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单细胞分析在头颈部癌症中揭示了早期转移过程中的潜在免疫逃逸机制。

Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis.

机构信息

Cancer Therapeutics Research Laboratory, National Cancer Centre, Singapore, Singapore.

Academic Clinical Program in Oncology, Duke-NUS Medical School, Singapore, Singapore.

出版信息

Nat Commun. 2023 Mar 27;14(1):1680. doi: 10.1038/s41467-023-37379-y.

Abstract

Profiling tumors at single-cell resolution provides an opportunity to understand complexities underpinning lymph-node metastases in head and neck squamous-cell carcinoma. Single-cell RNAseq (scRNAseq) analysis of cancer-cell trajectories identifies a subpopulation of pre-metastatic cells, driven by actionable pathways including AXL and AURK. Blocking these two proteins blunts tumor invasion in patient-derived cultures. Furthermore, scRNAseq analyses of tumor-infiltrating CD8 + T-lymphocytes show two distinct trajectories to T-cell dysfunction, corroborated by their clonal architecture based on single-cell T-cell receptor sequencing. By determining key modulators of these trajectories, followed by validation using external datasets and functional experiments, we uncover a role for SOX4 in mediating T-cell exhaustion. Finally, interactome analyses between pre-metastatic tumor cells and CD8 + T-lymphocytes uncover a putative role for the Midkine pathway in immune-modulation and this is confirmed by scRNAseq of tumors from humanized mice. Aside from specific findings, this study demonstrates the importance of tumor heterogeneity analyses in identifying key vulnerabilities during early metastasis.

摘要

单细胞分辨率下的肿瘤分析为了解头颈部鳞状细胞癌淋巴结转移的复杂性提供了机会。对癌细胞轨迹的单细胞 RNA 测序 (scRNAseq) 分析鉴定了一个具有转移前特征的细胞亚群,其驱动因素包括可操作的途径,如 AXL 和 AURK。阻断这两种蛋白可削弱患者来源培养物中的肿瘤侵袭。此外,对肿瘤浸润 CD8+T 淋巴细胞的 scRNAseq 分析显示,T 细胞功能障碍有两种不同的轨迹,这与基于单细胞 T 细胞受体测序的克隆结构相吻合。通过确定这些轨迹的关键调节剂,并使用外部数据集和功能实验进行验证,我们揭示了 SOX4 在介导 T 细胞耗竭中的作用。最后,通过对转移前肿瘤细胞和 CD8+T 淋巴细胞之间的相互作用组分析,揭示了 Midkine 途径在免疫调节中的潜在作用,这一作用在人源化小鼠的肿瘤 scRNAseq 中得到了证实。除了具体的发现外,这项研究还证明了肿瘤异质性分析在确定早期转移过程中的关键脆弱性方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f90/10042873/17ffa6e24b42/41467_2023_37379_Fig1_HTML.jpg

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