessop
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - John C DeWitt
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Matthew Frosch
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Tracy T Batchelor
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.,Department of Neurology, Boston, Massachusetts.,Division of Hematology/Oncology, Boston, Massachusetts
| | - David N Louis
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - A John Iafrate
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Daniel P Cahill
- Department of Neurosurgery, Boston, Massachusetts.,Massachusetts General Hospital, Boston, Massachusetts
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
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10
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Qu CX, Ji HM, Shi XC, Bi H, Zhai LQ, Han DW. Characteristics of the isocitrate dehydrogenase gene and telomerase reverse transcriptase promoter mutations in gliomas in Chinese patients. Brain Behav 2020; 10:e01583. [PMID: 32146731 PMCID: PMC7177565 DOI: 10.1002/brb3.1583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/10/2020] [Accepted: 02/13/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To explore the characteristics of IDH and TERT promoter mutations in gliomas in Chinese patients. METHODS A total of 124 Chinese patients with gliomas were enrolled to study the frequencies of mutations in isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp). Among the 124 patients, 59 patients were enrolled to study the classification of gliomas based on mutations in IDH and TERTp. RESULTS Isocitrate dehydrogenase mutations are positively correlated with a good prognosis but mutations in TERTp cannot predict prognoses independently. The combined analysis of the mutations of IDH and TERTp can predict the prognosis more accurately. Patients with IDH and TERTp glioma mutations have the best prognosis, followed by only IDH mutation patients and only TERTp mutation patients, which have the worst prognosis. IDH and TERTp mutations occur frequently in males, younger patients or lower-grade patients. In contrast, only TERTp mutations occur frequently in females, older patients or higher-grade patients. CONCLUSIONS Patients with IDH and TERTp glioma mutations have the best prognosis, and only IDH mutation patients and only TERTp mutation patients have the worst prognosis. Moreover, the molecular classification of gliomas by mutations of IDH and TERTp is not suitable for pediatric patients.
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Affiliation(s)
- Chong-Xiao Qu
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, China.,Department of Pathophysiology, Basic Medical Science, Shanxi Medical University, Taiyuan, China
| | - Hong-Ming Ji
- Department of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Xiang-Cheng Shi
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Hong Bi
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Li-Qin Zhai
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - De-Wu Han
- Department of Pathophysiology, Basic Medical Science, Shanxi Medical University, Taiyuan, China
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11
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Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Sci Rep 2018; 8:17062. [PMID: 30459364 PMCID: PMC6244161 DOI: 10.1038/s41598-018-34820-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 10/24/2018] [Indexed: 12/18/2022] Open
Abstract
Functional MRI may identify critical windows of opportunity for drug delivery and distinguish between early treatment responders and non-responders. Using diffusion-weighted, dynamic contrast-enhanced, and dynamic susceptibility contrast MRI, as well as pro-angiogenic and pro-inflammatory blood markers, we prospectively studied the physiologic tumor-related changes in fourteen newly diagnosed glioblastoma patients during standard therapy. 153 MRI scans and blood collection were performed before chemoradiation (baseline), weekly during chemoradiation (week 1–6), monthly before each cycle of adjuvant temozolomide (pre-C1-C6), and after cycle 6. The apparent diffusion coefficient, volume transfer coefficient (Ktrans), and relative cerebral blood volume (rCBV) and flow (rCBF) were calculated within the tumor and edema regions and compared to baseline. Cox regression analysis was used to assess the effect of clinical variables, imaging, and blood markers on progression-free (PFS) and overall survival (OS). After controlling for additional covariates, high baseline rCBV and rCBF within the edema region were associated with worse PFS (microvessel rCBF: HR = 7.849, p = 0.044; panvessel rCBV: HR = 3.763, p = 0.032; panvessel rCBF: HR = 3.984; p = 0.049). The same applied to high week 5 and pre-C1 Ktrans within the tumor region (week 5 Ktrans: HR = 1.038, p = 0.003; pre-C1 Ktrans: HR = 1.029, p = 0.004). Elevated week 6 VEGF levels were associated with worse OS (HR = 1.034; p = 0.004). Our findings suggest a role for rCBV and rCBF at baseline and Ktrans and VEGF levels during treatment as markers of response. Functional imaging changes can differ substantially between tumor and edema regions, highlighting the variable biologic and vascular state of tumor microenvironment during therapy.
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12
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DeWitt JC, Jordan JT, Frosch MP, Samore WR, Iafrate AJ, Louis DN, Lennerz JK. Cost-effectiveness of IDH testing in diffuse gliomas according to the 2016 WHO classification of tumors of the central nervous system recommendations. Neuro Oncol 2018; 19:1640-1650. [PMID: 29016871 DOI: 10.1093/neuonc/nox120] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background Due to the decreasing prevalence of IDH1 mutations in older patients, the 2016 World Health Organization (WHO) classification of brain tumors proposed not to perform sequencing for isocitrate dehydrogenase (IDH) in glioblastoma patients ≥55 years old. We present a cost-effectiveness analysis to estimate the financial impact of these guidelines. Methods From 2010 to 2015 we performed 1023 IDH tests in gliomas, amounting to ~$1.09 million in direct laboratory test costs. Samples were tested using R132H-specific immunohistochemistry, DNA sequencing validated for detection of noncanonical IDH1/2 mutations, or both methods. Results In cases tested by DNA sequencing, the fraction of non-R132H mutations was 5.4%, which included only 2 high-grade gliomas in patients ≥55 years (0.9%). When remodeling the optimal age cutoff in our patient population using 5-year age-binning, we found a 10-times higher pretest probability for the presence of a noncanonical IDH1 mutation in the setting of a negative IDH1-R132H immunohistochemistry result in patients <55 years. Applying the independently confirmed age cutoff of 55 years to glioblastoma patients (64%) would result in $403200 saved (43%). By not performing sequencing in patients ≥55 years, the turn-around time to final integrated neuropathological diagnosis is reduced by 53%, allowing these patients to gain earlier benefits from personalized genomic medicine. Conclusion The negligible prevalence of noncanonical IDH mutations in glioblastoma patients ≥55 years argues against universal IDH sequencing in this population. We predict that adoption of this age-based sequencing cutoff recommendation from the 2016 WHO guidelines will result in significant cost and time savings throughout the global health care system.
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Affiliation(s)
- John C DeWitt
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Justin T Jordan
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Matthew P Frosch
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Wesley R Samore
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - A John Iafrate
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - David N Louis
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jochen K Lennerz
- Department of Pathology; Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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