↓ Skip to main content

PD1hi cells associate with clusters of proliferating B-cells in marginal zone lymphoma

Overview of attention for article published in Diagnostic Pathology, September 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
PD1hi cells associate with clusters of proliferating B-cells in marginal zone lymphoma
Published in
Diagnostic Pathology, September 2018
DOI 10.1186/s13000-018-0750-8
Pubmed ID
Authors

Katherine Wickenden, Nadia Nawaz, Sami Mamand, Deevia Kotecha, Amy L. Wilson, Simon D. Wagner, Matthew J. Ahearne

Abstract

Abnormally sustained immune reactions drive B-cell proliferation in some cases of marginal zone lymphoma but the CD4+ T-cell subsets, which are likely to contribute to the B-cell responses in the tumour microenvironment, are not well characterised and neither has the spatial distribution of the different subsets in involved lymph nodes been investigated. Employing a workflow of multiplex semi-automated immunohistochemistry combined with image processing we investigated association between infiltrating T-cells and proliferating lymphoma B-cells. Both total numbers of activating follicular helper (Tfh) cells (defined by high expression of PD1) and suppressive regulatory (Treg) T-cells (defined by FOXP3+ expression) and the Tfh:Treg ratio, assessed over relatively large areas of tissue, varied among cases of marginal zone lymphoma. We determined spatial distribution and demonstrated that PD1hi cells showed significantly more clustering than did FOXP3+. To investigate the association of infiltrating T-cells with lymphoma B-cells we employed Pearson correlation and Morisita-Horn index, statistical measures of interaction. We demonstrated that PD1hi cells were associated with proliferating B-cells and confirmed this by nearest neighbour analysis. The unexpected architectural complexity of T-cell infiltration in marginal zone lymphoma, revealed in this study, further supports a key role for Tfh cells in driving proliferation of lymphoma B-cells. We demonstrate the feasibility of digital analysis of spatial architecture of T-cells within marginal zone lymphoma and future studies will be needed to determine the clinical importance of these observations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 18%
Student > Bachelor 3 18%
Student > Doctoral Student 2 12%
Researcher 2 12%
Student > Ph. D. Student 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 7 41%
Biochemistry, Genetics and Molecular Biology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Agricultural and Biological Sciences 1 6%
Mathematics 1 6%
Other 2 12%
Unknown 3 18%
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 17 September 2018.
All research outputs
#17,990,045
of 23,103,436 outputs
Outputs from Diagnostic Pathology
#685
of 1,140 outputs
Outputs of similar age
#242,200
of 337,900 outputs
Outputs of similar age from Diagnostic Pathology
#13
of 24 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,140 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 32nd percentile – i.e., 32% 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 337,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.