Title |
Long non-coding RNAs in ovarian cancer
|
---|---|
Published in |
Journal of Experimental & Clinical Cancer Research, June 2018
|
DOI | 10.1186/s13046-018-0793-4 |
Pubmed ID | |
Authors |
Lei Zhan, Jun Li, Bing Wei |
Abstract |
Long non-coding RNAs (lncRNAs) refer to functional cellular RNAs molecules longer than 200 nucleotides in length. Unlike microRNAs, which have been widely studied, little is known about the enigmatic role of lncRNAs. However, lncRNAs have motivated extensively attention in the past few years and are emerging as potentially important regulators in pathological processes, including in cancer. We now understand that lncRNAs play role in cancer through their interactions with DNA, protein, and RNA in many instances. Moreover, accumulating evidence has recognized that large classes of lncRNAs are functional for ovarian cancer. Nevertheless, the biological phenomena and molecular mechanisms of lncRNAs in ovarian cancer remain to be better identified. In this review, we outline the dysregulated expression of lncRNAs and their potential clinical implications in ovarian cancer, with a particular emphasis on discussing the well characterized mechanisms underlying lncRNAs in ovarian cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Italy | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 19% |
Researcher | 7 | 19% |
Student > Ph. D. Student | 6 | 17% |
Other | 2 | 6% |
Student > Master | 2 | 6% |
Other | 3 | 8% |
Unknown | 9 | 25% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 17 | 47% |
Engineering | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Linguistics | 1 | 3% |
Other | 2 | 6% |
Unknown | 12 | 33% |