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The epidemiology of primary and metastatic brain tumors in infancy through childhood

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Abstract

Purpose

To evaluate the epidemiology of primary and metastatic pediatric brain tumors in the United States according to the WHO CNS 4th and 5th editions classifications.

Methods

Pediatric patients (age ≤ 14) presenting between 2004 and 2017 with a brain tumor were identified in the National Cancer Database and categorized by NICHD age stages. Patients’ age, sex, race/ethnicity, overall survival, and tumor characteristics were evaluated according to WHO CNS 4th and 5th editions.

Results

23,978 pediatric brain tumor patients were identified. Overall, other (i.e. circumscribed) astrocytic gliomas (21%), diffuse astrocytic/oligodendroglial gliomas (21%; 64% of which were midline), and embryonal tumors (16%) predominated. A minority of brain tumors were of ependymal (6%), glioneuronal & neuronal (6%), germ cell tumor (GCT; 4%), mesenchymal non-meningothelial (2%), cranial nerve (2%), choroid plexus (2%), meningioma (2%), pineal (1%), and hematolymphoid (0.4%) types. GCTs were more likely in patients of Asian/Pacific Islander race/ethnicity. Brain metastases were exceedingly rare, accounting for 1.4% overall, with the most common primary tumor being neuroblastoma (61%) and non-CNS sarcoma (16%). Brain metastatic, choroid plexus, and embryonal tumors peaked during infancy and toddlerhood; whereas diffuse gliomas peaked in middle-late childhood. GCTs and glioneuronal & neuronal tumors uniquely displayed bimodal distributions, with elevated prevalence in both infancy and middle-to-late childhood.

Conclusion

We systematically described the epidemiology of pediatric brain tumors in the context of contemporary classification schema, thereby validating our current understanding and providing key insights.

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Data availability

Data are available by application to the NCDB.

References

  1. Siegel RL, Miller KD, Fuchs HE, Jemal A (2021) Cancer statistics, 2021. CA Cancer J Clin 71:7–33. https://doi.org/10.3322/caac.21654

    Article  PubMed  Google Scholar 

  2. Mueller S, Chang S (2009) Pediatric brain tumors: current treatment strategies and future therapeutic approaches. Neurotherapeutics 6:570–586. https://doi.org/10.1016/j.nurt.2009.04.006

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ostrom QT, De Blank PM, Kruchko C et al (2014) Alex’s Lemonade stand foundation infant and childhood primary brain and central nervous system tumors diagnosed in the United States in 2007–2011. Neuro Oncol 16:x1–x35. https://doi.org/10.1093/neuonc/nou327

    Article  PubMed Central  Google Scholar 

  4. Curtin SC, Minino AM, Anderson RN (2016) Declines in cancer death rates among children and adolescents in the United States, 1999–2014. NCHS Data Brief 257:1–8

    Google Scholar 

  5. Kang J-M, Ha J, Hong EK et al (2019) A nationwide, population-based epidemiologic study of childhood brain tumors in Korea, 2005–2014: a comparison with United States data. Cancer Epidemiol Biomark Prev 28:409–416. https://doi.org/10.1158/1055-9965.EPI-18-0634

    Article  Google Scholar 

  6. Girardi F, Rous B, Stiller CA et al (2021) The histology of brain tumours for 67,331 children and 671,085 adults diagnosed in 60 countries during 2000–2014: a global, population-based study (CONCORD-3). Neuro Oncol. https://doi.org/10.1093/neuonc/noab067

    Article  PubMed  Google Scholar 

  7. Ostrom QT, Patil N, Cioffi G et al (2020) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2013–2017. Neuro Oncol 22:iv1–iv96. https://doi.org/10.1093/neuonc/noaa200

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lerro CC, Robbins AS, Phillips JL, Stewart AK (2013) Comparison of cases captured in the national cancer data base with those in population-based central cancer registries. Ann Surg Oncol 20:1759–1765. https://doi.org/10.1245/s10434-013-2901-1

    Article  PubMed  Google Scholar 

  9. Boffa DJ, Rosen JE, Mallin K et al (2017) Using the national cancer database for outcomes research: a review. JAMA Oncol 3:1722–1728. https://doi.org/10.1001/jamaoncol.2016.6905

    Article  PubMed  Google Scholar 

  10. Iorgulescu JB, Torre M, Harary M et al (2019) The misclassification of diffuse gliomas: rates and outcomes. Clin Cancer Res 25:2656–2663. https://doi.org/10.1158/1078-0432.CCR-18-3101

