Selection of Causal Gene Sets for Lymphoma Prognostication from Expression Profiling and Construction of Prognostic Fuzzy Neural Network Models(MEDICAL BIOTECHNOLOGY)
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概要
- 論文の詳細を見る
To assess the response of lymphomas to chemotherapy, gene expression pro filing data from DNA microarrays were analyzed using the fuzzy neural network (FNN) modeling method. We used the FNN modeling method to produce 10 noninferior models. Using these models, we were able to predict diffuse large B-cell lymphoma (DLBCL) patient outcome with 93% accuracy. Of the 37 genes in the 10 models, 13 genes were repeatedly selected, indicating that these genes are important for prognostication. On Kaplan-Meier plots of overall survival, patients predicted by the FNN model to be cured survived significantly longer than those predicted to be refractory (P<0.0001), indicating that the FNN could successfully identify patients with a relatively poor prognosis among low-clinical-risk patients. The FNN modeling method presented here is able to precisely extract significant biological markers affecting prognosis.
- 社団法人日本生物工学会の論文
- 2003-08-25
著者
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Honda Hiroyuki
Department of Biotechnology, School of Engineering, Nagoya University
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本多 裕之
名大院工・生物機能
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Kobayashi T
School Of Bioscience And Biotechnology Chubu University
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Seto M
Aichi Cancer Center Res. Inst. Nagoya
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KOBAYASHI Takeshi
Department of Electrical Engineering, Faculty of Engineering Science, Osaka University
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Kobayasi T
School Of Bioscience And Biotechnology Chubu University
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Seto Masao
名古屋大学 工学部
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SETO Masao
Division of Molecular Medicine, Aichi Cancer Center Research Institute
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SUGURO Miyuki
Division of Molecular Medicine, Aichi Cancer Center Research Institute
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Honda Hiroyuki
Department Of Bioengineering Tokyo Institute Of Technology
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Kobayashi T
Graduate School Of Marine Science And Technology Tokyo University Of Marine Science And Technology
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ANDO Tatsuya
Department of Biotechnology, School of Engineering, Nagoya University
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Seto Masao
Division Of Molecular Medicine Aichi Cancer Center
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Kobayashi Takeshi
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Ando Tatsuya
Department Of Biotechnology School Of Engineering Nagoya University
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Suguro Miyuki
Division Of Molecular Medicine Aichi Cancer Center Research Institute
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Suguro Miyuki
愛知県がんセンター研究所 遺伝子医療研究部
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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