| Title |
Altered monocyte differentiation and macrophage polarization patterns in patients with breast cancer
|
|---|---|
| Published in |
BMC Cancer, April 2018
|
| DOI | 10.1186/s12885-018-4284-y |
| Pubmed ID | |
| Authors |
Chih-Hsing Hung, Fang-Ming Chen, Yi-Ching Lin, Mei-Lan Tsai, Shih-Ling Wang, Yen-Chun Chen, Yi-Ting Chen, Ming-Feng Hou |
| Abstract |
Macrophage heterogeneity is the main feature of the tumour microenvironment. Breast cancer is one of the most life-threatening cancers. However, macrophage polarization patterns in different tumour stages and the importance of its relationship to human epidermal growth factor receptor 2 (HER2) in breast cancer remains highly unclear. The present study investigated the patterns of monocyte differentiation and macrophage polarization in breast cancer. Patients with breast cancer (n = 48) and healthy controls (n = 39) were prospectively recruited. The percentages and subsets of circulating macrophage-like cells were analysed by flow cytometry, and the polarization patterns of these cells in the peripheral blood of patients with breast cancer were compared with those of healthy controls. In addition, macrophage polarization patterns in different stages and HER2 status in breast cancer were investigated. The percentages of circulating macrophages, which are defined as PM-2 K+ cells in the peripheral blood, were significantly higher in patients with breast cancer than in healthy controls. The percentages of M1-like macrophages were significantly lower, but those of M2-like macrophages were significantly higher in patients with breast cancer than in healthy controls. The percentage of M2c-like macrophages was significantly higher in advanced (stages II and III) breast cancer. However, the patterns of macrophage polarization were not associated with HER2 status in breast cancer. Aberrant macrophage polarization was observed in breast cancer and was correlated with breast cancer stage. These quantitative data may provide new molecular biomarkers and potential therapeutic targets in breast cancer. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 10 | 16% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Other | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Medicine and Dentistry | 12 | 20% |
| Immunology and Microbiology | 11 | 18% |
| Agricultural and Biological Sciences | 6 | 10% |
| Materials Science | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 11 | 18% |
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 April 2018.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Cancer
#6,689
of 8,483 outputs
Outputs of similar age
#293,630
of 331,198 outputs
Outputs of similar age from BMC Cancer
#184
of 225 outputs
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