Title |
Relapse assessment following allogeneic SCT in patients with MDS and AML
|
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Published in |
Annals of Hematology, March 2014
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DOI | 10.1007/s00277-014-2046-8 |
Pubmed ID | |
Authors |
Maximilian Christopeit, Nicolaus Kröger, Torsten Haferlach, Ulrike Bacher |
Abstract |
Options to pre-emptively treat impending relapse of myelodysplastic syndromes (MDS) and acute myeloid leukaemia (AML) after allogeneic haematopoietic stem cell transplantation (allo-SCT) continuously increase. In recent years, the spectrum of diagnostic methods and parameters to perform post-transplant monitoring in patients with AML and MDS has grown. Cytomorphology, histomorphology, and chimaerism analysis are the mainstay in any panel of post-transplant monitoring. This may be individually combined with multiparameter flow cytometry (MFC) for the detection of residual cells with a leukaemia phenotype and quantitative real-time polymerase chain reaction (RQ-PCR) to assess gene expression, e.g., of WT1 or the residual mutation load (e.g., in case of an NPM1 mutation). Data evaluating the aforementioned methods alone or in combination are discussed in this review with particular emphasis on data pointing towards their suitability to steer pre-emptive post-transplant interventions such as immunotherapy, chemotherapy or therapy with demethylating agents. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Russia | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 5 | 18% |
Student > Bachelor | 4 | 14% |
Researcher | 3 | 11% |
Student > Postgraduate | 3 | 11% |
Other | 2 | 7% |
Other | 7 | 25% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 9 | 32% |
Agricultural and Biological Sciences | 6 | 21% |
Biochemistry, Genetics and Molecular Biology | 6 | 21% |
Engineering | 2 | 7% |
Physics and Astronomy | 1 | 4% |
Other | 0 | 0% |
Unknown | 4 | 14% |