| Title |
MiRNAs-mediated cisplatin resistance in breast cancer
|
|---|---|
| Published in |
Tumor Biology, July 2016
|
| DOI | 10.1007/s13277-016-5216-6 |
| Pubmed ID | |
| Authors |
Xiu Chen, Peng Lu, Ying Wu, Dan-dan Wang, Siying Zhou, Su-jin Yang, Hong-Yu Shen, Xiao-hui Zhang, Jian-hua Zhao, Jin-hai Tang |
| Abstract |
Cisplatin is a widely used chemotherapeutic agent in breast cancer treatments with inevitable rapidly acquired resistance or intrinsically resistance. Enormous evidence points to the bioprocesses of resistant formation consisting of diverse miRNAs direct and indirect actions on relevant encoding genes. In this report, we overview detailed information on the miRNAs effect on cisplatin-induced resistance, including alterations in cell survival, modification of DNA damage response, changes in cellular uptake or efflux of the drug, altered DNA methylation, and perturbations in the miRNA biogenesis pathway. This will provide potential miRNA-targeted strategies for the treatment of breast cancer therapy and requires further clinical application. |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 21% |
| Student > Ph. D. Student | 5 | 18% |
| Student > Postgraduate | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 46% |
| Medicine and Dentistry | 4 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Agricultural and Biological Sciences | 3 | 11% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 14% |
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 08 August 2016.
All research outputs
#14,857,330
of 22,881,154 outputs
Outputs from Tumor Biology
#969
of 2,623 outputs
Outputs of similar age
#224,516
of 364,027 outputs
Outputs of similar age from Tumor Biology
#18
of 92 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,623 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 60% of its peers.
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We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.