Journal of Environmental and Public Health

Journal of Environmental and Public Health / 2018 / Article

Letter to the Editor | Open Access

Volume 2018 |Article ID 2170208 | https://doi.org/10.1155/2018/2170208

Alasdair Philips, Denis L. Henshaw, Graham Lamburn, Michael J. O’Carroll, "Authors’ Comment on “Brain Tumours: Rise in Glioblastoma Multiforme Incidence in England 1995–2015 Suggests an Adverse Environmental or Lifestyle Factor”", Journal of Environmental and Public Health, vol. 2018, Article ID 2170208, 3 pages, 2018. https://doi.org/10.1155/2018/2170208

Authors’ Comment on “Brain Tumours: Rise in Glioblastoma Multiforme Incidence in England 1995–2015 Suggests an Adverse Environmental or Lifestyle Factor”

Academic Editor: Evelyn O. Talbott
Received13 Jun 2018
Accepted14 Jun 2018
Published25 Jun 2018

At the request of the Editor, we here provide further background to our article [1].

Over the past 20 years, the authors have been involved in organising international conferences on causes of cancer and finding precautionary actions that may help to reduce the ongoing overall rise in the cancer burden [2, 3]. As part of this, we follow trends in cancer incidence across all ages. We were hearing from clinicians that they were seeing an increase in aggressive brain tumours, especially glioblastoma multiforme (GBM), but cancer registries were generally reporting no significant overall increased incidence in brain tumours.

By 2008, we were seeing a statistically significant increased incidence in frontal and temporal lobe tumours and a decrease in tumour incidence at some other brain sites listed in UK Office for National Statistics (ONS) MB1 cancer data. In November 2011, three of the current authors discussed this rise during a two-day EC conference in Brussels. We were told by two leading European epidemiologists that if we could not see a clear trend in the overall data, there was no point in looking at underlying, more detailed data.

The rising incidence in frontal and temporal lobes continued to appear in the public MB1 data and we decided to formally test our suspicion that something important was changing. We applied for, and obtained, more detailed information from the ONS which included ICD-O-10 coding. As part of our ongoing monitoring, we have twice had these data updated. This resulted in our current article [1], where we report a clear increasing trend in GBM incidence over time. In the article, we also briefly discuss a number of different possible causal factors that have been reported in the scientific literature.

We acknowledge that published data from the US Central Brain Tumor Registry (CBTRUS) and the Surveillance, Epidemiology, and End Results (SEER) organisations do not report a similar rise in GBM. One factor will be that, according to CBTRUS, GBM incidence rate in black people is approximately half that for white people and has a different age-related profile [4]. The US has a higher percentage of black people compared with England and this will have some effect on the whole-population brain tumour data profile.

However, we have come to an initial conclusion that the main reason is due to (a) the US2000 Standard Population that they use to adjust their data and (b) the fact that they use age-standardised data even for age-grouped data that would usually be age-specific. Age-standardised data are used for comparing overall rates between countries and for following overall data trends within a country.

All the data in the CBTRUS reports (see Figure 13 in each reference [5, 6]) are stated as being adjusted to the US2000 Standard Population [7]. This does not reasonably represent the age spectrum of the current US population. This is shown in Figure 1.

The current US population is very different from the US2000 Standard Population. The effect of applying US2000 is to reduce, by about 30%, the overall contribution from cases in people aged 50 to 70 years. This is the age range of the majority of the cases in the ONS data which show the rising GBM incidence trend. Using US2000 gives added weight to the “healthy worker” age range (30 to 44), where relatively few GBM cases occur. It is important that the age standardisation profile is a reasonable fit to the current population age profile. We note that SEER updated the US Standard Population every ten years from 1940 to 2000 but have not done so since 2000 [6].

We offer, for discussion, Figure 2, where we have back-adjusted the US age-group data from US2000 to the actual US population data for 2008 and 2012 [8], along with English ONS data for two five-year periods from our article. The readjusted US data now show an increase in GBM similar to our findings. US data of unadjusted, age-specific GBM incidence rates for all 5-year age groups for every year from 2005 and 2015 are required to check our approximate correction.

We would like to add to the discussion of potential risk factors in our article.

There is a growing body of evidence that exposure to air pollution, notably arising from the carcinogenic components of vehicle exhausts, such as PAHs, 1,3-butadiene, and diesel particulate matter generally, may be associated with increased risk of brain tumours in both children and adults. Studies in children, young adults, and canines indicate that inhaled ultrafine air pollution particles, ~100 nm, pass through the lung to reach and both damage and cross the blood-brain barrier (Calderón-Garcidueñas et al. (2008) [9], (2003) [10]).

Braüner et al. (2013) [11] reported an association between calculated domestic radon exposure and brain tumour incidence in a Danish cohort, with doubling of risk with each 100 Bq. increment in average residential radon levels. Indoor radon levels have increased in recent decades with the progressive introduction of double-glazed windows and general house sealing, resulting in lower rates of air changes with outside air.

