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Programmed death ligand-1 over-expression correlates with malignancy and contributes to immune regulation in ovarian cancer

Overview of attention for article published in Cancer Immunology, Immunotherapy, December 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 patent

Citations

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105 Dimensions

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102 Mendeley
Title
Programmed death ligand-1 over-expression correlates with malignancy and contributes to immune regulation in ovarian cancer
Published in
Cancer Immunology, Immunotherapy, December 2013
DOI 10.1007/s00262-013-1503-x
Pubmed ID
Authors

Christian J. Maine, Nor Haslinda Abdul Aziz, Jayanta Chatterjee, Claudia Hayford, Nancy Brewig, Lynsey Whilding, Andrew J. T. George, Sadaf Ghaem-Maghami

Abstract

The programmed death-1 (PD-1) pathway is important in the maintenance of peripheral tolerance and homeostasis through suppression of T cell receptor signaling. As such, it is employed by many tumors as a means of immune escape. We have investigated the role of this pathway in human ovarian cancer (OC) to assess its potential role as a diagnostic and/or prognostic marker and therapeutic target, following recent clinical trial success of antibody therapy directed at this pathway. We show programmed death ligand-1 (PD-L1) expression on monocytes in the ascites and blood of patients with malignant OC is strikingly higher than those with benign/borderline disease, with no overlap in the values between these groups. We characterize the regulation of this molecule and show a role of IL-10 present in ascitic fluid. Flow cytometric analysis of T cells present in the ascites and blood showed a correlation of PD-1 expression with malignant tumors versus benign/borderline, in a similar manner to PD-L1 expression on monocytes. Finally, we demonstrate functional links between PD-L1 expression on monocytes and OC tumor cells with suppression of T cell responses. Overall, we present data based on samples obtained from women with ovarian cancer, suggesting the PD-1 pathway may be used as a reliable diagnostic marker in OC, as well as a viable target for use with PD-1/PD-L1-directed antibody immunotherapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Uruguay 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 22 22%
Student > Master 11 11%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 15 15%
Unknown 16 16%
Readers by discipline Count As %
Medicine and Dentistry 28 27%
Agricultural and Biological Sciences 18 18%
Immunology and Microbiology 12 12%
Biochemistry, Genetics and Molecular Biology 10 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Other 6 6%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 February 2022.
All research outputs
#6,351,990
of 23,172,045 outputs
Outputs from Cancer Immunology, Immunotherapy
#888
of 2,904 outputs
Outputs of similar age
#74,785
of 308,849 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#9
of 18 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 308,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 18 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 50% of its contemporaries.