An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer.

To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a cohort of 266 patients, comprising 115 individuals diagnosed with PNETs and 151 with pancreatic cancer. These patients were randomly assigned to the training or test group in a 7:3 ratio.

Multiomic analysis of lactylation and mitochondria-related genes in hepatocellular carcinoma identified MRPL3 as a new prognostic biomarker.

Background: Recent research has highlighted lactate's crucial role in epigenetic regulation, particularly by influencing histone modifications that drive the initiation and progression of hepatocellular carcinoma (HCC). While mitochondria are known to regulate tumor behavior, the interaction between lactate metabolism and mitochondrial function in cancer tissues remains underexplored. Understanding this relationship may provide deeper insights into tumor metabolic reprogramming and reveal novel therapeutic targets for HCC and other malignancies.

Feasibility of indocyanine green fluorescence imaging to predict biliary complications in living donor liver transplantation: A pilot study.

Backgrounds/aims: Liver transplantation (LT) is now a critical, life-saving treatment for patients with liver cirrhosis or hepatocellular carcinoma. Despite its significant benefits, biliary complications (BCs) continue to be a major cause of postoperative morbidity. This study evaluates the fluorescence intensity (FI) of the common bile duct (CBD) utilizing near-infrared indocyanine green (ICG) imaging, and examines its association with the incidence of BCs within three months post-LT.

Iron transfer across a functional syncytialized trophoblast monolayer.

Studying iron transfer across trophoblast monolayers is crucial given the significance of iron in maintaining a healthy pregnancy and supporting fetal growth and development. To get insights into the complex mechanism of transplacental iron transfer, we developed a standardized Transwell®-based monolayer model using BeWo (clone b30) cells. Our proposed method is divided into two parts: 1.