The DOI matches its Crossref record; 134 of the 136 references it cites were found in a registry or an index.
Complex mechanics of the heterogeneous extracellular matrix in cancer
Open accessAbstract
The extracellular matrix (ECM) performs many critical functions, one of which is to provide structural and mechanical integrity, and many of the constituent proteins have clear mechanical roles. The composition and structural characteristics of the ECM are widely variable among different tissues, suiting diverse functional needs. In diseased tissues, particularly solid tumors, the ECM is complex and influences disease progression. Cancer and stromal cells can significantly influence the matrix composition and structure and thus the mechanical properties of the tumor microenvironment (TME). In this review, we describe the interactions that give rise to the structural heterogeneity of the ECM and present the techniques that are widely employed to measure ECM properties and remodeling dynamics. Furthermore, we review the tools for measuring the distinct nature of cell-ECM interactions within the TME.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The ability to exert local control over chemical and mechanical properties allows researchers to duplicate the heterogeneity in stiffness and composition found in organs, generate interfaces between materials similar to those found in the ECM, and duplicate essential elements of material microstructure; each of these controls has implications for organ function and disease131,132.”
From Towards organoid culture without Matrigel (2021) · cites this paper as [131]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Angiogenesis in cancer and other diseases
Carmeliet, P., & Jain, R. K. (2000) · Nature · doi:10.1038/35025220 · Cited by 9,070
Molecular Mechanisms of Stress-Responsive Changes in Collagen and Elastin Networks in Skin
Aziz, J., Shezali, H., Radzi, Z., Yahya, N. A., Abu Kassim, N. H., Czernuszka, J., & Rahman, M. T. (2016) · Skin Pharmacology and Physiology · doi:10.1159/000447017 · Cited by 7,323
Tissue Cells Feel and Respond to the Stiffness of Their Substrate
Discher, D. E., Janmey, P., & Wang, Y.-L. (2005) · Science · doi:10.1126/science.1116995 · Cited by 6,382
New functions for the matrix metalloproteinases in cancer progression
Egeblad, M., & Werb, Z. (2002) · Nature Reviews Cancer · doi:10.1038/nrc745 · Cited by 6,108
Matrix Metalloproteinases: Regulators of the Tumor Microenvironment
Kessenbrock, K., Plaks, V., & Werb, Z. (2010) · Cell · doi:10.1016/j.cell.2010.03.015 · Cited by 5,151
Alberts, B., Johnson, A. D., Lewis, J. H., RAFF, M. C., Roberts, K. J., & Walter, P. (2007) · W.W. Norton eBooks · doi:10.1201/9780203833445 · Cited by 4,591
Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling
Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., Csiszar, K., Giaccia, A., Weninger, W., et al. (2009) · Cell · doi:10.1016/j.cell.2009.10.027 · Cited by 4,101
Tensional homeostasis and the malignant phenotype
Paszek, M. J., Zahir, N., Johnson, K. R., Lakins, J. N., Rozenberg, G. I., Gefen, A., Reinhart-King, C. A., Margulies, S. S., Dembo, M., Boettiger, D., et al. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.08.010 · Cited by 3,941
Evidence for the Formation of Symmetric and Asymmetric DLPC-DAPC Lipid Bilayer Domains
Ritter, M., Schmidt, S., Jakab, M., Paulmichl, M., & Henderson, R. M. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350122 · Cited by 3,923
Tumour-cell invasion and migration: diversity and escape mechanisms
Friedl, P., & Wolf, K. (2003) · Nature reviews. Cancer · doi:10.1038/nrc1075 · Cited by 3,350
Cited by
Sorted by citations
Items 101–190 of 190
Microfluidic Templating of Spatially Inhomogeneous Protein Microgels
