Results 181 to 190 of about 2,753,395 (319)

SFPQ subcellular mislocalisation entails altered cancer cell function. [PDF]

open access: yesClin Transl Med
Yang L   +8 more
europepmc   +1 more source

MICROFILAMENTS IN EPIDERMAL CANCER CELLS [PDF]

open access: bronze, 1974
Harry L. Malech, Thomas L. Lentz
openalex   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

open access: yesMolecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy   +9 more
wiley   +1 more source

Prolactin and DNA damage trigger an anti-breast cancer cell immune response. [PDF]

open access: yesFront Endocrinol (Lausanne)
Karayazi Atici Ö   +4 more
europepmc   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

open access: yesMolecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster   +3 more
wiley   +1 more source

Constraint based modeling of drug induced metabolic changes in a cancer cell line. [PDF]

open access: yesNPJ Syst Biol Appl
Benedicto X   +3 more
europepmc   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

open access: yesMolecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin   +10 more
wiley   +1 more source

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