Boudreau Jeanette E, Giglio Fabio, Gooley Ted A, Stevenson Philip A, Le Luduec Jean-Benoît, Shaffer Brian C, Rajalingam Raja, Hou Lihua, Hurley Carolyn Katovich, Noreen Harriet, Reed Elaine F, Yu Neng, Vierra-Green Cynthia, Haagenson Michael, Malkki Mari, Petersdorf Effie W, Spellman Stephen, Hsu Katharine C
Jeanette E. Boudreau, Fabio Giglio, Jean-Benoît Le Luduec, Brian C. Shaffer, and Katharine C. Hsu, Memorial Sloan Kettering Cancer Center; Brian C. Shaffer and Katharine C. Hsu, Weill Cornell Medical College, New York, NY; Ted A. Gooley, Philip A. Stevenson, Mari Malkki, and Effie W. Petersdorf, Fred Hutchinson Cancer Research Center, Seattle, WA; Raja Rajalingam, University of California, San Francisco, San Francisco; Elaine F. Reed, University of California, Los Angeles, Los Angeles, CA; Lihua Hou and Carolyn Katovich Hurley, Georgetown University Medical Center, Washington, DC; Harriet Noreen, University of Minnesota; Cynthia Vierra-Green, Michael Haagenson, and Stephen Spellman, Center for International Blood and Marrow Transplant Research, Minneapolis, MN; and Neng Yu, American Red Cross Blood Services, Dedham, MA.
J Clin Oncol. 2017 Jul 10;35(20):2268-2278. doi: 10.1200/JCO.2016.70.7059. Epub 2017 May 18.
Purpose Disease relapse remains a major challenge to successful outcomes in patients who undergo allogeneic hematopoietic cell transplantation (HCT). Donor natural killer (NK) cell alloreactivity in HCT can control leukemic relapse, but capturing alloreactivity in HLA-matched HCT has been elusive. HLA expression on leukemia cells-upregulated in the post-HCT environment-signals for NK cell inhibition via inhibitory killer immunoglobulin-like (KIR) receptors and interrupts their antitumor activity. We hypothesized that varied strengths of inhibition among subtypes of the ubiquitous KIR3DL1 and its cognate ligand, HLA-B, would titrate NK reactivity against acute myelogenous leukemia (AML). Patients and Methods By using an algorithm that was based on polymorphism-driven expression levels and specificities, we predicted and tested inhibitory and cytotoxic NK potential on the basis of KIR3DL1/HLA-B subtype combinations in vitro and evaluated their impact in 1,328 patients with AML who underwent HCT from 9/10 or 10/10 HLA-matched unrelated donors. Results Segregated by KIR3DL1 subtype, NK cells demonstrated reproducible patterns of strong, weak, or noninhibition by target cells with defined HLA-B subtypes, which translated into discrete cytotoxic hierarchies against AML. In patients, KIR3DL1 and HLA-B subtype combinations that were predictive of weak inhibition or noninhibition were associated with significantly lower relapse (hazard ratio [HR], 0.72; P = .004) and overall mortality (HR, 0.84; P = .030) compared with strong inhibition combinations. The greatest effects were evident in the high-risk group of patients with all KIR ligands (relapse: HR, 0.54; P < .001; and mortality: HR, 0.74; P < .008). Beneficial effects of weak and noninhibiting KIR3DL1 and HLA-B subtype combinations were separate from and additive to the benefit of donor activating KIR2DS1. Conclusion Consideration of KIR3DL1-mediated inhibition in donor selection for HLA-matched HCT may achieve superior graft versus leukemia effects, lower risk for relapse, and an increase in survival among patients with AML.
目的 疾病复发仍然是接受异基因造血细胞移植(HCT)患者获得成功治疗结果的一项重大挑战。HCT中供体自然杀伤(NK)细胞的同种异体反应性可控制白血病复发,但在HLA匹配的HCT中捕捉同种异体反应性一直难以实现。白血病细胞上的HLA表达(在HCT后环境中上调)通过抑制性杀伤细胞免疫球蛋白样(KIR)受体发出NK细胞抑制信号,并中断其抗肿瘤活性。我们假设,普遍存在的KIR3DL1及其同源配体HLA - B各亚型之间不同强度的抑制作用会调节NK细胞对急性髓性白血病(AML)的反应性。
患者与方法 通过使用一种基于多态性驱动的表达水平和特异性的算法,我们在体外根据KIR3DL1/HLA - B亚型组合预测并测试了抑制性和细胞毒性NK潜能,并评估了其对1328例接受来自9/10或10/10 HLA匹配无关供体的HCT的AML患者的影响。
结果 根据KIR3DL1亚型进行分类,NK细胞对具有特定HLA - B亚型的靶细胞表现出可重复的强抑制、弱抑制或无抑制模式,这转化为针对AML的离散细胞毒性等级。在患者中,与强抑制组合相比,预测为弱抑制或无抑制的KIR3DL1和HLA - B亚型组合与显著更低的复发率(风险比[HR],0.72;P = 0.004)和总死亡率(HR,0.84;P = 0.030)相关。在所有KIR配体的高危患者组中,最大的影响最为明显(复发:HR,0.54;P < 0.001;死亡率:HR,0.74;P < 0.008)。弱抑制和无抑制的KIR3DL1与HLA - B亚型组合的有益效果与供体激活性KIR2DS1的益处相互独立且具有累加性。
结论 在为HLA匹配的HCT选择供体时考虑KIR3DL1介导的抑制作用,可能会实现更好的移植物抗白血病效果、降低复发风险并提高AML患者的生存率。