Suppr超能文献

基于浆细胞样树突状细胞的检测方法扩增的肿瘤特异性 T 细胞的亲合力可预测黑色素瘤患者的临床转归。

The avidity of tumor-specific T cells amplified by a plasmacytoid dendritic cell-based assay can predict the clinical evolution of melanoma patients.

机构信息

University Grenoble Alpes, Grenoble, France.

Immunobiology& Immunotherapy of Chronic Diseases, U1209, INSERM, La Tronche, France.

出版信息

Pigment Cell Melanoma Res. 2018 Jan;31(1):82-94. doi: 10.1111/pcmr.12618. Epub 2017 Oct 21.

Abstract

The advent of immune checkpoint blockers and targeted therapies has changed the outcome of melanoma. However, many patients experience relapses, emphasizing the need for predictive and prognostic biomarkers. We developed a strategy based on plasmacytoid dendritic cells (pDCs) loaded with melanoma tumor antigens that allows eliciting highly efficient antitumor T-cell responses. We used it to investigate antitumor T-cell functionality in peripheral blood mononuclear cells and tumor-infiltrating lymphocytes from melanoma patients. The pDCs elicited tumor-specific T cells in different proportions and displaying diverse functional features, dependent upon the stage of the disease, but independent of the histological parameters at diagnosis. Strikingly, the avidity of the MelA-specific T cells triggered by the pDCs was found to predict patient relapse time and overall survival. Our findings highlighted unexplored aspects of antitumor T-cell responsiveness in melanoma, and revealed for the first time the structural avidity of tumor-specific T cells as a crucial feature for predicting clinical evolution.

摘要

免疫检查点阻滞剂和靶向治疗的出现改变了黑色素瘤的结局。然而,许多患者经历复发,这强调了需要预测和预后生物标志物。我们开发了一种基于负载黑色素瘤肿瘤抗原的浆细胞样树突状细胞(pDC)的策略,该策略能够引发高效的抗肿瘤 T 细胞反应。我们使用它来研究黑色素瘤患者外周血单核细胞和肿瘤浸润淋巴细胞中的抗肿瘤 T 细胞功能。pDC 以不同的比例诱导出肿瘤特异性 T 细胞,并表现出不同的功能特征,这取决于疾病的阶段,但与诊断时的组织学参数无关。值得注意的是,pDC 触发的 MelA 特异性 T 细胞的亲和力被发现可以预测患者的复发时间和总生存期。我们的研究结果强调了黑色素瘤中抗肿瘤 T 细胞反应的未被探索的方面,并首次揭示了肿瘤特异性 T 细胞的结构亲和力作为预测临床演变的关键特征。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验