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

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

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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; P=0.032), high MLR (HR: 7.250; P=0.002), and low PNI (HR: 0.296; P=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, P=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, P=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.

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