A Population-based Study of Temporal Lobe Malignancies



Abstract Views
215

Downloads
260

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Mar 17, 2022
Published Apr 12, 2022
10.24018/ejmed.2022.4.2.1282

Abstract viewed = 215 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

Background: Temporal lobe malignancies can pose a challenge given the important functions of the temporal lobe including auditory and visual sensory processing, language recognition, and memory formation. This study aimed to utilize the 1973-2015 Surveillance, Epidemiology, and End Results (SEER) to identify demographic and treatment differences affecting overall survival in patients with temporal lobe malignancies.

Methods: A search of the SEER database for patients with malignant temporal lobe tumors was performed. The Kaplan Meier method was used to analyze univariate factors affecting overall survival. Logistic regression analysis was used to perform a multivariate analysis of overall survival.

Results: A total of 12,690 patients were identified. The male to female ratio was 1.5:1. The majority of patients were treated with surgery as part of their treatment regimen. On univariate analysis surgical vs. nonsurgical treatment, tumor histology, sex, and race significantly affected overall survival. On multivariate analysis race, sex, and surgical vs. nonsurgical treatment significantly affected overall survival.

Conclusions: Surgical treatment, non-white race, and female sex were associated with significantly increased overall survival in patients with temporal lobe malignancies.

Keywords: Brain, cancer, survival, tumor

Downloads

Download data is not yet available.

References

  1. McGuire S. World Cancer Report 2014. Geneva, Switzerland: World Health Organization, International Agency for Research on Cancer, WHO Press. Adv Nutr. 2016; 7(2): 418-9.
    DOI  |   Google Scholar
  2. Chen B, Liu B, Wu C, Wang Z. Prognostic factors among single primary gliosarcoma cases: A study using Surveillance, Epidemiology, and End Results data from 1973-2013. Cancer Med. 2019; 8(14): 6233-6242.
    DOI  |   Google Scholar
  3. Ng S, Zouaoui S, Bessaoud F, Rigau V, Roux A, Darlix A, et al. An Epidemiology Report for Primary Central Nervous System Tumors in Adolescents and Young Adults: a nationwide population-based study in France, 2008-2013. Neuro Oncol. 2019.
    DOI  |   Google Scholar
  4. Barnholtz-Sloan JS, Ostrom QT, Cote D. Epidemiology of Brain Tumors. Neurol Clin. 2018; 36(3): 395-419.
    DOI  |   Google Scholar
  5. Bytnar JA, Lin J, Shriver CD, Zhu K. Racial differences in brain cancer characteristics and survival: an analysis of SEER data. Cancer Causes Control. 2019; 30(12): 1283-1291.
    DOI  |   Google Scholar
  6. Faltermeier C, Chai T, Syed S, Lau N, Elkaim L, Ibrahim G, et al. Survival of infants ≤24 months of age with brain tumors: A population-based study using the SEER database. PLoS One. 2019; 14(9).
    DOI  |   Google Scholar
  7. Kruchko C, Gittleman H, Ruhl J, Hofferkamp J, Ward EM, Ostrom QT, et al. Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors. Neurooncol Pract. 2019; 6(5): 330-339.
    DOI  |   Google Scholar
  8. Huang Q, Li F, Chen Y, Hong F, Wang H, Chen J. Prognostic factors and clinical outcomes in adult primary gliosarcoma patients: a Surveillance, Epidemiology, and End Results (SEER) analysis from 2004 to 2015. Br J Neurosurg. 2019: 1-7.
    DOI  |   Google Scholar
  9. Goel NJ, Abdullah KG, Lang SS. Outcomes and Prognostic Factors in Pediatric Oligodendroglioma: A Population-Based Study. Pediatr Neurosurg. 2018; 53(1): 24-35.
    DOI  |   Google Scholar
  10. Lau CS, Mahendraraj K, Chamberlain RS. Oligodendrogliomas in pediatric and adult patients: an outcome-based study from the Surveillance, Epidemiology, and End Result database. Cancer Manag Res. 2017; 9: 159-166.
    DOI  |   Google Scholar
  11. Dudley RW, Torok MR, Gallegos DR, Mulcahy-Levy JM, Hoffman LM, Liu AK, et al. Pediatric low-grade ganglioglioma: epidemiology, treatments, and outcome analysis on 348 children from the surveillance, epidemiology, and end results database. Neurosurgery. 2015; 76(3): 313-9.
    DOI  |   Google Scholar
  12. Selvanathan SK, Hammouche S, Salminen HJ, Jenkinson MD. Outcome and prognostic features in anaplastic ganglioglioma: analysis of cases from the SEER database. J Neurooncol. 2011; 105(3): 539-45.
    DOI  |   Google Scholar
  13. Zhou X, Zhang S, Niu X, Li T, Zuo M, Yang W, et al. Risk Factors for Early Mortality Among Patients with Glioma: A Population-Based Study. World Neurosurg. 2020.
    DOI  |   Google Scholar
  14. Holleczek B, Zampella D, Urbschat S, Sahm F, von Deimling A, Oertel J, et al. Incidence, mortality and outcome of meningiomas: A population-based study from Germany. Cancer Epidemiol. 2019; 62: 101562.
    DOI  |   Google Scholar