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Published in: BMC Cancer 1/2021

01-12-2021 | Glioblastoma | Research article

Recent incidence trend of elderly patients with glioblastoma in the United States, 2000–2017

Authors: Boran Chen, Chaoyue Chen, Yang Zhang, Jianguo Xu

Published in: BMC Cancer | Issue 1/2021

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Abstract

Background

The incidence of glioblastoma increases significantly with age. With the growing and aging population, there is a lack of comprehensive analysis of recent glioblastoma incidence trend in the United States. This study aims to provide in-depth description of the patterns of incidence trends and to examine the age-period-cohort effects to the trends of glioblastoma specific to elderly patients.

Methods

The incidence rates were age-adjusted and reported per 100,000 population. We calculated the annual percent change (APC) in incidence using the Joinpoint Regression Program and conducted an age-period-cohort analysis of elderly glioblastoma reported between 2000 and 2017 to the Surveillance Epidemiology and End Results (SEER) 18 registry database.

Results

The overall incidence rate of elderly patients with glioblastoma was 13.16 per 100,000 (95% CI, 12.99–13.32) from 2000 to 2017. Non-Hispanic whites (20,406, 83.6%) made up the majority. The incidence rate of male was about 1.62 times that of female. The trend of incidence remained stable and there was a non-significant increasing tendency for all elderly patients (APC 0.3, 95% CI, − 0.1 to 0.7, p = 0.111). There was a significantly increasing incidence trend for non-Hispanic white (APC 0.6, 95% CI, 0.2 to 1.1, p = 0.013), supratentorial location (APC 0.7, 95% CI, 0.2 to 1.3, p = 0.016), tumor size < 4 cm (APC 2.5, 95% CI, 1.4 to 3.6, p < 0.001), and a significantly decreasing trend for overlapping/NOS location (APC -0.9, 95% CI, − 1.6 to − 0.2, p = 0.012), and unknown tumor size (APC -4.9, 95% CI, − 6.6 to − 3.3, p < 0.001). The age-period-cohort analysis showed the effect of age on incidence trends (p< 0.001, Wald test), while did not indicate the period and cohort effects of the incidence trends of glioblastoma (p = 0.063 and p =0.536, respectively, Wald test).

