Evidence map›Paper›PMID 40211126›Full record

ArticleBiological procedures online2025

Construction of a circRNA-miRNA-mRNA Regulatory Network for the Immune Regulation of Lung Adenocarcinoma.

Hanyi Li, Xin Jin, Wei Li, Fan Ren, Tong Li, Xuanguang Li, Haochuan Yu, Dianxun Fu, Zuoqing Song, Song Xu

Abstract read
In one paragraph

Article in Biological procedures online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hanyi Li *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Xin Jin *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Wei Li *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Fan RenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Tong LiDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Xuanguang LiDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Haochuan YuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Dianxun FuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Zuoqing SongDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China. thoracic_expert@aliyun.com.
Song XuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China. xusong198@hotmail.com.

Funding

National Natural Science Foundation of China 82172776Tianjin Health Research Project TJWJ2023XK005Tianjin Science and Technology Plan Project 24ZXGZSY00010
6 · The paper itself

Abstract

backgroundRecent research has highlighted the significance of circular RNAs (circRNAs) as pivotal regulators in the progression of tumors and the therapeutic response in non-small cell lung cancer (NSCLC). These circRNAs function through a sponge mechanism, interacting with microRNAs (miRNAs) to modulate mRNA expression levels. Nevertheless, the precise role of the circRNA-miRNA-mRNA regulatory network in immune regulation within lung adenocarcinoma (LUAD) remains inadequately understood. METHODS AND MATERIALS: We utilized microarray datasets from the GEO NCBI database (GSE101586) to identify differentially expressed circRNAs (DEcircRNAs) in LUAD. CircBank was employed to predict the target miRNAs of DEcircRNAs, which were subsequently intersected with miRNAs from the GSE36681 database. The identified miRNAs were then predicted to target mRNAs using miRDB and miWalk, and intersections with immune-related genes from the IMMPORT database were analyzed. Protein-protein interaction (PPI) networks were constructed using Cytoscape software. The DAVID functional annotation tool was utilized to explore potential biological processes, molecular functions, and KEGG pathways associated with LUAD. Gene expression and Kaplan-Meier survival analyses were conducted to establish a key regulatory network and to assess immune cell infiltration and Pearson correlation for significant target genes. Finally, we selected the most significantly upregulated circRNA with differential expression for validation through in vitro experiments.

resultsOur analysis identified a total of 7 upregulated and 42 downregulated circRNAs, along with 10 significant miRNAs and 20 target mRNAs. KEGG enrichment analysis indicated that these components are primarily enriched in the ErbB signaling pathway. Furthermore, Gene Ontology (GO) analysis revealed significant enrichment in responses to organic substances, cytokine-mediated signaling pathways, cellular responses to cytokines, responses to chemical stimuli, steroid hormone receptor activity, ErbB-3 class receptor binding, oxysterol binding, signal receptor activity, and molecular transducer activity. Notable core mRNAs identified included OAS1, VIPR1, and PIK3R1. Subsequently, we constructed a regulatory network comprising 6 DEcircRNAs, 3 DEmiRNAs, and 3 DEmRNAs. Through ssGSEA and CIBERSORT analyses, we observed significant differences in immune cell infiltration levels between the NSCLC cohort and the control group. Knocking down the expression of hsa_circ_0079557 significantly inhibited the viability, proliferation, migration, and invasion of LUAD cells.

conclusionWe have established a circRNA-miRNA-mRNA regulatory network that offers novel insights into the molecular mechanisms governing immune regulation in LUAD. Future research should aim to translate these findings into clinical applications to enhance patient outcomes.

Indexed as

Circular RNAImmune infiltrationLung adenocarcinomaPrognosis

Identifiers

PMID40211126
PMCPMC11983969

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