ArticleCell journal2020
Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.
Article in Cell journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- The identification of N6-methyladenosine-related miRNAs predictive of hepatocellular carcinoma prognosis and immunotherapy efficacy.Cancer biomarkers : section A of Disease markers · 2023Pooled it
- Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer's disease by meta-analysis and adaptive boosting ensemble learning.Alzheimer's research & therapy · 2021Pooled it
- "What really works for us?" exploring therapeutic strategies for non-small cell lung cancer: an umbrella review of systematic reviews and meta-analyses.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Plasma exosomal miR-122-5p_R-1, miR-23b-3p_R + 1, and miR-15a-5p_R-1 are associated with multidrug-resistant tuberculosis.BMC infectious diseases · 2025Article
- Identification of the ferroptosis-related gene signature and the associated regulation axis in lung cancer and rheumatoid arthritis.Genes and immunity · 2024Article
- Gene Expression Profile Identifies LncRNA AL355974.3 As a Potential Glioma Biomarker.Current medical science · 2024Article
- CEP20 promotes invasion and metastasis of non-small cell lung cancer cells by depolymerizing microtubules.Scientific reports · 2023Article
- Loss of Key EMT-Regulating miRNAs Highlight the Role of ZEB1 in EGFR Tyrosine Kinase Inhibitor-Resistant NSCLC.International journal of molecular sciences · 2023Article
- HMGA1 gene expression level in cancer tissue and blood samples of non-small cell lung cancer (NSCLC) patients: preliminary report.Molecular genetics and genomics : MGG · 2022Article
- Application of Network Analysis to Uncover Variables Contributing to Functional Recovery after Stroke.Brain sciences · 2022Article
- Prognostic Significance ofInternational journal of molecular sciences · 2022Article
- LINC00152 knockdown suppresses tumorigenesis in non-small cell lung cancer via sponging miR-16-5p.Journal of thoracic disease · 2022Article
- Upregulated miRNAs on theFrontiers in genetics · 2022Article
- Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19.Frontiers in pharmacology · 2022Article
- LncRNA MEG8 promotes NSCLC progression by modulating the miR-15a-5p-miR-15b-5p/PSAT1 axis.Cancer cell international · 2021Article
- Article
- Identification of a Potentially Functional microRNA-mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis.Frontiers in cell and developmental biology · 2021Article
- Identification of Antitumor Constituents in Toad Venom by Spectrum-Effect Relationship Analysis and Investigation on Its Pharmacologic Mechanism.Molecules (Basel, Switzerland) · 2020Article
- Exosomal microRNAs are novel circulating biomarkers in cigarette, waterpipe smokers, E-cigarette users and dual smokers.BMC medical genomics · 2020Article
- MicroRNA expression integrated analysis and identification of novel biomarkers in small cell lung cancer: a meta-analysis.Translational cancer research · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveLung cancer has high incidence and mortality rate, and non-small cell lung cancer (NSCLC) takes up approximately 85% of lung cancer cases. This study is aimed to reveal miRNAs and genes involved in the mechanisms of NSCLC. MATERIALS AND
methodsIn this retrospective study, GSE21933 (21 NSCLC samples and 21 normal samples), GSE27262 (25 NSCLC samples and 25 normal samples), GSE43458 (40 NSCLC samples and 30 normal samples) and GSE74706 (18 NSCLC samples and 18 normal samples) were searched from gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) were screened from the four microarray datasets using MetaDE package, and then conducted with functional annotation using DAVID tool. Afterwards, protein-protein interaction (PPI) network and module analyses were carried out using Cytoscape software. Based on miR2Disease and Mirwalk2 databases, microRNAs (miRNAs)-DEG pairs were selected. Finally, Cytoscape software was applied to construct miRNA-DEG regulatory network.
resultsTotally, 727 DEGs (382 up-regulated and 345 down-regulated) had the same expression trends in all of the four microarray datasets. In the PPI network, TP53 and FOS could interact with each other and they were among the top 10 nodes. Besides, five network modules were found. After construction of the miRNA-gene network, top 10 miRNAs (such as
conclusionThese miRNAs and genes might contribute to the pathogenesis of NSCLC.
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Registered trials
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.