title: Multivariate analyses of prognostic factors in acute myeloid leukemia: relevance of cytogenetic abnormalities and CD34 expression.
abstract: Identification of additional prognostic factors besides karyotype is important for the improvement of the risk adapted treatment strategies in acute myeloid leukemia (AML). The aim of this study was to investigate whether other factors besides karyotype could be used as a prognostic tool in newly diagnosed AML. Biological and disease related established and potential prognostic factors were retrospectively analysed in 124 consecutive AML patients treated between 1993 and 2002 at the University hospital Rostock (Germany). One hundred patients received a potential curative intensive chemotherapy (81%), of whom 28 received an allogeneic HSCT at some point of their treatment course, 17 patients (14%) received palliative therapies and 7 patients (5%) received supportive care only. In patients that received potential curative therapies LDH >or=2000 U/l, WBC >50 GPT/l, CD34 surface expression on the AML blasts, secondary AML, unfavorable karyotype and no allogeneic HSCT at some point of treatment course were associated with unfavorable prognosis. However, in the multivariate risk factor analyses only unfavorable karyotype (p=0.012), CD34 positivity of AML blasts (p=0.046), no allogeneic HSCT (p=0.008) and first diagnosis after 1997 (p=0.025) were independent unfavourable prognostic factors. In conclusion, karyotype and CD34 expression are independent prognostic markers in newly diagnosed AML. Furthermore, receiving an allogeneic HSCT at some point of the treatment course seems to be of benefit for AML patients.
authors.affiliation: Department of Internal Medicine, Division of Hematology and Oncology, University of Rostock, 18057 Rostock, Germany. christian.junghanss@med.uni-rostock.de
authors.forename: C
authors.initials: C
authors.lastname: Junghanss
authors.forename: M
authors.initials: M
authors.lastname: Waak
authors.forename: A
authors.initials: A
authors.lastname: Knopp
authors.forename: H D
authors.initials: HD
authors.lastname: Kleine
authors.forename: G
authors.initials: G
authors.lastname: Kundt
authors.forename: M
authors.initials: M
authors.lastname: Leithäuser
authors.forename: I
authors.initials: I
authors.lastname: Hilgendorf
authors.forename: D
authors.initials: D
authors.lastname: Wolff
authors.forename: J
authors.initials: J
authors.lastname: Casper
authors.forename: M
authors.initials: M
authors.lastname: Freund
mesh_terms: D000208:Acute Disease / Q000628:therapy; D000328:Adult; D000367:Age Factors; D000368:Aged; D018952:Antigens, CD34 / Q000378:metabolism*; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D014408:Biomarkers, Tumor / Q000032:analysis*; D002869:Chromosome Aberrations; D018572:Disease-Free Survival; D005434:Flow Cytometry; D018380:Hematopoietic Stem Cell Transplantation; D006801:Humans; D007621:Karyotyping; D007951:Leukemia, Myeloid / Q000235:genetics* / Q000401:mortality* / Q000628:therapy; D008875:Middle Aged; D015999:Multivariate Analysis; D010166:Palliative Care; D011379:Prognosis; D012074:Remission Induction; D012189:Retrospective Studies; D012307:Risk Factors; D016019:Survival Analysis; D016896:Treatment Outcome
chemical_list: D018952:Antigens, CD34; D014408:Biomarkers, Tumor