Conclusion

The overall incidence of glioblastoma in the elderly population remained stable between 2000 and 2017. Period and cohort effects were not evident in the trend of glioblastoma incidence. Future population-based studies exploring the difference in the trend of glioblastoma incidence by specific molecular subgroups are warranted to further our understanding of the etiology of glioblastoma.
Literature
1.
go back to reference Ostrom Q, Cioffi G, Gittleman H, Patil N, Waite K, Kruchko C. Barnholtz-Sloan JJN-o: CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012–2016. Neuro-Oncol. 2019;21:v1–v100.PubMedPubMedCentralCrossRef Ostrom Q, Cioffi G, Gittleman H, Patil N, Waite K, Kruchko C. Barnholtz-Sloan JJN-o: CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012–2016. Neuro-Oncol. 2019;21:v1–v100.PubMedPubMedCentralCrossRef
2.
go back to reference Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011–2015. Neuro-Oncol. 2018;20(suppl_4):iv1–iv86.PubMedPubMedCentralCrossRef Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011–2015. Neuro-Oncol. 2018;20(suppl_4):iv1–iv86.PubMedPubMedCentralCrossRef
3.
go back to reference Paszat L, Laperriere N, Groome P, Schulze K, Mackillop W, Holowaty E. A population-based study of glioblastoma multiforme. Int J Radiat Oncol Biol Phys. 2001;51(1):100–7.PubMedCrossRef Paszat L, Laperriere N, Groome P, Schulze K, Mackillop W, Holowaty E. A population-based study of glioblastoma multiforme. Int J Radiat Oncol Biol Phys. 2001;51(1):100–7.PubMedCrossRef
4.
go back to reference Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, Belanger K, Brandes AA, Marosi C, Bogdahn U, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. New England J Med. 2005;352(10):987–96.CrossRef Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, Belanger K, Brandes AA, Marosi C, Bogdahn U, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. New England J Med. 2005;352(10):987–96.CrossRef
5.
go back to reference Lamborn KR, Chang SM, Prados MD. Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro-Oncol. 2004;6(3):227–35.PubMedPubMedCentralCrossRef Lamborn KR, Chang SM, Prados MD. Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro-Oncol. 2004;6(3):227–35.PubMedPubMedCentralCrossRef
6.
go back to reference Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, Lang FF, McCutcheon IE, Hassenbusch SJ, Holland E, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg. 2001;95(2):190–8.PubMedCrossRef Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, Lang FF, McCutcheon IE, Hassenbusch SJ, Holland E, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg. 2001;95(2):190–8.PubMedCrossRef
7.
go back to reference Perry JR, Laperriere N, O'Callaghan CJ, Brandes AA, Menten J, Phillips C, Fay M, Nishikawa R, Cairncross JG, Roa W, et al. Short-Course Radiation plus Temozolomide in Elderly Patients with Glioblastoma. New England J Med. 2017;376(11):1027–37.CrossRef Perry JR, Laperriere N, O'Callaghan CJ, Brandes AA, Menten J, Phillips C, Fay M, Nishikawa R, Cairncross JG, Roa W, et al. Short-Course Radiation plus Temozolomide in Elderly Patients with Glioblastoma. New England J Med. 2017;376(11):1027–37.CrossRef
8.
go back to reference Dobes M, Khurana VG, Shadbolt B, Jain S, Smith SF, Smee R, Dexter M, Cook R. Increasing incidence of glioblastoma multiforme and meningioma, and decreasing incidence of Schwannoma (2000–2008): Findings of a multicenter Australian study. Surg Neurol Int. 2011;2:176.PubMedPubMedCentralCrossRef Dobes M, Khurana VG, Shadbolt B, Jain S, Smith SF, Smee R, Dexter M, Cook R. Increasing incidence of glioblastoma multiforme and meningioma, and decreasing incidence of Schwannoma (2000–2008): Findings of a multicenter Australian study. Surg Neurol Int. 2011;2:176.PubMedPubMedCentralCrossRef
9.
