Literature DB >> 23700065

Lineage classification of childhood acute lymphoblastic leukemia according to the EGIL recommendations: results of the ALL-BFM 2000 trial.

R Ratei1, R Schabath, L Karawajew, M Zimmermann, A Möricke, M Schrappe, W-D Ludwig.   

Abstract

BACKGROUND: Flow cytometry immunophenotyping (FCM) is an undispensable tool for the diagnosis and for the treatment stratification of childhood acute lymphoblastic leukemia. The correlation of the EGIL-classification with prognostically relevant parameters like age, prednisone response and risk group is analyzed. PATIENTS: Between March 2000 and June 2009 12 patients less than 1 year of age, 1 836 patients with 1 to less than 6 years, 620 patients with 6 to less than 10 years, 615 patients with 10 to less than 15 years and 275 patients with 15 to less than 19 years were analyzed with a comprehensive 4-color antibody panel and classified according to the EGIL recommendations.
METHODS: Bone marrow or peripheral blood mononuclear cells were isolated by ficoll gradient centrifugation, washed and stained with fluorochrome-conjugated antigen-specific monoclonal antibodies. Cell preparations were acquired and analyzed on a flow cytometer.
RESULTS: Centralized FCM was performed for 2 775 patients (82.6%) with B-cell precursor acute lymphoblastic leukemia, 493 patients (14.7%) with T-cell acute lymphoblastic leukemia and 90 patients (2,7%) with biphenotypic acute leukemia. There was a slight overall predominance of male (56.1%) over female (43.9%) patients. Patients with B-cell precursor ALL had a slightly more favourable outcome with a 10 y pEFS of 78 ± 1.0%, compared to patients with a T-ALL or BAL (biphenotypic acute leukemia) phenotype with a 10 y pEFS of 74 ± 1.8% (n.s.) or 69 ± 9.0% (p<0.009), respectively.
CONCLUSIONS: FCM according to the EGIL recommendations not only provides diagnostic lineage determination and subclassification but also enables an initial prognostic orientation before MRD (minimal residual disease)-based risk stratification becomes available. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2013        PMID: 23700065     DOI: 10.1055/s-0033-1337961

Source DB:  PubMed          Journal:  Klin Padiatr        ISSN: 0300-8630            Impact factor:   1.349


  6 in total

1.  NOTCH1 mutation, TP53 alteration and myeloid antigen expression predict outcome heterogeneity in children with first relapse of T-cell acute lymphoblastic leukemia.

Authors:  Jana Hof; Corinne Kox; Stefanie Groeneveld-Krentz; Obul R Bandapalli; Leonid Karawajew; Katharina Schedel; Joachim B Kunz; Cornelia Eckert; Wolf-Dieter Ludwig; Richard Ratei; Peter Rhein; Günter Henze; Martina U Muckenthaler; Andreas E Kulozik; Arend von Stackelberg; Renate Kirschner-Schwabe
Journal:  Haematologica       Date:  2017-03-30       Impact factor: 9.941

2.  Early T-cell precursor acute lymphoblastic leukemia and other subtypes: a retrospective case report from a single pediatric center in China.

Authors:  Xiaoming Liu; Yao Zou; Li Zhang; Xiaojuan Chen; Wenyu Yang; Ye Guo; Yumei Chen; Yingchi Zhang; Xiaofan Zhu
Journal:  J Cancer Res Clin Oncol       Date:  2021-03-02       Impact factor: 4.553

3.  Role of BAALC Gene in Prognosis of Acute Lymphoblastic Leukemia in Egyptian Children.

Authors:  Adel A Hagag; Walid A Elshehaby; Nahd M Hablas; Mohamed M Abdelmageed; Amal Ezzat Abd El-Lateef
Journal:  Indian J Hematol Blood Transfus       Date:  2017-06-23       Impact factor: 0.900

4.  High CD45 surface expression determines relapse risk in children with precursor B-cell and T-cell acute lymphoblastic leukemia treated according to the ALL-BFM 2000 protocol.

Authors:  Gunnar Cario; Peter Rhein; Rita Mitlöhner; Martin Zimmermann; Obul R Bandapalli; Renja Romey; Anja Moericke; Wolf-Dieter Ludwig; Richard Ratei; Martina U Muckenthaler; Andreas E Kulozik; Martin Schrappe; Martin Stanulla; Leonid Karawajew
Journal:  Haematologica       Date:  2013-08-02       Impact factor: 9.941

5.  DPYD gene polymorphisms are associated with risk and chemotherapy prognosis in pediatric patients with acute lymphoblastic leukemia.

Authors:  Xiao-Qiang Zhao; Wei-Jie Cao; Hai-Ping Yang; Xue-Wen Yang; Ping Tang; Ling Sun; Xing Gao
Journal:  Tumour Biol       Date:  2016-02-04

6.  Genomics and drug profiling of fatal TCF3-HLF-positive acute lymphoblastic leukemia identifies recurrent mutation patterns and therapeutic options.

Authors:  Ute Fischer; Michael Forster; Anna Rinaldi; Thomas Risch; Stéphanie Sungalee; Hans-Jörg Warnatz; Beat Bornhauser; Michael Gombert; Christina Kratsch; Adrian M Stütz; Marc Sultan; Joelle Tchinda; Catherine L Worth; Vyacheslav Amstislavskiy; Nandini Badarinarayan; André Baruchel; Thies Bartram; Giuseppe Basso; Cengiz Canpolat; Gunnar Cario; Hélène Cavé; Dardane Dakaj; Mauro Delorenzi; Maria Pamela Dobay; Cornelia Eckert; Eva Ellinghaus; Sabrina Eugster; Viktoras Frismantas; Sebastian Ginzel; Oskar A Haas; Olaf Heidenreich; Georg Hemmrich-Stanisak; Kebria Hezaveh; Jessica I Höll; Sabine Hornhardt; Peter Husemann; Priyadarshini Kachroo; Christian P Kratz; Geertruy Te Kronnie; Blerim Marovca; Felix Niggli; Alice C McHardy; Anthony V Moorman; Renate Panzer-Grümayer; Britt S Petersen; Benjamin Raeder; Meryem Ralser; Philip Rosenstiel; Daniel Schäfer; Martin Schrappe; Stefan Schreiber; Moritz Schütte; Björn Stade; Ralf Thiele; Nicolas von der Weid; Ajay Vora; Marketa Zaliova; Langhui Zhang; Thomas Zichner; Martin Zimmermann; Hans Lehrach; Arndt Borkhardt; Jean-Pierre Bourquin; Andre Franke; Jan O Korbel; Martin Stanulla; Marie-Laure Yaspo
Journal:  Nat Genet       Date:  2015-07-27       Impact factor: 38.330

  6 in total

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