Xu, Y., Jacquat, R. P. B., Shen, Y., Vigolo, D., Morse, D. B., Zhang, S., & Knowles, T. P. J. (2020) · Small · doi:10.1002/smll.202000432 · Cited by 13
Organoids as Complex In Vitro Models for Studying Radiation-Induced Cell Recruitment
Hacker, B. C., & Rafat, M. (2020) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-020-00625-0 · Cited by 15
O’Dowling, A. T., Rodriguez, B. J., Gallagher, T. K., & Thorpe, S. D. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.10.006 · Cited by 12
Kandil, K., Zaïri, F., Messager, T., & Zaïri, F. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105890 · Cited by 12
Nanomechanical Hallmarks of Helicobacter pylori Infection in Pediatric Patients
Deptuła, P., Suprewicz, Ł., Daniluk, T., Namiot, A., Chmielewska, S. J., Daniluk, U., Lebensztejn, D. M., & Bucki, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115624 · Cited by 12
Enhanced cancer cell invasion caused by fibroblasts when fluid flow is present
Urdal, J., Waldeland, J. O., & Evje, S. (2019) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-019-01128-2 · Cited by 11
Stromal cells regulate mechanics of tumour spheroid
Agrawal, A., Lasli, S., Javanmardi, Y., Coursier, D., Micalet, A., Watson, S. A., Shahreza, S., Serwinski, B., Djordjevic, B., Szita, N., et al. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100821 · Cited by 11
Self-citationJagiełło, A., Lim, M., & Botvinick, E. L. (2020) · APL Bioengineering · doi:10.1063/5.0021030 · Cited by 11
A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
Burkel, B. M., Inman, D. R., Virumbrales-Muñoz, M., Hoffmann, E. J., & Ponik, S. M. (2022) · Journal of Visualized Experiments · doi:10.3791/63413 · Cited by 10
Yoshino, D., & Funamoto, K. (2019) · AIP Advances · doi:10.1063/1.5089772 · Cited by 10
Li, H., Liu, F., Wang, X., Li, M., Li, Z., Xie, Y., & Guo, Y. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.748867 · Cited by 10
Miron-Mendoza, M., Vazquez, D., García-Rámila, N., Petroll, W. M., & Ikebe, H. R. (2020) · Bioengineering · doi:10.3390/bioengineering7030089 · Cited by 10
Yao, J., Li, G., Jiao, Y., Zheng, Y., Liu, Y., Wang, G., Zhou, L., Zhang, H., Zhang, X., Shuai, J., et al. (2021) · Lab on a Chip · doi:10.1039/d0lc00951b · Cited by 10
Banerjee, A., Khan, M. P., Barui, A., Datta, P., Chowdhury, A. R., & Bhowmik, K. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-021-02453-4 · Cited by 10
Pisonero, J., Calon, A., Linares, J., Méndez-Vicente, A., Nistal, A. M., & Bordel, N. (2024) · Optics & Laser Technology · doi:10.1016/j.optlastec.2024.111527 · Cited by 9
Impact of the ECM on the Mechanical Memory of Cancer Cells
Mierke, C. T. (2025) · Cells · doi:10.3390/cells14211707 · Cited by 10
A lesson from earthquake engineering for selectively damaging cancer cell structures
Fraldi, M., Cutolo, A., Carotenuto, A. R., Palumbo, S., & Pugno, N. M. (2021) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2021.104533 · Cited by 9
Biomaterial-based platforms for cancer stem cell enrichment and study
Luo, C., Ding, Z. J., Tu, Y., Tan, J., Luo, Q., & Song, G. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0420 · Cited by 9
Zheng, X., Zhao, K., Jackson, T. L., & Lowengrub, J. S. (2022) · Journal of Mathematical Biology · doi:10.1007/s00285-022-01759-7 · Cited by 8
Li, L., Sun, B., & Sun, Y. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.998417 · Cited by 8
Gommes, C., Louis, T., Bourgot, I., Noël, A., Blacher, S., & Maquoi, E. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.988502 · Cited by 8
Matossian, M. D., Giardina, A. A., Wright, M. K., Elliott, S. G., Loch, M. M., Nguyen, K., Zea, A. H., Lau, F. H., Moroz, K., Riker, A. I., et al. (2020) · Women s Health Reports · doi:10.1089/whr.2020.0037 · Cited by 9
