Skip to main content
Log in

Survival of glioma patients in relation to mobile phone use in Denmark, Finland and Sweden

  • Clinical Study
  • Published:
Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

Purpose

Gliomas are the most common cancer of the brain, with a poor prognosis in particular for glioblastoma. In 2014, a study suggested reduced survival in relation to latency of mobile phone use among glioblastoma patients. A joint epidemiological/experimental project to study effects of RF-EMF on tumor development and progression was established. The current analysis relates to the epidemiological part and addresses whether pre-diagnostic mobile phone use was associated with survival among glioma patients.

Methods

Glioma cases (n = 806) previously enrolled in a collaborative population-based case–control study in Denmark, Finland and Sweden were followed up for survival. Vital status, date of death, date of emigration, or date last known to be alive was obtained based on registry linkages with a unique personal ID in each country. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI) stratified by country. Covariates investigated were sex, age, education, histology, treatment, anatomic location and marital status.

Results

No indication of reduced survival among glioblastoma patients was observed for various measures of mobile phone use (ever regular use, time since start of regular use, cumulative call time overall or in the last 12 months) relative to no or non-regular use. All significant associations suggested better survival for mobile phone users. Results were similar for high-grade and low-grade gliomas.

Conclusions

We found no evidence of reduced survival among glioma patients in relation to previous mobile phone use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Ervik M, Lam F, Ferley J, Mery L, Soerjomataram I, Bray F (2016) Cancer today. Lyon, France: International Agency for Research on Cancer. Cancer Today. http://gco.iarc.fr/today, Accessed 28 May 2018

  2. Ostrom QT, Bauchet L, Davis FG, Deltour I, Fisher JL, Langer CE, Pekmezci M, Schwartzbaum JA, Turner MC, Walsh KM, Wrensch MR, Barnholtz-Sloan JS (2014) The epidemiology of glioma in adults: a “state of the science” review. Neuro Oncol 16:896–913. https://doi.org/10.1093/neuonc/nou087

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ostrom QT, Cote DJ, Ascha M, Kruchko C, Barnholtz-Sloan JS (2018) Adult glioma incidence and survival by race or ethnicity in the United States from 2000 to 2014. JAMA Oncol. https://doi.org/10.1001/jamaoncol.2018.1789

    Article  PubMed  PubMed Central  Google Scholar 

  4. Goodenberger ML, Jenkins RB (2012) Genetics of adult glioma. Cancer Genet 205:613–621. https://doi.org/10.1016/j.cancergen.2012.10.009

    Article  CAS  PubMed  Google Scholar 

  5. Melin BS, Barnholtz-Sloan JS, Wrensch MR, Johansen C, Il’yasova D, Kinnersley B, Ostrom QT, Labreche K, Chen Y, Armstrong G, Liu Y, Eckel-Passow JE, Decker PA, Labussiere M, Idbaih A, Hoang-Xuan K, Di Stefano AL, Mokhtari K, Delattre JY, Broderick P, Galan P, Gousias K, Schramm J, Schoemaker MJ, Fleming SJ, Herms S, Heilmann S, Nothen MM, Wichmann HE, Schreiber S, Swerdlow A, Lathrop M, Simon M, Sanson M, Andersson U, Rajaraman P, Chanock S, Linet M, Wang Z, Yeager M, Wiencke JK, Hansen H, McCoy L, Rice T, Kosel ML, Sicotte H, Amos CI, Bernstein JL, Davis F, Lachance D, Lau C, Merrell RT, Shildkraut J, Ali-Osman F, Sadetzki S, Scheurer M, Shete S, Lai RK, Claus EB, Olson SH, Jenkins RB, Houlston RS, Bondy ML (2017) Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. Nat Genet 49:789–794. https://doi.org/10.1038/ng.3823

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Linos E, Raine T, Alonso A, Michaud D (2007) Atopy and risk of brain tumors: a meta-analysis. J Natl Cancer Inst 99:1544–1550. https://doi.org/10.1093/jnci/djm170

