Department of Medicine, Transplant and Cellular Therapy Program, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Bone Marrow Transplant. 2024 Mar;59(3):334-343. doi: 10.1038/s41409-023-02168-0. Epub 2023 Dec 18.
Identifying plasma biomarkers early after allo-HCT may become crucial to prevent and treat severe aGvHD. We utilized samples from 203 allo-HCT patients selected from the Blood & Marrow Transplant Clinical Trials Network (BMT CTN) to identify new biomarker models to predict aGvHD and overall mortality. Two new biomarkers (Gal-3 and LAG-3), and previously identified biomarkers (ST2/IL33R, IL6, Reg3A, PD-1, TIM-3, TNFR1) were screened. Increased Gal-3 levels measured at Day +7 post-transplant predicted the development of aGvHD (grade 2-4) in the total population [AUC: 0.602; P = 0.045] while higher Day +14 levels predicted overall mortality due to toxicity among patients receiving reduced intensity conditioning [P = 0.028] but not myeloablative conditioning. Elevated LAG-3 levels (Day +21) were associated with less severe aGvHD [159.1 ng/mL vs 222.0 ng/mL; P = 0.046]. We developed a model utilizing Gal-3, LAG-3, and PD-1 levels at Days +14 and +21 with an improved performance to predict aGvHD and overall non-relapse mortality. We confirmed four informative biomarkers (Reg3A, ST2, TIM-3, and TNFR1) predict severe aGvHD at day +14 and day +21 (grade 3-4). In conclusion, the combination of Gal-3 alone or in combination with LAG-3, and PD-1 is a new informative model to predict aGvHD development and overall non-relapse mortality after allo-HCT.
识别 allo-HCT 后早期的血浆生物标志物对于预防和治疗严重的移植物抗宿主病(aGvHD)可能变得至关重要。我们利用来自血液和骨髓移植临床试验网络(BMT CTN)的 203 例 allo-HCT 患者的样本,确定新的生物标志物模型来预测 aGvHD 和总死亡率。筛选了两种新的生物标志物(Gal-3 和 LAG-3)和以前确定的生物标志物(ST2/IL33R、IL6、Reg3A、PD-1、TIM-3、TNFR1)。移植后第 7 天(Day +7)升高的 Gal-3 水平预测了总人群中 aGvHD(2-4 级)的发生(AUC:0.602;P=0.045),而第 14 天(Day +14)升高的水平预测了接受强度降低的患者因毒性导致的总死亡率[P=0.028]而不是骨髓清除性条件。较高的 LAG-3 水平(Day +21)与较轻的 aGvHD 相关[159.1ng/mL 比 222.0ng/mL;P=0.046]。我们利用 Day +14 和 Day +21 的 Gal-3、LAG-3 和 PD-1 水平开发了一种模型,该模型提高了预测 aGvHD 和总非复发死亡率的性能。我们证实了四个信息生物标志物(Reg3A、ST2、TIM-3 和 TNFR1)在 Day +14 和 Day +21 预测严重的 aGvHD(3-4 级)。总之,Gal-3 单独或与 LAG-3 和 PD-1 联合使用是一种新的预测 allo-HCT 后 aGvHD 发展和总非复发死亡率的信息模型。