A201:肿瘤反应性CD4 t细胞的单细胞分辨率分析揭示了免疫景观的改变

Assaf Magen, J. Nie, T. Ciucci, Yongmei Zhao, M. Mehta, Bao Tran, S. Hannenhalli, R. Bosselut
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引用次数: 0

摘要

t细胞对肿瘤的反应通常通过多种机制被中和。虽然细胞毒性CD8细胞一直是利用t细胞对抗肿瘤反应的焦点,但最近的研究已经证明了CD4肿瘤浸润淋巴细胞(TILs)的临床潜力。然而,这些细胞的功能多样性特征限制了我们利用CD4 til对抗肿瘤的能力。为了解决这个问题,我们使用了新的实验策略来表征体内抗肿瘤CD4反应的异质性,结合(i)在肿瘤微环境和引流淋巴结(dLN)中跟踪特定重组肿瘤抗原的CD4 t细胞;(ii)单细胞水平的全基因组mRNA测序(scRNAseq)和(iii)新的计算方法,以提高亚种群发现的分辨率,并揭示种群间强大的转录变化。我们发现新的调控(Treg)和效应(Th1) TILs亚群表达肿瘤微环境特有的多种共抑制基因程序。与TILs组成相反,我们在dLN中发现了意想不到的滤泡辅助(Tfh)样细胞和非经典的Th1反应。将TIL亚群与病毒感染免疫应答(LCMV)中定义的亚群进行比较,揭示了癌症特有的基因表达模式。我们的研究揭示了以前未知的CD4 t细胞效应程序,提供无效的反应,无法控制肿瘤进展。针对这些程序应该提供新的选择,设计改进免疫治疗策略。引用格式:Assaf Magen, Jia Nie, Thomas Ciucci, Yongmei Zhao, Monika Mehta, Bao Tran, Sridhar Hannenhalli, Remy Bosselut。肿瘤反应性CD4 t细胞的单细胞分辨率分析揭示了免疫景观的改变[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志,2019;7(2增刊):摘要nr A201。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstract A201: Single-cell resolution profiling of tumor-reactive CD4 T-cells reveals immune landscape alterations
T-cell responses to tumors are typically neutralized through a variety of mechanisms. While cytotoxic CD8 cells have been the focus of most efforts to exploit T-cell responses against tumors, recent studies have demonstrated the clinical potential of the CD4 tumor-infiltrating lymphocytes (TILs). However, the functional diversity characteristic of these cells has limited our ability to harness CD4 TILs to fight tumors. To address this issue, we have used new experimental strategies to characterize the heterogeneity of the antitumor CD4 response in vivo, combining (i) tracking of CD4 T-cells specific for a defined recombinant tumor antigen, both in the tumor microenvironment and draining lymph node (dLN), (ii) genome-wide mRNA sequencing at the single-cell level (scRNAseq) and (iii) new computational approaches to increase the resolution of subpopulations discovery and uncover robust transcriptional changes across populations. We find novel subpopulations of regulatory (Treg) and effector (Th1) TILs expressing diverse co-inhibitory gene programs unique to the tumor microenvironment. In contrast to TILs composition, we find an unexpected Follicular helper (Tfh)-like cells and non-classical Th1 response in dLN. Comparison of TIL subpopulations to those defined in an immune response to viral infection (LCMV) reveals gene expression patterns unique to cancer. Our study uncovers previously unknown CD4 T-cell effector programs that provide ineffective responses and fail to control tumor progression. Targeting these programs should provide new options for the design of improved immunotherapy strategies. Citation Format: Assaf Magen, Jia Nie, Thomas Ciucci, Yongmei Zhao, Monika Mehta, Bao Tran, Sridhar Hannenhalli, Remy Bosselut. Single-cell resolution profiling of tumor-reactive CD4 T-cells reveals immune landscape alterations [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr A201.
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