ArticleBMC cancer2020
Reconstruction of lncRNA-miRNA-mRNA network based on competitive endogenous RNA reveals functional lncRNAs in skin cutaneous melanoma.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Candidate MicroRNA Regulatory Axes in Melanoma CD8+ T Cell Exhaustion: A Network-Based In Silico Stratification.Cureus · 2026Article
- lncRNAs as Biomarkers of Hepatocellular Carcinoma Risk and Liver Damage in Advanced Chronic Hepatitis C.Current issues in molecular biology · 2025Article
- Non-coding RNAs as skin disease biomarkers, molecular signatures, and therapeutic targets.Human genetics · 2024Review
- Long noncoding RNA MALAT1 in dermatologic disorders: a comprehensive review.Biomarkers in medicine · 2024Review
- The interaction of mast cells with membranes from lung cancer cells induces the release of extracellular vesicles with a unique miRNA signature.Scientific reports · 2023Article
- LINC00943 regulates miR-1252-5p/YWHAH axis to promote tumor proliferation and metastasis in lung adenocarcinoma.Heliyon · 2023Article
- Unlocking the predictive potential of long non-coding RNAs: a machine learning approach for precise cancer patient prognosis.Annals of medicine · 2023Review
- Integration of lncRNAs, Protein-Coding Genes and Pathology Images for Detecting Metastatic Melanoma.Genes · 2022Article
- Hsa-let-7c-5p, hsa-miR-130b-3p, and hsa-miR-142-3p as Novel miRNA Biomarkers for Melanoma Progression.Genetics research · 2022Article
- LncRNA HCG18 facilitates melanoma progression by modulating miR-324-5p/CDK16 axis.American journal of translational research · 2022Article
- The Functional Role of Long Non-Coding RNAs in Melanoma.Cancers · 2021Review
- LINC00943 knockdown exerts neuroprotective effects in Parkinson's disease through regulates CXCL12 expression by sponging miR-7-5p.Genes & genomics · 2021Article
- Comprehensive Review on the Clinical Relevance of Long Non-Coding RNAs in Cutaneous Melanoma.International journal of molecular sciences · 2021Review
- Gene Instability-Related lncRNA Prognostic Model of Melanoma Patients via Machine Learning Strategy.Journal of oncology · 2021Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundHuman skin cutaneous melanoma is the most common and dangerous skin tumour, but its pathogenesis is still unclear. Although some progress has been made in genetic research, no molecular indicators related to the treatment and prognosis of melanoma have been found. In various diseases, dysregulation of lncRNA is common, but its role has not been fully elucidated. In recent years, the birth of the "competitive endogenous RNA" theory has promoted our understanding of lncRNAs.
methodsTo identify the key lncRNAs in melanoma, we reconstructed a global triple network based on the "competitive endogenous RNA" theory. Gene Ontology and KEGG pathway analysis were performed using DAVID (Database for Annotation, Visualization, and Integration Discovery). Our findings were validated through qRT-PCR assays. Moreover, to determine whether the identified hub gene signature is capable of predicting the survival of cutaneous melanoma patients, a multivariate Cox regression model was performed.
resultsAccording to the "competitive endogenous RNA" theory, 898 differentially expressed mRNAs, 53 differentially expressed lncRNAs and 16 differentially expressed miRNAs were selected to reconstruct the competitive endogenous RNA network. MALAT1, LINC00943, and LINC00261 were selected as hub genes and are responsible for the tumorigenesis and prognosis of cutaneous melanoma.
conclusionsMALAT1, LINC00943, and LINC00261 may be closely related to tumorigenesis in cutaneous melanoma. In addition, MALAT1 and LINC00943 may be independent risk factors for the prognosis of patients with this condition and might become predictive molecules for the long-term treatment of melanoma and potential therapeutic targets.
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