Literature DB >> 8769702

Analysis and validation of prognostic factors for CML. German CML Study Group.

J Hasford1, H Ansari, M Pfirrmann, R Hehlmann.   

Abstract

The analysis and validation of prognostic factors is a decisive prerequisite with regard to the development and application of risk-adjusted therapies. Among others, the Sokal index 1 and Kantarjian's new staging system 2 were scores set up to assess the survival of every patient individually. By means of 504 Ph- and/or bcr-abl-positive patients of the German CML study I, we tried to validate both scores mentioned above. Whereas Kantarjian's staging system provided rather unsatisfactory results, the discrimination of different risk groups was more promising with respect to the Sokal index. Still, concerning the differentiation between risk groups for the interferon-alpha (IFN-alpha) treated patients of the German study I, the Sokal index also failed. Hence, we applied Cox stepwise regression technique and identified three prognostic factors for the IFN-alpha treated patients, i.e. eosinophils, erythroblasts (both in peripheral blood), and extramedullary manifestations. We developed our own score and found an encouraging 5-y survival rate of 90% (95% confidence interval (CI) 76-100%) for a certain low-risk group of 41 out of 120 IFN-alpha treated patients. With the need to validate our score and, if possible, not only to confirm the above result but also to identify other particular patient groups, we launched the European Prognostic Factors Project (E.P.F.P.). Within this project, our special interest will be dedicated to patient groups who might also benefit from a bone marrow transplantation.

Entities:  

Mesh:

Year:  1996        PMID: 8769702

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  8 in total

1.  Assessment of bone marrow lymphocytic status during tyrosine kinase inhibitor therapy and its relation to therapy response in chronic myeloid leukaemia.

Authors:  Mohamed El Missiry; Shady Adnan Awad; Hanna L Rajala; Ahmed Al-Samadi; Marja Ekblom; Berit Markevän; Ingbritt Åstrand-Grundström; Maren Wold; Ellen Rabben Svedahl; Birgitte Ravn Juhl; Ole Weis Bjerrum; Inger Haulin; Kimmo Porkka; Ulla Olsson-Strömberg; Henrik Hjorth-Hansen; Satu Mustjoki
Journal:  J Cancer Res Clin Oncol       Date:  2016-01-08       Impact factor: 4.553

2.  Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data.

Authors:  K Y Yeung; T A Gooley; A Zhang; A E Raftery; J P Radich; V G Oehler
Journal:  Bioinformatics       Date:  2012-01-31       Impact factor: 6.937

Review 3.  Management of Elderly Patients with Newly Diagnosed Chronic Myeloid Leukemia in the Accelerated or Blastic Phase.

Authors:  Uday Deotare; Dennis Dong Hwan Kim; Jeffrey H Lipton
Journal:  Drugs Aging       Date:  2016-05       Impact factor: 3.923

4.  Reverse phase protein array profiling reveals distinct proteomic signatures associated with chronic myeloid leukemia progression and with chronic phase in the CD34-positive compartment.

Authors:  Alfonso Quintás-Cardama; Yi Hua Qiu; Sean M Post; Yiqun Zhang; Chad J Creighton; Jorge Cortes; Steven M Kornblau
Journal:  Cancer       Date:  2012-04-19       Impact factor: 6.860

Review 5.  Chronic myeloid leukemia: pathophysiology, diagnostic parameters, and current treatment concepts.

Authors:  Christian Sillaber; Matthias Mayerhofer; Hermine Agis; Verena Sagaster; Christine Mannhalter; Wolfgang R Sperr; Klaus Geissler; Peter Valent
Journal:  Wien Klin Wochenschr       Date:  2003-08-14       Impact factor: 1.704

6.  The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data.

Authors:  Vivian G Oehler; Ka Yee Yeung; Yongjae E Choi; Roger E Bumgarner; Adrian E Raftery; Jerald P Radich
Journal:  Blood       Date:  2009-08-04       Impact factor: 22.113

7.  Prognostic and predictive implications of Sokal, Euro and EUTOS scores in chronic myeloid leukaemia in the imatinib era-experience from a tertiary oncology centre in Southern India.

Authors:  Lakshmaiah Chinnagiriyappa Kuntegowdanahalli; Govind Babu Kanakasetty; Aditi Harsh Thanky; Lokanatha Dasappa; Linu Abraham Jacob; Suresh Babu Mallekavu; Rajeev Krishnappa Lakkavalli; Lokesh N Kadabur; Rudresha Antapura Haleshappa
Journal:  Ecancermedicalscience       Date:  2016-10-06

8.  Early BCR-ABL1 Transcript Decline after 1 Month of Tyrosine Kinase Inhibitor Therapy as an Indicator for Treatment Response in Chronic Myeloid Leukemia.

Authors:  Mohamed El Missiry; Henrik Hjorth-Hansen; Johan Richter; Ulla Olson-Strömberg; Leif Stenke; Kimmo Porkka; Anna Kreutzman; Satu Mustjoki
Journal:  PLoS One       Date:  2017-01-30       Impact factor: 3.240

  8 in total

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