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Risk Classification of Bladder Cancer by Gene Expression and Molecular Subtype
SIMPLE SUMMARY: Our study used NanoString technology, a high-throughput platform measuring gene expression at the mRNA level to identify a set of genes predictive of clinical outcomes in bladder cancer patients. Twenty-seven differentially expressed genes were correlated with clinicopathological var...
Autores principales: | Blanca, Ana, Lopez-Beltran, Antonio, Lopez-Porcheron, Kevin, Gomez-Gomez, Enrique, Cimadamore, Alessia, Bilé-Silva, Andreia, Gogna, Rajan, Montironi, Rodolfo, Cheng, Liang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093178/ https://www.ncbi.nlm.nih.gov/pubmed/37046810 http://dx.doi.org/10.3390/cancers15072149 |
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