Triple-high expression of phosphatase and tensin homolog (PTEN), estrogen receptor (ER) and progesterone receptor (PR) may predict favorable prognosis for patients with Type I endometrial carcinoma

12Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

Endometrial carcinoma (EC) is the most common malignant tumors in female derived from the endometrial epithelium. Several previous studies have described estrogen receptors (ER), progesterone Receptor (PR) and phosphatase and tensin homolog (PTEN) are associated with clinicopathological factors and prognosis in EC patients. However, during EC patients follow-up, we found that some EC patients with down-regulation of PTEN, but up-regulation of ER or PR, and some EC patients with down-regulation of ER or PR, but up-regulation of PTEN also had a poor prognosis. Therefore, to reveal the prognosis of EC patients with different phenotypes based on PTEN, ER and PR expression, 120 cases formalin-fixed paraffin-embedded EC tissues and 543 cases uterine corpus endometrial carcinoma (UCEC) patients from the cancer genome atlas (TCGA) UCEC datasets were analyzed. Results showed that EC tissues can be classified to PTENLERLPRL, PTENHERLPRL, PTENHERHPRH, PTENLERHPRH, PTENHERHPRL, PTENHERLPRH, and PTENLERHPRL phenotypes basing on IHC analysis. Additionally, EC patients with PTENLERLPRL showed high malignancy, while patients with PTENHERHPRH showed low malignancy. Therefore, combined detection of PTEN, ER, PR may help identify a small subset of EC with more aggressive behavior and may aid in risk stratification.

Cite

CITATION STYLE

APA

Liang, Y., Lin, B., Ye, Z., Chen, S., Yu, H., Chen, C., … Zeng, J. (2020). Triple-high expression of phosphatase and tensin homolog (PTEN), estrogen receptor (ER) and progesterone receptor (PR) may predict favorable prognosis for patients with Type I endometrial carcinoma. Journal of Cancer, 11(6), 1436–1445. https://doi.org/10.7150/jca.33720

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free