口腔生物医学 ›› 2021, Vol. 12 ›› Issue (4): 247-251.

• 论著 • 上一篇    下一篇

基于生物信息学解析口腔鳞状细胞癌免疫异质细胞群与三级淋巴结构的关联性

苏怡文1,邱晓慧2,刘俊1   

  1. 1. 北京大兴兴业口腔医院
    2. 青岛大学附属妇女儿童医院
  • 收稿日期:2021-10-14 修回日期:2021-11-10 出版日期:2021-12-25 发布日期:2022-01-04
  • 通讯作者: 刘俊 E-mail:lj_dentist@aliyun.com

Dissecting the relationship between the heterogeneous immune cells and tertiary lymphatic structure in oral squamous cell carcinoma based on bioinformatic analysis

  • Received:2021-10-14 Revised:2021-11-10 Online:2021-12-25 Published:2022-01-04
  • Contact: Jun Liu E-mail:lj_dentist@aliyun.com

摘要: 目的:探讨口腔鳞状细胞癌(OSCC)的细胞异质性及三级淋巴结构(TLS)对患者免疫细胞数量及功能的影响,以建立OSCC的免疫图谱,解析TLS在OSCC发病机制中的作用。方法:利用生物信息学方法对初诊OSCC患者肿瘤组织的单细胞转录组测序数据进行数据降维、细胞分群,并对细胞群体进行注释;比较分析TLS-/+患者免疫细胞群体的差异及内在分子特征差异;利用R编程语言及多种R包对数据分析结果进行可视化展示。结果:OSCC患者中存在异质性细胞群体,其中含典型的免疫细胞群体;TLS+患者的免疫细胞比例显著增加;TLS+患者的T细胞群体显著富集与T细胞分化、活化及信号转导相关等信号通路相关;单核巨噬细胞群体的差异分析结果显示,TLS+患者在干扰素信号应答、细胞因子产生等通路显著富集。结论:OSCC患者中存在明显的异质性免疫细胞群体,并且这些免疫细胞群体在TLS+/患者中存在显著的分子差异,这对研究OSCC发病机制、预后及未来潜在的靶向治疗具有重要的提示意义。

关键词: 口腔鳞状细胞癌, 单细胞转录组测序, 三级淋巴结构, 免疫细胞, 生物信息学分析

Abstract: Objective:To investigate the cell heterogeneity and the effects of tertiary lymphatic structure (TLS) on the number and functions of immune cells in oral squamous cell carcinoma (OSCC), establish the immune cell atlas of OSCC and dissect the roles of TLS in the pathogenesis of OSCC. Methods:Based on the single cell RNA sequencing data from the primary diagnosed OSCC patients, we used the bioinformatics methods and tools to perform dimension reduction, cell clustering and annotation. Differences of the immune cell composition and internal molecular characteristics in TLS-/+ patients were compared and analyzed. R programming language and R packages were used to perform data analysis and visualize the results. Results:Heterogeneous immune cell populations existed in OSCC patients, including typical immune cell populations; The proportion of immune cells in TLS+ patients were significantly increased and the T cells of TLS+ patients were enriched in pathways related to T cell differentiation, T cell activation and signal transduction. Furthermore, differences analysis of monocyte/macrophages revealed that the interferon signal response and cytokine product were enhanced in TLS+ patients. Conclusions:Heterogeneous immune cell populations existed in OSCC patients and significant molecular differences of these immune cells were dissected between TLS+ and TLS- patients, which could play important roles in exploring the pathogenesis, prognosis and potential targeted therapies of OSCC.

Key words: OSCC, Single-cell RNA sequencing, TLS, Immune cells, Bioinformatics analysis