Two kinds of endometrial neoplasia arising from different origins in the uterine corpus: comparison of p53 expression and sex steroid receptor status

Identification of prognostically relevant and reproducible subsets of endometrial adenocarcinoma based on clustering analysis of immunostaining data

Panels of immunomarkers can provide greater information than single markers, but the problem of how to optimally interpret data from multiple immunomarkers is unresolved. We examined the expression profile of 12 immunomarkers in 200 endometrial carcinomas using a tissue microarray. The outcomes of groups of patients were analyzed by using the Kaplan-Meier method, using the log-rank statistic for comparison of survival curves. Correlation between clustering results and traditional prognosticators of endometrial carcinoma was examined by either Fisher's exact test or chi2-test. Multivariate analysis was performed using a proportional hazards method (Cox regression modeling). Seven of the 12 immunomarkers studied showed prognostic significance in univariate analysis (P<0.05) and 1 marker showed a trend toward significance (P=0.06). These eight markers were used in unsupervised hierarchical clustering of the cases, and resulted in identification of three cluster groups. There was a statistically significant difference in patient survival between these cluster groups (P=0.0001). The prognostic significance of the cluster groups was independent of tumor stage and patient age on multivariate analysis (P=0.014), but was not of independent significance when either tumor grade or cell type was added to the model. The cluster group designation was strongly correlated with tumor grade, stage, and cell type (P<0.0001 for each). Interlaboratory reproducibility of subclassification of endometrial adenocarcinoma by hierarchical clustering analysis was verified by showing highly reproducible assignment of individual cases to specific cluster groups when the immunostaining was performed, interpreted, and clustered in a second laboratory (kappa=0.79, concordance rate=89.6%). Unsupervised hierarchical clustering of immunostaining data identifies prognostically relevant subsets of endometrial adenocarcinoma. Such analysis is reproducible, showing less interobserver variability than histopathological assessment of tumor cell type or grade.

Increasing 14-3-3 sigma expression with declining estrogen receptor alpha and estrogen-responsive finger protein expression defines malignant progression of endometrial carcinoma

14-3-3 sigma (sigma) is a negative regulator of the cell cycle and contributes to G2 arrest. Lack of its expression due to hypermethylation of CpG islands has been reported in some carcinomas. A recent study showed that 14-3-3 sigma was down-regulated through proteolysis by estrogen-responsive finger protein (Efp). Here, we investigated the expression of 14-3-3 sigma, hormone receptors, Efp and p53 in 86 cases of endometrial adenocarcinoma and 46 cases of normal or non-neoplastic endometria by means of immunohistochemistry and methylation-specific polymerase chain reaction. In normal endometrium, 14-3-3 sigma was overexpressed in the mid- to late-secretory phase due to hypomethylation. In endometrial adenocarcinoma, 14-3-3 sigma expression was low in low grade endometrioid adenocarcinoma due to hypermethylation, and increased significantly with increasing histological grade due to hypomethylation. 14-3-3 sigma expression inversely correlated with estrogen receptor alpha, progesterone receptor and Efp, and positively correlated with myometrial invasion and lymph node metastasis. These results suggest that 14-3-3 sigma was one of the menstrual cycle-related proteins regulated by epigenetic methylation, and its expression was influenced by epigenetic methylation or hormone receptors in progression of endometrial adenocarcinoma, and therefore was more than just a cell-cycle regulator.