ArticleBMC cancer2020
Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis.
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 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- In silico analysis of gene expression signatures and drug repurposing associated with metastatic progression in melanoma (skin cancer).Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Mutation-informed gene pairs to predict melanoma metastasis.Cell communication and signaling : CCS · 2026Article
- The role of thrombospondin-1 in dermatological conditions.Frontiers in medicine · 2026Review
- Extracellular Vesicles From a Model of Melanoma Cancer-Associated Fibroblasts Induce Changes in Brain Microvascular Cells Consistent With Pre-Metastatic Niche Priming.Journal of extracellular biology · 2025Article
- Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.Journal of cellular and molecular medicine · 2025Article
- Exploring the impact of antibody-dependent cellular phagocytosis-related genes on the prognosis of metastatic melanoma.PloS one · 2025Article
- Article
- Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancer.Scientific reports · 2023Article
- Review
- Bioinformatic analysis identifies epidermal development genes that contribute to melanoma progression.Medical oncology (Northwood, London, England) · 2022Article
- Development and Validation of a Combined Ferroptosis and Immune Prognostic Model for Melanoma.Journal of oncology · 2022Article
- A Necroptosis-Related Gene Signature to Predict the Prognosis of Skin Cutaneous Melanoma.Disease markers · 2022Article
- Genomic and Transcriptomic Underpinnings of Melanoma Genesis, Progression, and Metastasis.Cancers · 2021Review
- Silencing FYVE, RhoGEF, and PH domain containing 1 (FGD1) suppresses melanoma progression by inhibiting PI3K/AKT signaling pathway.Bioengineered · 2021Article
- Chemokine Pathways in Cutaneous Melanoma: Their Modulation by Cancer and Exploitation by the Clinician.Cancers · 2021Review
- Identification of Genes Potentially Associated with Melanoma Tumorigenesis Through Co-Expression Network Analysis.International journal of general medicine · 2021Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMelanoma has the highest mortality rate of all skin tumors, and metastases are the major cause of death from it. The molecular mechanism leading to melanoma metastasis is currently unclear.
methodsWith the goal of revealing the underlying mechanism, three data sets with accession numbers GSE8401, GSE46517 and GSE7956 were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the differentially expressed gene (DEG) of primary melanoma and metastatic melanoma, three kinds of analyses were performed, namely functional annotation, protein-protein interaction (PPI) network and module construction, and co-expression and drug-gene interaction prediction analysis.
resultsA total of 41 up-regulated genes and 79 down-regulated genes was selected for subsequent analyses. Results of pathway enrichment analysis showed that extracellular matrix organization and proteoglycans in cancer are closely related to melanoma metastasis. In addition, seven pivotal genes were identified from PPI network, including CXCL8, THBS1, COL3A1, TIMP3, KIT, DCN, and IGFBP5, which have all been verified in the TCGA database and clinical specimens, but only CXCL8, THBS1 and KIT had significant differences in expression.
conclusionsTo conclude, CXCL8, THBS1 and KIT may be the hub genes in the metastasis of melanoma and thus may be regarded as therapeutic targets in the future.
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