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Evaluation of the Validity of a Nonlinear J-Shaped Dose-Response Relationship in Cancers Induced by Exposure to Radiofrequency Electromagnetic Fields

Document Type : Commentary

Authors

1 Department of Diagnostic Imaging, Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA 19111, USA.

2 Department of Radiology, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran

3 Student research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

The radiofrequency electromagnetic fields (RF-EMFs) produced by widely used mobile phones are classified as possibly carcinogenic to humans by International Agency for Research on Cancer (IARC). Current data on the relationship between exposure to RF-EMFs generated by commercial mobile phones and brain cancer are controversial. Our studies show that this controversy may be caused by several parameters. However, it seems that the magnitude of exposure to RF-EMFs plays a basic role in RF-induced carcinogenesis. There is some evidence indicating that, in a similar pattern with ionizing radiation, the carcinogenesis of non-ionizing RF-EMF may have a nonlinear dose-response relationship. In this paper, the evidence which supports a nonlinear J-shaped dose-response relationship is discussed.

Keywords

References
  1. Hempelmann LH. Potential dangers in the uncontrolled use of shoe-fitting fluoroscopes. N Engl J Med. 1949;241:335. doi.org/10.1056/NEJM194909012410904 . PubMed PMID: 18148162.
  2. In: World Health Organization. Electromagnetic fields and public health: Mobile phones. [Accessed: October 2014] Available from: http://www.who.int/mediacentre/factsheets/fs193/en/.
  3. Roosli M. Health effects of electromagnetic fields. Ther Umsch. 2013;70:733-8. doi.org/10.1024/0040-5930/a000472. PubMed PMID: 24297859.
  4. Mortazavi S, Mortazavi S. Is mobile phone radiofrequency radiation all bad. J Med Hypotheses Ideas. 2014;8:42-3. doi.org/10.1016/j.jmhi.2013.08.003.
  5. Mortazavi SA, Tavakkoli-Golpayegani A, Haghani M, Mortazavi SM. Looking at the other side of the coin: the search for possible biopositive cognitive effects of the exposure to 900 MHz GSM mobile phone radiofrequency radiation. J Environ Health Sci Eng. 2014;12:75. doi.org/10.1186/2052-336X-12-75. PubMed PMID: 24843789. PubMed PMCID: 4004454.
  6. Eghlidospour M, Mortazavi SM, Yousefi F, Mortazavi SA. New Horizons in Enhancing the Proliferation and Differentiation of Neural Stem Cells Using Stimulatory Effects of the Short Time Exposure to Radiofrequency Radiation. J Biomed Phys Eng. 2015;5:95-104. PubMed PMID: 26396965. PubMed PMCID: 4576878.
  7. Sannino A, Sarti M, Reddy SB, Prihoda TJ, Vijayalaxmi, Scarfi MR. Induction of adaptive response in human blood lymphocytes exposed to radiofrequency radiation. Radiat Res. 2009;171:735-42. doi.org/10.1667/RR1687.1. PubMed PMID: 19580480.
  8. Mortazavi S, Mosleh-Shirazi M, Tavassoli A, Taheri M, Mehdizadeh A, Namazi S, et al. Increased Radioresistance to Lethal Doses of Gamma Rays in Mice and Rats after Exposure to Microwave Radiation Emitted by a GSM Mobile Phone Simulator. Dose Response. 2013;11:281-92. doi: 10.2203/dose-response.12-010.Mortazavi. PubMed PMID: 23930107; PubMed Central PMCID: PMCPMC3682203.
  9. Cao Y, Xu Q, Jin ZD, Zhou Z, Nie JH, Tong J. Induction of adaptive response: pre-exposure of mice to 900 MHz radiofrequency fields reduces hematopoietic damage caused by subsequent exposure to ionising radiation. Int J Radiat Biol. 2011;87:720-8. doi.org/10.3109/09553002.2010.550981. PubMed PMID: 21294690.
  10. Mortazavi S, Mosleh-Shirazi M, Tavassoli A, Taheri M, Bagheri Z, Ghalandari R, et al. A comparative study on the increased radioresistance to lethal doses of gamma rays after exposure to microwave radiation and oral intake of flaxseed oil. Iranian Journal of Radiation Research. 2011;9:9-14.
