γδ T 细胞调节小细胞肺癌中的抗肿瘤免疫
γδ T cells modulate anti-tumor immunity in small cell lung cancer.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Preexisting Skin-Resident CD8 and γδ T-cell Circuits Mediate Immune Response in Merkel Cell Carcinoma and Predict Immunotherapy Efficacy.
Preexisting Skin-Resident CD8 and γδ T-cell Circuits Mediate Immune Response in Merkel Cell Carcinoma and Predict Immunotherapy Efficacy.
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Merkel细胞癌(MCC)是一种侵袭性神经内分泌皮肤癌,对免疫检查点阻断(ICB)治疗的缓解率约为50%。为了识别预测性生物标志物,我们将bulk和单细胞RNA测序(RNA-seq)与空间转录组学相结合,分析了来自116例患者的186份样本队列,其中包括14对ICB治疗前后配对的bulk RNA-seq。在无应答者中,肿瘤显示出肿瘤增殖增加、神经干细胞标志物和IL1升高的证据。应答者则具有增加的I/II型干扰素以及预先存在的组织驻留(Trm)CD8或Vδ1 γδ T细胞,这些细胞在功能上汇聚于重叠的抗原特异性转录程序以及公共T细胞受体的克隆扩增。空间转录组学证明T细胞与B细胞和树突状细胞共定位,后者提供趋化因子和共刺激。最后,ICB显著增加了应答者肿瘤中Trm和Vδ1细胞的克隆扩增或募集,强调了它们的治疗重要性。这些数据识别了MCC潜在的临床可操作生物标志物和治疗靶点。意义:MCC可作为ICB应答的模型。我们利用迄今最大的多模态MCC数据集(n = 116例患者)揭示了预测应答的独特肿瘤内在特性和免疫回路。我们分别鉴定出CD8 Trm和Vδ1 T细胞作为主要组织相容性复合体高表达和低表达MCC中临床可操作的ICB应答介导者。
Merkel cell carcinoma (MCC) is an aggressive neuroendocrine skin cancer with a ∼50% response rate to immune checkpoint blockade (ICB) therapy. To identify predictive biomarkers, we integrated bulk and single-cell RNA sequencing (RNA-seq) with spatial transcriptomics from a cohort of 186 samples from 116 patients, including bulk RNA-seq from 14 matched pairs pre- and post-ICB. In nonresponders, tumors show evidence of increased tumor proliferation, neuronal stem cell markers, and IL1.
Responders have increased type I/II interferons and preexisting tissue resident (Trm) CD8 or Vδ1 γδ T cells that functionally converge with overlapping antigen-specific transcriptional programs and clonal expansion of public T-cell receptors. Spatial transcriptomics demonstrated colocalization of T cells with B and dendritic cells, which supply chemokines and costimulation.
Lastly, ICB significantly increased clonal expansion or recruitment of Trm and Vδ1 cells in tumors specifically in responders, underscoring their therapeutic importance. These data identify potential clinically actionable biomarkers and therapeutic targets for MCC. Significance: MCC serves as a model of ICB response.
We utilized the largest-to-date, multimodal MCC dataset (n = 116 patients) to uncover unique tumor-intrinsic properties and immune circuits that predict response.
We identified CD8 Trm and Vδ1 T cells as clinically actionable mediators of ICB response in major histocompatibility complex-high and -low MCCs, respectively.
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