E3 ubiquitin ligase FBXW11 as a novel inflammatory biomarker is associated with immune infiltration and NF-icB pathway activation in pancreatitis and pancreatic cancer

被引:5
作者
Tan, Peng [1 ,2 ]
Cai, Shuang [1 ]
Huang, Zhiwei [3 ]
Li, Mo [3 ]
Liu, Shenglu [3 ]
Chen, Jiatong [3 ]
Fu, Wenguang [2 ,3 ]
Zhao, Lingyu [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Genet & Dev Biol, Sch Basic Med Sci, Dept Cell Biol & Genet,Hlth Sci Ctr, Xian 710000, Peoples R China
[2] Southwest Med Univ, Dept Gen Surg Hepatopancreatobiliary Surg, Metab Hepatobiliary & Pancreat Dis Key Lab Luzhou, Affiliated Hosp,Academician Expert Workstn Sichuan, Luzhou 646000, Peoples R China
[3] Southwest Med Univ, Affiliated Hosp, Dept Gen Surg Hepatopancreatobiliary Surg, Luzhou 646000, Peoples R China
基金
中国国家自然科学基金;
关键词
Pancreatitis; Pancreatic cancer; FBXW11; Immune infiltration; NF-icB pathway; I-KAPPA-B; MACROPHAGES; DEGRADATION; ADENOCARCINOMA; PATHOGENESIS; STATISTICS; SEVERITY; TARGETS; HOMOLOG; HOS;
D O I
10.1016/j.cellsig.2024.111033
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: Pancreatic cancer (pancreatic ductal adenocarcinoma, PDAC) is an aggressive disease with an overall poor prognosis. Pancreatitis is a major risk factor for the development of PDAC. Due to the lack of reliable and accurate biomarkers, the diagnosis, treatment, and prognosis of PDAC face great challenges. It is of great significance to elucidate the pathogenesis of PDAC and explore novel inflammatory biomarkers. Methods: We identified E3 ubiquitin ligases associated with pancreatic inflammation by combining multiple GEO datasets and UbiNet 2.0, and integrating the WGCNA algorithm and Limma R package. A risk score model for PDAC patients was established by using LASSO regression. We investigated the correlation between FBXW11 and immune cell infiltration using CIBERSORT, mMCP-counter, ImmuCellAI-mouse, QUANTISEQ, and TIMER algorithms, based on GEO, ArrayExpress, and TCGA datasets. We used Ubibrowser 2.0 to predict potential substrates for FBXW11. WikiPathway, MSigDB Hallmark, and Elsevier pathway analysis of FBXW11 key substrates were also performed using the EnrichR database. We detected protein expression through IHC, immunofluorescence, and western blot in the cerulein-induced acute pancreatitis mouse model. Results: We first identified that FBXW11 exhibited a clear tendency to gradually increase in normal, pancreatitis, and PDAC patients. The validation analysis revealed that the FBXW11 protein exhibited significantly high expression in cerulein-induced acute pancreatitis mice, with its distribution primarily observed in the cytoplasm. Simultaneously, we developed a risk model utilizing the genes associated with FBXW11 to forecast the outcome of patients with PDAC and the likelihood of pancreatitis advancing to pancreatic cancer. Functional analysis showed that FBXW11, as a novel inflammatory biomarker, had a significant positive correlation with macrophage infiltration and the NF-icB signaling pathway. Finally, the western blot assay of the NF-icB signaling pathway in pancreatic tissues demonstrated that high activation of NF-icB was correlated with high expression of FBXW11. Conclusions: Our research not only provides evidence for FBXW11 as a novel inflammatory biomarker but also provides new insights into the research and clinical treatment of pancreatic cancer.
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页数:17
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