Cargando…
Identification of a Metabolism-Related Signature for the Prediction of Survival in Endometrial Cancer Patients
OBJECTIVE: Endometrial cancer (EC) is one of the most common gynecologic malignancies. The present study aims to identify a metabolism-related biosignature for EC and explore the molecular immune-related mechanisms underlying the tumorigenesis of EC. METHODS: Transcriptomics and clinical data of EC...
Autores principales: | Fan, Yuan, Li, Xingchen, Tian, Li, Wang, Jianliu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982602/ https://www.ncbi.nlm.nih.gov/pubmed/33763366 http://dx.doi.org/10.3389/fonc.2021.630905 |
Ejemplares similares
-
Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer
por: Cheng, Yuan, et al.
Publicado: (2021) -
Insulin Resistance and Metabolic Syndrome Increase the Risk of Relapse For Fertility Preserving Treatment in Atypical Endometrial Hyperplasia and Early Endometrial Cancer Patients
por: Li, Xingchen, et al.
Publicado: (2021) -
Mechanical Stimulus-Related Risk Signature Plays a Key Role in the Prognostic Nomogram For Endometrial Cancer
por: Xu, Xin, et al.
Publicado: (2021) -
Development and Validation of Nomograms Predicting the Overall and the Cancer-Specific Survival in Endometrial Cancer Patients
por: Li, Xingchen, et al.
Publicado: (2020) -
Development and validation of a prognostic model based on metabolic risk score to predict overall survival of endometrial cancer in Chinese patients
por: Li, Xingchen, et al.
Publicado: (2023)