Periostin is associated with prognosis and immune cell infiltration in pancreatic adenocarcinoma based on integrated bioinformatics analysis

被引:2
|
作者
Chen, Yijun [1 ]
Zhang, Fengyu [2 ]
Zhang, Bolin [1 ]
Trojanowicz, Bogusz [1 ]
Haemmerle, Monika [3 ]
Kleeff, Joerg [1 ]
Sunami, Yoshiaki [1 ]
机构
[1] Martin Luther Univ Halle Wittenberg, Univ Med Ctr Halle Saale, Dept Visceral Vasc & Endocrine Surg, Ernst Grube Str 40, D-06120 Halle, Saale, Germany
[2] Tianjin Med Univ, Sch Biomed Engn & Technol, Tianjin, Peoples R China
[3] Martin Luther Univ Halle Wittenberg, Univ Med Ctr Halle, Inst Pathol, Halle, Saale, Germany
关键词
bioinformatics; cancer-associated fibroblasts; pancreatic cancer; periostin; tumor-associated macrophages; CANCER-ASSOCIATED FIBROBLASTS; MICROENVIRONMENT;
D O I
10.1002/cnr2.1990
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundPancreatic cancer is one of the most aggressive human malignancies. Previous research has shown that periostin (POSTN) promotes pancreatic cancer cell proliferation, migration, and invasion. Further, POSTN is involved in tumor microenvironment remodeling during tumor progression. However, the relationship between POSTN expression, immune cell infiltration, and the efficacy of immunotherapy in pancreatic cancer is unclear.MethodsWe conducted a comprehensive evaluation of POSTN differential expression, examining mRNA and protein levels. To gather data, we utilized various databases including gene expression profiling interactive analysis 2 (GEPIA2), gene expression omnibus (GEO), and the human protein atlas (HPA). To investigate the correlation between POSTN expression and clinical characteristics, we analyzed data from the Kaplan-Meier plotter database and clinical data sourced from the cancer genome atlas (TCGA). Furthermore, we performed gene ontology (GO) analysis, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA). Additionally, we explored the relationship between POSTN expression and immune cell infiltration, as well as the immunophenoscore (IPS), by leveraging the cancer immunome atlas (TCIA) database. Lastly, we examined the tumor mutational burden (TMB) in pancreatic cancer in relation to POSTN expression.ResultsWhen compared with healthy pancreatic tissues, pancreatic cancer tissues displayed significantly higher levels of POSTN, which was indicative of a worse prognosis. POSTN expression was closely associated with extracellular matrix (ECM) organization, ECM-receptor interaction, and focal adhesion by GO, KEGG pathway, and GSEA analyses. Higher expression of POSTN was associated with increased infiltration of M2 macrophages. Additionally, increased IPS was linked to lower POSTN expression. IPS scores for CTLA4, PD-1/PDL1, and CTLA4/PD-1/PDL1 immune checkpoint inhibitors were also higher in the POSTN-low expression group, suggesting that lower expression of POSTN is associated with a better outcome with checkpoint inhibitor treatment.ConclusionPOSTN is related to pancreatic cancer prognosis, and may influence immune cell infiltration. High expression of POSTN is predicted to correlate with lower sensitivity to immunotherapy with checkpoint inhibitors in pancreatic cancer.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Progesterone receptor gene serves as a prognostic biomarker associated with immune infiltration in gastric cancer: a bioinformatics analysis
    Li, Manyu
    Zhou, Cheng
    TRANSLATIONAL CANCER RESEARCH, 2021, 10 (06) : 2663 - +
  • [32] Bioinformatics-based Analysis and Verification of Chromatin Regulators and the Mechanism of Immune Infiltration Associated with Myocardial Infarction
    Zhao, Huanyi
    Tang, Na
    Xu, Liang
    Li, Junlong
    Pi, Jianbin
    Chu, Qingmin
    CURRENT MEDICINAL CHEMISTRY, 2025, 32 (01) : 188 - 209
  • [33] Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia
    Wu, Shasha
    Xue, Tailian
    Li, Yilin
    Chen, Weikang
    Ren, Yan
    BMC PSYCHIATRY, 2025, 25 (01)
  • [34] Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma
    Zhang, Hui
    Zhong, Jianing
    Tu, Youbing
    Liu, Benquan
    Chen, Zhibo
    Luo, Yunchen
    Tang, Yaping
    Xiao, Fei
    Zhong, Jincai
    BIOMED RESEARCH INTERNATIONAL, 2019, 2019
  • [35] Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning
    Haoran Xie
    Junjun Wang
    Qiuyan Zhao
    Scientific Reports, 15 (1)
  • [36] The landscape of immune cell infiltration in the glomerulus of diabetic nephropathy: evidence based on bioinformatics
    Zhou, Wei
    Liu, Yaoyu
    Hu, Qinghong
    Zhou, Jiuyao
    Lin, Hua
    BMC NEPHROLOGY, 2022, 23 (01)
  • [37] The landscape of immune cell infiltration in the glomerulus of diabetic nephropathy: evidence based on bioinformatics
    Wei ZHOU
    Yaoyu LIU
    Qinghong Hu
    Jiuyao ZHOU
    Hua LIN
    BMC Nephrology, 23
  • [38] Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis
    Liu, Xinkui
    Wu, Jiarui
    Zhang, Dan
    Bing, Zhitong
    Tian, Jinhui
    Ni, Mengwei
    Zhang, Xiaomeng
    Meng, Ziqi
    Liu, Shuyu
    FRONTIERS IN GENETICS, 2018, 9
  • [39] Identification of novel hub genes and immune infiltration in atopic dermatitis using integrated bioinformatics analysis
    Zhou, Yaguang
    Zhou, Yong
    Zhang, Suli
    Yu, Shui
    Li, Zizhuo
    Yang, Zhou
    Wu, You
    Zhao, Zigang
    Zhang, Han
    Li, Chengxin
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [40] Bioinformatics analysis of BTK expression in lung adenocarcinoma: implications for immune infiltration, prognostic biomarkers, and therapeutic targeting
    Jiao, Lijun
    Tao, Yujian
    Ding, Huizhen
    Wu, Feng
    Liu, Yantong
    Li, Chuang
    Li, Feifei
    3 BIOTECH, 2024, 14 (09)