Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Key Laboratory of Hematology of Nanjing Medical University, Nanjing, China.
Department of Medicine, Imperial College London, Centre for Haematology, Division of Experimental Medicine, London, UK.
Hematol Oncol. 2018 Oct;36(4):656-662. doi: 10.1002/hon.2520. Epub 2018 Jun 14.
Prognoses of persons with chronic lymphocytic leukemia (CLL) including time-to-therapy (TTT) and survival is heterogeneous. Risk factors and predictive scoring systems are mostly developed in persons of predominately European descent with CLL. Whether these systems accurately predict TTT and survival of Han Chinese with CLL is unknown. We interrogated clinical and laboratory data from 334 newly diagnosed, untreated Chinese CLL without treatment indication upon diagnosis to identify variables associated with TTT and develop a prognostic score. Binet stage, blood lymphocyte level, TP53 abnormality, unmutated IGHV, prior HBV, and EBV infections were independently associated with TTT in multivariate analyses. We constructed a prognostic score dividing subjects into cohorts with low, intermediate, and high risk from diagnosis to TTT. Median TTTs were 139 months (range, 85-189 months), 25 months (12-38 months), and 4 months (1-7 months; P-value for trend <0.001). We identified variables associated with TTT in Chinese with CLL with no treatment indication and developed a predictive model for survival. Some variables associated with TTT are similar to those of persons of predominately European descent, whereas others, such as HBV and/or EBV infections, operate in Chinese and Europeans but are not currently included in prognostic and predictive staging systems in persons of European descent. They should be investigated.
慢性淋巴细胞白血病 (CLL) 患者的预后包括治疗时间 (TTT) 和生存情况具有异质性。风险因素和预测评分系统主要是在以欧洲裔为主的 CLL 患者中开发的。这些系统是否能准确预测汉族 CLL 患者的 TTT 和生存情况尚不清楚。我们对 334 例新诊断的、未经治疗且无治疗指征的中国 CLL 患者的临床和实验室数据进行了分析,以确定与 TTT 相关的变量,并建立一个预后评分系统。多变量分析显示,Binet 分期、血液淋巴细胞水平、TP53 异常、未突变的 IGHV、乙肝病毒(HBV)和 EBV 既往感染与 TTT 独立相关。我们构建了一个预后评分系统,将患者分为从诊断到 TTT 的低危、中危和高危组。中位 TTT 分别为 139 个月(范围为 85-189 个月)、25 个月(12-38 个月)和 4 个月(1-7 个月;趋势 P 值<0.001)。我们确定了无治疗指征的中国 CLL 患者与 TTT 相关的变量,并建立了生存预测模型。一些与 TTT 相关的变量与以欧洲裔为主的人群相似,而其他变量,如 HBV 和/或 EBV 感染,则在中国人群和欧洲人群中起作用,但目前未包含在欧洲裔人群的预后和预测分期系统中。这些因素值得进一步研究。