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[Cancer Research 61, 6474-6479, September 1, 2001]
© 2001 American Association for Cancer Research


Molecular Biology and Genetics

Prediction of Sensitivity of Esophageal Tumors to Adjuvant Chemotherapy by cDNA Microarray Analysis of Gene-Expression Profiles1

Chikashi Kihara2, Tatsuhiko Tsunoda2, Toshihiro Tanaka, Hideaki Yamana, Yoichi Furukawa, Kenji Ono, Osamu Kitahara, Hitoshi Zembutsu, Rempei Yanagawa, Koichi Hirata, Toshihisa Takagi and Yusuke Nakamura3

Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan [C. K., Y. F., K. O., O. K., H. Z., R. Y., T. Tak., Y. N.]; Department of Surgery, Kurume University, School of Medicine, Kurume 830-0011, Japan [H. Y.]; First Department of Surgery, Sapporo Medical University, School of Medicine, Sapporo, Hokkaido 060-0061, Japan [C. K., K. H.]; and SNP Research Center, Riken Institute of Physical and Chemical Research, Tokyo 108-8639, Japan [T. Tsu., T. Tan.]

We applied cDNA microarray analyses of 9216 genes to establish a geneticmethod for predicting the outcome of adjuvant chemotherapy to esophagealcancers. We analyzed expression profiles of 20 esophageal cancer tissues from patients who were treated with the same adjuvant chemotherapy after removal of tumor by operation, and we attempted to find genes associated with the duration of survival after surgery. By comparing expression profiles of those cancer tissues, we identified by statistical analysis 52 genes that were likely to be correlated with prognosis and possibly with sensitivity/resistance to the anticancer drugs. We also developed a drug response score based on the differential expression of these genes, and we found a significant correlation between the drug response score and individual patients’ prognoses. Our results indicated that this scoring system, based on microarray analysis of selected genes, is likely to have great potential for predicting the prognosis of individual cancer patients with the adjuvant chemotherapy.




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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
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2001 by the American Association for Cancer Research.