Identification of an Amino Acid Metabolism Signature Participating in Immunosuppression in Ovarian Cancer

Ovarian cancer is one of the most fatal gynecologic cancer types, and its heterogeneity in the microenvironment limited the efficacy of the current treatment. In this study, we aimed at building a risk score to predict patient survival based on the amino acid metabolic genes and TCGA RNA-seq dataset...

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Detalles Bibliográficos
Autores principales: Yang, Hanlin, Zi, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9242802/
https://www.ncbi.nlm.nih.gov/pubmed/35783506
http://dx.doi.org/10.1155/2022/4525540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9242802/
https://www.ncbi.nlm.nih.gov/pubmed/35783506
http://dx.doi.org/10.1155/2022/4525540

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