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CD7 is expressed on a subset of normal CD34‐positive myeloid precursors

Overview of attention for article published in European Journal of Haematology, July 2018
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Article details
Title
CD7 is expressed on a subset of normal CD34‐positive myeloid precursors
Published in
European Journal of Haematology, July 2018
DOI 10.1111/ejh.13100
Pubmed ID
Authors
Abstract

To improve monitoring of myeloid neoplasms by flow cytometry-based minimal residual disease (MRD) analysis, we analyzed the significance of leukemia-associated immunophenotype (LAIP) markers in 44 patients. In a pilot study cohort, peripheral blood or bone marrow samples from 13 patients with myeloid neoplasms and one case of B lymphoblastic leukemia in complete hematologic remission after allogeneic bone marrow or stem cell transplantation were subjected to selection for leukemia-specific phenotypes by fluorescence-activated cell sorting using individual marker combinations, followed by PCR-based chimerism analysis. The feasibility of this method could be demonstrated, with selection being successful in 12 cases, including two cases where mixed chimerism was found exclusively in sorted cells. Interestingly, four specimens displayed full donor chimerism in cells expressing the presumably aberrant combination CD34+ /CD7+ . Further analyses, including assessment of an independent cohort of 25 patients not affected by neoplastic bone marrow infiltration, revealed that normal myeloid precursors usually include a population coexpressing CD34, CD13, CD33, and CD7. We conclude that the combination CD34+ /CD7+ might not be suitable as an LAIP for MRD diagnostics and that a subset of normal myeloid precursors in the bone marrow expresses CD7.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 22%
Other 3 17%
Student > Bachelor 3 17%
Student > Ph. D. Student 2 11%
Professor 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 3 17%
Engineering 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2018.
All research outputs
#21,657,079
of 27,396,316 outputs
Outputs from European Journal of Haematology
#1,688
of 2,156 outputs
Outputs of similar age
#256,965
of 345,578 outputs
Outputs of similar age from European Journal of Haematology
#21
of 28 outputs
Altmetric has tracked 27,396,316 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,156 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,578 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.