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整合多组学数据揭示γδ T 细胞在三阴性乳腺癌中的抗肿瘤作用及临床获益

英文原题:Integrating multi-omics data reveals the antitumor role and clinical benefits of gamma-delta T cells in triple-negative breast cancer.

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Integrating multi-omics data reveals the antitumor role and clinical benefits of gamma-delta T cells in triple-negative breast cancer.

PubMed 2025/04/07(内容时间) BMC Cancer Q2 · IF 4.1(JCR 2025)

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研究概要

我们的研究为基于γδT 细胞的 TNBC 患者个体化治疗提供了新的见解和理论依据。

研究思路结论见上方概要

γδ T细胞是肿瘤微环境的重要组成部分,已被认为是癌症治疗中有前景的生物标志物和靶点。越来越多的证据表明,γδ T细胞在不同癌症中发挥不同的作用。然而,γδ T细胞在乳腺癌中的影响仍存在争议。

在这项研究中,我们采用综合方法探讨了γδT细胞在乳腺癌中的作用,包括bulk和单细胞测序、基于磁共振成像(MRI)的放射组学、基因组数据以及免疫组织化学。单细胞RNA图谱用于推断γδT细胞的潜在谱系演化及其与其他免疫细胞的相互作用。Bulk RNA测序用于揭示不同γδT细胞丰度水平患者在信号通路以及放疗和免疫治疗反应方面的异质性。基因组分析用于识别与γδT细胞浸润相关的关键基因突变。免疫组织化学用于验证γδT细胞在乳腺癌患者中的预后价值。最后,放射组学用于建立γδT细胞丰度与MRI图像特征之间的相关性。

γδT细胞浸润与三阴性乳腺癌(TNBC)的良好预后密切相关,但在其他乳腺癌亚型中则不然。γδT细胞可能通过内在谱系演化发挥抗肿瘤作用,或通过配体-受体对与抗原呈递细胞相互作用。γδT细胞丰度高的患者从单纯化疗或放疗中获益可能多于其联合治疗。此外,γδT细胞丰度高的患者更可能从免疫治疗中获益。最后,我们建立了一个基于动态对比增强-MRI的影像组学模型,该模型提示了评估TNBC患者γδT细胞丰度的潜力。

展开英文摘要原文

Gamma-delta (γδ) T cells are a critical component of the tumor microenvironment and have been recognized as a promising biomarker and target for cancer therapy. Increasing evidence suggests that γδT cells play distinct roles in different cancers. However, the impact of γδT cells in breast cancer remains controversial.

In this study, we investigated the role of γδT cells in breast cancer using a comprehensive approach, including bulk and single-cell sequencing, radiomics based on magnetic resonance imaging (MRI), genomic data, and immunohistochemistry. Single-cell RNA profiling was used to infer the potential lineage evolution of γδT cells and their interactions with other immune cells. Bulk RNA sequencing was included to uncover the heterogeneity in signaling pathways, as well as radiotherapy and immunotherapy responses, among patients with varying levels of γδT cell abundance. Genomic analysis was used to recognize the critical gene mutations with the infiltration of γδT cells. Immunohistochemistry was performed to validate the prognostic value of γδT cells in breast cancer patients. Lastly, radiomics was used to establish a correlation between the abundance of γδT cells and the features of MRI images.

The γδT cell infiltration was closely associated with favorable prognosis in triple-negative breast cancer (TNBC) but not in other subtypes of breast cancer. γδT cells may exert antitumor effects through intrinsic lineage evolution or interact with antigen-presenting cells through ligand-receptor pairs. Patients with a high γδT cell abundance may benefit more from chemotherapy or radiotherapy alone than their combination. Additionally, patients with a high γδT cell abundance were more likely to benefit from immunotherapy. Finally, we established a radiomic model based on dynamic contrast-enhanced-MRI, which indicated the potential for estimating the γδT cell abundance for patients with TNBC.

Our study provides novel insight and a theoretical basis for individualized therapy of patients with TNBC based on γδT cells.

论文信息

作者
Wang G、Wang S、Song W、Lu C、Chen Z、He L、Wang X、Wang Y
第一作者单位
The First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China.China
通讯作者单位
Immunology Department, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Medical University, Qixiangtai Road 22, He-Ping District, Tianjin, 300070, China. yingxili@tmu.edu.cn.China
期刊
BMC cancer2025 Apr 7
原文标识
PubMed 40197136 · DOI 10.1186/s12885-025-14029-8