Background: TMB has emerged as a novel biomarker of immune checkpoint inhibitor (ICPI) response in a wide variety of malignancies, but not yet in PSCC. Methods: 397 clinically advanced PSCC underwent hybrid capture based comprehensive genomic profiling (CGP) to evaluate all classes of genomic alterations (GA). TMB was determined on up to 1.1 Mb of sequenced DNA and categorized into three groups: <10 mutations/Megabase [muts/Mb] (low), 10-19 muts/Mb (high), and >20 muts/Mb (very high). MSI was determined on 114 loci. Genome-wide loss of heterozygosity (gLOH) was determined using validated pipelines and PD-L1 expression by IHC (TPS and Dako 22C3). Statistical comparisons utilized the Bonferonni correction method. Results: There were 339 (85.4%) TMB low, 40 (10.1%) TMB 10-19 and 18 (4.5%) TMB very high PSCC cases. The mean age of PSCC with very high TMB at 70.1 yrs was older than TMB low at 63.4 yrs (p=.08). The GA per tumor frequencies ranged from 5.4 to 5.5 in the 3 groups. There were no significant differences in genomic ancestry among the 3 groups. The TMB 10-19 and TMB very high tended to feature an APOBEC genomic mutational signature more than the TMB low PSCC cases (74 and 76% vs 44%). MSI high status was absent in the TMB low PSCC, but was present in 7.5% in the TMB 10-19 and 11.8% in the TMB very high cases. gLOH levels above 16% were similar in all 3 groups and ranged from 6.2 to 9.4%. GA associated with differences in TMB status in the PSCC cases included higher PIK3CA GA in TMB 10-19 (40.0%) vs TMB low (18.3%; p=.035) and TMB very high (66.7%) vs low (p=.0002). CDKN2A GA were higher in TMB low (45.7%) than the combined TMB 10-19 + very high (25.9%; p=.049). GA in KMT2D were higher in the combined TMB 10-19 + very high (29.3%) than TMB low (7.7%; p=0002). FGFR3 GA were similar in all 3 groups. In total, 6.5% of all GA were predicted to be of germline nature. The highest proportions of germline GA were seen for HRR genes ATM and CHEK2 (both 40%) and BRCA2 (37.5%) and PMS2 (40%) linked to Lynch syndrome. PD-L1 expression was not significantly different among the 3 groups with TMB low (78.3%), TMB 10-19 (64.2%) and TMB very high (54.5%). HPV identification was more frequent as TMB increased: 28.3% for TMB low, 50.0% for TMB high and 58.8% for TMB very high groups. Conclusions: The evaluation of PSCC by CGP based on TMB levels reveals significant differences in biomarkers for the near 15% of cases that have TMB ≥10 muts/Mb. TMB and MSI status can also serve as biomarkers of response to SOC anti-PD1 based on the current FDA indications. These data may be useful to provide rationale for inclusion of PSCC in basket or umbrella trials testing novel monotherapies or combination therapies.