ArticleExperimental and therapeutic medicine2017
Gene expression profiling analysis of keloids with and without hydrocortisone treatment.
Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Comprehensive bioinformatic analysis reveals a fibroblast-related gene signature for the diagnosis of keloids.Heliyon · 2024Article
- Genomic Basis for Individual Differences in Susceptibility to the Neurotoxic Effects of Diesel Exhaust.International journal of molecular sciences · 2022Article
- Identification and Validation of Novel Diagnostic Biomarkers for Keloid Based on GEO Database.International journal of general medicine · 2022Article
- Identification and characterization of four immune-related signatures in keloid.Frontiers in immunology · 2022Article
- [Bibliometric and visual analysis of current status and trends of international research on keloids].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the genetic effects of hydrocortisone (HC) treatment on keloids and screen medicines to be used in a combination therapy of keloids with HC. The dataset GSE7890 was downloaded from Gene Expression Omnibus. It contained data regarding 4 fibroblast samples from normal scar tissue and 5 samples from keloid tissue with HC treatment, as well as 5 samples from normal scar and 5 samples from keloids without HC treatment. Following the identification of differentially expressed genes (DEGs), the functions of these DEGs were analyzed by Gene Ontology (GO) and pathway enrichment analyses. Furthermore, adverse effects of HC were identified using WebGestalt. Additionally, candidate small molecule drugs associated with keloids were selected from a connectivity map database. A total of 166 and 41 DEGs, with and without HC treatment respectively, were only present in dermal fibroblasts from keloids (termed genesets A and B, respectively). A set of 26 DEGs was present following both treatments (geneset C). A number of DEGs in geneset B (
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Registered trials
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