CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013–2017
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Kruchko, 2018, The CBTRUS story: providing accurate population-based statistics on brain and other central nervous system tumors for everyone, Neuro. Oncol., 20, 295, 10.1093/neuonc/noy006
Louis, 2007, WHO Classification of Tumours of the Central Nervous System
Ostrom, 2014, CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007-2011, Neuro. Oncol., 16, iv1, 10.1093/neuonc/nou223
Centers for Disease Control and Prevention (CDC), 1999
Wiśniewski, 2009, Universal sample preparation method for proteome analysis, Nature methods., 6, 359, 10.1038/nmeth.1322
2002
National Cancer Institute
Walker, 2019, Malignant primary brain and other central nervous system tumors diagnosed in Canada from 2009 to 2013, Neuro. Oncol., 21, 360, 10.1093/neuonc/noy195
Wohrer, 2009, The Austrian Brain Tumour Registry: a cooperative way to establish a population-based brain tumour registry, Journal of neuro-oncology, 95, 401, 10.1007/s11060-009-9938-9
Asklund, 2015, Brain tumors in Sweden: data from a population-based registry 1999-2012, Acta oncologica, 54, 377, 10.3109/0284186X.2014.975369
Centers for Disease Control and Prevention National Center for Health Statistics, 2020, National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: U.S. Cancer Statistics Incidence Analytic Database – 2001-2017
Fritz, 2000, International Classification of Diseases for Oncology
Surveillance Epidemiology and End Results (SEER) Program., 2019
Standards for Cancer Registries Volume III: Standards for Completeness, Quality, Analysis, Management, Security and Confidentiality of Data, 2008
Bray, 2017, Data Comparability and Quality, Cancer Incidence in Five Continents, Vol. XI (electronic version)
McCarthy, 2002, Consensus Conference on Brain Tumor Definition for registration. November 10, 2000, Neuro. Oncol., 134
Surveillance Research Program - National Cancer Institute, 2008
Steliarova-Foucher, 2005, International Classification of Childhood Cancer, third edition, Cancer., 103, 1457, 10.1002/cncr.20910
Swerdlow, 2007, WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues
Kleihues, 2000, Tumours of the nervous system: World Health Organization classification of tumours
Louis, 2016, WHO Classification of Tumours of the Central Nervous System
American Joint Committee on Cancer, 2020
Ostrom, 2016, Completeness of required site-specific factors for brain and CNS tumors in the Surveillance, Epidemiology and End Results (SEER) 18 database (2004-2012, varying), J Neurooncol, 130, 31, 10.1007/s11060-016-2217-7
Lym, 2015, Completeness and concordancy of WHO grade assignment for brain and central nervous system tumors in the United States, 2004-2011, J. Neurooncol., 10.1007/s11060-015-1775-4
Surveillance Research Program - National Cancer Institute., 2019
R Core Team, 2020
Surveillance Epidemiology and End Results (SEER) Program, 2020
Luo, 2012
Gohel, 2020
Gohel, 2020
Hočevar, 2016, Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs, 2016, 71, 24
Wickham, 2019, Welcome to the Tidyverse, Journal of Open Source Software, 4, 1686, 10.21105/joss.01686
Sievert, 2020
Xie, 2020
Walker, 2020
Kassambara, 2020
Pebesma, 2018, Simple Features for R: Standardized Support for Spatial Vector Data, The R Journal, 10, 439, 10.32614/RJ-2018-009
NAACCR Race and Ethnicity Work Group, 2012
United States Department of Agriculture, 2013
Surveillance Epidemiology and End Results (SEER) Program
Tiwari, 2006, Efficient interval estimation for age-adjusted cancer rates, Stat. Methods Med. Res., 547
