4.6 Article

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

期刊

BMC CANCER
卷 21, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12885-021-08153-4

关键词

Prognosis; Liver cancer; Neutrophil-to-lymphocyte ratio; Platelet distribution width

类别

资金

  1. 2020 Anhui Medical University School Fund [2020xkj180]

向作者/读者索取更多资源

This study investigated the prognostic value of the combination of neutrophil to lymphocyte ratio and platelet distribution width in post-operation patients with resectable hepatocellular carcinoma. The results demonstrated that this combination index is a valuable biomarker for predicting the survival of patients with HCC.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据