Abstract

Abstract Different types of cancer cells exhibit varying levels of invasiveness, migration behavior and ability to resume growth at distant sites. In order to classify cell lines for these fundamentally important traits of metastasis, we sought to generate an image-based in vitro assay that quantifies morphological and functional features of cancer cell plasticity. We developed an Imaging-Based Pipeline as an R Package for in vitro cell monitoring using the breast cancer cell lines MDA-MB-231 and MCF-7 that represent high-metastatic and low-metastatic cells in vivo, respectively, to identify relevant feature variables. Live cell imaging via the zenCELL owl system captured images for labeling and segmentation. Pre-trained neural network models from Cellpose, combined with user-calibrations, accurately segmented cells for tracking. The tracking pipeline calculated similarity coefficients, Jaccard index, between consecutive frames for cell trajectory analysis. Geometric and morphological features, speed, and distance measurements were derived for assessing structural motility and proliferation-associated changes. The analysis of two cell line models revealed significant variations in morphological changes, with MDA-MB-231 showing more rapid changes between round and elongated shape compared to MCF-7 cells. Moreover, the analysis of cell motility, consistent with the morphological changes, revealed that TGF-beta1 induced migration in MDA-MB-231 cells much stronger than in MCF-7 cells. Likewise, differences in proliferation induction upon addition of growth factor was monitored, showing that MCF-7 cells are more responsive to the growth stimulation than MDA-MB-231 cells. Consequently, the morphological plasticity of cancer cells, closely linked to the epithelial-to-mesenchymal transition (EMT) state, emerges as a defining factor for the in vitro plasticity of these cells. Quantified proliferation rate and migration speed of the cells was then used to establish an in vitro "plasticity index" that captures a cell line’s ability to switch between migration and proliferation. This index will undergo validation using cell lines with well-established metastatic propensities. In conclusion, we developed an Imaging-Based Pipeline that can effectively explore cancer cell plasticity in vitro and monitor the impact of genetic or pharmacologic perturbations on this critical characteristic of aggressive cancer cells. Citation Format: Saba Sameri, Durdam Das, Stefanie Michaelis, Joachim Wegener, Hedayatollah Hosseini, Martin Hoffmann. In vitro plasticity profiling of metastatic cancer cells with an imaging-based pipeline [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5412.

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