Endoplasmic reticulum stress promotes hepatocellular carcinoma by modulating immunity: a study based on artificial neural networks and single-cell sequencing

• Published in: Journal of translational medicine Vol. 22; no. 1; pp. 658 - 18
• Main Authors: Cheng, Zhaorui, Li, Shuangmei, Yang, Shujun, Long, Huibao, Wu, Haidong, Chen, Xuxiang, Cheng, Xiaoping, Wang, Tong
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.07.2024; BioMed Central; BMC
• Subjects: Algorithms; Artificial intelligence; Artificial neural network; Carcinoma, Hepatocellular - genetics; Carcinoma, Hepatocellular - immunology; Carcinoma, Hepatocellular - pathology; Causes of; Cell Line, Tumor; Data mining; Databases, Genetic; Diagnosis; Endoplasmic reticulum; Endoplasmic reticulum stress; Endoplasmic Reticulum Stress - genetics; Gene Expression Regulation, Neoplastic; Genes; Health aspects; Hepatocellular carcinoma; Hepatoma; Humans; Immune infiltration; Immune system; Immunity - genetics; Immunotherapy; Liver Neoplasms - genetics; Liver Neoplasms - immunology; Liver Neoplasms - pathology; Machine learning; Neural networks; Neural Networks, Computer; Physiological aspects; Prognosis; Single-Cell Analysis; Tumor Microenvironment - genetics; Tumor Microenvironment - immunology; China; Hepatocellular carcinoma; Prognosis; Artificial neural network; Immune infiltration; Endoplasmic reticulum stress

Hepatocellular carcinoma (HCC) is characterized by the complex pathogenesis, limited therapeutic methods, and poor prognosis. Endoplasmic reticulum stress (ERS) plays an important role in the development of HCC, therefore, we still need further study of molecular mechanism of HCC and ERS for early d...