Liu Na, Jiang Aimin, Zheng Xiaoqiang, Fu Xiao, Zheng Haoran, Gao Huan, Wang Jingjing, Liang Xuan, Tian Tao, Ruan Zhiping, Yao Yu
Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi 710061, People's Republic of China.
J Cancer. 2021 Mar 15;12(10):2960-2967. doi: 10.7150/jca.55936. eCollection 2021.
The prognostic nutritional index (PNI) is related to the prognosis of multiple malignancies. This study investigated whether the PNI has prognostic value in advanced non-small cell lung cancer (NSCLC) patients treated with programmed death 1 (PD-1) inhibitors. We retrospectively analyzed advanced NSCLC patients treated with PD-1 inhibitors from July 2018 to December 2019. Pretreatment PNI was calculated by peripheral lymphocyte count and serum albumin level, and the cut-off value was determined. Subsequently, we investigated the relationship between PNI and early progression, and evaluated its prognostic role on survival outcomes. Ultimately, based on the results of survival analysis, a nomogram was established. A total of 123 patients were included. Of these, 24 (19.5%) patients had experienced early progression. Multivariate logistic analysis indicated that low PNI (odds ratio, 3.709, 95% confidence interval [CI], 1.354-10.161; = 0.011) was closely correlated with early progression. Moreover, multivariate Cox regression analysis confirmed that low PNI was an independent risk factor for progression-free survival (hazard ratio [HR], 2.698, 95% CI, 1.752-4.153; < 0.001) and overall survival (HR, 7.222, 95% CI, 4.081-12.781; < 0.001), respectively. The prediction accuracy of nomogram based on PNI is moderate. PNI was an independent predictor of early progression and survival outcomes in advanced NSCLC patients treated with PD-1 inhibitors.
预后营养指数(PNI)与多种恶性肿瘤的预后相关。本研究调查了PNI在接受程序性死亡1(PD-1)抑制剂治疗的晚期非小细胞肺癌(NSCLC)患者中是否具有预后价值。我们回顾性分析了2018年7月至2019年12月接受PD-1抑制剂治疗的晚期NSCLC患者。通过外周血淋巴细胞计数和血清白蛋白水平计算治疗前PNI,并确定临界值。随后,我们研究了PNI与早期进展之间的关系,并评估了其对生存结局的预后作用。最终,基于生存分析结果建立了列线图。共纳入123例患者。其中,24例(19.5%)患者出现早期进展。多因素逻辑回归分析表明,低PNI(比值比,3.709,95%置信区间[CI],1.354-10.161;P = 0.011)与早期进展密切相关。此外,多因素Cox回归分析证实,低PNI分别是无进展生存(风险比[HR],2.698,95%CI,1.752-4.153;P < 0.001)和总生存(HR,7.222,95%CI,4.081-12.781;P < 0.001)的独立危险因素。基于PNI的列线图预测准确性中等。PNI是接受PD-1抑制剂治疗的晚期NSCLC患者早期进展和生存结局的独立预测指标。