ArticleJournal of Cancer2018
Identification of Biomarker for Cutaneous Squamous Cell Carcinoma Using Microarray Data Analysis.
Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Single-cell transcriptomic landscape of keratinocyte transformation from actinic keratosis to skin carcinoma.iScience · 2025Article
- Current and Emerging Insights into the Causes, Immunopathogenesis, and Treatment of Cutaneous Squamous Cell Carcinoma.Cancers · 2025Review
- NEDD4 facilitates the progression of endometrial carcinoma by enhancing PAMR1 protein degradation through ubiquitination.Functional & integrative genomics · 2025Article
- Multimodal contrastive learning for spatial gene expression prediction using histology images.Briefings in bioinformatics · 2024Article
- THItoGene: a deep learning method for predicting spatial transcriptomics from histological images.Briefings in bioinformatics · 2023Article
- Targeting receptor tyrosine kinase signaling: Avenues in the management of cutaneous squamous cell carcinoma.iScience · 2023Review
- Current Methods and Caveats to Risk Factor Assessment in Cutaneous Squamous Cell Carcinoma (cSCC): A Narrative Review.Dermatology and therapy · 2022Review
- Gene Expression Studies in Formalin-Fixed Paraffin-Embedded Samples of Cutaneous Cancer: The Need for Reference Genes.Current issues in molecular biology · 2021Article
- Identification of key genes in cutaneous squamous cell carcinoma: a transcriptome sequencing and bioinformatics profiling study.Annals of translational medicine · 2021Article
- MMP1 regulated by NEAT1/miR-361-5p axis facilitates the proliferation and migration of cutaneous squamous cell carcinoma via the activation of Wnt pathway.Cancer biology & therapy · 2021Article
- High Expression of PAMR1 Predicts Favorable Prognosis and Inhibits Proliferation, Invasion, and Migration in Cervical Cancer.Frontiers in oncology · 2021Article
- Identification ofTranslational cancer research · 2021Article
- The Role of Early Growth Response Family Members 1-4 in Prognostic Value of Breast Cancer.Frontiers in genetics · 2021Article
- DEFB4A is a potential prognostic biomarker for colorectal cancer.Oncology letters · 2020Article
- Overexpression of microRNA-203 Suppresses Proliferation, Invasion, and Migration while Accelerating Apoptosis of CSCC Cell Line SCL-1.Molecular therapy. Nucleic acids · 2020Article
- LINC00680 and TTN-AS1 Stabilized by EIF4A3 Promoted Malignant Biological Behaviors of Glioblastoma Cells.Molecular therapy. Nucleic acids · 2020Article
- Bioinformatics analysis to screen key genes in papillary thyroid carcinoma.Oncology letters · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cutaneous squamous cell carcinoma (CSCC) is one of the most malignant tumors worldwide. We aimed to explore the molecular mechanism of this CSCC and screen feature genes that can function as the biomarker of CSCC and thus provide a theoretical basis for the pathogenesis research and development of medicine. The method of microarray data analysis was used in this study to explore the differentially expressed genes between tissues of normal specimens and tissues of patients with CSCC. Besides, functional enrichment analysis and signal pathway were performed on these genes to screen the feature genes that are closely associated with CSCC can function as the potential biomarkers of CSCC.A total of 53 samples from two datasets, GSE45216 and GSE45164, were used in the differentially expressed analysis. And as a result, a total of 833 genes were screened out, including 465 up-regulated genes and 215 down-regulated genes. Candidate genes, including up-regulated genes like S100A12, MMP1, DEFB4B/DEFB4A, KRT16 and PI3, and down-regulated genes like EGR3, LRP4, C14orf132, PAMR1, CCL27, and KRT2 were screened out. All these genes were testified in the dataset of GSE66359. The result showed that only three genes, KRT16, PI3 and EGR3, were mostly differentially expressed and only EGR3 had the same expression pattern with both datasets, GSE45216 and GSE45164.Of note, EGR3 gene was found to be the most differentially expressed gene in cutaneous squamous cell carcinoma, which had the potential to function as the candidate genes and help in the diagnosis and prognostic treatments of CSCC.
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