The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
Division of Hematology, Oncology and Blood and Marrow Transplantation, Children's Hospital of Los Angeles, Los Angeles, CA.
Transplant Cell Ther. 2024 Apr;30(4):421-432. doi: 10.1016/j.jtct.2024.01.079. Epub 2024 Feb 4.
The overall response rate (ORR) 28 days after treatment has been adopted as the primary endpoint for clinical trials of acute graft versus host disease (GVHD). However, physicians often need to modify immunosuppression earlier than day (D) 28, and non-relapse mortality (NRM) does not always correlate with ORR at D28. We studied 1144 patients that received systemic treatment for GVHD in the Mount Sinai Acute GVHD International Consortium (MAGIC) and divided them into a training set (n=764) and a validation set (n=380). We used a recursive partitioning algorithm to create a Mount Sinai model that classifies patients into favorable or unfavorable groups that predicted 12 month NRM according to overall GVHD grade at both onset and D14. In the Mount Sinai model grade II GVHD at D14 was unfavorable for grade III/IV GVHD at onset and predicted NRM as well as the D28 standard response model. The MAGIC algorithm probability (MAP) is a validated score that combines the serum concentrations of suppression of tumorigenicity 2 (ST2) and regenerating islet-derived 3-alpha (REG3α) to predict NRM. Inclusion of the D14 MAP biomarker score with the D14 Mount Sinai model created three distinct groups (good, intermediate, poor) with strikingly different NRM (8%, 35%, 76% respectively). This D14 MAGIC model displayed better AUC, sensitivity, positive and negative predictive value, and net benefit in decision curve analysis compared to the D28 standard response model. We conclude that this D14 MAGIC model could be useful in therapeutic decisions and may offer an improved endpoint for clinical trials of acute GVHD treatment.
总体缓解率(ORR)在治疗后 28 天被采用为急性移植物抗宿主病(GVHD)临床试验的主要终点。然而,医生通常需要在第 28 天之前更早地修改免疫抑制治疗,非复发死亡率(NRM)并不总是与第 28 天的 ORR 相关。我们研究了在西奈山急性 GVHD 国际联盟(MAGIC)中接受系统治疗的 1144 例 GVHD 患者,并将他们分为训练集(n=764)和验证集(n=380)。我们使用递归分区算法创建了一个西奈山模型,该模型根据总体 GVHD 分级,将患者分为有利或不利组,以预测 12 个月的 NRM。在西奈山模型中,第 14 天的 II 级 GVHD 对发病时的 III/IV 级 GVHD 不利,并预测 NRM 以及 D28 标准反应模型。MAGIC 算法概率(MAP)是一种经过验证的评分,它结合了肿瘤抑制物 2(ST2)和再生胰岛衍生 3-α(REG3α)的血清浓度,以预测 NRM。将第 14 天的 MAP 生物标志物评分与第 14 天的西奈山模型相结合,创建了三个明显不同的 NRM(8%、35%、76%)的不同组。与 D28 标准反应模型相比,D14 MAGIC 模型在 AUC、敏感性、阳性和阴性预测值以及决策曲线分析中的净效益方面显示出更好的效果。我们得出结论,D14 MAGIC 模型可能对治疗决策有用,并可能为急性 GVHD 治疗的临床试验提供一个改进的终点。