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Price M, Neff C, Nagarajan N, Kruchko C, Waite KA, Cioffi G, Cordeiro BB, Willmarth N, Penas-Prado M, Gilbert MR, Armstrong TS, Barnholtz-Sloan JS, Ostrom QT. CBTRUS Statistical Report: American Brain Tumor Association & NCI Neuro-Oncology Branch Adolescent and Young Adult Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016-2020. Neuro Oncol 2024; 26:iii1-iii53. [PMID: 38709657 PMCID: PMC11073545 DOI: 10.1093/neuonc/noae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024] Open
Abstract
Recent analyses have shown that, whereas cancer survival overall has been improving, it has not improved for adolescents and young adults ages 15-39 years (AYA). The clinical care of AYA with primary brain and other central nervous system (CNS) tumors (BT) is complicated by the fact that the histopathologies of such tumors in AYA differ from their histopathologies in either children (ages 0-14 years) or older adults (ages 40+ years). The present report, as an update to a 2016 publication from the Central Brain Tumor Registry of the United States and the American Brain Tumor Association, provides in-depth analyses of the epidemiology of primary BT in AYA in the United States and is the first to provide biomolecular marker-specific statistics and prevalence by histopathology for both primary malignant and non-malignant BT in AYA. Between 2016 and 2020, the annual average age-specific incidence rate (AASIR) of primary malignant and non-malignant BT in AYA was 12.00 per 100,000 population, an average of 12,848 newly diagnosed cases per year. During the same period, an average of 1,018 AYA deaths per year were caused by primary malignant BT, representing an annual average age-specific mortality rate of 0.96 per 100,000 population. When primary BT were categorized by histopathology, pituitary tumors were the most common (36.6%), with an AASIR of 4.34 per 100,000 population. Total incidence increased with age overall; when stratified by sex, the incidence was higher in females than males at all ages. Incidence rates for all primary BT combined and for non-malignant tumors only were highest for non-Hispanic American Indian/Alaska Native individuals, whereas malignant tumors were more frequent in non-Hispanic White individuals, compared with other racial/ethnic groups. On the basis of histopathology, the most common molecularly defined tumor was diffuse glioma (an AASIR of 1.51 per 100,000). Primary malignant BT are the second most common cause of cancer death in the AYA population. Incidence rates of primary BT overall, as well as specific histopathologies, vary significantly by age. Accordingly, an accurate statistical assessment of primary BT in the AYA population is vital for better understanding the impact of these tumors on the US population and to serve as a reference for afflicted individuals, for researchers investigating new therapies, and for clinicians treating these patients.
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Affiliation(s)
- Mackenzie Price
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Corey Neff
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Kristin A Waite
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gino Cioffi
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Brittany B Cordeiro
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Marta Penas-Prado
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jill S Barnholtz-Sloan
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Center for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
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Cioffi G, Waite KA, Price M, Neff C, Kruchko C, Ostrom QT, Barnholtz-Sloan JS. The impact of COVID-19 on 2020 monthly incidence trends of primary brain and other CNS tumors. Neuro Oncol 2024; 26:764-774. [PMID: 38167948 PMCID: PMC10995517 DOI: 10.1093/neuonc/noad235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND To mitigate disease spread, restrictions implemented in the United States surrounding the COVID-19 pandemic created an environment that led to delays in cancer diagnosis. The data needed to accurately analyze the impact of the pandemic on brain and CNS tumor incidence has not been available until now. Utilizing incidence data from the Central Brain Tumor Registry of the United States (CBTRUS) we analyzed the impact of the COVID-19 pandemic on primary brain and other CNS tumor incidence for the first year of the pandemic. METHODS Monthly age-adjusted incidence rates and incidence trends for 2019 and 2020 were determined for age at diagnosis, sex, race, ethnicity, diagnostic confirmation, behavior, tumor histopathology, and county-level urbanization. Monthly incidence rate ratios comparing 2020 and 2019 were evaluated for the same factors. RESULTS Overall, there was a notable decrease in incidence rates in March-May 2020 when compared to 2019. These decreases were driven by nonmalignant tumors, with a 50% incidence decrease between March 2020 and 2019. Individuals who were Black had a larger incidence decrease in early 2020 than individuals who were White. Radiographically confirmed tumors saw larger incidence decreases than histologically confirmed tumors. There were no changes in monthly incidence of glioblastoma in 2020 compared to 2019. CONCLUSIONS These data provide evidence that disruptions in medical care, such as governmental and health care mandates, in response to the COVID-19 pandemic resulted in an overall decreased incidence of primary brain tumors in early 2020.
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Affiliation(s)
- Gino Cioffi
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Kristin A Waite
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Mackenzie Price
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Corey Neff
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jill S Barnholtz-Sloan
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland, USA
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Pugazenthi S, Price M, De La Vega Gomar R, Kruchko C, Waite KA, Barnholtz-Sloan JS, Walsh KM, Kim AH, Ostrom QT. Association of county-level socioeconomic status with meningioma incidence and outcomes. Neuro Oncol 2024; 26:749-763. [PMID: 38087980 PMCID: PMC10995507 DOI: 10.1093/neuonc/noad223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Prior literature suggests that individual socioeconomic status (SES) may influence incidence, treatments, and survival of brain tumor cases. We aim to conduct the first national study to evaluate the association between US county-level SES and incidence, treatment, and survival in meningioma. METHODS The Central Brain Tumor Registry of the United States analytic dataset, which combines data from CDC's National Program of Cancer Registries (NPCR) and National Cancer Institute's Surveillance, Epidemiology, and End Results Program, was used to identify meningioma cases from 2006 to 2019. SES quintiles were created using American Community Survey data. Logistic regression models were used to evaluate associations between SES and meningioma. Cox proportional hazard models were constructed to assess the effect of SES on survival using the NPCR analytic dataset. RESULTS A total of 409 681 meningioma cases were identified. Meningioma incidence increased with higher county-level SES with Q5 (highest quintile) having a 12% higher incidence than Q1 (incidence rate ratios (IRR) = 1.12, 95%CI: 1.10-1.14; P < .0001). The Hispanic group was the only racial-ethnic group that had lower SES associated with increased meningioma incidence (Q5: age-adjusted incidence ratio (AAIR) = 9.02, 95%CI: 8.87-9.17 vs. Q1: AAIR = 9.33, 95%CI: 9.08-9.59; IRR = 0.97, 95%CI: 0.94-1.00; P = .0409). Increased likelihood of surgical treatment was associated with Asian or Pacific Islander non-Hispanic individuals (compared to White non-Hispanic (WNH)) (OR = 1.28, 95%CI: 1.23-1.33, P < .001) and males (OR = 1.31, 95%CI: 1.29-1.33, P < .001). Black non-Hispanic individuals (OR = 0.90, 95%CI: 0.88-0.92, P < .001) and those residing in metropolitan areas (OR = 0.96, 95%CI: 0.96-0.96, P < .001) were less likely to receive surgical treatment compared to WNH individuals. Overall median survival was 137 months, and survival was higher in higher SES counties (Q5 median survival = 142 months). CONCLUSIONS Higher county-level SES was associated with increased meningioma incidence, surgical treatment, and overall survival. Racial-ethnic stratification identified potential disparities within the meningioma population. Further work is needed to understand the underpinnings of socioeconomic and racial disparities for meningioma patients.
