Cytometry Service (NUCLEUS), Department of Medicine, IBSAL and CIBERONC, Cancer Research Center (IBMCC, University of Salamanca-CSIC), Salamanca, Spain.
Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
Mod Pathol. 2018 Aug;31(8):1318-1331. doi: 10.1038/s41379-018-0038-2. Epub 2018 Mar 23.
Severe hemorrhagic events occur in a significant fraction of acute promyelocytic leukemia patients, either at presentation and/or early after starting therapy, leading to treatment failure and early deaths. However, identification of independent predictors for high-risk of severe bleeding at diagnosis, remains a challenge. Here, we investigated the immunophenotype of bone marrow leukemic cells from 109 newly diagnosed acute promyelocytic leukemia patients, particularly focusing on the identification of basophil-related features, and their potential association with severe bleeding episodes and patient overall survival.From all phenotypes investigated on leukemic cells, expression of the CD203c and/or CD22 basophil-associated markers showed the strongest association with the occurrence and severity of bleeding (p ≤ 0.007); moreover, aberrant expression of CD7, coexpression of CD34/CD7 and lack of CD71 was also more frequently found among patients with (mild and severe) bleeding at baseline and/or after starting treatment (p ≤ 0.009). Multivariate analysis showed that CD203c expression (hazard ratio: 26.4; p = 0.003) and older age (hazard ratio: 5.4; p = 0.03) were the best independent predictors for cumulative incidence of severe bleeding after starting therapy. In addition, CD203c expression on leukemic cells (hazard ratio: 4.4; p = 0.01), low fibrinogen levels (hazard ratio: 8.8; p = 0.001), older age (hazard ratio: 9.0; p = 0.002), and high leukocyte count (hazard ratio: 5.6; p = 0.02) were the most informative independent predictors for overall survival.In summary, our results show that the presence of basophil-associated phenotypic characteristics on leukemic cells from acute promyelocytic leukemia patients at diagnosis is a powerful independent predictor for severe bleeding and overall survival, which might contribute in the future to (early) risk-adapted therapy decisions.
严重出血事件发生在很大一部分急性早幼粒细胞白血病患者中,无论是在发病时还是在开始治疗后早期,导致治疗失败和早期死亡。然而,确定诊断时发生严重出血高风险的独立预测因子仍然是一个挑战。在这里,我们研究了 109 例新诊断的急性早幼粒细胞白血病患者骨髓白血病细胞的免疫表型,特别是侧重于确定嗜碱性粒细胞相关特征,及其与严重出血事件和患者总生存的潜在关联。在研究的所有白血病细胞表型中,CD203c 和/或 CD22 嗜碱性粒细胞相关标记物的表达与出血的发生和严重程度具有最强的关联(p≤0.007);此外,在基线和/或开始治疗后出现(轻度和重度)出血的患者中,CD7 的异常表达、CD34/CD7 的共表达和 CD71 的缺失更为常见(p≤0.009)。多变量分析显示,CD203c 表达(危险比:26.4;p=0.003)和年龄较大(危险比:5.4;p=0.03)是治疗开始后严重出血累积发生率的最佳独立预测因子。此外,白血病细胞上的 CD203c 表达(危险比:4.4;p=0.01)、低纤维蛋白原水平(危险比:8.8;p=0.001)、年龄较大(危险比:9.0;p=0.002)和白细胞计数较高(危险比:5.6;p=0.02)是总生存的最具信息量的独立预测因子。总之,我们的研究结果表明,急性早幼粒细胞白血病患者白血病细胞上存在嗜碱性粒细胞相关表型特征是严重出血和总生存的有力独立预测因子,这可能有助于未来(早期)进行风险适应治疗决策。