ArticleJournal of cancer research and clinical oncology2018
Molecular classification and subtype-specific characterization of skin cutaneous melanoma by aggregating multiple genomic platform data.
Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- PLA1A expression as a diagnostic marker of BRAF-mutant metastasis in melanoma cancer.Scientific reports · 2021Trial
- Article
- Cross talk between tumor stemness and microenvironment for prognosis and immunotherapy of uveal melanoma.Journal of cancer research and clinical oncology · 2023Article
- Construction of Two Independent RAB Family-Based Scoring Systems Based on Machine Learning Algorithms and Definition of RAB13 as a Novel Therapeutic Target for Hepatocellular Carcinoma.International journal of molecular sciences · 2023Article
- Comprehensive Analysis of Necroptosis Landscape in Skin Cutaneous Melanoma for Appealing its Implications in Prognosis Estimation and Microenvironment Status.Journal of personalized medicine · 2023Article
- Anti-proliferative and pro-apoptotic effects of curcumin on skin cutaneous melanoma: Bioinformatics analysis andFrontiers in genetics · 2022Article
- Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma.Journal of oncology · 2021Review
- Web-based nomograms for predicting the prognosis of adolescent and young adult skin melanoma, a large population-based real-world analysis.Translational cancer research · 2020Article
- The Integrative Analysis Identifies Three Cancer Subtypes and Stemness Features in Cutaneous Melanoma.Frontiers in molecular biosciences · 2020Article
- Novel therapeutic compound acridine-retrotuftsin action on biological forms of melanoma and neuroblastoma.Journal of cancer research and clinical oncology · 2019Article
- Updates in adjuvant systemic therapy for melanoma.Journal of surgical oncology · 2019Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTraditional classification of melanoma is widely utilized with little apparent results making the development of robust classifiers that can guide therapies an urgency. Successful seminal research on classification has provided a wider understanding of cancer from multiple molecular profiles, respectively. However, it may ignore the complementary nature of the information provided by different types of data, which motivated us to subtype melanoma by aggregating multiple genomic platform data.
methodsAggregating three omics data of 328 melanoma samples, melanoma subtyping was performed by three clustering methods. Differences across subtypes were extracted by functional enrichment, epigenetically silencing, gene mutations and clinical features. Subtypes were further distinguished by putative biomarkers.
resultsFunctional enrichment of the subtype-specific differential expression genes endowed subtypes new designation: immune, melanin and ion, in which the first subtype was enriched for immune system, the second was characterized by melanin and pigmentation, and the third was enriched for ion-involved transmission process. Subtypes also differed in age, Breslow thickness, tumor site, mutation frequency of BRAF, PTGS2, CDKN2A, CDKN2B and incidence of epigenetically silencing for IL15RA, EPSTI1, LXN, CDKN1B genes.
conclusionsSkin cutaneous melanoma can be robustly divided into three subtypes by SNFCC
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