Results 151 to 160 of about 3,028,894 (317)
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Predicting adverse prognostic outcomes in hospitalized breast cancer patients: development and validation of a risk model. [PDF]
Ma L, Cai E, Zhou Z, Gong M, Li C.
europepmc +1 more source
Flood Risk Assessment Model Based on Cmip6 for the Northern Foothills of Qingling Mountain
Adnan R. Ahmed +6 more
openalex +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
A risk model to predict atrial fibrillation in diabetes using machine learning: The ACCORD study. [PDF]
Offerman EJ +5 more
europepmc +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Association between Live Dietary Microbes and Root Caries: A Cross-Sectional Study with a Predictive Risk Model. [PDF]
Wu D +5 more
europepmc +1 more source

