Bone Marrow Features Improve Prognostic Efficiency in Multivariate Risk Classification of Chronic-Phase Ph1+ Chronic Myelogenous Leukemia: A Multicenter Trial

Author:

Kvasnicka Hans Michael1,Thiele Juergen1,Schmitt-Graeff Annette1,Diehl Volker1,Zankovich Rudolf1,Niederle Norbert1,Leder Lutz-Dietrich1,Schaefer Hans Eckart1

Affiliation:

1. From the Institutes of Pathology, Universities of Cologne, Freiburg, and Essen; Department of Oncology and Hematology, Klinikum Leverkusen, Leverkusen; and First Clinic of Medicine, University of Cologne, Cologne, Germany.

Abstract

PURPOSE: Multivariate risk classifications for chronic (stable)-phase Ph1+ chronic myelogenous leukemia (CML) are generally focused on hematologic variables, and the putative prognostic property of bone morphology has been neglected or even contested so far. PATIENTS AND METHODS: A total of 510 consecutively recruited patients in first chronic phase Ph1+ CML and pretreatment bone marrow biopsy specimens were entered onto this multicenter observational trial to evaluate the effect of bone marrow histopathology. According to generally accepted criteria, patients with any signs of accelerated disease were excluded. Treatment modalities included administration of interferon alfa-2b (IFN) and chemotherapy with hydroxyurea (HU) or busulfan. Immunohistochemical and morphometric techniques were applied to identify marrow cells and to quantify fiber density. Patients were separated into learning and validation samples, and classification and regression tree (CART) analysis was performed to establish a prognostic decision tree. RESULTS: CART analysis of the validation sample (123 patients with HU therapy) revealed the amount of erythroid precursors in the bone marrow, myelofibrosis, and splenomegaly as the most important prognostic features. Three risk profiles with significantly different survival patterns were established, with median survival times ranging from 33 to 108 months (two-sided log-rank test, P = .0001). The new score was confirmed by application to the learning sample with IFN therapy (two-sided log-rank test, P = .0002). Furthermore, risk status defined by the new score was significantly correlated with the occurrence of blast transformation. CONCLUSION: Our data strongly implicate that prognostic classification of chronic-phase Ph1+ CML can be significantly improved by the inclusion of morphologic parameters. The variables of the presented scoring system may be easily assessed by routinely processed aspirates and bone marrow trephines.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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