Evidence map›Paper›PMID 41582276›Full record

ArticleScientific reports2026

Targeting the Akt-EphA2 axis and cell-cell adhesion enhances anoikis sensitivity in cancer cells.

Anat Galis Vivante, Nehal Dwivedi, Michael P Sheetz, Guy Nir

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Anat Galis Vivante *Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Nehal Dwivedi *Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Michael P SheetzBiochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Guy NirBiochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA. niguy@utmb.edu.

Funding

Cancer Prevention and Research Institute of Texas RR210018
6 · The paper itself

Abstract

Rigidity sensing enables cells to respond to extracellular matrix stiffness and governs survival and apoptotic decisions. Tropomyosin 2.1 (Tpm2.1), a key actin-binding protein, is frequently downregulated in cancer. While re-expressing Tpm2.1 restores rigidity sensing and limits anchorage-independent growth, its ability to fully trigger anoikis, apoptosis induced by loss of matrix attachment, remains unclear. Here, we show that although Tpm2.1 overexpression reduces Akt activation and suppresses survival signaling in suspended breast cancer cells, most cells remain viable without matrix attachment. Time-resolved transcriptomic profiling of apoptotic and non-apoptotic suspended cells revealed compensatory survival programs, including reactivation of PI3K-Akt signaling and upregulation of intercellular adhesion molecules such as ICAM1. Importantly, anoikis resistance can be overcome. Pharmacological inhibition of Akt, EphA2, or ICAM1 in Tpm2.1-expressing cells significantly increases apoptosis under suspension conditions. These findings highlight that while rigidity sensing restoration alone may be insufficient to induce anoikis, it sensitizes cancer cells to targeted therapies, revealing actionable vulnerabilities to eliminate detached tumor cells.

Indexed as

AnoikisBreast NeoplasmsCell AdhesionProto-Oncogene Proteins c-aktCell Line, TumorCell SurvivalFemaleGene Expression Regulation, NeoplasticHumansSignal TransductionTropomyosinProto-Oncogene Proteins c-aktTropomyosinBreast cancerLoss of anchorage-dependencyRigidity sensingTranscriptome profiling

Identifiers

PMID41582276
PMCPMC12905416

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.