Although all characteristics were statistically significant in univariable analysis, multivariate regression only revealed that higher IF (IF >20 vs. IF <5, p < 0.001), specific tumor type (lung vs. pan cancer, p = 0.018; urinary system vs. pan cancer, p = 0.021), and a certain kind of immune checkpoint blocking agent (anti-PD-1 vs. anti-CTLA-4, p < 0.001; multiagents vs. anti-CTLA-4, p < 0.001) were independent predictors of higher TRIOQS. Here, CTLA4 is linked to neoplasm.