Department of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China.
Department of Pathology and Pathophysiology, Chongqing Medical University, Chongqing, China.
Biomed Res Int. 2023 Jan 21;2023:1733100. doi: 10.1155/2023/1733100. eCollection 2023.
Laryngeal squamous cell cancer (LSCC) is a common malignant tumor with a high degree of malignancy, and its etiology remains unclear. Therefore, screening potential biomarkers is necessary to facilitate the treatment and diagnosis of LSCC. Robust rank aggregation (RRA) analysis was used to integrate two gene expression datasets of LSCC patients from the Gene Expression Omnibus (GEO) database and identify differentially expressed genes (DEGs) between LSCC and nonneoplastic tissues. A gene coexpression network was constructed using weighted gene correlation network analysis (WGCNA) to explore potential associations between the module genes and clinical features of LSCC. Combining differential gene expression analysis and survival analysis, we screened potential hub genes, including CDK1, SPC24, HOXB7, and SELENBP1. Subsequently, western blotting and immunohistochemistry were used to test the protein levels in clinical specimens to verify our findings. Finally, four candidate diagnostic and prognostic biomarkers (CDK1, SPC24, HOXB7, and SELENBP1) were identified. We propose, for the first time, that SPC24 is a gene that may associate with LSCC malignancy and is a novel therapeutic target. These findings may provide important mechanistic insight of LSCC.
喉鳞状细胞癌(LSCC)是一种恶性程度较高的常见恶性肿瘤,其病因仍不清楚。因此,筛选潜在的生物标志物对于 LSCC 的治疗和诊断具有重要意义。本研究使用稳健秩聚合(RRA)分析整合了来自基因表达综合数据库(GEO)的两个 LSCC 患者的基因表达数据集,以鉴定 LSCC 与非肿瘤组织之间的差异表达基因(DEGs)。使用加权基因相关网络分析(WGCNA)构建基因共表达网络,以探索模块基因与 LSCC 临床特征之间的潜在关联。结合差异基因表达分析和生存分析,筛选潜在的枢纽基因,包括 CDK1、SPC24、HOXB7 和 SELENBP1。随后,使用 Western blot 和免疫组织化学检测临床标本中的蛋白水平,以验证我们的发现。最后,鉴定出四个候选诊断和预后生物标志物(CDK1、SPC24、HOXB7 和 SELENBP1)。本研究首次提出 SPC24 可能与 LSCC 的恶性程度相关,是一种新的治疗靶点。这些发现可能为 LSCC 的发病机制提供重要的见解。