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应用pMHC阵列来表征白血病患者疾病诊断时的肿瘤抗原特异性T细胞群体。

Application of the pMHC Array to Characterise Tumour Antigen Specific T Cell Populations in Leukaemia Patients at Disease Diagnosis.

作者信息

Brooks Suzanne E, Bonney Stephanie A, Lee Cindy, Publicover Amy, Khan Ghazala, Smits Evelien L, Sigurdardottir Dagmar, Arno Matthew, Li Demin, Mills Ken I, Pulford Karen, Banham Alison H, van Tendeloo Viggo, Mufti Ghulam J, Rammensee Hans-Georg, Elliott Tim J, Orchard Kim H, Guinn Barbara-ann

机构信息

Cancer Sciences Unit (MP824), Somers Cancer Sciences Building, University of Southampton, Southampton, United Kingdom.

Cancer Sciences Unit (MP824), Somers Cancer Sciences Building, University of Southampton, Southampton, United Kingdom; Department of Haematology, Southampton University Hospitals Trust, University of Southampton, Southampton, United Kingdom.

出版信息

PLoS One. 2015 Oct 22;10(10):e0140483. doi: 10.1371/journal.pone.0140483. eCollection 2015.

Abstract

Immunotherapy treatments for cancer are becoming increasingly successful, however to further improve our understanding of the T-cell recognition involved in effective responses and to encourage moves towards the development of personalised treatments for leukaemia immunotherapy, precise antigenic targets in individual patients have been identified. Cellular arrays using peptide-MHC (pMHC) tetramers allow the simultaneous detection of different antigen specific T-cell populations naturally circulating in patients and normal donors. We have developed the pMHC array to detect CD8+ T-cell populations in leukaemia patients that recognise epitopes within viral antigens (cytomegalovirus (CMV) and influenza (Flu)) and leukaemia antigens (including Per Arnt Sim domain 1 (PASD1), MelanA, Wilms' Tumour (WT1) and tyrosinase). We show that the pMHC array is at least as sensitive as flow cytometry and has the potential to rapidly identify more than 40 specific T-cell populations in a small sample of T-cells (0.8-1.4 x 10(6)). Fourteen of the twenty-six acute myeloid leukaemia (AML) patients analysed had T cells that recognised tumour antigen epitopes, and eight of these recognised PASD1 epitopes. Other tumour epitopes recognised were MelanA (n = 3), tyrosinase (n = 3) and WT1(126-134) (n = 1). One of the seven acute lymphocytic leukaemia (ALL) patients analysed had T cells that recognised the MUC1(950-958) epitope. In the future the pMHC array may be used provide point of care T-cell analyses, predict patient response to conventional therapy and direct personalised immunotherapy for patients.

摘要

癌症免疫疗法正变得越来越成功,然而,为了进一步加深我们对有效反应中涉及的T细胞识别的理解,并推动白血病免疫疗法个性化治疗的发展,已确定了个体患者中的精确抗原靶点。使用肽 - 主要组织相容性复合体(pMHC)四聚体的细胞阵列能够同时检测患者和正常供体中自然循环的不同抗原特异性T细胞群体。我们开发了pMHC阵列,以检测白血病患者中识别病毒抗原(巨细胞病毒(CMV)和流感(Flu))以及白血病抗原(包括芳香烃受体核转运蛋白相关因子1结构域1(PASD1)、黑色素A、威尔姆斯瘤(WT1)和酪氨酸酶)内表位的CD8 + T细胞群体。我们表明,pMHC阵列至少与流式细胞术一样灵敏,并且有潜力在一小份T细胞样本(0.8 - 1.4×10⁶)中快速识别40多个特定T细胞群体。在分析的26例急性髓系白血病(AML)患者中,有14例患者的T细胞识别肿瘤抗原表位,其中8例识别PASD1表位。其他识别的肿瘤表位包括黑色素A(n = 3)、酪氨酸酶(n = 3)和WT1(126 - 134)(n = 1)。在分析的7例急性淋巴细胞白血病(ALL)患者中,有1例患者的T细胞识别MUC1(950 - 958)表位。未来,pMHC阵列可用于提供即时护理T细胞分析、预测患者对传统疗法的反应,并指导患者的个性化免疫治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f70b/4619595/e6ddc98f467e/pone.0140483.g001.jpg

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