Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, People's Republic of China.
Department of Oncology, Shanghai Medical College, Fudan University, 270 Dongan Road, Shanghai, 200032, People's Republic of China.
J Transl Med. 2018 Jan 24;16(1):12. doi: 10.1186/s12967-018-1391-0.
To analyze the prognostic value of preoperative prognostic nutritional index (PNI) in predicting the survival outcome of hypopharyngeal squamous cell carcinoma (HPSCC) patients receiving radical surgery.
From March 2006 to August 2016, 123 eligible HPSCC patients were reviewed. The preoperative PNI was calculated as serum albumin (g/dL) × 10 + total lymphocyte count (mm) × 0.005. These biomarkers were measured within 2 weeks prior to surgery. The impact of preoperative PNI on overall survival (OS), progression-free survival (PFS), locoregional recurrence-free survival (LRFS) and distant metastasis-free survival (DMFS) were analyzed using Kaplan-Meier method and Cox proportional hazards model.
Median value of 52.0 for the PNI was selected as the cutoff point. PNI value was then classified into two groups: high PNI (> 52.0) versus low PNI (≤ 52.0). Multivariate analysis showed that high preoperative PNI was an independent prognostic factor for better OS (P = 0.000), PFS (P = 0.001), LRFS (P = 0.005) and DMFS (P = 0.016).
High PNI predicts superior survival in HPSCC patients treated with radical surgery. As easily accessible biomarkers, preoperative PNI together with the conventional TNM staging system can be utilized to enhance the accuracy in predicting survival and determining therapy strategies in these patients.
分析术前预后营养指数（PNI）在预测接受根治性手术的下咽鳞状细胞癌（HPSCC）患者生存结局中的预测价值。
回顾 2006 年 3 月至 2016 年 8 月期间的 123 例符合条件的 HPSCC 患者。术前 PNI 通过血清白蛋白（g/dL）×10+总淋巴细胞计数（mm）×0.005 计算得出。这些生物标志物在手术前 2 周内进行测量。采用 Kaplan-Meier 法和 Cox 比例风险模型分析术前 PNI 对总生存（OS）、无进展生存（PFS）、局部区域无复发生存（LRFS）和无远处转移生存（DMFS）的影响。
选择 52.0 的 PNI 中位数作为截断点。然后，PNI 值被分为两组：高 PNI（>52.0）与低 PNI（≤52.0）。多变量分析显示，术前高 PNI 是 OS（P=0.000）、PFS（P=0.001）、LRFS（P=0.005）和 DMFS（P=0.016）更好的独立预后因素。
高 PNI 预测接受根治性手术的 HPSCC 患者的生存获益更好。作为易于获取的生物标志物，术前 PNI 与传统的 TNM 分期系统相结合，可用于提高预测生存和确定这些患者治疗策略的准确性。
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