Fibril bending stiffness of 3D collagen matrices instructs spreading and clustering of invasive and non-invasive breast cancer cells

Sapudom, Jiranuwat; Kalbitzer, Liv; Wu, Xiancheng; Martin, Steve; Kroy, Klaus; Pompe, Tilo

doi:10.1016/j.biomaterials.2018.12.010

Cited by 66 publications

(66 citation statements)

References 63 publications

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“…Among five collagen parameters (alignment, density, width, length, and straightness), increased collagen width is the most powerful parameter for predicting cancer prognosis [175]. The elasticity of the collagen matrix is controlled by fibril bending stiffness rather than by fibril diameter or intrafibrillar crosslinking [176]. Increased collagen fiber alignment, elevated levels of immunoreactive glycosaminoglycans such as heparan sulfate and chondroitin sulfate, and decreased levels of the proteoglycan decorin enhance the stiffness of carcinoma tissues [177].…”

Section: Subtype Of Mmps Associated Collagen Pathological Functions Omentioning

confidence: 99%

The role of collagen in cancer: from bench to bedside

et al. 2019

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Collagen is the major component of the tumor microenvironment and participates in cancer fibrosis. Collagen biosynthesis can be regulated by cancer cells through mutated genes, transcription factors, signaling pathways and receptors; furthermore, collagen can influence tumor cell behavior through integrins, discoidin domain receptors, tyrosine kinase receptors, and some signaling pathways. Exosomes and microRNAs are closely associated with collagen in cancer. Hypoxia, which is common in collagen-rich conditions, intensifies cancer progression, and other substances in the extracellular matrix, such as fibronectin, hyaluronic acid, laminin, and matrix metalloproteinases, interact with collagen to influence cancer cell activity. Macrophages, lymphocytes, and fibroblasts play a role with collagen in cancer immunity and progression. Microscopic changes in collagen content within cancer cells and matrix cells and in other molecules ultimately contribute to the mutual feedback loop that influences prognosis, recurrence, and resistance in cancer. Nanoparticles, nanoplatforms, and nanoenzymes exhibit the expected gratifying properties. The pathophysiological functions of collagen in diverse cancers illustrate the dual roles of collagen and provide promising therapeutic options that can be readily translated from bench to bedside. The emerging understanding of the structural properties and functions of collagen in cancer will guide the development of new strategies for anticancer therapy.

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Section: Subtype Of Mmps Associated Collagen Pathological Functions Omentioning

confidence: 99%

The role of collagen in cancer: from bench to bedside

et al. 2019

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“…To reconstitution of collagen matrices, rat-tail type I collagen (Corning, NY, USA) was mixed with 250 mM phosphate buffer at pH 7.5, as previously reported. 37,38 The collagen fibrillation was introduced by incubation at 37°C and 95% humidity. After 5 days of cultivation, cells were lysed with double-distilled water for 1 h at room temperature.…”

Section: Induction and Characterization Of Has2-kd Fibroblastsmentioning

confidence: 99%

“…Rat-tail type I collagen (Corning, USA) was mixed with 250 mM phosphate buffer at pH 7.5 to archive collagen concentration of 2 mg ml −1 , as previously reported. 37,38 Matrices were fibrillated by incubation at 37°C and 95% humidity. HA with a molecular weight of 34 kDa (low molecular weight HA, LMW-HA) and 1170 kDa (HMW-HA) were prepared in 100 mM MES buffer at pH 5.…”

Section: Reconstitution Of Defined Ha-immobilized Collagen Matrices (mentioning

confidence: 99%

“…Mechanical properties of full skin sample cross sections and reconstituted cell-free matrices were quantified by colloidal probe force spectroscopy using a scanning force microscope (NanoWizard 3, JPK Instruments, Berlin, Germany), as previously reported. 37,38 Briefly, a 50 μm glass microbead (Polyscience Europe GmbH, Eppelheim, Germany) was attached to a tipless HQ-CSC38 cantilever (NanoAndMore, Wetzlar, Germany) with a spring constant of approximately 0. 100 × 100 µm at 3 positions of each sample from 3 independent tumor samples with indentation rate of 5 μm s −1 in PBS buffer (Biochrom) at room temperature.…”

Section: Mechanical Characterization Of Full Skin Tissue and Reconstimentioning

confidence: 99%

“…36 We have previously demonstrated that changing physical properties of a three-dimensional (3D) collagen biomimetic matrix can influence tumor cells' behavior, while the chemical composition of the model matrix remained unchanged. 37,38 Such findings resulted in the awareness that more complex 3D culture models are essential in order to receive data better resembling the in vivo situation than the commonly used 2D cultures on tissue culture plastics. 36,39,40 In order to investigate the impact of stromal HA on the physico-chemical properties of the stroma and on tumor cells facing this defined matrix, we combined model systems of graded complexity and in vitro experiments using stromal mouse fibroblasts with strongly decreased HA-synthesis due to genetic knockdown of the main HA synthase 2 (Has2).…”

Section: Introductionmentioning

confidence: 99%

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Biomimetic tissue models reveal the role of hyaluronan in melanoma proliferation and invasion

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3D Scaffold‐Based Macrophage Fibroblast Coculture Model Reveals IL‐10 Dependence of Wound Resolution Phase

et al. 2019

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Persistent inflammation and impaired repair in dermal wound healing are frequently associated with cell–cell and cell–matrix miscommunication. A direct coculture model of primary human myofibroblasts (MyoFB) and M‐CSF‐differentiated macrophages (M‐Mɸ) in fibrillar three‐dimensional Collagen I (Coll I) matrices is developed to study intercellular interactions. The coculture experiments reveal the number of M‐Mɸ regulated MyoFB dedifferentiation in a dose‐dependent manner. The amount of MyoFB decreases in dependence of the number of cocultured M‐Mɸ, even in the presence of MyoFB‐inducing transforming growth factor β1 (TGF‐β1). Gene expression analysis of matrix proteins (collagen I, collagen III, ED‐A‐fibronectin) confirms the results of an altered MyoFB phenotype. Additionally, M‐Mɸ is shown to be the main source of secreted cytokine interleukin‐10 (IL‐10), which is suggested to affect MyoFB dedifferentiation. These findings indicate a paracrine impact of IL‐10 secretion by M‐Mɸ on the MyoFB differentiation status counteracting the TGF‐β1‐driven MyoFB activation. Hence, the in vitro coculture model simulates physiological situations during wound resolution and underlines the importance of paracrine IL‐10 signals by M‐Mɸ. In sum, the 3D Coll I‐based matrices with a MyoFB–M‐Mɸ coculture form a highly relevant biomimetic model of late stages of wound healing.

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Fibril bending stiffness of 3D collagen matrices instructs spreading and clustering of invasive and non-invasive breast cancer cells

Cited by 66 publications

References 63 publications

The role of collagen in cancer: from bench to bedside

The role of collagen in cancer: from bench to bedside

Biomimetic tissue models reveal the role of hyaluronan in melanoma proliferation and invasion

3D Scaffold‐Based Macrophage Fibroblast Coculture Model Reveals IL‐10 Dependence of Wound Resolution Phase

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