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Affiliation(s)
- Sangami Pugazenthi
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Mackenzie Price
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Kristin A Waite
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
| | - Jill S Barnholtz-Sloan
- Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
- Center for Biomedical Informatics & Information Technology (CBIIT), National Cancer Institute, Bethesda, Maryland, USA
| | - Kyle M Walsh
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Albert H Kim
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
- The Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
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Harachi M, Masui K, Shimizu E, Murakami K, Onizuka H, Muragaki Y, Kawamata T, Nakayama H, Miyata M, Komori T, Cavenee WK, Mischel PS, Kurata A, Shibata N. DNA hypomethylator phenotype reprograms glutamatergic network in receptor tyrosine kinase gene-mutated glioblastoma. Acta Neuropathol Commun 2024; 12:40. [PMID: 38481314 PMCID: PMC10935831 DOI: 10.1186/s40478-024-01750-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/25/2024] [Indexed: 03/17/2024] Open
Abstract
DNA methylation is crucial for chromatin structure and gene expression and its aberrancies, including the global "hypomethylator phenotype", are associated with cancer. Here we show that an underlying mechanism for this phenotype in the large proportion of the highly lethal brain tumor glioblastoma (GBM) carrying receptor tyrosine kinase gene mutations, involves the mechanistic target of rapamycin complex 2 (mTORC2), that is critical for growth factor signaling. In this scenario, mTORC2 suppresses the expression of the de novo DNA methyltransferase (DNMT3A) thereby inducing genome-wide DNA hypomethylation. Mechanistically, mTORC2 facilitates a redistribution of EZH2 histone methyltransferase into the promoter region of DNMT3A, and epigenetically represses the expression of DNA methyltransferase. Integrated analyses in both orthotopic mouse models and clinical GBM samples indicate that the DNA hypomethylator phenotype consistently reprograms a glutamate metabolism network, eventually driving GBM cell invasion and survival. These results nominate mTORC2 as a novel regulator of DNA hypomethylation in cancer and an exploitable target against cancer-promoting epigenetics.
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Affiliation(s)
- Mio Harachi
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan.
| | - Erika Shimizu
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Kumiko Murakami
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Hiromi Onizuka
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Yoshihiro Muragaki
- Department of Neurosurgery, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
- Center for Advanced Medical Engineering Research and Development, Kobe University, Kobe, Hyogo, 650-0047, Japan
| | - Takakazu Kawamata
- Department of Neurosurgery, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Hisako Nakayama
- Department of Physiology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Mariko Miyata
- Department of Physiology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Takashi Komori
- Department of Neuropathology, Tokyo Metropolitan Neurological Hospital, Musashinodai, Tokyo, 156-8506, Japan
| | - Webster K Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Atsushi Kurata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Noriyuki Shibata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
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Coy S, Lee JS, Chan SJ, Woo T, Jones J, Alexandrescu S, Wen PY, Sorger PK, Ligon KL, Santagata S. Systematic characterization of antibody-drug conjugate targets in central nervous system tumors. Neuro Oncol 2024; 26:458-472. [PMID: 37870091 PMCID: PMC10912007 DOI: 10.1093/neuonc/noad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Antibody-drug conjugates (ADCs) enhance the specificity of cytotoxic drugs by directing them to cells expressing target antigens. Multiple ADCs are FDA-approved for solid and hematologic malignancies, including those expressing HER2, TROP2, and NECTIN4. Recently, an ADC targeting HER2 (Trastuzumab-Deruxtecan) increased survival and reduced growth of brain metastases in treatment-refractory metastatic breast cancer, even in tumors with low HER2 expression. Thus, low-level expression of ADC targets may be sufficient for treatment responsiveness. However, ADC target expression is poorly characterized in many central nervous system (CNS) tumors. METHODS We analyzed publicly available RNA-sequencing and proteomic data from the children's brain tumor network (N = 188 tumors) and gene-expression-omnibus RNA-expression datasets (N = 356) to evaluate expression of 14 potential ADC targets that are FDA-approved or under investigation in solid cancers. We also used immunohistochemistry to measure the levels of HER2, HER3, NECTIN4, TROP2, CLDN6, CLDN18.2, and CD276/B7-H3 protein in glioblastoma, oligodendroglioma, meningioma, ependymoma, pilocytic astrocytoma, medulloblastoma, atypical teratoid/rhabdoid tumor (AT/RT), adamantinomatous craniopharyngioma (ACP), papillary craniopharyngioma (PCP), and primary CNS lymphoma (N = 575). RESULTS Pan-CNS analysis showed subtype-specific expression of ADC target proteins. Most tumors expressed HER3, B7-H3, and NECTIN4. Ependymomas strongly expressed HER2, while meningiomas showed weak-moderate HER2 expression. ACP and PCP strongly expressed B7-H3, with TROP2 expression in whorled ACP epithelium. AT/RT strongly expressed CLDN6. Glioblastoma showed little subtype-specific marker expression, suggesting a need for further target development. CONCLUSIONS CNS tumors exhibit subtype-specific expression of ADC targets including several FDA-approved for other indications. Clinical trials of ADCs in CNS tumors may therefore be warranted.
