he Cancer Genome Atlas project identified 2 groups of endometrioid endometrial cancers (ECs) with high mutation frequency: an ultramutated group (7% of all tumors) that harbored mutations in the exonuclease domain of polymerase e (POLE), and a hypermutated group (28% of tumors) with microsatellite instability (MSI), the majority of which harbored MLH1 promoter methylation. 1 The ultramutated POLE group exhibited an extremely high mutation rate (232 × 10 −6 mutations/Mb) with a unique nucleotide change spectrum of increased C→A transversion frequency, whereas the hypermutated MSI group exhibited mutation rates of 18 × 10 −6 mutations/Mb with variable length of DNA microsatellites due to an underlying deficiency in mismatch DNA repair. [1][2][3] Mismatch DNA repair deficiency induces singlebase mismatches that lead to point mutations in coding regions of genes, as well as insertions or deletions that lead to frame-shift mutations.It has been suggested that hypermutated tumors may harbor more tumor-specific neoantigens and increased amounts of tumor-infiltrating lymphocytes (TILs). 3-7 Therefore, we assessed whether POLE and MSI ECs harbor more neoantigens and TILs than the comparatively hypomutated microsatellitestable (MSS) ECs.
Methods
Prediction of HLA Type and Neoantigen LoadInference of HLA type was performed using the POLY-SOLVER (polymorphic loci resolver) tool. 5 For prediction of neoantigen load, the Sage Bionetworks' Synapse resource (https://www.synapse.org and Lawrence et al 8 ) and the Net-MHCpan tool (version 2.4) 9 were used (eMethods in the Supplement).IMPORTANCE Immune checkpoint inhibitor therapy has shown benefit in various cancers, but their potential in endometrial cancer (EC) is unknown.OBSERVATIONS Prediction of neoantigen load was performed using sequencing data from the Cancer Genome Atlas data set. Evaluation of tumor-infiltrating lymphocytes (TILs) and PD-1 and PD-L1 expression was performed in 63 patients with EC referred to our institution. The predicted median (range) neoantigen load (predicted neoepitopes per sample