@article{oai:repo.qst.go.jp:00047115, author = {Yoshii, Yukie and Furukawa, Takako and Waki, Atsuo and Okuyama, Hiroaki and Inoue, Masahiro and Itoh, Manabu and Zhang, Ming-Rong and Wakizaka, Hidekatsu and Sogawa, Chizuru and Kiyono, Yasushi and Yoshii, Hiroshi and Fujibayashi, Yasuhisa and Saga, Tsuneo and 吉井 幸恵 and 古川 高子 and 脇 厚生 and 張 明栄 and 脇坂 秀克 and 曽川 千鶴 and 吉井 裕 and 藤林 康久 and 佐賀 恒夫}, journal = {Biomaterials}, month = {Feb}, note = {Anti-cancer drug development typically utilizes high-throughput screening with two-dimensional (2D) cell culture. However, 2D culture induces cellular characteristics different from tumors in vivo, resulting in inefficient drug development. Here, we report an innovative high-throughput screening system using nanoimprinting 3D culture to simulate in vivo conditions, thereby facilitating efficient drug development. We demonstrated that cell line-based nanoimprinting 3D screening can more efficiently select drugs that effectively inhibit cancer growth in vivo as compared to 2D culture. Metabolic responses after treatment were assessed using positron emission tomography (PET) probes, and revealed similar characteristics between the 3D spheroids and in vivo tumors. Further, we developed an advanced method to adopt cancer cells from patient tumor tissues for high-throughput drug screening with nanoimprinting 3D culture, which we termed Cancer tissue-Originated Uniformed Spheroid Assay (COUSA). This system identified drugs that were effective in xenografts of the original patient tumors. Nanoimprinting 3D spheroids showed low permeability and formation of hypoxic regions inside, similar to in vivo tumors. Collectively, the nanoimprinting 3D culture provides easy-handling high-throughput drug screening system, which allows for efficient drug development by mimicking the tumor environment. The COUSA system could be a useful platform for drug development with patient cancer cells.}, pages = {278--289}, title = {High-throughput screening with nanoimprinting 3D culture for efficient drug development by mimicking the tumor environment}, volume = {51}, year = {2015} }