| Literature DB >> 33521853 |
Liliang Xia1,2, Hui Wang1, Mingjiao Sun3, Yi Yang1, Chengcheng Yao2, Sheng He4, Huangqi Duan2, Weimin Xia2, Ruiming Sun2, Yaxian Yao1, Zhiwei Chen1, Qiong Zhao5, Hong Li4, Shun Lu6, Ying Wang7.
Abstract
Limited benefit population of immune checkpoint inhibitors makes it urgent to screen predictive biomarkers for stratifying the patients. Herein, we have investigated peripheral CD4+ T cell signatures in advanced non-small cell lung cancer (NSCLC) patients receiving anti-PD-1/PD-L1 treatments. It was found that the percentages of IFN-γ and IL-17A secreting naïve CD4+ T cells (Tn), and memory CD4+ T cells (Tm) expressing PD-1, PD-L1 and CTLA-4 were significantly higher in responder (R) than non-responder (NonR) NSCLC patients associated with a longer progression free survival (PFS). Logistic regression analysis revealed that the baseline IFN-γ-producing CD4+ Tn cells and PD-1+CD4+ Tm cells were the most significant signatures with the area under curve (AUC) value reaching 0.849. This was further validated in another anti-PD-1 monotherapy cohort. Conversely, high percentage of CTLA-4+CD4+ Tm cells was associated with a shorter PFS in patients receiving anti-PD-L1 monotherapy. Our study therefore elucidates the significance of functional CD4+ Tn and Tm subpopulations before the treatment in predicting the responses to anti-PD-1 treatment in Chinese NSCLC patients. The fact that there display distinct CD4+ T cell signatures in the prediction to anti-PD-1 and anti-PD-L1 monotherapy from our study provides preliminary evidence on the feasibility of anti-PD-1 and anti-PD-L1 combination therapy for advanced NSCLC patients.Entities:
Keywords: advanced NSCLC; baseline CD4+ T cell signatures; immune checkpoint inhibitors; immunotherapy; response prediction
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Year: 2021 PMID: 33521853 DOI: 10.1007/s11427-020-1861-5
Source DB: PubMed Journal: Sci China Life Sci ISSN: 1674-7305 Impact factor: 6.038