ArticleFrontiers in oncology2022
Identification of a dysregulated CircRNA-associated gene signature for predicting prognosis, immune landscape, and drug candidates in bladder cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Hypoxia-Induced TGFBI Promotes Bladder Cancer Progression by Creating a Stemness Regulation Loop through Stabilizing the Disulfide Bonds of GDF15.Research (Washington, D.C.) · 2026Article
- Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks.Scientific reports · 2025Article
- CircRNAs in colorectal cancer: potential roles, clinical applications, and natural product-based regulation.Frontiers in oncology · 2025Review
- Non-coding RNAs in disease: from mechanisms to therapeutics.Nature reviews. Genetics · 2024Review
- Circular RNA CCT3 is a unique molecular marker in bladder cancer.BMC cancer · 2023Article
- Identifying stage-associated hub genes in bladder cancer via weighted gene co-expression network and robust rank aggregation analyses.Medicine · 2022Article
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidences have demonstrated that circular RNA (circRNAs) plays a an essential regulatory role in initiation, progression and immunotherapy resistance of various cancers. However, circRNAs have rarely been studied in bladder cancer (BCa). The purpose of this research is to explore new circRNAs and their potential mechanisms in BCa. A novel ceRNA-regulated network, including 87 differentially expressed circRNAs (DE-circRNAs), 126 DE-miRNAs, and 217 DE-mRNAs was constructed to better understanding the biological processes using Cytoscape 3.7.1 based on our previously high-throughput circRNA sequencing and five GEO datasets. Subsequently, five randomly selected circRNAs (upregulated circ_0001681; downregulated circ_0000643, circ_0001798, circ_0006117 and circ_0067900) in 20 pairs of BCa and paracancerous tissues were confirmed using qRT-PCR. Functional analysis results determined that 772 GO functions and 32 KEGG pathways were enriched in the ceRNA network. Ten genes (PFKFB4, EDNRA, GSN, GAS1, PAPPA, DTL, TGFBI, PRSS8, RGS1 and TCF4) were selected for signature construction among the ceRNA network. The Human Protein Atlas (HPA) expression of these genes were consistent with the above sequencing data. Notably, the model was validated in multiple external datasets (GSE13507, GSE31684, GSE48075, IMvigor210 and GSE32894). The immune-infiltration was evaluated by 7 published algorithms (i.e., TIMER, CIBERSORT, CIBERSORT-ABS, QUANTISEQ, MCPCOUNTER, XCELL and EPIC). Next, Correlations between riskscore or risk groups and clinicopathological data, overall survival, recognized immunoregulatory cells or common chemotherapeutic agents of BCa patients were performed using wilcox rank test, chi-square test, cox regression and spearman's correlation analysis; and, these results are significant. According to R package "GSVA" and "clusterProfiler", the most significantly enriched HALLMARK and KEGG pathway was separately the 'Epithelial Mesenchymal Transition' and 'Ecm Receptor Interaction' in the high- vs. low-risk group. Additionally, the functional experiments
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