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

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...

Full description

Saved in:
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
Subjects:
Endometrial cancer
Immune response
Machine learning
Prognosis
SLC38A3
Online Access:https://doi.org/10.1038/s41598-024-81040-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items