Changes in microRNA expression associated with metastasis and survival in patients with uveal melanoma

Lee, Tae Jin; Sharma, Ashok; Wallbillich, John J.

doi:10.18632/oncotarget.27559

Cited by 7 publications

(10 citation statements)

References 47 publications

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“…Similarly, Gasparello et al (39) found that hsa-miR-221-3p did not discriminate between early CRC patients and healthy donors. In agreement with our findings, Deng et al found that high hsa-miR-221-3p expression was associated with better 5-year disease-free survival of triplenegative breast cancer patients (40), and in uveal melanoma, Vashishtha et al (41) found that the downregulation of hsa-miR-221-3p was associated with metastatic disease. Some reports on melanoma and hsa-miR-221 did not specify whether−5p or−3p species were analyzed (37).…”

Section: Discussionsupporting

confidence: 93%

A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

et al. 2023

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BackgroundStaging of melanoma and follow up after melanoma diagnosis aims at predicting risk and detecting progression or recurrence at early stage, respectively in order to timely start and/or change treatment. Tumor thickness according to Breslow, status of the sentinel node and value of the lactate dehydrogenase (LDH) are well-established prognostic markers for metastatic risk, but reliable biomarkers identifying early recurrence or candidates who may benefit best from medical treatment are still warranted. Liquid biopsy has emerged to be a suitable method for identifying biomarkers for early cancer diagnosis, prognosis, therapeutic response prediction, and patient follow-up. Liquid biopsy is a blood-based non-invasive procedure that allows analyzing circulating analytes, including extracellular vesicles.MethodsIn this study we have explored the use of 7 miRNAs, namely hsa-miR-149-3p, hsa-miR-150-5p, hsa-miR-21-5p, hsa-miR-200c-3p, hsa-miR-134-5p, hsa-miR-144-3p and hsa-miR-221-3p in plasma exosomes to discriminate melanoma patients from controls without melanoma in a cohort of 92 individuals.Results and discussionOur results showed that three out seven miRNAs, namely hsa-miR-200c-3p, hsa-miR-144-3p and hsa-miR-221-3p were differentially expressed in plasma-derived exosomes from melanoma patients and controls. Furthermore, the expression of the three miRNAs may be a promising ancillary tool as a melanoma biomarker, even for discriminating between nevi and melanoma.

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Section: Discussionsupporting

confidence: 93%

A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

et al. 2023

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“…Hsa-miR-513a-5p, miR-506-3p, miR-508-3p, miR-140-3p, and miR-103a-2-5p were further identified as OS signatures via Cox LASSO regression, and the results were confirmed by the KM plot and ROC curve. Other bioinformatics methods were also applied to explore microRNAs related to the invasion [ 33 ] and prognosis [ 34 , 35 ] of UM based on a TCGA dataset. However, most of the microRNAs we identified except hsa-miR-513a-5p differed from those identified in other studies due to the various methods used.…”

Section: Discussionmentioning

confidence: 99%

Identification of 5 microRNA biomarkers associated with the prognosis of uveal melanoma

et al. 2022

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To uncover the role of microRNAs in the occurrence and development of uveal melanoma (UM), we used R language packages in this study to analyze the correlations between the expression of microRNA isoforms, their target genes, and the clinical data for UM patients retrieved from The Cancer Genome Atlas (TCGA). We used Weighted Correlation Network Analysis (WGCNA) to divide the expression profiles of different microRNAs into 10 modules, among which blue and yellow modules were associated with UM survival. Hsa-miR-513a-5p, miR-506-3p, miR-508-3p, miR-140-3p, and miR-103a-2-5p were further identified as the top 5 node microRNAs based on the risk scores in both modules using least absolute shrinkage and selection operator (LASSO) Cox regression analysis. After combining these 5 microRNAs into an integrated risk signature, the prognostic performance of the risk signature was evaluated by area under the receiver operating characteristic (AUROC) curve, and their association with UM clinical characteristics was further analyzed using multiple Cox regression. Our results showed that this risk signature was sensitivity and specificity, and could serve as an independent prognostic factor. In addition, Spearman correlation analysis showed that expression of almost all target mRNAs were significantly positively or negatively correlated with the associated microRNAs. The gene ontology (GO), pathways, and disease enrichment analyses also showed that these 5 microRNAs were closely related to the incidence and progression of tumor, indicating their potential for predicting the outcome of UM. Abbreviations: AUROC = receiver operating characteristic, FPKM = fragments per kilobase of exon model per million reads mapped, GO = curve gene ontology, HR = Hazard ratio, KEGG = Kyoto Encyclopedia of Genes and Genomes, LASSO = least absolute shrinkage and selection operator, MCC = Matthews correlation coefficient, OS = overall survival, TCGA = The Cancer Genome Atlas, UM = Uveal melanoma, WGCNA = Weighted Correlation Network Analysis.

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“…The association of miRNA expression, metastasis, and survival in patients with UM using the TCGA dataset was also investigated by Vashishtha et al [ 98 ]. They reported 22 miRNAs, 3 upregulated (miR-199a-5p, miR-708-5p, and miR-592), and 9 downregulated (miR-508-3p, miR-509-3p, miR-508-5p, miR-514a-3p, miR-506-3p, miR-509-3-5p, miR-513c-5p, miR-513a-5p, and miR-513b-5p) in patients with vs. those without metastatic UM.…”

Section: Mirna and Uveal Melanomamentioning

confidence: 99%

Genetic and Epigenetic Features of Uveal Melanoma—An Overview and Clinical Implications

Pašalić

Nikuševa-Martić

Sekovanić

et al. 2023

IJMS

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Uveal melanoma (UM) is rare, but it is the most common primary intraocular malignancy among adults. This review represents the molecular, genetic, and immunobiological mechanisms involved in UM carcinogenesis and progression, as well as data about the association of chromosomal changes, genetic mutations, selective proteins, and biochemical biomarkers with the clinical implications of UM. Genetic analysis has the potential to identify patients with a high risk of UM metastasis, enabling management that is more effective and allowing for the follow-up of patients. Advancements in molecular characterization of UM offer opportunities to develop targeted therapeutic strategies by focusing on relevant signaling pathways. Changes in miRNA expression could be useful in the diagnosis and prognosis of UM, due to unique miRNA profiles in melanoma cells or tissue and its association with metastasis. Although liver function tests do not provide enough data on the prognosis of UM, due to the high frequency of liver metastasis, liver function tests (LFTs) might be useful indicators; however, the absence of rising LFT values cannot lead to the exclusion of liver metastases. Molecular analysis of tumor tissue will allow us to identify patients with the added benefit of new therapeutic agents and provide a better insight into melanoma pathogenesis and its biological behavior.

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Changes in microRNA expression associated with metastasis and survival in patients with uveal melanoma

Cited by 7 publications

References 47 publications

A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

Identification of 5 microRNA biomarkers associated with the prognosis of uveal melanoma

Genetic and Epigenetic Features of Uveal Melanoma—An Overview and Clinical Implications

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