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

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...

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Detalles Bibliográficos
Autores principales: Tan, Qing, Wang, Qian, Jin, Suoqin, Zhou, Fuling, Zou, Xiufen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388464/
https://www.ncbi.nlm.nih.gov/pubmed/37525139
http://dx.doi.org/10.1186/s12885-023-11118-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388464/
https://www.ncbi.nlm.nih.gov/pubmed/37525139
http://dx.doi.org/10.1186/s12885-023-11118-4

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