Integrative Bioinformatics Analysis of Pyroptosis-Related Genes and Analysis of Immune Cell Infiltration in Infantile Hemangioma Regression

被引:0
|
作者
Liu, Lan [1 ,2 ]
Lin, Sheng [1 ,2 ]
Bai, Jianxi [1 ,2 ,3 ]
Zhang, Bing [1 ,2 ]
机构
[1] Fujian Childrens Hosp, Shanghai Childrens Med Ctr, Fujian Branch, Pediat Surg Dept, 966 Hengyu Rd, Fuzhou, Fujian, Peoples R China
[2] Fujian Med Univ, Coll Clin Med Obstet & Gynecol & Pediat, Pediat Surg Dept, Fuzhou, Fujian, Peoples R China
[3] Fujian Childrens Hosp, Fujian Branch, Dept Pediat Surg, Shanghai Childrens Med Ctr, Fuzhou, Peoples R China
关键词
infantile hemangiomas; pyroptosis; bioinformatics; immune cell infiltration; regression; APOPTOSIS; GROWTH;
D O I
10.2147/CCID.S492535
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Background: Infantile hemangiomas (IHs) are characterized by spontaneous regression, and their pathogenesis involves immune cell infiltration and programmed cell death. The molecular pathways and mechanisms involved in pyroptosis in IHs are still unclear. This study aimed to identify genes related to pyroptosis in IH regression by bioinformatics methods and to explore the effects of these pyroptosis-related genes (PRGs) on disease pathology and immune cell infiltration. Methods: The microarray dataset GSE127487 was assessed to identify differentially expressed genes (DEGs) between proliferation- phase IH (PIHs) and involution-phase IH (IIHs). The DEGs that overlapped with PRGs were considered IH-PRGs. The IH-PRGs were validated and subjected to functional enrichment analysis and Genomes pathway analyses. Gene set enrichment analysis (GSEA) was also performed to analyse the biological significance of the DEGs. The NetworkAnalyst database was used to analyse the correlation network of IH-PRGs and miRNAs as well as that of IH-PRGs and transcription factors. The STRING online database and Cytoscape were used to identify the hub-IH-PRGs. Additionally, a single-sample GSEA algorithm was applied to assess immune cell infiltration in IHs, and correlation analysis was performed between the hub-IH-PRGs and infiltrating immune cells. Results: Fourteen IH-PRGs were identified. IL6, EGFR, IRF1 and IL32 were identified as hub-IH-PRGs and displayed excellent diagnostic performance. Immune cell infiltration analysis revealed notable differences in CD8+ T cells, Tgd cells and Th17 cells between PIHs and IIHs. IL-6 was significantly positively correlated with Th17 cell infiltration and significantly negatively correlated with Tgd cell infiltration; EGFR was negatively correlated with Tgd cell infiltration; and IRF1 and IL32 were significantly negatively correlated with Th17 cell infiltration. Conclusion: Four PRGs, namely, IL6, EGFR, IRF1 and IL32, may play a significant role in IH regression. This study provides insights into the molecular mechanisms underlying IH pathogenesis, highlighting the importance of pyroptosis and immune cell infiltration.
引用
收藏
页码:291 / 302
页数:12
相关论文
共 50 条
  • [31] Immune infiltration analysis based on pyroptosis-related gene in metabolic dysfunction-associated fatty liver disease
    Lian, Xin
    Tang, Xulei
    HELIYON, 2024, 10 (15)
  • [32] Multi-omics analysis of pyroptosis-related genes for prognosis and immune landscape in head and neck cancer
    Zheng, Shikang
    Liu, Qinghua
    Wang, Cheng
    Zhang, Rongqi
    Peng, Xin
    Fan, Junda
    Xu, Haiming
    Pan, Xiazhi
    Chen, Nanxiang
    Liu, Mingbo
    Zhao, Kai
    CLINICAL AND TRANSLATIONAL MEDICINE, 2024, 14 (12):
  • [33] Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo
    Yang, Mingmei
    Wang, Huiying
    Zhang, Ruzhi
    CLINICAL COSMETIC AND INVESTIGATIONAL DERMATOLOGY, 2025, 18 : 475 - 489
  • [34] Identifying Immune Cell Infiltration and Hub Genes Related to M2 Macrophages in Endometriosis by Bioinformatics Analysis
    Zhu, Tianhong
    Du, Yongming
    Jin, Bohong
    Zhang, Fubin
    Guan, Yutao
    REPRODUCTIVE SCIENCES, 2023, 30 (11) : 3388 - 3399
  • [35] A pyroptosis-related signature predicts prognosis and indicates immune microenvironment infiltration in glioma
    Chen, Jia
    Chen, Shanwei
    Li, Bingxian
    Zhou, Shaojiong
    Lin, Han
    CANCER MEDICINE, 2023, 12 (04): : 5071 - 5087
  • [36] A pyroptosis-related gene signature that predicts immune infiltration and prognosis in colon cancer
    Wu, Mingjian
    Hao, Shuai
    Wang, Xiaoxiang
    Su, Shuguang
    Du, Siyuan
    Zhou, Sitong
    Yang, Ronghua
    Du, Hanpeng
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [37] Identifying Immune Cell Infiltration and Hub Genes Related to M2 Macrophages in Endometriosis by Bioinformatics Analysis
    Tianhong Zhu
    Yongming Du
    Bohong Jin
    Fubin Zhang
    Yutao Guan
    Reproductive Sciences, 2023, 30 : 3388 - 3399
  • [38] Identification of the Pyroptosis-Related Prognosis Gene Signature and Immune Infiltration in Hepatocellular Carcinoma
    Yu, Heng
    Bai, Xue
    Zheng, Wangyang
    DISEASE MARKERS, 2022, 2022
  • [39] A novel pyroptosis-related indicator of immune infiltration features and prognosis in breast cancer
    Wang, Cheng
    Zhang, Liyong
    Ren, Lin
    Zhang, Guozhi
    Wan, Andi
    Xiong, Siyi
    Tian, Hao
    Peng, Zaihui
    Zhao, Tingting
    Gao, Pingping
    Sun, Na
    Zhang, Yi
    Qi, Xiaowei
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [40] Identification of pyroptosis-related subtypes and comprehensive analysis of characteristics of the tumor microenvironment infiltration in clear cell renal cell carcinoma
    Zeng, Jiayi
    Zhu, Ping
    Tang, Yanlin
    Zhang, Changzheng
    Ye, Chujin
    Cheng, Shouyu
    Tian, Kaiwen
    Yang, Bowen
    Zeng, Weinan
    Liu, Yanjun
    Xian, Zhiyong
    Yu, Yuming
    SCIENTIFIC REPORTS, 2023, 13 (01)