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High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea

  • Kim, Yun Jeong (Department of Preventive Medicine, College of Medicine, Korea University) ;
  • Park, Man Sik (Department of Statistics, College of Natural Sciences, Sungshin Women's University) ;
  • Lee, Eunil (Department of Preventive Medicine, College of Medicine, Korea University) ;
  • Choi, Jae Wook (Department of Preventive Medicine, College of Medicine, Korea University)
  • Published : 2016.02.05

Abstract

We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in $R^2$ from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects.

Keywords

References

  1. Althuis MD, Fergenbaum JH, Garcia-Closas M, et al (2004). Etiology of hormone receptor-defined breast cancer: a systematic review of the literature. Cancer Epidemiol Biomarkers Prev, 13, 1558-68.
  2. Anisimov VN (2006). Light pollution, reproductive function and cancer risk. Neuro Endocrinol Lett, 27, 35-52.
  3. Bauer SE, Wagner SE, Burch J, et al (2013). A case-referent study: light at night and breast cancer risk in Georgia. Int J Health Geogr, 12, 23. https://doi.org/10.1186/1476-072X-12-23
  4. Bhatti P, Cushing-Haugen KL, Wicklund KG, et al (2013). Nightshift work and risk of ovarian cancer. Occup Environ Med, 70, 231-7. https://doi.org/10.1136/oemed-2012-101146
  5. Blask DE, Brainard GC, Dauchy RT, et al (2005). Melatonindepleted blood from premenopausal women exposed to light at night stimulates growth of human breast cancer xenografts in nude rats. Cancer Res, 65, 11174-84. https://doi.org/10.1158/0008-5472.CAN-05-1945
  6. Bonde JP, Hansen J, Kolstad HA, et al (2012). Work at night and breast cancer--report on evidence-based options for preventive actions. Scand J Work Environ Health, 38, 380-90. https://doi.org/10.5271/sjweh.3282
  7. Coleman MP, Reiter RJ (1992). Breast cancer, blindness and melatonin. Eur J Cancer, 28, 501-3. https://doi.org/10.1016/S0959-8049(05)80087-5
  8. Cos S, Gonzalez A, Martinez-Campa C, et al (2008). Melatonin as a selective estrogen enzyme modulator. Curr Cancer Drug Targets, 8, 691-702. https://doi.org/10.2174/156800908786733469
  9. Dauchy RT, Blask DE, Sauer LA, et al (1999). Dim light during darkness stimulates tumor progression by enhancing tumor fatty acid uptake and metabolism. Cancer Lett, 144, 131-6. https://doi.org/10.1016/S0304-3835(99)00207-4
  10. Dauchy RT, Sauer LA, Blask DE, et al (1997). Light contamination during the dark phase in photoperiodically controlled” animal rooms: effect on tumor growth and metabolism in rats. Lab Anim Sci, 47, 511-8.
  11. Davis S, Mirick DK (2006). Circadian disruption, shift work and the risk of cancer: a summary of the evidence and studies in Seattle. Cancer Causes Control, 17, 539-45. https://doi.org/10.1007/s10552-005-9010-9
  12. Davis S, Mirick DK, Stevens RG (2001). Night shift work, light at night, and risk of breast cancer. J Natl Cancer Inst, 93, 1557-62. https://doi.org/10.1093/jnci/93.20.1557
  13. DeChello LM, Sheehan TJ (2007). Spatial analysis of colorectal cancer incidence and proportion of late-stage in Massachusetts residents: 1995-1998. Int J Health Geogr, 6, 20. https://doi.org/10.1186/1476-072X-6-20
  14. Earnest A, Hock Ong ME, Shahidah N, et al (2012). Spatial analysis of ambulance response times related to prehospital cardiac arrests in the city-state of Singapore. Prehosp Emerg Care, 16, 256-65. https://doi.org/10.3109/10903127.2011.615974
