大理大学学报 ›› 2025, Vol. 10 ›› Issue (2): 60-66.DOI: 10. 3969 / j. issn. 2096-2266. 2025. 02. 013

• 临床医学 • 上一篇    下一篇

血清HGF、uPA、IL-17、IL-24对口腔鳞状细胞癌患者预后的影响

洪 虓1,廖圣恺1,周 晶2,李建成1*   

  1. (1.蚌埠医科大学第一附属医院口腔科,安徽蚌埠 233000; 2.解放军联勤保障部队第902医院口腔科,
    安徽蚌埠 233000)
  • 收稿日期:2024-04-01 修回日期:2024-06-04 出版日期:2025-02-15 发布日期:2025-02-26
  • 通讯作者: 李建成,主任医师,E-mail:ljc7426@163.com。
  • 作者简介:洪虓,副主任医师,主要从事口腔颌面外科研究。
  • 基金资助:
    安徽省高校协同创新基金项目(GXXT-2020-021)

Effects of Serum HGF, uPA, IL-17, and IL-24 on the Prognosis of Patients with Oral Squamous#br# Cell Carcinoma

Hong Xiao¹, Liao Shengkai¹, Zhou Jing², Li Jiancheng¹*   

  1. (1. Department of Stomatology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui 233000, China; 2.
    Department of Stomatology, The 902nd Hospital of the PLA Joint Logistics Support Force, Bengbu, Anhui 233000, China)
  • Received:2024-04-01 Revised:2024-06-04 Online:2025-02-15 Published:2025-02-26

摘要: 目的:探讨血清肝细胞生长因子(HGF)、尿激酶纤维蛋白溶酶原激活剂(uPA)、白介素-17(IL-17)和白介素-24(IL-24)
对口腔鳞状细胞癌(OSCC)患者预后的影响。方法:回顾性分析75例OSCC患者的临床资料,检测患者术前血清HGF、uPA、IL-17、
IL-24的含量,比较不同临床特征患者间上述指标的差异。应用Kaplan-Meier生存分析和COX回归模型评估各指标对预后的
影响,采用受试者操作特征曲线评估各指标的诊断效能。结果:Kaplan-Meier生存分析和COX回归结果显示,分化程度、临床分
期、上述血清学指标的含量均是影响OSCC预后的独立因素;各指标预测预后的曲线下面积的值较高。结论:血清HGF、uPA、
IL-17、IL-24水平变化与OSCC患者的预后密切相关,可作为重要的预后评估指标。结合临床特征有助于预测预后风险并指
导个体化治疗。

关键词: 口腔鳞状细胞癌, 预后, 诊断

Abstract: Objective: To investigate the impact of serum hepatocyte growth factor (HGF), urokinase plasminogen activator (uPA),
interleukin-17 (IL-17), and interleukin-24 (IL-24) on the prognosis of patients with oral squamous cell carcinoma (OSCC).
Methods: A retrospective analysis was conducted on clinical data from 75 OSCC patients. Preoperative serum levels of HGF, uPA, IL-
17, and IL-24 were measured, and the differences in these biomarkers among patients with varying clinical characteristics were
compared. Kaplan-Meier survival analysis and COX regression models were used to assess the impact of these biomarkers on
prognosis. Receiver operator characteristic curves were employed to evaluate the diagnostic efficacy of each biomarker. Results:
Kaplan-Meier analysis and COX regression results indicated that the degree of differentiation, clinical stage, and the levels of the
aforementioned serum biomarkers were independent factors influencing OSCC prognosis. The area under the curve values for each
biomarker′s prognostic prediction were relatively high. Conclusion: Serum levels of HGF, uPA, IL-17, and IL-24 are closely related
to the prognosis of OSCC patients and can serve as important prognostic indicators. Integrating these biomarkers with clinical
characteristics helps in predicting prognosis and guiding personalized treatment.

Key words: oral squamous cell carcinoma, prognosis, diagnosis

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