ReviewJournal of biomedical science2026
Mechanobiology of the tumor microenvironment: a review of therapeutic interactions and in vitro elasticity measurement techniques.
Review in Journal of biomedical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The Mechano-Immune-Vascular Activation Loop: An Integrative Conceptual Framework for Positive Feedback in Hypertension.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The stiffness of the extracellular matrix (ECM) regulates cellular behavior, influencing tumor progression and therapeutic resistance. In cancer, aberrant ECM stiffening can reduce immune cell infiltration and treatment efficacy, which can in turn alter the tumor microenvironment. Here, we review the role of ECM stiffness in cancer biology and its relevance to matrix-targeted therapies and biomaterial design. We discuss three-dimensional (3D) in vitro models that mimic native tissues and the bidirectional interactions between ECM mechanics and therapeutic interventions. A comparative analysis of measurement modalities is presented for characterizing complex 3D environments, including shear-wave-based techniques such as optical and ultrasound elastography and non-shear-wave-based approaches such as atomic force microscopy and rheology. Future directions include developing matrix-modulating therapies, integrating elasticity sensors into microfluidic devices for higher throughputs and physiological relevance, and applying machine learning to interpret heterogeneous mechanical properties. Collectively, these engineering and biological advances highlight ECM stiffness as a tractable target and open translational opportunities for predictive modeling, diagnostic platforms, and matrix-directed therapies to improve cancer treatment.
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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.