Functional Verification and Prognostic Value of Neutrophil Extracellular Trap-Related Genes in Pancreatic Cancer Progression.

IF 3.1 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jiaxin Xu, Liying Tu, Lijing Ma, Qisheng Tang, Yu Cao, Lihong Jiang
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引用次数: 0

Abstract

Background: Pancreatic carcinoma (PC), a severely malignant neoplasm of the digestive system, is characterized by an unfavorable prognosis. Neutrophil extracellular trap (NETosis) is a neutrophilic inflammatory form of cell death. However, it is still unknown how they relate to one another. This study aims to explore the part NETosis plays in the onset and progression of pancreatic cancer.

Methods: Expression and clinical data for patients with pancreatic carcinoma were obtained from publicly accessible databases. Multigene features were constructed using the least absolute shrinkage and selection operator (LASSO). Bioinformatics analysis was combined with in vitro experiments to determine the relevant mechanism.

Results: Seventeen NETosis-related genes were identified. LASSO analysis finally led to the generation of six gene characteristics, which were divided into two clusters according to the expression level. The survival outcomes of the high- and low-risk groups differ significantly, and their predictive performance is good (p < 0.05). Drug sensitivity analysis confirmed that the high-risk cohort could benefit more from 5-fluorouracil, gemcitabine, and epirubicin (p < 0.01). Using survival analysis and single-cell binding quantitative real-time polymerase chain reaction (RT-qPCR), the crucial gene LGALS3 was identified (p < 0.0001). In vitro experiments demonstrated that inhibiting LGALS3 expression may significantly decrease the proliferation and movement of PANC-1 and SW1990 cells (p < 0.05).

Conclusion: We established a 6-gene risk scoring model and confirmed the effect of LGALS3 on the development of PC.

中性粒细胞胞外陷阱相关基因在胰腺癌进展中的功能验证和预后价值。
背景:胰腺癌是一种严重的消化系统恶性肿瘤,其特点是预后不良。中性粒细胞胞外陷阱(NETosis)是一种细胞死亡的中性炎症形式。然而,它们之间的关系尚不清楚。本研究旨在探讨NETosis在胰腺癌发生和发展中的作用。方法:从可公开访问的数据库中获取胰腺癌患者的表达和临床数据。使用最小绝对收缩和选择算子(LASSO)构建多基因特征。生物信息学分析与体外实验相结合,确定其作用机制。结果:共鉴定出17个netosis相关基因。LASSO分析最终得到6个基因特征,根据表达水平分为2个聚类。高危组和低危组的生存结局差异有统计学意义,预测效果较好(p < 0.05)。药物敏感性分析证实,高危队列从5-氟尿嘧啶、吉西他滨和表柔比星中获益更多(p < 0.01)。通过生存分析和单细胞结合定量实时聚合酶链反应(RT-qPCR),鉴定出关键基因LGALS3 (p < 0.0001)。体外实验表明,抑制LGALS3表达可显著降低PANC-1和SW1990细胞的增殖和运动(p < 0.05)。结论:建立了6基因风险评分模型,证实了LGALS3对PC发生发展的影响。
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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CiteScore
3.50
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