Department of Dentistry and Oral Surgery, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan.
Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
BMC Cancer. 2022 Apr 7;22(1):368. doi: 10.1186/s12885-022-09439-x.
This study aimed to evaluate the utility of inflammation-based prognostic scores (IBPS) and systemic immune-inflammation index (SII) in the treatment of oral cancer patients.
For the 183 patients enrolled in this study, IBPS and SII were calculated from peripheral blood samples obtained before and after treatment and at the time of relapse. We examined overall survival (OS) and disease-free survival (DFS) using previously reported cut-off values for IBPS. Cut-off values of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) were analyzed as NLR 1.79, PLR 114.97, LMR 5, and PNI 52.44. The cut-off value for SII was set at 569. OS and DFS were analyzed by Kaplan-Meier methods using the cutoff of each IBPS and SII. Univariate analysis and multivariate analysis using Cox proportional hazards were performed for OS and DFS.
Kaplan-Meier methods showed the high-PNI group showed good prognosis including OS and DFS, while the high-SII group displayed poor DFS. Univariate analysis showed that pre-treatment high PNI and low SII were significantly associated with better prognosis. Multivariate analysis identified pre-treatment PNI as independently associated with OS. For DFS, univariate analysis using Cox proportional hazards modeling showed that pre-treatment high NLR and high SII were significantly associated with worse prognosis, while high PNI was significantly associated with better prognosis. Multivariate analysis identified pre-treatment PNI and SII as independently associated with DFS. Parameters of PNI and SII components were compared between pre-treatment, post-treatment and at relapse in the high- and low-PNI groups. PNI was predominantly decreased in both high- and low-PNI groups at post-treatment and at relapse compared to pre-treatment. This trend was also observed for albumin.
Higher pre-treatment PNI was associated with better OS, while lower pre-treatment PNI and higher treatment SII were associated with poorer DFS in oral cancer patients. Our data indicated that PNI and SII might offer useful biomarkers for gauging prognosis and the efficacy of conventional therapies.
本研究旨在评估炎症相关预后评分(IBPS)和全身免疫炎症指数(SII)在口腔癌患者治疗中的应用价值。
本研究纳入了 183 例患者,通过检测治疗前后及复发时外周血样本,计算 IBPS 和 SII。我们使用先前报道的 IBPS 截断值评估总生存(OS)和无病生存(DFS)。中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)和预后营养指数(PNI)的截断值分别分析为 NLR 1.79、PLR 114.97、LMR 5 和 PNI 52.44。SII 的截断值设定为 569。使用每个 IBPS 和 SII 的截断值,通过 Kaplan-Meier 方法分析 OS 和 DFS。采用单因素和多因素 Cox 比例风险模型进行 OS 和 DFS 分析。
Kaplan-Meier 方法显示,高 PNI 组的 OS 和 DFS 预后较好,而高 SII 组的 DFS 预后较差。单因素分析显示,治疗前高 PNI 和低 SII 与更好的预后显著相关。多因素分析表明,治疗前 PNI 与 OS 独立相关。对于 DFS,Cox 比例风险模型的单因素分析显示,治疗前高 NLR 和高 SII 与较差的预后显著相关,而高 PNI 与较好的预后显著相关。多因素分析表明,治疗前 PNI 和 SII 与 DFS 独立相关。比较高和低 PNI 组治疗前、治疗后和复发时的 PNI 和 SII 成分参数。与治疗前相比,高和低 PNI 组在治疗后和复发时 PNI 均明显降低,白蛋白也呈现同样的趋势。
治疗前较高的 PNI 与 OS 较好相关,而治疗前较低的 PNI 和较高的 SII 与口腔癌患者的 DFS 较差相关。我们的数据表明,PNI 和 SII 可能为评估预后和常规治疗疗效提供有用的生物标志物。