Lopez-Beltran, AntonioBlanca, AnaCimadamore, AlessiaGogna, RajanMontironi, RodolfoCheng, Liang2025-01-072025-01-072021-11-012072-6694https://hdl.handle.net/10668/25619Molecular classification of bladder carcinoma is a relevant topic in modern bladder cancer oncology due to its potential to improve oncological outcomes. The available molecular classifications are generally based on transcriptomic profiles, generating highly diverse categories with limited correlation. Implementation of molecular classification in practice is typically limited due to the high complexity of the required technology, the elevated costs, and the limited availability of this technology worldwide. We have conducted a gene expression analysis using a four-gene panel related to luminal and basal subtypes in a series of 91 bladder cancer cases. NanoString-based gene expression analysis using typically luminal (GATA3+/KRT20+) and basal markers (KRT14+/KRT5+/GATA3low/-/KRT20low/-) classified urothelial bladder carcinoma samples as luminal, basal, and a third category (KRT14-/KRT5-/GATA3-/KRT20-), null/double negative (non-luminal/non-basal). These three categories were meaningful in terms of overall cancer-specific survival (penAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/NanoStringbasalbladder cancerclassificationluminalmolecularmolecular taxonomyresearch article34771663open access10.3390/cancers13215500PMC8583679https://www.mdpi.com/2072-6694/13/21/5500/pdf?version=1635832533https://pmc.ncbi.nlm.nih.gov/articles/PMC8583679/pdf