Literature DB >> 3332856

Prognosis in chronic myeloid leukaemia: biology of the disease vs. treatment.

J E Sokal.   

Abstract

CML is best regarded as a benign neoplasm, which regularly transforms into a rapidly fatal malignant one. Survival is determined by the timing of disease transformation. The rate of transformation and death is low initially and increases gradually to a stable annual rate, reached during the third year after diagnosis. This averages 25% per year in large populations of Ph positive patients. Transformation appears to occur randomly; a patient's risk of transformation can be defined, but the time when it will occur cannot be predicted. There is no evidence that conventional antileukaemic therapy changes the risk of transformation; thus, survival is determined principally by the intrinsic biology of the disease. A number of features recorded at the time of diagnosis correlate significantly with survival and can serve as prognostic parameters. Multivariate regression and Cox model analyses can generate hazard ratio formulae which provide quantitative estimates of patients' risk. Several Cox models have been described by different groups, and it is possible that two or more models may describe survival equally well. A four-variable model described by the International CGL Prognosis Study Group in 1984 has recently been tested in a prospective study by the Italian Cooperative Study Group on Chronic Myeloid Leukaemia, and successfully classified patients into three groups with significantly different outcomes. This model produces excellent results in analyses of large patient populations, but is less satisfactory when applied to smaller series. It is likely that current prognostic models can be improved substantially to provide more accurate definition of patient risk over a broader range of hazard ratio values. Such models should prove useful in evaluating therapeutic schedules, selecting patients for investigational or hazardous treatment and making decisions regarding bone marrow transplantation.

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Year:  1987        PMID: 3332856     DOI: 10.1016/s0950-3536(87)80032-x

Source DB:  PubMed          Journal:  Baillieres Clin Haematol        ISSN: 0950-3536


  7 in total

Review 1.  Quantitative modeling of chronic myeloid leukemia: insights from radiobiology.

Authors:  Tomas Radivoyevitch; Lynn Hlatky; Julian Landaw; Rainer K Sachs
Journal:  Blood       Date:  2012-02-21       Impact factor: 22.113

2.  A multicellular basis for the origination of blast crisis in chronic myeloid leukemia.

Authors:  Rainer K Sachs; Kerstin Johnsson; Philip Hahnfeldt; Janet Luo; Allen Chen; Lynn Hlatky
Journal:  Cancer Res       Date:  2011-04-12       Impact factor: 12.701

3.  Histological features of prognostic significance in CML--an immunohistochemical and morphometric study (multivariate regression analysis) on trephine biopsies of the bone marrow.

Authors:  J Thiele; H M Kvasnicka; B R Titius; U Parpert; R Nebel; R Zankovich; D Dienemann; H Stein; V Diehl; R Fischer
Journal:  Ann Hematol       Date:  1993-06       Impact factor: 3.673

4.  First annual report of the Austrian CML registry.

Authors:  Stefan Schmidt; Dominik Wolf; Josef Thaler; Sonja Burgstaller; Wolfgang Linkesch; Andreas Petzer; Michael Fridrik; Alois Lang; Hermine Agis; Peter Valent; Otto Krieger; Alois Walder; Markus Korger; Ernst Schlögl; Tamer Sliwa; Ernst Wöll; Manfred Mitterer; Wolfgang Eisterer; Michael Pober; Günther Gastl
Journal:  Wien Klin Wochenschr       Date:  2010-10-11       Impact factor: 1.704

5.  Comparative Study of Clinico-hematological Features, Molecular Spectrum and Response to Imatinib in Chronic Myelogenous Leukemia Patients: Pediatric and Adolescent Versus Adults.

Authors:  Anita Tahlan; Neelam Varma; Shano Naseem; Deepak Bansal; Jogeshwar Binota; Anil Sood; Man Updesh Singh Sachdeva; Pankaj Malhotra; Subhash Varma
Journal:  Indian J Hematol Blood Transfus       Date:  2017-05-09       Impact factor: 0.900

Review 6.  Chronic myelogenous leukemia: elements of conventional chemotherapy and an overview of autografting in the treatment of the chronic phase.

Authors:  Vito Michele Lauta
Journal:  Med Oncol       Date:  2003       Impact factor: 3.064

7.  Differential prognostic impact of stratified additional chromosome abnormalities on disease progression among Malaysian chronic myeloid leukemia patients undergoing treatment with imatinib mesylate.

Authors:  Ismail Siti Mariam; Ramli Norhidayah; Abu Bakar Zulaikha; Mohd Yunus Nazihah; Hassan Rosline; Ghazali Anis Kausar; Sulong Sarina; Husin Azlan; Ravindran Ankathil
Journal:  Front Oncol       Date:  2022-08-08       Impact factor: 5.738

  7 in total

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