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慢性髓性白血病无治疗缓解的成功及其与免疫抑制剂减少和自然杀伤细胞增加的关系。

Successful treatment-free remission in chronic myeloid leukaemia and its association with reduced immune suppressors and increased natural killer cells.

机构信息

Precision Medicine Theme, South Australia Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia.

School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia.

出版信息

Br J Haematol. 2020 Nov;191(3):433-441. doi: 10.1111/bjh.16718. Epub 2020 Apr 30.

Abstract

There is currently no biomarker that reliably predicts treatment-free remission (TFR) in chronic myeloid leukaemia (CML). We characterised effector and suppressor immune responses at the time of tyrosine kinase inhibitor (TKI) cessation in patients from the CML8 and CML10 clinical studies. Natural killer (NK) cells with increased expression of activating NK receptors were higher in patients who achieved TFR. There was no difference in the proportion of CD4 or CD8 T cells. Furthermore, we found that FoxP3 regulatory T cells (T reg) and monocytic myeloid-derived suppressor cells (Mo-MDSCs) were concomitantly decreased in TFR patients, suggesting that the effector and suppressor arms of the immune system work in concert to mediate TFR. A discovery cohort (CML10) was used to generate a predictive model, using logistic regression. Patients classified into the high-risk group were more likely to relapse when compared with the low-risk group (HR 7·4, 95% CI 2·9-19·1). The model was successfully validated on the independent CML8 cohort (HR 8·3, 95% CI 2·2-31·3). Effective prediction of TFR success may be obtained with an effector-suppressor score, calculated using absolute NK cell, T reg, and Mo-MDSC counts, at TKI cessation, reflecting the contribution of both immune suppressors and effectors in the immunobiology underlying successful TFR.

摘要

目前尚无可靠的生物标志物可预测慢性髓性白血病(CML)的无治疗缓解(TFR)。我们在 CML8 和 CML10 临床研究中,在停止酪氨酸激酶抑制剂(TKI)时,对患者的效应和抑制性免疫反应进行了特征描述。在达到 TFR 的患者中,表达增加的激活性 NK 受体的 NK 细胞更高。CD4 或 CD8 T 细胞的比例没有差异。此外,我们发现 TFR 患者的 FoxP3 调节性 T 细胞(Treg)和单核细胞髓系来源的抑制性细胞(Mo-MDSC)同时减少,这表明免疫系统的效应和抑制臂协同作用以介导 TFR。使用逻辑回归在发现队列(CML10)中生成了一个预测模型。与低风险组相比,高风险组的患者更有可能复发(HR 7·4,95%CI 2·9-19·1)。该模型在独立的 CML8 队列中成功验证(HR 8·3,95%CI 2·2-31·3)。通过在 TKI 停药时使用绝对 NK 细胞、Treg 和 Mo-MDSC 计数计算效应-抑制评分,可以有效地预测 TFR 的成功,这反映了在成功的 TFR 免疫生物学中,免疫抑制剂和效应物的共同作用。

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