Literature DB >> 14649479

Prognostic factors in childhood acute lymphoblastic leukemia.

Martin Schrappe1.   

Abstract

Approximately 80% of children and adolsecents with acute lymphoblastic leukemia (ALL) can be cured. To reduce the rate of relapses, but also to limit treatment toxicity, risk-adapted treatment has been attempted after identifying the most specific prognostic factors. In addition to clinical factors such as age and WBC, or factors of the leukemic cell such as the immunphenotype and the cytogenetics, the in vivo response to therapy has evolved as the most important predictor for relapse. The lack of specificity of most prognostic factors stimulated the search for more relevant parameters. Detection of residual disease at defined timepoints by cytomorphology can provide specific prognostic information, which allows to define new risk groups. Detection of minimal residual disease (MRD) by identifying clone-specific T-cell receptor- (TCR) or immunglobuline (Ig) gene rearrangements is currently being evaluated to extend this approach of testing the individual's sucsceptibility to therapy. The high sensitivity of the method when indicating fast clearance of leukemia might eventually spare some patients of inadequately toxic therapy. Persistent disease is an indication for treatment modification and intensification. If standardized tools are used for treatment response evaluation, logistics and quality controls are demanding but essential for the reliable conduct of such clinical studies.

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Year:  2003        PMID: 14649479     DOI: 10.1007/bf02723806

Source DB:  PubMed          Journal:  Indian J Pediatr        ISSN: 0019-5456            Impact factor:   1.967


  42 in total

1.  Intensive ALL-type therapy without local radiotherapy provides a 90% event-free survival for children with T-cell lymphoblastic lymphoma: a BFM group report.

Authors:  A Reiter; M Schrappe; W D Ludwig; M Tiemann; R Parwaresch; M Zimmermann; E Schirg; G Henze; G Schellong; H Gadner; H Riehm
Journal:  Blood       Date:  2000-01-15       Impact factor: 22.113

2.  Prednisone response is the strongest predictor of treatment outcome in infant acute lymphoblastic leukemia.

Authors:  M Dördelmann; A Reiter; A Borkhardt; W D Ludwig; N Götz; S Viehmann; H Gadner; H Riehm; M Schrappe
Journal:  Blood       Date:  1999-08-15       Impact factor: 22.113

3.  Immunological detection of minimal residual disease in children with acute lymphoblastic leukaemia.

Authors:  E Coustan-Smith; F G Behm; J Sanchez; J M Boyett; M L Hancock; S C Raimondi; J E Rubnitz; G K Rivera; J T Sandlund; C H Pui; D Campana
Journal:  Lancet       Date:  1998-02-21       Impact factor: 79.321

4.  Early response to therapy and outcome in childhood acute lymphoblastic leukemia: a review.

Authors:  P S Gaynon; A A Desai; B C Bostrom; R J Hutchinson; B J Lange; J B Nachman; G H Reaman; H N Sather; P G Steinherz; M E Trigg; D G Tubergen; F M Uckun
Journal:  Cancer       Date:  1997-11-01       Impact factor: 6.860

5.  Molecular detection of minimal residual disease is a strong predictive factor of relapse in childhood B-lineage acute lymphoblastic leukemia with medium risk features. A case control study of the International BFM study group.

Authors:  A Biondi; M G Valsecchi; T Seriu; E D'Aniello; M J Willemse; K Fasching; A Pannunzio; H Gadner; M Schrappe; W A Kamps; C R Bartram; J J van Dongen; E R Panzer-Grümayer
Journal:  Leukemia       Date:  2000-11       Impact factor: 11.528

Review 6.  More is better! Update of Dana-Farber Cancer Institute/Children's Hospital childhood acute lymphoblastic leukemia trials.

Authors:  S E Sallan; R D Gelber; V Kimball; M Donnelly; H J Cohen
Journal:  Haematol Blood Transfus       Date:  1990

7.  Prognostic significance and modalities of flow cytometric minimal residual disease detection in childhood acute lymphoblastic leukemia.

Authors:  Michael N Dworzak; Gertraud Fröschl; Dieter Printz; Georg Mann; Ulrike Pötschger; Nora Mühlegger; Gerhard Fritsch; Helmut Gadner
Journal:  Blood       Date:  2002-03-15       Impact factor: 22.113

8.  Treatment of childhood acute lymphoblastic leukemia: results of Dana-Farber Cancer Institute/Children's Hospital Acute Lymphoblastic Leukemia Consortium Protocol 85-01.

Authors:  M A Schorin; S Blattner; R D Gelber; N J Tarbell; M Donnelly; V Dalton; H J Cohen; S E Sallan
Journal:  J Clin Oncol       Date:  1994-04       Impact factor: 44.544

9.  Augmented post-induction therapy for children with high-risk acute lymphoblastic leukemia and a slow response to initial therapy.

Authors:  J B Nachman; H N Sather; M G Sensel; M E Trigg; J M Cherlow; J N Lukens; L Wolff; F M Uckun; P S Gaynon
Journal:  N Engl J Med       Date:  1998-06-04       Impact factor: 91.245

10.  Improved outcome with delayed intensification for children with acute lymphoblastic leukemia and intermediate presenting features: a Childrens Cancer Group phase III trial.

Authors:  D G Tubergen; G S Gilchrist; R T O'Brien; P F Coccia; H N Sather; M J Waskerwitz; G D Hammond
Journal:  J Clin Oncol       Date:  1993-03       Impact factor: 44.544

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  4 in total

1.  Early chemosensitivity of normal hematopoietic cells and malignant lymphoblasts predicts relapse in childhood acute lymphoblastic leukemia.

Authors:  Tamer H Hassan
Journal:  Oncol Lett       Date:  2010-11-08       Impact factor: 2.967

2.  Overt testicular disease at diagnosis in childhood acute lymphoblastic leukemia: prognostic significance and role of testicular irradiation.

Authors:  R K Marwaha; K P Kulkarni; D Bansal; A Trehan
Journal:  Indian J Pediatr       Date:  2010-06-29       Impact factor: 1.967

3.  Analysis of outcomes and prognostic factors of acute lymphoblastic leukemia patients treated by MCP841 protocol: A regional cancer center experience.

Authors:  Akhil Kapoor; Ashok Kalwar; Narender Kumar; Mukesh Kumar Singhal; Surender Beniwal; Harvindra Singh Kumar
Journal:  J Res Med Sci       Date:  2016-03-15       Impact factor: 1.852

4.  Poincaré Maps and Aperiodic Oscillations in Leukemic Cell Proliferation Reveal Chaotic Dynamics.

Authors:  Konstantinos Adamopoulos; Dimitis Koutsouris; Apostolos Zaravinos; George I Lambrou
Journal:  Cells       Date:  2021-12-19       Impact factor: 6.600

  4 in total

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