Diagnosis System for Predicting the Centrosome Hyperamplification in Bladder Cancer by Using DNA Microarray Data
Kazuhiro Tokunaga*, Fumiya Kubosaka**, Noriaki Suetake**,
Eiji Uchino*,**, and Hideyasu Matsuyama***
*Fuzzy Logic Systems Institute, 680-41 Kawazu, Iizuka, Fukuoka 820-0067, Japan
**Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan
***Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-kogushi, Ube 755-8505, Japan
In this paper, we propose a Computer Aided Diagnosis (CAD) system using a DNA microarray data for an early detection of a bladder cancer. In previous works, it is reported that one of the generating factors of the cancer cells is a centrosome hyperamplification. The centrosome hyperamplification is caused by a damage of DNA. Therefore, it is possible to detect the cancer by using the DNA microarray data. In this paper, the CAD system implemented based on a stochastic approach is proposed. The effectiveness of the present system is verified by the actual experiments.
Eiji Uchino, and Hideyasu Matsuyama, “Diagnosis System for Predicting the Centrosome Hyperamplification in Bladder Cancer by Using DNA Microarray Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.17, No.2, pp. 244-251, 2013.
-  Y. Yamamoto, H. Matsuyama, T. Fruya, A. Oga, S. Yoshihiro, M. Okuda, S. Kawauchi, K. Sasaki, and K. Naito, “Centrosome hyperamplification predicts progression and tumor recurrence in bladder cancer,” Clinical Cancer Research, Vol.10, pp. 6449-6455, 2004.
-  Y. Yamamoto, H. Matsuyama, S. Kawauchi, T. Furuya, X. P. Liu, K. Ikemoto, A. Oga, K. Naito, and K. Sasaki, “Biological characteristics in bladder cancer depend on the type of genetic instability,” Clinical Cancer Research, Vol.12, pp. 2752-2758, 2006.
-  Y. Yamamoto, H. Matsuyama, Y. Chochi, M. Okuda, S. Kawauchi, R. Inoue, T. Furuya, A. Oga, K. Naito, and K. Sasaki, “Overexpression of BUBR1 is associated with chromosomal instability in bladder cancer,” Cancer Genetics and Cytogenetics, Vol.174, pp. 42-47, 2007.
-  Y. Yamamoto, S. Eguchi, J. Akao, K. Nagao, S. Sakano, T. Furuya, A. Oga, S. Kawauchi, K. Sasaki, and H. Matsuyama, “Intercellular centrosome number is correlated with the copy number of chromosomes in bladder cancer,” Cancer Genetics and Cytogenetics, Vol.191, pp. 38-42, 2009.
-  T. Kohonen, “Self-organized formation of topologically correct feature maps,” Biological Cybernetics, Vol.43, pp. 59-69, 1982.
-  P. Tamayo, D. Slonim, J. Mesirov, Q. Zhu, S. Kitareewan, E. Dmitrovsky, E. S. Lander, and T. R. Golub, “Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation,” Proc. of the National Academy of Sciences of the United States of America, Vol.96, pp. 2907-2912, 1999.
-  P. Toronen, M. Kolehmainen, G. Wong, and E. Castren, “Analysis of gene expression data using self-organizing maps,” FEBS letters, Vol.451, pp. 142-146, 1999.
-  A. Soukas, P. Cohen, N. D. Socci, and J. M. Friedman, “Leptinspecific patterns of gene expression in white adipose tissue,” Genes & Development, Vol.14, pp. 963-980, 2000.
-  S. Tavazoie, J. D. Hughes, M. J. Campbell, R. J. Cho, and G. M. Church, “Systematic determination of genetic network architecture,” Nature genetics, Vol.22, pp. 281-285, 1999.
-  B. J. T. Morgan and A. P. G Ray, “Non-uniqueness and inversions in cluster analysis,” Applied Statistics, Vol.44, pp. 117-134, 1995.
-  D. Shalon, S. Smith, and P. Brown, “A DNA microarray system for analyzing complex DNA samples using two-color fluorescent probe hybridization,” Genome Research, Vol.6, pp. 639-645, 1996.
-  D. Call, “DNA microarrays – their mode of action and possible applications in molecular diagnostics,” Veterinary Sciences Tomorrow, Issue 3, pp. 1-9, 2001.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 International License.