    Article  PubMed  Google Scholar 

  7. McCarthy BJ, Rankin KM, Aldape K, Bondy ML, Brannstrom T, Broholm H, Feychting M, Il’yasova D, Inskip PD, Johansen C, Melin BS, Ruder AM, Butler MA, Scheurer ME, Schuz J, Schwartzbaum JA, Wrensch MR, Davis FG (2011) Risk factors for oligodendroglial tumors: a pooled international study. Neuro Oncol 13:242–250. https://doi.org/10.1093/neuonc/noq173

    Article  PubMed  Google Scholar 

  8. Bondy ML, Scheurer ME, Malmer B, Barnholtz-Sloan JS, Davis FG, Il’yasova D, Kruchko C, McCarthy BJ, Rajaraman P, Schwartzbaum JA, Sadetzki S, Schlehofer B, Tihan T, Wiemels JL, Wrensch M, Buffler PA (2008) Brain tumor epidemiology: consensus from the Brain Tumor Epidemiology Consortium. Cancer 113:1953–1968. https://doi.org/10.1002/cncr.23741

    Article  PubMed  PubMed Central  Google Scholar 

  9. Frei P, Poulsen AH, Johansen C, Olsen JH, Steding-Jessen M, Schuz J (2011) Use of mobile phones and risk of brain tumours: update of Danish cohort study. BMJ 343:d6387. https://doi.org/10.1136/bmj.d6387

    Article  PubMed  PubMed Central  Google Scholar 

  10. Benson VS, Pirie K, Schuz J, Reeves GK, Beral V, Green J (2013) Mobile phone use and risk of brain neoplasms and other cancers: prospective study. Int J Epidemiol 42:792–802. https://doi.org/10.1093/ije/dyt072

    Article  PubMed  Google Scholar 

  11. Feychting M, Schuz J (2017) 15—Electromagnetic fields. In: Thun M, Linet MS, Cerhan JR, Haiman CA, Schottenfeld D (eds) Cancer epidemiology and prevention. 4th edn. Oxford Scholarship Online, Oxford

    Google Scholar 

  12. (2010) Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study. Int J Epidemiol 39: 675–694 https://doi.org/10.1093/ije/dyq079

  13. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans (2011) Non-ionizing radiation, Part II: radiofrequency electromagnetic fields, IARC Working Group on the Evaluation of Carcinogenic Risks to Humans, Lyon

    Google Scholar 

  14. Wrensch M, Rice T, Miike R, McMillan A, Lamborn KR, Aldape K, Prados MD (2006) Diagnostic, treatment, and demographic factors influencing survival in a population-based study of adult glioma patients in the San Francisco Bay Area. Neuro Oncol 8:12–26. https://doi.org/10.1215/S1522851705000268

    Article  PubMed  PubMed Central  Google Scholar 

  15. Buckner JC (2003) Factors influencing survival in high-grade gliomas. Semin Oncol 30:10–14

    Article  PubMed  Google Scholar 

  16. Eckel-Passow JE, Lachance DH, Molinaro AM, Walsh KM, Decker PA, Sicotte H, Pekmezci M, Rice T, Kosel ML, Smirnov IV, Sarkar G, Caron AA, Kollmeyer TM, Praska CE, Chada AR, Halder C, Hansen HM, McCoy LS, Bracci PM, Marshall R, Zheng S, Reis GF, Pico AR, O’Neill BP, Buckner JC, Giannini C, Huse JT, Perry A, Tihan T, Berger MS, Chang SM, Prados MD, Wiemels J, Wiencke JK, Wrensch MR, Jenkins RB (2015) Glioma groups based on 1p/19q, IDH, and TERT Promoter mutations in tumors. N Engl J Med 372:2499–2508. https://doi.org/10.1056/NEJMoa1407279

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Meng W, Jiang Y, Ma J (2017) Is the prognostic significance of O6-methylguanine- DNA methyltransferase promoter methylation equally important in glioblastomas of patients from different continents? A systematic review with meta-analysis. Cancer Manag Res 9:411–425. https://doi.org/10.2147/cmar.S140447

    Article  PubMed  PubMed Central  Google Scholar 

  18. Carlberg M, Hardell L (2014) Decreased survival of glioma patients with astrocytoma grade IV (glioblastoma multiforme) associated with long-term use of mobile and cordless phones. Int J Environ Res Public Health 11:10790–10805. https://doi.org/10.3390/ijerph111010790