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Affiliation(s)
- Shannon Coy
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Boston, Massachusetts, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, Massachusetts, USA
| | - Jong Suk Lee
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Boston, Massachusetts, USA
| | - Sabrina J Chan
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Boston, Massachusetts, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Terri Woo
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jacquelyn Jones
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Sanda Alexandrescu
- Department of Pathology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Boston, Massachusetts, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, Massachusetts, USA
| | - Keith L Ligon
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Pathology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, Massachusetts, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Boston, Massachusetts, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, Massachusetts, USA
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Price M, Ryan K, Shoaf ML, Neff C, Iorgulescu JB, Landi DB, Cioffi G, Waite KA, Kruchko C, Barnholtz-Sloan JS, Ostrom QT. Childhood, adolescent, and adult primary brain and central nervous system tumor statistics for practicing healthcare providers in neuro-oncology, CBTRUS 2015-2019. Neurooncol Pract 2024; 11:5-25. [PMID: 38222052 PMCID: PMC10785588 DOI: 10.1093/nop/npad061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024] Open
Abstract
Background The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the Centers for Disease Control and Prevention (CDC) and National Cancer Institute (NCI), is the largest aggregation of histopathology-specific population-based data for primary brain and other central nervous system (CNS) in the US. CBTRUS publishes an annual statistical report which provides critical reference data for the broad neuro-oncology community. Here, we summarize the key findings from the 2022 CBTRUS annual statistical report for healthcare providers. Methods Incidence data were obtained from the CDC's National Program of Cancer Registries (NPCR) and NCI's Surveillance, Epidemiology, and End Results Program for 52 central cancer registries (CCRs). Survival data were obtained from 42 NPCR CCRs. All rates are per 100 000 and age-adjusted using the 2000 US standard population. Overall median survival was estimated using Kaplan-Meier models. Survival data for selected molecularly defined histopathologies are from the National Cancer Database. Mortality data are from the National Vital Statistics System. Results The average annual age-adjusted incidence rate of all primary brain and other CNS tumors was 24.25/100 000. Incidence was higher in females and non-Hispanics. The most commonly occurring malignant and predominately non-malignant tumors was glioblastoma (14% of all primary brain tumors) and meningioma (39% of all primary brain tumors), respectively. Mortality rates and overall median survival varied by age, sex, and histopathology. Conclusions This summary describes the most up-to-date population-based incidence, mortality, and survival, of primary brain and other CNS tumors in the US and aims to serve as a concise resource for neuro-oncology providers.
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Affiliation(s)
- Mackenzie Price
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
| | - Katherine Ryan
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, NC, USA
| | - Madison L Shoaf
- Department of Neurology, Emory University, Atlanta, GA, USA
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Corey Neff
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
| | - J Bryan Iorgulescu
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel B Landi
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Gino Cioffi
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD, USA
| | - Kristin A Waite
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
| | - Jill S Barnholtz-Sloan
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD, USA
- Center for Biomedical Informatics & Information Technology (CBIIT), National Cancer Institute, Bethesda, MD, USA
| | - Quinn T Ostrom
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
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7
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Xie J, Kuriakose T, Bianski B, Twarog N, Savage E, Xu K, Zhu X, He C, Hansen B, Wang H, High A, Li Y, Rehg JE, Tillman HS, Freeman BB, Rankovic Z, Onar-Thomas A, Fan Y, Wu G, Peng J, Miller S, Baker SJ, Shelat AA, Tinkle CL. ATM inhibition enhances the efficacy of radiation across distinct molecular subgroups of pediatric high-grade glioma. Neuro Oncol 2023; 25:1828-1841. [PMID: 36971093 PMCID: PMC10547515 DOI: 10.1093/neuonc/noad064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Pediatric high-grade glioma (pHGG) is largely incurable and accounts for most brain tumor-related deaths in children. Radiation is a standard therapy, yet the benefit from this treatment modality is transient, and most children succumb to disease within 2 years. Recent large-scale genomic studies suggest that pHGG has alterations in DNA damage response (DDR) pathways that induce resistance to DNA damaging agents. The aim of this study was to evaluate the therapeutic potential and molecular consequences of combining radiation with selective DDR inhibition in pHGG. METHODS We conducted an unbiased screen in pHGG cells that combined radiation with clinical candidates targeting the DDR and identified the ATM inhibitor AZD1390. Subsequently, we profiled AZD1390 + radiation in an extensive panel of early passage pHGG cell lines, mechanistically characterized response to the combination in vitro in sensitive and resistant cells and evaluated the combination in vivo using TP53 wild-type and TP53 mutant orthotopic xenografts. RESULTS AZD1390 significantly potentiated radiation across molecular subgroups of pHGG by increasing mutagenic nonhomologous end joining and augmenting genomic instability. In contrast to previous reports, ATM inhibition significantly improved the efficacy of radiation in both TP53 wild-type and TP53 mutant isogenic cell lines and distinct orthotopic xenograft models. Furthermore, we identified a novel mechanism of resistance to AZD1390 + radiation that was marked by an attenuated ATM pathway response which dampened sensitivity to ATM inhibition and induced synthetic lethality with ATR inhibition. CONCLUSIONS Our study supports the clinical evaluation of AZD1390 in combination with radiation in pediatric patients with HGG.
