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ERRγ, a Novel Biomarker, Associates with Pathoglycemia of Endometrial Cancer to Predict Myometrial Invasion.

Authors :
Tong, Yao
Huang, Meimei
Chen, Lili
Lei, Huifang
Lin, Hao
Mao, Xiaodan
Sun, Pengming
Source :
Journal of Oncology; 6/21/2022, p1-11, 11p
Publication Year :
2022

Abstract

We aim to investigate the correlation between the expression of estrogen-related receptor γ (ERRγ) and endometrial cancer (EC) progression and to evaluate the potential of ERRγ as a new biomarker for EC diagnosis. We analyzed the ERRγ expression profile and the correlation with the corresponding clinical characteristics of EC samples from The Cancer Genome Atlas (TCGA), the Clinical Proteomic Tumor Analysis Consortium (CPTAC) databases, and the International Cancer Genome Consortium (ICGC) databases. Immunohistochemical (IHC) analysis was conducted on tissue samples, and enzyme linked immunosorbent assay (ELISA) was used in serum samples to detect the levels of ERRγ. The diagnostic performance of ERRγ proteins was assessed using the receiver operating characteristic (ROC). ERRγ showed notably higher expression in EC tissues than in normal endometrium tissues (P < 0.001), which was consistent with the result of TCGA. Overexpression of ERRγ was significantly associated with deep myometrial invasion of EC (P = 0.004), and fasting blood glucose (FBG) was higher in EC patients with deep myometrial invasion than in those with superficial myometrial invasion (P = 0.040). Further analysis using ELISA showed that the serum ERRγ level was positively correlated with FBG (R = 0.355, P < 0.001). ERRγ is overexpressed in EC and may be involved in regulating glucose metabolism and promoting myometrial invasion of EC. In addition, the area under the ROC curve (AUC) for ERRγ was 0.834, in distinguishing EC patients from healthy individuals, presented 84.0% and 80.0% sensitivity and specificity, respectively, and serum ERRγ has a good diagnostic performance in distinguishing EC patients from healthy people and may be a promising noninvasive biomarker in EC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16878450
Database :
Complementary Index
Journal :
Journal of Oncology
Publication Type :
Academic Journal
Accession number :
157684298
Full Text :
https://doi.org/10.1155/2022/5283388