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

28 Dec 2024

Abstract excerpt

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 hyperprogression while on immunotherapy. Hence, there is a pressing need to further delineate the distinct immune response...

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PMID: 39730507
DOI: 10.1038/s41598-024-81040-7

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