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Affiliation(s)
- Jia Xie
- Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA
| | - Teneema Kuriakose
- Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA
| | - Brandon Bianski
- Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA
| | - Nathaniel Twarog
- Department of Chemical Biology and Therapeutics, St. Jude Children’s Research Hospital
| | - Evan Savage
- Department of Chemical Biology and Therapeutics, St. Jude Children’s Research Hospital
| | - Ke Xu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, USA
| | - Xiaoyan Zhu
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital
| | - Chen He
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital
| | - Baranda Hansen
- Center for Advanced Genome Engineering, St. Jude Children’s Research Hospital
| | - Hong Wang
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital
| | - Anthony High
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital
| | - Yuxin Li
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital
| | - Jerold E Rehg
- Department of Pathology, St. Jude Children’s Research Hospital
| | | | - Burgess B Freeman
- Preclinical Pharmacokinetic Shared Resource, St. Jude Children’s Research Hospital
| | - Zoran Rankovic
- Department of Chemical Biology and Therapeutics, St. Jude Children’s Research Hospital
| | - Arzu Onar-Thomas
- Department of Biostatistics, St. Jude Children’s Research Hospital
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, USA
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, USA
| | - Junmin Peng
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital
- Department of Structural Biology, St. Jude Children’s Research Hospital
| | - Shondra Miller
- Center for Advanced Genome Engineering, St. Jude Children’s Research Hospital
| | - Suzanne J Baker
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital
| | - Anang A Shelat
- Department of Chemical Biology and Therapeutics, St. Jude Children’s Research Hospital
| | - Christopher L Tinkle
- Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA
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Walsh KM, Price M, Neff C, Komisarow JM, Wimberly CE, Kruchko C, Barnholtz-Sloan JS, Ostrom QT. The joint impacts of sex and race/ethnicity on incidence of grade 1 versus grades 2-3 meningioma across the lifespan. Neurooncol Adv 2023; 5:i5-i12. [PMID: 37287573 PMCID: PMC10243865 DOI: 10.1093/noajnl/vdad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023] Open
Abstract
Background Previous research has identified older age, African-American race, and female sex as meningioma risk factors, but there is limited information on their joint effects, or on how these demographic factors vary across strata of tumor grade. Methods The Central Brain Tumor Registry of the United States (CBTRUS) is a population-based registry combining data from the CDC's National Program of Cancer Registries and NCI's Surveillance, Epidemiology and End Results Program which covers ~100% of the U.S. population and aggregates incidence data on all primary malignant and nonmalignant brain tumors. These data were used to explore the joint impacts of sex and race/ethnicity on average annual age-adjusted incidence rates of meningioma. We calculated meningioma incidence rate ratios (IRRs) by sex and race/ethnicity, across strata of age and tumor grade. Results Compared to individuals who are non-Hispanic White, individuals who are non-Hispanic Black had significantly higher risk of grade 1 (IRR = 1.23; 95% CI: 1.21-1.24) and grade 2-3 meningioma (IRR = 1.42; 95% CI: 1.37-1.47). The female-to-male IRR peaked in the fifth decade of life across all racial/ethnic groups and tumor grades, but was 3.59 (95% CI: 3.51-3.67) for WHO grade 1 meningioma and 1.74 (95% CI: 1.63-1.87) for WHO grade 2-3 meningioma. Conclusions This study reveals the joint effects of sex and race/ethnicity on meningioma incidence throughout the lifespan and across strata of tumor grade, highlighting incidence disparities among females and African-Americans that may inform future strategies for tumor interception.
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Affiliation(s)
| | | | - Corey Neff
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Jordan M Komisarow
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Courtney E Wimberly
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Jill S Barnholtz-Sloan
- Center for Biomedical Informatics & Information Technology (CBIIT) and Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Quinn T Ostrom
- Corresponding Author: Quinn T. Ostrom, PhD, DUMC Box 3050, Durham, NC 27710, USA ()
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9
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Ostrom QT, Shoaf ML, Cioffi G, Waite K, Kruchko C, Wen PY, Brat DJ, Barnholtz-Sloan JS, Iorgulescu JB. National-level overall survival patterns for molecularly-defined diffuse glioma types in the United States. Neuro Oncol 2023; 25:799-807. [PMID: 35994777 PMCID: PMC10076944 DOI: 10.1093/neuonc/noac198] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Molecularly-defined diffuse glioma types-including IDH-wildtype glioblastoma, IDH-mutant astrocytoma, IDH-mutant 1p/19q-codeleted oligodendroglioma, and H3 K27M-mutant diffuse midline glioma-were incorporated into U.S. cancer registry reporting for individuals with brain tumors beginning in 2018. We leveraged these new data to estimate the national-level overall survival (OS) patterns associated with glioma integrated diagnoses. METHODS Individuals diagnosed with diffuse gliomas in 2018 and had brain molecular marker data were identified within the U.S. National Cancer Database. OS was estimated using Kaplan-Meier methods and stratified by WHO CNS grade, age, sex, tumor size, treatment, extent of resection, and MGMT promoter methylation. Additionally, the effects of WHO CNS grade were examined among individuals with IDH-wildtype astrocytic gliomas. RESULTS 8651 individuals were identified. One-year OS was 53.7% for WHO grade 4 IDH-wildtype glioblastomas; 98.0%, 92.4%, and 76.3% for WHO grade 2, 3, and 4 IDH-mutant astrocytomas, respectively; 97.9% and 94.4% for WHO grade 2 and 3 IDH-mutant 1p/19q-codeleted oligodendrogliomas, respectively; and 55.9% for H3 K27M-mutant diffuse midline gliomas. Among IDH-wildtype glioblastomas, median OS was 17.1 months and 12.4 months for methylated and unmethylated MGMT promoters. Additionally, IDH-wildtype diffuse astrocytic gliomas reported as WHO grade 2 or 3 demonstrated longer OS compared to grade 4 tumors (both P < .001). CONCLUSIONS Our findings provide the initial national OS estimates for molecularly-defined diffuse gliomas in the United States and illustrate the importance of incorporating such data into cancer registry reporting.
