A novel system for predicting the toxicity of irinotecan based on statistical pattern recognition with UGT1A genotypes.

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Published in Int J Oncol on July 22, 2014

Authors

Ryouichi Tsunedomi1, Shoichi Hazama1, Yusuke Fujita2, Naoko Okayama3, Shinsuke Kanekiyo1, Yuka Inoue1, Shigefumi Yoshino1, Takahiro Yamasaki3, Yutaka Suehiro3, Koji Oba4, Hideyuki Mishima5, Junichi Sakamoto6, Yoshihiko Hamamoto2, Masaaki Oka1

Author Affiliations

1: Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Yamaguchi 755-8505, Japan.
2: Department of Computer Science and Systems Engineering, Faculty of Engineering, Yamaguchi University, Yamaguchi 755-8611, Japan.
3: Department of Clinical Laboratory, Yamaguchi University Hospital, Yamaguchi 755-8505, Japan.
4: Translational Research and Clinical Trial Center, Hokkaido University Hospital, Sapporo 060-8638, Japan.
5: Unit of Cancer Center, Aichi Medical University, Nagakute 480-1195, Japan.
6: Tokai Central Hospital, Aichi 504-8601, Japan.

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