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免疫检查点治疗应答者表现出肿瘤浸润淋巴细胞的早期克隆扩增。

Immune checkpoint therapy responders display early clonal expansion of tumor infiltrating lymphocytes.

机构信息

National Centre for Asbestos Related Diseases, Institute for Respiratory Health, University of Western Australia, Perth, Australia.

Telethon Kids Institute, Perth, Australia.

出版信息

Oncoimmunology. 2024 Apr 26;13(1):2345859. doi: 10.1080/2162402X.2024.2345859. eCollection 2024.

Abstract

Immune checkpoint therapy (ICT) causes durable tumour responses in a subgroup of patients, but it is not well known how T cell receptor beta (TCRβ) repertoire dynamics contribute to the therapeutic response. Using murine models that exclude variation in host genetics, environmental factors and tumour mutation burden, limiting variation between animals to naturally diverse TCRβ repertoires, we applied TCRseq, single cell RNAseq and flow cytometry to study TCRβ repertoire dynamics in ICT responders and non-responders. Increased oligoclonal expansion of TCRβ clonotypes was observed in responding tumours. Machine learning identified TCRβ CDR3 signatures unique to each tumour model, and signatures associated with ICT response at various timepoints before or during ICT. Clonally expanded CD8+ T cells in responding tumours post ICT displayed effector T cell gene signatures and phenotype. An early burst of clonal expansion during ICT is associated with response, and we report unique dynamics in TCRβ signatures associated with ICT response.

摘要

免疫检查点疗法(ICT)可使一部分患者的肿瘤持久消退,但 T 细胞受体β(TCRβ)谱系动力学如何促进治疗反应尚不清楚。我们使用排除了宿主遗传、环境因素和肿瘤突变负担变化的鼠模型,将动物之间的变化限制为自然存在的多样化 TCRβ 谱系,应用 TCRseq、单细胞 RNAseq 和流式细胞术研究 ICT 应答者和非应答者的 TCRβ 谱系动力学。在应答肿瘤中观察到 TCRβ 克隆型的寡克隆扩增增加。机器学习为每个肿瘤模型确定了独特的 TCRβ CDR3 特征,以及在 ICT 之前或期间的各个时间点与 ICT 反应相关的特征。ICT 后应答肿瘤中克隆扩增的 CD8+T 细胞显示效应 T 细胞基因特征和表型。ICT 期间早期的克隆扩增与反应相关,我们报告了与 ICT 反应相关的 TCRβ 特征的独特动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a8f/11057660/14ebe7562f8d/KONI_A_2345859_F0001_OC.jpg

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