title: Toward a comprehensive prognostic scoring system in chronic lymphocytic leukemia based on a combination of genetic parameters.
abstract: Chronic lymphocytic leukemia (CLL) is a heterogeneous disease with a variable clinical course. The aim of this study was to evaluate whether a combination of genetic parameters can improve prediction of outcome irrespective of clinical stage. The prognostic impact of chromosome banding analysis (CBA) in addition to FISH and IgVH mutation status was evaluated. In total, 482 patients were analyzed, but evaluation of prognostic factors was restricted to 399 untreated cases. The prognostic significance of age, white blood cell (WBC) count, IgVH status, and TP53 and ATM deletions was confirmed. In addition, a prognostic impact of translocations involving the IGH@ locus (t(IgH)) and of a complex aberrant karyotype was found. On the basis of these results, we propose a scoring system for overall survival (OS) based on: age >or=65 years, WBC >or=20 x 10(9)/l, unmutated IgVH status, TP53 deletion, t(IgH), and the number of chromosome aberrations observed with CBA. Three risk groups showed considerable differences in OS (94.5% vs. 64.3% vs. 41.1% surviving at 5 years, P < 0.0001). Time to treatment (TTT) can be predicted best by unmutated IgVH status, ATM deletion, t(IgH), and number of chromosome aberrations. Four distinct subgroups were separated with median TTT of 110.7 months, 39.8 months, 19.5 months, and 3.8 months, respectively (P < 0.0001). In conclusion, cytogenetic data from CBA add prognostic information. The proposed scoring systems for OS and TTT based on a combination of genetic markers improve the separation of prognostic subgroups in CLL already early in the course of the disease.
authors.affiliation: MLL Munich Leukemia Laboratory, Munich, Germany. claudia.haferlach@mll-online.com
authors.forename: Claudia
authors.initials: C
authors.lastname: Haferlach
authors.forename: Frank
authors.initials: F
authors.lastname: Dicker
authors.forename: Tamara
authors.initials: T
authors.lastname: Weiss
authors.forename: Susanne
authors.initials: S
authors.lastname: Schnittger
authors.forename: Christian
authors.initials: C
authors.lastname: Beck
authors.forename: Albert
authors.initials: A
authors.lastname: Grote-Metke
authors.forename: Daniel
authors.initials: D
authors.lastname: Oruzio
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Kern
authors.forename: Torsten
authors.initials: T
authors.lastname: Haferlach
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D064007:Ataxia Telangiectasia Mutated Proteins; D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism*; D018797:Cell Cycle Proteins / Q000235:genetics; D002869:Chromosome Aberrations; D002871:Chromosome Banding; D004268:DNA-Binding Proteins / Q000235:genetics; D005260:Female; D017353:Gene Deletion; D006801:Humans; D007143:Immunoglobulin Heavy Chains / Q000235:genetics; D007135:Immunoglobulin Variable Region / Q000235:genetics; D017404:In Situ Hybridization, Fluorescence; D007621:Karyotyping; D015451:Leukemia, Lymphocytic, Chronic, B-Cell / Q000175:diagnosis / Q000235:genetics* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D009154:Mutation / Q000235:genetics; D011379:Prognosis; D017346:Protein Serine-Threonine Kinases / Q000235:genetics; D015996:Survival Rate; D016159:Tumor Suppressor Protein p53 / Q000235:genetics; D025521:Tumor Suppressor Proteins / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D018797:Cell Cycle Proteins; D004268:DNA-Binding Proteins; D007143:Immunoglobulin Heavy Chains; D007135:Immunoglobulin Variable Region; C495901:TP53 protein, human; D016159:Tumor Suppressor Protein p53; D025521:Tumor Suppressor Proteins; C576324:ATM protein, human; D064007:Ataxia Telangiectasia Mutated Proteins; D017346:Protein Serine-Threonine Kinases