Zhang Q, Song H F, Ma B L, Zhang Z N, Zhou C H, Li A L, Liu J, Liang L, Zhu S Y, Zhang Q
Department of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
Beijing Da Xue Xue Bao Yi Xue Ban. 2023 Feb 18;55(1):149-155. doi: 10.19723/j.issn.1671-167X.2023.01.023.
To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).
A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model.
According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage ( < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS ( < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS ( < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (=0.9, 95%=0.828-0.978, =0.013) or a classified variable (=2.397, 95%=1.061-5.418, =0.036).
Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.
评估预后营养指数(PNI)在接受手术治疗的非转移性肾细胞癌(RCC)患者中的意义,并将其与其他血液生物标志物进行比较,包括中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和全身免疫炎症指数(SII)。
回顾性分析2010年至2012年期间在北京大学第一医院接受手术治疗的328例非转移性RCC患者队列。采用受试者工作特征(ROC)曲线分析确定血液生物标志物的最佳临界值。PNI的约登指数最大值对应的数值为47.3。因此,我们将患者分为两组(PNI≤47.3和>47.3)进行进一步分析。分类变量[年龄、性别、体重指数(BMI)、手术类型、组织学亚型、坏死、病理T分期和肿瘤分级]采用卡方检验和学生t检验进行比较。使用Kaplan-Meier方法和对数秩检验分析生物标志物与总生存期(OS)和无病生存期(DFS)的关联,随后进行多变量Cox比例风险模型分析。
根据ROC曲线的最大约登指数,PNI的最佳临界值为47.3。低水平的PNI与年龄较大、BMI较低和肿瘤病理T分期较高显著相关(P<0.05)。Kaplan-Meier单因素分析显示,较低的PNI与较差的OS和DFS显著相关(P<0.05)。此外,年龄较大、BMI较低、肿瘤坏死、肿瘤病理T分期较高和Fuhrman分级与较差的OS显著相关(P<0.05)。Cox多变量分析显示,在这四个血液学指标中,只有PNI是与OS显著相关的独立因素,无论是作为连续变量(HR=0.9,95%CI=0.828-0.978,P=0.013)还是分类变量(HR=2.397,95%CI=1.061-5.418,P=0.036)。
低PNI是接受手术治疗的非转移性RCC患者病理T分期进展、OS或DFS降低的重要预测指标。此外,在我们的研究中,PNI作为预测RCC预后的有用工具优于其他血液生物标志物。在PNI能够广泛用作肾切除术RCC患者的预测指标之前,应在未来研究中进行外部验证。