Abstract
This paper focuses on the analysis of data that come from 219 radon-mine workers who underwent cytogenetic analysis (or analyses) of peripheral blood lymphocytes. The main focus lies on the connection between the results of the analysis (the occurrence of various types of chromosomal aberrations—chromatid and chromosome changes and breaks) and the incidence of carcinoma, but we also analyzed the association with other explanatory variables, such as age, smoking, and the level of exposure to radon. The Cox analysis was performed separately for the incidence of any type of cancer and for the incidence of lung cancer only as dependent variables. In the first case, we found two suitable models. Both models utilise age, smoking status, the level of exposure and the frequency of chromatid changes. In addition to these variables, the first model contains the frequency of chromatid breaks and the second model contains overall frequency of chromosomal aberrations. As for the lung cancer incidence, we found only two significant factors, the level of exposure to radon and the fact whether or not the subject ever smoked. The other purpose of the paper was to compare our results with the results of the study of Šmerhovský et al. [8], as our study was an expansion to this study. For the overall incidence of cancer, the results were not markedly different from the aforementioned study. Regarding the lung cancer incidence, a significant association of chromosomal aberration frequency and chromatid breaks frequency had been found in the original study, while our findings showed that none of the aberrations were significant for the lung cancer incidence.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
One working level WL is defined as any combination of radon and radon daughters in 1l of mine air, which will result in the emission of \(1.3 \times 10^5\) MeV of \(\alpha \) energy (definition taken from [8, p.168]).
References
Cox, D.R.: Regression model and life tables (with discussion). J. R. Statis. Soc. B 34, 187–220 (1972)
Cox, D.R.: Partial likelihood. Biometrika 62, 269–276 (1975)
České rudné hornictví v letech 1945–2000, Závod Cínovec [online]. http://www.hornictvi.info/cteni/4500/06.htm, [cited 8.3.2013]
Fleming, T.R., Harrington, D.P.: Counting Processes and Survival Analysis. Wiley, New York (1991)
ICD-10 Code Translator [online]. http://www.aapc.com/icd-10/codes/index.aspx, [used 3.12.2012]
Kalbfleisch, J.D., Prentice, R.L.: The Statistical Analysis of Failure Time Data. Wiley, 2nd edn. (2002)
Klein, M., Kleinbaum, D.G.: Survival Analysis. A Self-Learning Text, 2nd edn. Springer, New York (2005)
Šmerhovský, Z., et al.: Increased risk of cancer in radon-exposed miners with elevated frequency of chromosomal aberrations. Mutat. Res. 514, 165–176 (2002)
Therneau, T.: Package “survival” [online]. Version 2.37-4, Feb. 2013. http://cran.r-project.org/web/packages/survival/survival.pdf, [downloaded 15.3.2013]
Veraverbeke, N.: Topics on Survival Analysis. Lectures organized by the Department of probability and mathematical statistics MFF UK. Prague, April 2012
Acknowledgments
The authors would like to thank The National Institute of Public Health for providing the data and for the kind permission to publish this article.
This work was supported by the FEECS VŠB—Technical University of Ostrava (Project No. SP2014/42).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kubíčková, V. (2016). Application of Survival Analysis on Analysing the Association Between Chromosomal Aberrations and Carcinoma. In: Bris, R., Majernik, J., Pancerz, K., Zaitseva, E. (eds) Applications of Computational Intelligence in Biomedical Technology. Studies in Computational Intelligence, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-319-19147-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-19147-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19146-1
Online ISBN: 978-3-319-19147-8
eBook Packages: EngineeringEngineering (R0)