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
  • [1] Integrated Analysis of Immune Infiltration and Hub Pyroptosis-Related Genes for Multiple Sclerosis
    Zhang, Shaoru
    Ma, Yue
    Luo, Xiaoqin
    Xiao, Hongmei
    Cheng, Ruiqi
    Jiang, Anan
    Qin, Xinyue
    JOURNAL OF INFLAMMATION RESEARCH, 2023, 16 : 4043 - 4059
  • [2] Bioinformatic Analysis of Prognostic Value of Pyroptosis-Related Genes and Its Effect on Immune Cell Infiltration in Pancreatic Adenocarcinoma
    Wang, Jian
    Zhang, Hui
    Shao, Peng
    Zhang, Xu
    Zhou, Bin
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2022, 15 : 2311 - 2319
  • [3] Integrative Analysis of Pyroptosis-Related Prognostic Signature and Immunological Infiltration in Lung Squamous Cell Carcinoma
    Luo, Pengfei
    Jiang, Yongjun
    Ding, Sijuan
    Jiang, Shaohui
    Tang, Ruoting
    Tang, Zhaohui
    BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [4] Subtype Classification, Immune Infiltration, and Prognosis Analysis of Lung Adenocarcinoma Based on Pyroptosis-Related Genes
    Liu, Qi
    Fang, Liguang
    Gao, Chundi
    Liu, Cun
    Yu, Haiyang
    Wu, Jibiao
    Hou, Lin
    Sun, Changgang
    BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [5] Comprehensive Analysis of Pyroptosis-Related Genes and Tumor Microenvironment Infiltration Characterization in Papillary Renal Cell Carcinoma
    Zhang, Chiyu
    Huang, Ruizhen
    Xi, Xiaoqing
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9
  • [6] In-depth study of pyroptosis-related genes and immune infiltration in colon cancer
    Shang, Bingbing
    Qiao, Haiyan
    Wang, Liang
    Wang, Jingyu
    PEERJ, 2024, 12
  • [7] Comprehensive Analysis of Pyroptosis-Related Genes and Tumor Microenvironment Infiltration Characterization in Breast Cancer
    Wu, JianBin
    Zhu, Yuanyuan
    Luo, MingMin
    Li, Lei
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [8] Development and validation of a prognostic model related to pyroptosis-related genes for esophageal squamous cell carcinoma using bioinformatics analysis
    Zhang, Weiguang
    Zhang, Peipei
    Jiang, Junfei
    Peng, Kaiming
    Shen, Zhimin
    Kang, Mingqiang
    JOURNAL OF THORACIC DISEASE, 2022, 14 (08) : 2953 - +
  • [9] Analysis of Pyroptosis-Related Immune Signatures and Identification of Pyroptosis-Related LncRNA Prognostic Signature in Clear Cell Renal Cell Carcinoma
    Zhong, Ming
    Wang, Xiaohua
    Zhu, Enyi
    Gong, Lian
    Fei, Lingyan
    Zhao, Liang
    Wu, Keping
    Tang, Chun
    Zhang, Lizhen
    Wang, Zhongli
    Zheng, Zhihua
    FRONTIERS IN GENETICS, 2022, 13
  • [10] Identification and validation of pyroptosis-related genes as potential biomarkers for hypertrophic cardiomyopathy: A comprehensive bioinformatics analysis
    Tang, Xin
    Shen, Yi
    Lu, Yun
    He, Wanya
    Nie, Ying
    Fang, Xue
    Cai, Jinghui
    Si, Xiaoyun
    Zhu, Yan
    MEDICINE, 2024, 103 (04) : E36799