  11. Jiang B, Nie J, Zhou Z, Zhang J, Tong J, Cao Y. Adaptive response in mice exposed to 900 MHz radiofrequency fields: primary DNA damage. PLoS One. 2012;7:e32040. doi.org/10.1371/journal.pone.0032040. PubMed PMID: 22389679. PubMed PMCID: 3289639.
  12. Mahaki H, Tanzadehpanah H, Jabarivasal N, Sardanian K, Zamani A. A review on the effects of extremely low frequency electromagnetic field (ELF-EMF) on cytokines of innate and adaptive immunity. Electromagn Biol Med. 2019;38(1):84-95. doi: 10.1080/15368378.2018.1545668. Epub 2018 Dec 6. Review.PubMed PMID: 30518268.
  13. Havas M. When theory and observation collide: Can non-ionizing radiation cause cancer? Environ Pollut. 2017;221:501-5. doi.org/10.1016/j.envpol.2016.10.018. PubMed PMID: 27903411.
  14. Shrestha M, Raitanen J, Salminen T, Lahkola A, Auvinen A. Pituitary tumor risk in relation to mobile phone use: A case-control study. Acta Oncol. 2015;54:1159-65. doi.org/10.3109/0284186X.2015.1045624. PubMed PMID: 25982941.
  15. Johansen C, Boice J, J*r., McLaughlin J, Olsen J. Cellular telephones and cancer-a nationwide cohort study in Denmark. J Natl Cancer Inst. 2001;93:203-7. doi: 10.1093/jnci/93.3.203. PubMed PMID: 11158188.
  16. Schuz J, Jacobsen R, Olsen J H, Boice J D, Jr, McLaughlin J K, Johansen C. . Cellular telephone use and cancer risk: update of a nationwide Danish cohort. J Natl Cancer Inst. 2006;98:1707-13. doi: 10.1093/jnci/djj464. PubMed PMID: 17148772.
  17. Frei P, Poulsen A H, Johansen C, Olsen J H, Steding-Jessen M, Schuz J. Use of mobile phones and risk of brain tumours: update of Danish cohort study. BMJ. 2011;343:d6387. doi: 10.1136/bmj.d6387. PubMed PMID: 22016439; PubMed Central PMCID: PMCPMC3197791.
  18. Cancer IAfRo. Interphone study reports on mobile phone use and brain cancer risk. World Health Organization. 2010.
  19. Group IS. Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study. Int J Epidemiol. 2010;39:675-94. doi: 10.1093/ije/dyq079. PubMed PMID: 20483835.
  20. Chapman S, Azizi L, Luo Q, Sitas F. Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago? Cancer epidemiology. 2016;42:199-205. doi: 10.1016/j.canep.2016.04.010. PubMed PMID: 27156022.
  21. Mortazavi SAR, Mortazavi G, Mortazavi SMJ. Comments on “Radiofrequency electromagnetic fields and some cancers of unknown etiology: An ecological study”. Sci Total Environ. 2017;609:1. doi.org/10.1016/j.scitotenv.2017.07.131. PubMed PMID: 28732291.
  22. Mortazavi SAR, Mortazavi G, Mortazavi SMJ. Use of cell phones and brain tumors: a true association? Neurol Sci. 2017;38:2059-60. doi.org/10.1007/s10072-017-3055-x. PubMed PMID: 28689225.
  23. Mortazavi SMJ, Mortazavi SAR, Paknahad M. Cancers of the Brain and CNS: Global Patterns and Trends in Incidence. J Biomed Phys Eng. 2018;8:151-2. PubMed PMID: 29732351; PubMed Central PMCID: PMCPMC5928307.
  24. Mortazavi SMJ. Comments on analysis of mobile phone use among young patients with brain tumors in Japan. Bioelectromagnetics. 2017;38:653-4. doi: 10.1002/bem.22082. PubMed PMID: 28980326.
  25. Wyde M, Cesta M, Blystone C, Elmore S, Foster P, Hooth M, et al. Report of partial findings from the national toxicology program carcinogenesis studies of cell phone radiofrequency radiation in Hsd: Sprague Dawley® SD rats (Whole Body Exposure). BioRxiv. 2018:055699. doi: 10.1101/055699..
  26. Hardell L, Carlberg M. Mobile phone and cordless phone use and the risk for glioma - Analysis of pooled case-control studies in Sweden, 1997-2003 and 2007-2009. Pathophysiology : the official journal of the International Society for Pathophysiology. 2015;22:1-13. doi: 10.1016/j.pathophys.2014.10.001. PubMed PMID: 25466607.
