Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
BMC Pulm Med. 2022 Mar 25;22(1):104. doi: 10.1186/s12890-022-01901-7.
The study objective was to investigate the use of peripheral blood biomarkers as predictors of patient survival. The aim of this study was to identify the baseline peripheral blood biomarkers associated with clinical outcome in patients with early lung cancer (stage I-II) treated with surgery.
We included and analysed data from 376 patients with early-stage lung cancer who underwent a standard lobectomy. Univariate and multivariate Cox regression analyses were performed on all patients to assess the relationships between progression-free survival (PFS) and overall survival (OS) and the peripheral blood biomarker metrics measured before surgical treatment. The peripheral blood parameters included monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and dimeric fibrin fragment D (D-dimer).
After univariate Cox regression analysis, low MLR, low NLR, low PLR and low D-dimer values were significantly associated with both better OS and PFS (all p < 0.05). In multivariate Cox regression analysis, a low MLR was significantly and independently associated with both better overall survival and better progression-free survival (both p <0.05). A low D-dimer level was significantly and independently associated with better overall survival (p <0.05). Furthermore, the categorization of patients according to the number of factors with favourable results revealed that those without favourable results had significantly worse outcomes than that of those patients with at least one.
A baseline signature of low MLR, low NLR, low PLR, and low D-dimer values was associated with a better survival outcome for patients treated with surgery. Patients with more favourable results had better survival outcomes.
本研究旨在探讨外周血生物标志物作为患者生存预测指标的应用。本研究旨在确定与接受手术治疗的早期肺癌(Ⅰ-Ⅱ期)患者临床结局相关的基线外周血生物标志物。
我们纳入并分析了 376 例接受标准肺叶切除术的早期肺癌患者的数据。对所有患者进行单因素和多因素 Cox 回归分析,以评估无进展生存期(PFS)和总生存期(OS)与手术前外周血生物标志物指标之间的关系。外周血参数包括单核细胞与淋巴细胞比值(MLR)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和二聚体纤维蛋白片段 D(D-二聚体)。
单因素 Cox 回归分析后,低 MLR、低 NLR、低 PLR 和低 D-二聚体值与 OS 和 PFS 均显著相关(均 p<0.05)。多因素 Cox 回归分析显示,低 MLR 与总生存和无进展生存均显著相关(均 p<0.05)。低 D-二聚体水平与总生存显著相关(p<0.05)。此外,根据具有有利结果的因素数量对患者进行分类显示,无有利结果的患者的结局明显差于至少有一个有利结果的患者。
基线时 MLR、NLR、PLR 和 D-二聚体值较低与接受手术治疗的患者生存结局较好相关。具有更多有利结果的患者生存结局更好。