Lee Sunyoung, Chae Seok Joo, Jang In-Hwan, Oh Se-Chan, Kim Seok-Min, Lee Soo Yun, Kim Ji Hyun, Ko Jesang, Kim Hang J, Song Ik-Chan, Kim Jae Kyoung, Kim Tae-Don
Center for Cell and Gene Therapy, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea; Division of Life Sciences, Korea University, Seoul, 02841, Republic of Korea.
Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea; Department of Bioengineering, Rice University, Houston, TX, 77005, USA.
EBioMedicine. 2024 Dec;110:105459. doi: 10.1016/j.ebiom.2024.105459. Epub 2024 Nov 22.
Natural killer (NK) cells are a subset of innate lymphoid cells that are inherently capable of recognizing and killing infected or tumour cells. This has positioned NK cells as a promising live drug for tumour immunotherapy, but limited success suggests incomplete knowledge of their killing mechanism. NK cell-mediated killing involves a complex decision-making process based on integrating activating and inhibitory signals from various ligand-receptor repertoires. However, the relative importance of the different activating ligand-receptor interactions in triggering NK killing remains unclear.
We employed a systematic approach combining clinical, in silico, in vitro, and in vivo data analysis to quantify the impact of various activating ligands. Clinical data analysis was conducted using massive pan-cancer data (n = 10,595), where patients with high NK cell levels were stratified using CIBERSORT. Subsequently, multivariate Cox regression and Kaplan-Meier (KM) survival analysis were performed based on activating ligand expression. To examine the impact of ligand expression on NK killing at the cellular level, we assessed surface expression of five major activating ligands (B7H6, MICA/B, ULBP1, ULBP2/5/6, and ULBP3) of human tumour cell lines of diverse origins (n = 33) via flow cytometry (FACs) and their NK cell-mediated cytotoxicity on by calcein-AM assay using human primary NK cells and NK-92 cell lines. Based on this data, we quantified the contribution of each activating ligand to the NK killing activity using mathematical models and Bayesian statistics. To further validate the results, we performed calcein-AM assays upon ligand knockdown and overexpression, conjugation assays, and co-culture assays in activating ligand-downregulated/overexpressed in liquid tumour (LT) cell lines. Moreover, we established LT-xenograft mouse models to assess the efficacy of NK cell targeting toward tumours with dominant ligands.
Through the clinical analysis, we discovered that among nearly all 18 activating ligands, only patients with LT who were NK cell-rich and specifically had higher B7H6 level exhibited a favorable survival outcome (p = 0.0069). This unexpected dominant role of B7H6 was further confirmed by the analysis of datasets encompassing multiple ligands and a variety of tumours, which showed that B7H6 exhibited the highest contribution to NK killing among five representative ligands. Furthermore, LT cell lines (acute myeloid leukemia (AML), B cell lymphoma, and T-acute lymphocytic leukemia (ALL)) with lowered B7H6 demonstrated decreased susceptibility to NK cell-mediated cytotoxicity compared to those with higher levels. Even within the same cell line, NK cells selectively targeted cells with higher B7H6 levels. Finally, LT-xenograft mouse models (n = 24) confirmed that higher B7H6 results in less tumour burden and longer survival in NK cell-treated LT mice (p = 0.0022).
While NK cells have gained attention for their potent anti-tumour effects without causing graft-versus-host disease (GvHD), thus making them a promising off-the-shelf therapy, our limited understanding of NK killing mechanisms has hindered their clinical application. This study illuminates the crucial role of the activating ligand B7H6 in driving NK cell killing, particularly in the context of LT. Therefore, the expression level of B7H6 could serve as a prognostic marker for patients with LT. Moreover, for the development of NK cell-based immunotherapy, focusing on increasing the level of B7H6 on its cognate receptor, NKp30, could be the most effective strategy.
This work was supported by the National Research Council of Science & Technology (NST) grant (CAP-18-02-KRIBB, GTL24021-000), a National Research Foundation grant (2710012258, 2710004815), and an Institute for Basic Science grant (IBS-R029-C3).
自然杀伤(NK)细胞是先天性淋巴细胞的一个亚群,其本身能够识别并杀死被感染的细胞或肿瘤细胞。这使得NK细胞成为肿瘤免疫治疗中一种有前景的生物活性药物,但成效有限表明我们对其杀伤机制的了解并不完整。NK细胞介导的杀伤涉及一个复杂的决策过程,该过程基于整合来自各种配体 - 受体库的激活和抑制信号。然而,不同激活配体 - 受体相互作用在触发NK杀伤中的相对重要性仍不清楚。
我们采用了一种系统方法,结合临床、计算机模拟、体外和体内数据分析,以量化各种激活配体的影响。临床数据分析使用大规模泛癌数据(n = 10,595)进行,其中使用CIBERSORT对NK细胞水平高的患者进行分层。随后,基于激活配体表达进行多变量Cox回归和Kaplan - Meier(KM)生存分析。为了在细胞水平上研究配体表达对NK杀伤的影响,我们通过流式细胞术(FACs)评估了多种来源的人类肿瘤细胞系(n = 33)的五种主要激活配体(B7H6、MICA/B、ULBP1、ULBP2/5/6和ULBP3)的表面表达,并使用人原代NK细胞和NK - 92细胞系通过钙黄绿素 - AM测定法检测它们的NK细胞介导的细胞毒性。基于这些数据,我们使用数学模型和贝叶斯统计量化了每种激活配体对NK杀伤活性的贡献。为了进一步验证结果,我们在液体肿瘤(LT)细胞系中进行了配体敲低和过表达后的钙黄绿素 - AM测定、结合测定和共培养测定。此外,我们建立了LT - 异种移植小鼠模型,以评估NK细胞靶向具有优势配体的肿瘤的疗效。
通过临床分析,我们发现几乎在所有18种激活配体中,只有富含NK细胞且B7H6水平特别高的LT患者表现出良好的生存结果(p = 0.0069)。对包含多种配体和各种肿瘤的数据集的分析进一步证实了B7H6这种意外的主导作用,该分析表明B7H6在五种代表性配体中对NK杀伤的贡献最高。此外,与B7H6水平较高的细胞系相比,B7H6水平降低的LT细胞系(急性髓性白血病(AML)、B细胞淋巴瘤和T急性淋巴细胞白血病(ALL))对NK细胞介导的细胞毒性的敏感性降低。即使在同一细胞系中,NK细胞也选择性地靶向B7H6水平较高 的细胞。最后,LT - 异种移植小鼠模型(n = 24)证实,较高的B7H6水平导致NK细胞治疗的LT小鼠的肿瘤负担减轻且生存期延长(p = 0.0022)。
虽然NK细胞因其强大的抗肿瘤作用且不引起移植物抗宿主病(GvHD)而受到关注,从而使其成为一种有前景的现成疗法,但我们对NK杀伤机制的有限了解阻碍了它们的临床应用。本研究阐明了激活配体B7H6在驱动NK细胞杀伤中的关键作用,特别是在LT的背景下。因此,B7H6的表达水平可作为LT患者的预后标志物。此外,对于基于NK细胞的免疫治疗的开发,专注于提高其同源受体NKp30上的B7H6水平可能是最有效的策略。
这项工作得到了国家科学技术研究委员会(NST)资助(CAP - 18 - 02 - KRIBB,GTL24021 - 000)、国家研究基金会资助(2710012258,2710004815)以及基础科学研究所资助(IBS - R029 - C3)。