Deciphering the role of NETosis-related signatures in the prognosis and immunotherapy of soft-tissue sarcoma using machine learning

Background: Soft-tissue sarcomas (STSs) are a rare type of cancer, accounting for about 1% of all adult cancers. Treatments for STSs can be difficult to implement because of their diverse histological and molecular features, which lead to variations in tumor behavior and response to therapy. Despite...

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Detalles Bibliográficos
Autores principales: Qi, Lin, Chen, Fangyue, Wang, Lu, Yang, Zhimin, Zhang, Wenchao, Li, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318157/
https://www.ncbi.nlm.nih.gov/pubmed/37408763
http://dx.doi.org/10.3389/fphar.2023.1217488

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318157/
https://www.ncbi.nlm.nih.gov/pubmed/37408763
http://dx.doi.org/10.3389/fphar.2023.1217488

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