Ji, Q., Zhu, M., Li, X., CHENG, W. ‐., & Fang, Z. (2025) · Nanoscale · doi:10.1039/d5nr00964b · Cited by 7
Deng, Z., Guo, T., Bi, J., Wang, G., Hu, Y., Du, H., Zhou, Y., Jia, S., Xing, X., & Ji, J. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04473-0 · Cited by 7
Xiong, S., Li, S., Zeng, J., Nie, J., Liu, T., Liu, X., Chen, L., Fu, B., Deng, J., & Xu, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1253586 · Cited by 7
Fang, L., Shi, L., Wang, W., Chen, Q., & Rao, X. (2021) · Medicine · doi:10.1097/md.0000000000027257 · Cited by 8
Horvath, A. N., Holenstein, C. N., Silván, U., & Snedeker, J. G. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b12430 · Cited by 7
Hippo signaling in mechanobiology: Mechanical control of YAP/TAZ and their roles in disease
Kim, Y., Lee, H., Lee, J.-H., Kim, W., & Cha, B. (2026) · Mechanobiology · doi:10.1177/29780241261430920 · Cited by 7
Single Cell Micro-Pillar-Based Characterization of Endothelial and Fibroblast Cell Mechanics
Eckert, J., Abouleila, Y., Schmidt, T., & Mashaghi, A. (2021) · Micro · doi:10.3390/micro1020018 · Cited by 5
Application of cell laden hydrogels with temporally tunable stiffness in biomedical research
Ahmadiankia, N., Goli-Malekabadi, Z., & Pournaghmeh, S. (2023) · Journal of Biomaterials Applications · doi:10.1177/08853282231182491 · Cited by 5
Elastography mapped by deep convolutional neural networks
Liu, D., Kruggel, F., & Sun, L. (2021) · Science China Technological Sciences · doi:10.1007/s11431-020-1726-5 · Cited by 5
Farajpour, A., & Ingman, W. V. (2024) · Bioengineering · doi:10.3390/bioengineering11100991 · Cited by 4
Jang, L. K., Ahlquist, J., Ye, C., Trujillo, J., Triplett, M., Moya, M. L., Robertson, C., Hynes, W. F., & Wasson, E. M. (2024) · Biomedical Materials · doi:10.1088/1748-605x/ad8540 · Cited by 4
Zhang, W., Yue, S., Fang, H., Ma, D., Ge, T., Wang, L., Qian, P., Tang, L., Lin, T., Guo, H., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002534 · Cited by 4
Deep learning reveals how cells pull, buckle, and navigate fibrous environments
Padhi, A., Daw, A., Agashe, A., Sawhney, M., Talukder, M. M., Pour, M. M. H., Jafari, M., Genin, G. M., Alisafaei, F., Kale, S., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2424047122 · Cited by 4
Wise, J., Currie, M. J., Woodfield, T. B. F., Lim, K. S., & Phillips, E. (2026) · Biology Open · doi:10.1242/bio.062212 · Cited by 5
Integration of Matrisome Omics: Towards System Biology of the Tumor Matrisome
Izzi, V., Koivunen, J. T., Rappu, P., Heino, J., & Pihlajaniemi, T. A. (2020) · Biology of extracellular matrix · doi:10.1007/978-3-030-58330-9_7 · Cited by 5
Biomatrices that mimic the cancer extracellular environment
Amorim, S., Reis, R. L., & Pires, R. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818128-7.00004-6 · Cited by 4
Dawson, M., Xuan, B., Hsu, J., & Ghosh, D. (2020) · International review of cytology · doi:10.1016/bs.ircmb.2020.09.005 · Cited by 4
Wu, D., Guan, X., Yang, T., Yan, J., Zhu, B., Zhou, J., Guo, Y., & Lu, Y. (2025) · Materials Today Bio · doi:10.1016/j.mtbio.2025.102176 · Cited by 3
Nagle, I., Tavasso, M., Bordoloi, A., Muntz, I., Koenderink, G. H., & Boukany, P. E. (2025) · Acta Biomaterialia · doi:10.1016/j.actbio.2025.08.036 · Cited by 3
Nelluri, K. D. D., Lakshmi, K. C., Kommoju, M., Alaparthi, B., Kakani, A. K., Rohith, P. S., & Nirmala, N. V. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-11624-1 · Cited by 3
Narayanasamy, A., Karuppusamy, P. A., Gnanarajan, R., Ravichandran, N., Uvarajan, D., Iyer, M., Krishnan, J., Parkash, J., HariKrishnaReddy, D., Muniraj, A., et al. (2026) · Cell Biology International · doi:10.1002/cbin.70180 · Cited by 3
Why 3D in vitro cancer models are the future of cancer research?
