| Title |
MEK-dependent IL-8 induction regulates the invasiveness of triple-negative breast cancer cells
|
|---|---|
| Published in |
Tumor Biology, November 2015
|
| DOI | 10.1007/s13277-015-4345-7 |
| Pubmed ID | |
| Authors |
Sangmin Kim, Jeongmin Lee, Myeongjin Jeon, Jeong Eon Lee, Seok Jin Nam |
| Abstract |
Interleukin-8 (IL-8) serves as a prognostic marker for breast cancer, and its expression level correlates with metastatic breast cancer and poor prognosis. Here, we investigated the levels of IL-8 expression in a variety of breast cancer cells and the regulatory mechanism of IL-8 in triple-negative breast cancer (TNBC) cells. Our results showed that IL-8 expression correlated positively with overall survival in basal-type breast cancer patients. The levels of IL-8 mRNA expression and protein secretion were significantly increased in TNBC cells compared with non-TNBC cells. In addition, the invasiveness of the TNBC cells was dramatically increased by IL-8 treatment and then augmented invasion-related proteins such as matrix metalloproteinase (MMP)-2 or MMP-9. We observed that elevated IL-8 mRNA expression and protein secretion were suppressed by a specific MEK1/2 inhibitor, UO126. In contrast, the overexpression of constitutively active MEK significantly increased the level of IL-8 mRNA expression in BT474 non-TNBC cells. Finally, we investigated the effect of UO126 on the tumorigenecity of TNBC cells. Our results showed that anchorage-independent growth, cell invasion, and cell migration were also decreased by UO126 in TNBC cells. As such, we demonstrated that IL-8 expression is regulated through MEK/ERK-dependent pathways in TNBC cells. A diversity of MEK blockers, including UO126, may be promising for treating TNBC patients. |
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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Doctoral Student | 3 | 13% |
| Professor | 3 | 13% |
| Student > Master | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 26% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Chemistry | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
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 06 November 2015.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#240,770
of 286,576 outputs
Outputs of similar age from Tumor Biology
#181
of 295 outputs
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