  15. Figueiro MG, Rea MS, Bullough JD (2006). Does architectural lighting contribute to breast cancer? J Carcinog, 5, 20. https://doi.org/10.1186/1477-3163-5-20
  16. Flynn-Evans EE, Stevens RG, Tabandeh H, et al (2009). Total visual blindness is protective against breast cancer. Cancer Causes Control, 20, 1753-6. https://doi.org/10.1007/s10552-009-9405-0
  17. Griffith DA (1996). Spatial autocorrelation and eigenfunctions of the geographic weights matrix accompanying georeferrenced data. Canadian Geographer, 40, 351-67. https://doi.org/10.1111/j.1541-0064.1996.tb00462.x
  18. Harling G, Castro MC (2014). A spatial analysis of social and economic determinants of tuberculosis in Brazil. Health Place, 25, 56-67. https://doi.org/10.1016/j.healthplace.2013.10.008
  19. Haus E, Smolensky M (2006). Biological clocks and shift work: circadian dysregulation and potential long-term effects. Cancer Causes Control, 17, 489-500. https://doi.org/10.1007/s10552-005-9015-4
  20. Hill SM, Belancio VP, Dauchy RT, et al (2015). Melatonin: an inhibitor of breast cancer. Endocr Relat Cancer.
  21. Jia Y, Lu Y, Wu K, et al (2013). Does night work increase the risk of breast cancer? A systematic review and meta-analysis of epidemiological studies. Cancer Epidemiol, 37, 197-206. https://doi.org/10.1016/j.canep.2013.01.005
  22. Juyoung K, Dongmug K (2012). Spatial analysis methods for asbestos exposure research. Korean Journal of Environmental Health, 38, 369-79. https://doi.org/10.5668/JEHS.2012.38.5.369
  23. Kakizaki M, Kuriyama S, Sone T, et al (2008). Sleep duration and the risk of breast cancer: the Ohsaki Cohort Study. Br J Cancer, 99, 1502-5. https://doi.org/10.1038/sj.bjc.6604684
  24. Kim YJ, Lee E, Lee HS, et al (2015). High prevalence of breast cancer in light polluted areas in urban and rural regions of South Korea: An ecologic study on the treatment prevalence of female cancers based on National Health Insurance data. Chronobiol Int, 32, 657-67. https://doi.org/10.3109/07420528.2015.1032413
  25. Kliukiene J, Tynes T, Andersen A (2001). Risk of breast cancer among Norwegian women with visual impairment. Br J Cancer, 84, 397-9. https://doi.org/10.1054/bjoc.2000.1617
  26. Kloog I, Haim A, Stevens RG, et al (2008). Light at night codistributes with incident breast but not lung cancer in the female population of Israel. Chronobiol Int, 25, 65-81. https://doi.org/10.1080/07420520801921572
  27. Lie JA, Roessink J, Kjaerheim K (2006). Breast cancer and night work among Norwegian nurses. Cancer Causes Control, 17, 39-44. https://doi.org/10.1007/s10552-005-3639-2
  28. Lim YR, Bae HJ, Lim YH, et al (2014). Spatial analysis of PM10 and cardiovascular mortality in the Seoul metropolitan area. Environ Health Toxicol, 29, 2014005. https://doi.org/10.5620/eht.2014.29.e2014005
  29. Martinez-Campa C, Alonso-Gonzalez C, Mediavilla MD, et al (2006). Melatonin inhibits both ER alpha activation and breast cancer cell proliferation induced by a metalloestrogen, cadmium. J Pineal Res, 40, 291-6. https://doi.org/10.1111/j.1600-079X.2006.00315.x
  30. McElroy JA, Newcomb PA, Titus-Ernstoff L, et al (2006). Duration of sleep and breast cancer risk in a large populationbased case-control study. J Sleep Res, 15, 241-9. https://doi.org/10.1111/j.1365-2869.2006.00523.x
