Cancer Immunology Lactate-SREBP2 Signaling Axis-Driven Tolerogenic Dendritic Cell Maturation and Its Role in Promoting Cancer Progression Background In cancer, conventional dendritic cells (DCs) are key mediators of anti-tumor immunity. However, cancer has evolved mechanisms that render DCs ineffective in the tumor microenvironment (TME), and these...

MAIT Cells Monitor Gut Microbiota Dysbiosis and Protect the Host in Colitis Research Background As research on the relationship between the gut and host health deepens, changes in the gut microbiome are closely related to various human diseases, especially inflammatory bowel disease (IBD). Currently, it is recognized that under homeostatic conditio...

Study of TGF-β1 in Fibrosis Progression: An Exploration of an Antibody Targeting Binding Proteins Research Background Fibrosis is a leading cause of poor prognosis in numerous diseases, such as chronic kidney disease, non-alcoholic steatohepatitis, and idiopathic pulmonary fibrosis. Despite the substantial medical need, directly targeting fibrosis ...

YAP Inhibits the TEAD-NF-κB Complex and Suppresses the Growth of Clear Cell Renal Cell Carcinoma Research Background Conventionally, the Hippo signaling pathway inhibits YAP-TEAD transcriptional complexes by keeping the transcriptional coactivator YAP phosphorylated and retained in the cytoplasm, thereby impeding tumor growth. However, researchers ...

In the context of today’s rapid advancement in science and technology, immunotherapy with natural killer (NK) cells has attracted widespread attention in the scientific community for their potential advantages in combating tumors and viral infections. Especially, the discovery of memory-like NK cells has brought new hope for NK cells as an anticanc...

Study of Neuroepithelial Genetic Markers and Prognosis in High-Grade Gliomas Background and Research Motivation High-grade gliomas are highly malignant brain tumors with generally poor patient prognosis. Previous preclinical model studies have suggested that interactions between neural and tumor cells drive tumor growth, but clinical validation of ...

Representation Learning of Lung Cancer Based on Graph Neural Networks Background Introduction With the rapid development of digital pathology, image-based diagnostic systems are becoming increasingly important in precise pathological diagnosis. These systems rely on Multiple Instance Learning (MIL) technology for Whole Slide Images (WSIs). However,...

Research Report on Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer: A Study of Multi-View Adaptive Weighted Graph Convolutional Networks Background Introduction Lung cancer is a highly prevalent and poorly prognostic malignant tumor with a persistently high mortality rate. Among all lung cancer patients, Non-Small Cell Lung Cancer ...

Multiple Prior Knowledge Graph Neural Network in Multi-Omics Data Analysis Background Introduction Precision medicine is an important field for the future of healthcare as it provides personalized treatment plans for patients, improving treatment outcomes and reducing costs. For instance, due to the complex clinical, pathological, and molecular cha...

The Mechanism of Action of Specific Reprogramming of Histone H3 Lysine 9 Acetylation (H3K9ac) in the Progression and Metastasis of Esophageal Squamous Cell Carcinoma (ESCC) Background Esophageal cancer is one of the most prevalent and invasive malignant tumors globally, causing over 500,000 cancer-related deaths annually, ranking sixth among cancer...