High PD-1 expression on regulatory and effector T-cells in lung cancer draining lymph nodes

Author:

van de Ven Rieneke,Niemeijer Anna-Larissa N.,Stam Anita G.M.,Hashemi Sayed M.S.,Slockers Christian G.,Daniels Johannes M.,Thunnissen Erik,Smit Egbert F.,de Gruijl Tanja D.,de Langen Adrianus J.

Abstract

The treatment of advanced nonsmall cell lung cancer (NSCLC) with PD-1/PD-L1 immune checkpoint inhibitors has improved clinical outcome for a proportion of patients. The current challenge is to find better biomarkers than PD-L1 immunohistochemistry (IHC) that will identify patients likely to benefit from this therapy. In this exploratory study we assessed the differences in T-cell subsets and PD-1 expression levels on T-cells in tumour-draining lymph nodes (TDLNs) and peripheral blood mononuclear cells (PBMCs).To evaluate this, flow cytometric analyses were performed on endobronchial ultrasound-guided (EBUS) fine-needle aspirates (FNA) from TDLNs of patients with NSCLC, and the results were compared to paired PBMC samples. For a select number of patients, we were also able to obtain cells from a non-TDLN (NTDLN) sample.Our data show that the frequency of PD-1+ CD4+ and CD8+ T-cells, as well as the PD-1 expression level on activated regulatory T (aTreg) and CD4+ and CD8+ T-cells, are higher in TDLNs than in PBMCs and, in a small sub-analysis, NTDLNs.These elevated PD-1 expression levels in TDLNs may reflect tumour-specific T-cell priming and conditioning, and may serve as a predictive or early-response biomarker during PD-1 checkpoint blockade.

Funder

KWF Kankerbestrijding

Publisher

European Respiratory Society (ERS)

Subject

Pulmonary and Respiratory Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3