| Title |
The novel role of miRNAs for tamoxifen resistance in human breast cancer
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, March 2015
|
| DOI | 10.1007/s00018-015-1887-1 |
| Pubmed ID | |
| Authors |
Wenwen Zhang, Jing Xu, Yaqin Shi, Qian Sun, Qun Zhang, Xiaoxiang Guan |
| Abstract |
The selective estrogen receptor modulator tamoxifen is the most commonly used treatment for patients with ER-positive breast cancer. However, tumor cells often develop resistance to tamoxifen therapy, which is a major obstacle limiting the success of breast cancer treatment. miRNAs, as oncogenic or tumor suppressor genes, regulate the expression and function of their related target genes to affect the biological behaviors of cancer cells, including cancer initiation, progression, metastasis, and therapeutic resistance. In detail, many miRNAs associated with breast cancer tamoxifen resistance have been identified, which offer new targets for breast cancer therapy. Here, we review the miRNAs involved in regulation of tamoxifen resistance in human breast cancer and the mechanism of how the modulation of miRNAs may regulate the sensitivity of breast cancer cells to tamoxifen. We also discuss the future prospects of studies about miRNAs in regulation of tamoxifen resistance and miRNA-based therapeutics for tamoxifen resistance breast cancer patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 20% |
| Student > Bachelor | 5 | 14% |
| Student > Doctoral Student | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 8 | 23% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 8 | 23% |
| Medicine and Dentistry | 6 | 17% |
| Chemistry | 3 | 9% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 2015.
All research outputs
#14,873,797
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,871
of 4,151 outputs
Outputs of similar age
#154,083
of 287,703 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#28
of 55 outputs
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