ReviewRegenerative biomaterials2024
Cancer cell response to extrinsic and intrinsic mechanical cue: opportunities for tumor apoptosis strategies.
Review in Regenerative biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Cell Mechanics in Cancer: Integrating Mechanotransduction Pathways Within the Tumor Microenvironment.Journal of cellular physiology · 2026Review
- The Extracellular Matrix Regulates Invasion in Fusion-Negative Rhabdomyosarcoma via YAP-PIEZO1 Signaling Axis.Cancers · 2026Article
- Vessels encapsulating tumor clusters in hepatocellular carcinoma: a distinct metastatic pathway with diagnostic and therapeutic significance.Journal of translational medicine · 2026Review
- Advanced materials and devices strategies of mechanical stimulation for tissue regeneration.Regenerative biomaterials · 2026Review
- Mechanism of ECM Stiffness-Integrin-Hippo-ABCG1 axis in regulating ferroptosis and targeted nanodrug intervention in LUAD.Respiratory research · 2025Article
- Curved Magnetic Hydrogels for Understanding Cancer Initiation.ACS applied materials & interfaces · 2025Article
- Review
- Rational design matrix materials for organoid development and application in biomedicine.Regenerative biomaterials · 2025Review
- Analytical methods in studying cell force sensing: principles, current technologies and perspectives.Regenerative biomaterials · 2025Review
- Research progress on the role of biomechanical clues in the progression of lung cancer.Frontiers in cell and developmental biology · 2025Review
- Matrix stiffness boosts PDAC chemoresistance via SCD1-dependent lipid metabolic reprogramming.Regenerative biomaterials · 2025Article
- Comprehensive review of drug resistance in mammalian cancer stem cells: implications for cancer therapy.Cancer cell international · 2024Review
- Biomaterials Mimicking Mechanobiology: A Specific Design for a Specific Biological Application.International journal of molecular sciences · 2024Review
- The role of the cytoskeleton in fibrotic diseases.Frontiers in cell and developmental biology · 2024Review
- Enhancing tumor photodynamic synergistic therapy efficacy through generation of carbon radicals by Prussian blue nanomedicine.Regenerative biomaterials · 2024Article
- Mechanical Microenvironment-Dependent Tumor Growth Intervention: Recent Advances and Translational Outlook.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing studies have revealed the importance of mechanical cues in tumor progression, invasiveness and drug resistance. During malignant transformation, changes manifest in either the mechanical properties of the tissue or the cellular ability to sense and respond to mechanical signals. The major focus of the review is the subtle correlation between mechanical cues and apoptosis in tumor cells from a mechanobiology perspective. To begin, we focus on the intracellular force, examining the mechanical properties of the cell interior, and outlining the role that the cytoskeleton and intracellular organelle-mediated intracellular forces play in tumor cell apoptosis. This article also elucidates the mechanisms by which extracellular forces guide tumor cell mechanosensing, ultimately triggering the activation of the mechanotransduction pathway and impacting tumor cell apoptosis. Finally, a comprehensive examination of the present status of the design and development of anti-cancer materials targeting mechanotransduction is presented, emphasizing the underlying design principles. Furthermore, the article underscores the need to address several unresolved inquiries to enhance our comprehension of cancer therapeutics that target mechanotransduction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.