| Title |
Myeloid-derived suppressor cells in B cell malignancies
|
|---|---|
| Published in |
Tumor Biology, September 2015
|
| DOI | 10.1007/s13277-015-4004-z |
| Pubmed ID | |
| Authors |
Yaghoub Yazdani, Mousa Mohammadnia-Afrouzi, Mehdi Yousefi, Enayat Anvari, Ghasem Ghalamfarsa, Hadi Hasannia, Sanam Sadreddini, Farhad Jadidi-Niaragh |
| Abstract |
Tumor cells use several mechanisms such as soluble immune modulators or suppressive immune cells to evade from anti-tumor responses. Immunomodulatory cytokines, such as transforming growth factor-β, interleukin (IL)-10, and IL-35, soluble factors, such as adenosine, immunosuppressive cells, such as regulatory T cells, NKT cells and myeloid-derived suppressor cells (MDSCs), are the main orchestra leaders involved in immune suppression in cancer by which tumor cells can freely expand without immune cell-mediated interference. Among them, MDSCs have attracted much attention as they represent a heterogenous population derived from myeloid progenitors that are expanded in tumor condition and can also shift toward other myeloid cells, such as macrophages and dendritic cells, after tumor clearing. MDSCs exert their immunosuppressive effects through various immune and non-immune mechanisms which make them as potent tumor-promoting cells. Although, there are several studies regarding the immunobiology of MDSCs in different solid tumors, little is known about the precise characteristics of these cells in hematological malignancies, particularly B cell malignancies. In this review, we tried to clarify the precise role of MDSCs in B cell-derived malignancies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Other | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 5 | 13% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 7 | 18% |
| Agricultural and Biological Sciences | 6 | 15% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Chemistry | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 12 | 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 03 February 2016.
All research outputs
#20,303,950
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Outputs from Tumor Biology
#1,834
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Outputs of similar age
#224,427
of 267,100 outputs
Outputs of similar age from Tumor Biology
#137
of 209 outputs
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