Gastric cancer adapts high lipid microenvironment via suppressing PPARG-FABP1 axis after arriving in the lymph node.

Aim: Gastric cancer (GC) primarily metastasizes through lymphatic channels, although lymphatic metastasis remains relatively inefficient. Changes in cellular metabolism, known as metabolic reprogramming, plays a significant role in the adaptive survival of cells during the process. Therefore, understanding the mechanism underlying metabolic reprogramming in lymph node (LN) metastasis is crucial for the development of targeted therapies for advanced gastric cancer.

KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections.

Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of lung cancer is essential in diagnosing and treating lung lesions. This paper aims to collect histopathological section images of lung tumor surgical specimens to construct a clinical dataset for researching and addressing the classification problem of specific subtypes of lung tumors.