ArticleOncogene2021
Classification of node-positive melanomas into prognostic subgroups using keratin, immune, and melanogenesis expression patterns.
Article in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 44 citations in OpenAlex.
- QUILPEN Provides Independent and Label-Free Single-Cell Quantification of Pigmentation Dynamics and Organelle Content.Pigment cell & melanoma research · 2026Article
- Comprehensive Profiling of Acral Lentiginous Melanoma Reveals Downregulated Immune Activation Compared to Cutaneous Melanoma.Pigment cell & melanoma research · 2025Article
- Kallikrein-8 mediates furin-independent Activin-A precursor processing to stimulate tumor growth in melanoma.Nature communications · 2025Article
- Identification of Prognostic and Diagnostic Biomarkers for Glioma Utilizing Immune System Gene Profiling.Medical journal of the Islamic Republic of Iran · 2025Article
- Patient-Derived Melanoma Immune-Tumoroids as a Platform for Precise High throughput Drug Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Leveraging gene correlations in single cell transcriptomic data.BMC bioinformatics · 2024Article
- Recycled melanoma-secreted melanosomes regulate tumor-associated macrophage diversification.The EMBO journal · 2024Article
- The metabolism of melanin synthesis-From melanocytes to melanoma.Pigment cell & melanoma research · 2024Review
- CAR-T cell therapy targeting surface expression of TYRP1 to treat cutaneous and rare melanoma subtypes.Nature communications · 2024Article
- Tumor-derived KLK8 predicts inferior survival and promotes an immune-suppressive tumor microenvironment in lung squamous cell carcinoma.BMC pulmonary medicine · 2024Article
- Higher Nodal expression is often associated with poorer survival in patients diagnosed with melanoma and treated with anti-PD1 therapy.Pathology oncology research : POR · 2024Article
- Leveraging gene correlations in single cell transcriptomic data.bioRxiv : the preprint server for biology · 2023Article
- Lipid droplets are a metabolic vulnerability in melanoma.Nature communications · 2023Article
- Phytochemicals as Immunomodulatory Agents in Melanoma.International journal of molecular sciences · 2023Review
- Sorting Transcriptomics Immune Information from Tumor Molecular Features Allows Prediction of Response to Anti-PD1 Therapy in Patients with Advanced Melanoma.International journal of molecular sciences · 2023Article
- The potential impact of melanosomal pH and metabolism on melanoma.Frontiers in oncology · 2022Review
- Exploring Tumor Immune Microenvironment and Its Associations With Molecular Characteristics in Melanoma.Frontiers in oncology · 2022Article
- Article
- Immunological Classification of Pancreatic Carcinomas to Identify Immune Index and Provide a Strategy for Patient Stratification.Frontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
Abstract
Cutaneous melanoma tumors are heterogeneous and show diverse responses to treatment. Identification of robust molecular biomarkers for classifying melanoma tumors into clinically distinct and homogenous subtypes is crucial for improving the diagnosis and treatment of the disease. In this study, we present a classification of melanoma tumors into four subtypes with different survival profiles based on three distinct gene expression signatures: keratin, immune, and melanogenesis. The melanogenesis expression pattern includes several genes that are characteristic of the melanosome organelle and correlates with worse survival, suggesting the involvement of melanosomes in melanoma aggression. We experimentally validated the secretion of melanosomes into surrounding tissues by melanoma tumors, which potentially affects the lethality of metastasis. We propose a simple molecular decision tree classifier for predicting a tumor's subtype based on representative genes from the three identified signatures. Key predictor genes were experimentally validated on melanoma samples taken from patients with varying survival outcomes. Our three-pattern approach for classifying melanoma tumors can contribute to advancing the understanding of melanoma variability and promote accurate diagnosis, prognostication, and treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.