| Title |
Activated regulatory and memory T-cells accumulate in malignant ascites from ovarian carcinoma patients
|
|---|---|
| Published in |
Cancer Immunology, Immunotherapy, November 2014
|
| DOI | 10.1007/s00262-014-1636-6 |
| Pubmed ID | |
| Authors |
Johannes Landskron, Øystein Helland, Knut Martin Torgersen, Einar Martin Aandahl, Bjørn Tore Gjertsen, Line Bjørge, Kjetil Taskén |
| Abstract |
Invasive ovarian cancer is associated with poor outcome. The presence of infiltrating regulatory T-cells (Tregs) suppresses protective anti-tumor immune responses, and their accumulation into the tumor microenvironment correlates with reduced survival in ovarian cancer patients. Here, we conducted a detailed characterization of CD4(+) T-cells, CD8(+) T-cells and Treg subsets in the peripheral blood and malignant ascites fluid from seventeen patients with ovarian carcinoma of epithelial origin. Cell distribution, activation status and proliferation status were assessed by multi-color flow cytometry. In ascites fluid, a significant accumulation of CD8(+) cytotoxic T-cells and Tregs was observed compared to peripheral blood. Furthermore, a skewing toward the CD45RA(-) effector/memory compartment was observed in all T-cell subsets in the ascites fluid, but was most pronounced in the Treg population. Regulatory T-cells in the malignant ascites were more activated and had a higher proliferation rate compared to blood-derived cells from the same patient, and their number in ascites was positively correlated with the number of epithelial cells in effusion. In summary, we demonstrate an accumulation of activated CD4(+), CD8(+) and regulatory T-cells in the cancer microenvironment of ovarian carcinoma. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Student > Master | 11 | 20% |
| Student > Bachelor | 8 | 15% |
| Researcher | 3 | 5% |
| Unspecified | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 15 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Medicine and Dentistry | 9 | 16% |
| Immunology and Microbiology | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 16 | 29% |
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 29 April 2015.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Cancer Immunology, Immunotherapy
#2,151
of 2,881 outputs
Outputs of similar age
#213,865
of 361,557 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#24
of 33 outputs
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