Evidence mapPaperPMID 42112985Full record

ReviewJournal of cellular physiology2026

Cell Mechanics in Cancer: Integrating Mechanotransduction Pathways Within the Tumor Microenvironment.

Merve Sevgi, Yağmur Işık, Caner Karaca, Esmahan Çağlar, Hasan Berkay Abdioğlu, Ferican Zendel, Yasemin Başbınar, Hüseyin Üvet

Abstract readReview
In one paragraph

Review in Journal of cellular physiology, 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. Review
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

8 authors.

Merve SevgiDepartment of Bioengineering, Yıldız Technical University, Istanbul, Turkey.
Yağmur IşıkDepartment of Mechatronics Engineering, Yıldız Technical University, Istanbul, Turkey.ORCID https://orcid.org/0009-0004-9678-917X
Caner KaracaOncology Institute, Dokuz Eylül University, Izmir, Turkey.
Esmahan ÇağlarDepartment of Bioengineering, Yıldız Technical University, Istanbul, Turkey.
Hasan Berkay AbdioğluDepartment of Mechatronics Engineering, Yıldız Technical University, Istanbul, Turkey.
Ferican ZendelDepartment of Biotechnology, Institute of Science, Istanbul University, Istanbul, Turkey.
Yasemin BaşbınarOncology Institute, Dokuz Eylül University, Izmir, Turkey.
Hüseyin ÜvetDepartment of Mechatronics Engineering, Yıldız Technical University, Istanbul, Turkey.

Funding

Scientific and Technological Research Council of Turkiye (TUBİTAK) 124M492Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
6 · The paper itself

Abstract

Single-cell mechanical properties such as stiffness, elasticity, and viscosity, are crucial in governing biological processes like migration, proliferation, and differentiation. In cancer, the mechanical properties of cells undergo significant alterations, which contribute to tumor growth, metastasis, and resistance to therapy. This review focuses on cancer cell stiffness and explores how its regulation is disrupted by the complex interplay among cytoskeletal remodeling, nuclear mechanics, and extracellular matrix (ECM) interactions. Cancer-associated fibroblasts (CAFs) and ECM composition within the tumor microenvironment (TME) modulate cellular mechanics via mechanotransduction pathways involving Yes-associated protein/transcriptional coactivator with PDZ-binding motif (YAP/TAZ) and integrin-focal adhesion kinase (FAK) signaling. Increasing evidence supports cell stiffness as a promising diagnostic and prognostic biomarker, as well as a predictor of treatment response. Therefore, advanced techniques for measuring cell stiffness such as atomic force microscopy (AFM), Brillouin microscopy, and acousto-holography are evaluated with a focus on their potential clinical applicability. However, translation into routine oncology practice remains limited by technical variability, lack of standardized protocols, and the need for large-scale clinical validation. This review highlights the potential of integrating biomechanical markers into clinical workflows as a means to advance cancer diagnostics and enable more personalized therapeutic strategies.

Indexed as

Mechanotransduction, CellularNeoplasmsTumor MicroenvironmentAnimalsBiomechanical PhenomenaCancer-Associated FibroblastsExtracellular MatrixHumans

Identifiers

PMID42112985
PMCPMC13159791

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.