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炎症生物标志物对接受FOLFOX方案肝动脉灌注化疗的肝细胞癌患者治疗反应和无进展生存期的预测作用:一项初步研究

The Predictive Role of Inflammatory Biomarkers for Treatment Response and Progression-Free Survival in Patients with Hepatocellular Carcinoma Receiving Hepatic Arterial Infusion Chemotherapy with FOLFOX Regimen: A Preliminary Study.

作者信息

Zhao Yang, Liu Jun, Xiong Zhengping, Gu Shanzhi, Xia Xibin

机构信息

Department of Interventional Therapy, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410006, People's Republic of China.

Department of Radiology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410006, People's Republic of China.

出版信息

J Hepatocell Carcinoma. 2023 Jul 8;10:1037-1049. doi: 10.2147/JHC.S413283. eCollection 2023.

Abstract

OBJECTIVE

This retrospective study aimed to investigate whether pre-treatment inflammatory biomarkers, including the prognostic nutritional index (PNI), monocyte-lymphocyte ratio (MLR), systemic immune inflammation index (SII), and platelet-lymphocyte ratio (PLR), could predict treatment response and prognosis in patients with hepatocellular carcinoma (HCC) receiving hepatic arterial infusion chemotherapy (HAIC) with the oxaliplatin, leucovorin, and fluorouracil (FOLFOX) regimen.

METHODS

Based on the cut-off values identified using the receiver-operating characteristic (ROC) curve, 124 patients with HCC who received HAIC with the FOLFOX regimen were divided into low- and high-score MLR, PLR, PNI, and SII groups. Univariate and multivariate regression analyses were performed to identify independent predictors of treatment response and progression-free survival (PFS).

RESULTS

The cut-off values were 0.569 for MLR (area under the curve [AUC]: 0.621), 177.01 for PLR (AUC: 0.554), 713.05 for SII (AUC: 0.570), and 46.85 for PNI (AUC: 0.665). Multivariate Cox regression analysis revealed that the modified albumin-bilirubin (mALBI) grade (hazard ratio [HR]: 2.027; =0.032), high MLR (HR: 7.250; =0.002), and low PNI (HR: 0.296; =0.003) were independent predictors of HAIC non-response, with an AUC value of 0.746 (95% CI: 0.658-0.833). A high MLR (HR: 1.714, 95% CI: 1.086-2.704, =0.021) was also an independent predictor of PFS. Kaplan-Meier analysis showed that the patients with a high MLR had shorter PFS than those with a low MLR (median PFS: 6 vs 10 months, =0.011).

CONCLUSION

The pre-treatment MLR and PNI were predictors of non-response in patients with HCC receiving HAIC with the FOLFOX regimen. The MLR also was an independent predictor of PFS.

摘要

目的

本回顾性研究旨在探讨治疗前炎症生物标志物,包括预后营养指数(PNI)、单核细胞与淋巴细胞比值(MLR)、全身免疫炎症指数(SII)和血小板与淋巴细胞比值(PLR),能否预测接受奥沙利铂、亚叶酸钙和氟尿嘧啶(FOLFOX)方案肝动脉灌注化疗(HAIC)的肝细胞癌(HCC)患者的治疗反应和预后。

方法

根据使用受试者工作特征(ROC)曲线确定的临界值,将124例接受FOLFOX方案HAIC的HCC患者分为MLR、PLR、PNI和SII的低分和高分两组。进行单因素和多因素回归分析,以确定治疗反应和无进展生存期(PFS)的独立预测因素。

结果

MLR的临界值为0.569(曲线下面积[AUC]:0.621),PLR为177.01(AUC:0.554),SII为713.05(AUC:0.570),PNI为46.85(AUC:0.665)。多因素Cox回归分析显示,改良白蛋白-胆红素(mALBI)分级(风险比[HR]:2.027;P=0.032)、高MLR(HR:7.250;P=0.002)和低PNI(HR:0.296;P=0.003)是HAIC无反应的独立预测因素,AUC值为0.746(95%CI:0.658-0.833)。高MLR(HR:1.714,95%CI:1.086-2.704,P=0.021)也是PFS的独立预测因素。Kaplan-Meier分析显示,高MLR患者的PFS短于低MLR患者(中位PFS:6个月对10个月,P=0.011)。

结论

治疗前MLR和PNI是接受FOLFOX方案HAIC的HCC患者无反应的预测因素。MLR也是PFS的独立预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee56/10337684/36d7057bca3e/JHC-10-1037-g0001.jpg

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