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泛癌单细胞图谱揭示双阴性 T 细胞的异质性和功能多样性

英文原题:A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells.

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A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells.

PubMed 2026/01/03(内容时间) Mol Cancer Q1 · IF 42.2(JCR 2025)

研究概要

我们的研究揭示了TME中DNT细胞此前未被充分认识到的异质性和功能多样性,并证明了它们对肿瘤进展和免疫治疗结局的深远影响。

研究思路结论见上方概要

双阴性T(DNT)细胞,缺乏CD4和CD8表达,在肿瘤免疫学中发挥关键作用,并在癌症研究中受到越来越多的关注。然而,它们在肿瘤微环境(TME)中的异质性和功能多样性仍未得到充分探索。

对来自不同癌症类型的内部和公开可用的单细胞 RNA 测序(scRNA-seq)数据,在质控和批次效应校正后进行整合,随后从 CD3 + T 细胞亚型中分离 DNT 细胞。分析了不同 DNT 亚群之间的功能特征、细胞间通讯、分化轨迹、调控网络和临床相关性。使用多重免疫荧光和空间转录组学验证关键发现,以研究 DNT 亚群的空间定位及其在 TME 中的相互作用。还使用基于 MC38 的小鼠肿瘤模型评估了 γδ T 细胞对免疫治疗反应的影响。

通过整合来自23种癌症类型、2,369个样本的scRNA-seq数据,我们建立了一个包含157,025个高质量DNT细胞的全面单细胞图谱。鉴定出14个不同的DNT亚群(6个αβ DNT亚群和8个γδ T细胞亚群),展示了肿瘤类型特异性和共享的分布模式,以及TME内独特的细胞-细胞相互作用网络。这些亚群表现出专门的功能特征,包括细胞毒性、抗原呈递和免疫调节,表明DNT细胞的功能多样性在很大程度上是亚群特异性的,而非单一群体内多功能性的表现。我们还描绘了αβ DNT和γδ T细胞亚群的不同分化轨迹,包括肠道驻留γδ T细胞在细胞毒性和免疫抑制状态之间转换的功能可塑性。值得注意的是,几个DNT亚群与有利的临床治疗结局显著相关,包括对癌症免疫治疗反应的改善。一致地,在小鼠肿瘤模型中清除γδ T细胞显著降低了PD-1阻断的疗效,强调了它们在治疗反应中的关键作用。

展开英文摘要原文

BACKGROUND: Double-Negative T (DNT) cells, lacking both CD4 and CD8 expression, play critical roles in cancer immunology, and have garnered increasing attention in cancer research. However, their heterogeneity and functional diversity within the tumor microenvironment (TME) remain underexplored. METHODS: In-house and publicly available single-cell RNA sequencing (scRNA-seq) data for different cancer types were integrated after quality control and batch effect correction, followed by DNT cells separation from CD3 + T cells subtypes. Functional characteristics, intercellular communication, differentiation trajectories, regulatory networks, and clinical relevance were analyzed among different DNT subsets. Key findings were validated using multiplex immunofluorescence and spatial transcriptomics to investigate the spatial localization of DNT subsets and their interactions within the TME. Impact of γδ T cells on immunotherapy response was also assessed using MC38-based murine tumor model. RESULTS: By integrating scRNA-seq data from 2,369 samples across 23 cancer types, we established a comprehensive single-cell atlas of 157,025 high-quality DNT cells. Fourteen distinct DNT subsets (6 αβ DNT and 8 γδ T cell subsets) were identified, demonstrating tumor both type-specific and shared distribution patterns, as well as unique cell-cell interaction network within the TME. These subsets displayed specialized functional profiles, including cytotoxicity, antigen presentation, and immune modulation, indicating that the functional diversity of DNT cells is largely subset-specific rather than a manifestation of multifunctionality within a single population. We also delineated divergent trajectories for αβ DNT and γδ T cell subsets, including the functional plasticity of gut-resident γδ T cells transitioning between cytotoxic and immunosuppressive states. Notably, several DNT subsets were significantly associated with favorable clinical treatment outcomes, including improved responses to cancer immunotherapy. Consistently, depletion of γδ T cells in the murine tumor model significantly decreased the efficacy of PD-1 blockade, underscoring their critical role in therapeutic response. CONCLUSIONS: Our study uncovers the previously underappreciated heterogeneity and functional diversity of DNT cells in the TME and demonstrates their profound impact on tumor progression and immunotherapy outcomes.

论文信息

作者
Hao Q、Zhou T、Yan H、Ren Z、Mao W、Huang LB、Chen YY、Wang Y
第一作者单位
Center for Precision Medicine, Quzhou Key Laboratory of Aging Biology and Longevity Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.China
通讯作者单位
Center for Precision Medicine, Quzhou Key Laboratory of Aging Biology and Longevity Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China. xuheng81916@scu.edu.cn.China
期刊
Molecular cancer2026 Jan 3
原文标识
PubMed 41484771 · DOI 10.1186/s12943-025-02548-8