go back to reference Korja M, Raj R, Seppä K, Luostarinen T, Malila N, Seppälä M, Mäenpää H, Pitkäniemi J. Glioblastoma survival is improving despite increasing incidence rates: a nationwide study between 2000 and 2013 in Finland. Neuro-Oncol. 2019;21(3):370–9.PubMedCrossRef Korja M, Raj R, Seppä K, Luostarinen T, Malila N, Seppälä M, Mäenpää H, Pitkäniemi J. Glioblastoma survival is improving despite increasing incidence rates: a nationwide study between 2000 and 2013 in Finland. Neuro-Oncol. 2019;21(3):370–9.PubMedCrossRef
10.
go back to reference Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19(3):335–51.PubMedCrossRef Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19(3):335–51.PubMedCrossRef
11.
go back to reference Rosenberg PS, Check DP, Anderson WF. A web tool for age-period-cohort analysis of cancer incidence and mortality rates. Cancer Epidemiol Biomarkers Prev. 2014;23(11):2296–302.PubMedPubMedCentralCrossRef Rosenberg PS, Check DP, Anderson WF. A web tool for age-period-cohort analysis of cancer incidence and mortality rates. Cancer Epidemiol Biomarkers Prev. 2014;23(11):2296–302.PubMedPubMedCentralCrossRef
12.
go back to reference Li K, Lu D, Guo Y, Wang C, Liu X, Liu Y, Liu D. Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973–2014. Cancer Med. 2018;7(10):5281–90.PubMedPubMedCentralCrossRef Li K, Lu D, Guo Y, Wang C, Liu X, Liu Y, Liu D. Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973–2014. Cancer Med. 2018;7(10):5281–90.PubMedPubMedCentralCrossRef
13.
go back to reference Achey RL, Gittleman H, Schroer J, Khanna V, Kruchko C, Barnholtz-Sloan JS. Nonmalignant and malignant meningioma incidence and survival in the elderly, 2005–2015, using the Central Brain Tumor Registry of the United States. Neuro-oncology. 2019;21(3):380–91.PubMedCrossRef Achey RL, Gittleman H, Schroer J, Khanna V, Kruchko C, Barnholtz-Sloan JS. Nonmalignant and malignant meningioma incidence and survival in the elderly, 2005–2015, using the Central Brain Tumor Registry of the United States. Neuro-oncology. 2019;21(3):380–91.PubMedCrossRef
14.
go back to reference Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, Pletcher MA, Smith AE, Tang K, Yuan CW, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet (London, England). 2018;392(10159):2052–90.CrossRef Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, Pletcher MA, Smith AE, Tang K, Yuan CW, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet (London, England). 2018;392(10159):2052–90.CrossRef
17.
go back to reference Phillips HS, Kharbanda S, Chen R, Forrest WF, Soriano RH, Wu TD, Misra A, Nigro JM, Colman H, Soroceanu L, et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell. 2006;9(3):157–73.PubMedCrossRef Phillips HS, Kharbanda S, Chen R, Forrest WF, Soriano RH, Wu TD, Misra A, Nigro JM, Colman H, Soroceanu L, et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell. 2006;9(3):157–73.PubMedCrossRef
18.
go back to reference Sun T, Warrington NM, Luo J, Brooks MD, Dahiya S, Snyder SC, Sengupta R, Rubin JB. Sexually dimorphic RB inactivation underlies mesenchymal glioblastoma prevalence in males. J Clin Invest. 2014;124(9):4123–33.PubMedPubMedCentralCrossRef Sun T, Warrington NM, Luo J, Brooks MD, Dahiya S, Snyder SC, Sengupta R, Rubin JB. Sexually dimorphic RB inactivation underlies mesenchymal glioblastoma prevalence in males. J Clin Invest. 2014;124(9):4123–33.PubMedPubMedCentralCrossRef
19.
go back to reference Verhaak RG, Hoadley KA, Purdom E, Wang V, Qi Y, Wilkerson MD, Miller CR, Ding L, Golub T, Mesirov JP, et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010;17(1):98–110.PubMedPubMedCentralCrossRef Verhaak RG, Hoadley KA, Purdom E, Wang V, Qi Y, Wilkerson MD, Miller CR, Ding L, Golub T, Mesirov JP, et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010;17(1):98–110.PubMedPubMedCentralCrossRef
20.
