ArticleMolecular medicine reports2019
Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA‑gene pairs in small‑cell lung cancer.
Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Exploring effective biomarkers and potential immune related gene in small cell lung cancer.Scientific reports · 2024Article
- Non-Coding RNAs as Key Regulators in Lung Cancer.International journal of molecular sciences · 2023Review
- Identifying potential pathogenesis and immune infiltration in diabetic foot ulcers using bioinformatics and in vitro analyses.BMC medical genomics · 2023Article
- A 15-Gene-Based Risk Signature for Predicting Overall Survival in SCLC Patients Who Have Undergone Surgical Resection.Cancers · 2023Article
- The uprise of RNA biology in neuroendocrine neoplasms: altered splicing and RNA species unveil translational opportunities.Reviews in endocrine & metabolic disorders · 2023Review
- Observational
- Mutations in microRNA-128-2-3p identified with amplification-free hybridization assay.PloS one · 2023Article
- Repression of linc01555 up-regulates angiomotin-p130 via the microRNA-122-5p/clic1 axis to impact vasculogenic mimicry-mediated chemotherapy resistance in small cell lung cancer.Cell cycle (Georgetown, Tex.) · 2023Article
- The Advances in Epigenetics for Cancer Radiotherapy.International journal of molecular sciences · 2022Review
- MiR-1246 regulates the PI3K/AKT signaling pathway by targeting PIK3AP1 and inhibits thyroid cancer cell proliferation and tumor growth.Molecular and cellular biochemistry · 2022Article
- Bioinformatic Analysis Identifies of Potential miRNA-mRNA Regulatory Networks Involved in the Pathogenesis of Lung Cancer.Computational intelligence and neuroscience · 2022Article
- Enhancer-associated regulatory network and gene signature based on transcriptome and methylation data to predict the survival of patients with lung adenocarcinoma.Frontiers in genetics · 2022Article
- Exosomal miRNA-205 promotes breast cancer chemoresistance and tumorigenesis through E2F1.Aging · 2021Article
- Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.BMC cancer · 2021Article
- Article
- Article
- Integrated Analysis of the m6A-Related lncRNA Identified lncRNA ABALON/miR-139-3p/Cancer management and research · 2021Article
- Identification of Key Biomarkers and Pathways in Small-Cell Lung Cancer Using Biological Analysis.BioMed research international · 2021Article
- Common and distinct features of potentially predictive biomarkers in small cell lung carcinoma and large cell neuroendocrine carcinoma of the lung by systematic and integrated analysis.Molecular genetics & genomic medicine · 2020Article
- Article
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8 authors.
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Abstract
Small‑cell lung cancer (SCLC) is a type of lung cancer with early metastasis, and high recurrence and mortality rates. The molecular mechanism is still unclear and further research is required. The aim of the present study was to examine the pathogenesis and potential molecular markers of SCLC by comparing the differential expression of mRNA and microRNA (miRNA) between SCLC tissue and normal lung tissue. A transcriptome sequencing dataset (GSE6044) and a non‑coding RNA sequence dataset (GSE19945) were downloaded from the Gene Expression Omnibus (GEO) database. In total, 451 differentially expressed genes (DEGs) and 134 differentially expressed miRNAs (DEMs) were identified using the R limma software package and the GEO2R tool of the GEO, respectively. The Gene Ontology function was significantly enriched for 28 terms, and the Kyoto Encyclopedia of Genes and Genomes database had 19 enrichment pathways, mainly related to 'cell cycle', 'DNA replication' and 'oocyte meiosis mismatch repair'. The protein‑protein interaction network was constructed using Cytoscape software to identify the molecular mechanisms of key signaling pathways and cellular activities in SCLC. The 1,402 miRNA‑gene pairs encompassed 602 target genes of the DEMs using miRNAWalk, which is a bioinformatics platform that predicts DEM target genes and miRNA‑gene pairs. There were 19 overlapping genes regulated by 32 miRNAs between target genes of the DEMs and DEGs. Bioinformatics analysis may help to better understand the role of DEGs, DEMs and miRNA‑gene pairs in cell proliferation and signal transduction. The related hub genes may be used as biomarkers for the diagnosis and prognosis of SCLC, and as potential drug targets.
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