ArticleBiomaterials2024
Emergence of nanoscale viscoelasticity from single cancer cells to established tumors.
Article in Biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Cancer cells metastasize in several types of cancer via two distinct routes, probably based on mechanical signals.Frontiers in cell and developmental biology · 2026Review
- Article
- Probing the physical hallmarks of cancer.Nature methods · 2025Review
- Biomechanics of the tumor extracellular matrix and regulatory T cells: regulatory mechanisms and potential therapeutic targets.Cell communication and signaling : CCS · 2025Review
- Solid Stress Estimations via Intraoperative 3D Navigation in Patients with Brain Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- High-Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025Article
- Exploring the heterogeneity in glioblastoma cellular mechanics using in-vitro assays and atomic force microscopy.Scientific reports · 2025Article
- Cartilaginous microtissues exhibit extreme resilience under compression with size-dependent mechanical properties.Biomaterials · 2025Article
- Epithelial Cell Mechanoresponse to Matrix Viscoelasticity and Confinement Within Micropatterned Viscoelastic Hydrogels.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multi-Channel Signals in Dynamic Force-Clamp Mode of Microcantilever Sensors for Detecting Cellular Peripheral Brush.Sensors (Basel, Switzerland) · 2024Article
- Multiscale elasticity mapping of biological samples in 3D at optical resolution.Acta biomaterialia · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Tumors are complex materials whose physical properties dictate growth and treatment outcomes. Recent evidence suggests time-dependent physical properties, such as viscoelasticity, are crucial, distinct mechanical regulators of cancer progression and malignancy, yet the genesis and consequences of tumor viscoelasticity are poorly understood. Here, using Wide-bandwidth AFM-based ViscoElastic Spectroscopy (WAVES) coupled with mathematical modeling, we probe the origins of tumor viscoelasticity. From single carcinoma cells to increasingly sized carcinoma spheroids to established tumors, we describe a stepwise evolution of dynamic mechanical properties that create a nanorheological signature of established tumors: increased stiffness, decreased rate-dependent stiffening, and reduced energy dissipation. We dissect this evolution of viscoelasticity by scale, and show established tumors use fluid-solid interactions as the dominant mechanism of mechanical energy dissipation as opposed to fluid-independent intrinsic viscoelasticity. Additionally, we demonstrate the energy dissipation mechanism in spheroids and established tumors is negatively correlated with the cellular density, and this relationship strongly depends on an intact actin cytoskeleton. These findings define an emergent and targetable signature of the physical tumor microenvironment, with potential for deeper understanding of tumor pathophysiology and treatment strategies.
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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.