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Affiliation(s)
- Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Madison L Shoaf
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
| | - Gino Cioffi
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kristin Waite
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
| | - Patrick Y Wen
- Division of Neuro-Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Daniel J Brat
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jill S Barnholtz-Sloan
- Central Brain Tumor Registry of the United States, Hinsdale, IL, USA
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Center for Biomedical Informatics & Information Technology, National Cancer Institute, Bethesda, MD, USA
| | - J Bryan Iorgulescu
- Division of Pathology and Laboratory Medicine, MD Anderson Cancer Center, Houston, TX, USA
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Ding J, Li X, Khan S, Zhang C, Gao F, Sen S, Wasylishen AR, Zhao Y, Lozano G, Koul D, Alfred Yung WK. EGFR suppresses p53 function by promoting p53 binding to DNA-PKcs: a noncanonical regulatory axis between EGFR and wild-type p53 in glioblastoma. Neuro Oncol 2022; 24:1712-1725. [PMID: 35474131 PMCID: PMC9527520 DOI: 10.1093/neuonc/noac105] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Epidermal growth factor receptor (EGFR) amplification and TP53 mutation are the two most common genetic alterations in glioblastoma multiforme (GBM). A comprehensive analysis of the TCGA GBM database revealed a subgroup with near mutual exclusivity of EGFR amplification and TP53 mutations indicative of a role of EGFR in regulating wild-type-p53 (wt-p53) function. The relationship between EGFR amplification and wt-p53 function remains undefined and this study describes the biological significance of this interaction in GBM. METHODS Mass spectrometry was used to identify EGFR-dependent p53-interacting proteins. The p53 and DNA-dependent protein kinase catalytic subunit (DNA-PKcs) interaction was detected by co-immunoprecipitation. We used CRISPR-Cas9 gene editing to knockout EGFR and DNA-PKcs and the Edit-R CRIPSR-Cas9 system for conditional knockout of EGFR. ROS activity was measured with a CM-H2DCFDA probe, and real-time PCR was used to quantify expression of p53 target genes. RESULTS Using glioma sphere-forming cells (GSCs), we identified, DNA-PKcs as a p53 interacting protein that functionally inhibits p53 activity. We demonstrate that EGFR knockdown increased wt-p53 transcriptional activity, which was associated with decreased binding between p53 and DNA-PKcs. We further show that inhibition of DNA-PKcs either by siRNA or an inhibitor (nedisertib) increased wt-p53 transcriptional activity, which was not enhanced further by EGFR knockdown, indicating that EGFR suppressed wt-p53 activity through DNA-PKcs binding with p53. Finally, using conditional EGFR-knockout GSCs, we show that depleting EGFR increased animal survival in mice transplanted with wt-p53 GSCs. CONCLUSION This study demonstrates that EGFR signaling inhibits wt-p53 function in GBM by promoting an interaction between p53 and DNA-PKcs.
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Affiliation(s)
- Jie Ding
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Xiaolong Li
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sabbir Khan
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Chen Zhang
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Feng Gao
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shayak Sen
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Amanda R Wasylishen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yang Zhao
- Department of Dermatology, Stanford University School of Medicine, Stanford, California, USA
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Guillermina Lozano
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Dimpy Koul
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - W K Alfred Yung
- Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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11
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Ellingson BM, Levin VA, Cloughesy TF. Radiographic Response Assessment Strategies for Early-Phase Brain Trials in Complex Tumor Types and Drug Combinations: from Digital "Flipbooks" to Control Systems Theory. Neurotherapeutics 2022; 19:1855-1868. [PMID: 35451676 PMCID: PMC9723080 DOI: 10.1007/s13311-022-01241-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/12/2022] [Indexed: 12/14/2022] Open
Abstract
There is an urgent need for drug development in brain tumors. While current radiographic response assessment provides instructions for identifying large treatment effects in simple high- and low-grade gliomas, there remains a void of strategies to evaluate complex or difficult to measure tumors or tumors of mixed grade with enhancing and non-enhancing components. Furthermore, most patients exhibit some period of alteration in tumor growth after starting a new therapy, but simple response categorization (e.g., stable disease, progressive disease) fails to provide any meaningful insight into the depth or degree of potential "subclinical" therapeutic response. We propose a creative solution to these issues based on a tiered strategy meant to increase confidence in identifying therapeutic effects even in the most challenging tumor types, while also providing a framework for complex evaluation of combination and sequential treatment schemes. Specifically, we demonstrate the utility of digital "flipbooks" to quickly identify subtle changes in complex tumors. We show how a modified Levin criteria can be used to quantify the degree of visual changes, while establishing estimates of the association between tumor volume and visual inspection. Lastly, we introduce the concept of quantifying therapeutic response using control systems theory. We propose measuring changes in volume (proportional), the area under the volume vs. time curve (integral) and changes in growth rates (derivative) to utilize a "PID" controller model of single or combination therapeutic activity.
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Affiliation(s)
- Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Radiologic Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- David Geffen School of Medicine, UCLA Brain Tumor Program, University of California Los Angeles, Los Angeles, CA, USA.
| | - Victor A Levin
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, UCSF Medical School, San Francisco, CA, USA
| | - Timothy F Cloughesy
- David Geffen School of Medicine, UCLA Brain Tumor Program, University of California Los Angeles, Los Angeles, CA, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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12
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Ostrom QT, Price M, Ryan K, Edelson J, Neff C, Cioffi G, Waite KA, Kruchko C, Barnholtz-Sloan JS. CBTRUS Statistical Report: Pediatric Brain Tumor Foundation Childhood and Adolescent Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014-2018. Neuro Oncol 2022; 24:iii1-iii38. [PMID: 36066969 PMCID: PMC9447434 DOI: 10.1093/neuonc/noac161] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The CBTRUS Statistical Report: Pediatric Brain Tumor Foundation Childhood and Adolescent Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014-2018 comprehensively describes the current population-based incidence of primary malignant and non-malignant brain and other CNS tumors in children and adolescents ages 0-19 years, collected and reported by central cancer registries covering approximately 100% of the United States population. Overall, brain and other CNS tumors are the most common solid tumor, the most common cancer, and the most common cause of cancer death in children and adolescents ages 0-19 years. This report aims to serve as a useful resource for researchers, clinicians, patients, and families.
