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预后营养指数可预测广泛期小细胞肺癌患者一线化疗免疫治疗的疗效及免疫相关不良事件。

Prognostic Nutritional Index Predicts Efficacy and Immune-Related Adverse Events of First-Line Chemoimmunotherapy in Patients with Extensive-Stage Small-Cell Lung Cancer.

作者信息

Zhang Baishen, Chen Jing, Yu Hui, Li Meichen, Cai Muyan, Chen Likun

机构信息

Sun Yat-Sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, People's Republic of China.

Department of Medical Oncology, Sun Yat-Sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, People's Republic of China.

出版信息

J Inflamm Res. 2024 Mar 18;17:1777-1788. doi: 10.2147/JIR.S450804. eCollection 2024.

Abstract

BACKGROUND

Currently, there is a lack of well-established markers to predict the efficacy of chemoimmunotherapy in small-cell lung cancer (SCLC). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI) and prognostic nutritional index (PNI) are associated with prognosis in several tumors, whereas their predictive role in SCLC remains unclear.

METHODS

A retrospective study was conducted at Sun Yat-sen University Cancer Center, involving extensive-stage SCLC (ES-SCLC) patients who received first-line chemoimmunotherapy between January 2020 and December 2021. Peripheral blood biomarkers were extracted from medical records and their correlation with prognosis and immune-related adverse events (IRAEs) was analyzed.

RESULTS

A total of 114 patients were included. Patients with a low PLR, high ALI and high PNI had prolonged progression-free survival (PFS) compared to those with a high PLR, low ALI and low PNI. Patients with a low NLR, low PLR, high ALI and high PNI had prolonged overall survival (OS) compared to those with a high NLR, high PLR, low ALI and low PNI. Cox regression model showed that PNI was an independent risk factor for both PFS and OS. ROC curve showed that PNI outperforms NLR, PLR and ALI in predicting both PFS and OS. The PNI-based nomogram demonstrated strong predictive capability for both PFS and OS. In addition, there was a significant correlation between PNI and IRAEs.

CONCLUSION

A high baseline PNI might be associated with improved prognosis and the occurrence of IRAEs in ES-SCLC patients treated with first-line chemoimmunotherapy.

摘要

背景

目前,缺乏成熟的标志物来预测小细胞肺癌(SCLC)化疗免疫治疗的疗效。中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、晚期肺癌炎症指数(ALI)和预后营养指数(PNI)在多种肿瘤中与预后相关,但其在SCLC中的预测作用仍不清楚。

方法

在中山大学肿瘤防治中心进行了一项回顾性研究,纳入2020年1月至2021年12月期间接受一线化疗免疫治疗的广泛期SCLC(ES-SCLC)患者。从病历中提取外周血生物标志物,并分析其与预后和免疫相关不良事件(IRAEs)的相关性。

结果

共纳入114例患者。与PLR高、ALI低和PNI低的患者相比,PLR低、ALI高和PNI高的患者无进展生存期(PFS)延长。与NLR高、PLR高、ALI低和PNI低的患者相比,NLR低、PLR低、ALI高和PNI高的患者总生存期(OS)延长。Cox回归模型显示,PNI是PFS和OS的独立危险因素。ROC曲线显示,PNI在预测PFS和OS方面优于NLR、PLR和ALI。基于PNI的列线图对PFS和OS均具有较强的预测能力。此外,PNI与IRAEs之间存在显著相关性。

结论

高基线PNI可能与接受一线化疗免疫治疗的ES-SCLC患者的预后改善和IRAEs的发生有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e9a/10959246/6ab0638ab3d8/JIR-17-1777-g0001.jpg

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