組織透明化によるがん微小環境リモデリングの解析

• Published in: 日本薬理学会年会要旨集 p. 2-O-C3-3
• Main Authors: 真野, 智之, 史, 蕭逸, 高橋, 恵生, 松本, 桂彦, 勝俣, 敬寛, 田井中, 一貴, 宮園, 浩平, 上田, 泰己, 久保田, 晋平, 江幡, 正悟
• Format: Journal Article
• Language: Japanese
• Published: 公益社団法人 日本薬理学会 2021
• Subjects: cancer
• ISSN: 2435-4953
• DOI: 10.1254/jpssuppl.94.0_2-O-C3-3

Stochastic and proliferative events initiating from a single cell can disrupt homeostatic balance and lead to fatal disease such as cancer metastasis. To overcome metastasis, it is necessary to detect and quantify sparsely-distributed metastatic cells throughout the body in the early stages. Here we demonstrate that CUBIC (clear, unobstructed brain/body imaging cocktails and computational analysis)-based cancer (CUBIC-Cancer) analysis with a refractive-indices (RI) optimized protocol enables comprehensive cancer cell profiling in whole body and organs. CUBIC-Cancer analysis is applicable to a dozen mouse models using several cancer cells and spatio-temporal quantification of metastatic cancer progression at single-cell resolution. CUBIC-Cancer analysis is applicable to profiling of the remodeling of the tumor microenvironment. The scalable analytical pipeline with these three modalities would contribute to overcome incurable metastatic diseases.