Evidence map›Paper›PMID 41828672›Full record

ArticleInternational journal of molecular sciences2026

Mechanotransduction-Induced Gene Expression Reveals Activation of TGFβ/SKIL/TAZ Axis and Supports Invasive Phenotype in Triple-Negative Breast Cancer.

Rakesh K Sharma, Maranda Kramer, Kenneth Hough, Tess Vessels, Lidya Canturk, Hong Wang, Reading Ashton, Mary Kathryn Sewell-Loftin, Kayla F Goliwas, Jessy Deshane and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

12 authors.

Rakesh K SharmaDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0001-5971-636X
Maranda KramerBiomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Kenneth HoughDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Tess VesselsBiomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0003-4555-7008
Lidya CanturkBiomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0009-0004-3838-414X
Hong WangDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Reading AshtonDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Mary Kathryn Sewell-LoftinBiomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Kayla F GoliwasDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0002-6930-6636
Jessy DeshaneDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Joel BerryBiomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Selvarangan PonnazhaganDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

Funding

Mechanisms and therapeutic targeting of osteoimmune functions of RANKL in breast cancerR01CA271056 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Selvarangan Ponnazhagan · 2023 to 2026
$1.7M
American Cancer Society ACS-RSG-24-1321527-01Breast Cancer Research Foundation of Alabama No numberNIH HHS R01CA271056UAB-HSOM Second R01 mechanism No number
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options. Emerging evidence shows that mechanotransduction, driven by matrix stiffness and mechanical signaling, promotes TNBC invasion and metastasis. As breast cancer progresses, expansion of fibroblasts and tumor-reactive stroma increases extracellular matrix deposition, generating matrix tension and enhancing mechanotransduction, which promotes cell proliferation, invasion, and metastatic potential through altered gene expression patterns. To investigate the molecular mechanisms underlying these changes, human TNBC cells were subjected to constant or oscillatory strain, followed by comprehensive transcriptomic analysis. Results revealed pronounced differential expression of genes involved in cell migration, adhesion, and transforming growth factor-β (TGFβ) signaling, with RT-PCR validation confirming SKI Like Proto Oncogene (SKIL) as the most strongly upregulated gene. Analysis of The Cancer Genome Atlas (TCGA) datasets indicated that SKIL is highly expressed in multiple breast cancer subtypes. Cross-sectional comparison of oscillatory strain-induced genes with TCGA data revealed coordinated upregulation of TGFβ, SKIL, and other genes associated with invasive phenotypes, immune suppression, and drug resistance, highlighting the vital role of TGFβ signaling. Transcription factor enrichment analysis further identified regulators linked to oncogenic pathways, including TGFβ effectors and Hippo signaling, supporting a mechanotransduction-driven transcriptional program in breast cancer.

Indexed as

Gene Expression Regulation, NeoplasticIntracellular Signaling Peptides and ProteinsMechanotransduction, CellularTransforming Growth Factor betaTriple Negative Breast NeoplasmsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression ProfilingHumansNeoplasm InvasivenessPhenotypeProto-Oncogene ProteinsSignal TransductionTranscription FactorsIntracellular Signaling Peptides and ProteinsProto-Oncogene ProteinsSKIL protein, humanTranscription FactorsTransforming Growth Factor betamechanotransductionoscillatory strainSKILTGFβ

Identifiers

PMID41828672
PMCPMC12986079

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.