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      Cell swelling, softening and invasion in a three-dimensional breast cancer model

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          Abstract

          Sculpting of structure and function of three-dimensional multicellular tissues depend critically on the spatial and temporal coordination of cellular physical properties, yet the organizational principles that govern these events, and their disruption in disease, remain poorly understood. Using a multicellular mammary cancer organoid model, here we map in three dimensions the spatial and temporal evolution of positions, motions, and physical characteristics of individual cells. Compared with cells in the organoid core, cells at the organoid periphery and the invasive front are found to be systematically softer, larger and more dynamic. These mechanical changes are shown to arise from supracellular fluid flow through gap junctions, suppression of which delays transition to an invasive phenotype. Together, these findings highlight the role of spatiotemporal coordination of cellular physical properties in tissue organization and disease progression.

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          Most cited references38

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          Tensional homeostasis and the malignant phenotype.

          Tumors are stiffer than normal tissue, and tumors have altered integrins. Because integrins are mechanotransducers that regulate cell fate, we asked whether tissue stiffness could promote malignant behavior by modulating integrins. We found that tumors are rigid because they have a stiff stroma and elevated Rho-dependent cytoskeletal tension that drives focal adhesions, disrupts adherens junctions, perturbs tissue polarity, enhances growth, and hinders lumen formation. Matrix stiffness perturbs epithelial morphogenesis by clustering integrins to enhance ERK activation and increase ROCK-generated contractility and focal adhesions. Contractile, EGF-transformed epithelia with elevated ERK and Rho activity could be phenotypically reverted to tissues lacking focal adhesions if Rho-generated contractility or ERK activity was decreased. Thus, ERK and Rho constitute part of an integrated mechanoregulatory circuit linking matrix stiffness to cytoskeletal tension through integrins to regulate tissue phenotype.
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            Human breast cancer invasion and aggression correlates with ECM stiffening and immune cell infiltration.

            Tumors are stiff and data suggest that the extracellular matrix stiffening that correlates with experimental mammary malignancy drives tumor invasion and metastasis. Nevertheless, the relationship between tissue and extracellular matrix stiffness and human breast cancer progression and aggression remains unclear. We undertook a biophysical and biochemical assessment of stromal-epithelial interactions in noninvasive, invasive and normal adjacent human breast tissue and in breast cancers of increasingly aggressive subtype. Our analysis revealed that human breast cancer transformation is accompanied by an incremental increase in collagen deposition and a progressive linearization and thickening of interstitial collagen. The linearization of collagen was visualized as an overall increase in tissue birefringence and was most striking at the invasive front of the tumor where the stiffness of the stroma and cellular mechanosignaling were the highest. Amongst breast cancer subtypes we found that the stroma at the invasive region of the more aggressive Basal-like and Her2 tumor subtypes was the most heterogeneous and the stiffest when compared to the less aggressive luminal A and B subtypes. Intriguingly, we quantified the greatest number of infiltrating macrophages and the highest level of TGF beta signaling within the cells at the invasive front. We also established that stroma stiffness and the level of cellular TGF beta signaling positively correlated with each other and with the number of infiltrating tumor-activated macrophages, which was highest in the more aggressive tumor subtypes. These findings indicate that human breast cancer progression and aggression, collagen linearization and stromal stiffening are linked and implicate tissue inflammation and TGF beta.
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              Modelling glandular epithelial cancers in three-dimensional cultures.

              Little is known about how the genotypic and molecular abnormalities associated with epithelial cancers actually contribute to the histological phenotypes observed in tumours in vivo. 3D epithelial culture systems are a valuable tool for modelling cancer genes and pathways in a structurally appropriate context. Here, we review the important features of epithelial structures grown in 3D basement membrane cultures, and how such models have been used to investigate the mechanisms associated with tumour initiation and progression.
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                Author and article information

                Journal
                101235387
                34285
                Nat Phys
                Nat Phys
                Nature physics
                1745-2473
                13 September 2019
                21 October 2019
                January 2020
                03 September 2020
                : 16
                : 1
                : 101-108
                Affiliations
                [1. ]Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
                [2. ]Department of Physics, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
                [3. ]Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, 02138, USA
                [4. ]School of Systems Science, Beijing Normal University, Beijing 100875, P.R. China
                [5. ]Key Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, P.R. China
                [6. ]Xuanwu Hospital, Capital Medical University, Beijing, 100053, P.R. China
                [7. ]Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
                Author notes

                Contributions

                Y.L.H. and M.G. designed the experiments; M.G. supervised the project; Y.L.H., H.L., Z.G., K.L., X.T., Y.Y., Y.L., W.T., and L.T. performed the experiments; Y.L.H., A.F.P., G.X., Z.G., J.S., Y.H. and S.K.G. developed MATLAB scripts for imaging processing and data analysis; Y.L.H., A.F.P., J.J.F. and M.G. wrote the manuscript. All authors edited and approved the manuscript.

                [* ] Correspondence: Ming Guo, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Phone: +1 (617) 324-0136, guom@ 123456mit.edu
                Article
                NIHMS1539128
                10.1038/s41567-019-0680-8
                7469976
                32905405
                fa326a54-d859-4c42-8455-06e4704e5930

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                Physics

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