ArticleBMC medical genetics2014
Expression analysis of genes and pathways associated with liver metastases of the uveal melanoma.
Article in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Identification of novel chemotherapeutic strategies for metastatic uveal melanoma.Scientific reports · 2017Pooled it
- HTR2B-Mediated Endothelial Protection: Modulating Ferroptosis via the PI3K/AKT Signaling Pathway in Atherosclerosis.Cardiovascular therapeutics · 2025Article
- Detection of neoplastic-immune hybrid cells with metastatic properties in uveal melanoma.Biomarker research · 2024Article
- Machine Learning Methods for Gene Selection in Uveal Melanoma.International journal of molecular sciences · 2024Article
- Immunogenic profiling of metastatic uveal melanoma discerns a potential signature related to prognosis.Journal of cancer research and clinical oncology · 2024Article
- ZEB1 hypermethylation is associated with better prognosis in patients with colon cancer.Clinical epigenetics · 2023Article
- Detection of neoplastic-immune hybrid cells with metastatic properties in uveal melanoma.Research square · 2023Article
- Interdependence of Molecular Lesions That Drive Uveal Melanoma Metastasis.International journal of molecular sciences · 2023Article
- Article
- Screening and Identification of Key Biomarkers in Metastatic Uveal Melanoma: Evidence from a Bioinformatic Analysis.Journal of clinical medicine · 2022Article
- Circulating Neoplastic-Immune Hybrid Cells Predict Metastatic Progression in Uveal Melanoma.Cancers · 2022Article
- Contribution of the STAT Family of Transcription Factors to the Expression of the Serotonin 2B (HTR2B) Receptor in Human Uveal Melanoma.International journal of molecular sciences · 2022Article
- Identification of prognostic alternative splicing signatures in uveal melanoma.International ophthalmology · 2021Article
- Autophagy-Related Long Non-coding RNA Signature as Indicators for the Prognosis of Uveal Melanoma.Frontiers in genetics · 2021Article
- Functional Prediction of Long Noncoding RNAs in Cutaneous Melanoma Using a Systems Biology Approach.Bioinformatics and biology insights · 2021Article
- Experimental and bioinformatics considerations in cancer application of single cell genomics.Computational and structural biotechnology journal · 2021Article
- International Union of Basic and Clinical Pharmacology. CX. Classification of Receptors for 5-hydroxytryptamine; Pharmacology and Function.Pharmacological reviews · 2021Review
- Article
- A novel chalcone derivative suppresses melanoma cell growth through targeting Fyn/Stat3 pathway.Cancer cell international · 2020Article
- The role of YWHAZ in cancer: A maze of opportunities and challenges.Journal of Cancer · 2020Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUveal melanoma is an aggressive cancer which has a high percentage metastasizing to the liver, with a worse prognosis. Identification of patients at high risk of metastases may provide information for early detection of metastases and treatment.
methodsExpression profiling of ocular tumor tissues from 46 liver metastatic uveal melanoma samples and 45 non-metastatic uveal melanoma samples were got from GEO database. Bioinformatic analyses such as the Gene Oncology and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with liver metastases of the uveal melanoma.
resultsA total of 1138 probes were differentially expressed in two group samples. All differential gene interactions in the Signal-Net were analyzed. Of them, 768 probes were up-regulated and 370 down-regulated. They mainly participated in 125 GO terms and 16 pathways. Of the genes differentially expressed between two group cancers, HTR2B, CHL1, the ZNF family, YWHAZ and FYN were the most significantly altered.
conclusionsBioinformatics may help excavate and analyze large amounts of data in microarrays by means of rigorous experimental planning, scientific statistical analysis and collection of complete data about liver metastases of uveal melanoma patients. In the present study, a novel differential gene expression pattern was constructed and advanced study will provide new targets for diagnosis and mechanism of uveal melanoma liver metastases.
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