早期胰腺导管腺癌中LILR家族基因表达及肿瘤浸润免疫细胞的综合分析

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2023-02-07 DOI:10.1049/syb2.12058
Qiang Gao, Shutian Mo, Chuangye Han, Xiwen Liao, Chengkun Yang, Xiangkun Wang, Tianyi Liang, Yongfei He, Zijun Chen, Guangzhi Zhu, Hao Su, Xinping Ye, Tao Peng
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引用次数: 3

摘要

白细胞免疫球蛋白样受体(白细胞免疫球蛋白样受体)与肿瘤发生密切相关,但其在胰十二指肠切除术后早期胰导管腺癌(PDAC)中的临床价值尚不清楚。使用Kaplan-Meier和Cox比例风险回归模型研究肿瘤活检和外周血单个核细胞中LILR表达与预后的关系。根据预后模型计算每位患者的风险评分。采用DAVID、STRING、GeneMANIA和GSEA进行通路和功能分析。CIBERSORT算法用于分析肿瘤浸润性免疫细胞。生存分析显示,高水平的LILRA4 (p = 0.006)和LILRB4 (p = 0.04)与较好的总生存率显著相关。高水平的LILRA2 (p = 0.008)和LILRB4 (p = 0.038)与更好的无复发生存显著相关。JAK-STAT信号通路、T细胞活化的调控、免疫效应过程的调控以及肿瘤坏死因子超家族细胞因子的产生参与了影响GSEA高危人群预后不良的分子机制。CIBERSORT结果显示,高危组记忆活化CD4 T细胞和活化NK细胞的浸润比例显著升高,静息树突状细胞和中性粒细胞的浸润比例显著降低。LILRB4在影响早期PDAC的临床结局中起着至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Comprehensive analysis of LILR family genes expression and tumour-infiltrating immune cells in early-stage pancreatic ductal adenocarcinoma

Leucocyte immunoglobulin-like receptors (LILRs) are closely related to tumourigenesis, but their clinical value in early-stage pancreatic ductal adenocarcinoma (PDAC) after pancreaticoduodenectomy remains unknown. Kaplan–Meier and Cox proportional hazards regression models is used to investigate the association between LILR expression and prognosis in tumour biopsies and peripheral blood mononuclear cells. Risk score was calculated for each patient based on the prognostic model. DAVID, STRING, GeneMANIA, and GSEA were used to conduct pathway and functional analyses. The CIBERSORT algorithm is used to analyse tumour-infiltrating immune cells. Survival analysis showed that high levels of LILRA4 (p = 0.006) and LILRB4 (p = 0.04) were significantly associated with better overall survival. High levels of LILRA2 (p = 0.008) and LILRB4 (p = 0.038) were significantly associated with better relapse-free survival. JAK-STAT signalling pathway, regulation of T cell activation, regulation of the immune effector process, and tumour necrosis factor superfamily cytokine production were involved in molecular mechanisms that affected poor prognoses in the high-risk group in GSEA. CIBERSORT demonstrated that the high-risk group had significantly higher infiltrating fraction of memory-activated CD4 T cells and activated NK cells and lower fraction of resting dendritic cells and neutrophils. LILRB4 plays crucial roles in affecting the clinical outcomes of early-stage PDAC.

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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
期刊最新文献
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