» Articles » PMID: 28469238

Associations Between Prediagnostic Blood Glucose Levels, Diabetes, and Glioma

Overview
Journal Sci Rep
Specialty Science
Date 2017 May 5
PMID 28469238
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Previous literature indicates that pre-diagnostic diabetes and blood glucose levels are inversely related to glioma risk. To replicate these findings and determine whether they could be attributed to excess glucose consumption by the preclinical tumour, we used data from the Apolipoprotein MOrtality RISk (AMORIS) (n = 528,580) and the Metabolic syndrome and Cancer project (Me-Can) cohorts (n = 269,365). We identified individuals who were followed for a maximum of 15 years after their first blood glucose test until glioma diagnosis, death, emigration or the end of follow-up. Hazard ratios (HRs), 95% confidence intervals (CIs) and their interactions with time were estimated using Cox time-dependent regression. As expected, pre-diagnostic blood glucose levels were inversely related to glioma risk (AMORIS, P  = 0.002; Me-Can, P  = 0.04) and pre-diagnostic diabetes (AMORIS, HR = 0.30, 95% CI 0.17 to 0.53). During the year before diagnosis, blood glucose was inversely associated with glioma in the AMORIS (HR = 0.78, 95% CI 0.66 to 0.93) but not the Me-Can cohort (HR = 0.99, 95% CI 0.63 to 1.56). This AMORIS result is consistent with our hypothesis that excess glucose consumption by the preclinical tumour accounts for the inverse association between blood glucose and glioma. We discuss additional hypothetical mechanisms that may explain our paradoxical findings.

Citing Articles

Metabolic Syndrome and Survival in Glioblastoma Patients: Retrospective Cohort Study and Review of the Literature.

Lucas D, Carvalho B, Tuna R, Linhares P Cureus. 2024; 16(2):e53641.

PMID: 38449965 PMC: 10917394. DOI: 10.7759/cureus.53641.


The Role of Ketone Bodies in Treatment Individualization of Glioblastoma Patients.

Tamas C, Tamas F, Kovecsi A, Serban G, Boeriu C, Balasa A Brain Sci. 2023; 13(9).

PMID: 37759908 PMC: 10526163. DOI: 10.3390/brainsci13091307.


Associations between adiposity, diabetes, lifestyle factors and the risk of gliomas.

Liu X, Wang Y, Wang Y, Zhao J, Shi W, Zhao Y Front Med (Lausanne). 2023; 10:1207223.

PMID: 37497279 PMC: 10366619. DOI: 10.3389/fmed.2023.1207223.


Pre-diagnostic blood biomarkers for adult glioma.

Andrews L, Davies P, Herbert C, Kurian K Front Oncol. 2023; 13:1163289.

PMID: 37265788 PMC: 10229864. DOI: 10.3389/fonc.2023.1163289.


Impact of abdominal obesity on the risk of glioma development in patients with diabetes: A nationwide population-based cohort study in Korea.

Sang H, Cho Y, Han K, Koh E PLoS One. 2023; 18(3):e0283023.

PMID: 36928679 PMC: 10019701. DOI: 10.1371/journal.pone.0283023.


References
1.
Sturrock M, Hao W, Schwartzbaum J, Rempala G . A mathematical model of pre-diagnostic glioma growth. J Theor Biol. 2015; 380:299-308. PMC: 4600629. DOI: 10.1016/j.jtbi.2015.06.003. View

2.
Ohgaki H, Burger P, Kleihues P . Definition of primary and secondary glioblastoma--response. Clin Cancer Res. 2014; 20(7):2013. PMC: 4695998. DOI: 10.1158/1078-0432.CCR-14-0238. View

3.
Ryu T, Park J, Scherer P . Hyperglycemia as a risk factor for cancer progression. Diabetes Metab J. 2014; 38(5):330-6. PMC: 4209346. DOI: 10.4093/dmj.2014.38.5.330. View

4.
Letourneur A, Roussel S, Bernaudin M, Fillesoye F, Toutain J, MacKenzie E . Chronic arterial hypertension impedes glioma growth: a multiparametric MRI study in the rat. Hypertens Res. 2015; 38(11):723-32. DOI: 10.1038/hr.2015.66. View

5.
Walsh K, Ohgaki H, Wrensch M . Epidemiology. Handb Clin Neurol. 2016; 134:3-18. DOI: 10.1016/B978-0-12-802997-8.00001-3. View