Open AccessA comprehensive profiling of soluble immune checkpoints from the sera of patients with non‐small cell lung cancer
Author(s) -
Peng Ying,
Zhang Chen,
Rui Zhilian,
Tang Weiming,
Xu Yan,
Tao Xiaoxin,
Zhao Qi,
Tong Xin
Publication year - 2022
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.24224
Subject(s) - lung cancer , medicine , oncology , stage (stratigraphy) , immune system , immunotherapy , atezolizumab , nivolumab , immunology , cancer , biology , paleontology
Background Immunotherapy was widely used for the treatment of non‐small cell lung cancer (NSCLC). However, whether inhibition of immune checkpoints individually or simultaneously could improve the therapeutic efficacy of NSCLC remains to be investigated. Here, we explored the aberrant levels of several checkpoints and evaluated their potential diagnostic values for NSCLC. Methods Serum samples of 89 NSCLC patients and 57 healthy donors were collected from Nanjing Drum Tower Hospital between November 2019 and July 2020. Fourteen human immune checkpoints were quantified by Procarta‐Plex Human Immuno‐Oncology Checkpoint Panel. Results The expression levels of sTIM‐3, sCD137, sCD27, sLAG‐3, sIDO, sPD‐L2, sCD152, sCD80, and sPD‐1 were all significantly increased in serum of NSCLC patients. Especially, sLAG‐3 was significantly elevated in serum of NSCLC patients at early‐stage (stages I and II), TIM‐3, CD137, and CD27 were significantly higher in the advanced NSCLC patients (stages III and IV) than in the early‐stage groups. Receiver operating characteristics (ROC) results showed that except for PD‐1, all the other immune checkpoint proteins had potential diagnostic values for NSCLC. sTIM‐3 had the highest diagnostic accuracy, followed by sLAG‐3. Combining sTIM‐3, sLAG‐3, and sCD137 could increase the accuracy to a higher level. Moreover, sCD27 was correlated with NSCLC cancer type, age, sex, and disease stage, while sCD137 was correlated with age and disease stage. sTIM‐3 and sIDO were correlated with stage and age, respectively. Conclusions TIM‐3 and LAG‐3 were independent biomarkers for the early diagnosis of NSCLC. The combination of TIM‐3, LAG‐3, and CD137 could increase the diagnostic accuracy.