| Title |
Long noncoding RNA: an emerging paradigm of cancer research
|
|---|---|
| Published in |
Tumor Biology, January 2013
|
| DOI | 10.1007/s13277-013-0658-6 |
| Pubmed ID | |
| Authors |
Man-Tang Qiu, Jing-Wen Hu, Rong Yin, Lin Xu |
| Abstract |
Recent studies have demonstrated the importance of non-protein coding part of human genome in carcinogenesis and metastasis. Among numerous kinds of non-protein coding RNAs, long noncoding RNAs (lncRNAs) play a key regulatory role in cancer biology. LncRNAs are dysregulated in different kinds of cancer and the expression levels of certain lncRNAs are associated with recurrence, metastasis, and prognosis of cancer. It is also proved that overexpression of certain lncRNAs, behaving like oncogenes, can promote matrix invasion of cancer cells and tumor growth. In this review, we focus our attention on lncRNAs those have been validated in human cancer tissues to suggest reasonable strategies for future research. We introduce an update view of lncRNA, extract cancer-related lncRNAs from literature, and describe the known functions and possible underlying molecular mechanisms of some well investigated lncRNAs (MALAT1, HOX antisense intergenic RNA, and highly upregulated in hepatocellular cancer), as well as their current and potential future application in cancer diagnosis (PCA3) and treatment (H19). |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 145 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 23% |
| Researcher | 25 | 17% |
| Student > Master | 23 | 15% |
| Student > Bachelor | 17 | 11% |
| Student > Postgraduate | 8 | 5% |
| Other | 25 | 17% |
| Unknown | 17 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 37% |
| Biochemistry, Genetics and Molecular Biology | 36 | 24% |
| Medicine and Dentistry | 19 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Neuroscience | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 23 | 15% |
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 10 April 2013.
All research outputs
#17,677,535
of 22,694,633 outputs
Outputs from Tumor Biology
#1,219
of 2,621 outputs
Outputs of similar age
#211,243
of 282,817 outputs
Outputs of similar age from Tumor Biology
#11
of 20 outputs
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