Visualization of epithelial-mesenchymal transition in an inflammatory microenvironment–colorectal cancer network

Epithelial-mesenchymal transition (EMT) is a biological process by which epithelial cells acquire mesenchymal characteristics. In malignant tumors, EMT is crucial for acquisition of a mesenchymal phenotype with invasive and metastatic properties, leading to tumor progression. An inflammatory microen...

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Published inScientific reports Vol. 9; no. 1; pp. 16378 - 11
Main Authors Ieda, Takeshi, Tazawa, Hiroshi, Okabayashi, Hiroki, Yano, Shuya, Shigeyasu, Kunitoshi, Kuroda, Shinji, Ohara, Toshiaki, Noma, Kazuhiro, Kishimoto, Hiroyuki, Nishizaki, Masahiko, Kagawa, Shunsuke, Shirakawa, Yasuhiro, Saitou, Takashi, Imamura, Takeshi, Fujiwara, Toshiyoshi
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 08.11.2019
Nature Publishing Group
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Summary:Epithelial-mesenchymal transition (EMT) is a biological process by which epithelial cells acquire mesenchymal characteristics. In malignant tumors, EMT is crucial for acquisition of a mesenchymal phenotype with invasive and metastatic properties, leading to tumor progression. An inflammatory microenvironment is thought to be responsible for the development and progression of colorectal cancer (CRC); however, the precise role of inflammatory microenvironments in EMT-related CRC progression remains unclear. Here, we show the spatiotemporal visualization of CRC cells undergoing EMT using a fluorescence-guided EMT imaging system in which the mesenchymal vimentin promoter drives red fluorescent protein (RFP) expression. An inflammatory microenvironment including TNF-α, IL-1β, and cytokine-secreting inflammatory macrophages induced RFP expression in association with the EMT phenotype in CRC cells. In vivo experiments further demonstrated the distribution of RFP-positive CRC cells in rectal and metastatic tumors. Our data suggest that the EMT imaging system described here is a powerful tool for monitoring EMT in inflammatory microenvironment–CRC networks.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-52816-z