Identifying prognostic biomarkers in endometrial carcinoma based on ceRNA network

Abstract

Purpose Endometrial carcinoma (EC), a common gynecological malignancy with high incidence, affects the mental and physical health of women. Mounting evidence shows that long noncoding RNAs (lncRNAs), messenger RNAs (mRNAs), and microRNAs (miRNAs) have instrumental roles in various biological processes associated with the pathogenesis of EC. In this research, we intend to further study the mechanism of EC and the potential predictive markers of EC. Methods First, we obtained original data of EC RNA transcripts from The Cancer Genome Atlas database and performed differential analysis. Subsequently, according to the miRcode online software, relationship pairs of lncRNA‐miRNA were constructed, and miRNA‐mRNA pairs were established based on miRDB, TargetScan, and miRTarBase. Then, we constructed the competing endogenous RNA (ceRNA) network based on lncRNA‐miRNA and miRNA‐mRNA pairs. To further explain the function of the ceRNA network and explore the potential prognostic markers, functional enrichment analysis, and survival analysis were carried out. Results The research showed that there were 744 differential expression lncRNAs (DElncRNAs), 164 differential expression miRNAs (DEmiRNAs), and 2447 differential expression mRNAs (DEmRNAs) between EC tissues and normal tissues. Subsequently, we built 103 DEmiRNA‐DEmRNA interaction pairs and 369 DElncRNA‐DEmiRNA pairs. Then, we established the ceRNA network of EC, including 62 DElncRNAs, 26 DEmiRNAs, and 70 DEmRNAs. Moreover, 10 of 62 lncRNAs, 19 of 70 mRNAs, and 4 of 26 miRNAs that closely related to the survival of EC with P < .05 were obtained. Notably, based on this network, it was found that LINC00261‐hsa‐mir‐31 pair and LINC00261‐hsa‐mir‐211 target pairs could be used as the potential prognostic markers of EC. Conclusion This research recommended an available basis for the molecular mechanism of EC and prognosis prediction, which could help guide the subsequent treatments and predict the prognosis for patients with EC.

LINC00261 Is Differentially Expressed in Pancreatic Cancer Subtypes and Regulates a Pro-Epithelial Cell Identity

“…Furthermore, they showed that overexpression of LINC00261 reduced β-catenin and TCF4 expression and simultaneously increased E-cadherin, which is a TCF4 downstream target. In addition, other studies suggested that LINC00261 might act as a sponge for several miRNAs, as it was found in several comprehensive analyses of ceRNA networks in different types of cancer [73][74][75]. However, stringent experimental evidence that would clearly support a ceRNA function of LINC00261 is still lacking.…”

MicroRNA as Epigenetic Modifiers in Endometrial Cancer: A Systematic Review

“…In our previous study, we highlighted a potential prognostic role for miR-205. Since then, Zhao et al have reported that miR-205 is closely related to overall survival using the Cancer Genome Atlas database that includes 164 miRNAs implicated in EC [42]. Donkers et al also observed that miR-205 is consistently upregulated in EC.…”

Ultrasound‐based risk model for preoperative prediction of lymph‐node metastases in women with endometrial cancer: model‐development study

“…Molecular markers offer the advantage of objective results, as they are based on the presence or the absence of a protein or mutation. They have been used in endometrial cancer to improve sub classification [109][110][111][112][113][114][115] , to detect prognostic subgroups [116][117][118][119][120][121][122] , in risk prediction models [123][124][125][126] and in individualized therapy 127 .…”