ArticleInternational journal of molecular sciences2020
Human Melanoma-Cell Metabolic Profiling: Identification of Novel Biomarkers Indicating Metastasis.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 26 citations in OpenAlex.
- Metabolic profiling of human melanoma cell lines with high and low metastatic capacity by 1H-NMR spectroscopy.PloS one · 2026Article
- The serum metabolome serves as a diagnostic biomarker and discriminates patients with melanoma from healthy individuals.Cell reports. Medicine · 2025Article
- Hypoxanthine activates PI3K/AKT pathway and lipid metabolism, hallmarks in breast cancer metastasis.Medical oncology (Northwood, London, England) · 2025Article
- Synthesis, Stability, and Biological Evaluation of Novel Aminoderivatives Incorporating the Aza-Acridine Scaffold.Molecules (Basel, Switzerland) · 2025Article
- BioID-based intact cell interactome of the Kv1.3 potassium channel identifies a Kv1.3-STAT3-p53 cellular signaling pathway.Science advances · 2024Article
- Cutaneous Melanoma and 486 Human Blood Metabolites: A Mendelian Randomization Study.Aesthetic plastic surgery · 2024Article
- Article
- Plasma metabolomic analysis of human hepatocellular carcinoma before and after transcatheter arterial chemoembolization.International journal of medical sciences · 2024Article
- Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.International journal of molecular sciences · 2023Review
- Recent Advances in Mass Spectrometry-Based Structural Elucidation Techniques.Molecules (Basel, Switzerland) · 2022Review
- Apprising Diagnostic and Prognostic Biomarkers in Cutaneous Melanoma-Persistent Updating.Journal of personalized medicine · 2022Review
- Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022Review
- Upregulated phospholipase D2 expression and activity is related to the metastatic properties of melanoma.Oncology letters · 2022Article
- Novelty detection for metabolic dynamics established on breast cancer tissue using 2D NMR TOCSY spectra.Computational and structural biotechnology journal · 2022Article
- Study on Closely RelatedEvidence-based complementary and alternative medicine : eCAM · 2022Article
- NRF2-directed PRPS1 upregulation to promote the progression and metastasis of melanoma.Frontiers in immunology · 2022Article
- Article
- Targeted Metabolomics Identifies Plasma Biomarkers in Mice with Metabolically Heterogeneous Melanoma Xenografts.Cancers · 2021Article
- Inhibitory Effect of Dihydroartemisinin on the Proliferation and Migration of Melanoma Cells and Experimental Lung Metastasis From Melanoma in Mice.Frontiers in pharmacology · 2021Article
- Role of Metastasis Suppressor KAI1/CD82 in Different Cancers.Journal of oncology · 2021Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
Melanoma is the most aggressive type of skin cancer, leading to metabolic rewiring and enhancement of metastatic transformation. Efforts to improve its early and accurate diagnosis are largely based on preclinical models and especially cell lines. Hence, we herein present a combinational Nuclear Magnetic Resonance (NMR)- and Ultra High Performance Liquid Chromatography-High-Resolution Tandem Mass Spectrometry (UHPLC-HRMS/MS)-mediated untargeted metabolomic profiling of melanoma cells, to landscape metabolic alterations likely controlling metastasis. The cell lines WM115 and WM2664, which belong to the same patient, were examined, with WM115 being derived from a primary, pre-metastatic, tumor and WM2664 clonally expanded from lymph-node metastases. Metabolite samples were analyzed using NMR and UHPLC-HRMS. Multivariate statistical analysis of high resolution NMR and MS (positive and negative ionization) results was performed by Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA) and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA), while metastasis-related biomarkers were determined on the basis of VIP lists, S-plots and Student's t-tests. Receiver Operating Characteristic (ROC) curves of NMR and MS data revealed significantly differentiated metabolite profiles for each cell line, with WM115 being mainly characterized by upregulated levels of phosphocholine, choline, guanosine and inosine. Interestingly, WM2664 showed notably increased contents of hypoxanthine, myo-inositol, glutamic acid, organic acids, purines, pyrimidines, AMP, ADP, ATP and UDP(s), thus indicating the critical roles of purine, pyrimidine and amino acid metabolism during human melanoma metastasis.
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Registered trials
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