Literature DB >> 15277267

Hypertension as a risk factor for glioma? Evidence from a population-based study of comorbidity in glioma patients.

M P W A Houben1, W J Louwman, C C Tijssen, J L J M Teepen, C M Van Duijn, J W W Coebergh.   

Abstract

BACKGROUND: Little is known about the aetiology of glioma. Research is often hampered by the low incidence and high mortality of the disease. Concomitant diseases in glioma patients may indicate possible aetiological pathways. We therefore studied comorbidity in glioma patients. PATIENTS AND METHODS: We performed a case-control study using population-based data from the Eindhoven Cancer Registry. We compared prevalences of concomitant diseases in 510 glioma patients with two reference cancer populations from the same registry.
RESULTS: Compared with all other cancer patients, a significantly higher prevalence of hypertension was found in glioma patients for age categories 60-74 years [odds ratio (OR) 1.37; 95% confidence interval (CI) 1.02-1.84] and 75+ years (OR 2.37; 95% CI 1.34-4.21). The association was most pronounced in elderly men and in astrocytic glioma, with a maximum in age category 75+ years (OR 5.86; 95% CI 2.20-15.7). The prevalence of cerebrovascular disease was higher in glioma patients >45 years old (OR 1.67; 95% CI 1.12-2.47), whereas the prevalence of other cancers was lower (OR 0.64; 95% CI 0.48-0.87). No consistent associations were detected for several other concomitant diseases.
CONCLUSIONS: Our data suggest an association between hypertension and glioma, although questions remain about causality and the possible mechanisms. We hypothesise that this association is mediated through potentially neurocarcinogenic effects of antihypertensive medication. Copyright 2004 European Society for Medical Oncology

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Year:  2004        PMID: 15277267     DOI: 10.1093/annonc/mdh306

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  9 in total

1.  Comorbid conditions associated with glioblastoma.

Authors:  James L Fisher; Sadie Palmisano; Judith A Schwartzbaum; Tobias Svensson; Stefan Lönn
Journal:  J Neurooncol       Date:  2014-01-11       Impact factor: 4.130

2.  Use of cardiac glycosides and risk of glioma.

Authors:  Corinna Seliger; Christoph R Meier; Susan S Jick; Martin Uhl; Ulrich Bogdahn; Peter Hau; M F Leitzmann
Journal:  J Neurooncol       Date:  2015-12-31       Impact factor: 4.130

3.  Links between private habits, psychological stress and brain cancer: a case-control pilot study in France.

Authors:  Cécilia Cabaniols; Roch Giorgi; Olivier Chinot; Nabila Ferahta; Valérie Spinelli; Philippe Alla; Maryline Barrie; Marie-Pascale Lehucher-Michel
Journal:  J Neurooncol       Date:  2010-09-11       Impact factor: 4.130

4.  The association between antihypertensive drugs and glioma.

Authors:  M P W A Houben; J W W Coebergh; R M C Herings; M K Casparie; C C Tijssen; C M van Duijn; B H Ch Stricker
Journal:  Br J Cancer       Date:  2006-03-13       Impact factor: 7.640

5.  Testing for causality between systematically identified risk factors and glioma: a Mendelian randomization study.

Authors:  A E Howell; J W Robinson; R E Wootton; A McAleenan; S Tsavachidis; Q T Ostrom; M Bondy; G Armstrong; C Relton; P Haycock; R M Martin; J Zheng; K M Kurian
Journal:  BMC Cancer       Date:  2020-06-03       Impact factor: 4.430

6.  Aggressiveness of Grade 4 Gliomas of Adults.

Authors:  Mariana Deacu; Any Docu Axelerad; Steliana Popescu; Theodor Sebastian Topliceanu; Mariana Aschie; Madalina Bosoteanu; Georgeta Camelia Cozaru; Ana Maria Cretu; Raluca Ioana Voda; Cristian Ionut Orasanu
Journal:  Clin Pract       Date:  2022-09-03

7.  Association of metabolic syndrome with glioblastoma: a retrospective cohort study and review.

Authors:  Lisa R Rogers; Quinn T Ostrom; Julia Schroer; Jaime Vengoechea; Li Li; Stanton Gerson; Charles J Nock; Mitchell Machtay; Warren Selman; Simon Lo; Andrew E Sloan; Jill S Barnholtz-Sloan
Journal:  Neurooncol Pract       Date:  2020-03-31

Review 8.  Use of Mendelian Randomization for Identifying Risk Factors for Brain Tumors.

Authors:  Amy Elizabeth Howell; Jie Zheng; Philip C Haycock; Alexandra McAleenan; Caroline Relton; Richard M Martin; Kathreena M Kurian
Journal:  Front Genet       Date:  2018-11-12       Impact factor: 4.599

9.  A unified sparse representation for sequence variant identification for complex traits.

Authors:  Shaolong Cao; Huaizhen Qin; Hong-Wen Deng; Yu-Ping Wang
Journal:  Genet Epidemiol       Date:  2014-09-04       Impact factor: 2.135

  9 in total

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