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lahkola A, Auvinen A, Raitanen J, Schoemaker MJ, Christensen HC, Feychting M, Johansen C, Klaeboe L, Lonn S, Swerdlow AJ, Tynes T, Salminen T (2007) Mobile phone use and risk of glioma in 5 North European countries. Int J Cancer 120:1769–1775. https://doi.org/10.1002/ijc.22503

    Article  CAS  PubMed  Google Scholar 

  20. Sjostrom S, Andersson U, Liu Y, Brannstrom T, Broholm H, Johansen C, Collatz-Laier H, Henriksson R, Bondy M, Melin B (2010) Genetic variations in EGF and EGFR and glioblastoma outcome. Neuro Oncol 12:815–821

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, Heurgren M, Olausson PO (2011) External review and validation of the Swedish national inpatient register. BMC Public Health 11:450. https://doi.org/10.1186/1471-2458-11-450

    Article  PubMed  PubMed Central  Google Scholar 

  22. Sund R (2012) Quality of the Finnish Hospital Discharge Register: a systematic review. Scand J Public Health 40:505–515. https://doi.org/10.1177/1403494812456637

    Article  PubMed  Google Scholar 

  23. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  Google Scholar 

  24. Deyo RA, Cherkin DC, Ciol MA (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45:613–619

    Article  CAS  PubMed  Google Scholar 

  25. Cardis E, Richardson L, Deltour I, Armstrong B, Feychting M, Johansen C, Kilkenny M, McKinney P, Modan B, Sadetzki S, Schuz J, Swerdlow A, Vrijheid M, Auvinen A, Berg G, Blettner M, Bowman J, Brown J, Chetrit A, Christensen HC, Cook A, Hepworth S, Giles G, Hours M, Iavarone I, Jarus-Hakak A, Klaeboe L, Krewski D, Lagorio S, Lonn S, Mann S, McBride M, Muir K, Nadon L, Parent ME, Pearce N, Salminen T, Schoemaker M, Schlehofer B, Siemiatycki J, Taki M, Takebayashi T, Tynes T, van Tongeren M, Vecchia P, Wiart J, Woodward A, Yamaguchi N (2007) The INTERPHONE study: design, epidemiological methods, and description of the study population. Eur J Epidemiol 22:647–664. https://doi.org/10.1007/s10654-007-9152-z

    Article  PubMed  Google Scholar 

  26. Ouadah NS, Lecomte A, Robidel F, Olsson A, Deltour I, Schüz J, Blazy K, Villégier A-N (2018) Possible effects of radiofrequency electromagnetic fields on in vivo C6 brain tumors in Wistar rats. J Neuro-Oncol. https://doi.org/10.1007/s11060-018-03012-y

    Article  PubMed  Google Scholar 

  27. Hardell L, Carlberg M (2013) Use of mobile and cordless phones and survival of patients with glioma. Neuroepidemiology 40:101–108. https://doi.org/10.1159/000341905

    Article  PubMed  Google Scholar 

  28. Chaichana KL, McGirt MJ, Laterra J, Olivi A, Quinones-Hinojosa A (2010) Recurrence and malignant degeneration after resection of adult hemispheric low-grade gliomas. J Neurosurg 112:10–17. https://doi.org/10.3171/2008.10.Jns08608

    Article  PubMed  Google Scholar 

  29. Wessels PH, Weber WE, Raven G, Ramaekers FC, Hopman AH, Twijnstra A (2003) Supratentorial grade II astrocytoma: biological features and clinical course. Lancet Neurol 2:395–403

    Article  PubMed  Google Scholar 

  30. Wijnenga MMJ, Mattni T, French PJ, Rutten GJ, Leenstra S, Kloet F, Taphoorn MJB, van den Bent MJ, Dirven CMF, van Veelen ML, Vincent A (2017) Does early resection of presumed low-grade glioma improve survival? A clinical perspective. J Neurooncol 133:137–146. https://doi.org/10.1007/s11060-017-2418-8

