| Title |
miRNA-451 inhibits glioma cell proliferation and invasion by downregulating glucose transporter 1
|
|---|---|
| Published in |
Tumor Biology, July 2016
|
| DOI | 10.1007/s13277-016-5219-3 |
| Pubmed ID | |
| Authors |
Hongbao Guo, Yang Nan, Yingwei Zhen, Yahui Zhang, Liyun Guo, Kai Yu, Qiang Huang, Yue Zhong |
| Abstract |
MicroRNAs play an important role in tumor development and progression. Tumor growth is closely associated with glucose metabolism. Specifically, tumor cells produce energy (ATP) under aerobic and anaerobic conditions through glycolysis and metabolites, such as lactic acid and ATP, as a result of the Warburg effect. However, the transport of glucose into cells depends on protein transporters in the cell membrane. Therefore, this area has recently become a topic of interest for research on targeted cancer therapy. We found that miRNA-451 inhibits the phosphatidylinositol-3 kinase (PI3K)/Akt signaling pathway to modify the biological behavior of glioma cells. Inhibiting the PI3K/Akt pathway may prevent glucose-addicted cancer cells from performing glycolysis. Akt directly affects glycolysis by regulating the localization of the glucose transporter 1 (GLUT1). However, how miRNA-451 regulates glucose transporters on the cell membrane and affects the regulatory mechanisms of glucose metabolism in glioma cells remains unclear. Consequently, we predict and verify related gene protein interactions. By targeting CAB 39, miRNA-451 likely triggers the LKB1/AMPK/PI3K/AKT pathway, which regulates GLUT1, to inhibit the glucose metabolism of, reduce the energy supply to, and inhibit the proliferation and invasion of glioma cells. Our results suggest a new direction for the treatment of glioma. |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Student > Master | 4 | 16% |
| Researcher | 3 | 12% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 36% |
| Medicine and Dentistry | 5 | 20% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unspecified | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 24% |
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 01 August 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Tumor Biology
#1,835
of 2,623 outputs
Outputs of similar age
#320,213
of 365,393 outputs
Outputs of similar age from Tumor Biology
#69
of 105 outputs
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