go back to reference Broestl L, Rubin JB, Dahiya S. Fetal microchimerism in human brain tumors. Brain Pathol. 2018;28(4):484–94.PubMedCrossRef Broestl L, Rubin JB, Dahiya S. Fetal microchimerism in human brain tumors. Brain Pathol. 2018;28(4):484–94.PubMedCrossRef
21.
go back to reference Ostrom Q, Cote D, Ascha M, Kruchko C, JJJo B-S. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014. JAMA Oncol. 2018;4(9):1254–62.PubMedPubMedCentralCrossRef Ostrom Q, Cote D, Ascha M, Kruchko C, JJJo B-S. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014. JAMA Oncol. 2018;4(9):1254–62.PubMedPubMedCentralCrossRef
22.
go back to reference Leece R, Xu J, Ostrom Q, Chen Y, Kruchko C, JJN-o B-S. Global incidence of malignant brain and other central nervous system tumors by histology, 2003–2007. Neuro-oncology. 2017;19(11):1553–64.PubMedPubMedCentralCrossRef Leece R, Xu J, Ostrom Q, Chen Y, Kruchko C, JJN-o B-S. Global incidence of malignant brain and other central nervous system tumors by histology, 2003–2007. Neuro-oncology. 2017;19(11):1553–64.PubMedPubMedCentralCrossRef
23.
go back to reference Ostrom QT, Egan KM, Nabors LB, Gerke T, Thompson RC, Olson JJ, LaRocca R, Chowdhary S, Eckel-Passow JE, Armstrong G, et al. Glioma risk associated with extent of estimated European genetic ancestry in African Americans and Hispanics. Int J Cancer. 2020;146(3):739–48.PubMedCrossRef Ostrom QT, Egan KM, Nabors LB, Gerke T, Thompson RC, Olson JJ, LaRocca R, Chowdhary S, Eckel-Passow JE, Armstrong G, et al. Glioma risk associated with extent of estimated European genetic ancestry in African Americans and Hispanics. Int J Cancer. 2020;146(3):739–48.PubMedCrossRef
24.
go back to reference Scheurer ME, Etzel CJ, Liu M, Barnholtz-Sloan J, Wiklund F, Tavelin B, Wrensch MR, Melin BS, Bondy ML. Familial aggregation of glioma: a pooled analysis. Am J Epidemiol. 2010;172(10):1099–107.PubMedPubMedCentralCrossRef Scheurer ME, Etzel CJ, Liu M, Barnholtz-Sloan J, Wiklund F, Tavelin B, Wrensch MR, Melin BS, Bondy ML. Familial aggregation of glioma: a pooled analysis. Am J Epidemiol. 2010;172(10):1099–107.PubMedPubMedCentralCrossRef
25.
go back to reference Mukherjee D, Zaidi HA, Kosztowski T, Chaichana KL, Brem H, Chang DC, Quiñones-Hinojosa A. Disparities in access to neuro-oncologic care in the United States. Archives Surgery. 2010;145(3):247–53.CrossRef Mukherjee D, Zaidi HA, Kosztowski T, Chaichana KL, Brem H, Chang DC, Quiñones-Hinojosa A. Disparities in access to neuro-oncologic care in the United States. Archives Surgery. 2010;145(3):247–53.CrossRef
26.
go back to reference Ohgaki H, Kleihues P. The definition of primary and secondary glioblastoma. Clin Cancer Res. 2013;19(4):764–72.CrossRefPubMed Ohgaki H, Kleihues P. The definition of primary and secondary glioblastoma. Clin Cancer Res. 2013;19(4):764–72.CrossRefPubMed
27.
go back to reference Tan AC, Ashley DM, López GY, Malinzak M, Friedman HS, Khasraw M. Management of glioblastoma: State of the art and future directions. CA Cancer J Clin. 2020;70(4):299–312.PubMedCrossRef Tan AC, Ashley DM, López GY, Malinzak M, Friedman HS, Khasraw M. Management of glioblastoma: State of the art and future directions. CA Cancer J Clin. 2020;70(4):299–312.PubMedCrossRef
28.
go back to reference Holford TR. Understanding the effects of age, period, and cohort on incidence and mortality rates. Annu Rev Public Health. 1991;12:425–57.PubMedCrossRef Holford TR. Understanding the effects of age, period, and cohort on incidence and mortality rates. Annu Rev Public Health. 1991;12:425–57.PubMedCrossRef
29.
go back to reference Keyes KM, Utz RL, Robinson W, Li G. What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006. Soc Sci Med. 2010;70(7):1100–8.PubMedPubMedCentralCrossRef Keyes KM, Utz RL, Robinson W, Li G. What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006. Soc Sci Med. 2010;70(7):1100–8.PubMedPubMedCentralCrossRef
30.
