%0 Journal Article
%T New Short Term Prediction Method for Chemical Carcinogenicity by Hepatic Transcript Profiling Following 28-Day Toxicity Tests in Rats
%A Hiroshi Matsumoto
%A Yoshikuni Yakabe
%A Fumiyo Saito
%A Koichi Saito
%A Kayo Sumida
%A Masaru Sekijima
%A Koji Nakayama
%A Hideki Miyaura
%A Masanori Otsuka and Tomoyuki Shirai
%J Cancer Informatics
%D 2012
%I 
%R 10.4137/CIN.S7789
%X We have previously shown the hepatic gene expression profiles of carcinogens in 28-day toxicity tests were clustered into three major groups (Group-1 to 3). Here, we developed a new prediction method for Group-1 carcinogens which consist mainly of genotoxic rat hepatocarcinogens. The prediction formula was generated by a support vector machine using 5 selected genes as the predictive genes and predictive score was introduced to judge carcinogenicity. It correctly predicted the carcinogenicity of all 17 Group-1 chemicals and 22 of 24 non-carcinogens regardless of genotoxicity. In the dose-response study, the prediction score was altered from negative to positive as the dose increased, indicating that the characteristic gene expression profile emerged over a range of carcinogen-specific doses. We conclude that the prediction formula can quantitatively predict the carcinogenicity of Group-1 carcinogens. The same method may be applied to other groups of carcinogens to build a total system for prediction of carcinogenicity.
%U http://www.la-press.com/new-short-term-prediction-method-for-chemical-carcinogenicity-by-hepat-article-a2889