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lamba N, Chukwueke UN, Smith TR et al (2020) Socioeconomic disparities associated with MGMT promoter methylation testing for patients with glioblastoma. JAMA Oncol 6:1972–1974. https://doi.org/10.1001/jamaoncol.2020.4937

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ostrom QT, Gittleman H, Kruchko C et al (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 130:31–42. https://doi.org/10.1007/s11060-016-2217-7

    Article  PubMed  PubMed Central  Google Scholar 

  13. Louis DN, Ohgaki H, Cavenee WK (2016) World Health Organization histological classification of tumours of the central nervous system revised 4th. International Agency for Research on Cancer, France

    Google Scholar 

  14. Louis DN, Perry A, Wesseling P et al (2021) The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol 23:1231–1251. https://doi.org/10.1093/neuonc/noab106

    Article  CAS  PubMed  Google Scholar 

  15. Steliarova-Foucher E, Stiller C, Lacour B, Kaatsch P (2005) International classification of childhood cancer, third edition. Cancer 103:1457–1467. https://doi.org/10.1002/cncr.20910

    Article  PubMed  Google Scholar 

  16. Lym RL, Ostrom QT, Kruchko C et al (2015) Completeness and concordancy of WHO grade assignment for brain and central nervous system tumors in the United States, 2004–2011. J Neurooncol 123:43–51. https://doi.org/10.1007/s11060-015-1775-4

    Article  PubMed  PubMed Central  Google Scholar 

  17. Blionas A, Giakoumettis D, Klonou A et al (2018) Paediatric gliomas: diagnosis, molecular biology and management. Ann Transl Med 6:251. https://doi.org/10.21037/atm.2018.05.11

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. McCrea HJ, Bander ED, Venn RA et al (2015) Sex, age, anatomic location, and extent of resection influence outcomes in children with high-grade glioma. Neurosurgery 77:443–452

    Article  Google Scholar 

  19. Tulla M, Berthold F, Graf N et al (2015) Incidence, trends, and survival of children with embryonal tumors. Pediatrics 136:e623–e632. https://doi.org/10.1542/peds.2015-0224

    Article  CAS  PubMed  Google Scholar 

  20. Kramer K, Kushner B, Heller G, Cheung N-KV (2001) Neuroblastoma metastatic to the central nervous system. Cancer 91:1510–1519

    Article  CAS  Google Scholar 

  21. Zhu J, Wang J, Zhen Z-J et al (2015) Brain metastasis in children with stage 4 neuroblastoma after multidisciplinary treatment. Chin J Cancer 34:49. https://doi.org/10.1186/s40880-015-0038-2

    Article  CAS  PubMed Central  Google Scholar 

  22. Berlanga P, Pasqualini C, Pötschger U et al (2021) Central nervous system relapse in high-risk stage 4 neuroblastoma: The HR-NBL1/SIOPEN trial experience. Eur J Cancer 144:1–8. https://doi.org/10.1016/j.ejca.2020.10.020

    Article  CAS  PubMed  Google Scholar 

  23. Goodwin TL, Sainani K, Fisher PG (2009) Incidence patterns of central nervous system germ cell tumors: a SEER study. J Pediatr Hematol Oncol 31:541–544. https://doi.org/10.1097/MPH.0b013e3181983af5

    Article  PubMed  Google Scholar 

  24. Wong TT, Ho DM, Chang KP et al (2005) Primary pediatric brain tumors: statistics of Taipei VGH, Taiwan (1975–2004). Cancer 104:2156–2167

    Article  Google Scholar 

  25. Cho KT, Wang KC, Kim SK et al (2002) Pediatric brain tumors: statistics of SNUH, Korea (1959–2000). Child’s Nerv Syst 18:30–37. https://doi.org/10.1007/s00381-001-0547-y

    Article  Google Scholar 

  26. Zhou D, Zhang Y, Liu H et al (2008) Epidemiology of nervous system tumors in children: a survey of 1485 cases in Beijing Tiantan Hospital from 2001 to 2005. Pediatr Neurosurg 44:97–103. https://doi.org/10.1159/000113110

    Article  PubMed  Google Scholar 

  27. Mori K, Kurisaka M (1986) Brain tumors in childhood: statistical analysis of cases from the brain tumor registry of Japan. Child’s Nerv Syst 2:233–237. https://doi.org/10.1007/BF00272492

