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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Bibliographic Details
Main Authors: Lin Qi, Fangyue Chen, Lu Wang, Zhimin Yang, Wenchao Zhang, Zhihong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1217488/full