| Title |
Role of miR-155 in drug resistance of breast cancer
|
|---|---|
| Published in |
Tumor Biology, March 2015
|
| DOI | 10.1007/s13277-015-3263-z |
| Pubmed ID | |
| Authors |
Dan-dan Yu, Meng-meng Lv, Wei-xian Chen, Shan-liang Zhong, Xiao-hui Zhang, Lin Chen, Teng-fei Ma, Jin-hai Tang, Jian-hua Zhao |
| Abstract |
MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expressions at posttranscriptional level. Growing evidence points to their significant role in the acquisition of drug resistance in cancers. Studies show that miRNAs are often aberrantly expressed in human cancer cells which are associated with tumorigenesis, metastasis, invasiveness, and drug resistance. Breast cancer is the leading cause of cancer-induced death in women. Over the last decades, increasing attention has been paid to the effects of miRNAs on the development of breast cancer drug resistance. Among them, miR-155 takes part in a sequence of bioprocesses that contribute to the development of such drug resistance, including repression of FOXO3a, enhancement of epithelial-to-mesenchymal transition (EMT) and mitogen-activated protein kinase (MAPK) signaling, reduction of RhoA, and affecting the length of telomeres. In this review, we discuss the role of miR-155 in the acquisition of breast cancer drug resistance. This will provide a new way in antiresistance treatment of drug-resistant 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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 8 | 18% |
| Student > Master | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 27% |
| Agricultural and Biological Sciences | 10 | 22% |
| Medicine and Dentistry | 4 | 9% |
| Chemistry | 3 | 7% |
| Psychology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 27% |
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 07 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#218,212
of 258,624 outputs
Outputs of similar age from Tumor Biology
#97
of 170 outputs
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