| Title |
Recent progress on the effects of microRNAs and natural products on tumor epithelial–mesenchymal transition
|
|---|---|
| Published in |
OncoTargets and therapy, July 2017
|
| DOI | 10.2147/ott.s139546 |
| Pubmed ID | |
| Authors |
Shu-Jin He, Chu-Qi Xiang, Yu Zhang, Xiang-Tong Lu, Hou-Wen Chen, Li-Xia Xiong |
| Abstract |
Epithelial-mesenchymal transition (EMT) is a biological process of phenotypic transition of epithelial cells that can promote physiological development as well as tissue healing and repair. In recent years, cancer researchers have noted that EMT is closely related to the occurrence and development of tumors. When tumor cells undergo EMT, they can develop enhanced migration and local tissue invasion abilities, which can lead to metastatic growth. Nevertheless, two researches in NATURE deny its necessity in specific tumors and that is discussed in this review. The degree of EMT and the detection of EMT-associated marker molecules can also be used to judge the risk of metastasis and to evaluate patients' prognosis. MicroRNAs (miRNAs) are noncoding small RNAs, which can inhibit gene expression and protein translation through specific binding with the 3' untranslated region of mRNA. In this review, we summarize the miRNAs that are reported to influence EMT through transcription factors such as ZEB, SNAIL, and TWIST, as well as some natural products that regulate EMT in tumors. Moreover, mutual inhibition occurs between some transcription factors and miRNAs, and these effects appear to occur in a complex regulatory network. Thus, understanding the role of miRNAs in EMT and tumor growth may lead to new treatments for malignancies. Natural products can also be combined with conventional chemotherapy to enhance curative effects. |
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 % |
|---|---|---|
| United States | 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Lecturer | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Nursing and Health Professions | 2 | 9% |
| Immunology and Microbiology | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
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 27 July 2017.
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#20,660,571
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
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Outputs of similar age
#252,263
of 326,871 outputs
Outputs of similar age from OncoTargets and therapy
#48
of 72 outputs
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