The predictive value of inflammatory biomarkers for major pathological response in non-small cell lung cancer patients receiving neoadjuvant chemoimmunotherapy and its association with the immune-related tumor microenvironment: a multi-center study (September, 10.1007/s00262-022-03262-w, 2022)

被引:1
|
作者
Li, Chongwu [1 ]
Wu, Junqi [1 ]
Jiang, Long [2 ]
Zhang, Lei [1 ]
Huang, Jia [2 ]
Tian, Yu [2 ]
Zhao, Yue [1 ]
Liu, Xiucheng [1 ]
Xia, Lang [1 ]
Haoran, E. [1 ]
Gao, Peigen [1 ]
Hou, Likun [3 ]
Yang, Minglei [4 ]
Ma, Minjie [5 ]
Su, Chunxia [6 ]
Zhang, Hao [7 ]
Chen, Hezhong [8 ]
She, Yunlang [1 ]
Xie, Dong [1 ]
Luo, Qingquan [2 ]
Chen, Chang [1 ,2 ]
机构
[1] Tongji Univ, Shanghai Pulm Hosp, Dept Thorac Surg, Sch Med, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Shanghai Lung Canc Ctr, Shanghai, Peoples R China
[3] Tongji Univ, Shanghai Pulm Hosp, Sch Med, Dept Pathol, Shanghai, Peoples R China
[4] Chinese Acad Sci, Ningbo Hosp 2, Dept Thorac Surg, Ningbo, Zhejiang, Peoples R China
[5] Lanzhou Univ, Hosp 1, Dept Thorac Surg, Lanzhou, Gansu, Peoples R China
[6] Tongji Univ, Dept Oncol, Sch Med, Shanghai Pulm Hosp, Shanghai, Peoples R China
[7] Xuzhou Med Univ, Affiliated Hosp, Dept Thorac Surg, Xuzhou, Jiangsu, Peoples R China
[8] Second Mil Med Univ, Dept Thorac Surg, Changhai Hosp, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Biomarkers; Major pathological response; Neoadjuvant immunotherapy; NLR; Non-small cell lung cancer; SII;
D O I
10.1007/s00262-022-03294-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Inflammatory biomarkers in the peripheral blood have been established as predictors for immunotherapeutic efficacy in advanced non-small cell lung cancer (NSCLC). Whether they can also predict major pathological response (MPR) in neoadjuvant setting remains unclear. Methods: In this multi-center retrospective study, 122 and 92 stage I-IIIB NSCLC patients from six hospitals who received neoadjuvant chemoimmunotherapy followed by surgery were included in the discovery and external validation cohort, respectively. Baseline and on-treatment neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR) and systemic immune-inflammation index (SII) were calculated and associated with MPR. Furthermore, resected tumor samples from 37 patients were collected for RNA-sequencing to investigate the immune-related tumor microenvironment. Results: In both the discovery and validation cohorts, the on-treatment NLR, dNLR, PLR, and SII levels were significantly lower in the patients with MPR versus non-MPR. On-treatment SII remained an independent predictor of MPR in multivariate logistic regression analysis. The area under the curve (AUC) of on-treatment SII for predicting MPR was 0.75 (95%CI, 0.67–0.84) in the discovery cohort. Moreover, the predictive value was further improved by combining the on-treatment SII and radiological tumor regression data, demonstrating an AUC of 0.82 (95%CI, 0.74–0.90). The predictive accuracy was validated in the external cohort. Compared with the SII-high group, patients with SII-Low were associated with the activated B cell receptor signaling pathway and a higher intratumoral immune cell infiltration level. Conclusions: On-treatment SII was independently associated with MPR in NSCLC patients receiving neoadjuvant chemoimmunotherapy. Further prospective studies are warranted. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:795 / 795
页数:1
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