Fay, 2006, Estimating average annual percent change for disease rates without assuming constant change, Biometrics., 62, 847, 10.1111/j.1541-0420.2006.00528.x
2020
Kim, 2000, Permutation tests for joinpoint regression with applications to cancer rates, Stat. Med., 19, 335, 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
Zhu, 2012, Predicting US- and state-level cancer counts for the current calendar year: Part II: evaluation of spatiotemporal projection methods for incidence, Cancer., 118, 1100, 10.1002/cncr.27405
Chu, 1994, A method for partitioning cancer mortality trends by factors associated with diagnosis: an application to female breast cancer, J. Clin. Epidemiol., 47, 1451, 10.1016/0895-4356(94)90089-2
Surveillance Epidemiology and End Results (SEER) Program, 2020, SEER*Stat Database: Incidence - SEER Research Data, 9 Registries, Nov 2019 Sub (1975-2017) - Linked To County Attributes - Time Dependent (1990-2017) Income/Rurality, 1969-2017 Counties
Louis, 2016, The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary, Acta Neuropathol., 131, 803, 10.1007/s00401-016-1545-1
Ferlay, Histological groups., Cancer Incidence in Five Continents Volume XI2019
Surveillance Epidemiology and End Results (SEER) Program
Ostrom, 2020, Pilocytic astrocytomas: where do they belong in cancer reporting?, Neuro. Oncol., 22, 298
Edwards, 2014, Annual Report to the Nation on the status of cancer, 1975-2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer, Cancer, 120, 1290, 10.1002/cncr.28509
Zullig, 2012, Cancer incidence among patients of the U.S. Veterans Affairs Health Care System, Mil. Med., 177, 693, 10.7205/MILMED-D-11-00434
Clegg, 2002, Impact of reporting delay and reporting error on cancer incidence rates and trends, J. Natl. Cancer Inst, 1537
Midthune, 2005, Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data, Journal of the American Statistical Association, 100, 61, 10.1198/016214504000001899
Surveillance Epidemiology and End Results (SEER) Program, 2020
Li, 2016, Are Benign and Borderline Brain Tumors Underreported?, J Registry Manag., 43, 187
Anderson, 1998, Report of the Second Workshop on Age Adjustment, Vital Health Stat. 4., I-vi, 1
Anderson, 1998, Age standardization of death rates: implementation of the year 2000 standard, Natl. Vital Stat. Rep., 47, 1
L., 2018
Johnson, 2007, The 2007 Multiple Primary and Histology Coding Rules
Ostrom, 2018, Females have the survival advantage in glioblastoma, Neuro. Oncol., 20, 576, 10.1093/neuonc/noy002
Ostrom, 2018, Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014, JAMA Oncol, 4, 1254, 10.1001/jamaoncol.2018.1789
Zhang, 2016, Complete prevalence of malignant primary brain tumors registry data in the United States compared with other common cancers, 2010, Neuro. Oncol., 10.1093/neuonc/now252
Gittleman, 2018, Survivorship in Adults with Malignant Brain and other Central Nervous System Tumor from 2000-2014, Neuro. Oncol., 10.1093/neuonc/noy090
2012, DevCan: Probability of Developing or Dying of Cancer Software, Version 6.7.7 Surveillance Research Program, Statistical Methodology and Applications
Fay, 2003, Age-conditional probabilities of developing cancer, Stat. Med., 22, 1837, 10.1002/sim.1428
Fay, 2004, Estimating age conditional probability of developing disease from surveillance data, Population health metrics., 2, 6, 10.1186/1478-7954-2-6
Surveillance Epidemiology and End Results (SEER) Program, DevCan database: “SEER 18 Incidence and Mortality, 2000-2016, with Kaposi Sarcoma and Mesothelioma”
Braganza, 2012, Ionizing radiation and the risk of brain and central nervous system tumors: a systematic review, Neuro. Oncol., 14, 1316, 10.1093/neuonc/nos208
