Caruntu Ana, Moraru Liliana, Lupu Mihai, Taubner Lacramioara, Caruntu Constantin, Tanase Cristiana
Department of Oral and Maxillofacial Surgery, Carol Davila Central Military Emergency Hospital, 010825 Bucharest, Romania.
Department of Oral and Maxillofacial Surgery, Faculty of Dental Medicine, Titu Maiorescu University, 031593 Bucharest, Romania.
Cancers (Basel). 2021 Sep 5;13(17):4475. doi: 10.3390/cancers13174475.
(1) Background: Oral squamous cell carcinoma (OSCC) is a common malignancy, and the impact of immune and inflammatory mechanisms in its development and progression are of major interest. The aim of our study is to assess the prognostic potential of circulating immune and inflammatory elements determined preoperatively in patients with OSCC, as well as the development of a new compound parameter with predictive value. (2) Methods: We assessed preoperative fibrinogen (Fib) and the platelet-to-lymphocyte ratio (PLR) in 111 OSCC patients. Using a mathematic algorithm, we determined a composite parameter with cumulative information from Fib and PLR, named Fibrinogen-PLR Algorithm (FiPLA). Survival analysis, followed by bivariate and multivariate analyses, was subsequently conducted. (3) Results: Increased preoperative Fib and PLR levels were associated with poor outcome in OSCC ( = 0.0001 and = 0.0015, respectively). Preoperative FiPLA values were also associated with poor patient survival ( < 0.0001). Multivariate analysis confirmed the independent prognostic role for FiPLA only (CI95% 1.232-67.770, = 0.03), showing the superior predictive value of FiPLA compared to its individual components. (4) Conclusions: Preoperative assessments of circulating immune and inflammatory elements can provide high-quality prognostic information, and they represent valuable tools in clinical practice, facilitating the early risk stratification of patients with OSCC.
(1) 背景：口腔鳞状细胞癌（OSCC）是一种常见的恶性肿瘤，免疫和炎症机制在其发生发展中的作用备受关注。本研究旨在评估术前测定的循环免疫和炎症指标对OSCC患者的预后价值，以及开发一种具有预测价值的新复合参数。(2) 方法：我们评估了111例OSCC患者术前的纤维蛋白原（Fib）和血小板与淋巴细胞比值（PLR）。使用数学算法，我们从Fib和PLR中确定了一个具有累积信息的复合参数，称为纤维蛋白原 - PLR算法（FiPLA）。随后进行了生存分析，接着进行了双变量和多变量分析。(3) 结果：术前Fib和PLR水平升高与OSCC患者的不良预后相关（分别为 = 0.0001和 = 0.0015）。术前FiPLA值也与患者生存率低相关（< 0.0001）。多变量分析证实只有FiPLA具有独立的预后作用（CI95% 1.232 - 67.770， = 0.03），表明FiPLA与其单个组成部分相比具有更高的预测价值。(4) 结论：术前对循环免疫和炎症指标的评估可以提供高质量的预后信息，它们是临床实践中的宝贵工具，有助于对OSCC患者进行早期风险分层。
