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Review
. 2021 Jan 16;11(1):116.
doi: 10.3390/brainsci11010116.

Epidemiology of Anthropometric Factors in Glioblastoma Multiforme-Literature Review

Donata Simińska  1 , Jan Korbecki  1 , Klaudyna Kojder  2 , Patrycja Kapczuk  1 , Marta Fabiańska  3 , Izabela Gutowska  4 , Anna Machoy-Mokrzyńska  5 , Dariusz Chlubek  1 , Irena Baranowska-Bosiacka  1
Affiliations
Review

Epidemiology of Anthropometric Factors in Glioblastoma Multiforme-Literature Review

Donata Simińska et al. Brain Sci. .

Abstract

Although glioblastoma multiforme (GBM) is a widely researched cancer of the central nervous system, we still do not know its full pathophysiological mechanism and we still lack effective treatment methods as the current combination of surgery, radiotherapy, and chemotherapy does not bring about satisfactory results. The median survival time for GBM patients is only about 15 months. In this paper, we present the epidemiology of central nervous system (CNS) tumors and review the epidemiological data on GBM regarding gender, age, weight, height, and tumor location. The data indicate the possible influence of some anthropometric factors on the occurrence of GBM, especially in those who are male, elderly, overweight, and/or are taller. However, this review of single and small-size epidemiological studies should not be treated as definitive due to differences in the survey methods used. Detailed epidemiological registers could help identify the main at-risk groups which could then be used as homogenous study groups in research worldwide. Such research, with less distortion from various factors, could help identify the pathomechanisms that lead to the development of GBM.

Keywords: age; epidemiology; gender; glioblastoma multiforme; height; obesity; overweight; sex.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(A–C) Magnetic resonance imaging (MRI) exam of a glioblastoma multiforme (GBM) in a 75-year-old patient with a tumor localized in the right temporal lobe with a heterogeneous signal, and, characteristically for GBM, strong, irregular, marginal contrast enhancement and (D) the GBM tumor mass of the same patient, where macroscopically a visible, heterogeneous structure is typical.
Figure 2
Figure 2
The incidence rates of GBM presented for both genders and calculated per 100,000 inhabitants of each population.
Figure 3
Figure 3
Age-related incidence of GBM.
See this image and copyright information in PMC

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