Yi-Kyeong Chun

Clinicopathologic significance of mismatch repair protein expression in endometrioid endometrial cancer

To evaluate the association between mismatch repair (MMR) protein expression and clinico-pathologic outcomes in patients with endometrioid endometrial cancer (EC). A retrospective review of the clinico-pathologic outcomes was performed on patients who were diagnosed with EC and had results of MMR protein immunohistochemistry. MMR-deficient (MMR-d) was defined as absence of expression in any of the 4 MMR proteins (MLH1, MSH2, MSH6, and PMS2). Demographics, pathologic variables, and survival outcomes were compared according to the MMR status. A total of 193 EC patients with available MMR expression data were included, of whom 163 patients had endometrioid type EC. Overall, 44 patients (27.0%) were classified as MMR-d. Compared with MMR-proficient (MMR-p) group, MMR-d group was associated with more frequent lymphovascular space invasion (LVSI, p = 0.001). MMR-d was also related with higher risk of lymph node (LN) metastasis in endometrioid type EC (p = 0.008), especially para-aortic LN metastasis. During the median follow-up period of 19.1 months (1-44.5), MMR-d group, especially MLH1/PMS2 subgroup, showed a tendency of reduced PFS (p = 0.036 and p = 0.008, respectively). On Cox regression analysis, however, LN metastasis remained as the only independent risk factor for PFS (p = 0.004) in endometrioid EC, and MLH1/PMS2 loss showed a marginally significant association (p = 0.054). Our findings of the associations between MMR deficiency and poor prognostic factors, such as LVSI and LN metastasis, may suggest the prognostic value of MMR status in EC and need further prospective validation studies.

Lymphocyte activation gene (LAG)-3 is a potential immunotherapeutic target for microsatellite stable, programmed death-ligand 1 (PD-L1)-positive endometrioid endometrial cancer

Immune checkpoint inhibitors have been widely used in the treatment of endometrial cancer (EC) with microsatellite instability-hypermutated (MSI-H). However, there is an unmet need for microsatellite stable (MSS) EC because of their modest activity. This study aimed to identify potential immune-related biomarkers in MSS EC. One hundred and twenty-three patients with EC who underwent hysterectomy were enrolled. MSI status was determined using MSI analysis and/or immunohistochemical staining for mismatch repair proteins. Immunohistochemical analysis of programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), PD-L2, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), cluster of differentiation 3 (CD3), CD8, lymphocyte activation gene-3 (LAG-3), indoleamine 2,3-dioxygenase 1 (IDO1), phosphatase and tensin homolog (PTEN), p53, AT-rich interactive domain-containing protein 1A (ARID1A), and β-catenin was performed using tissue microarray blocks. Among 123 patients, 95 (77.2%) were classified as having MSS. Within EC with MSS, PD-L1 positivity was significantly associated with positive PD-1 (p<0.001), CTLA-4 (p<0.001), CD3 (p=0.002), CD8 (p<0.001), and LAG-3 (p<0.001). In the univariate analysis, positive PD-1 (odds ratio [OR]=9.281; 95% confidence interval [CI]=2.560-33.653; p<0.001), CTLA-4 (OR=5.33; 95% CI=1.418-19.307; p=0.005), CD3 (OR=5.571; 95% CI=1.746-17.775; p=0.004), CD8 (OR=6.909; 95% CI=2.647-18.037; p<0.001), and LAG-3 (OR=9.75; 95% CI=1.947-48.828; p=0.005) were significantly associated with PD-L1 positivity in MSS EC. In the multivariate analysis, LAG-3 demonstrated a significant association with positive PD-L1 expression in MSS EC (OR=5.061; 95% CI=1.534-16.693; p=0.023). In patients with MSS EC harboring PD-L1, LAG-3 may be a potential immunotherapeutic target. Clinical trials investigating the role of anti-LAG-3 antibodies, alone or in combination with other immunotherapies, are warranted.

Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset

Recent studies have detailed the genomic landscape of endometrial cancer (EC); however, no study has focused on genetic alterations in advanced EC. We performed genomic profiling of patients with advanced EC using targeted next-generation sequencing (NGS). Archival tissue samples from 21 patients diagnosed with stage III and IV EC were obtained and subjected to NGS. Our data and the cancer genome atlas dataset were combined, and somatic mutation patterns were analyzed and compared according to the stage and histological type. Additionally, survival effects of specific mutated genes were analyzed. Somatic mutation patterns of 38 genes were identified in 263 EC samples, and the most commonly mutated genes were