A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer

Abstract Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in incidence among youngsters. Although the advent of the immunotherapy era has profoundly improved patient outcomes, not all patients benefit from immunotherapy; some patients experience hyper...

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Bibliographic Details
Main Authors: Xiaofeng Wang, Jing Guan, Li Feng, Qingxue Li, Liwei Zhao, Yue Li, Ruixiao Ma, Mengnan Shi, Biaogang Han, Guorong Hao, Lina Wang, Hui Li, Xiuli Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-81040-7
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