Petrić, T., & Sabol, M. (2023) · Periodicum Biologorum · doi:10.18054/pb.v124i3-4.24697 · Cited by 3
Qi, C., Zhang, J., Smith, A., & Li, L. (2023) · Journal of Applied Physics · doi:10.1063/5.0144595 · Cited by 3
Stromal Barriers Within the Tumor Microenvironment and Obstacles to Nanomedicine
Tanaka, H. Y., & Kano, M. R. (2019) · Springer eBooks · doi:10.1007/978-4-431-56880-3_4 · Cited by 3
Viscoelastic phenotyping of meningiomas reveals biomechanical classes and intratumoral heterogeneity
Aunan‐Diop, J. S., Bonilla, J. C., Halle, B., Pedersen, C. B., Friismose, A. I., Mussmann, B. R., & Poulsen, F. R. (2025) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2025.107282 · Cited by 2
Targeting the Tumor Microenvironment to Overcome Resistance to Therapy
Qorri, B., & Szewczuk, M. R. (2019) · Resistance to targeted anti-cancer therapeutics · doi:10.1007/978-3-030-21477-7_2 · Cited by 2
Strain-dependent elastography of cancer cells reveals heterogeneity and stiffening due to attachment
Xu, W., Kabariti, S., Young, K. M., Swingle, S. P., Liu, A. Y., & Sulchek, T. (2023) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2023.111479 · Cited by 2
Quantifying the Influence of X-Ray Irradiation on Cell-Size-Scale Viscoelasticity of Collagen Type 1
Mäntylä, V. M., Lehtonen, A. J., Korhonen, V. O., Srbova, L., & Pokki, J. (2024) · Journal of Biomechanical Engineering · doi:10.1115/1.4064404 · Cited by 2
Flow-Induced Intermittent Transport Shapes Colloid Filtration in Complex Media
Miele, F., Bordoloi, A., de Anna, P., Dentz, M., Tabuteau, H., Morales, V. L., Das, P. K., & Hilgenfeldt, S. (2026) · Physical Review Letters · doi:10.1103/122c-f92l · Cited by 4
Surface Stiffness Has No Impact on MCF-7 Sensitivity to Doxorubicin
Šimoliūnas, E., Jasmontaitė, D., Skinderskis, A., Rinkūnaitė, I., Alksnė, M., Liudvinaitis, M., & Baltriukienė, D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241210192 · Cited by 2
Blood-brain barrier model on a microfluidic chip for the study of tumor cell extravasation
Hajal, C. (2018) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 2
Aunan‐Diop, J. S., Friismose, A. I., Yin, Z., Hojo, E., Petersen, J. K., Grønhøj, M. H., Pedersen, C. B., Mussmann, B. R., Halle, B., & Poulsen, F. R. (2026) · medRxiv · doi:10.64898/2026.03.04.26347674 · Cited by 2
Zhang, M. K., Wang, B., Li, S. Y., Liu, G., & Wang, Z. (2021) · BMC Cancer · doi:10.1186/s12885-021-09036-4 · Cited by 1
Metastasis Models: Thermodynamics and Complexity
Guerra, A., Betancourt-Mar, J. A., Llanos-Pérez, J. A., Mansilla, R., & Nieto-Villar, J. M. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3577-3_4 · Cited by 1
The Performance of MR Cytometry Imaging in Differentiating High‐ and Low‐Grade Bladder Cancer
Chen, L., Jin, C., Guo, E., Liu, F., Wang, Y., Zhu, J., Zhang, X., Zhang, J., Xu, Z., Bai, X., et al. (2026) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.70232 · Cited by 1
Kumar, A., Sharma, R., & Yadav, A. K. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115960 · Cited by 1
Elastography mapped by untangling compressional and shear deformation
