Article
Network Evolution Model-based prediction of tumor mutation burden from radiomic-clinical features in endometrial cancers.
BMC cancer - 31 Jul 2023
Tan Qing, Wang Qian, Jin Suoqin, Zhou Fuling, Zou Xiufen
Abstract excerpt
BACKGROUND: Endometrial Cancer (EC) is one of the most prevalent malignancies that affect the female population globally. In the context of immunotherapy, Tumor Mutation Burden (TMB) in the DNA polymerase epsilon (POLE) subtype of this cancer holds promise as a viable therapeutic target. METHODS: We devised a method known as NEM-TIE to forecast the TMB status of patients with endometrial cancer. This approach...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.