    Article  PubMed  PubMed Central  Google Scholar 

  31. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, Belanger K, Brandes AA, Marosi C, Bogdahn U, Curschmann J, Janzer RC, Ludwin SK, Gorlia T, Allgeier A, Lacombe D, Cairncross JG, Eisenhauer E, Mirimanoff RO (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987–996. https://doi.org/10.1056/NEJMoa043330

    Article  CAS  Google Scholar 

  32. Vrijheid M, Armstrong BK, Bedard D, Brown J, Deltour I, Iavarone I, Krewski D, Lagorio S, Moore S, Richardson L, Giles GG, McBride M, Parent ME, Siemiatycki J, Cardis E (2009) Recall bias in the assessment of exposure to mobile phones. J Exp Sci Environ Epidemiol 19:369–381. https://doi.org/10.1038/jes.2008.27

    Article  Google Scholar 

  33. Woods LM, Rachet B, Coleman MP (2006) Origins of socio-economic inequalities in cancer survival: a review. Ann Oncol 17:5–19. https://doi.org/10.1093/annonc/mdj007

    Article  CAS  PubMed  Google Scholar 

  34. Schmidt LS, Nielsen H, Schmiedel S, Johansen C (2008) Social inequality and incidence of and survival from tumours of the central nervous system in a population-based study in Denmark, 1994–2003. Eur J Cancer 44:2050–2057. https://doi.org/10.1016/j.ejca.2008.06.015

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported by the French National Research Program for Environmental and Occupational Health of ANSES (2014/2 RF/002) and the International Agency for Research on Cancer, Lyon, France. The INTERPHONE study was supported by the European Union Fifth Framework Program “Quality of Life and Management of Living Resources” (contract number QLK4-CT-1999-01563), and The Union for International Cancer Control (UICC). The UICC received funds for this purpose from the Mobile Manufacturers’ Forum and GSM Association. The provision of funds to the INTERPHONE study investigators via the UICC was governed by agreements that guaranteed INTERPHONE’s complete scientific independence. Additional support was obtained for the Swedish part from the Swedish Research Council and the Swedish Cancer Society, for the Danish part from the Danish Cancer Society, and the Finnish part from the Emil Aaltonen Foundation and Academy of Finland. The treatment data were collected separately with specific funding from Cancer Foundation Norrland and the cutting edge hospital grant for Umeå University hospital in Sweden.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ann Olsson.

Ethics declarations

Conflict of interest

Anssi Auvinen has received research funding for the COSMOS cohort study from the National Technology Agency (TEKES) including contributions from Nokia and mobile network operators Elisa and Sonera and from Mobile Manufacturers’ Forum through Pirkanmaa Hospital District as a firewall. Professor Auvinen holds a part-time employment at STUK Radiation and Nuclear Safety Authority and is member of ICNIRP expert group on Data Gaps. Maria Feychting is vice chairman of the International Commission on Non-Ionizing Radiation Protection, an independent body setting guidelines for non-ionizing radiation protection. She serves as advisor to a number of national and international public advisory and research steering groups concerning the potential health effects of exposure to non-ionizing radiation. Professor Feychting is co-investigator of the COSMOS cohort study, funded by the Swedish Research Council, the Swedish Council for Health, Working Life and Welfare, AFA Insurance (https://www.afaforsakring.se/andra-sprak/engelska/), and VINNOVA (The Swedish Governmental Agency for Innovation Systems, https://www.vinnova.se/en/). VINNOVA received funds for this purpose from TeliaSonera, Ericsson AB, and Telenor. The provision of funds to the COSMOS study investigators via VINNOVA is governed by agreements that guarantees COSMOS’ complete scientific independence. Remaining authors declare no conflicts of interest.

Ethical approval

Ethical approvals for the original case-control studies were obtained in accordance with legislation in each country, and the ethical approval for the current study was obtained from the IARC Ethics Committee (Project 15-09).

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 291 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Olsson, A., Bouaoun, L., Auvinen, A. et al. Survival of glioma patients in relation to mobile phone use in Denmark, Finland and Sweden. J Neurooncol 141, 139–149 (2019). https://doi.org/10.1007/s11060-018-03019-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11060-018-03019-5

Keywords

Navigation