Department I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Department of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN;
Blood. 2014 Jul 3;124(1):49-62. doi: 10.1182/blood-2014-02-556399. Epub 2014 May 5.
In addition to clinical staging, a number of biomarkers predicting overall survival (OS) have been identified in chronic lymphocytic leukemia (CLL). The multiplicity of markers, limited information on their independent prognostic value, and a lack of understanding of how to interpret discordant markers are major barriers to use in routine clinical practice. We therefore performed an analysis of 23 prognostic markers based on prospectively collected data from 1948 CLL patients participating in phase 3 trials of the German CLL Study Group to develop a comprehensive prognostic index. A multivariable Cox regression model identified 8 independent predictors of OS: sex, age, ECOG status, del(17p), del(11q), IGHV mutation status, serum β2-microglobulin, and serum thymidine kinase. Using a weighted grading system, a prognostic index was derived that separated 4 risk categories with 5-year OS ranging from 18.7% to 95.2% and having a C-statistic of 0.75. The index stratified OS within all analyzed subgroups, including all Rai/Binet stages. The validity of the index was externally confirmed in a series of 676 newly diagnosed CLL patients from Mayo Clinic. Using this multistep process including external validation, we developed a comprehensive prognostic index with high discriminatory power and prognostic significance on the individual patient level. The studies were registered as follows: CLL1 trial (NCT00262782, http://clinicaltrials.gov), CLL4 trial (ISRCTN 75653261, http://www.controlled-trials.com), and CLL8 trial (NCT00281918, http://clinicaltrials.gov).
除了临床分期外,在慢性淋巴细胞白血病(CLL)中还确定了许多预测总生存期(OS)的生物标志物。标记物的多样性、关于其独立预后价值的信息有限,以及对如何解释不一致的标记物缺乏了解,这些都是在常规临床实践中应用的主要障碍。因此,我们对 1948 例参与德国 CLL 研究组 3 期临床试验的 CLL 患者前瞻性收集的数据进行了 23 种预后标志物的分析,以制定综合预后指数。多变量 Cox 回归模型确定了 OS 的 8 个独立预测因素:性别、年龄、ECOG 状态、del(17p)、del(11q)、IGHV 突变状态、血清β2-微球蛋白和血清胸苷激酶。使用加权分级系统,得出了一个预后指数,将 4 个风险类别分开,5 年 OS 从 18.7%到 95.2%不等,C 统计量为 0.75。该指数在所有分析的亚组中分层了 OS,包括所有 Rai/Binet 分期。该指数的有效性在梅奥诊所的 676 例新诊断 CLL 患者系列中得到了外部验证。通过包括外部验证在内的多步骤过程,我们开发了一个具有高判别能力和个体患者预后意义的综合预后指数。这些研究的注册情况如下:CLL1 试验(NCT00262782,http://clinicaltrials.gov)、CLL4 试验(ISRCTN75653261,http://www.controlled-trials.com)和 CLL8 试验(NCT00281918,http://clinicaltrials.gov)。