  27. Hardell L, Carlberg M, Soderqvist F, Mild KH. Case-control study of the association between malignant brain tumours diagnosed between 2007 and 2009 and mobile and cordless phone use. International journal of oncology. 2013;43(6):1833-45. doi: 10.3892/ijo.2013.2111. PubMed PMID: 24064953; PubMed Central PMCID: PMCPMC3834325.
  28. Bortkiewicz A, Gadzicka E, Szymczak W. Mobile phone use and risk for intracranial tumors and salivary gland tumors–A meta-analysis. Int J Occup Med Environ Health. 2017;30(1):27-43. doi: 10.13075/ijomeh.1896.00802. PubMed PMID: 28220905.
  29. Wang Y, Guo X. Meta-analysis of association between mobile phone use and glioma risk. Journal of cancer research and therapeutics. 2016;12:C298-C300. doi: 10.4103/0973-1482.200759. PubMed PMID: 28230042.
  30. Kim SJ, Ioannides SJ, Elwood JM. Trends in incidence of primary brain cancer in New Zealand, 1995 to 2010. Aust N Z J Public Health. 2015;39:148-52. doi: 10.1111/1753-6405.12338. PubMed PMID: 25715883.
  31. Carlberg M, Hedendahl L, Ahonen M, Koppel T, Hardell L. Increasing incidence of thyroid cancer in the Nordic countries with main focus on Swedish data. BMC cancer. 2016;16:426. doi: 10.1186/s12885-016-2429-4. PubMed PMID: 27388603; PubMed Central PMCID: PMCPMC4937579.
  32. Belyaev I. Duration of exposure and dose in assessing nonthermal biological effects of microwaves. Dosimetry in Bioelectromagnetics. Florida: CRC Press; 2017. p. 171-84.
  33. Giuliani L, Soffritti M. Non-thermal effects and mechanisms of interaction between electromagnetic fields and living matter: Eur J Oncol. 2010;5.
  34. Coureau G, Bouvier G, Lebailly P, Fabbro-Peray P, Gruber A, Leffondre K, et al. Mobile phone use and brain tumours in the CERENAT case-control study. Occup Environ Med. 2014;71:514-22. doi: 10.1136/oemed-2013-101754. PubMed PMID: 24816517.
  35. Prasad M, Kathuria P, Nair P, Kumar A, Prasad K. Mobile phone use and risk of brain tumours: a systematic review of association between study quality, source of funding, and research outcomes. Neurol Sci. 2017;38:797-810. doi: 10.1007/s10072-017-2850-8. PubMed PMID: 28213724.
  36. Yakymenko I, Sidorik E, Kyrylenko S, Chekhun V. Long-term exposure to microwave radiation provokes cancer growth: evidences from radars and mobile communication systems. Exp Oncol. 2011;33:62-70. PubMed PMID: 21716201.
  37. Alexiou GA, Sioka C. Mobile phone use and risk for intracranial tumors. J Negat Results Biomed. 2015;14:23. doi: 10.1186/s12952-015-0043-7. PubMed PMID: 26699288; PubMed Central PMCID: PMCPMC4690283.
  38. Yang M, Guo W, Yang C, Tang J, Huang Q, Feng S, et al. Mobile phone use and glioma risk: A systematic review and meta-analysis. PloS one. 2017;12:e0175136. doi: 10.1371/journal.pone.0175136. PubMed PMID: 28472042; PubMed Central PMCID: PMCPMC5417432.
  39. Morgan LL, Miller AB, Sasco A, Davis DL. Mobile phone radiation causes brain tumors and should be classified as a probable human carcinogen (2A) (review). Int J Oncol. 2015;46:1865-71. doi: 10.3892/ijo.2015.2908. PubMed PMID: 25738972.
  40. Coureau G, Leffondre K, Gruber A, Bouvier G, Baldi I. Author’s response: re ‘mobile phone use and brain tumours in the CERENAT case-control study’. Occup Environ Med. 2015;72:79-80. doi: 10.1136/oemed-2014-102649. PubMed PMID: 25387787.
  41. Momoli F, Siemiatycki J, McBride ML, Parent ME, Richardson L, Bedard D, et al. Probabilistic multiple-bias modelling applied to the Canadian data from the INTERPHONE study of mobile phone use and risk of glioma, meningioma, acoustic neuroma, and parotid gland tumors. . Am J Epidemiol. 2017;186:885-93. doi: 10.1093/aje/kwx157. PubMed PMID: 28535174; PubMed Central PMCID: PMCPMC5860390.
Journal of Biomedical Physics and Engineering
Volume 9, Issue 4 - Serial Number 4
34
July and August 2019
Pages 487-494
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