[Tailored management of chronic myeloid leukemia].
State of the art management of chronic myeloid leukemia (CML) patients with the selection of best available treatment options requires systematic cytogenetic and molecular monitoring. The choice of the first-line tyrosine kinase inhibitor depends on integration of comorbidities and individual treatment goals. Clinical prognostic scores should be used for cohort comparison and for stratification in randomized trials. Their relevance for individual treatment decisions has not yet been established. Essential for therapeutic decision-making is the achievement of predefined cytogenetic and molecular milestones in the course of the disease. In cases of treatment resistance or relapse the analysis of potential causes is required. After exclusion of compliance issues bone marrow analysis for the accurate characterization of the hematologic disease state and exclusion of clonal evolution is recommended. In parallel, BCR-ABL mutation analysis should be performed. The choice of second-line treatment depends on the predicted sensitivity of any BCR-ABL mutation detected and the clinical history of the patient. Most important is prevention of disease progression as treatment results in advanced disease are still not satisfying. Therefore, allogeneic stem cell transplantation should be considered early in resistant disease, when high-risk parameters (e.g. multiresistant mutations) have been detected.
Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Erlanger Allee 101, 07740, Jena. andreas.hochhaus@med.uni-jena.de
A
A
Hochhaus
P
P
La Rosée
D005819:Genetic Markers / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods*; D015316:Genetic Therapy / Q000639:trends*; D006801:Humans; D015464:Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Q000175:diagnosis / Q000235:genetics / Q000628:therapy; D058990:Molecular Targeted Therapy / Q000639:trends*; D057285:Precision Medicine / Q000379:methods*; D033581:Stem Cell Transplantation / Q000639:trends*
D005819:Genetic Markers