ArticleBioMed research international2020
Identification and Validation of Prognostically Relevant Gene Signature in Melanoma.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Multifaceted functions of transcription regulatory factor X6 (RFX6): from pancreatic development to cancer progression.Cancer cell international · 2025Review
- Pan-cancer multi-omics analysis reveals IQCE as a malignant cell-restricted oncogenic biomarker driving immunosuppression and chemoresistance in cutaneous melanoma.Discover oncology · 2025Article
- High-dimensional feature selection in competing risks modeling: A stable approach using a split-and-merge ensemble algorithm.Biometrical journal. Biometrische Zeitschrift · 2023Article
- PCSK9 facilitates melanoma pathogenesis via a network regulating tumor immunity.Journal of experimental & clinical cancer research : CR · 2023Article
- Low Expression ofClinical, cosmetic and investigational dermatology · 2023Article
- Nidogen-2 (NID2) is a Key Factor in Collagen Causing Poor Response to Immunotherapy in Melanoma.Pharmacogenomics and personalized medicine · 2023Article
- Apprising Diagnostic and Prognostic Biomarkers in Cutaneous Melanoma-Persistent Updating.Journal of personalized medicine · 2022Review
- Identification of RFX5 as prognostic biomarker and associated with immune infiltration in stomach adenocarcinoma.European journal of medical research · 2022Article
- An integrative analysis to reveal that CLEC2B and ferroptosis may bridge the gap between psoriatic arthritis and cancer development.Scientific reports · 2022Article
- Bioinformatics analysis based on ferroptosis-related lncRNAs: construction of a clinical prognostic model for nasopharyngeal carcinoma and correlation analysis.Translational cancer research · 2022Article
- MethReg: estimating the regulatory potential of DNA methylation in gene transcription.Nucleic acids research · 2022Article
- Comprehensive analysis of ferroptosis-related genes and prognosis of cutaneous melanoma.BMC medical genomics · 2022Article
- Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View.International journal of molecular sciences · 2022Review
- LncRNA BASP1-AS1 interacts with YBX1 to regulate Notch transcription and drives the malignancy of melanoma.Cancer science · 2021Article
- Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia.Annals of translational medicine · 2021Article
- Single-Cell Transcriptomic Analysis Reveals a Tumor-Reactive T Cell Signature Associated With Clinical Outcome and Immunotherapy Response In Melanoma.Frontiers in immunology · 2021Article
- The Oncogenic Role and Immune Infiltration for CARM1 Identified by Pancancer Analysis.Journal of oncology · 2021Article
- Development and Validation of a Combined Glycolysis and Immune Prognostic Model for Melanoma.Frontiers in immunology · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, effective genetic markers are limited to predict the clinical outcome of melanoma. High-throughput multiomics sequencing data have provided a valuable approach for the identification of genes associated with cancer prognosis.
methodThe multidimensional data of melanoma patients, including clinical, genomic, and transcriptomic data, were obtained from The Cancer Genome Atlas (TCGA). These samples were then randomly divided into two groups, one for training dataset and the other for validation dataset. In order to select reliable biomarkers, we screened prognosis-related genes, copy number variation genes, and SNP variation genes and integrated these genes to further select features using random forests in the training dataset. We screened for robust biomarkers and established a gene-related prognostic model. Finally, we verified the selected biomarkers in the test sets (GSE19234 and GSE65904) and on clinical samples extracted from melanoma patients using qRT-PCR and immunohistochemistry analysis.
resultsWe obtained 1569 prognostic-related genes and 1101 copy-amplification, 1093 copy-deletions, and 92 significant mutations in genomic variants. These genomic variant genes were closely related to the development of tumors and genes that integrate genomic variation. A total of 141 candidate genes were obtained from prognosis-related genes. Six characteristic genes (
conclusionsWe constructed a 6-gene signature (
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