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γ-谷氨酰转肽酶与淋巴细胞比值对伴微血管侵犯的肝细胞癌患者的预测价值。

Predictive value of gamma-glutamyl transpeptidase to lymphocyte count ratio in hepatocellular carcinoma patients with microvascular invasion.

机构信息

Laboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, People's Republic of China.

Second clinical medical college, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.

出版信息

BMC Cancer. 2020 Feb 18;20(1):132. doi: 10.1186/s12885-020-6628-7.

Abstract

BACKGROUND

Microvascular invasion (MVI) is an independent risk factor for poor prognosis in hepatocellular carcinoma (HCC). However, there is still a lack of preoperative markers to predict MVI in HCC. This study intends to explore the potential application value of the gamma-glutamyl transpeptidase (GGT) to lymphocyte count ratio (GLR) in predicting MVI in HCC and provide guidance for clinical diagnosis and treatment.

METHODS

From March 2010 to December 2015, 230 HCC patients who underwent surgical treatment in the Affiliated Hospital of Guilin Medical University were selected. Clinicopathological parameters between the MVI group (n = 115) and the non-MVI group (n = 115) were comparatively analyzed. The GLR was used as the potential risk factor for HCC with MVI, and its optimal cut-off value was estimated by using the receiver operating characteristic (ROC) curve. The Kaplan-Meier method was used to analyze the survival of HCC patients, and univariate and multivariate Cox regression analyses were used to establish independent predictors affecting postoperative HCC patients.

RESULTS

The GLR levels in the MVI group and non-MVI group were 84.83 ± 61.84 and 38.42 ± 33.52 (p <  0.001), respectively. According to ROC curve analysis, the optimal cut-off value of GLR was 56.0, and the area under the ROC curve (AUC) was 0.781 (95% CI, 0.719-0.833) for the risk prediction of MVI in HCC patients. Multivariate analysis showed that tumor size > 5 cm, HCC combined with MVI and GLR >  56.0 were independent risk factors for poor prognosis in HCC patients. In addition, compared with the non-MVI group, patients in the MVI group had shorter progression-free survival (PFS) and overall survival (OS).

CONCLUSION

GLR could be a predictive biomarker of HCC after operation and a potential predictor of HCC combined with MVI.

摘要

背景

微血管侵犯(MVI)是肝细胞癌(HCC)预后不良的独立危险因素。然而,目前仍缺乏术前标志物来预测 HCC 中的 MVI。本研究旨在探讨γ-谷氨酰转肽酶(GGT)与淋巴细胞计数比值(GLR)预测 HCC 中 MVI 的潜在应用价值,为临床诊断和治疗提供指导。

方法

回顾性分析 2010 年 3 月至 2015 年 12 月桂林医学院附属医院收治的 230 例行手术治疗的 HCC 患者的临床病理参数。比较 MVI 组(n=115)和非 MVI 组(n=115)的 MVI 组与非 MVI 组的临床病理参数。将 GLR 作为 HCC 伴 MVI 的潜在危险因素,并采用受试者工作特征(ROC)曲线估计其最佳截断值。采用 Kaplan-Meier 法分析 HCC 患者的生存情况,采用单因素和多因素 Cox 回归分析建立影响 HCC 患者术后的独立预测因素。

结果

MVI 组和非 MVI 组的 GLR 水平分别为 84.83±61.84 和 38.42±33.52(p<0.001)。根据 ROC 曲线分析,GLR 的最佳截断值为 56.0,ROC 曲线下面积(AUC)为 0.781(95%CI,0.719-0.833),可用于预测 HCC 患者 MVI 的风险。多因素分析显示,肿瘤直径>5cm、HCC 合并 MVI 及 GLR>56.0 是 HCC 患者预后不良的独立危险因素。此外,与非 MVI 组相比,MVI 组患者的无进展生存期(PFS)和总生存期(OS)更短。

结论

GLR 可作为 HCC 术后的预测生物标志物,也是 HCC 合并 MVI 的潜在预测因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6be8/7029459/a21e37dd3a40/12885_2020_6628_Fig1_HTML.jpg

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