Prognostic significance of pan-immune-inflammation value in hepatocellular carcinoma treated by curative radiofrequency ablation: potential role for individualized adjuvant systemic treatment.
Xuexia Liang, Juyuan Bu, Yanhui Jiang, Shuqin Zhu, Qing Ye, Yun Deng, Wuzhu Lu, Qiaodan Liu
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引用次数: 0
Abstract
Background: This study aimed to explore the prognostic role of pan-immune-inflammation value (PIV) and develop a new risk model to guide individualized adjuvant systemic treatment following radiofrequency ablation (RFA) for early-stage hepatocellular carcinoma (HCC).
Materials and methods: Patients with early-stage HCC treated by RFA were randomly divided into training cohort A (n = 65) and testing cohort B (n = 68). Another 265 counterparts were enrolled into external validating cohort C. Various immune-inflammatory biomarkers (IIBs) were screened in cohort A. Prognostic role of PIV was evaluated and validated in cohort B and C, respectively. A nomogram risk model was built in cohort C and validated in pooled cohort D. Clinical benefits of adjuvant anti-angiogenesis therapy plus immune checkpoint inhibitor (AA-ICI) following RFA was assessed in low- and high-risk groups.
Results: The cutoff point of PIV was 120. High PIV was an independent predictor of unfavorable recurrence-free survival (RFS) and overall survival (OS). RFS and OS rates of patients with high PIV were significantly lower than those with low PIV both in cohort B (PRFS=0.016, POS=0.011) and C (PRFS<0.001, POS<0.001). The nomogram model based on PIV, tumor number and BCLC staging performed well in risk stratification in external validating cohort C. Adjuvant AA-ICI treatment showed an added benefit in OS (p = 0.011) for high-risk patients.
Conclusions: PIV is a feasible independent prognostic factor for RFS and OS in early-stage HCC patients who received curative RFA. The proposed PIV-based nomogram risk model could help clinicians identify high-risk patients and tailor adjuvant systemic treatment and disease follow-up scheme.
研究背景本研究旨在探索泛免疫炎症值(PIV)的预后作用,并建立一个新的风险模型,以指导早期肝细胞癌(HCC)射频消融(RFA)术后的个体化辅助系统治疗:采用射频消融术治疗的早期HCC患者被随机分为训练组A(65人)和测试组B(68人)。在 A 组中筛选了各种免疫炎症生物标志物(IIBs)。在 B 组和 C 组中分别评估和验证了 PIV 的预后作用。在低风险组和高风险组中评估了RFA术后辅助抗血管生成疗法加免疫检查点抑制剂(AA-ICI)的临床获益:结果:PIV的临界点为120。高PIV是不利无复发生存期(RFS)和总生存期(OS)的独立预测因子。在高危患者队列B(PRFS=0.016,POS=0.011)和队列C(PRFSPOSp=0.011)中,高PIV患者的RFS和OS率均显著低于低PIV患者:结论:对于接受根治性RFA治疗的早期HCC患者而言,PIV是一个可行的RFS和OS独立预后因素。所提出的基于PIV的提名图风险模型可帮助临床医生识别高危患者,并为其量身定制辅助系统治疗和疾病随访方案。