Identification of an immune checkpoint gene signature that accurately predicts prognosis and immunotherapy response in endometrial carcinoma

In this study, we performed a bioinformatics analysis to identify immune checkpoint genes (ICGs) associated with prognosis and the immunotherapeutic response in endometrial carcinoma (EC) patients. We classified 47 ICGs into high, medium, and low expression groups by performing RNA-sequencing data a...

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Detalles Bibliográficos
Autores principales: Li, Shaowen, Dong, Chunli, Chen, Jiayan, Gao, Xiaocui, Xie, Xiuying, Zhang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266314/
https://www.ncbi.nlm.nih.gov/pubmed/34158412
http://dx.doi.org/10.18632/aging.203189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266314/
https://www.ncbi.nlm.nih.gov/pubmed/34158412
http://dx.doi.org/10.18632/aging.203189

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