Results 211 to 220 of about 776,755 (348)
Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong +5 more
wiley +1 more source
Double gallbladder: a case report and review of literature. [PDF]
Panday B +6 more
europepmc +1 more source
IL‐4/IL‐13/STAT6 signaling plays a crucial for the suppression of pro‐inflammation during acute pancreatitis and supports acinar cell regeneration but has only minor impact on fibrogenesis during chronic form of the disease. IL‐4/IL‐13 induce the expression of certain collagens directly in pancreatic fibroblasts via STAT6 activation, whereas ...
ElSheikh H +13 more
wiley +1 more source
Acute cholecystitis: a new technique to use carefully. [PDF]
Toro A +7 more
europepmc +1 more source
The Anatomy of the Thoracic Duct and Cisterna Chyli: A Meta-Analysis with Surgical Implications [PDF]
Dawid Plutecki +9 more
openalex +1 more source
This study demonstrates that how hollow‐channel scaffolds promote vascularized bone regeneration via an immunomodulatory mechanism. The channel structures facilitate the formation of a neutrophil extracellular traps‐fibrin scaffold that recruits vascular endothelial growth factor A (VEGF‐A)‐secreting M2 macrophages to drive angiogenesis. Combining this
Guifang Wang +8 more
wiley +1 more source
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen +22 more
wiley +1 more source
Management of common bile duct stones: a comprehensive review. [PDF]
Wang X, Li Z.
europepmc +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source