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Affiliation(s)
- Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Mackenzie Price
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Katherine Ryan
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jacob Edelson
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
| | - Corey Neff
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Gino Cioffi
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
| | - Kristin A Waite
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Jill S Barnholtz-Sloan
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
- Center for Biomedical Informatics & Information Technology (CBIIT), National Cancer Institute, Bethesda, USA
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13
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Waite KA, Cioffi G, Kruchko C, Patil N, Brat DJ, Bruner JM, McLendon RE, Tihan T, Ostrom QT, Barnholtz-Sloan JS. Aligning the Central Brain Tumor Registry of the United States (CBTRUS) histology groupings with current definitions. Neurooncol Pract 2022; 9:317-327. [PMID: 35859542 PMCID: PMC9290890 DOI: 10.1093/nop/npac025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background The Central Brain Tumor Registry of the United States (CBTRUS) uses a histology grouping model based on the World Health Organization (WHO) classifications to group records for clinically relevant statistical reporting. Newly identified genetic markers more accurately stratify patients than histology alone and were incorporated into the 2016 update to the WHO Classification. Methods CBTRUS and consulting neuropathologists reviewed and aligned histology groupings with the 2016 WHO update. "Obsolete" (terms not currently in use) histology nomenclature along with their International Classification of Disease, Oncology 3rd edition (ICD-O-3) codes were identified, some histologies were reclassified to 2016 WHO, and new codes found in 2016 WHO were incorporated. An evaluation of the frequency of histology codes affected in the realignment process, and incidence and survival pre- and post-realignment was conducted. Results After review, 67 codes were noted as obsolete, 51 codes were reclassified, and 12 new codes were incorporated. Histology groups most affected were mesenchymal tumors and neuronal/mixed neuronal-glial tumors. Reorganization resulted in 2588 (0.65%) cases with grouping reassignment or reporting change, indicating that the 2016 WHO Classification revision has impacted the collection and reporting of primary brain and other CNS tumors. Conclusion This work demonstrates the need to be responsive to changes in classification and coding in order to ensure the most up-to-date and accurate statistics for brain and CNS tumors. This will require collaboration from all stakeholders within the brain tumor community, so to have the ability to reconcile clinical practices and surveillance requirements.
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Affiliation(s)
| | | | - Carol Kruchko
- Central Brain Tumor Registry of the United States (CBTRUS), Hinsdale, Illinois, USA
| | | | - Daniel J Brat
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Janet M Bruner
- Department of Pathology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Roger E McLendon
- Department of Pathology, Duke University Medical Center Durham, North Carolina, USA
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, North Carolina, USA
| | - Tarik Tihan
- Department of Pathology, Division of Neuropathology, University of California San Francisco, San Francisco, California, USA
| | | | - Jill S Barnholtz-Sloan
- Corresponding Author: Jill S. Barnholtz-Sloan, PhD, National Institutes of Health, National Cancer Institute, Bethesda, Maryland, 20892, USA ()
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14
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Erratum to: Environmental and sex-specific molecular signatures of glioma causation. Neuro Oncol 2022:noac182. [PMID: 35904892 DOI: 10.1093/neuonc/noac182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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15
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Abstract
Biological sex impacts a wide array of molecular and cellular functions that impact organismal development and can influence disease trajectory in a variety of pathophysiological states. In nonreproductive cancers, epidemiological sex differences have been observed in a series of tumors, and recent work has identified previously unappreciated sex differences in molecular genetics and immune response. However, the extent of these sex differences in terms of drivers of tumor growth and therapeutic response is less clear. In glioblastoma (GBM), the most common primary malignant brain tumor, there is a male bias in incidence and outcome, and key genetic and epigenetic differences, as well as differences in immune response driven by immune-suppressive myeloid populations, have recently been revealed. GBM is a prototypic tumor in which cellular heterogeneity is driven by populations of therapeutically resistant cancer stem cells (CSCs) that underlie tumor growth and recurrence. There is emerging evidence that GBM CSCs may show a sex difference, with male tumor cells showing enhanced self-renewal, but how sex differences impact CSC function is not clear. In this mini-review, we focus on how sex hormones may impact CSCs in GBM and implications for other cancers with a pronounced CSC population. We also explore opportunities to leverage new models to better understand the contribution of sex hormones vs sex chromosomes to CSC function. With the rising interest in sex differences in cancer, there is an immediate need to understand the extent to which sex differences impact tumor growth, including effects on CSC function.
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Affiliation(s)
- Juyeun Lee
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic
| | - Katie Troike
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University
| | - R’ay Fodor
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University
| | - Justin D Lathia
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic
- Case Comprehensive Cancer Center
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16
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Robert SM, Vetsa S, Nadar A, Vasandani S, Youngblood MW, Gorelick E, Jin L, Marianayagam N, Erson-Omay EZ, Günel M, Moliterno J. The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications. J Neurooncol 2021; 156:205-214. [PMID: 34846640 PMCID: PMC8816740 DOI: 10.1007/s11060-021-03874-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/09/2021] [Indexed: 12/28/2022]
Abstract
Introduction Meningiomas are generally considered “benign,” however, these tumors can demonstrate variability in behavior and a surprising aggressiveness with elevated rates of recurrence. The advancement of next-generation molecular technologies have led to the understanding of the genomic and epigenomic landscape of meningiomas and more recent correlations with clinical characteristics and behavior. Methods Based on a thorough review of recent peer-reviewed publications (PubMed) and edited texts, we provide a molecular overview of meningiomas with a focus on relevant clinical implications. Results The identification of specific somatic driver mutations has led to the classification of several major genomic subgroups, which account for more than 80% of sporadic meningiomas, and can be distinguished using noninvasive clinical variables to help guide management decisions. Other somatic genomic modifications, including non-coding alterations and copy number variations, have also been correlated with tumor characteristics. Furthermore, epigenomic modifications in meningiomas have recently been described, with DNA methylation being the most widely studied and potentially most clinically relevant. Based on these molecular insights, several clinical trials are currently underway in an effort to establish effective medical therapeutic options for meningioma. Conclusion As we enhance our multiomic understanding of meningiomas, our ability to care for patients with these tumors will continue to improve. Further biological insights will lead to additional progress in precision medicine for meningiomas.
