Location of gliomas in relation to mobile telephone use: a case-case and case-specular analysis.

The energy absorbed from the radio-frequency fields of mobile telephones depends strongly on distance from the source. The authors' objective in this study was to evaluate whether gliomas occur preferentially in the areas of the brain having the highest radio-frequency exposure. The authors used 2 approaches: In a case-case analysis, tumor locations were compared with varying exposure levels; in a case-specular analysis, a hypothetical reference location was assigned for each glioma, and the distances from the actual and specular locations to the handset were compared. The study included 888 gliomas from 7 European countries (2000-2004), with tumor midpoints defined on a 3-dimensional grid based on radiologic images. The case-case analyses were carried out using unconditional logistic regression, whereas in the case-specular analysis, conditional logistic regression was used. In the case-case analyses, tumors were located closest to the source of exposure among never-regular and contralateral users, but not statistically significantly. In the case-specular analysis, the mean distances between exposure source and location were similar for cases and speculars. These results do not suggest that gliomas in mobile phone users are preferentially located in the parts of the brain with the highest radio-frequency fields from mobile phones.

[1]  S Greenland,et al.  Application of the case-specular method to two studies of wire codes and childhood cancers. , 1999, Epidemiology.

[2]  Anssi Auvinen,et al.  Selection bias due to differential participation in a case-control study of mobile phone use and brain tumors. , 2005, Annals of epidemiology.

[3]  Silverman Dt Is diesel exhaust a human lung carcinogen , 1998 .

[4]  M. Vrijheid,et al.  Quantifying the impact of selection bias caused by nonparticipation in a case-control study of mobile phone use. , 2009, Annals of epidemiology.

[5]  M Taki,et al.  Mobile phone use, exposure to radiofrequency electromagnetic field, and brain tumour: a case–control study , 2008, British Journal of Cancer.

[6]  J. Siegel,et al.  Narp immunostaining of human hypocretin (orexin) neurons , 2005, Neurology.

[7]  F. Langmark,et al.  Progress in long-term survival in adult patients with supratentorial low-grade gliomas: a population-based study of 993 patients in whom tumors were diagnosed between 1970 and 1993. , 2003, Journal of neurosurgery.

[8]  E Cardis,et al.  Distribution of RF energy emitted by mobile phones in anatomical structures of the brain , 2008, Physics in medicine and biology.

[9]  Sander Greenland,et al.  Case–Control Studies , 2008 .

[10]  Anssi Auvinen,et al.  Incidence of gliomas by anatomic location. , 2007, Neuro-oncology.

[11]  Kjell Hansson Mild,et al.  Meta-analysis of long-term mobile phone use and the association with brain tumours. , 2008, International journal of oncology.

[12]  Elisabeth Cardis,et al.  Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study. , 2010, International journal of epidemiology.

[13]  P. Andersen,et al.  We should monitor human fecundity, but how? A suggestion for a new method that may also be used to identify determinants of low fecundity. , 1999, Epidemiology.

[14]  A. Hoes Case-control studies. , 1995, The Netherlands journal of medicine.

[15]  A. Auvinen,et al.  Mobile phone use and location of glioma: A case–case analysis , 2009, Bioelectromagnetics.

[16]  R A Betensky,et al.  Tumor location and growth pattern correlate with genetic signature in oligodendroglial neoplasms. , 2001, Cancer research.

[17]  Joachim Schüz,et al.  Cellular telephone use and risk of acoustic neuroma. , 2004, American journal of epidemiology.

[18]  Leeka Kheifets,et al.  Epidemiologic Evidence on Mobile Phones and Tumor Risk: A Review , 2009, Epidemiology.

[19]  E Cardis,et al.  Validation of short term recall of mobile phone use for the Interphone study , 2006, Occupational and Environmental Medicine.

[20]  D. Juran,et al.  Cellular telephones and risk for brain tumors: A population-based, incident case-control study , 2006, Neurology.

[21]  Peter Kan,et al.  Cellular phone use and brain tumor: a meta-analysis , 2007, Journal of Neuro-Oncology.

[22]  Kari Tokola,et al.  Meta-analysis of mobile phone use and intracranial tumors. , 2006, Scandinavian journal of work, environment & health.

[23]  D A Savitz,et al.  The Residential Case‐Specular Method to Study Wire Codes, Magnetic Fields, and Disease , 1998, Epidemiology.

[24]  F. Brett,et al.  Apolipoprotein(a) Expression in Intracranial Aneurysms , 2003, Neurosurgery.

[25]  D. Nelson,et al.  Influence of location and extent of surgical resection on survival of patients with glioblastoma multiforme: results of three consecutive Radiation Therapy Oncology Group (RTOG) clinical trials. , 1993, International journal of radiation oncology, biology, physics.