Ge Yi, Liu Xiaoyu, Xu Yishi, Su Yanwei, Li Yixin, Wang Liping
Department of Oncology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Department of Oncology, Luohe Central Hospital, Luohe, China.
Front Oncol. 2024 Dec 4;14:1485849. doi: 10.3389/fonc.2024.1485849. eCollection 2024.
There is a strong association between inflammation and the formation, progression, and metastasis of malignant tumors, according to earlier studies. Some composite inflammation-nutritional indicators, such as the systemic immune-inflammation index (SII) and the prognostic nutritional index (PNI), have a certain predictive effect on the prognosis of patients with small cell lung cancer (SCLC). However, the relationship between these indicators and the efficacy of immunotherapy in SCLC patients is still not well understood. Therefore, the purpose of this study was to explore how the pre-treatment SII-PNI score can predict the tumor response and prognosis of extensive-stage SCLC patients treated with PD-L1 inhibitors and first-line chemotherapy.
This research conducted a retrospective review of 70 ES- SCLC patients from December 2019 to January 2023. According to the SII-PNI score, all patients were categorized into three groups. Overall survival (OS) was assessed by implementing the Kaplan Meier and Cox regression models. In addition, we devised a nomogram and scrutinized its accuracy in prediction through receiver operating characteristic (ROC) curve analysis and visualized it by calibration plots. Subsequently, a risk classification system was established.
Patients with higher SII-PNI scores exhibited notably poorer survival outcomes compared to their counterpart with low SII-PNI score (p=0.008), as well as poorer short-term curative effects (p=0.004). The results of the multivariate analysis revealed that the SII-PNI score (p=0.036) had an independent association with a less favorable OS. The nomogram has been demonstrated to be a reliable prognostic tool for ES-SCLC patients. A notable difference was identified between the two different levels of risk.
The baseline SII-PNI score can serve as a reliable prognostic indicator for ES-SCLC patients receiving immunotherapy. Higher SII-PNI scores imply a worse prognosis.
早期研究表明,炎症与恶性肿瘤的形成、进展和转移之间存在密切关联。一些综合炎症 - 营养指标,如全身免疫炎症指数(SII)和预后营养指数(PNI),对小细胞肺癌(SCLC)患者的预后具有一定的预测作用。然而,这些指标与SCLC患者免疫治疗疗效之间的关系仍未完全明确。因此,本研究旨在探讨治疗前SII - PNI评分如何预测广泛期SCLC患者接受PD - L1抑制剂和一线化疗后的肿瘤反应及预后。
本研究对2019年12月至2023年1月期间的70例广泛期SCLC患者进行了回顾性分析。根据SII - PNI评分,将所有患者分为三组。采用Kaplan - Meier法和Cox回归模型评估总生存期(OS)。此外,我们绘制了列线图,并通过受试者工作特征(ROC)曲线分析检验其预测准确性,并用校准图进行可视化展示。随后,建立了风险分类系统。
与SII - PNI评分低的患者相比,SII - PNI评分高的患者生存结局明显更差(p = 0.008),短期疗效也更差(p = 0.004)。多因素分析结果显示,SII - PNI评分(p = 0.036)与较差的OS独立相关。列线图已被证明是广泛期SCLC患者可靠的预后工具。在两种不同风险水平之间发现了显著差异。
基线SII - PNI评分可作为接受免疫治疗的广泛期SCLC患者可靠的预后指标。SII - PNI评分越高,预后越差。