Chimerism testing and detection of minimal residual disease after allogeneic hematopoietic transplantation using the bioView (Duet™) combined morphological and cytogenetical analysis

A. Shimoni, A. Nagler, C. Kaplinsky, M. Reichart, A. Avigdor, I. Hardan, M. Yeshurun, M. Daniely, Y. Zilberstein, N. Amariglio, F. Brok-Simoni, G. Rechavi, L. Trakhtenbrot

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Recurrent disease remains a major obstacle to cure after allogeneic transplantation. Various methods have been developed to detect minimal residual disease (MRD) after transplantation to identify patients at risk for relapse. Chimerism tests differentiate recipient and donor cells and are used to identify MRD when there are no other disease-specific markers. The detection of MRD does not always correlate with relapse risk. Chimerism testing may also identify normal hematopoietic cells or other cells not contributing to relapse. In this study we report our initial experience with a novel system that provides combined morphological and cytogenetical analysis on the same cells. This system allows rapid automatic scanning of a large number of cells, thus increasing the sensitivity of detection of small recipient population. The clinical significance of MRD detection is improved by identifying the morphology of recipient cells. Identification of recipient characteristics within blasts predicts overt relapse in leukemia patients and precedes it by a few weeks to months. Identification within mature hematopoietic cells may not be closely associated with relapse. The system also allows chimerism testing after sex-mismatched transplants, within cellular subsets, with no need for sorting of cells. The system merits further study in larger scale trials.

Original languageEnglish
Pages (from-to)1413-1418
Number of pages6
JournalLeukemia
Volume16
Issue number8
DOIs
StatePublished - Aug 2002
Externally publishedYes

Keywords

  • Chimerism
  • FISH
  • Minimal residual disease
  • Morphology

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