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放射组学与单细胞转录组学的整合揭示了γδ T细胞在肺腺癌中的关键作用。

Integrating of Radiomics and Single-cell Transcriptomics Uncovers the Crucial Role of γδ T Cells in Lung Adenocarcinoma.

作者信息

Chen Ziyi, Yang Changqing, Wang Jiajing, Wang Baichuan, He Long, Liu Zhaoyi, Li Yingxi, Qin Tingting, Chen Peng

机构信息

Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Tianjin's Clinical Research Center for Cancer, Tianjin, China.

出版信息

J Cancer. 2025 Jan 6;16(4):1167-1180. doi: 10.7150/jca.105586. eCollection 2025.

Abstract

Gamma-delta (γδ) T cells are a crucial component of the tumor immune microenvironment which are considered a promising potential therapeutic strategy and target. Increasing evidence suggests that these unique immune cells play significant roles across various cancers. However, γδ T cells are often regarded as having dual roles in tumors, and their influence on lung adenocarcinoma (LUAD) remains controversial. In this research, we employed a wild-ranging approach using multi-omics data to investigate the function of γδ T cells in LUAD. The abundance of γδ T cell infiltration is linked to a positive prognosis in lung adenocarcinoma. The tumor-inhibiting role of γδ T cells was played through intrinsic lineage evolution, acquiring cytotoxic functions and engaging in signal transduction with antigen-presenting cells. Furthermore, patients with higher γδ T cells infiltration abundance might be more favorable for immunotherapy. Lastly, we established a predictive model using CT images based on radiomics, providing a non-invasive strategy to assess γδ T cells infiltration in LUAD patients. These findings offer new insights and perspectives the personalized therapies of γδ T cells.

摘要

γδ T细胞是肿瘤免疫微环境的关键组成部分,被认为是一种有前景的潜在治疗策略和靶点。越来越多的证据表明,这些独特的免疫细胞在各种癌症中发挥着重要作用。然而,γδ T细胞在肿瘤中常被认为具有双重作用,它们对肺腺癌(LUAD)的影响仍存在争议。在本研究中,我们采用了一种广泛的方法,利用多组学数据来研究γδ T细胞在LUAD中的功能。γδ T细胞浸润的丰度与肺腺癌的良好预后相关。γδ T细胞的肿瘤抑制作用是通过内在谱系进化、获得细胞毒性功能以及与抗原呈递细胞进行信号转导来实现的。此外,γδ T细胞浸润丰度较高的患者可能更适合免疫治疗。最后,我们基于放射组学利用CT图像建立了一个预测模型,为评估LUAD患者γδ T细胞浸润提供了一种非侵入性策略。这些发现为γδ T细胞的个性化治疗提供了新的见解和观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ad8/11786044/8a44bdf0ef95/jcav16p1167g001.jpg

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