Identification of M2-like macrophage-related signature for predicting the prognosis, ecosystem and immunotherapy response in hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma is one of the most common malignancies worldwide, representing a big health-care challenge globally. M2-like macrophages are significantly correlated with tumor progression, metastasis and treatment resistance. METHODS: Integrative 10 machine learning algorithms...

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Detalles Bibliográficos
Autores principales: Feng, Qian, Lu, Hongcheng, Wu, Linquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508629/
https://www.ncbi.nlm.nih.gov/pubmed/37725627
http://dx.doi.org/10.1371/journal.pone.0291645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508629/
https://www.ncbi.nlm.nih.gov/pubmed/37725627
http://dx.doi.org/10.1371/journal.pone.0291645

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