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[Cancer Research 62, 518-527, January 15, 2002]
© 2002 American Association for Cancer Research


Molecular Biology and Genetics

Genome-wide cDNA Microarray Screening to Correlate Gene Expression Profiles with Sensitivity of 85 Human Cancer Xenografts to Anticancer Drugs1

Hitoshi Zembutsu, Yasuyuki Ohnishi, Tatsuhiko Tsunoda, Yoichi Furukawa, Toyomasa Katagiri, Yoshito Ueyama, Norikazu Tamaoki, Tatsuji Nomura, Osamu Kitahara, Rempei Yanagawa, Koichi Hirata and Yusuke Nakamura2

Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639 [H. Z., Y. F., T. K., O. K., R. Y., Y. N.]; Central Institute for Experimental Animals, Kanagawa 216-0001 [Y. O., N. T., T. N.]; Laboratory for Medical Informatics, SNP Research Center, Riken (Institute of Physical and Chemical Research), Tokyo 108-8639 [T. T.]; Department of Pathology, Tokai University, School of Medicine, Kanagawa 259-1193 [Y. U.]; and First Department of Surgery, Sapporo Medical University, School of Medicine, Hokkaido 060-0061 [H. Z., K. H.], Japan

One of the most critical issues to be solved in regard to cancer chemotherapy is the need to establish a method for predicting efficacy or toxicity of anticancer drugs for individual patients. To identify genes that might be associated with chemosensitivity, we used a cDNA microarray representing 23,040 genes to analyze expression profiles in a panel of 85 cancer xenografts derived from nine human organs. The xenografts, implanted into nude mice, were examined for sensitivity to nine anticancer drugs (5-fluorouracil, 3-[(4-amino-2-methyl-5-pyrimidinyl)methyl]-1-(2-chloroethyl)-1-nitrosourea hydrochloride, adriamycin, cyclophosphamide, cisplatin, mitomycin C, methotrexate, vincristine, and vinblastine). Comparison of the gene expression profiles of the tumors with sensitivities to each drug identified 1,578 genes whose expression levels correlated significantly with chemosensitivity; 333 of those genes showed significant correlation with two or more drugs, and 32 correlated with six or seven drugs. These data should contribute useful information for identifying predictive markers for drug sensitivity that may eventually provide "personalized chemotherapy" for individual patients, as well as for development of novel drugs to overcome acquired resistance of tumor cells to chemical agents.




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HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
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Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2002 by the American Association for Cancer Research.