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Affiliation(s)
- Stephanie M Robert
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
| | - Shaurey Vetsa
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Arushii Nadar
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Sagar Vasandani
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Evan Gorelick
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Lan Jin
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
| | - Neelan Marianayagam
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - E Zeynep Erson-Omay
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Murat Günel
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Jennifer Moliterno
- Department of Neurosurgery, Yale School of Medicine, 15 York St, LLCI 810, New Haven, CT, 06520-8082, USA.
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA.
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17
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He C, Xu K, Zhu X, Dunphy PS, Gudenas B, Lin W, Twarog N, Hover LD, Kwon CH, Kasper LH, Zhang J, Li X, Dalton J, Jonchere B, Mercer KS, Currier DG, Caufield W, Wang Y, Xie J, Broniscer A, Wetmore C, Upadhyaya SA, Qaddoumi I, Klimo P, Boop F, Gajjar A, Zhang J, Orr BA, Robinson GW, Monje M, Freeman Iii BB, Roussel MF, Northcott PA, Chen T, Rankovic Z, Wu G, Chiang J, Tinkle CL, Shelat AA, Baker SJ. Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma. Nat Commun 2021; 12:4089. [PMID: 34215733 PMCID: PMC8253809 DOI: 10.1038/s41467-021-24168-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 05/25/2021] [Indexed: 01/02/2023] Open
Abstract
Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities. Here we report establishment of 21 patient-derived pHGG orthotopic xenograft (PDOX) models and eight matched cell lines from diverse groups of pHGG. These models recapitulate histopathology, DNA methylation signatures, mutations and gene expression patterns of the patient tumors from which they were derived, and include rare subgroups not well-represented by existing models. We deploy 16 new and existing cell lines for high-throughput screening (HTS). In vitro HTS results predict variable in vivo response to PI3K/mTOR and MEK pathway inhibitors. These unique new models and an online interactive data portal for exploration of associated detailed molecular characterization and HTS chemical sensitivity data provide a rich resource for pediatric brain tumor research.
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Affiliation(s)
- Chen He
- Department of Developmental Neurobiology, Memphis, TN, USA
| | - Ke Xu
- Center for Applied Bioinformatics, Memphis, TN, USA
- Department of Computational Biology, Memphis, TN, USA
| | - Xiaoyan Zhu
- Department of Developmental Neurobiology, Memphis, TN, USA
| | - Paige S Dunphy
- Department of Developmental Neurobiology, Memphis, TN, USA
- Department of Oncology, Memphis, TN, USA
| | - Brian Gudenas
- Department of Developmental Neurobiology, Memphis, TN, USA
| | - Wenwei Lin
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - Nathaniel Twarog
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - Laura D Hover
- Department of Developmental Neurobiology, Memphis, TN, USA
| | | | | | - Junyuan Zhang
- Department of Developmental Neurobiology, Memphis, TN, USA
| | - Xiaoyu Li
- Department of Pathology, Memphis, TN, USA
| | | | | | | | - Duane G Currier
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - William Caufield
- Preclinical Pharmacokinetics Shared Resource St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yingzhe Wang
- Preclinical Pharmacokinetics Shared Resource St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jia Xie
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - Alberto Broniscer
- Division of Hematology-Oncology, Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Paul Klimo
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Frederick Boop
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Jinghui Zhang
- Department of Computational Biology, Memphis, TN, USA
| | | | | | - Michelle Monje
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Burgess B Freeman Iii
- Preclinical Pharmacokinetics Shared Resource St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | | | - Taosheng Chen
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - Zoran Rankovic
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA
| | - Gang Wu
- Center for Applied Bioinformatics, Memphis, TN, USA
- Department of Computational Biology, Memphis, TN, USA
| | | | - Christopher L Tinkle
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Anang A Shelat
- Department of Chemical Biology and Therapeutics, Memphis, TN, USA.
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18
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Cioffi G, Yeboa DN, Kelly M, Patil N, Manzoor N, Greppin K, Takaoka K, Waite K, Kruchko C, Barnholtz-Sloan JS. Epidemiology of vestibular schwannoma in the United States, 2004-2016. Neurooncol Adv 2020; 2:vdaa135. [PMID: 33241216 PMCID: PMC7672330 DOI: 10.1093/noajnl/vdaa135] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background Vestibular schwannomas (VS) are nonmalignant tumors of the eighth cranial nerve and are the most common nonmalignant nerve sheath tumor. This study provides the most comprehensive and current analysis of VS epidemiology in the United States. Methods Incidence data were obtained from the Central Brain Tumor Registry of the United States, from 2004 to 2016 for VS. Age-adjusted incidence rates (AAIRs), rate ratios (AAIRRs), and prevalence ratios (AAPRs) per 100 000 were analyzed by age, sex, race and ethnicity, and laterality. Additional analyses were performed to assess differences in treatment, laterality, and diagnostic confirmation. Results Incidence of VS was highest among adults (aged 65–74 years, AAIR: 3.18, 95% confidence interval [CI]: 3.15–3.25). However, there was a much higher distribution of bilateral tumors compared to unilateral in children aged 0–19 years (28.5% vs 1.0%, P < .001). VS incidence was highest among white non-Hispanics (AAIR:1.30, 95% CI: 1.29–1. 31) and lowest among black non-Hispanics. Incidence of radiographically confirmed VS increased from 2004 to 2016 (annual percent change: 1.64, 95% CI: 0.15–3.16, P = .03). For treatment, 40.1% received surgery, while only 23.7% received radiation. There were an estimated 44 762 prevalent cases of VS in 2016 (AAPR: 12.17, 95% CI: 12.06–12.29). Conclusions VS incidence and prevalence are highest among adults and white non-Hispanics. Bilateral VS was more common among children. There was an increase of radiographically confirmed VS over time. A higher proportion of patients received surgical treatment than radiotherapy. Population-based statistics provide healthcare professionals with vital information regarding disease burden and help improve patient care.
