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ORIGINAL RESEARCH article

Front. Mol. Biosci.
Sec. Molecular Diagnostics and Therapeutics
Volume 11 - 2024 | doi: 10.3389/fmolb.2024.1490745
This article is part of the Research Topic Crosstalk in Ferroptosis, Immunity & Inflammation View all 17 articles

Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis

Provisionally accepted
Zhen Sun Zhen Sun Xuanfen Zhang Xuanfen Zhang *
  • Lanzhou University Second Hospital, Lanzhou, China

The final, formatted version of the article will be published soon.

    Keloids are a common skin disorder characterized by excessive fibrous tissue proliferation, which can significantly impact the patient's health. Ferroptosis plays an important role in the development of fibrosis; however, its impact on keloid mechanisms is not yet fully understood. This study aimed to identify key genes associated with ferroptosis in keloid formation to better understand the underlying mechanisms. Data files GSE145725, GSE7890, and GSE44270 were obtained from the NCBI GEO database, comprising a total of 24 keloid and 17 normal skin groups. Single-cell data from GSE181316, including 8 samples with complete expression profiles, were also analyzed. A total of 471 differentially expressed genes were identified in the GSE145725 dataset, including 225 up-regulated and 246 down-regulated genes. By extracting ferroptosis-related genes from the GeneCards database, we intersected these genes with differentially expressed genes and ultimately selected five ferroptosis-related genes associated with keloids using LASSO regression. Among these, two genes were upregulated and three were downregulated in keloids. We then performed GSEA pathway enrichment analysis, GSVA gene set variation analysis, immune cell infiltration analysis, and single-cell sequencing analysis on these five genes, revealing that they are primarily involved in the fibrotic process. To validate these key genes, We collected five keloid and five normal skin tissue samples and conducted qRT-PCR and WB analyses. The results were consistent with our findings.This study offers novel insights into the molecular characteristics of ferroptosis in keloids.

    Keywords: Keloid，Ferroptosis，Fibrosis，Immune infiltration，Oxidative stress DEGs,Differentially expressed genes, GEO,Gene Expression Omnibus, LASSO, least absolute shrinkage and selection operator, AUC, area under the receiver operating characteristic curve, GO, gene ontology, ROC, receiver operating characteristic curve, GSVA, Gene set variation analysis, GSEA, Gene pathway enrichment analysis

    Received: 03 Sep 2024; Accepted: 27 Nov 2024.

    Copyright: © 2024 Sun and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xuanfen Zhang, Lanzhou University Second Hospital, Lanzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.