| Title |
Effects of miRNAs on functions of breast cancer stem cells and treatment of breast cancer
|
|---|---|
| Published in |
OncoTargets and therapy, July 2018
|
| DOI | 10.2147/ott.s165156 |
| Pubmed ID | |
| Authors |
Ying Zhang, Bin Xu, Xi-ping Zhang |
| Abstract |
Breast cancer is one of the most common malignancies for women, which accounts for 30% of all female malignancies. The formation of breast cancer stem cells (BCSCs) is attributed to the acquisition of stemness of tumor cells. With self-renewal potential, these stem cells are insensitive to either radiotherapy or chemotherapy but are significant in regulating tumor behaviors and drug resistance. MicroRNA (miRNA) is a kind of noncoding small RNA for negatively regulating gene expressions. Research findings suggest that many miRNAs specifically regulate the expression of target genes and signal pathways of BCSCs. They play an important role in self-renewal, growth, and metastasis of breast cancer cells as potential targets for treating breast cancer. These signal pathways include phosphatase and tensin homolog deleted on chromosome 10-phosphatidylinositol 3-kinase/Akt, Wnt/β-catenin, Notch, and so on. This paper reviews the progress of research about miRNAs in self-renewal, metastasis, epithelial-mesenchymal transition and metastasis, mediation of resistance to chemotherapies, and treatment of breast cancer. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 24% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 17% |
| Agricultural and Biological Sciences | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Immunology and Microbiology | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |
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 14 August 2018.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from OncoTargets and therapy
#1,447
of 3,016 outputs
Outputs of similar age
#250,864
of 341,606 outputs
Outputs of similar age from OncoTargets and therapy
#58
of 108 outputs
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