Lymphocyte subset-based non-invasive biomarker predicts immunochemotherapy efficacy in EGFR-TKI-pretreated EGFR-mutated NSCLC

基于淋巴细胞亚群的非侵入性生物标志物可预测EGFR-TKI预处理EGFR突变型非小细胞肺癌患者的免疫化疗疗效

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作者:Lianxi Song ,Liang Zeng,Qinqin Xu,Yizhi Li,Wenhuan Guo,Shaoding Lin,Wenjuan Jiang,Zhan Wang,Li Deng,Zhe Huang,Haoyue Qin,Huan Yan,Xing Zhang,Fan Tong,Ruiguang Zhang,Zhaoyi Liu,Lin Zhang,Juan Yu,Xue Yang,Yang Xia,Xiaorong Dong,Gao Zhang,Nong Yang,Yongchang Zhang

Abstract

Immune checkpoint inhibitors (ICIs) combined with chemotherapy (Chemo+ICI) have shown variable benefit in patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) whose disease progressed following tyrosine kinase inhibitors (TKIs) therapy. This retrospective study evaluated treatment outcomes between Chemo+ICI and chemotherapy alone, and developed a lymphocyte subset model (LSM) using pre-treatment blood samples to predict survival outcome. Patients receiving Chemo+ICI showed significantly improved overall response rates (34.2% vs. 22.0%, p = 0.04), progression-free survival (6.0 vs. 4.0 months, p < 0.0001), and overall survival (14.6 vs. 11.0 months, p < 0.001). LSM yielded an area under the curve of 0.726, with 58.6% sensitivity and 83.8% specificity. Across training and validation cohorts, patients classified as LSM-high had significantly longer progression-free survival than those in the LSM-low group. These findings provide real-world clinical evidence supporting the benefit of Chemo+ICI in EGFR-TKI-resistant EGFR-mutant NSCLC, and suggest that LSM may help identify patients most likely to benefit from Chemo+ICI.

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