FGFR inhibitors are a new therapeutic option for urothelial carcinoma (UC) with FGFR2/3 alterations. In this study, we analyzed genetic alterations, co-regulation, and differential expression for 45 genes encoding FGF, FGFR, or FGF-binding proteins (FGFBPs) in five published UC cohorts (n = 3939 MIBC) and 39 UC cell lines (DepMap portal). Network analyses identified FGFR1/3 genes as critical oncogenic hubs, co-regulated with their ligands and co-receptors, and abundantly expressed at protein level in the HPA immunohistochemistry data set. Machine learning with 38 FGFR-, FGF-, and FGFBP-coding transcripts reproduced consensus molecular subtypes with high accuracy of 0.72-0.84 (Cohen's κ 0.59-0.77). FGFR3 mutations in the transmembrane/hinge region, which were enriched in luminal papillary tumors, trigger ligand-independent signaling. Conversely, overexpression of FGFR1 and its ligands and accessory protein transcripts indicates ligand-dependent FGFR1 signaling in stroma-rich and basal/squamous subtypes. The sensitivity of most DepMap UC cell lines to pan-FGFR inhibitors in the GDSC and PRISM drug screens was independent of FGFR3 alterations. In vitro, erdafitinib reduced proliferation in FGFR wild-type UC cell lines in a similar manner to FGFR3-mutated cell lines. Our findings highlight FGFR1 and FGFR3 as pivotal signaling pathways with distinct, molecular subtype-specific activation mechanisms. The results suggest that FGFR inhibitors may have therapeutic applications beyond UC tumors with FGFR2/3 alterations.
Keywords: Consensus molecular classification; Erdafitinib; FGFR inhibitors; FGFR signaling; Urothelial cancer.
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