CD274 and neoplasm: Tumor mutational burden (TMB)-based classifiers, developed using support vector machine recursive feature elimination (SVM-RFE) and LASSO logistic regression, have also been employed to predict the efficacy of PD-L1 inhibitors in patients with locally advanced or metastatic urothelial carcinoma (6).