ArticleOncoTargets and therapy2021
Construction and Analysis of a circRNA-Mediated ceRNA Network in Lung Adenocarcinoma.
Article in OncoTargets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- [Research Progress on the Role and Mechanisms of PYCR1 in Tumorigenesis and Progression].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Comprehensive analysis of a machine learning prognostic model for the interaction between mitochondrial function and lactylation in lung adenocarcinoma.Discover oncology · 2025Article
- Circ_BLNK is a Unique Molecular Marker in Non-small Cell Lung Cancer.Biochemical genetics · 2025Article
- Live bacteria found in gastric cancer tumor tissue.Frontiers in microbiology · 2025Article
- Competing endogenous RNA networks in ovarian cancer: from bench to bedside.EXCLI journal · 2025Review
- Cirscan: a shiny application to identify differentially active sponge mechanisms and visualize circRNA-miRNA-mRNA networks.BMC bioinformatics · 2024Article
- Exploring tumor-normal cross-talk with TranNet: Role of the environment in tumor progression.PLoS computational biology · 2023Article
- Exploring the Molecular Players behind the Potentiation of Chemotherapy Effects by Durvalumab in Lung Adenocarcinoma Cell Lines.Pharmaceutics · 2023Article
- Exploring tumor-normal cross-talk with TranNet: role of the environment in tumor progression.bioRxiv : the preprint server for biology · 2023Article
- Landscape of circular RNAs in different types of lung cancer and an emerging role in therapeutic resistance (Review).International journal of oncology · 2023Article
- LINC02126 is a potential diagnostic, prognostic and immunotherapeutic target for lung adenocarcinoma.BMC pulmonary medicine · 2022Article
- Activation of circ_0072088/miR-1261/PIK3CA pathway accelerates lung adenocarcinoma progression.Thoracic cancer · 2022Article
- Characterization of Cell Cycle-Related Competing Endogenous RNAs Using Robust Rank Aggregation as Prognostic Biomarker in Lung Adenocarcinoma.Frontiers in oncology · 2022Article
- Therapeutic prospects of ceRNAs in COVID-19.Frontiers in cellular and infection microbiology · 2022Review
- Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma.Frontiers in genetics · 2022Article
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8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCircular RNAs (circRNAs), a new class of regulatory noncoding RNAs, are involved in gene regulation and may play a role in cancer development. The aim of this study was to identify circRNAs involved in lung adenocarcinoma (LUAD) using bioinformatics analysis.
methodsCircRNA (GSE101684, GSE101586), miRNA (GSE135918), and mRNA (GSE130779) microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed circRNAs (DECs), miRNAs (DEMs), and mRNAs (DEGs) in LUAD. Circinteractome and StarBase were used to predict miRNAs and mRNAs, respectively. A circRNA-miRNA-mRNA-ceRNA network was constructed. Patient survival was analyzed using UALCAN, and a sub-network was established. Real-time quantitative PCR (qRT-PCR) was used to verify the expressed of DECs between LUAD tissues and paired adjacent normal tissues.
resultsHsa_circ_0072088 was identified as a differentially expressed (upregulated) circRNA in the two datasets. Intersection analysis identified hsa-miR-532-3p and hsa-miR-942 as the two miRNAs with the highest potential for binding to hsa_circ_0072088. Differential expression analysis and target gene prediction were performed to build a ceRNA network of hsa_circ_0072088 using Circinteractome/StarBase 3.0. Intersection analysis showed that TMEM52, IL24, POF1B, KIF1A, NHS, LBH, HIST2H2BE, ABCC3, PYCR1, CD79A, IGF2BP3, ANKRD17, GTSE1, MKI67, CLSPN, PLAU, LUC7L, MAGIX, GPATCH4, and ABAT were potential downstream mRNAs. The association between the expression level of 20 DEGs and LUAD patient survival was analyzed using UALCAN and GEPIA, which showed that IGF2BP3, MKI67, CD79A, and ABAT were related to patient survival. Hsa_circ_0072088 was verified upregulated by qRT-PCR.
conclusionThe circRNA hsa_circ_0072088, the DEMs (hsa-miR-532-3p and hsa-miR-942-5p), and the DEGs (IGF2BP3, MKI67, CD79A, and ABAT) may serve as prognostic markers in LUAD.
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