Molecular monitoring of chronic myelogenous leukemia: Identification of the most suitable internal control gene for real-time quantification of BCR-ABL transcripts

Y. Lynn Wang, Joong Won Lee, Ethel Cesarman, David K. Jin, Balazs Csernus

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Monitoring breakpoint cluster region-Abelson kinase (BCR-ABL) levels in patients treated for chronic myelogenous leukemia (CML) has become an integral part of patient management. Real-time reverse transcriptase-polymerase chain reaction is the method of choice for this purpose because of its high analytical sensitivity and reproducibility. Given the variation of RNA quality and quantity in clinical specimens, accurate quantitative assessment of BCR-ABL depends on normalization of the BCR-ABL signal to an appropriate internal reference. However, the controls used by different laboratories vary, and there is no clear consensus on an ideal reference due to limited investigations. In this study, we compared nine commonly used control genes for three criteria: mRNA abundance, levels in CML and non-CML cells, and their degradation kinetics in comparison with BCR-ABL. We found that β-glucuronidase (GUSB) is the most suitable among the nine genes tested. Although ABL is most widely used, our data suggest that the amount of ABL is different in CML and non-CML cells. Moreover, ABL levels are regulated by cellular stress. These findings have a direct impact on current clinical laboratory practice and patient care because the use of a proper control gene affects the reported levels of BCR-ABL transcripts used for patient management decisions.

Original languageEnglish
Pages (from-to)231-239
Number of pages9
JournalJournal of Molecular Diagnostics
Volume8
Issue number2
DOIs
StatePublished - May 2006

Keywords

  • Adult
  • Aged
  • Base Sequence
  • Cell Line, Tumor
  • Female
  • Fusion Proteins, bcr-abl/genetics
  • Humans
  • Kinetics
  • Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
  • Male
  • Middle Aged
  • Polymerase Chain Reaction
  • RNA, Messenger/genetics
  • Time Factors
  • Transcription, Genetic/genetics

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