Xu Fan, Luo Bin, Tian Jianhui, Yang Yun, Cheng Zhenyang, Liu Youjun
Department of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Research Center for Cancer, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Zhongguo Fei Ai Za Zhi. 2025 May 20;28(5):379-384. doi: 10.3779/j.issn.1009-3419.2025.102.21.
Lung cancer is the malignant tumor with the highest morbidity and mortality. The tumor-node-metastasis (TNM) staging has gradually shown its limitations in the accurate prediction of lung cancer, so it is urgent to construct a new clinical predictive model to guide the prevention and treatment of lung cancer. In recent years, as a comprehensive evaluation system based on peripheral immune related parameters, the value of peripheral immunoscore in the construction of predictive model has gradually become prominent. By quantifying the quantity and proportion of immune components in peripheral blood, the score can dynamically reflect the overall immune function and tumor microenvironment characteristics of the body. This paper systematically summarizes the latest research progress of peripheral immunoscore in early diagnosis, drug efficacy prediction, early warning of adverse reactions and prognosis evaluation of lung cancer, aiming to tap its potential clinical application value and provide some ideas and directions for developing new lung cancer-related predictive models. .
肺癌是发病率和死亡率最高的恶性肿瘤。肿瘤-淋巴结-转移（TNM）分期在肺癌的准确预测中逐渐显示出其局限性，因此迫切需要构建新的临床预测模型来指导肺癌的防治。近年来，作为一种基于外周免疫相关参数的综合评价体系，外周免疫评分在预测模型构建中的价值逐渐凸显。该评分通过量化外周血中免疫成分的数量和比例，能够动态反映机体的整体免疫功能和肿瘤微环境特征。本文系统总结了外周免疫评分在肺癌早期诊断、药物疗效预测、不良反应预警及预后评估等方面的最新研究进展，旨在挖掘其潜在的临床应用价值，为开发新的肺癌相关预测模型提供一些思路和方向。