Amirian, 2016, Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study, Cancer Epidemiol Biomarkers Prev., 25, 282, 10.1158/1055-9965.EPI-15-0847
Malmer, 2003, Familial brain tumours—genetics or environment? A nationwide cohort study of cancer risk in spouses and first-degree relatives of brain tumour patients, Int. J. Cancer., 106, 260, 10.1002/ijc.11213
Wrensch, 1997, Familial and personal medical history of cancer and nervous system conditions among adults with glioma and controls, Am. J. Epidemiol., 145, 581, 10.1093/oxfordjournals.aje.a009154
Malmer, 1999, Familial aggregation of astrocytoma in northern Sweden: An epidemiological cohort study, Int. J. Cancer., 81, 366, 10.1002/(SICI)1097-0215(19990505)81:3<366::AID-IJC9>3.0.CO;2-0
Hill, 2003, Cancer in first-degree relatives and risk of glioma in adults, Cancer Epidemiol Biomarkers Prev., 12, 1443
Scheurer, 2007, Aggregation of cancer in first-degree relatives of patients with glioma, Cancer Epidemiol Biomarkers Prev., 16, 2491, 10.1158/1055-9965.EPI-07-0576
Claus, 2011, Family and personal medical history and risk of meningioma, J Neurosurg., 115, 1072, 10.3171/2011.6.JNS11129
Ostrom, 2014, The epidemiology of glioma in adults: a “state of the science” review, Neuro. Oncol., 16, 896, 10.1093/neuonc/nou087
Johnson, 2014, Childhood brain tumor epidemiology: a brain tumor epidemiology consortium review, Cancer Epidemiol Biomarkers Prev., 23, 2716, 10.1158/1055-9965.EPI-14-0207
Wiemels, 2010, Epidemiology and etiology of meningioma, J. Neurooncol., 99, 307, 10.1007/s11060-010-0386-3
Ostrom, 2019, Risk Factors For Childhood And Adult Primary Brain Tumors, Neuro. Oncol., 10.1093/neuonc/noz123
Scheie, 2019, Biomarkers in tumors of the central nervous system - a review, APMIS., 127, 265, 10.1111/apm.12916
Velazquez Vega, 2018, Incorporating Advances in Molecular Pathology Into Brain Tumor Diagnostics, Adv. Anat. Pathol., 25, 143, 10.1097/PAP.0000000000000186
Guerreiro Stucklin, 2018, Review of molecular classification and treatment implications of pediatric brain tumors, Curr. Opin. Pediatr., 30, 3, 10.1097/MOP.0000000000000562
Reifenberger, 2017, Advances in the molecular genetics of gliomas - implications for classification and therapy, Nat. Rev. Clin. Oncol., 14, 434, 10.1038/nrclinonc.2016.204
Cairncross, 1998, Specific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas, J. Natl. Cancer. Inst., 90, 1473, 10.1093/jnci/90.19.1473
Cairncross, 2013, Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402, J. Clin. Oncol., 31, 337, 10.1200/JCO.2012.43.2674
Vogelbaum, 2015, Phase II trial of pre-irradiation and concurrent temozolomide in patients with newly diagnosed anaplastic oligodendrogliomas and mixed anaplastic oligoastrocytomas: long term results of RTOG BR0131, J. Neurooncol., 124, 413, 10.1007/s11060-015-1845-7
van den Bent, 2013, Adjuvant procarbazine, lomustine, and vincristine chemotherapy in newly diagnosed anaplastic oligodendroglioma: long-term follow-up of EORTC brain tumor group study 26951, J. Clin. Oncol., 31, 344, 10.1200/JCO.2012.43.2229
Eckel-Passow, 2015, Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors, N. Engl. J. Med., 372, 2499, 10.1056/NEJMoa1407279
The Cancer Genome Atlas Research Network, 2015, Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas, N. Engl. J. Med., 372, 2481, 10.1056/NEJMoa1402121
Qi, 2014, Isocitrate dehydrogenase mutation is associated with tumor location and magnetic resonance imaging characteristics in astrocytic neoplasms, Oncol. Lett., 7, 1895, 10.3892/ol.2014.2013
Paldor, 2016, Frontal glioblastoma multiforme may be biologically distinct from non-frontal and multilobar tumors, J Clin Neurosci., 34, 128, 10.1016/j.jocn.2016.05.017
