Circular RNA hsa_circ_0002360 Promotes Proliferation and Invasion and Inhibits Oxidative Stress in Gastric Cancer by Sponging miR-629-3p and Regulating the PDLIM4 Expression

Author:

Yu Zhengyuan1,Lan Jing2,Li Wei1,Jin Li3,Qi Feng4,Yu Chen5ORCID,Zhu Hao6ORCID

Affiliation:

1. Department of Medical Oncology, The First Affiliated Hospital of Soochow University, No. 188, Shizi Street, Gusu District, Suzhou 215006 Jiangsu, China

2. Department of General Surgery, The First Affiliated Hospital of Soochow University, No. 188, Shizi Street, Gusu District, Suzhou 215006 Jiangsu, China

3. Department of Radiotherapy, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Renmin South Road, 610041 Chengdu, Sichuan, China

4. Department of Pharmacy, The Fourth Affiliated Hospital of Nantong University, Yancheng City No. 1 Peoples' Hospital, Yancheng, 224006 Jiangsu, China

5. Department of Integrated TCM & Western Medicine, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China

6. Department of Traditional Chinese Medicine, The First Affiliated Hospital of Soochow University, No. 188, Shizi Street, Gusu District, Suzhou 215006 Jiangsu, China

Abstract

Many studies have found that circRNA hsa_0002360 (circ0002360) plays an important role in cancer onset and progression. However, its role in gastric cancer (GC) remains uncertain. Circ0002360 was found to be upregulated in GC cells using QRT-PCR. Furthermore, miR-629-3p, a target miRNA of circ0002360, was the most suppressed miRNA following circ0002360 overexpression. RNA immunoprecipitation (RIP), dual-luciferase reporter analyses, clone formation, transwell, DCFH-DA, and ELISA assays demonstrated that circ0002360-targeted miR-629-3p promotes cell proliferation and migration while inhibiting oxidative stress. GC-related mRNA microarrays from the GEO and TCGA databases, including GSE103236, GSE79973, GSE33429, GSE22804, GSE84437, and TCGA-STAD datasets, were used to find hub biomarkers between normal and gastric cancer samples. WGCNA and uni-Cox analysis were used to identify 27 survival-related risk genes, which were then used to build a risk model for prognosis prediction. Following that, all patients from the GSE84437 and TCGA-STAD datasets with 27 survival-related genes and enough data on survival status and time were randomly assigned to train ( n = 433 ) and test ( n = 375 ) cohorts. Furthermore, ROC and Kaplan-Meier (KM) analyses were used to validate the risk model for both cohorts. randomForest analysis indicated that PDLIM4 was the target gene of miR-629-3p, whose level was increased by circ0002360 but reversed by miR-629-3p mimics. Finally, this study confirmed that circ0002360 sponged miR-629-3p and then upregulated PDLIM4 expression. As a result, circ0002360 may be a useful marker for predicting GC prognosis and an anti-GC treatment target.

Publisher

Hindawi Limited

Subject

Cell Biology,Aging,General Medicine,Biochemistry

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