Liu, D., & Sun, L. (2020) · Extreme Mechanics Letters · doi:10.1016/j.eml.2020.100669 · Cited by 1
Decellularized Matrix Hydrogels for In Vitro Disease Modeling
Ferreira, L. P., Monteiro, M. V., Gaspar, V. M., & Mano, J. F. (2021) · Royal Society of Chemistry eBooks · doi:10.1039/9781839161124-00626 · Cited by 1
Water–Air Interface to Mimic In Vitro Tumoral Cell Migration in Complex Micro-Environments
Conti, M., Bolzan, I., Zilio, S. D., Parisse, P., Andolfi, L., & Lazzarino, M. (2022) · Biosensors · doi:10.3390/bios12100822 · Cited by 1
A prognostic model for bladder cancer based on cytoskeleton-related genes
Peng, C., Guo, S., Yang, Z., Li, X., Su, Q., & Mo, W. (2023) · Medicine · doi:10.1097/md.0000000000033538 · Cited by 1
Resolving Filament Level Mechanics in Collagen Networks using Activity MicroscopyPreprint
Lissek, E. N., Bartsch, T. F., & Florin, E. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/382903 · Cited by 1
Design and Engineering of 3D Collagen-Fibronectin Scaffolds for Wound Healing and Cancer Research
Asadishekari, M. (2018) · uO Research (University of Ottawa) · doi:10.20381/ruor-22631 · Cited by 1
Computational Systems Mechanobiology of Tumor-Induced Angiogenesis
Mostofinejad, A. (2019) · UWSpace (University of Waterloo) · Cited by 1
Supramolecular Assemblies of Glycopeptides as Mimics of the Extracellular Matrix
da Costa, D. S., Brito, A., Reis, R. L., & Pashkuleva, I. (2022) · Wiley eBooks · doi:10.1002/9783527825820.ch7 · Cited by 1
Two-Photon Microscopy of Stroma ex vivo for the Express Diagnostics of Breast Cancer
Sergeeva, E. A., Kirillin, M., Dudenkova, V. V., Pavlov, M. V., Orlinskaya, N. Y., & Shakhova, N. M. (2019) · Современные технологии в медицине · doi:10.17691/stm2019.11.3.12
Phenotypic evolution of cancer cells: structural requirements for survival
Atrian, F., & Lelièvre, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102983-1.00002-8
Linked in: the extracellular matrix network in tumour dissemination
Leb‐Reichl, V., Guttmann‐Gruber, C., & Hofbauer, J. P. (2020) · British Journal of Dermatology · doi:10.1111/bjd.19617
Paradiso, F. (2022) · Cronfa (Swansea University) · doi:10.23889/suthesis.60122
A prognostic model for bladder cancer based on cytoskeleton-related genesPreprint
Peng, C., Guo, S., Yang, Z., Li, X., Su, Q., & Mo, W. (2022) · Research Square · doi:10.21203/rs.3.rs-1955240/v1
A prognostic model for bladder cancer based on cytoskeleton-related genesPreprint
Peng, C., Guo, S., Yang, Z., Li, X., Su, Q., & Mo, W. (2022) · Research Square · doi:10.21203/rs.3.rs-1955240/v2
Ebata, H., & Kidoaki, S. (2022) · Biophysics and Physicobiology · doi:10.2142/biophysico.bppb-v19.0036
Mimicking Mechanical Features of the Tumor Microenvironment
Mierke, C. T. (2022) · Royal Society of Chemistry eBooks · doi:10.1039/9781839166013-00060
Cho, W.-W., Park, W., Cho, D., & Yi, H. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-823536-2.00003-1
Characterizing the extracellular matrix for regulating cell behaviors by atomic force microscopy
Li, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95360-3.00002-2
