Image7_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma.tif

Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. Anoikis and ErbB signaling pathways are pivotal in cancer cell proliferation and metastasis, but their relevance in HCC remains insufficiently e...

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Main Author:	Huipeng Fang (12587509) (author)
Other Authors:	Xingte Chen (11013585) (author), Yaqi Zhong (19526857) (author), Shiji Wu (648119) (author), Qiao Ke (8478609) (author), Qizhen Huang (8811206) (author), Lei Wang (6656) (author), Kun Zhang (108291) (author)
Published:	2024
Subjects:	Immunology Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies) Autoimmunity Cellular Immunology Humoural Immunology and Immunochemistry Immunogenetics (incl. Genetic Immunology) Innate Immunity Transplantation Immunology Tumour Immunology Immunology not elsewhere classified Genetic Immunology Animal Immunology Veterinary Immunology hepatocellular carcinoma anoikis ErbB signaling prognostic model single cell analysis machine learning
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Image7_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma.tif

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