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Blood, 1 March 2007, Vol. 109, No. 5, pp. 2263.

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CORRESPONDENCE

Optimizing fusion transcript monitoring in CML

To the editor:

The recently published recommendations for the harmonization of methodology for BCR-ABL fusion transcript monitoring in chronic myeloid leukemia (CML) patients responding to treatment with tyrosine kinase inhibitors are timely and pertinent for all laboratories undertaking such testing.1 The authors provide practical guidelines for laboratories to help optimize their testing and reporting procedures in a manner designed to improve assay performance and the generation of reliable quantitative data across different molecular laboratories.

One of the consequences of the current lack of standardization of quantitative BCR-ABL testing relates to the reliability of detection of a rise in the level of fusion transcript that indicates potential disease progression. That threshold level of transcript rise remains contentious, since some have suggested a 2-fold rise in transcript is significant, while others have argued for a 5-fold rise or more.1 In clinical practice, what matters is the trend in polymerase chain reaction (PCR) value and confirmation of an increase in transcript. Certainly, the clinical implications of a confirmation of disease progression, as indicated by a transcript rise, are substantial and include undertaking kinase domain mutation screening, imatinib dose escalation, a switch to an alternative tyrosine kinase inhibitor, or even allogeneic stem cell transplantation.1,2

Accordingly, these clinical consequences underscore the importance of accurate and reliable analysis of BCR-ABL transcript values in these patients. However, the inherent interassay and intra-assay variability can lead to considerable uncertainty in the confirmation of any putative transcript rise. Furthermore, any variability in testing depends upon the level of detection. That is, as the level of fusion transcript declines progressively, and approaches the limit of detection of the assay, so the variability in assay performance rises. In fact, a 2-fold rise (or greater) in transcript that occurs at relatively low transcript levels may well lie within the calculated coefficient of variation (CV) of the quantitative PCR assay. Suggested assay modifications to help minimize this inherent assay variability include the use of duplicate or triplicate samples or even inclusion of the previous sample in the assay run. However, this can set up a complex and expensive testing scenario, which may still not achieve the requisite improvements in testing accuracy.

Of most importance, the planned international assay standardization procedures for quantitative BCR-ABL testing, involving exchange of reference standards and quality control samples, are likely to be pivotal in reducing this assay variability.1,2 It is anticipated that these standardization measures will maximize the reliability of quantitative BCR-ABL testing for clinical decision making particularly among patients for whom there may be concerns about potential escape from disease control.

Authorship

Conflict-of-interest disclosure: The authors declare no competing financial interests.

Correspondence: Mark Hertzberg, Haematology Dept, Westmead Hospital, Westmead, NSW 2145, Australia; e-mail: mark_hertzberg{at}wmi.usyd.edu.au.

Mark Hertzberg, and David McDonald

References

  1. Hughes T, Deininger M, Hochhaus A, et al. Monitoring CML patients responding to treatment with tyrosine kinase inhibitors: review and recommendations for harmonizing current methodology for detecting bcr-abl transcripts and kinase domain mutations and for expressing results. Blood 2006; 108:28–37.[Abstract/Free Full Text]

  2. Baccarani M, Saglio G, Goldman J, et al. Evolving concepts in the management of chronic myeloid leukemia: recommendations from an expert panel on behalf of the European LeukemiaNet. Blood 2006; 108:1809–1820.[Abstract/Free Full Text]


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Related Article in Blood Online:

Response: Reliability of PCR for BCR-ABL transcripts
Timothy Hughes, Susan Branford, and John M. Goldman
Blood 2007 109: 2263-2264. [Full Text] [PDF]




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