Results 251 to 260 of about 12,311,713 (381)
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Single-cell transcriptomic profiling of the aging mouse brain
Methodios Ximerakis +17 more
semanticscholar +1 more source
Organ-Specific Regulation of Systemic Aging: Focus on the Brain, Skeletal Muscle, and Gut. [PDF]
Fu J +5 more
europepmc +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
The Yeast <i>Saccharomyces cerevisiae</i> as a Model to Study the Anti-Aging Activity of Phycocyanin. [PDF]
Cassamagnaghi D +3 more
europepmc +1 more source
Age Integration or Age Conflict as Society Ages? [PDF]
openaire +2 more sources
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
Prediction of Targets and Mechanisms of Top Ten Core "Food-Medicine Homologous Traditional Chinese Medicines" in Delaying Vascular Aging: An Integrative Computational Study. [PDF]
Bai Y, Liu Q, Zhou Q, Xiao P, Xia L.
europepmc +1 more source