Ceccarelli, 2016, Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma, Cell., 164, 550, 10.1016/j.cell.2015.12.028
Hegi, 2005, MGMT gene silencing and benefit from temozolomide in glioblastoma, N. Engl. J. Med., 352, 997, 10.1056/NEJMoa043331
Hegi, 2008, Correlation of O6-methylguanine methyltransferase (MGMT) promoter methylation with clinical outcomes in glioblastoma and clinical strategies to modulate MGMT activity, J. Clin. Oncol., 26, 4189, 10.1200/JCO.2007.11.5964
Stupp, 2007, Chemoradiotherapy in malignant glioma: standard of care and future directions, J. Clin. Oncol., 25, 4127, 10.1200/JCO.2007.11.8554
Noushmehr, 2010, Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma, Cancer Cell., 17, 510, 10.1016/j.ccr.2010.03.017
van den Bent, 2013, MGMT-STP27 methylation status as predictive marker for response to PCV in anaplastic Oligodendrogliomas and Oligoastrocytomas. A report from EORTC study 26951, Clin. Cancer Res., 19, 5513, 10.1158/1078-0432.CCR-13-1157
Kool, 2012, Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas, Acta Neuropathol., 123, 473, 10.1007/s00401-012-0958-8
Northcott, 2012, Molecular subgroups of medulloblastoma, Expert Rev. Neurother., 12, 871, 10.1586/ern.12.66
Northcott, 2012, Medulloblastomics: the end of the beginning, Nat. Rev. Cancer., 12, 818, 10.1038/nrc3410
Northcott, 2017, The whole-genome landscape of medulloblastoma subtypes, Nature., 547, 311, 10.1038/nature22973
Jones, 2014, Unique genetic and epigenetic mechanisms driving paediatric diffuse high-grade glioma, Nat. Rev. Cancer., 14, 10.1038/nrc3811
Wu, 2014, The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma, Nat. Genet., 46, 444, 10.1038/ng.2938
Mackay, 2017, Integrated Molecular Meta-Analysis of 1,000 Pediatric High-Grade and Diffuse Intrinsic Pontine Glioma, Cancer Cell, 32, 520, 10.1016/j.ccell.2017.08.017
Hoffman, 2016, Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics, Acta Neuropathol. Commun., 4, 1, 10.1186/s40478-015-0269-0
Grill, 2012, Critical oncogenic mutations in newly diagnosed pediatric diffuse intrinsic pontine glioma, Pediatr. Blood Cancer., 58, 489, 10.1002/pbc.24060
Lapin, 2017, Genomic Insights into Diffuse Intrinsic Pontine Glioma, Front. Oncol., 7, 57, 10.3389/fonc.2017.00057
Ostrom, 2016, Completeness of required site-specific factors for brain and CNS tumors in the Surveillance, Epidemiology and End Results (SEER) 18 database (2004-2012, varying), J. Neurooncol, 130, 31, 10.1007/s11060-016-2217-7
Weir, 2014, Evaluation of North American Association of Central Cancer Registries’ (NAACCR) data for use in population-based cancer survival studies, Journal of the National Cancer Institute Monogr., 2014, 198, 10.1093/jncimonographs/lgu018
Wilson, 2014, Coding completeness and quality of relative survival-related variables in the National Program of Cancer Registries Cancer Surveillance System, 1995-2008, J Registry Manag, 41, 65
Kleihues, 1993, The new WHO classification of brain tumours, Brain Pathol., 3, 255, 10.1111/j.1750-3639.1993.tb00752.x
van den Bent, 2010, Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician’s perspective, Acta Neuropathol., 120, 297, 10.1007/s00401-010-0725-7
Aldape, 2000, Discrepancies in diagnoses of neuroepithelial neoplasms: the San Francisco Bay Area Adult Glioma Study, Cancer., 88, 2342, 10.1002/(SICI)1097-0142(20000515)88:10<2342::AID-CNCR19>3.0.CO;2-X
Sahm, 2014, Farewell to oligoastrocytoma: in situ molecular genetics favor classification as either oligodendroglioma or astrocytoma, Acta Neuropathol., 128, 551, 10.1007/s00401-014-1326-7
Kruchko, 2019, Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors, Neurooncol Pract., 6, 330