A risk signature based on endoplasmic reticulum stress-associated genes predicts prognosis and immunity in pancreatic cancer

被引:2
|
作者
Chen, Haofei [1 ,2 ]
Xu, Ning [3 ]
Xu, Jia [4 ]
Zhang, Cheng [3 ]
Li, Xin [2 ]
Xu, Hao [5 ]
Zhu, Weixiong [1 ]
Li, Jinze [6 ]
Liang, Daoming [3 ]
Zhou, Wence [1 ,2 ]
机构
[1] Lanzhou Univ, Clin Med Sch 2, Lanzhou, Peoples R China
[2] Lanzhou Univ, Hosp 2, Dept Gen Surg, Lanzhou, Peoples R China
[3] Kunming Med Univ, Affiliated Hosp 2, Kunming, Peoples R China
[4] Wuhan Blood Ctr, Wuhan, Peoples R China
[5] Lanzhou Univ, Hosp 1, Dept Gen Surg, Lanzhou, Peoples R China
[6] Third Peoples Hosp Hubei Prov, Dept Gastrointestinal Surg, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
ER stress; immune microenvironment; prognosis; bioinformatics; pancreatic cancer; GEMCITABINE; EXPRESSION; ADENOCARCINOMA; PROGRESSION; ACTIVATION; APOPTOSIS; PROTEINS; DEATH; CELLS;
D O I
10.3389/fmolb.2023.1298077
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Introduction: The involvement of endoplasmic reticulum (ER) stress in cancer biology is increasingly recognized, yet its role in pancreatic cancer (PC) remains unclear. This study aims to elucidate the impact of ER stress on prognosis and biological characteristics in PC patients.Methods: A bioinformatic analysis was conducted using RNA-seq data and clinicopathological information from PC patients in the TCGA and ICGC databases. The ER stress-associated gene sets were extracted from MSigDB. ER stress-associated genes closely linked with overall survival (OS) of PC patients were identified via log-rank test and univariate Cox analysis, and further narrowed by LASSO method. A risk signature associated with ER stress was formulated using multivariate Cox regression and assessed through Kaplan-Meier curves, receiver operating characteristic (ROC) analyses, and Harrell's concordance index. External validation was performed with the ICGC cohort. The single-sample gene-set enrichment analysis (ssGSEA) algorithm appraised the immune cell infiltration landscape.Results: Worse OS in PC patients with high-risk signature score was observed. Multivariate analysis underscored our ER stress-associated signature as a valuable and independent predictor of prognosis. Importantly, these results based on TCGA were further validated in ICGC dataset. In addition, our risk signature was closely associated with homeostasis, protein secretion, and immune regulation in PC patients. In particular, PC microenvironment in the high-risk cluster exhibited a more immunosuppressive status. At last, we established a nomogram model by incorporating the risk signature and clinicopathological parameters, which behaves better in predicting prognosis of PC patients.Discussion: This comprehensive molecular analysis presents a new predictive model for the prognosis of PC patients, highlighting ER stress as a potential therapeutic target. Besides, the findings indicate that ER stress can have effect modulating PC immune responses.
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页数:17
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