Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China.
Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Medicine (Baltimore). 2023 Jan 20;102(3):e32548. doi: 10.1097/MD.0000000000032548.
Laryngeal cancer (LC) is a malignant tumor that occurs in the head and neck. Laryngeal cancer is one of the most common cancers of the neck and head, and its prognosis has always been poor. The incidence of LC increased gradually and showed an early rising trend. Laryngeal cancer is rarely studied in relation to immunity, Malignant tumors will change the state of the human body in various ways to adapt to their own survival and avoid the immune system. This study aims to explore the immune molecular mechanism of laryngeal cancer through bioinformatics analysis. The gene expression data was downloaded for 3 microarray datasets: GSE27020, GSE59102, and GSE51985. CIBERSORT algorithm was performed to evaluate immune cell infiltration in tissues between LC and healthy control (HC). Differentially expressed genes (DEGs) were screened. Functional correlation of DEGs were analyzed by Gene Ontology, Gene Set Enrichment Analysis and Kyoto encyclopedia of genes and genomes. Candidate biomarkers were identified by cytoHubba of Cytoscape. Spearman correlations between the above biomarkers and infiltrating immune cells were explored using R software analysis. The immune cell types of LC and HC were significantly different. Twenty-one DEGs were obtained by cross-screening. The function of DEGs is closely related to the number of immune cells. Five central genes (TNNT3, TNNI2, Desmin, matrix metallopeptidase 9 and cytotoxic T lymphocyte antigen 4) were screened. The HUB gene was demonstrated to have the ability to diagnose LC and HC with good specificity and sensitivity. The correlation between immune cells and biomarkers showed that hub gene was positively correlated with macrophages and dendritic cells, and negatively correlated with CD4 + T cell. TNNT3, TNNI2, Desmin, matrix metallopeptidase 9 and cytotoxic T lymphocyte antigen 4 can be used as diagnostic biomarker for LC. Macrophages, dendritic cells and CD4 + T cell may participate in the occurrence and development of LC.
喉癌（LC）是一种发生在头颈部的恶性肿瘤。喉癌是头颈部最常见的癌症之一，其预后一直较差。LC 的发病率逐渐升高，呈早期上升趋势。LC 与免疫的关系很少被研究，恶性肿瘤会以各种方式改变人体状态，以适应自身的生存并避免免疫系统的攻击。本研究旨在通过生物信息学分析探讨喉癌的免疫分子机制。下载了 3 个微阵列数据集的基因表达数据：GSE27020、GSE59102 和 GSE51985。通过 CIBERSORT 算法评估 LC 组织与健康对照（HC）之间免疫细胞浸润情况。筛选差异表达基因（DEGs）。通过基因本体论、基因集富集分析和京都基因与基因组百科全书对 DEGs 的功能相关性进行分析。通过 Cytoscape 的 cytoHubba 识别候选生物标志物。使用 R 软件分析探索上述生物标志物与浸润免疫细胞之间的 Spearman 相关性。LC 和 HC 的免疫细胞类型存在显著差异。通过交叉筛选获得 21 个 DEGs。DEGs 的功能与免疫细胞数量密切相关。筛选出 5 个核心基因（TNNT3、TNNI2、结蛋白、基质金属蛋白酶 9 和细胞毒性 T 淋巴细胞抗原 4）。结果表明 HUB 基因具有良好的特异性和敏感性，可用于诊断 LC 和 HC。免疫细胞与生物标志物的相关性表明，枢纽基因与巨噬细胞和树突状细胞呈正相关，与 CD4+T 细胞呈负相关。TNNT3、TNNI2、结蛋白、基质金属蛋白酶 9 和细胞毒性 T 淋巴细胞抗原 4 可作为 LC 的诊断生物标志物。巨噬细胞、树突状细胞和 CD4+T 细胞可能参与 LC 的发生发展。
