Yin Xinming, Wu Ling, Yang Hui, Yang HongBo
Department of Gynaecology, Zhengjiang 4th Hospital of JiangSu Province, Zhengjiang.
Huaian Maternity and Child Health Care Hospital of JiangSu Province, Huaian, China.
Medicine (Baltimore). 2019 Nov;98(45):e17475. doi: 10.1097/MD.0000000000017475.
The prognostic role of neutrophil to lymphocyte ratio (NLR) in patients with ovarian cancer remains inconsistent. This meta-analysis was conducted to evaluate the predictive value of this biomarker for prognoses in ovarian cancer patients.We systematically searched PubMed, Web of Science, and Embase for eligible studies embracing multivariate results. The Newcastle-Ottawa Scale were used to assess the study quality. Pooled hazard ratios (HRs), and 95% confidence intervals (CIs) were calculated.Ten studies involving 2919 patients were included in this meta-analysis. In multivariate analysis, the group with higher NLR had worse overall survival (OS) (HR = 1.34, 95% CI = 1.16-1.54) and shorter PFS (HR = 1.36, 95% CI = 1.17-1.57) than the control group. Furthermore, PLR values higher than the cut-off were associated with not only poorer OS (HR = 1.97, 95% CI = 1.61-2.40) but also more unfavorable PFS (HR = 1.79, 95% CI = 1.46-2.20). Univariate analysis also indicated the same results. Additionally, subgroup analysis showed that when the cut-off values for NLR and PLR were higher, their predictive effects became stronger.This comprehensive meta-analysis suggested that the values of inflammatory marker of NLR was associated with ovarian cancer survival. Therefore, inflammatory markers can potentially serve as prognostic biomarkers.
中性粒细胞与淋巴细胞比值(NLR)在卵巢癌患者中的预后作用仍不一致。本荟萃分析旨在评估该生物标志物对卵巢癌患者预后的预测价值。我们系统检索了PubMed、Web of Science和Embase,以查找包含多变量结果的合格研究。采用纽卡斯尔-渥太华量表评估研究质量。计算合并风险比(HR)和95%置信区间(CI)。本荟萃分析纳入了10项涉及2919例患者的研究。在多变量分析中,NLR较高的组与对照组相比,总生存期(OS)较差(HR = 1.34,95%CI = 1.16 - 1.54),无进展生存期(PFS)较短(HR = 1.36,95%CI = 1.17 - 1.57)。此外,PLR值高于临界值不仅与较差的OS(HR = 1.97,95%CI = 1.61 - 2.40)相关,还与更不利的PFS(HR = 1.79,95%CI = 1.46 - 2.20)相关。单变量分析也显示了相同的结果。此外,亚组分析表明,当NLR和PLR的临界值较高时,它们的预测效果更强。这项综合荟萃分析表明,NLR炎症标志物的值与卵巢癌生存相关。因此,炎症标志物有可能作为预后生物标志物。