Sorasio Roberto, Bonferroni Margherita, Grasso Mariella, Strola Giuliana, Rapezzi Davide, Marenchino Dario, Di Marco Cristina, Castellino Claudia, Mattei Daniele, Mordini Nicola, Fiore Francesca, Celeghini Ivana, Borra Anna, Ghiglia Annalisa, Gallamini Andrea
Division of Haematology, Santa Croce e Carle Hospital, Cuneo, Italy.
Division of Haematology, Santa Croce e Carle Hospital, Cuneo, Italy.
Biol Blood Marrow Transplant. 2014 May;20(5):717-23. doi: 10.1016/j.bbmt.2014.02.002. Epub 2014 Feb 11.
Several algorithms for early prediction of poor-mobilizing patients after chemotherapy and granulocyte colony-stimulating factor administration have been proposed. They generally define peripheral blood cut-off levels of CD34+ cells at a fixed day after starting chemotherapy, mostly with cyclophosphamide. To define an algorithm for early addition of plerixafor regardless of the chemotherapy regimen used, we retrospectively analyzed 280 chemomobilization attempts in 236 patients treated at our institution between 2002 and 2012. In multivariate analysis, CD34+ absolute count and CD34+ percentage upon total leukocyte count at day 1 (defined as the first day in which leukocytes reached a value > 1 × 10(9)/L) were the only factors able to predict a total harvest ≥ 2 × 10(6) CD34+/kg. In patients with day 1 CD34+ lower than 20/μL, the CD34+ percentage was a more reliable predictor of stem cell harvest in the following days than CD34+ absolute count. Upon definition of the best CD34+ cut-off value for identification of poor-mobilizing patients, an algorithm was set up to guide plerixafor administration. It was prospectively validated in 20 patients in 2013 with encouraging results in terms of low incidences of both mobilization failure and plerixafor use. Large prospective trials that define the most cost-effective strategy for just-in-time rescue plerixafor are warranted.
已经提出了几种用于化疗和粒细胞集落刺激因子给药后早期预测动员不佳患者的算法。它们通常在开始化疗后的固定日期定义CD34+细胞的外周血临界水平,大多使用环磷酰胺。为了定义一种无论使用何种化疗方案都能早期添加普乐沙福的算法,我们回顾性分析了2002年至2012年在我们机构接受治疗的236例患者的280次化疗动员尝试。在多变量分析中,第1天(定义为白细胞达到>1×10⁹/L值的第一天)的CD34+绝对计数和CD34+占总白细胞计数的百分比是仅有的能够预测总收获量≥2×10⁶ CD34⁺/kg的因素。在第1天CD34+低于20/μL的患者中,在接下来的几天里,CD34+百分比比CD34+绝对计数是干细胞收获更可靠的预测指标。在确定用于识别动员不佳患者的最佳CD34+临界值后,建立了一种算法来指导普乐沙福的给药。2013年在20例患者中进行了前瞻性验证,在动员失败和普乐沙福使用的低发生率方面取得了令人鼓舞的结果。有必要进行大型前瞻性试验来确定适时救援普乐沙福的最具成本效益的策略。