Network Evolution Model-based prediction of tumor mutation burden from radiomic-clinical features in endometrial cancers

Abstract 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. Met...

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Bibliografische gegevens

Hoofdauteurs:	Qing Tan, Qian Wang, Suoqin Jin, Fuling Zhou, Xiufen Zou
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2023-07-01
Reeks:	BMC Cancer
Onderwerpen:	Endometrial cancer Radiomic-clinical features Tumor mutation burden Network evolution model Transfer information entropy
Online toegang:	https://doi.org/10.1186/s12885-023-11118-4
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