Evidence map›Paper›PMID 42650813›Full record

ReviewBiomolecules2026

Role of Mechanotransduction in Cancer: A Complex Problem Involving Gene Mutations and Altered Levels of Connection Components.

Frederick H Silver

Abstract readReview
In one paragraph

Review in Biomolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Frederick H SilverDepartment of Pathology and Laboratory Medicine, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.ORCID 0000-0002-2480-9264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExternal and internal forces and tissue energy influence the structure and function of mammalian tissues during life in a gravitational field. Changing force (stress) and energy equilibria provide a dynamic means to regulate cell and tissue growth during development and maturation. However, genetic mutations and changes in expression of macromolecules involved in cell and extracellular matrix (ECM) equilibria lead to tumor formation.

methodsA model is presented illustrating connections between ECM, cell membranes, cell cyto- and nucleoskeletons, cell nucleus, and cell-cell junctions that promote energy storage, transmission, and dissipation. The effects of mutations involving changes in P53 and Coll 11A1 genes and changes in expression of collagens and collagen receptors, integrins, ILK, FAK, Talin, Paxillin, Kindlins, c-SRC, Actin, myosin light chain, Filamin A, E-cadherin, and beta catenin that have been reported to occur in cancerous lesions are examined.

resultsWhen mutations or altered component expressions occur, mechanotransduction pathways are activated that lead to modified epithelial-mesenchymal (EMT) and endothelial-mesenchymal (ENT) transitions resulting in new cell division and deposition of ECM.

conclusionsIt is hypothesized that changes in genes and expression of proteins in the connections between ECM and bound cells alter energy storage and dissipation. This leads to local stress concentrations that alter force and energy dynamic equilibria required to maintain homeostasis. Excess energy associated with broken connections within cells is dissipated through changes in myosin structure and function.

Indexed as

Mechanotransduction, CellularMutationNeoplasmsAnimalsExtracellular MatrixHumanscadherinscaterinscell cytoskeletoncell nucleuscollagenFAKintegrinsintermediate filamentskindlinmechanotransduction pathwaysnuclear laminsnucleoskeletonPaxillinTalin

Identifiers

PMID42650813
PMCPMC13510967

What OpenQuestion holds

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Registered trials

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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.