首都医科大学学报 ›› 2024, Vol. 45 ›› Issue (6): 1038-1049.doi: 10.3969/j.issn.1006-7795.2024.06.014

• 基础研究 • 上一篇    下一篇

口腔鳞状细胞癌与干燥综合征的交叉免疫基因预测分析

袁文思1,  吴亚珩2,  吴冬雪3,  周  妍4*   

  1. 1. 首都医科大学附属北京口腔医院口腔颌面外科,北京 100050;2. 首都医科大学附属北京潞河医院教育处,北京 101100;3. 首都医科大学附属北京妇产医院/北京妇幼保健院新生儿科,北京 100020;4. 首都医科大学基础医学院生物化学与分子生物学系,北京  100069
  • 收稿日期:2024-04-07 出版日期:2024-12-21 发布日期:2024-12-18
  • 通讯作者: 周 妍 E-mail:zhouyan125@ccmu.edu.cn
  • 基金资助:
    国家自然科学基金项目(81601993)。

Prediction and analysis of cross immune genes between oral squamous cell carcinoma and Sjogren's syndrome

Yuan Wensi1, Wu Yaheng2, Wu Dongxue3, Zhou Yan4*   

  1. 1.Department of Oral and Maxillofacial Surgery, Beijing Stomatological Hospital, Capital Medical University, Beijing 100050, China; 2. Department of Education, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, China; 3. Neonatal Intensive Care Unit, Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital, Beijing 100020 China; 4. Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
  • Received:2024-04-07 Online:2024-12-21 Published:2024-12-18
  • Supported by:
    This study was supported by National Natural Science Foundation of China (81601993).

摘要: 目的  通过生物信息学法筛选口腔鳞状细胞癌(oral squamous cell carcinoma,OSCC)与干燥综合征(Sjogrens syndrome,SS)在转录水平的交叉免疫基因(cross immune genes,CIGs)并分析免疫浸润状态,为OSCC在SS患者中的诊断和治疗提供科学依据。方法  从GEO数据库下载OSCC和SS数据集,使用limma R软件包结合Venn图筛选OSCC和SS中的差异表达基因(differentially expressed genes,DEGs),再与免疫基因数据集进行交叉筛选获得CIGs。采用最小绝对收缩和选择算子(least absolute shrinkage and selection operator, LASSO)回归算法筛选核心CIGs。利用CIBERSORT R软件包分析浸润的免疫细胞类型及比例。结果  从OSCC数据集中筛选出2 885个DEGs,从SS数据集中筛选出2 472个DEGs,交叉分析得到55个CIGs;经LASSO回归分析后二次交叉筛选出RASGRP3为潜在的核心CIGs,在OSCC和SS中表达均上调。另外,在OSCC和SS中,记忆CD4+T细胞、巨噬细胞和活化自然杀伤(natural killer, NK)细胞浸润均与RASGRP3相关。结论  癌基因RASGRP3可作为OSCC和SS的潜在治疗靶点,并对二者的诊断具有参考价值;RASGRP3与浸润的NK细胞、巨噬细胞、CD4+T细胞等密切相关,为探索针对SS患者OSCC的免疫治疗策略提供新思路。

关键词: 口腔鳞状细胞癌, 干燥综合征, 核心交叉免疫基因, 免疫细胞, 免疫浸润, 生物信息学分析

Abstract: Objective  To screen the cross immune genes (CIGs) and immune infiltration status of oral squamous cell carcinoma (OSCC) and Sjogrens syndrome (SS) in the transcriptional level by bioinformatics analysis to provide scientific basis for diagnosis and therapy of OSCC in SS patients. Methods  OSCC and SS datasets were downloaded from GEO database. The differentially expressed genes (DEGs) in OSCC and SS were screened by limma R package combined with Venn map, and then the CIGs were obtained by cross screening with immune gene datasets. Least absolute shrinkage and selection operator (LASSO) regression was used to screen core CIGs. The CIBERSORT R package was used to analyze the type and ratio of the infiltrated immune cells. Results  We screened 2 885 DEGs by OSCC dataset and 2 472 DEGs by SS dataset, then 55 CIGs were predicted via further intersecting with DEGs; second cross screening following LASSO regression analysis showed that RASGRP3 was a potential core CIG, and was upregulated in both OSCC and SS. Besides, immune infiltration of memory CD4+T cells, macrophage and activated natural killer (NK) cells were associated with RASGRP3 levels in OSCC and SS. Conclusions  The oncogene RASGRP3 can serve as a potential therapeutic target and biomarker for SS and OSCC. RASGRP3 was closely related to CD4+T cells, macrophage and activated NK cells, which might provide a new idea for exploring the immunotherapy strategy of OSCC for SS patients.

Key words: oral squamous cell carcinoma, Sjogren's syndrome, core cross immune genes, immune cells, immune infiltration, bioinformatics analysis

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