Wang Kaiqin, Zhang Ruizhe, Li Changya, Chen Huarong, Lu Jiafeng, Zhao Houyu, Zhuo Xianlu
Department of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Department of Otolaryngology, Anshun People's Hospital, Anshun, Guizhou, China.
Discov Oncol. 2024 Jul 16;15(1):284. doi: 10.1007/s12672-024-01084-z.
Angiogenesis-associated genes (AAGs) play a critical role in cancer patient survival. However, there are insufficient reports on the prognostic value of AAGs in head and neck squamous cell carcinoma (HNSC). Therefore, this study aimed to investigate the correlation between AAG expression levels and survival in HNSC patients, explore the predictive value of signature genes and lay the groundwork for future in-depth research.
Relevant data for HNSC were obtained from the databases. AAGs-associated signature genes linked to prognosis were screened to construct a predictive model. Further analysis was conducted to determine the functional correlation of the signature genes.
The signature genes (STC1, SERPINA5, APP, OLR1, and PDGFA) were used to construct prognostic models. Patients were divided into high-risk and low-risk groups based on the calculated risk scores. Survival analysis showed that patients in the high-risk group had a significantly lower overall survival than those in the low-risk group (P < 0.05). Therefore, this prognostic model was an independent prognostic factor for predicting HNSC. In addition, patients in the low-risk group were more sensitive to multiple anti-cancer drugs. Functional correlation analysis showed a good correlation between the characteristic genes and HNSC metastasis, invasion, and angiogenesis.
This study established a new prognostic model for AAGs and may guide the selection of therapeutic agents for HNSC. These genes have important functions in the tumor microenvironment; it also provides a valuable resource for the future clinical trials investigating the relationship between HNSC and AAGs.
血管生成相关基因（AAGs）在癌症患者生存中起关键作用。然而，关于AAGs在头颈部鳞状细胞癌（HNSC）中的预后价值报道不足。因此，本研究旨在探讨HNSC患者中AAG表达水平与生存之间的相关性，探索特征基因的预测价值，并为未来的深入研究奠定基础。
从数据库中获取HNSC的相关数据。筛选与预后相关的AAGs特征基因以构建预测模型。进行进一步分析以确定特征基因的功能相关性。
使用特征基因（STC1、SERPINA5、APP、OLR1和PDGFA）构建预后模型。根据计算出的风险评分将患者分为高风险组和低风险组。生存分析表明，高风险组患者的总生存期明显低于低风险组（P < 0.05）。因此，该预后模型是预测HNSC的独立预后因素。此外，低风险组患者对多种抗癌药物更敏感。功能相关性分析表明特征基因与HNSC转移、侵袭和血管生成之间具有良好的相关性。
本研究建立了一种新的AAGs预后模型，可能指导HNSC治疗药物的选择。这些基因在肿瘤微环境中具有重要功能；它还为未来研究HNSC与AAGs之间关系的临床试验提供了有价值的资源。
