DOI QR코드

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Applications of Geostatistics to the Quantitative Analysis of Genetic Instability in Carcinogenesis

  • 발행 : 2006.04.01

초록

It has long been recognized that cancer is a genetic disease. To find this measures of genetic instability, stain cells with chromosome specific probes using chromosome in-situ hybridization technique is adopted. Even though in-situ hybridization technique is powerful, truncation of nuclei often results in under-representation of chromosome copies in slides due to the sectioning of tissue blocks. Because of this problem we suggest three different methods to analyze the cervical cancer data set. We observe that genetic instability is an increasing function of histology and our suggested model is the best in detecting genetic instability of tumorigenesis processes.

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참고문헌

  1. Andreeff, M. and Pinkel, D. (1999), Introduction to Fluorescence In Situ Hybridization: Principles and Clinical Applications, Wiley -Liss, Inc
  2. Besag, J. (1974). Spatial Interaction and the Statistical Analysis of Lattice Systems. Journal of the Royal Statistical Society Ser. B, Vol. 36, 192-225
  3. Brambilla, C. and Brambilla, E. (1999). Lung Tumors, Marcel Dekker, New York
  4. Cressie, N.A.C. (1993). Statistics for Spatial Data(Revised Edition), John Wiley and Sons. New York
  5. Diggle, P.J. (2003). Statistical Analysis of Spatial Point Patterns(second edition), Oxford University Press Inc., New York
  6. Kim, S.Y., Lee, J.S., Ro, J.Y., Gay, M.L., Hong, W.K., and Hittelman, W.N. (1993). Interphase Cytogenetics in Paraffin Sections of Lung Tumors by Non-Isotopic in-Situ Hybridization. American Journal of Pathology, Vol. 142, 307-317
  7. Hittelman, W.N. (2001). Genetic Instability in Epithelial Tissues at Risk for Cancer. Annals of the New York Academy of Sciences, Vol. 952, 1-12 https://doi.org/10.1111/j.1749-6632.2001.tb02723.x
  8. Littell, R.C., Milliken, G.A., Stroup, W.W., and Wo, R.D. (1996). SAS System for Mixed Models, SAS Publishing
  9. Stoyan, D. and Walder, O. (2000). On Variogram in Point Process Statistics, II: Models of Markings and Ecological Interpretation. Biometrical Journal, Vol. 42, 171-187 https://doi.org/10.1002/(SICI)1521-4036(200005)42:2<171::AID-BIMJ171>3.0.CO;2-L