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Toward harmonized phenotyping of human myeloid-derived suppressor cells by flow cytometry: results from an interim study

Overview of attention for article published in Cancer Immunology, Immunotherapy, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Citations

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195 Mendeley
Title
Toward harmonized phenotyping of human myeloid-derived suppressor cells by flow cytometry: results from an interim study
Published in
Cancer Immunology, Immunotherapy, January 2016
DOI 10.1007/s00262-015-1782-5
Pubmed ID
Authors

Susanna Mandruzzato, Sven Brandau, Cedrik M. Britten, Vincenzo Bronte, Vera Damuzzo, Cécile Gouttefangeas, Dominik Maurer, Christian Ottensmeier, Sjoerd H. van der Burg, Marij J. P. Welters, Steffen Walter

Abstract

There is an increasing interest for monitoring circulating myeloid-derived suppressor cells (MDSCs) in cancer patients, but there are also divergences in their phenotypic definition. To overcome this obstacle, the Cancer Immunoguiding Program under the umbrella of the Association of Cancer Immunotherapy is coordinating a proficiency panel program that aims at harmonizing MDSC phenotyping. After a consultation period, a two-stage approach was designed to harmonize MDSC phenotype. In the first step, an international consortium of 23 laboratories immunophenotyped 10 putative MDSC subsets on pretested, peripheral blood mononuclear cells of healthy donors to assess the level of concordance and define robust marker combinations for the identification of circulating MDSCs. At this stage, no mandatory requirements to standardize reagents or protocols were introduced. Data analysis revealed a small intra-laboratory, but very high inter-laboratory variance for all MDSC subsets, especially for the granulocytic subsets. In particular, the use of a dead-cell marker altered significantly the reported percentage of granulocytic MDSCs, confirming that these cells are especially sensitive to cryopreservation and/or thawing. Importantly, the gating strategy was heterogeneous and associated with high inter-center variance. Overall, our results document the high variability in MDSC phenotyping in the multicenter setting if no harmonization/standardization measures are applied. Although the observed variability depended on a number of identified parameters, the main parameter associated with variation was the gating strategy. Based on these findings, we propose further efforts to harmonize marker combinations and gating parameters to identify strategies for a robust enumeration of MDSC subsets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 <1%
Unknown 194 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 21%
Researcher 37 19%
Student > Master 22 11%
Student > Bachelor 17 9%
Student > Doctoral Student 16 8%
Other 30 15%
Unknown 33 17%
Readers by discipline Count As %
Immunology and Microbiology 39 20%
Biochemistry, Genetics and Molecular Biology 34 17%
Medicine and Dentistry 33 17%
Agricultural and Biological Sciences 32 16%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 13 7%
Unknown 36 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 July 2021.
All research outputs
#7,753,975
of 23,577,654 outputs
Outputs from Cancer Immunology, Immunotherapy
#1,064
of 2,948 outputs
Outputs of similar age
#125,271
of 396,606 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#10
of 34 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 37th percentile – i.e., 37% 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 396,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.