{"title":"Immune-related signature identifies IL1R2 as an immunological and prognostic biomarker in pancreatic cancer","authors":"Chengcheng Wang, Yuan Chen, Xinpeng Yin, Ruiyuan Xu, Rexiati Ruze, Jianlu Song, Chenglin Hu, Yupei Zhao","doi":"10.1097/jp9.0000000000000175","DOIUrl":null,"url":null,"abstract":"\n \n Pancreatic cancer is one of the most aggressive malignancies, a robust prognostic signature and novel biomarkers are urgently needed for accurate stratification of the patients and optimization of clinical decision-making.\n \n \n \n A list of bioinformatic analysis were applied in public dataset to construct an immune-related signature. Furthermore, the most pivotal gene in the signature was identified. The potential mechanism of the core gene function was revealed through GSEA, CIBERSORT, ESTIMATE, immunophenoscore algorithm, single cell analysis and functional experiment.\n \n \n \n An immune-related prognostic signature and associated nomogram were constructed and validated. Among the genes constituting the signature, IL1R2 was identified as the gene occupying the most paramount position in the risk signature. Meanwhile, Knockdown of IL1R2 significantly inhibited the proliferation, invasion and migration ability of pancreatic cancer cells. Additionally, high IL1R2 expression was associated with reduced CD8+ T cell infiltration in pancreatic cancer microenvironment, which may be due to high PD-L1 expression in cancer cells. Finally, the IPS algorithm proved that patients with high IL1R2 expression possessed a higher tumor mutation burden and a higher probability of benefiting from immunotherapy.\n \n \n \n In conclusion, our study constructed an efficient immune-related prognostic signature and identified the key role of IL1R2 in the development of pancreatic cancer, as well as its potential to serve as a biomarker for immunotherapy efficacy prediction for pancreatic cancer.\n","PeriodicalId":92925,"journal":{"name":"Journal of pancreatology","volume":"33 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pancreatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/jp9.0000000000000175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Pancreatic cancer is one of the most aggressive malignancies, a robust prognostic signature and novel biomarkers are urgently needed for accurate stratification of the patients and optimization of clinical decision-making.
A list of bioinformatic analysis were applied in public dataset to construct an immune-related signature. Furthermore, the most pivotal gene in the signature was identified. The potential mechanism of the core gene function was revealed through GSEA, CIBERSORT, ESTIMATE, immunophenoscore algorithm, single cell analysis and functional experiment.
An immune-related prognostic signature and associated nomogram were constructed and validated. Among the genes constituting the signature, IL1R2 was identified as the gene occupying the most paramount position in the risk signature. Meanwhile, Knockdown of IL1R2 significantly inhibited the proliferation, invasion and migration ability of pancreatic cancer cells. Additionally, high IL1R2 expression was associated with reduced CD8+ T cell infiltration in pancreatic cancer microenvironment, which may be due to high PD-L1 expression in cancer cells. Finally, the IPS algorithm proved that patients with high IL1R2 expression possessed a higher tumor mutation burden and a higher probability of benefiting from immunotherapy.
In conclusion, our study constructed an efficient immune-related prognostic signature and identified the key role of IL1R2 in the development of pancreatic cancer, as well as its potential to serve as a biomarker for immunotherapy efficacy prediction for pancreatic cancer.