Results 231 to 240 of about 3,006,553 (325)
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian+10 more
wiley +1 more source
The effect of commonly used non-antibiotic medications on antimicrobial resistance development in Escherichia coli. [PDF]
Chen H, Sapula SA, Turnidge J, Venter H.
europepmc +1 more source
PHOTOREACTIVATION OF ULTRAVIOLET-IRRADIATED ESCHERICHIA COLI, WITH SPECIAL REFERENCE TO THE DOSE-REDUCTION PRINCIPLE AND TO ULTRAVIOLET-INDUCED MUTATION [PDF]
Albert Kelner
openalex +1 more source
This real‐world study of ROS1+ NSCLC highlights fusion diversity, treatment outcomes with crizotinib and lorlatinib, and in vitro experiments with resistance mechanisms. G2032R drives strong resistance to ROS1‐targeted TKIs, especially lorlatinib. Fusion partner location does not affect overall survival to crizotinib or lorlatinib. Findings support the
Fenneke Zwierenga+8 more
wiley +1 more source
Effect of clonal hematopoiesis on plaque morphology and prognosis in patients with acute myocardial infarction. [PDF]
Li J+12 more
europepmc +1 more source
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
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
Mapping Knock-Down Resistance Mutations in Head-Louse Populations in Jazan, Saudi Arabia. [PDF]
Zelai NT.
europepmc +1 more source
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