ArticleMolecular medicine reports2019
Identification of key candidate genes involved in melanoma metastasis.
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 45 papers.
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Who cites it
45 citing papers in PubMed, 69 citations in OpenAlex.
- Targeting centromere protein M represses cell growth and mobility via inactivating AKT pathway but less affects BRAF inhibitor sensitivity in cutaneous melanoma.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Melanoma microsatellites exhibit a metastatic signature by spatial transcriptomics and overexpress mediators of immune evasion.Virchows Archiv : an international journal of pathology · 2025Article
- Multi-Modal Biomarker Profiling of Tumor Microenvironment and Genomic Alterations to Enhance Immunotherapy Stratification in Melanoma.Current issues in molecular biology · 2025Article
- High expression of LIMD2 predicts a poor prognosis and promotes migration of colon cancer cells.Discover oncology · 2025Article
- Molecular Imprints of Clinical Comorbidities in Hypothalamic Extracellular Vesicles at the Onset of Obesity.ACS omega · 2025Article
- Identification of the oncogenic role of centromere protein M in non-small cell lung cancer via CDC20/MYBL2/Wnt signaling pathways.Journal of molecular histology · 2025Article
- Exploring the Common Mutational Landscape in Cutaneous Melanoma and Pancreatic Cancer.Pigment cell & melanoma research · 2025Review
- Identification of CENPM as a key gene driving adrenocortical carcinoma metastasis via physical interaction with immune checkpoint ligand FGL1.Clinical and translational medicine · 2025Article
- SPACA6-hosted miR-99b~125a~let-7e cluster shapes melanoma resistance by modulating mTOR-mediated immunosuppression.Frontiers in immunology · 2025Article
- LAMA1 derived from colorectal cancer promotes M2 polarization in macrophagesCentral-European journal of immunology · 2025Article
- Serum proteomics and machine learning identify PSMD11 as a prognostic biomarker in severe fever with thrombocytopenia syndrome.Frontiers in immunology · 2025Article
- Article
- Metformin regulates the proliferation and motility of melanoma cells by modulating the LINC00094/miR-1270 axis.Cancer cell international · 2024Article
- Biochemical pharmacology of adenylyl cyclases in cancer.Biochemical pharmacology · 2024Review
- The Role of ADCY1 in Regulating the Sensitivity of Platinum-Based Chemotherapy in NSCLC.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Antitumor Effect of Poplar Propolis on Human Cutaneous Squamous Cell Carcinoma A431 Cells.International journal of molecular sciences · 2023Article
- Review
- Laminin α1 as a target for the treatment of epidural fibrosis by regulating fibrotic mechanisms.International journal of molecular medicine · 2023Article
- The prognostic value and mechanisms of centromere protein M in patients with lung adenocarcinoma.Translational cancer research · 2022Article
- circRNA: A New Biomarker and Therapeutic Target for Esophageal Cancer.Biomedicines · 2022Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metastasis is the most lethal stage of cancer progression. The present study aimed to investigate the underlying molecular mechanisms of melanoma metastasis using bioinformatics. Using the microarray dataset GSE8401 from the Gene Expression Omnibus database, which included 52 biopsy specimens from patients with melanoma metastasis and 31 biopsy specimens from patients with primary melanoma, differentially expressed genes (DEGs) were identified, subsequent to data preprocessing with the affy package, followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. A protein‑protein interaction (PPI) network was constructed. Mutated genes were analyzed with 80 mutated cases with melanoma from The Cancer Genome Atlas. The overall survival of key candidate DEGs, which were within a filtering of degree >30 criteria in the PPI network and involved three or more KEGG signaling pathways, and genes with a high mutation frequency were delineated. The expression analysis of key candidate DEGs, mutant genes and their associated genes were performed on UALCAN. Of the 1,187 DEGs obtained, 505 were upregulated and 682 were downregulated. 'Extracellular exosome' processes, the 'amoebiasis' pathway, the 'ECM‑receptor interaction' pathway and the 'focal adhesion' signaling pathway were significantly enriched and identified as important processes or signaling pathways. The overall survival analysis of phosphoinositide‑3‑kinase regulator subunit 3 (PIK3R3), centromere protein M (CENPM), aurora kinase A (AURKA), laminin subunit α 1 (LAMA1), proliferating cell nuclear antigen (PCNA), adenylate cyclase 1 (ADCY1), BUB1 mitotic checkpoint serine/threonine kinase (BUB1), NDC80 kinetochore complex component (NDC80) and protein kinase C α (PRKCA) in DEGs was statistically significant. Mutation gene analysis identified that BRCA1‑associated protein 1 (BAP1) had a higher mutation frequency and survival analysis, and its associated genes in the BAP1‑associated PPI network, including ASXL transcriptional regulator 1 (ASXL1), proteasome 26S subunit, non‑ATPase 3 (PSMD3), proteasome 26S subunit, non ATPase 11 (PSMD11) and ubiquitin C (UBC), were statistically significantly associated with the overall survival of patients with melanoma. The expression levels of PRKCA, BUB1, BAP1 and ASXL1 were significantly different between primary melanoma and metastatic melanoma. Based on the present study, 'extracellular exosome' processes, 'amoebiasis' pathways, 'ECM‑receptor interaction' pathways and 'focal adhesion' signaling pathways may be important in the formation of metastases from melanoma. The involved genes, including PIK3R3, CENPM, AURKA, LAMA1, PCNA, ADCY1, BUB1, NDC80 and PRKCA, and mutation associated genes, including BAP1, ASXL1, PSMD3, PSMD11 and UBC, may serve important roles in metastases of melanoma.
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