Kahl, M. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.242772
Progress of the Study on Type III Collagen in Breast Cancer
刘, 潇. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1441294
Micromechanobiology: A micromechanics approach to mechanobiology
Onck, P. R., & der Giessen, E. V. (2025) · European Journal of Mechanics - A/Solids · doi:10.1016/j.euromechsol.2025.105893
Deng, C., Shen, D., Li, M., Zhang, C., & Wang, Q. (2026) · Cancer Nanotechnology · doi:10.1186/s12645-026-00368-z
Akalın, A. A., Dağistan, E., & Özçelikkale, A. (2026) · Lecture notes in mechanical engineering · doi:10.1007/978-3-032-16138-3_2
Techniques for quantifying cell-scale dynamic mechanical interactions in extracellular matrices
Pokki, J. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-30048-6.00009-7
Mierke, C. T. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-30048-6.00002-4
Extracellular Vesicles: A Conduit for Nanomaterial to Travel into Solid Tumors
Wu, X., & Pang, H. (2026) · Nano Letters · doi:10.1021/acs.nanolett.6c01550
Lei, J., Xue, R., Liang, Q., Yang, G., Pan, X., Ren, T., Zheng, K., Wei, Q., Gong, Z., & Liu, X. (2026) · Advanced Materials · doi:10.1002/adma.73896
Bedir, M. E., Uğuz, A. C., & Ünal, M. (2026) · Cancer and Metastasis Reviews · doi:10.1007/s10555-026-10375-6
Heterogeneity in cancer: molecular mechanisms and therapeutic strategies
He, Y., Niu, L., Ren, Y.-M., Yuan, G.-Q., Pan, Y.-W., & Jin, W. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-03064-x
Metadata
- Authors
- Malandrino, A., Mak, M., Kamm, R. D., & Moeendarbary, E.
- Affiliations
- European Molecular Biology Laboratory (ES)
- Yale University (US)
- Massachusetts Institute of Technology (US)
- University College London (GB)
- Corresponding author
- Malandrino, Andrea
- Mak, Michael
- Kamm, Roger D.
- Moeendarbary, Emad
- Venue
- Extreme Mechanics Letters
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 21
- Pages
- 25-34
- ISSN
- 2352-4316 (ISSN-L)
- PMC
- PMC6097546
- OpenAlex
- W2794352591
- Cited by
- 192
- References
- 136
- Citations by year
- 2026: 16 · 2025: 13 · 2024: 12 · 2023: 28 · 2022: 20 · 2021: 35 · 2020: 36 · 2019: 27 · 2018: 4
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Extreme Mechanics Letters (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- UCL Discovery (University College London) (submittedVersion)
- Elsevier eBooks
- Funders
- People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (625500)
- U.S. National Cancer Institute (U01 CA202177-01)
- Cancer Research UK Multidisciplinary Award (C57744/A22057)
- Wellcome Trust-Massachusetts Institute of Technology Fellowship (WT103883)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Physical Sciences › Engineering › Biomedical Engineering › Elasticity and Material Modeling
- Physical Sciences › Materials Science › Biomaterials › Hydrogels: synthesis, properties, applications
- Keywords
- extracellular matrix, tumor microenvironment, extracellular matrix remodeling, cell-matrix interactions, cancer, tumor stroma, ECM composition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review