Spatial collagen stiffening promotes collective breast cancer cell invasion by reinforcing extracellular matrix alignment
Koorman, Thijs; Jansen, Karin A; Khalil, Antoine; Haughton, Peter D; Visser, Daan; Rätze, Max A K; Haakma, Wisse E; Sakalauskaitè, Gabrielè; van Diest, Paul J; de Rooij, Johan; Derksen, Patrick W B
(2022) Oncogene, volume 41, issue 17, pp. 2458 - 2469
(Article)
Abstract
The tumor micro-environment often contains stiff and irregular-bundled collagen fibers that are used by tumor cells to disseminate. It is still unclear how and to what extent, extracellular matrix (ECM) stiffness versus ECM bundle size and alignment dictate cancer cell invasion. Here, we have uncoupled Collagen-I bundling from stiffness by
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introducing inter-collagen crosslinks, combined with temperature induced aggregation of collagen bundling. Using organotypic models from mouse invasive ductal and invasive lobular breast cancers, we show that increased collagen bundling in 3D induces a generic increase in breast cancer invasion that is independent of migration mode. However, systemic collagen stiffening using advanced glycation end product (AGE) crosslinking prevents collective invasion, while leaving single cell invasion unaffected. Collective invasion into collagen matrices by ductal breast cancer cells depends on Lysyl oxidase-like 3 (Loxl3), a factor produced by tumor cells that reinforces local collagen stiffness. Finally, we present clinical evidence that collectively invading cancer cells at the invasive front of ductal breast carcinoma upregulate LOXL3. By uncoupling the mechanical, chemical, and structural cues that control invasion of breast cancer in three dimensions, our data reveal that spatial control over stiffness and bundling underlie collective dissemination of ductal-type breast cancers.
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Keywords: Genetics, Molecular Biology, Cancer Research, Journal Article
ISSN: 0950-9232
Publisher: Nature Publishing Group
Note: Funding Information: The authors thank Tina Vermonden and Mies van Steenbergen for help with and use of the rheometer, and Holger Rehmann and Richard van Schaik for purifying the GFP-CNA35 probe. We are indebted to Federica Burla for sharing the pore size determining program in Python, and Nico Jansen for help with rewriting the collagen alignment program to an ImageJ plugin. Lilian Sluimer and Jeroen Vermeulen are thanked for their help on quality control and statistics of the clinical datasets, and the Tissue Facility (Pathology Department UMCU) for immunohistochemistry on tissue sections. We are also grateful to Nalan Liv and Tineke Veenendaal for electron microscopy. We thank Jacco van Rheenen for the parental PyMT organoids and Martijn Gloerich for comments and conceptual input. This work was financially supported by grants from The Netherlands Organization for Scientific Research (NWO-TOP 02007), Dutch Cancer Society grants (KWF-2017-10456), and the European Union’s Horizon 2020 FET Proactive program under the grant agreement No. 731957 (MECHANO-CONTROL). This article is also based upon work from COST Action (CA19138), supported by COST (European Cooperation in Science and Technology). Funding Information: The authors thank Tina Vermonden and Mies van Steenbergen for help with and use of the rheometer, and Holger Rehmann and Richard van Schaik for purifying the GFP-CNA35 probe. We are indebted to Federica Burla for sharing the pore size determining program in Python, and Nico Jansen for help with rewriting the collagen alignment program to an ImageJ plugin. Lilian Sluimer and Jeroen Vermeulen are thanked for their help on quality control and statistics of the clinical datasets, and the Tissue Facility (Pathology Department UMCU) for immunohistochemistry on tissue sections. We are also grateful to Nalan Liv and Tineke Veenendaal for electron microscopy. We thank Jacco van Rheenen for the parental PyMT organoids and Martijn Gloerich for comments and conceptual input. This work was financially supported by grants from The Netherlands Organization for Scientific Research (NWO-TOP 02007), Dutch Cancer Society grants (KWF-2017-10456), and the European Union?s Horizon 2020 FET Proactive program under the grant agreement No. 731957 (MECHANO-CONTROL). This article is also based upon work from COST Action (CA19138), supported by COST (European Cooperation in Science and Technology). Publisher Copyright: © 2022, The Author(s).
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