Evidence map›Paper›PMID 42363465›Full record

ArticleMedicine2026

Screening of biomarkers related to lung adenocarcinoma based on construction of ceRNA regulation network.

Chongyang Niu, Xiaoyu Meng, Chengbo Yuan, Xuelian Sun, Tan Wang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chongyang NiuChangchun University of Chinese Medicine, Changchun, Jilin Province, China.
Xiaoyu MengPediatric Center, The Third Affiliated Hospital of Changchun University Chinese Medicine, Changchun, Jilin Province, China.
Chengbo YuanPediatric Center, The Third Affiliated Hospital of Changchun University Chinese Medicine, Changchun, Jilin Province, China.
Xuelian SunLung Disease Center, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin Province, China.
Tan WangLung Disease Center, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin Province, China.ORCID 0009-0003-1801-7417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is a common malignant tumor with a poor prognosis and limited effective therapeutic targets. The underlying molecular regulatory mechanisms driving its progression remain largely unclear. The study objectives were to build a circRNA-miRNA-mRNA ceRNA regulation network of LUAD and to identify miRNAs and mRNAs significantly related to the prognosis .

methodsThe gene expression data and GSE101684 were downloaded from the UCSC Xene and NCBI-GEO databases, respectively. The differentially expressed RNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs; DERs) were obtained by the Limma package in R. Then, the differential LUAD-related genes were identified, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the differential LUAD-related genes were analyzed. Moreover, the circRNA-miRNA-mRNA ceRNA network of LUAD was built. The Kaplan-Meier (K-M) survival curve analysis of ceRNA network nodes was performed. In addition, the proliferation-related ceRNA network was built.

resultsA total of 382 DEcircRNAs, 1907 DEmRNAs and 156 DEmiRNAs were acquired. A total of 245 differential LUAD-related genes were acquired, which were significantly associated with 189 GO biological processes (BP) and 17 KEGG pathways. Moreover, the ceRNA network of LUAD was built. The K-M survival curve analysis of ceRNA network nodes revealed that a total of 2 miRNAs (hsa-miR-96-5p and hsa-miR-125b-2-3p) and 22 mRNAs (CGNL1, CTHRC1, TK1, etc) were significantly related to the prognosis. mRNAs were significantly enriched in 92 GO BPs (such as cell division, cell adhesion) and 9 KEGG pathways (such as cell cycle, HTLV-1 infection). In addition, the proliferation-related ceRNA network was built.

conclusionThis research built a ceRNA regulation network of LUAD and is of great significance for identifying biomarkers related to the prognosis in LUAD.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorGene Regulatory NetworksLung NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsPrognosisRNA, CircularRNA, Competitive EndogenousRNA, MessengerBiomarkers, TumorMicroRNAsRNA, CircularRNA, Competitive EndogenousRNA, MessengerceRNA networklung adenocarcinomaprognosis

Identifiers

PMID42363465
PMCPMC13313727

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.