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Enhanced frequency and potential mechanism of B regulatory cells in patients with lung cancer

Overview of attention for article published in Journal of Translational Medicine, November 2014
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Title
Enhanced frequency and potential mechanism of B regulatory cells in patients with lung cancer
Published in
Journal of Translational Medicine, November 2014
DOI 10.1186/s12967-014-0304-0
Pubmed ID
Authors

Jiebai Zhou, Zhihui Min, Ding Zhang, William Wang, Francesco Marincola, Xiangdong Wang

Abstract

BackgroundRegulatory T cells (Tregs) and B cells (Bregs) play an important role in the development of lung cancer. The present study aimed to investigate the phenotype of circulating Tregs and Bregs in patients with lung cancer and explore potential mechanism by which lung cancer cells act on the development of both.MethodsPatients with lung cancer (n¿=¿268) and healthy donors (n¿=¿65) were enrolled in the study. Frequencies of Tregs and Bregs were measured by flow cytometry with antibodies against CD4, CD25, CD127, CD45RA, CD19, CD24, CD27 and IL-10 before and after co-cultures. qRT-PCR was performed to evaluate the mRNA levels of RANTES, MIP-1¿, TGF-ß, IFN-¿ and IL-4.ResultsWe found a lower frequency of Tregs and a higher frequency of Bregs in patients with lung cancer compared to healthy donors. Co-culture of lung cancer cells with peripheral blood mononuclear cells could polarize the lymphocyte phenotype in the similar pattern. Lipopolysaccharide (LPS)-stimulated lung cancer cells significantly modulated regulatory cell number and function in an in vitro model.ConclusionWe provide initial evidence that frequencies of peripheral Tregs decreased or Bregs increased in patients with lung cancer, which may be modulated directly by lung cancer cells. It seems cancer cells per se plays a crucial role in the development of tumor immunity.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 10 19%
Researcher 7 13%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 7 13%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 8 15%
Immunology and Microbiology 8 15%
Agricultural and Biological Sciences 5 10%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 16 31%

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 15 March 2016.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Journal of Translational Medicine
#2,941
of 3,982 outputs
Outputs of similar age
#185,502
of 258,972 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 92 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,982 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.