Evidence map›Paper›PMID 42001082›Full record

ReviewJournal of nanobiotechnology2026

Mechanobiology of cancer-associated thrombosis: from molecular mechanisms to therapeutic innovation.

Zilin Tonya Wang, Yixuan Ria Hu, Zilong Zhan, Alexander Dupuy, Zhian Yao, Xuyu Liu, Lining Arnold Ju

Abstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zilin Tonya WangSchool of Biomedical Engineering, The University of Sydney, Darlington, 2008, NSW, Australia.
Yixuan Ria HuSchool of Biomedical Engineering, The University of Sydney, Darlington, 2008, NSW, Australia.
Zilong ZhanCharles Perkins Centre, The University of Sydney, Camperdown, 2006, NSW, Australia.
Alexander DupuySchool of Biomedical Engineering, The University of Sydney, Darlington, 2008, NSW, Australia.
Zhian YaoSchool of Biomedical Engineering, The University of Sydney, Darlington, 2008, NSW, Australia.
Xuyu LiuCharles Perkins Centre, The University of Sydney, Camperdown, 2006, NSW, Australia. xuyu.liu@sydney.edu.au.
Lining Arnold JuSchool of Biomedical Engineering, The University of Sydney, Darlington, 2008, NSW, Australia. arnold.ju@sydney.edu.au.

Funding

Australian Research Council DP240101768Medical Research Future Fund MRF2016165, MRF2023977, MRF2028865NSW Health Cardiovascular Capacity Building Program Early-Mid Career Researcher GrantSnow Medical 2022SF176Tour de Cure RSP-391-FY2023University of Sydney Proof-of-Concept Fund STEM stream G225913Wellcome Trust 105863
6 · The paper itself

Abstract

Cancer-associated thrombosis (CAT) is the second leading cause of death in cancer patients, with venous thromboembolism affecting 20–30% of cases. While conventional models emphasize biochemical mediators such as tissue factor (TF) and inflammatory cytokines, they incompletely explain the spatial heterogeneity and therapeutic resistance of CAT. This review presents a mechanobiology-centered framework that integrates physical forces—including aberrant hemodynamics, elevated interstitial pressure, and matrix stiffening—with cellular mechanotransduction to explain thrombogenesis in malignancy. We examine how tumor-induced mechanical cues activate PIEZO1 channels, integrin-focal adhesion signaling, and YAP/TAZ transcriptional programs, collectively driving TF expression, extracellular vesicle release, platelet hyperreactivity, and neutrophil extracellular trap formation. Red blood cells (RBCs) emerge as underappreciated mechanobiological contributors through rheology-dependent and phosphatidylserine-mediated mechanisms. Advanced microfluidic platforms recapitulating tumor-specific shear conditions enable mechanistic dissection and compound screening under physiologically relevant flow. Therapeutic strategies targeting upstream mechanosensitive pathways—including PIEZO1 modulation, YAP/TAZ-TEAD inhibition, and membrane tension control—offer potential to attenuate prothrombotic outputs while preserving hemostasis. Integration of mechanobiological biomarkers with machine-learning risk models may enhance CAT prediction beyond current clinical scores. This multi-scale perspective bridges molecular mechanosensors to tissue-level hemodynamics, establishing a foundation for precision thromboprophylaxis informed by the mechanical phenotype of individual tumors.

Indexed as

Mechanotransduction, CellularNeoplasmsThrombosisAnimalsHumansIon ChannelsThromboplastinIon ChannelsThromboplastinCancerExtracellular vesiclesMechanobiologyThrombosisTissue factor

Identifiers

PMID42001082
PMCPMC13227722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.