The prognostic value of systemic immune-inflammation index in patients with unresectable hepatocellular carcinoma treated with immune-based therapy

被引:0
|
作者
He, Tian [1 ,2 ]
Xu, Bin [1 ,2 ]
Wang, Lu-Na [1 ,2 ]
Wang, Zi-Yi [1 ,2 ]
Shi, Huan-Chen [1 ,2 ]
Zhong, Cheng-Jie [1 ,2 ]
Zhu, Xiao-Dong [1 ,2 ]
Shen, Ying-Hao [1 ,2 ]
Zhou, Jian [1 ,2 ]
Fan, Jia [1 ,2 ]
Sun, Hui-Chuan [1 ,2 ]
Hu, Bo [1 ,2 ]
Huang, Cheng [1 ,2 ]
机构
[1] Fudan Univ, Liver Canc Inst, Dept Liver Surg & Transplantat, 180 Fenglin Rd, Shanghai 200032, Peoples R China
[2] Fudan Univ, Zhongshan Hosp, 180 Fenglin Rd, Shanghai 200032, Peoples R China
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
Hepatocellular carcinoma; Immune-based therapy; Atezolizumab-bevacizumab; Systemic immune-inflammation index (SII); Prognosis; CANCER; TUMOR;
D O I
10.1186/s40364-024-00722-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Predicting the efficacy of immune-based therapy in patients with unresectable hepatocellular carcinoma (HCC) remains a clinical challenge. This study aims to evaluate the prognostic value of the systemic immune-inflammation index (SII) in forecasting treatment response and survival outcomes for HCC patients undergoing immune-based therapy. Methods We analyzed a cohort of 268 HCC patients treated with immune-based therapy from January 2019 to March 2023. A training cohort of 93 patients received atezolizumab plus bevacizumab (T + A), while a validation cohort of 175 patients underwent treatment with tyrosine kinase inhibitors (TKIs) combined with anti-PD-(L)1 therapy. The SII cutoff value, determined using X-tile analysis based on overall survival (OS) in the training cohort, divided patients into high (> 752*109) and low (<= 752*109) SII groups. Prognostic factors were identified through univariate and multivariate logistic and Cox regression analyses, and survival outcomes were assessed using Kaplan-Meier methods. The predictive accuracy of SII was evaluated using receiver operating characteristic (ROC) curves. Results An optimal SII cutoff of 752*109 stratified patients into high and low SII groups. Univariate and multivariate logistic regression indicated that SII was a significant predictor of the objective response rate (ORR), which was markedly different between the low and high SII subgroups (34.72% vs. 9.52%, P = 0.019). This finding was consistent in the validation cohort (34.09% vs. 16.28%, P = 0.026). SII also demonstrated prognostic value in Cox regression and Kaplan-Meier analyses. ROC curves confirmed that SII had superior predictive accuracy compared to common clinical indicators, with predictive relevance even in AFP-negative patients. Furthermore, a lower SII was associated with a higher T cell ratio and an increased number of CD8+ T cells and Granzyme B+ CD8+ T cells in peripheral blood. Conclusion SII is a promising predictor of both therapeutic efficacy and prognosis in HCC patients undergoing immune-based treatments. Its application may enhance clinical decision-making, thereby improving patient outcomes from immune-based therapy.
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页数:13
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