2020
DOI: 10.1016/j.ccell.2020.05.005
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Reduction of Liver Metastasis Stiffness Improves Response to Bevacizumab in Metastatic Colorectal Cancer

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Cited by 228 publications
(176 citation statements)
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“…Flow-independent biomechanical cues might also be elemental to the endothelial response during metastatic progression. It was recently demonstrated that stiffness reduction in liver metastasis induced a higher therapeutic response to bevacizumab (Shen et al, 2020), similarly to our observations pointing at a crosstalk between VEGFR-mediated endothelial response and external biomechanical cues. More work is needed to identify additional signaling pathways, and more specific molecules, to efficiently counteract this new mechanism of metastatic extravasation.…”
Section: R a F Tsupporting
confidence: 91%
“…Flow-independent biomechanical cues might also be elemental to the endothelial response during metastatic progression. It was recently demonstrated that stiffness reduction in liver metastasis induced a higher therapeutic response to bevacizumab (Shen et al, 2020), similarly to our observations pointing at a crosstalk between VEGFR-mediated endothelial response and external biomechanical cues. More work is needed to identify additional signaling pathways, and more specific molecules, to efficiently counteract this new mechanism of metastatic extravasation.…”
Section: R a F Tsupporting
confidence: 91%
“…A well-established concept is that a deposition and cross-linking of ECM components such as collagen 1 lead to increased matrix stiffness, which in turn reduces perfusion with antineoplastic agents. These mechanisms can be therapeutically addressed by molecules that target the renin–angiotensin system [ 18 , 73 , 74 ]. COL1A1 and COL1A2 were significantly overexpressed in MuEp and SaDu.…”
Section: Discussionmentioning
confidence: 99%
“…Overall, the modeling framework presented here provides a platform to explore the mechanobiological conditions that lead to metastatic seeding, dormancy, and growth in liver tissue [76,77]. Model explorations generate predictions (hypotheses) that we can presently assess qualitatively against known clinical and experimental observations.…”
Section: Discussionmentioning
confidence: 99%