Expression characteristics of IGFBP1 in gastric cancer and bioinformatics analysis of its prognostic effect and mechanism(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第5期
- Page:
- 628-639
- Research Field:
- 医学生物信息
- Publishing date:
Info
- Title:
- Expression characteristics of IGFBP1 in gastric cancer and bioinformatics analysis of its prognostic effect and mechanism
- Author(s):
- XIONG Shan1; SHEN Hong1; 2
- 1. School of Medicine, South China University of Technology, Guangzhou 510006, China 2. Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Keywords:
- Keywords gastric cancer IGFBP1 immune cell infiltration bioinformatics prognosis
- PACS:
- R318.04；R735.2
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.05.015
- Abstract:
- Abstract: Objective To analyze IGFBP1 expression in gastric cancer, prognosis and involved biological functions through comprehensive approach, and to explore its diagnostic and therapeutic value in gastric cancer. Methods The expression level of IGFBP1 in gastric cancer was obtained using TCGA data, and the differences of expression in different clinicopathological stages and survival states were analyzed. Kaplan-Meier curve was used to describe the relationship between IGFBP1 expression and prognosis of gastric cancer patients. The diagnostic and prognostic value of IGFBP1 in gastric cancer was evaluated using ROC curve, Cox regression and Meta-analysis. A prognostic model associated with IGFBP1 was established after LASSO regression analysis, and the IGFBP1-related core genes were identified in PPI network. GO, KEGG and CIBERSORT were used to analyze the potential pathogenic pathways and immune cell infiltration associated with IGFBP1 in gastric cancer. The correlation between IGFBP1 and anti-tumor drug sensitivity was predicted based on Cell Miner database. Results IGFBP1 was abnormally expressed in a variety of cancers, including gastric cancer, and its expression was significantly up-regulated in patients with stage III-IV gastric cancer. Cox regression identified IGFBP1 as an independent risk factor, and prognostic analysis suggested that IGFBP1 was closely associated with bleak prognosis. GO analysis indicated that IGFBP1-related differential genes were enriched in positive regulation of cell adhesion, vesicle lumen, and serine hydrolase activity while KEGG analysis suggested that they were enriched in IL-17 signaling pathway. The analysis of tumor-associated immune cell infiltration showed significant differences in immune cell infiltration between high and low IGFBP1 expression groups. IGFBP1 related gastric cancer prognosis model was constructed using univariate Cox and LASSO regression analyses. Seven core genes were identified in PPI network, enriching in cholesterol metabolism, pyrimidine metabolism, and PPAR signaling pathway. The expression level of IGFBP1 was correlated with the sensitivity to Dasatinib and other drugs. Conclusion The up-regulated expression of IGFBP1 in gastric cancer leads to poor prognosis, which may regulate the occurrence and development of gastric cancer by affecting IL-17 signaling pathway and M0 macrophage infiltration.
Last Update: 2024-05-24