A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts
Three-dimensional (3D) biomaterials with physiologically relevant and experimentally tractable biomechanical features are important platforms to advance our understanding of the influence of tissue mechanics in disease progression. Herein, an interpenetrating network (IPN) of collagen and alginate 3...
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sg-ntu-dr.10356-1602102022-07-15T06:35:02Z A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts Cao, Huan Cheng, Hong Sheng Wang, Jun Kit Tan, Nguan Soon Tay, Chor Yong School of Materials Science and Engineering Lee Kong Chian School of Medicine (LKCMedicine) School of Biological Sciences Engineering::Materials Interpenetrating Network Hydrogel Cancer-Associated Fibroblasts Three-dimensional (3D) biomaterials with physiologically relevant and experimentally tractable biomechanical features are important platforms to advance our understanding of the influence of tissue mechanics in disease progression. Herein, an interpenetrating network (IPN) of collagen and alginate 3D culture system with tunable extracellular microstructure and mechanics is exploited as a tumor stroma proxy to study phenotypic plasticity of colorectal cancer-associated fibroblasts (CAF). In combination with Next Generation Sequencing (NGS) data analysis, we demonstrated that tuning the storage modulus of the IPN hydrogel between 49 and 419 Pa can trigger a reversible switch between an inflammatory (i-state, α-SMAlowIL-6high) and myofibroblastic (m-state, α-SMAhighIL-6low) state in CAF that is dependent on the polymer network confinement effect and ROS-HIF1-α mechanotransduction signaling axis. Secretome from m-state CAF upregulated several epithelial-mesenchymal-transition (EMT) transcripts and induced robust scattering in DLD-1, HCT116, and SW480 human colorectal adenocarcinoma, while the EMT-inducing capacity is muted in i-state CAF, suggestive of an anti-tumorigenic role. Our findings were further validated through Gene Expression Profiling Interactive Analysis (GEPIA), which showed that cytokines secreted at higher levels by i-state CAF are correlated (p < 0.05) with good overall colorectal cancer patient survival. Therefore, 3D network density and spatial cellular confinement are critical biophysical determinants that can profoundly influence CAF states, paracrine signaling, and EMT-inducing potential. Ministry of Education (MOE) The authors gratefully acknowledge support by the MOE AcRF Tier 1 (R51/16) to C.Y.T and N.S.T 2022-07-15T06:35:02Z 2022-07-15T06:35:02Z 2021 Journal Article Cao, H., Cheng, H. S., Wang, J. K., Tan, N. S. & Tay, C. Y. (2021). A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts. Acta Biomaterialia, 132, 448-460. https://dx.doi.org/10.1016/j.actbio.2021.03.037 1742-7061 https://hdl.handle.net/10356/160210 10.1016/j.actbio.2021.03.037 33766799 2-s2.0-85103725841 132 448 460 en R51/16 Acta Biomaterialia © 2021 Published by Elsevier Ltd on behalf of Acta Materialia Inc. All rights reserved. |
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Engineering::Materials Interpenetrating Network Hydrogel Cancer-Associated Fibroblasts Cao, Huan Cheng, Hong Sheng Wang, Jun Kit Tan, Nguan Soon Tay, Chor Yong A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
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Three-dimensional (3D) biomaterials with physiologically relevant and experimentally tractable biomechanical features are important platforms to advance our understanding of the influence of tissue mechanics in disease progression. Herein, an interpenetrating network (IPN) of collagen and alginate 3D culture system with tunable extracellular microstructure and mechanics is exploited as a tumor stroma proxy to study phenotypic plasticity of colorectal cancer-associated fibroblasts (CAF). In combination with Next Generation Sequencing (NGS) data analysis, we demonstrated that tuning the storage modulus of the IPN hydrogel between 49 and 419 Pa can trigger a reversible switch between an inflammatory (i-state, α-SMAlowIL-6high) and myofibroblastic (m-state, α-SMAhighIL-6low) state in CAF that is dependent on the polymer network confinement effect and ROS-HIF1-α mechanotransduction signaling axis. Secretome from m-state CAF upregulated several epithelial-mesenchymal-transition (EMT) transcripts and induced robust scattering in DLD-1, HCT116, and SW480 human colorectal adenocarcinoma, while the EMT-inducing capacity is muted in i-state CAF, suggestive of an anti-tumorigenic role. Our findings were further validated through Gene Expression Profiling Interactive Analysis (GEPIA), which showed that cytokines secreted at higher levels by i-state CAF are correlated (p < 0.05) with good overall colorectal cancer patient survival. Therefore, 3D network density and spatial cellular confinement are critical biophysical determinants that can profoundly influence CAF states, paracrine signaling, and EMT-inducing potential. |
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School of Materials Science and Engineering |
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School of Materials Science and Engineering Cao, Huan Cheng, Hong Sheng Wang, Jun Kit Tan, Nguan Soon Tay, Chor Yong |
format |
Article |
author |
Cao, Huan Cheng, Hong Sheng Wang, Jun Kit Tan, Nguan Soon Tay, Chor Yong |
author_sort |
Cao, Huan |
title |
A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
title_short |
A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
title_full |
A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
title_fullStr |
A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
title_full_unstemmed |
A 3D physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
title_sort |
3d physio-mimetic interpenetrating network-based platform to decode the pro and anti-tumorigenic properties of cancer-associated fibroblasts |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/160210 |
_version_ |
1738844835006119936 |