The lncRNA UCA1 Enhances Pancreatic Cancer EMT by  Regulating miR-708-5p and miR-135b-5p: A Bioinformatics Approach

Nahid  Askari; Marziye Shad  Pirouz; Vida  Mafikandi; Morteza  Hadizadeh; Seyedeh Zahra  Mousavi

doi:10.18502/ijph.v53i7.16060

Nahid Askari Department of Biotechnology, Institute of Sciences and High Technology and Environmental Sciences, Graduate University of Ad-vanced Technology, Kerman, Iran
Marziye Shad Pirouz Laboratory of Complex Biological Systems and Bioinformatics (CBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
Vida Mafikandi Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, Tabriz, Iran
Morteza Hadizadeh Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
Seyedeh Zahra Mousavi Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

DOI: https://doi.org/10.18502/ijph.v53i7.16060

Keywords: Pancreatic cancer; Long noncoding RNA (lncRNA); Epithelial-mesenchymal transition (EMT); Biomarker

Abstract

Background: Pancreatic cancer (PC) is an exceedingly malignant ailment that is not only characterized by its insidious onset and rapid progression but also by its poor therapeutic effects. Recently, emerging evidence has shed light on the significant role that non-coding RNAs (ncRNAs), particularly long ncRNAs (lncRNAs) and microRNAs (miRNAs), play in the pathogenesis of PC. This investigation aimed to construct a network of interactions between miRNAs, lncRNAs, and mRNAs, as well as to perform correlation analyses in the context of PC.

Methods: This study carried out in Kerman City, southeastern Iran in 2023. We utilized the GSE119794 dataset from the Gene Expression Omnibus (GEO) to analyze differentially expressed lncRNAs (DE-lncRNAs), miRNAs (DE-miRNAs), and mRNAs (DE-mRNAs). Following the identification of the DE-lncRNAs, DE-mRNAs, and DE-miRNAs, we proceeded to examine differentially expressed epithelial-mesenchymal transition (EMT) genes. Subsequently, we utilized the RNAInter database to predict interactions among lncRNAs, miRNAs, and mRNAs. Finally, we employed Cytoscape to visualize and analyze the constructed network.

Results: 14 DE-lncRNAs, 14 DE-miRNAs, 545 DE-mRNAs, and 65 DE-EMT from pancreatic cancer and its adjacent tissue RNA-Seq data were identified. 1184 EMT genes from dbEMT were obtained, among which 65 DE-EMT were assigned as EMT genes and correlated with tumor progression. One functional lncRNA (UCA1) was identified as a key functional lncRNA. The area under the ROC curve (AUC) of UCA1 and miR-708-5p were 0.79 and 0.86, respectively. Thus, it is reasonable to believe that this prognostic risk model helps predict PC metastasis.

Conclusion: UCA1 is a new lncRNA linked with EMT in PC and contributes to a better knowledge of the regulatory mechanisms related to lncRNAs in PC.