| Title |
Long non-coding RNA H19 promotes glucose metabolism and cell growth in malignant melanoma via miR-106a-5p/E2F3 axis
|
|---|---|
| Published in |
Journal of Cancer Research and Clinical Oncology, January 2018
|
| DOI | 10.1007/s00432-018-2582-z |
| Pubmed ID | |
| Authors |
Wenkang Luan, Zhou Zhou, Xin Ni, Yun Xia, Jinlong Wang, Yulan Yan, Bin Xu |
| Abstract |
lncRNA H19 has been considered as an oncogenic lncRNA in many human tumours. In the present study, we identify the role and molecular mechanism of lncRNA H19 in melanoma. QRT-PCR was used to detect the expression of lncRNA H19 and E2F3 was detected in melanoma tissues. Cell counting kit-8 (CCK8), representative metabolites analysis was used to explore the biological function of lncRNA H19, miR-106a-5p and E2F3 in melanoma cells. Bioinformatics, luciferase reporter assays, MS2-RIP and RNA pull-down assay was used to demonstrate the molecular mechanism of lncRNA H19 in melanoma. We further test the function of lncRNA H19 in vivo though Xenograft tumour assay. We found that lncRNA H19 was increased in melanoma tissue, and lncRNA H19 was correlated with poor prognosis of melanoma patients. miR-106a-5p acts as a tumour suppressor in melanoma by targeting E2F3. E2F3 affects the melanoma cell glucose metabolism and growth. We also demonstrated that lncRNA H19 may function as the sponge of miR-106a-5p to up-regulate E2F3 expression, and consequently promote the glucose metabolism and growth of melanoma. This result elucidates a new mechanism for lncRNA H19 in melanoma development and provides a survival indicator and potential therapeutic target for melanoma patients. |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 34% |
| Researcher | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Doctoral Student | 3 | 10% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Medicine and Dentistry | 7 | 24% |
| Neuroscience | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 7 | 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 20 January 2018.
All research outputs
#19,221,261
of 23,815,455 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#1,814
of 2,632 outputs
Outputs of similar age
#335,139
of 445,138 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#16
of 29 outputs
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