Construction of Endometrial Carcinoma ceRNA Network and Screening of Key Genes Based on TCGA Database

Yuchun Song1, Ping Chu1, Pan Li1

  • 1Department of Gynecology and Obstetrics, Yantai Affiliated Hospital of Binzhou Medical University, Muping District, Yantai, Shandong 264100, China.

Abstract

Insights

This study identifies a novel long noncoding RNA (lncRNA)-microRNA (miRNA)-messenger RNA (mRNA) network in endometrial cancer. This network, including specific lncRNA, miRNA, and mRNA targets, offers potential biomarkers and therapeutic strategies for endometrial cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Long noncoding RNAs (lncRNAs) are increasingly recognized for their roles in human tumor development.
  • Understanding the complex regulatory networks involving lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) is crucial for advancing endometrial cancer research.

Purpose of the Study:

  • To elucidate the lncRNA-miRNA-mRNA regulatory network in endometrial cancer.
  • To identify potential diagnostic biomarkers and therapeutic targets within this network.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) data for miRNA, mRNA, and lncRNA expression profiling.
  • Employed differential expression analysis (DESeq2), ceRNA network construction, and bioinformatics tools (STRING, Cytoscape) for network and hub gene identification.
  • Validated key findings using the StarBase database and RT-qPCR.

Main Results:

  • Identified significant differential expression of 14 lncRNAs, 65 miRNAs, and 1119 mRNAs in endometrial cancer.
  • Constructed a ceRNA network revealing key regulatory interactions and identified 10 hub genes.
  • Discovered a specific lncRNA-miRNA-mRNA axis (CTD-2314B22, RP11-89K21/hsa-miR-143, hsa-miR-424/LEFTY1, LIN28A, LHX3, ST8SIA3, CEP55) associated with endometrial cancer progression and patient survival.

Conclusions:

  • The identified lncRNA-miRNA-mRNA network provides novel insights into endometrial cancer pathogenesis.
  • Specific components of this network, such as the CTD-2314B22/hsa-miR-424/LEFTY1 axis, represent promising biomarkers and therapeutic targets for endometrial cancer.

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