Wang Tingting, Zeng Huihui, Hu Ting, Zhang Junhao, Wang Zishu
Department of Oncology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
J Gastric Cancer. 2025 Apr;25(2):266-275. doi: 10.5230/jgc.2025.25.e14.
Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context.
We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10³/mm³)/lymphocyte count (10³/mm³). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance.
Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014).
The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.
免疫检查点抑制剂(ICI)与化疗联合已成为人表皮生长因子受体2(HER-2)阴性晚期胃癌的标准一线治疗方案。然而,原发性耐药仍然是一个挑战,目前尚无有效的生物标志物可用于预测。这项回顾性研究探讨了在这种情况下基线炎症负担指数(IBI)与原发性耐药之间的关系。
我们分析了62例接受ICI与化疗作为一线治疗的HER-2阴性晚期胃癌患者。IBI的计算方法如下:C反应蛋白(mg/L)×中性粒细胞计数(10³/mm³)/淋巴细胞计数(10³/mm³)。根据6个月内的疾病进展情况,将患者分为原发性耐药组或对照组。我们比较了两组之间的基线特征和IBI评分,并使用受试者工作特征曲线评估了IBI的预测价值。进行单因素和多因素二元逻辑回归分析以确定影响原发性耐药的因素。
原发性耐药组纳入19例患者,对照组纳入43例患者。与对照组相比,耐药组的IBI显著更高(P<0.01)。IBI的曲线下面积为0.82,表明具有较强的预测价值。多因素分析确定IBI是原发性耐药的独立预测因子(P=0.014)。
基线IBI有望作为HER-2阴性晚期胃癌患者对ICI与化疗联合治疗原发性耐药的预测指标。