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Affiliation(s)
- Gino Cioffi
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Cleveland Center for Health Outcomes Research (CCHOR), Cleveland, Ohio, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Debra N Yeboa
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Michael Kelly
- Department of Pediatrics, Northeast Ohio Medical University, Rootstown, Ohio, USA
| | - Nirav Patil
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- University Hospitals Research and Education Institute, Cleveland, Ohio, USA
| | - Nauman Manzoor
- Ear Nose and Throat Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | | | | | - Kristin Waite
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Cleveland Center for Health Outcomes Research (CCHOR), Cleveland, Ohio, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Jill S Barnholtz-Sloan
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Cleveland Center for Health Outcomes Research (CCHOR), Cleveland, Ohio, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- University Hospitals Health Systems, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Cleveland, Ohio, USA
- Corresponding Author: Jill S. Barnholtz-Sloan, PhD, Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, 2103 Cornell Rd, WRB 2–526, Cleveland, OH 44106, USA ()
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19
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Boxerman JL, Quarles CC, Hu LS, Erickson BJ, Gerstner ER, Smits M, Kaufmann TJ, Barboriak DP, Huang RH, Wick W, Weller M, Galanis E, Kalpathy-Cramer J, Shankar L, Jacobs P, Chung C, van den Bent MJ, Chang S, Al Yung WK, Cloughesy TF, Wen PY, Gilbert MR, Rosen BR, Ellingson BM, Schmainda KM. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol 2020; 22:1262-1275. [PMID: 32516388 PMCID: PMC7523451 DOI: 10.1093/neuonc/noaa141] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40-50 ms at 1.5 T, 20-35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
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Affiliation(s)
- Jerrold L Boxerman
- Department of Diagnostic Imaging, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the American Society of Neuroradiology (ASNR)
- Representative of the American Society of Functional Neuroradiology (ASFNR)
| | - Chad C Quarles
- Department of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Leland S Hu
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA
- Representative of the Alliance for Clinical Trials in Oncology
- Representative of the American Society of Neuroradiology (ASNR)
| | - Bradley J Erickson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Elizabeth R Gerstner
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC–University Medical Center Rotterdam, Rotterdam, Netherlands
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Timothy J Kaufmann
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Daniel P Barboriak
- Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Raymond H Huang
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Wolfgang Wick
- Department of Neurooncology, National Center of Tumor Disease, University Clinic Heidelberg, Heidelberg, Germany
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Evanthia Galanis
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Jayashree Kalpathy-Cramer
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Paula Jacobs
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Martin J van den Bent
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Susan Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - W K Al Yung
- Department of Neuro-Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
| | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute (NCI), Bethesda, Maryland, USA
- Representative of the Radiation Therapy Oncology Group (RTOG)
| | - Bruce R Rosen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Ellingson
- UCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Departments of Radiological Sciences, Psychiatry, and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
- Representative of the Ivy Consortium for Early Phase Clinical Trials
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Kathleen M Schmainda
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
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20
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Abstract
At the time of their clinical manifestation, the heterogeneous group of adult and pediatric gliomas carries a wide range of diverse somatic genomic alterations, ranging from somatic single-nucleotide variants to structural chromosomal rearrangements. Somatic abnormalities may have functional consequences, such as a decrease, increase or change in mRNA transcripts, and cells pay a penalty for maintaining them. These abnormalities, therefore, must provide cells with a competitive advantage to become engrained into the glioma genome. Here, we propose a model of gliomagenesis consisting of the following five consecutive phases that glioma cells have traversed prior to clinical manifestation: (I) initial growth; (II) oncogene-induced senescence; (III) stressed growth; (IV) replicative senescence/crisis; (V) immortal growth. We have integrated the findings from a large number of studies in biology and (neuro)oncology and relate somatic alterations and other results discussed in these papers to each of these five phases. Understanding the story that each glioma tells at presentation may ultimately facilitate the design of novel, more effective therapeutic approaches.
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Affiliation(s)
- Floris P Barthel
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA.
- Department of Pathology, VU University Medical Center/Brain Tumor Center Amsterdam, Amsterdam, The Netherlands.
| | - Pieter Wesseling
- Department of Pathology, VU University Medical Center/Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Department of Pathology, Princess Máxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roel G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
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21
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Lenting K, Verhaak R, Ter Laan M, Wesseling P, Leenders W. Glioma: experimental models and reality. Acta Neuropathol 2017; 133:263-282. [PMID: 28074274 PMCID: PMC5250671 DOI: 10.1007/s00401-017-1671-4] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 01/06/2017] [Accepted: 01/06/2017] [Indexed: 12/12/2022]
Abstract
In theory, in vitro and in vivo models for human gliomas have great potential to not only enhance our understanding of glioma biology, but also to facilitate the development of novel treatment strategies for these tumors. For reliable prediction and validation of the effects of different therapeutic modalities, however, glioma models need to comply with specific and more strict demands than other models of cancer, and these demands are directly related to the combination of genetic aberrations and the specific brain micro-environment gliomas grow in. This review starts with a brief introduction on the pathological and molecular characteristics of gliomas, followed by an overview of the models that have been used in the last decades in glioma research. Next, we will discuss how these models may play a role in better understanding glioma development and especially in how they can aid in the design and optimization of novel therapies. The strengths and weaknesses of the different models will be discussed in light of genotypic, phenotypic and metabolic characteristics of human gliomas. The last part of this review provides some examples of how therapy experiments using glioma models can lead to deceptive results when such characteristics are not properly taken into account.
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Affiliation(s)
- Krissie Lenting
- Department of Pathology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Roel Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Mark Ter Laan
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Pieter Wesseling
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
- Department of Pathology, Princess Máxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - William Leenders
- Department of Pathology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
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