Urinary MicroRNA-Based Diagnostic Model for Central Nervous System Tumors Using Nanowire Scaffolds
Yotaro Kitano, Kosuke Aoki, Fumiharu Ohka, Shintaro Yamazaki, Kazuya Motomura, Kuniaki Tanahashi, Masaki Hirano, Tsuyoshi Naganawa, Mikiko Iida, Yukihiro Shiraki, Tomohide Nishikawa, Hiroyuki Shimizu, Junya Yamaguchi, Sachi Maeda, Hidenori Suzuki, Toshihiko Wakabayashi, Yoshinobu Baba, Takao Yasui, Atsushi Natsume
Abstract
= 100) were analyzed using a microarray to yield comprehensive microRNA expression profiles. To clarify the origin of urinary microRNAs of patients with CNS tumors, glioblastoma organoids were generated. Glioblastoma organoid-derived differentially expressed microRNAs (DEMs) included 73.4% of the DEMs in urine of patients with parental tumors but included only 3.9% of those in urine of noncancer individuals, which suggested that many CNS tumor-derived microRNAs could be identified in urine directly. We constructed the diagnostic model based on the expression of the selected microRNAs and found that it was able to differentiate patients and noncancer individuals at a sensitivity and specificity of 100 and 97%, respectively, in an independent dataset. Our findings demonstrate that urinary microRNAs extracted with the nanowire device offer a well-fitted strategy for mass screening of CNS tumors.