Feng Zheng, Wen Hao, Bi Rui, Ju Xingzhu, Chen Xiaojun, Yang Wentao, Wu Xiaohua
Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
PLoS One. 2016 May 20;11(5):e0156101. doi: 10.1371/journal.pone.0156101. eCollection 2016.
We aimed to demonstrate the clinical and prognostic significance of the preoperative neutrophil-to-lymphocyte ratio (NLR) in high-grade serous ovarian cancer (HGSC).
We retrospectively investigated 875 patients who underwent primary staging or debulking surgery for HGSC between April 2005 and June 2013 at our institution. None of these patients received neoadjuvant chemotherapy. NLR was defined as the absolute neutrophil count divided by the absolute lymphocyte count. Progression-free survival (PFS) and overall survival (OS) were analyzed with the Kaplan-Meier method and log-rank tests for univariate analyses. For multivariate analyses, Cox regression analysis was used to evaluate the effects of the prognostic factors, which were expressed as hazard ratios (HRs).
The NLRs ranged from 0.30 to 24.0. The median value was 3.24 and used as the cutoff value to discriminate between the high-NLR (≥3.24) and low-NLR (<3.24) groups. A high preoperative NLR level was associated with an advanced FIGO stage, increased CA125 level, more extensive ascites, worse cytoreduction outcome and chemoresistance. For univariate analyses, a high NLR was associated with reduced PFS (p<0.001) and OS (p<0.001). In multivariate analyses, a high NLR was still an independent predictor of PFS (p = 0.011), but not OS (p = 0.148).
Our study demonstrated that NLR could reflect tumor burden and clinical outcomes to a certain extent and should be regarded as a predictive and prognostic parameter for HGSC.
我们旨在阐明术前中性粒细胞与淋巴细胞比值(NLR)在高级别浆液性卵巢癌(HGSC)中的临床及预后意义。
我们回顾性研究了2005年4月至2013年6月期间在我院接受HGSC初次分期或肿瘤细胞减灭术的875例患者。这些患者均未接受新辅助化疗。NLR定义为绝对中性粒细胞计数除以绝对淋巴细胞计数。采用Kaplan-Meier法和对数秩检验进行无进展生存期(PFS)和总生存期(OS)的单因素分析。多因素分析采用Cox回归分析评估预后因素的影响,结果以风险比(HRs)表示。
NLR范围为0.30至24.0。中位数为3.24,用作区分高NLR(≥3.24)和低NLR(<3.24)组的临界值。术前高NLR水平与国际妇产科联盟(FIGO)分期晚期、CA125水平升高、腹水更广泛、肿瘤细胞减灭结果更差及化疗耐药相关。单因素分析显示,高NLR与PFS降低(p<0.001)和OS降低(p<0.001)相关。多因素分析中,高NLR仍是PFS的独立预测因素(p = 0.011),但不是OS的独立预测因素(p = 0.148)。
我们的研究表明,NLR在一定程度上可反映肿瘤负荷和临床结局,应被视为HGSC的一个预测和预后参数。