3D Cell-Matrix Mechanical Interaction Models for Cancer Invasion and Drug Evaluation

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Authors: Xinyu Jin, Jing Jiao, Qian Cheng, Bingqi Ning, Zimeng zhang, Haoxiang Zhang, Liang Qiu, Ran Zhang, Susana Rocha, Hao Wang, Chao Fang, Chengfen Xing
+1 more Hongbo Yuan
Cited by: 0
References: 51

Abstract

Abstract Cancer cells breach the extracellular matrix (ECM) using both protease-driven degradation and force-driven physical remodeling, yet most anti-metastatic drug screens still rely on biochemical assays that overlook cell–matrix mechanical reciprocity. Here, we present a fully synthetic 3D invasion platform based on cellular force-responsive polyisocyanide (PIC) hydrogels that isolates biophysical invasion mechanisms. Cell-generated forces align and densify the PIC fibrous network, reproducing hallmark matrix remodeling seen in the tumor microenvironment. A constitutive model, parameterized by the critical stress for strain stiffening effect, links matrix nonlinear elasticity to pericellular stiffening, long-range mechanotransmission, and intercellular coupling. Using this system, we show that breast cancer cells invade by pulling and pushing the network even when matrix metalloproteinases are inhibited, revealing a physical bypass of protease blockade. Accordingly, broad-spectrum metalloproteinase inhibitors that suppress invasion in Matrigel fail to inhibit invasion here, exposing a limitation of current drug-evaluation pipelines. In co-culture, cancer-associated fibroblasts markedly accelerate invasion by generating aligned fiber tracks through higher contractility, implicating CAF-driven mechanical remodeling as a key route for breaching barriers during metastasis. The platform is thermoresponsive, compatible with standard Transwell formats, enables direct imaging of fiber architecture and invasion fronts, and decouples biophysical from biochemical cues for mechanism-aware, animal-free assessment of anti-metastatic therapies.

Fields of Study & Subjects

Cellular Mechanics and Interactions Hydrogels: synthesis properties applications 3D Printing in Biomedical Research

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
4 February 2026
Document type
Preprint