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Sequential immune monitoring in patients with melanoma and renal cell carcinoma treated with high-dose interleukin-2: immune patterns and correlation with outcome

Overview of attention for article published in Cancer Immunology, Immunotherapy, September 2014
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Title
Sequential immune monitoring in patients with melanoma and renal cell carcinoma treated with high-dose interleukin-2: immune patterns and correlation with outcome
Published in
Cancer Immunology, Immunotherapy, September 2014
DOI 10.1007/s00262-014-1605-0
Pubmed ID
Authors

David M. Foureau, Asim Amin, Richard L. White, William Anderson, Chase P. Jones, Terry Sarantou, Iain H. McKillop, Jonathan C. Salo

Abstract

Interleukin-2 (IL-2) therapy leads to clinically relevant responses in 10-16 % of patients with metastatic melanoma (MMEL) or 10-30 % of patients with metastatic renal cell carcinoma (MRCC). To date, no biomarkers have been validated to identify patients who are likely to respond. We hypothesized that changes in T cell subset distribution in patients undergoing IL-2 therapy may correlate with treatment outcomes. Immune profiles of 64 patients (27-MMEL, 37-MRCC) were evaluated using flow cytometry at baseline, during (≥three doses) and at the end of treatment cycle (30 ± 6 h after last dose), through two courses of IL-2 therapy. Changes in distribution and phenotype of circulating CD4 and CD8 lymphocyte subsets were compared (1) based on cancer types and (2) intra-patient during the course of the IL-2 therapy. Exploratory analysis of immunologic profiles was also performed based on treatment outcome. Independent of cancer type, IL-2 led to a transient decrease of circulating effector lymphocytes, while regulatory T cells gradually increased. Interleukin-2 differentially affected a subset of CD8 T cell expressing Foxp3, depending on malignancy type. In MMEL patients, IL-2 gradually expanded circulating CD8 Foxp3+ cells; in MRCC patients, IL-2 transiently increased expression of CD103 and CCR4 homing markers. Monitoring of adaptive immune variables early on and during the course of IL-2 therapy revealed transient alterations in immune profiles, specific to MMEL and MRCC patients, related to immune balance (and ultimately response to IL-2 therapy) or T cell egress from the circulation.

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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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Doctoral Student 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Medicine and Dentistry 13 41%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 2 6%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 11 34%
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 11 July 2015.
All research outputs
#17,737,508
of 22,778,347 outputs
Outputs from Cancer Immunology, Immunotherapy
#2,344
of 2,881 outputs
Outputs of similar age
#160,838
of 238,988 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#26
of 31 outputs
Altmetric has tracked 22,778,347 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 2,881 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 15th percentile – i.e., 15% 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 238,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.