Ostrom et al. [12] considered mobile phone use and judged that the current evidence “was inconclusive” but recommended continued monitoring of this issue. De Vocht (2016) [13] concluded that “A causal factor, of which mobile phone use (and possibly other wireless equipment) is in agreement with the hypothesized temporal association, is related to an increased risk of developing malignant neoplasms in the temporal lobe.” He later published an important correction to the article, showing a large rise in GBM tumour incidence with time [14]. The article reports that the GBM rise was not associated with his mobile phone use impact modelling, but we note that the model was only for primary initiation and not promotion of lower-grade tumours.

Our article does not focus on any particular risk factor to explain the rising incidence of aggressive GBM tumours, which are usually quickly fatal. We recommend that our detailed analyses be repeated for cancer registry data in other countries. If our results are confirmed, then high priority should be given to identifying the factors involved in the rise.

Conflicts of Interest

See the authors’ article for the statement [1].

References

  1. A. Philips, D. L. Henshaw, G. Lamburn, and M. O'Carroll, “Brain tumours: rise in Glioblastoma Multiforme incidence in England 1995–2015 suggests an adverse environmental or lifestyle factor,” Journal of Environmental and Public Health, vol. 2018, Article ID 7910754, 10 pages, 2018. View at: Publisher Site | Google Scholar
  2. Childhood Cancer 2012, Early Exposures And Childhood Cancer, Children with Cancer UK, http://www.childhoodcancer2012.org.uk/index.asp.
  3. Cancer in Children and Young People 2018, Children with Cancer UK, http://www.childhoodcancer2018.org.uk/index.asp.
  4. SEER*Explorer, Surveillance, Epidemiology, and End Results Program, National Cancer Institute, 2018, https://seer.cancer.gov/explorer/application.php?site=76&data_type=1&graph_type=3&compareBy=race&chk_sex_1=1&chk_sex_3=3&chk_sex_2=2&chk_race_5=5&chk_race_4=4&chk_race_3=3&chk_race_6=6&chk_race_2=2&advopt_precision=1&showDataFor=sex_1.
  5. Q. T. Ostrom, H. Gittleman, P. Liao et al., “CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014,” Neuro-Oncology, vol. 19, no. suppl_5, pp. v1–v88, 2017. View at: Publisher Site | Google Scholar
  6. Q. T. Ostrom, H. Gittleman, P. Farah et al., “CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2006–2010,” Neuro-Oncology, vol. 15, supplement 2, pp. ii1–ii56, 2013. View at: Publisher Site | Google Scholar
  7. Standard Populations (Millions) for Age-Adjustment, Surveillance, Epidemiology, and End Results Program, National Cancer Institute, https://seer.cancer.gov/stdpopulations/.
  8. U.S. and World Population Clock, “United States Census Bureau,” https://www.census.gov/popclock/data_tables.php?component=pyramid. View at: Google Scholar
  9. L. Calderón-Garcidueñas, A. C. Solt, C. Henríquez-Roldán et al., “Long-term air pollution exposure is associated with neuroinflammation, an altered innate immune response, disruption of the blood-brain barrier, ultrafine particulate deposition, and accumulation of amyloid β-42 and α-synuclein in children and young adults,” Toxicologic Pathology, vol. 36, no. 2, pp. 289–310, 2008. View at: Publisher Site | Google Scholar
  10. L. Calderón-Garcidueñas, R. R. Maronpot, R. Torres-Jardon et al., “DNA damage in nasal and brain tissues of canines exposed to air pollutants is associated with evidence of chronic brain inflammation and neurodegeneration,” Toxicologic Pathology, vol. 31, no. 5, pp. 524–538, 2003. View at: Publisher Site | Google Scholar
  11. E. V. Bräuner, Z. J. Andersen, C. E. Andersen et al., “Residential Radon and Brain Tumour Incidence in a Danish Cohort,” PLoS ONE, vol. 8, no. 9, Article ID e74435, 2013. View at: Publisher Site | Google Scholar
  12. Q. T. Ostrom, L. Bauchet, F. G. Davis et al., “The epidemiology of glioma in adults – a ‘state of the science’ review,” Neuro-Oncology, vol. 16, no. 7, pp. 896–913, 2014. View at: Publisher Site | Google Scholar
  13. F. De Vocht, “Inferring the 1985–2014 impact of mobile phone use on selected brain cancer subtypes using Bayesian structural time series and synthetic controls,” Environment International, vol. 97, pp. 100–110, 2016. View at: Publisher Site | Google Scholar
  14. F. de Vocht, “Corrigendum to “Inferring the 1985–2014 impact of mobile phone use on selected brain cancer subtypes using Bayesian structural time series and synthetic controls” [Environ. Int. (2016), 97, 100-107],” Environment International, vol. 101, pp. 201-202, 2017. View at: Publisher Site | Google Scholar

Copyright © 2018 Alasdair Philips et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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