The matrix-dependent 3D spheroid model of the migration of non-small cell lung cancer: a step towards a rapid automated screening.

Autor:	Shabalina EY; Moscow Institute of Physics and Technology, Institutskiy Pereulok, Dolgoprudny, Russia., Skorova EY; Moscow Institute of Physics and Technology, Institutskiy Pereulok, Dolgoprudny, Russia., Chudakova DA; School of Biological Sciences, University of Auckland, Auckland, New Zealand., Anikin VB; Brunel University London, Uxbridge, United Kingdom.; First Moscow State Medical University, Moscow, Russia., Reshetov IV; Moscow Institute of Physics and Technology, Institutskiy Pereulok, Dolgoprudny, Russia.; First Moscow State Medical University, Moscow, Russia., Mynbaev OA; Moscow Institute of Physics and Technology, Institutskiy Pereulok, Dolgoprudny, Russia., Petersen EV; Moscow Institute of Physics and Technology, Institutskiy Pereulok, Dolgoprudny, Russia.
Jazyk:	angličtina
Zdroj:	Frontiers in molecular biosciences [Front Mol Biosci] 2021 Mar 25; Vol. 8, pp. 610407. Date of Electronic Publication: 2021 Mar 25 (Print Publication: 2021).
DOI:	10.3389/fmolb.2021.610407
Abstrakt:	In vitro 3D cell culture systems utilizing multicellular tumor spheroids (MCTS) are widely used in translational oncology, including for studying cell migration and in personalized therapy. However, early stages of cellular migration from MCTS and cross-talk between spheroids are overlooked, which was addressed in the current study. Here, we investigated cell migration from MCTS derived from human non-small cell lung cancer (NSCLC) cell line A549 cultured on different substrates, collagen gel or plastic, at different time points. We found that migration starts at 4-16 h time points after the seeding and its speed is substrate-dependent. We also demonstrated that co-culture of two NSCLC-derived MCTS on collagen gel, but not on plastic, facilitates cell migration compared with single MTCS. This finding should be considered when designing MCTS-based functional assays for personalized therapeutic approach and drug screenings. Overall, our work characterizes the in vitro 3D cell culture model resembling NSCLC cell migration from the clusters of CTCs into surgical wound, and describes microscopy-based tools and approaches for image data analysis with a potential for further automation. These tools and approaches also might be used to predict patterns of CTCs migration based on ex vivo analysis of patient biopsy in a 3D culture system. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Shabalina, Skorova, Chudakova, Anikin, Reshetov, Mynbaev and Petersen.)
Databáze:	MEDLINE
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