| Literature DB >> 33674758 |
Shimpei I Kubota1, Kei Takahashi1, Tomoyuki Mano2, Katsuhiko Matsumoto3, Takahiro Katsumata2, Shoi Shi2, Kazuki Tainaka4, Hiroki R Ueda2,3, Shogo Ehata5,6, Kohei Miyazono7.
Abstract
Tissue clearing is one of the most powerful strategies for a comprehensive analysis of disease progression. Here, we established an integrated pipeline that combines tissue clearing, 3D imaging, and machine learning and applied to a mouse tumour model of experimental lung metastasis using human lung adenocarcinoma A549 cells. This pipeline provided the spatial information of the tumour microenvironment. We further explored the role of transforming growth factor-β (TGF-β) in cancer metastasis. TGF-β-stimulated cancer cells enhanced metastatic colonization of unstimulated-cancer cells in vivo when both cells were mixed. RNA-sequencing analysis showed that expression of the genes related to coagulation and inflammation were up-regulated in TGF-β-stimulated cancer cells. Further, whole-organ analysis revealed accumulation of platelets or macrophages with TGF-β-stimulated cancer cells, suggesting that TGF-β might promote remodelling of the tumour microenvironment, enhancing the colonization of cancer cells. Hence, our integrated pipeline for 3D profiling will help the understanding of the tumour microenvironment.Entities:
Year: 2021 PMID: 33674758 PMCID: PMC7935961 DOI: 10.1038/s42003-021-01786-y
Source DB: PubMed Journal: Commun Biol ISSN: 2399-3642