Abstract
BackgroundPreviously, our team identified a seven-gene mutation panel in urine sediment to discriminate UBC from benign urological diseases. In the present study, we aimed to validate the panel in an expanded and close to natural population cohort of hematuria. Also, we tried to optimize the panel by incorporating methylation biomarkers. We performed external validation to investigate the robustness and stability of the novel panel.MethodsPatients with urothelial carcinomas and controls were prospectively recruited in clinical trial ChiCTR2000029980. The mutation panel was validated in the expanded cohort(n=333) from Hunan multicenter. Several UBC-specific methylation biomarkers were identified by comprehensive analyses of a series of TCGA, GEO and an independent cohorts, and examined in the expanded cohort. Random Forest algorithm was used to construct an optimal panel. External validation of the optimal panel was carried out in Beijing single center cohort(n=89). NGS technique was used to analyze the DNA point mutations and MS-PCR for methylation.ResultsThe AUC, sensitivity and specificity of the mutation panel in expanded cohort were 0.81, 0.67 and 0.90, respectively. After screening, only cg16966315, cg17945976 and cg24720571 were left for further analysis. The optimal panel consisted of cg24720571 and 8 point mutations, including TERT.chr5_1295228 G_A (TERT 228), FGFR3.chr4_1803568 C_G (FGFR3 568), TERT.chr5_1295250 G_A (TERT 250), FGFR3.chr4_1806099 A_G (FGFR3 099), PIK3CA.chr3_178936091 G_A (PIK3CA 091), PIK3CA.chr3_178952085 A_G (PIK3CA 085), PIK3CA.chr3_178936082 G_A (PIK3CA 082), HRAS.chr11_533874 T_C (HRAS 874). The AUC, sensitivity and specificity of the optimal panel in training group were 0.89, 0.84 and 0.79, respectively, and in test group were 0.95, 0.91 and 0.95, respectively. In the external validation, the AUC, sensitivity and specificity were 0.98, 0.93 and 0.93, respectively.ConclusionsThe optimal panel was obviously superior to previous mutation panel and showed a highly specific and robust performance. The optimal panel may be used as a replaceable approach for early detection of UC.Trial registrationThis research was registered in Chinese Clinical Trial Registry(ChiCTR2000029980).