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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A1E reduces stemness and self-renewal in HPV 16-positive cervical cancer stem cells
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, February 2016
|
| DOI | 10.1186/s12906-016-1013-4 |
| Pubmed ID | |
| Authors |
Taeho Kwon, Yesol Bak, Sun-Young Ham, Dae-Yeul Yu, Do-Young Yoon |
| Abstract |
Cervical cancer is the second most common cancer in females. Recent reports have revealed the critical role of cervical cancer stem cells (CSCs) in tumorigenicity and metastasis. Previously we demonstrated that A1E exerts an anti-proliferative action, which inhibits the growth of cervical cancer cells. A1E is composed of 11 oriental medicinal herbs. Cervical cancer cell culture, wund healing and invasion assay, flow cytometry, sheroid formation assay, and wstern blot assays were performed in HPV 16-positive SiHa cell and HPV 16-negative C33A cells. A1E targets the E6 and E7 oncogenes; thus, A1E significantly inhibited proliferation of human papilloma virus (HPV) 16-positive SiHa cells, it did not inhibit the proliferation of HPV-negative C33A cells. Accordingly, we investigated whether A1E can regulate epithelial-to-mesenchymal transition (EMT), CSC self-renewal, and stemness-related gene expression in cervical cancer cells. Down rgulation of cell migration, cell invasion, and EMT was observed in A1E-treated SiHa cells. Specifically, A1E-treated SiHa cells showed significant decreases in OCT-3/4 and Sox2 expression levels and in sphere formation. Moreover, CSCs makers ALDH+ and ALDH, CD133 double positive cell were significantly decreased in A1E-treated SiHa cells. However, A1E treatment did not down regulate ALDH+ expression and the number of ALDH/CD133 double positive cells in C33A cells. Taken together, A1E can inhibit CSCs and reduce the expression of stemness markers. Treating CSCs with A1E may be a potential therapy for cervical 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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 30% |
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 3 | 11% |
| Professor | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 26% |
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 10 | 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 09 February 2016.
All research outputs
#18,438,457
of 22,844,985 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,512
of 3,631 outputs
Outputs of similar age
#287,419
of 397,125 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#50
of 78 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,631 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.