Chee L, Tacey M, Lim B, Lim A, Szer J, Ritchie D
Department of Clinical Haematology and Bone Marrow Transplant Service, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
Australian Cancer Research Foundation (ACRF) Translational Laboratory, Level 10, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.
Bone Marrow Transplant. 2017 Jun;52(6):870-877. doi: 10.1038/bmt.2017.51. Epub 2017 May 15.
Prognostic biomarkers are useful in allogeneic stem cell transplantation (SCT) to predict survival and relapse outcomes. We sought to derive a prognostic scoring system, which augmented the predictive power of the disease risk index (DRI) by incorporating biomarkers and validating their significance after SCT. The outcomes of overall survival (OS) and relapse were assessed with non-relapse mortality (NRM) treated as a competing risk to relapse. Six hundred and two patients were identified through a retrospective analysis of allogeneic SCT recipients for haematological malignancy between 2000 and 2013 in a single centre. Multivariate analysis confirmed the significant predictors of OS pre-SCT were serum ferritin >1000 μg/L (hazard ratio (HR) 1.94, 95% comorbidity index (CI): 1.44-2.60), Hb <100 g/L (HR 1.71, 95% CI: 1.27-2.30) and albumin <30 g/L (HR 2.65, 95% CI: 1.30-5.40). In combination with DRI, these biomarkers significantly improved the Harrell's C statistic (excluding biomarkers: C=0.60, 95% CI: 0.57-0.64; with biomarkers: C=0.65, 95% CI: 0.62-0.69, P<0.001). Four prognostic groups were derived at the pre-SCT time point: Group 1 (Scores 0-1, n=180, HR=1 (ref)), Group 2 (Scores 2-5, n=298, HR 2.7, 95% CI: 1.8-3.9), Group 3 (Scores 6-7, n=87, HR 4.5, 95% CI: 3.0-6.9) and Group 4 (scores 8-10, n=9, HR 13.4, 95% CI: 5.9-30.2). These prognostic models were also predictive of relapse and NRM and remained valid at day 100, 12 months and 24 months post SCT.
预后生物标志物在异基因干细胞移植(SCT)中对于预测生存和复发结局很有用。我们试图推导一种预后评分系统,通过纳入生物标志物并在SCT后验证其意义来增强疾病风险指数(DRI)的预测能力。将非复发死亡率(NRM)作为复发的竞争风险来评估总生存(OS)和复发的结局。通过对2000年至2013年在单一中心接受异基因SCT治疗血液系统恶性肿瘤的患者进行回顾性分析,确定了602例患者。多变量分析证实,SCT前OS的显著预测因素为血清铁蛋白>1000μg/L(风险比(HR)1.94,95%合并症指数(CI):1.44 - 2.60)、血红蛋白<100g/L(HR 1.71,95%CI:1.27 - 2.30)和白蛋白<30g/L(HR 2.65,95%CI:1.30 - 5.40)。与DRI相结合,这些生物标志物显著提高了Harrell's C统计量(不包括生物标志物:C = 0.60,95%CI:0.57 - 0.64;包括生物标志物:C = 0.65,95%CI:0.62 - 0.69,P<0.001)。在SCT前时间点得出了四个预后组:第1组(评分0 - 1,n = 180,HR = 1(参照)),第2组(评分2 - 5,n = 298,HR 2.7,95%CI:1.8 - 3.9),第3组(评分6 - 7,n = 87,HR 4.5,95%CI:3.0 - 6.9)和第4组(评分8 - 10,n = 9,HR 13.4,95%CI:5.9 - 30.2)。这些预后模型也可预测复发和NRM,并且在SCT后100天、12个月和24个月时仍然有效。