Cargando…
Screening and identification of key genes and pathways in metastatic uveal melanoma based on gene expression using bioinformatic analysis
The current study aimed to elucidate the molecular mechanisms and identify the potential key genes and pathways for metastatic uveal melanoma (UM) using bioinformatics analysis. Gene expression microarray data from GSE39717 included 39 primary UM tissue samples and 2 metastatic UM tissue samples. Di...
Autores principales: | Xie, Jialu, Wu, Zhenyu, Xu, Xiaogang, Liang, Guanlu, Xu, Jiehui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581038/ https://www.ncbi.nlm.nih.gov/pubmed/33120861 http://dx.doi.org/10.1097/MD.0000000000022974 |
Ejemplares similares
-
Screening and identification of key biomarkers for retinoblastoma: Evidence from bioinformatics analysis
por: Huang, Jing, et al.
Publicado: (2020) -
In vivo intraocular biomarkers: Changes of aqueous humor cytokines and chemokines in patients affected by uveal melanoma
por: Midena, Edoardo, et al.
Publicado: (2020) -
Identification of the key mechanisms of action of Si-Ni-San in uveitis using bioinformatics and network pharmacology
por: Zhang, Dandan, et al.
Publicado: (2023) -
Screening and Identification of Key Biomarkers in Metastatic Uveal Melanoma: Evidence from a Bioinformatic Analysis
por: Wang, Tan, et al.
Publicado: (2022) -
Type III uveal effusion syndrome suspected to be related to pachychoroid spectrum disease: A case report
por: Terubayashi, Yuya, et al.
Publicado: (2020)