    Article  CAS  Google Scholar 

  28. Northcott PA, Buchhalter I, Morrissy AS et al (2017) The whole-genome landscape of medulloblastoma subtypes. Nature 547:311–317. https://doi.org/10.1038/nature22973

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Capper D, Jones DTW, Sill M et al (2018) DNA methylation-based classification of central nervous system tumours. Nature 555:469–474. https://doi.org/10.1038/nature26000

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Ryall S, Zapotocky M, Fukuoka K et al (2020) Integrated molecular and clinical analysis of 1,000 pediatric low-grade gliomas. Cancer Cell 37:569-583.e5. https://doi.org/10.1016/j.ccell.2020.03.011

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Torchia J, Golbourn B, Feng S et al (2016) Integrated (epi)-genomic analyses identify subgroup-specific therapeutic targets in CNS rhabdoid tumors. Cancer Cell 30:891–908. https://doi.org/10.1016/j.ccell.2016.11.003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Paugh BS, Qu C, Jones C et al (2010) Integrated molecular genetic profiling of pediatric high-grade gliomas reveals key differences with the adult disease. J Clin Oncol 28:3061–3068. https://doi.org/10.1200/JCO.2009.26.7252

    Article  PubMed  PubMed Central  Google Scholar 

  33. Iorgulescu JB, Van Ziffle J, Stevers M et al (2018) Deep sequencing of WNT-activated medulloblastomas reveals secondary SHH pathway activation. Acta Neuropathol 135:635–638. https://doi.org/10.1007/s00401-018-1819-x

    Article  PubMed  PubMed Central  Google Scholar 

  34. Schwalbe EC, Lindsey JC, Nakjang S et al (2017) Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study. Lancet Oncol 18:958–971. https://doi.org/10.1016/S1470-2045(17)30243-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Helgager J, Pytel P, Vasudevaraja V et al (2020) WNT-activated medulloblastomas with hybrid molecular subtypes. JCO Precis Oncol 4:348–354. https://doi.org/10.1200/PO.19.00332

    Article  Google Scholar 

  36. Li BK, Vasiljevic A, Dufour C et al (2020) Pineoblastoma segregates into molecular sub-groups with distinct clinico-pathologic features: a rare brain tumor consortium registry study. Acta Neuropathol 139:223–241. https://doi.org/10.1007/s00401-019-02111-y

    Article  CAS  PubMed  Google Scholar 

  37. Ostrom QT, Cioffi G, Waite K et al (2021) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2014–2018. Neuro Oncol 23:iii1–iii105. https://doi.org/10.1093/neuonc/noab200

    Article  PubMed  Google Scholar 

  38. Forjaz G, Barnholtz-Sloan JS, Kruchko C et al (2020) An updated histology recode for the analysis of primary malignant and nonmalignant brain and other central nervous system tumors in the surveillance, epidemiology, and end results program. Neurooncol Adv. https://doi.org/10.1093/noajnl/vdaa175

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

JBI gratefully acknowledges funding support from the National Cancer Institute (K12CA090354) and the Conquer Cancer Foundation/Sontag Foundation. MT is supported by the National Cancer Institute of the National Institutes of Health under award number F32 CA257210. The National Cancer Data Base (NCDB) is a joint project of the Commission on Cancer (CoC) of the American College of Surgeons and the American Cancer Society. The CoC’s NCDB and the hospitals participating in the CoC NCDB are the source of the de-identified data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors.

Funding

No funding was received for conducting this study.

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Authors and Affiliations

Authors

Contributions

Conceptualization & supervision: JBI; methodology: JBI; formal analysis and investigation: NL, JBI; critical interpretation of results & writing: all authors.

Corresponding author

Correspondence to J. Bryan Iorgulescu.

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The authors have no conflicts of interest to declare that are relevant to the content of this article.

Ethical approval

This study was approved by the Mass General Brigham Institutional Review Board (2015P002352) and conducted in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki.

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NCDB data are de-identified public-use datasets for which consent is not applicable.

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Lamba, N., Groves, A., Torre, M. et al. The epidemiology of primary and metastatic brain tumors in infancy through childhood. J Neurooncol 156, 419–429 (2022). https://doi.org/10.1007/s11060-021-03927-z

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  • DOI: https://doi.org/10.1007/s11060-021-03927-z

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