Results 261 to 270 of about 3,633,006 (396)
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
The complex mode of action of the topoisomerase II inhibitor etoposide in triggering apoptosis involves several mechanisms: overexpression of the mitochondrial protein VDAC1, leading to its oligomerization and formation of a large channel that mediates the release of pro‐apoptotic protein; and overexpression of the apoptosis regulators p53, Bax, and ...
Aditya Karunanithi Nivedita+1 more
wiley +1 more source
<i>MyGuide long COVID</i>: An online self-management tool for people with long COVID. [PDF]
Naik H+9 more
europepmc +1 more source
THE SAMPLING OF COAL AND CLASSIFICATION OF ANALYTICAL DATA. [PDF]
A. Bement
openalex +1 more source
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi+5 more
wiley +1 more source
Impact of AI and big data analytics on healthcare outcomes: An empirical study in Jordanian healthcare institutions. [PDF]
Al-Dmour R+3 more
europepmc +1 more source
Using mass cytometry, we analyzed serial blood samples from patients with relapsed epithelial ovarian cancer (EOC) treated with oleclumab–durvalumab combination immunotherapy in the NSGO‐OV‐UMB1/ENGOT‐OV30 trial. Our analysis identified potential predictive, monitoring, and response biomarkers detectable through liquid biopsy. These findings facilitate
Luka Tandaric+11 more
wiley +1 more source
Data's big three: how learning health systems, artificial intelligence and predictive analytics are transforming healthcare. [PDF]
Butler-Henderson K, Arabi S, Wang W.
europepmc +1 more source