| Title |
Current advances of long non-coding RNA highly upregulated in liver cancer in human tumors
|
|---|---|
| Published in |
OncoTargets and therapy, September 2017
|
| DOI | 10.2147/ott.s136915 |
| Pubmed ID | |
| Authors |
Zhonghua Ma, Hesuyuan Huang, Yetao Xu, Xuezhi He, Jirong Wang, Bingqing Hui, Hao Ji, Jing Zhou, Keming Wang |
| Abstract |
Long non-coding RNAs (lncRNAs) are a group of non-coding RNAs (ncRNAs) >200 nucleotides in length that govern diverse biological processes. Recent evidence suggests that lncRNAs are involved in cancer cell proliferation, apoptosis, invasion, migration, and metastasis. Dysregulation of lncRNAs has been observed in various tumors, and lncRNAs act as oncogenes or tumor suppressors in these malignancies. It has been revealed that lncRNA highly upregulated in liver cancer (HULC) is tightly correlated with a number of cancers such as hepatocellular carcinoma, gastric cancer, colorectal cancer, osteosarcoma, and diffuse large B-cell lymphoma. Depletion of HULC suppressed cancer cell proliferation, migration, and invasion and induced apoptosis. Additionally, HULC may function as a diagnostic biomarker and prognostic indicator for some tumors. In this review, we summarize the current knowledge of the role of HULC in cancer progression and the clinical management of human cancers. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Lecturer | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Master | 2 | 12% |
| Other | 2 | 12% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 35% |
| Medicine and Dentistry | 4 | 24% |
| Unspecified | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 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 15 October 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#251,382
of 324,453 outputs
Outputs of similar age from OncoTargets and therapy
#52
of 75 outputs
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