Predictive value of inflammatory cells and clinical features in prognosis for non-small cell lung cancer immunotherapy
10.3969/j.issn.1671-8348.2024.16.019
- VernacularTitle:炎症细胞和临床特征对免疫治疗非小细胞肺癌预后的预测价值研究
- Author:
Qingyue ZHENG
1
;
Chunliang YAN
;
Qishan XUE
;
Yafeng LIU
;
Liyun MA
;
Xiyan REN
Author Information
1. 北京航天总医院呼吸与危重症医学科,北京 100076
- Keywords:
inflammatory cells;
clinical features;
immune checkpoint inhibitors;
non-small cell lung cancer;
prognosis
- From:
Chongqing Medicine
2024;53(16):2496-2502
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the predictive value of inflammatory cells and clinical features in the prognosis of immune checkpoint inhibitors (ICIs) treating non-small cell lung cancer (NSCLC).Methods The data of 163 cases of stage Ⅲ and Ⅳ NSCLC patients treated with the ICIs in this hospital from January 1,2017 to December 31,2022 were collected.The CT examination was conducted after 6-8 weeks treatment.The pa-tients were divided into the objective remission group[complete remission (CR)+partial remission (PR)]and non-objective remission group[stable disease (SD)+progressed disease (PD)],disease control group (CR+PR+SD) and non-disease control group (PD),persistent clinical benefit group (DCB) and non-DCB group.The differences in clinical features and inflammatory cells indicators were compared among the differ-ent groups.The receiver operating characteristic (ROC) curve was adopted to evaluate the predictive efficiency of the inflammatory cells indicators for DCB.The influencing factors analysis of progression free survival (PFS) time and overall survival (OS) time adopted the Cox regression analysis.Results The lymphocyte count (ALC) in the disease control group was higher than that in the non-disease control group.The neutro-phil to lymphocyte ratio (NLR),platelet-lymphocyte ratio (PLR) and mononuclear lymphocyte ratio (MLR) were lower than those in the non-disease control group.The proportions of squamous cell carcinoma,stage Ⅲ,ECOG score 0-1 point,adverse reactions in the DCB group were higher than those in the non-DCB group (P<0.05),the PLT count,NLR,PLR and MLR were lower than those in the non-DCB group (P<0.05). The ROC curve analysis results showed that PLT,NLR,PLR and MLR could serve as the indicators for pre-dicting DCB,the area under of ROC curve (AUC) was 0.633,0.602,0.635 and 0.604 respectively,the opti-mal cut off values were 187×109/L (P=0.004),5.0 (P=0.026),235 (P=0.003) and 0.35 (P=0.024) re-spectively.The multivariate Cox regression analysis showed that non-squamous carcinoma including adenocar-cinoma (HR=1.565,95％CI:1.057-2.316) and other pathologic types (HR=2.285,95％CI:1.326-3.936),ECOG score 2-3 points (HR=2.375,95％CI:1.652-3.415),AMC≥0.65×109/L (HR=1.847,95％CI:1.160-2.938) and PLR≥235 (HR=1.557,95％CI:1.016-2.386) were the independent risk factors for short PFS.The ECOG score 2-3 points (HR=4.615,95％CI:2.882-7.391),AMC≥0.65×109/L (HR=5.161,95％CI:2.984-8.925) and PLR ≥235 (HR=1.732,95％CI:1.059-2.833) were the independent risk fac-tors for short OS (P<0.05),and having adverse reactions (HR=0.472,95％CI:0.294-0.757) was the independ-ent protective factor for short OS (P<0.05).Conclusion Lower PLT,AMC,NLR,MLR and PLR,higher ALC,squamous cell carcinoma,TNM stage Ⅲ,ECOG score 0-1 point and immunotherapy related adverse reactions could prompt that the prognosis is good in ICIs treating advanced NSCLC.PLT,NLR,PLR and MLR could serve as the indicators for predicting DCB.
