• DocumentCode
    1772708
  • Title

    Use of the survival analysis methods for investigation of the association between chromosomal aberrations and carcinoma

  • Author

    Kubickova, Veronika

  • Author_Institution
    Dept. of Appl. Math., VSB - Tech. Univ. of Ostrava Ostrava, Ostrava, Czech Republic
  • fYear
    2014
  • fDate
    9-11 July 2014
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    The primary purpose of this article is the analysis of data that come from 219 radon-mine workers who underwent cytogenetic analysis (or analyses) of peripheral blood lymphocytes. We focused on the connection between the cytogenetic analysis results (the occurrence of different types of chromosomal aberrations - chromatid and chromosome changes and breaks) and the occurrence of carcinoma. We also analyzed the influence of other explanatory variables, such as age, smoking, and the level of exposure to radon. We performed separate Cox analyses for the incidence of any type of cancer and for the incidence of lung cancer only as dependent variables. In the latter case, we found out that the only significant factors were the level of exposure to radon and the fact whether or not the subject ever smoked. As for the overall cancer incidence, 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 the study was an expansion to the study of Šmerhovský et al. from 2002, we also compared our results with the results of this study. As 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.
  • Keywords
    blood; cancer; cellular biophysics; data analysis; medical computing; Cox analyses; carcinoma; chromatid breaks frequency; chromosomal aberration frequency association; cytogenetic analysis; data analysis; lung cancer incidence; peripheral blood lymphocytes; radon-mine workers; survival analysis methods; Analytical models; Approximation methods; Biological cells; Cancer; Hazards; Lungs; Vectors; Cox model; cancer; chromosomal aberrations; radon exposure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Technologies (DT), 2014 10th International Conference on
  • Conference_Location
    Zilina
  • Type

    conf

  • DOI
    10.1109/DT.2014.6868709
  • Filename
    6868709