Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases

BACKGROUND: The aim of this study was to apply bioinformatic analysis to develop a robust miRNA signature and construct a nomogram model in uveal melanoma (UM) to improve prognosis prediction. METHODS: miRNA and mRNA sequencing data for 80 UM patients were obtained from The Cancer Genome Atlas (TCGA...

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Detalles Bibliográficos
Autores principales: Zuo, Jun, Ye, Hongquan, Tang, Jing, Lu, Jianqun, Wan, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708375/
https://www.ncbi.nlm.nih.gov/pubmed/36457950
http://dx.doi.org/10.1155/2022/9724160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708375/
https://www.ncbi.nlm.nih.gov/pubmed/36457950
http://dx.doi.org/10.1155/2022/9724160

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