Literature DB >> 26104974

Absence of leukaemic CD34+ cells in acute myeloid leukaemia is of high prognostic value: a longstanding controversy deciphered.

Wendelien Zeijlemaker1, Angèle Kelder1, Rolf Wouters1,2, Peter J M Valk3, Birgit I Witte4, Jacqueline Cloos1,2, Gert J Ossenkoppele1, Gerrit J Schuurhuis1.   

Abstract

Primary resistance and relapses after initial successful treatment are common in acute myeloid leukaemia and therefore outcome remains poor. More accurate risk group stratification and effective personalized risk adapted treatment are necessary to improve outcome. In the last two decades, controversial results have been published concerning the prognostic relevance of CD34 expression. In this study of 706 acute myeloid leukaemia patients, we established a new flow cytometric-based CD34-definition, without use of cut-off values. We discriminated CD34-positive (n = 548) and CD34-negative (n = 158) patients by the presence or absence of neoplastic CD34+ cells, respectively. CD34-status was defined using aberrant immunophenotypes and validated using molecular phenotypes. This new definition of CD34 enables strong prediction of treatment outcome in the entire patient group and in several risk subgroups. Previously observed discrepancies in prognostic impact of CD34 protein expression using cut-offs (5-20%) can now entirely be explained by considering the number of CD34-negative cases. In the total patient group, the absence of neoplastic CD34-positive cells is paralleled by low levels of minimal residual disease, suggesting relative therapy sensitivity and explaining longer survival. Overall, we present CD34 surface expression as a relatively simple, powerful and independent predictor of clinical outcome, now warranting incorporation in acute myeloid leukaemia risk stratification.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  CD34; acute myeloid leukaemia; flow cytometry; minimal residual disease; prognosis

Year:  2015        PMID: 26104974     DOI: 10.1111/bjh.13572

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  17 in total

1.  A simple one-tube assay for immunophenotypical quantification of leukemic stem cells in acute myeloid leukemia.

Authors:  W Zeijlemaker; A Kelder; Y J M Oussoren-Brockhoff; W J Scholten; A N Snel; D Veldhuizen; J Cloos; G J Ossenkoppele; G J Schuurhuis
Journal:  Leukemia       Date:  2015-09-16       Impact factor: 11.528

Review 2.  Leukemic stem cells: identification and clinical application.

Authors:  Diana Hanekamp; Jacqueline Cloos; Gerrit Jan Schuurhuis
Journal:  Int J Hematol       Date:  2017-03-29       Impact factor: 2.490

3.  The influence of mutational status and biological characteristics of acute myeloid leukemia on xenotransplantation outcomes in NOD SCID gamma mice.

Authors:  Martin Culen; Zdenka Kosarova; Ivana Jeziskova; Adam Folta; Jana Chovancova; Tomas Loja; Nikola Tom; Vojtech Bystry; Veronika Janeckova; Dana Dvorakova; Jiri Mayer; Zdenek Racil
Journal:  J Cancer Res Clin Oncol       Date:  2018-05-02       Impact factor: 4.553

Review 4.  Translating leukemia stem cells into the clinical setting: Harmonizing the heterogeneity.

Authors:  Breann Yanagisawa; Gabriel Ghiaur; B Douglas Smith; Richard J Jones
Journal:  Exp Hematol       Date:  2016-09-28       Impact factor: 3.084

5.  Association of acute myeloid leukemia's most immature phenotype with risk groups and outcomes.

Authors:  Jonathan M Gerber; Joshua F Zeidner; Sarah Morse; Amanda L Blackford; Brandy Perkins; Breann Yanagisawa; Hao Zhang; Laura Morsberger; Judith Karp; Yi Ning; Christopher D Gocke; Gary L Rosner; B Douglas Smith; Richard J Jones
Journal:  Haematologica       Date:  2016-01-27       Impact factor: 9.941

6.  Immunophenotypic Detection of Measurable Residual (Stem Cell) Disease Using LAIP Approach in Acute Myeloid Leukemia.

Authors:  Wendelien Zeijlemaker; Angele Kelder; Jacqueline Cloos; Gerrit Jan Schuurhuis
Journal:  Curr Protoc Cytom       Date:  2019-12

7.  AML/Normal Progenitor Balance Instead of Total Tumor Load (MRD) Accounts for Prognostic Impact of Flowcytometric Residual Disease in AML.

Authors:  Diana Hanekamp; Jesse M Tettero; Gert J Ossenkoppele; Angèle Kelder; Jacqueline Cloos; Gerrit Jan Schuurhuis
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

8.  The correlation of next-generation sequencing-based genotypic profiles with clinicopathologic characteristics in NPM1-mutated acute myeloid leukemia.

Authors:  Biao Wang; Xuan Liu; Bin Yang; Wei Wu; Haiqian Li
Journal:  BMC Cancer       Date:  2021-07-08       Impact factor: 4.430

9.  Phenotype in combination with genotype improves outcome prediction in acute myeloid leukemia: a report from Children's Oncology Group protocol AAML0531.

Authors:  Andrew P Voigt; Lisa Eidenschink Brodersen; Todd A Alonzo; Robert B Gerbing; Andrew J Menssen; Elisabeth R Wilson; Samir Kahwash; Susana C Raimondi; Betsy A Hirsch; Alan S Gamis; Soheil Meshinchi; Denise A Wells; Michael R Loken
Journal:  Haematologica       Date:  2017-09-07       Impact factor: 9.941

10.  Targeting chemotherapy-resistant leukemia by combining DNT cellular therapy with conventional chemotherapy.

Authors:  Branson Chen; Jong Bok Lee; Hyeonjeong Kang; Mark D Minden; Li Zhang
Journal:  J Exp Clin Cancer Res       Date:  2018-04-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.