Kvasnicka H M, Thiele J, Schmitt-Graeff A, Diehl V, Zankovich R, Niederle N, Leder L D, Schaefer H E
Institute of Pathology, University of Cologne, Joseph-Stelzmann-Str. 9, D-50924 Cologne, Germany.
Br J Haematol. 2001 Mar;112(3):727-39. doi: 10.1046/j.1365-2141.2001.02555.x.
A multicentre clinicopathological study was performed on 495 patients with chronic-phase Ph1+ chronic myelogenous leukaemia (CML) to determine bone marrow characteristics that exert a significant impact on survival under standard treatment regimens. Immunohistochemical and morphometric techniques were applied to identify nucleated erythroid precursor cells in the bone marrow and to quantify argyrophilic fibre density. Application of the Sokal index and another recently proposed CML score failed to distinguish three clearly defined risk groups. A borderline increase in fibre content (i.e. doubling of the normal density) and a relevant reduction of medullary erythropoiesis proved to be important predictors for survival, even in low-risk classified patients, according to both clinical scores. With regard to optimal treatment strategies, patients with manifest myelofibrosis showed no significant difference in survival rates under interferon or hydroxyurea treatment. Multivariate analysis confirmed the prognostic value of histological features. A risk model based on three variables (fibre density, erythropoietic precursors and spleen size) was constructed that enabled a distinct discrimination of risk profiles. In conclusion, the presented data provide compelling evidence that bone marrow features at diagnosis exert a significant impact on prognosis in CML. In this context, the generally clinical-based multivariate risk classification can be improved by consideration of morphological variables that are acting independently of treatment modalities.
对495例慢性期Ph1+慢性粒细胞白血病(CML)患者进行了一项多中心临床病理研究,以确定在标准治疗方案下对生存有显著影响的骨髓特征。应用免疫组织化学和形态计量学技术来识别骨髓中有核红细胞前体细胞并量化嗜银纤维密度。应用索卡尔指数和另一种最近提出的CML评分未能区分出三个明确界定的风险组。纤维含量的临界增加(即正常密度加倍)和骨髓红细胞生成的相关减少被证明是生存的重要预测因素,即使根据两种临床评分属于低风险分类的患者也是如此。关于最佳治疗策略,明显骨髓纤维化的患者在干扰素或羟基脲治疗下生存率无显著差异。多变量分析证实了组织学特征的预后价值。构建了一个基于三个变量(纤维密度、红细胞生成前体细胞和脾脏大小)的风险模型,该模型能够明确区分风险特征。总之,所呈现的数据提供了令人信服的证据,表明诊断时的骨髓特征对CML的预后有显著影响。在这种情况下,通过考虑独立于治疗方式的形态学变量,可以改进通常基于临床的多变量风险分类。