Unknown

Dataset Information

0

L1CAM further stratifies endometrial carcinoma patients with no specific molecular risk profile.


ABSTRACT:

Background

The newly developed Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) has consistently been shown to be prognostically significant in endometrial carcinomas (EC). Recently, we and others have demonstrated L1 cell-adhesion molecule (L1CAM) to be a significant indicator of high-risk disease in EC. In the current study, it was our aim to determine the prognostic significance of aberrant L1CAM expression in ProMisE subgroups in a large, single centre, population-based EC cohort.

Methods

ProMisE (POLE; MMR-D; p53 wt/NSMP; p53 abn) classification results from a cohort of 452 EC were available for analysis. L1CAM expression was studied by immunohistochemistry on whole slides. Correlations between clinicopathological data and survival were calculated.

Results

Expression of L1CAM was most frequent in p53 abnormal tumours (80%). L1CAM status was predictive of worse outcome among tumours with no specific molecular profile (p53 wt/NSMP) (p?ConclusionL1CAM status was able to significantly stratify risk among tumours of the large p53 wt/NSMP ProMisE subgroup of EC. Furthermore, our study confirms a highly significant correlation between mutation-type p53 immunostaining and abnormal L1CAM expression in EC.

SUBMITTER: Kommoss FK 

PROVIDER: S-EPMC6134076 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Background</h4>The newly developed Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) has consistently been shown to be prognostically significant in endometrial carcinomas (EC). Recently, we and others have demonstrated L1 cell-adhesion molecule (L1CAM) to be a significant indicator of high-risk disease in EC. In the current study, it was our aim to determine the prognostic significance of aberrant L1CAM expression in ProMisE subgroups in a large, single centre, population  ...[more]

Similar Datasets

| S-EPMC9658459 | biostudies-literature
| S-EPMC9321598 | biostudies-literature
| S-EPMC9325179 | biostudies-literature
| S-EPMC10512642 | biostudies-literature
| S-EPMC3626534 | biostudies-literature
| S-EPMC8489141 | biostudies-literature
| S-EPMC9541547 | biostudies-literature
| S-EPMC8607249 | biostudies-literature
| S-EPMC5031726 | biostudies-literature
| S-EPMC8319067 | biostudies-literature