High-throughput microscopy reveals the impact of multifactorial environmental perturbations on colorectal cancer cell growth

The Mechanical and Biological Performance of Photopolymerized Gelatin-Based Hydrogels as a Function of the Reaction Media

From the first experiments with biomaterials to mimic tissue properties, the mechanical and biochemical characterization has evolved extensively. Several properties can be described, however, what should be essential is to conduct a proper and physiologically relevant characterization. Herein, the influence of the reaction media (RM) and swelling media (SM)-phosphate buffered saline (PBS) and Dulbecco's modified Eagle's medium (DMEM) with two different glucose concentrations-is described in gelatin methacrylamide (GelMA) hydrogel mechanics and in the biological behavior of two tumoral cell lines (Caco-2 and HCT-116). All scaffolds are UV-photocrosslinked under identical conditions and evaluated for mass swelling ratio and stiffness. The results indicate that stiffness is highly susceptible to the RM, but not to the SM. Additionally, PBS-prepared hydrogels exhibited a higher photopolymerization degree according to high resolution magic-angle spinning (HR-MAS) NMR. These findings correlate with the biological response of Caco-2 and HCT-116 cells seeded on the substrates, which demonstrated flatter morphologies on stiffer hydrogels. Overall, cell viability and proliferation are excellent for both cell lines, and Caco-2 cells displayed a characteristic apical-basal polarization based on F-actin/Nuclei fluorescence images. These characterization experiments highlight the importance of conducting mechanical testing of biomaterials in the same medium as cell culture.

Therapeutic role of 2-stearoxyphenethyl phosphocholine targeting microtubule dynamics and Wnt/β-catenin/EMT signaling in human colorectal cancer cells

The inhibition of cell death, perturbation of microtubule dynamics, and acceleration of Wnt/β-catenin/epithelial-mesenchymal transition (EMT) signaling are fundamental processes in the progression and metastasis of colorectal cancer (CRC). To explore the role of 2-stearoxyphenethyl phosphocholine (stPEPC), an alkylphospholipid-based compound, in CRC, we conducted an MTT assay, cell cycle analysis, western blot analysis, immunoprecipitation, immunofluorescence staining, Annexin V/propidium iodide double staining, small interfering RNA gene silencing, a wound-healing assay, an invasion assay, and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay in the human CRC cell lines HT29 and HCT116. stPEPC showed anti-proliferative properties and mitotic cell accumulation via upregulated phosphorylation of BUBR1 and an association between mitotic arrest deficiency 2 (MAD2) and cell division cycle protein 20 homolog (CDC20). These results suggest that activation of the mitotic checkpoint complex and tubulin polymerization occurred, resulting in mitotic catastrophe in HT29 and HCT116 cells. In addition, stPEPC attenuated cell migration and invasion by regulating proteins mediated by EMT, such as E-cadherin and occludin. stPEPC altered the protein expression of Wnt3a and phosphorylation of low-density lipoprotein receptor-related protein 6 (LRP6), glycogen synthase kinase 3β (GSK3β), and β-catenin as well as their target genes, including cMyc and cyclin D1, in CRC cells. Thus, stPEPC may be useful for developing new drugs to treat human CRC.

Integration of quantitative methods and mathematical approaches for the modeling of cancer cell proliferation dynamics

Physiological processes rely on the control of cell proliferation, and the dysregulation of these processes underlies various pathological conditions, including cancer. Mathematical modeling can provide new insights into the complex regulation of cell proliferation dynamics. In this review, we first examine quantitative experimental approaches for measuring cell proliferation dynamics in vitro and compare the various types of data that can be obtained in these settings. We then explore the toolbox of common mathematical modeling frameworks that can describe cell behavior, dynamics, and interactions of proliferation. We discuss how these wet-laboratory studies may be integrated with different mathematical modeling approaches to aid the interpretation of the results and to enable the prediction of cell behaviors, specifically in the context of cancer.

High-throughput microscopy reveals the impact of multifactorial environmental perturbations on colorectal cancer cell growth

Background

Colorectal cancer (CRC) mortality is principally due to metastatic disease, with the most frequent organ of metastasis being the liver. Biochemical and mechanical factors residing in the tumor microenvironment are considered to play a pivotal role in metastatic growth and response to therapy. However, it is difficult to study the tumor microenvironment systematically owing to a lack of fully controlled model systems that can be investigated in rigorous detail.

Results

We present a quantitative imaging dataset of CRC cell growth dynamics influenced by in vivo–mimicking conditions. They consist of tumor cells grown in various biochemical and biomechanical microenvironmental contexts. These contexts include varying oxygen and drug concentrations, and growth on conventional stiff plastic, softer matrices, and bioengineered acellular liver extracellular matrix. Growth rate analyses under these conditions were performed via the cell phenotype digitizer (CellPD).

Conclusions

Our data indicate that the growth of highly aggressive HCT116 cells is affected by oxygen, substrate stiffness, and liver extracellular matrix. In addition, hypoxia has a protective effect against oxaliplatin-induced cytotoxicity on plastic and liver extracellular matrix. This expansive dataset of CRC cell growth measurements under in situ relevant environmental perturbations provides insights into critical tumor microenvironment features contributing to metastatic seeding and tumor growth. Such insights are essential to dynamical modeling and understanding the multicellular tumor-stroma dynamics that contribute to metastatic colonization. It also establishes a benchmark dataset for training and testing data-driven dynamical models of cancer cell lines and therapeutic response in a variety of microenvironmental conditions.