Cellular Senescence in Hepatocellular Carcinoma: Immune Microenvironment Insights via Machine Learning and In Vitro Experiments

Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factors. Cellular senescence, marked by permanent cell cycle arrest, plays a crucial role in cancer biology, but its markers and roles in the HCC immune microenvironment remain unclear. Three machine learni...

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Veröffentlicht in:	International journal of molecular sciences 2025-01, Vol.26 (2), p.773
Hauptverfasser:	Lu, Xinhe, Luo, Yuhang, Huang, Yun, Zhu, Zhiqiang, Yin, Hongyan, Xu, Shunqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Aging Algorithms Biomarkers Biomarkers, Tumor - genetics Cancer therapies Carcinoma, Hepatocellular - genetics Carcinoma, Hepatocellular - immunology Carcinoma, Hepatocellular - pathology Cell cycle Cell Line, Tumor Cellular Senescence - genetics Cellular Senescence - immunology Clinical outcomes Datasets Epigenetics Gene Expression Regulation, Neoplastic Genes Humans Killer Cells, Natural - immunology Killer Cells, Natural - metabolism Liver cancer Liver Neoplasms - genetics Liver Neoplasms - immunology Liver Neoplasms - metabolism Liver Neoplasms - pathology Machine Learning Medical prognosis Metabolism Patients Radiation Regression analysis Senescence Single-Cell Analysis - methods Survival analysis Survivin - genetics Survivin - metabolism Tumor Microenvironment - genetics Tumor Microenvironment - immunology
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