| PIV和AAPR对非小细胞肺癌伴脑转移患者的预后评估价值 |
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| 引用本文： | 靳爽,李坤,陈泓润,张中冕. PIV和AAPR对非小细胞肺癌伴脑转移患者的预后评估价值[J]. 癌变．畸变．突变, 2023, 35(1): 43-48. DOI: 10.3969/j.issn.1004-616x.2023.01.008 |
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| 作者姓名： | 靳爽 李坤 陈泓润 张中冕 |
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| 作者单位： | 郑州大学第二附属医院肿瘤科, 河南 郑州 450014 |
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| 摘 要： | 目的：探讨泛免疫-炎症指数(PIV)和白蛋白-碱性磷酸酶比值(AAPR)对非小细胞肺癌伴脑转移患者的预后评估价值。方法：回顾性分析2015年12月—2022年4月在郑州大学第二附属医院初诊的102例非小细胞肺癌伴脑转移患者的病例资料，包括患者基本临床病理特征、治疗过程中头部放疗情况、基线实验室资料等，通过血常规及肝功能指标计算出PIV、AAPR、系统免疫炎症指数(SII)、中性粒细胞/淋巴细胞比值(NLR)、衍生中性粒细胞/淋巴细胞比值(dNLR)、血小板/淋巴细胞比值(PLR)、淋巴细胞/单核细胞比值(LMR)，通过X-tile软件计算预测非小细胞肺癌伴脑转移患者预后的PIV和AAPR等的最佳截断值。采用χ2检验或Fisher确切概率法评估非小细胞肺癌伴脑转移患者PIV、AAPR与临床病理指标之间的相关性。采用单变量和多变量Cox比例风险回归模型，分析这些变量和临床结局之间的相关性，探讨影响非小细胞肺癌伴脑转移患者生存的因素，并通过R软件绘制生存曲线。结果：PIV、AAPR、SII、NLR、dNLR、PLR、LMR的截断值分别为221.9、0.6、1 039.4...
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| 关 键 词： | 非小细胞肺癌 脑转移 泛免疫-炎症指数 白蛋白 碱性磷酸酶 |
| 收稿时间： | 2022-10-26 |
| 修稿时间： | 2022-12-13 |
Prognostic value of PIV and AAPR in patients with non-small cell lung cancer with brain metastasis |
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| JIN Shuang,LI Kun,CHEN Hongrun,ZHANG Zhongmian. Prognostic value of PIV and AAPR in patients with non-small cell lung cancer with brain metastasis[J]. Carcinogenesis,Teratogenesis and Mutagenesis, 2023, 35(1): 43-48. DOI: 10.3969/j.issn.1004-616x.2023.01.008 |
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| Authors: | JIN Shuang LI Kun CHEN Hongrun ZHANG Zhongmian |
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| Affiliation: | Department of Oncology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450014, Henan, China |
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| Abstract: | OBJECTIVE: To investigate prognostic values of pan-Immune-inflammation index (PIV) and albumin to alkaline phosphatase ratio (AAPR) in non-small cell lung cancers with brain metastasis. METHODS: From the Second Affiliated Hospital of Zhengzhou University，the case data of 102 non-small-cell lung cancer patients with brain metastasis from December 2015 to April 2022 were retrospectively analyzed. The data included patients' basic clinicopathological characteristics，head radiotherapy status，baseline laboratory data，etc. PIV，AAPR，systemic immune inflammatory index (SII)，neutrophil/lymphocyte ratio (NLR)，derived neutrophil/lymphocyte ratio (dNLR)，platelet/lymphocyte ratio (PLR) and lymphocyte/monocyte ratio (LMR) were calculated using the blood routine and liver function test results. The best cut-off values of PIV，AAPR，etc for predicting the prognosis of the cancer cases were calculated using the X-tile software. χ2 test or Fisher--s-exact-test-was used to evaluate correlations between PIV，AAPR and various clinicopathological indicators. Univariate and multivariate Cox proportional hazard regression models were used to analyze possible correlations between these variables and clinical outcomes，and to explore factors affecting the survival of the patients. Survival curves were drawn using the R software. RESULTS: The cutoff values for PIV，AAPR，SII，NLR，dNLR，PLR，and LMR were 221.9，0.6，1 039.4，5.2，4.0，223.7，and 4.5，respectively. The univariate Cox regression model showed that the survival curves of PIV，AAPR，SII，NLR，dNLR，LMR in different levels were statistically significant (P<0.05). The multivariate Cox regression model showed that PIV and AAPR had a certain impact on the prognosis of patients (P<0.05). CONCLUSION: Our results show that high PIV (≥221.9) and low AAPR (<0.6) were related to poor clinical outcomes. Thus，PIV and AAPR can be used as biomarkers to predict prognosis of non-small cell lung cancer patients with brain metastasis. |
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| Keywords: | non-small cell lung cancer brain metastasis pan-immune-inflammation value albumin alkaline phosphatase |
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