go back to reference Tiffon C. The Impact of Nutrition and Environmental Epigenetics on Human Health and Disease. Int J Mol Sci. 2018;19(11). Tiffon C. The Impact of Nutrition and Environmental Epigenetics on Human Health and Disease. Int J Mol Sci. 2018;19(11).
31.
go back to reference Fisher JL, Schwartzbaum JA, Wrensch M, Wiemels JL. Epidemiology of brain tumors. Neurol Clin. 2007;25(4):867–90 vii.PubMedCrossRef Fisher JL, Schwartzbaum JA, Wrensch M, Wiemels JL. Epidemiology of brain tumors. Neurol Clin. 2007;25(4):867–90 vii.PubMedCrossRef
32.
go back to reference Omuro A, DeAngelis LM. Glioblastoma and other malignant gliomas: a clinical review. Jama. 2013;310(17):1842–50.PubMedCrossRef Omuro A, DeAngelis LM. Glioblastoma and other malignant gliomas: a clinical review. Jama. 2013;310(17):1842–50.PubMedCrossRef
33.
go back to reference Pearce MS, Salotti JA, Little MP, McHugh K, Lee C, Kim KP, Howe NL, Ronckers CM, Rajaraman P, Sir Craft AW, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet (London, England). 2012;380(9840):499–505.CrossRef Pearce MS, Salotti JA, Little MP, McHugh K, Lee C, Kim KP, Howe NL, Ronckers CM, Rajaraman P, Sir Craft AW, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet (London, England). 2012;380(9840):499–505.CrossRef
34.
go back to reference Corle C, Makale M, Kesari S. Cell phones and glioma risk: a review of the evidence. J Neurooncol. 2012;106(1):1–13.PubMedCrossRef Corle C, Makale M, Kesari S. Cell phones and glioma risk: a review of the evidence. J Neurooncol. 2012;106(1):1–13.PubMedCrossRef
35.
go back to reference Deltour I, Auvinen A, Feychting M, Johansen C, Klaeboe L, Sankila R, Schüz J. Mobile phone use and incidence of glioma in the Nordic countries 1979–2008: consistency check. Epidimiology. 2012;23(2):301–7.CrossRef Deltour I, Auvinen A, Feychting M, Johansen C, Klaeboe L, Sankila R, Schüz J. Mobile phone use and incidence of glioma in the Nordic countries 1979–2008: consistency check. Epidimiology. 2012;23(2):301–7.CrossRef
36.
go back to reference Hardell L, Carlberg M, Hansson Mild K. Use of mobile phones and cordless phones is associated with increased risk for glioma and acoustic neuroma. Pathophysiology: the official journal of the International Society for. Pathophysiology. 2013;20(2):85–110.PubMedCrossRef Hardell L, Carlberg M, Hansson Mild K. Use of mobile phones and cordless phones is associated with increased risk for glioma and acoustic neuroma. Pathophysiology: the official journal of the International Society for. Pathophysiology. 2013;20(2):85–110.PubMedCrossRef
37.
go back to reference Little MP, Rajaraman P, Curtis RE, Devesa SS, Inskip PD, Check DP, Linet MS. Mobile phone use and glioma risk: comparison of epidemiological study results with incidence trends in the United States. BMJ. 2012;344:e1147.PubMedPubMedCentralCrossRef Little MP, Rajaraman P, Curtis RE, Devesa SS, Inskip PD, Check DP, Linet MS. Mobile phone use and glioma risk: comparison of epidemiological study results with incidence trends in the United States. BMJ. 2012;344:e1147.PubMedPubMedCentralCrossRef
38.
go back to reference Davis FG, Smith TR, Gittleman HR, Ostrom QT, Kruchko C, Barnholtz-Sloan JS. Glioblastoma incidence rate trends in Canada and the United States compared with England, 1995–2015. Neuro-Oncol. 2020;22(2):301–2.PubMedCrossRef Davis FG, Smith TR, Gittleman HR, Ostrom QT, Kruchko C, Barnholtz-Sloan JS. Glioblastoma incidence rate trends in Canada and the United States compared with England, 1995–2015. Neuro-Oncol. 2020;22(2):301–2.PubMedCrossRef
Metadata
Title
Recent incidence trend of elderly patients with glioblastoma in the United States, 2000–2017
Authors
Boran Chen
Chaoyue Chen
Yang Zhang
Jianguo Xu
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2021
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-020-07778-1

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