Utilizing a histologically derived metric, TIL percentage, we were able to generate a predictive tool that could confidently screen for FGFR2/3 gene mutation, as well as other FGFR aberrations, in a large population of bladder cancer patients. Here, FGFR2 is linked to urinary bladder cancer.