Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database

Abstract

The effect of current therapies in improving the survival of lung cancer patients remains far from satisfactory. It is consequently desirable to find more appropriate therapeutic opportunities based on informed insights. A molecular pharmacological analysis was undertaken to design an improved chemotherapeutic strategy for advanced lung cancer. We related… (More)
DOI: 10.1186/1471-2407-6-174

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@article{Gemma2005AnticancerDC, title={Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database}, author={Akihiko Gemma and Cai - Hong Li and Yuka Sugiyama and Kuniko Matsuda and Yoko Seike and Seiji Kosaihira and Yuji Minegishi and Rintaro Noro and Michiya Nara and Masahiro Seike and Akinobu Yoshimura and Aki Shionoya and Akiko Kawakami and Naoki Ogawa and Haruka Uesaka and Shoji Kudoh}, journal={BMC Cancer}, year={2005}, volume={6}, pages={174 - 174} }