Montalbán Carlos, García Juan F, Abraira Víctor, González-Camacho Leocricia, Morente Manuel M, Bello Jose L, Conde Eulogio, Cruz Miguel A, García-Sanz Ramón, García-Laraña José, Grande Carlos, Llanos Marta, Martínez Rafael, Flores Eduardo, Méndez Miguel, Ponderós Concepción, Rayón Concepción, Sánchez-Godoy Pedro, Zamora Javier, Piris Miguel A
Medicina Interna, Hematología and Unidad de Bioestradistica Clínica, Hospital Ramón y Cajal, Madrid, Spain.
J Clin Oncol. 2004 May 1;22(9):1664-73. doi: 10.1200/JCO.2004.06.105.
Current therapies fail to cure a significant proportion of patients with Hodgkin's lymphoma (HL). Predictive systems for stratification of the disease and selection of treatment based on sets of clinical variables, such as the international prognostic score (IPS), are of relatively small practical value. The predictive use of biologic parameters has so far provided limited and inconsistent results. Here we explore the influence of a set of molecular markers on the outcome of HL.
Forty molecular markers involved in B-cell differentiation and activation, signal transduction, cell cycle, and apoptosis control were analyzed in 259 classic HL patient cases by using tissue microarrays. Univariate analysis was performed to evaluate the influence of markers on favorable outcome (complete remission of > 12 months). Significant variables were included in a multivariate logistic regression analysis, and the probability of favorable outcome was estimated.
Univariate analysis revealed four molecular markers that predicted outcome, and the multivariate analysis showed p53, Bcl-X(L), and terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate-biotin nick-end labeling (TUNEL) to have independent significance. The combination of these factors determined two groups of patients (group I, zero to one factor; group II, two to three factors) with a probability of a favorable outcome of.948 and.687, respectively. A multivariate Cox's model shows that these biologic risk groups have special predictive power in low-IPS patients.
The data from this exploratory study suggest that the accumulation of molecular events seems to influence the outcome of HL, particularly in the low-IPS group.
目前的治疗方法无法治愈相当一部分霍奇金淋巴瘤(HL)患者。基于临床变量集(如国际预后评分(IPS))对该疾病进行分层和选择治疗的预测系统实际价值相对较小。迄今为止,生物学参数的预测应用所提供的结果有限且不一致。在此,我们探讨一组分子标志物对HL预后的影响。
使用组织微阵列对259例经典HL患者病例分析了涉及B细胞分化与激活、信号转导、细胞周期及凋亡控制的40种分子标志物。进行单变量分析以评估标志物对良好预后(完全缓解>12个月)的影响。将显著变量纳入多变量逻辑回归分析,并估计良好预后的概率。
单变量分析揭示了四种预测预后的分子标志物,多变量分析显示p53、Bcl-X(L)和末端脱氧核苷酸转移酶介导的脱氧尿苷三磷酸生物素缺口末端标记(TUNEL)具有独立意义。这些因素的组合确定了两组患者(I组,零至一个因素;II组,两个至三个因素),其良好预后的概率分别为0.948和0.687。多变量Cox模型表明,这些生物学风险组在低IPS患者中具有特殊的预测能力。
这项探索性研究的数据表明,分子事件的积累似乎会影响HL的预后,尤其是在低IPS组中。