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炎症相关指标在肝癌切除术后患者中的预后价值。

Prognostic value of inflammation-based indices in patients with resected hepatocellular carcinoma.

机构信息

Department of Emergency Surgery, Department of Emergency Medicine, the First affiliated hospital of Anhui Medical University, 218 Jixi Avenue, Hefei, 230022, China.

Department of Radiation Oncology, the First affiliated hospital of Anhui Medical University, Hefei, China.

出版信息

BMC Cancer. 2021 Apr 27;21(1):469. doi: 10.1186/s12885-021-08153-4.

Abstract

BACKGROUND

As is well recognized that inflammation plays a crucial role in the genesis and progression of various cancer. Here we investigate the prognostic value of a novel index: the combination of neutrophil to lymphocyte ratio and platelet distribution width (coNLR-PDW) in post-operation patients with resectable hepatocellular carcinoma (HCC).

METHODS

The receiver operating characteristic (ROC) curve was utilized to determine the optimal cutoff values of continuous variables, including the neutrophil-lymphocyte ratio (NLR) and platelet distribution width (PDW). Kaplan-Meier method and the Log-rank test were used to compare survival differences across three groups stratified by the coNLR-PDW score. Univariate and multivariate Cox proportional hazard regression analyses were adopted to identify independent factors of HCC patient's prognosis.

RESULTS

1.59 and 13.0 were perceived as the optimal cutoff value for NLR and PDW based on the ROC curve, respectively. Kaplan-Meier method revealed that a higher coNLR-PDW score predicts poorer overall survival (OS) and disease-free survival (DFS) (P < 0.001). coNLR-PDW was demonstrated as an independent factor for both OS and DFS using Cox regression analysis in training and validation cohort.

CONCLUSION

coNLR-PDW is recognized as a valuable biomarker for predicting the survival of patients with HCC.

摘要

背景

众所周知,炎症在各种癌症的发生和发展中起着至关重要的作用。在这里,我们研究了一种新的指标:中性粒细胞与淋巴细胞比值和血小板分布宽度的组合(coNLR-PDW)在可切除肝细胞癌(HCC)术后患者中的预后价值。

方法

利用受试者工作特征(ROC)曲线确定连续变量的最佳截断值,包括中性粒细胞-淋巴细胞比值(NLR)和血小板分布宽度(PDW)。Kaplan-Meier 方法和 Log-rank 检验用于比较 coNLR-PDW 评分分层的三组之间的生存差异。采用单因素和多因素 Cox 比例风险回归分析确定 HCC 患者预后的独立因素。

结果

根据 ROC 曲线,1.59 和 13.0 分别被认为是 NLR 和 PDW 的最佳截断值。Kaplan-Meier 方法表明,较高的 coNLR-PDW 评分预示着总体生存率(OS)和无病生存率(DFS)较差(P<0.001)。Cox 回归分析在训练和验证队列中均表明 coNLR-PDW 是 OS 和 DFS 的独立因素。

结论

coNLR-PDW 被认为是预测 HCC 患者生存的有价值的生物标志物。

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