  31. Moore DA, Carpenter TE (1999). Spatial analytical methods and geographic information systems: use in health research and epidemiology. Epidemiol Rev, 21, 143-61. https://doi.org/10.1093/oxfordjournals.epirev.a017993
  32. Polyak K (2011). Heterogeneity in breast cancer. J Clin Invest, 121, 3786-8. https://doi.org/10.1172/JCI60534
  33. Rivenbark AG, O'Connor SM, Coleman WB (2013). Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine. Am J Pathol, 183, 1113-24. https://doi.org/10.1016/j.ajpath.2013.08.002
  34. Sanchez-Barcelo EJ, Cos S, Fernandez R, et al (2003). Melatonin and mammary cancer: a short review. Endocr Relat Cancer, 10, 153-9. https://doi.org/10.1677/erc.0.0100153
  35. Sanchez-Barcelo EJ, Mediavilla MD, Alonso-Gonzalez C, et al (2012). Breast cancer therapy based on melatonin. Recent Pat Endocr Metab Immune Drug Discov, 6, 108-16. https://doi.org/10.2174/187221412800604581
  36. Schernhammer ES, Berrino F, Krogh V, et al (2008). Urinary 6-sulfatoxymelatonin levels and risk of breast cancer in postmenopausal women. J Natl Cancer Inst, 100, 898-905. https://doi.org/10.1093/jnci/djn171
  37. Schernhammer ES, Hankinson SE (2009). Urinary melatonin levels and postmenopausal breast cancer risk in the Nurses' Health Study cohort. Cancer Epidemiol Biomarkers Prev, 18, 74-9. https://doi.org/10.1158/1055-9965.EPI-08-0637
  38. Schernhammer ES, Laden F, Speizer FE, et al (2003). Night-shift work and risk of colorectal cancer in the nurses' health study. J Natl Cancer Inst, 95, 825-8. https://doi.org/10.1093/jnci/95.11.825
  39. Schoenfeld ER, O'Leary ES, Henderson K, et al (2003). Electromagnetic fields and breast cancer on Long Island: a case-control study. Am J Epidemiol, 158, 47-58. https://doi.org/10.1093/aje/kwg106
  40. Shah SA, Neoh HM, Rahim SS, et al (2014). Spatial analysis of colorectal cancer cases in Kuala Lumpur. Asian Pac J Cancer Prev, 15, 1149-54. https://doi.org/10.7314/APJCP.2014.15.3.1149
  41. Snedeker SM (2006). Chemical exposures in the workplace: effect on breast cancer risk among women. Aaohn J, 54, 270-9. https://doi.org/10.1177/216507990605400604
  42. Srinivasan V, Spence DW, Pandi-Perumal SR, et al (2008). Melatonin, environmental light, and breast cancer. Breast Cancer Res Treat, 108, 339-50.
  43. Stevens RG, Blask DE, Brainard GC, et al (2007). Meeting report: the role of environmental lighting and circadian disruption in cancer and other diseases. Environ Health Perspect, 115, 1357-62. https://doi.org/10.1289/ehp.10200
  44. Vieira V, Webster T, Weinberg J, et al (2005). Spatial analysis of lung, colorectal, and breast cancer on Cape Cod: an application of generalized additive models to case-control data. Environ Health, 4, 11. https://doi.org/10.1186/1476-069X-4-11
  45. Viswanathan AN, Hankinson SE, Schernhammer ES (2007). Night shift work and the risk of endometrial cancer. Cancer Res, 67, 10618-22. https://doi.org/10.1158/0008-5472.CAN-07-2485
  46. Viswanathan AN, Schernhammer ES (2009). Circulating melatonin and the risk of breast and endometrial cancer in women. Cancer Lett, 281, 1-7. https://doi.org/10.1016/j.canlet.2008.11.002
  47. Wu AH, Wang R, Koh WP, et al (2008). Sleep duration, melatonin and breast cancer among Chinese women in Singapore. Carcinogenesis, 29, 1244-8. https://doi.org/10.1093/carcin/bgn100

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