ReviewFrontiers in oncology2023
The relationship between cancer and biomechanics.
Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Mechanical fingerprints in breast cancer research: A multimodal experimental approach.Bioengineering & translational medicine · 2026Article
- Matrix Stiffness Directs Stemness Signatures in Breast Cancer.Advanced healthcare materials · 2026Article
- Development of the relationship between tumor and mechanobiology over the past 30 years: a bibliometric analysis.Discover oncology · 2026Article
- Polycystin-1 Orchestrates Tumor Context-Dependent Mechanotransduction Programs Driving Epithelial-to-Mesenchymal Transition and Invasion in Solid Cancers.International journal of biological sciences · 2026Article
- Dimensional memory in glioblastoma mechanics: Traction force analysis of cells cultured in 2D versus 3D collagen environments.Bioactive materials · 2026Article
- The biomechanical signature of tumor invasion.Genes & diseases · 2026Review
- A 'Spicy' Mechanotransduction Switch: Capsaicin-Activated TRPV1 Receptor Modulates Osteosarcoma Cell Behavior and Drug Sensitivity.International journal of molecular sciences · 2025Article
- Cancer-Associated Fibroblasts: Heterogeneity, Cancer Pathogenesis, and Therapeutic Targets.MedComm · 2025Review
- Unjamming Transition as a Paradigm for Biomechanical Control of Cancer Metastasis.Cytoskeleton (Hoboken, N.J.) · 2025Review
- Mechanical cues rewire lipid metabolism and support chemoresistance in epithelial ovarian cancer cell lines OVCAR3 and SKOV3.Cell communication and signaling : CCS · 2025Article
- Role of Cell Adhesion in Cancer Metastasis Formation: A Review.ACS omega · 2025Review
- The role of laminins in cancer pathobiology: a comprehensive review.Journal of translational medicine · 2025Review
- Adipose Decellularized Matrix: A Promising Skeletal Muscle Tissue Engineering Material for Volume Muscle Loss.Biomaterials research · 2025Review
- Unveiling the potential of biomechanics in pioneering innovative strategies for cancer therapy.Theranostics · 2025Review
- Advances in adhesion-related pathogenesis inFrontiers in microbiology · 2025Review
- Breaking down physical barriers: strategies to improve lymphocyte infiltration for effective neoantigen-based therapies.Frontiers in immunology · 2025Review
- Microgravity as a Tool to Investigate Cancer Induction in Pleura Mesothelial Cells.Current issues in molecular biology · 2024Article
- Whole-Exome Screening and Analysis of Signaling Pathways in Multiple Endocrine Neoplasia Type 1 Patients with Different Outcomes: Insights into Cellular Mechanisms and Possible Functional Implications.International journal of molecular sciences · 2024Article
- Deep Learning for Strain Field Customization in Bioreactor with Dielectric Elastomer Actuator Array.Cyborg and bionic systems (Washington, D.C.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The onset, development, diagnosis, and treatment of cancer involve intricate interactions among various factors, spanning the realms of mechanics, physics, chemistry, and biology. Within our bodies, cells are subject to a variety of forces such as gravity, magnetism, tension, compression, shear stress, and biological static force/hydrostatic pressure. These forces are perceived by mechanoreceptors as mechanical signals, which are then transmitted to cells through a process known as mechanical transduction. During tumor development, invasion and metastasis, there are significant biomechanical influences on various aspects such as tumor angiogenesis, interactions between tumor cells and the extracellular matrix (ECM), interactions between tumor cells and other cells, and interactions between tumor cells and the circulatory system and vasculature. The tumor microenvironment comprises a complex interplay of cells, ECM and vasculature, with the ECM, comprising collagen, fibronectins, integrins, laminins and matrix metalloproteinases, acting as a critical mediator of mechanical properties and a key component within the mechanical signaling pathway. The vasculature exerts appropriate shear forces on tumor cells, enabling their escape from immune surveillance, facilitating their dissemination in the bloodstream, dictating the trajectory of circulating tumor cells (CTCs) and playing a pivotal role in regulating adhesion to the vessel wall. Tumor biomechanics plays a critical role in tumor progression and metastasis, as alterations in biomechanical properties throughout the malignant transformation process trigger a cascade of changes in cellular behavior and the tumor microenvironment, ultimately culminating in the malignant biological behavior of the tumor.
Indexed as
Identifiers
What OpenQuestion holds
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.