ArticleBioMed research international2020
Identification of Potential Biomarkers Associated with Basal Cell Carcinoma.
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 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Article
- Article
- Cyfip2 controls the acoustic startle threshold through FMRP, actin polymerization, and GABAbioRxiv : the preprint server for biology · 2024Article
- Identification and verification of PTPN3 as a novel biomarker in predicting cancer prognosis, immunity, and immunotherapeutic efficacy.European journal of medical research · 2024Article
- Circulating extracellular vesicle-derived MARCKSL1 is a potential diagnostic non-invasive biomarker in metastatic colorectal cancer patients.Scientific reports · 2023Article
- Review
- Blood transcriptome analysis revealed the immune changes and immunological adaptation of wildness training giant pandas.Molecular genetics and genomics : MGG · 2022Article
- Cytoplasmic FMR1 interacting protein (CYFIP) family members and their function in neural development and disorders.Molecular biology reports · 2021Review
- Machine Learning of Single Cell Transcriptomic Data From anti-PD-1 Responders and Non-responders Reveals Distinct Resistance Mechanisms in Skin Cancers and PDAC.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis work is aimed at identifying several molecular markers correlated with the diagnosis and development of basal cell carcinoma (BCC).
methodsThe available microarray datasets for BCC were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified between BCC and healthy controls. Afterward, the functional enrichment analysis and protein-protein interaction (PPI) network analysis of these screened DEGs were performed. An external validation for the DEG expression level was also carried out, and receiver operating characteristic curve analysis was used to evaluate the diagnostic values of DEGs.
resultIn total, five microarray datasets for BCC were downloaded and 804 DEGs (414 upregulated and 390 downregulated genes) were identified. Functional enrichment analysis showed that these genes including
conclusionNine gene signatures (
Indexed as
Identifiers
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Registered trials
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