Wang Bingbing, Zhang Jingdan, Shi Yingnan, Wang Yan
Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150000, China.
Department of Gastroenterology, Affiliated Hospital of Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, 028000, China.
BMC Cancer. 2024 Dec 24;24(1):1574. doi: 10.1186/s12885-024-13343-x.
The therapeutic efficacy and prognosis of various tumors can be assessed using the systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI). Despite their potential, no studies have investigated the prognostic value of the combined SII-PNI score for outcomes in patients with extensive small cell lung cancer (ES-SCLC) treated with chemotherapy and immune checkpoint inhibitors (ICIs).
Our study retrospectively examined 213 ES-SCLC patients treated with chemotherapy and ICIs across two institutions. The patients were divided into three groups based on their SII-PNI scores. Cox regression analysis was employed to identify independent prognostic factors. A nomogram was constructed based on these independent factors. With 1000 repeated samples, the bootstrap method was used to validate the nomogram model internally. The model's performance was assessed using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).
Before and after chemotherapy with immune checkpoint inhibitors (ICIs), SII was significantly higher in the PD group compared with the PR group (both p < 0.05). In the meantime, PNI was considerably lower in the PD group than in the PR group (both p < 0.01). Kaplan-Meier curves demonstrated that patients with a low SII-PNI had prolonged progression-free survival (PFS) and overall survival (OS) compared to those with a high SII-PNI (all p < 0.01). Multivariate Cox analysis showed that PS = 1, bone metastasis, brain metastasis, and SII-PNI = 1,2 after four treatment cycles were independent risk factors for shorter OS and were included in the nomogram model. The ROC curves, C-index, and DCA curves confirm that the SII-PNI scores-based nomograms have strong predictive accuracy for OS.
There was a significant correlation between pre- and post-treatment SII-PNI and treatment effect in ES-SCLC. The SII-PNI score after four treatment cycles is a useful prognostic indicator for ES-SCLC patients receiving chemotherapy combined with immune checkpoint inhibitors (ICIs).
可使用全身免疫炎症指数(SII)和预后营养指数(PNI)评估各种肿瘤的治疗效果和预后。尽管它们具有潜在价值,但尚无研究调查联合SII-PNI评分对接受化疗和免疫检查点抑制剂(ICI)治疗的广泛期小细胞肺癌(ES-SCLC)患者预后的价值。
我们的研究回顾性分析了两个机构中213例接受化疗和ICI治疗的ES-SCLC患者。根据他们的SII-PNI评分将患者分为三组。采用Cox回归分析确定独立预后因素。基于这些独立因素构建列线图。通过1000次重复抽样,使用自举法在内部验证列线图模型。使用校准曲线、受试者工作特征(ROC)曲线和决策曲线分析(DCA)评估模型性能。
在接受免疫检查点抑制剂(ICI)化疗前后,PD组的SII显著高于PR组(均p < 0.05)。同时,PD组的PNI显著低于PR组(均p < 0.01)。Kaplan-Meier曲线表明,与高SII-PNI患者相比,低SII-PNI患者的无进展生存期(PFS)和总生存期(OS)延长(均p < 0.01)。多因素Cox分析显示,PS = 1、骨转移、脑转移以及四个治疗周期后SII-PNI = 1、2是OS缩短的独立危险因素,并纳入列线图模型。ROC曲线、C指数和DCA曲线证实,基于SII-PNI评分的列线图对OS具有很强的预测准确性。
ES-SCLC治疗前后的SII-PNI与治疗效果之间存在显著相关性。四个治疗周期后的SII-PNI评分是接受化疗联合免疫检查点抑制剂(ICI)治疗的ES-SCLC患者有用的预后指标。