Classification of Intramural Metastases and Lymph Node Metastases of Esophageal Cancer from Gene Expression Based on Boosting and Projective Adaptive Resonance Theory(BIOINFORMATICS)
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概要
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Esophageal cancer is a well-known cancer with poorer prognosis than other cancers. An optimal and individualized treatment protocol based on accurate diagnosis is urgently needed to improve the treatment of cancer patients. For this purpose, it is important to develop a sophisticated algorithm that can manage a large amount of data, such as gene expression data from DNA microarrays, for optimal and individualized diagnosis. Marker gene selection is essential in the analysis of gene expression data. We have already developed a combination method of the use of the projective adaptive resonance theory and that of a boosted fuzzy classifier with the SWEEP operator denoted PART-BFCS. This method is superior to other methods, and has four features, namely fast calculation, accurate prediction, reliable prediction, and rule extraction. In this study, we applied this method to analyze microarray data obtained from esophageal cancer patients. A combination method of PART-BFCS and the U-test was also investigated. It was necessary to use a specific type of BFCS, namely, BFCS-1,2, because the esophageal cancer data were very complexity. PART-BFCS and PART-BFCS with the U-test models showed higher performances than two conventional methods, namely, k-nearest neighbor (kNN) and weighted voting (WV). The genes including CDK6 could be found by our methods and excellent IF-THEN rules could be extracted. The genes selected in this study have a high potential as new diagnosis markers for esophageal cancer. These results indicate that the new methods can be used in marker gene selection for the diagnosis of cancer patients.
- 社団法人日本生物工学会の論文
- 2006-07-25
著者
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Honda Hiroyuki
Department of Biotechnology, School of Engineering, Nagoya University
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YOSHIDA Teruhiko
Genetics Division, National Cancer Center Research Institute
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高橋 広夫
中部大・応生・応生化
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Nakanishi Yukihiro
Pathology Division National Cancer Center Research Institute
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Honda Hiroyuki
Department Of Bioengineering Tokyo Institute Of Technology
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SASAKI Hiroki
Genetics Division, National Cancer Center Research Institute
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Yoshida Teruhiko
Genetic Counseling Clinic National Cancer Center Hospital
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Sasaki Hiroki
Genetics Division National Cancer Center Research Institute
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Takahashi Hiro
Department Of Biotechnology School Of Engineering Nagoya University
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Takahashi Hiro
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Takahashi Hiro
Department Of Biotechnology School Of Engineering Nagoya University:(present Office)college Of Biosc
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Takahashi Hiro
Research Fellow Of The Japan Society For The Promotion Of Science (jsps):department Of Biotechnology
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Aoyagi Kazuhiko
Genetics Division, National Cancer Center Research Institute
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高橋 広夫
中部大学応用生物学部植物バイオ研究センター
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Aoyagi Kazuhiko
Genetics Division National Cancer Center Research Institute
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高橋 広夫
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Suzuki Haruhisa
国立がんセンター中央病院 臨床検査
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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Takahashi Hiro
Plant Biology Research Center Chubu University
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高橋 広夫
千葉大院・園芸
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