Title |
Long Noncoding RNAs in Cancer: From Function to Translation
|
---|---|
Published in |
Trends in Cancer, October 2015
|
DOI | 10.1016/j.trecan.2015.08.010 |
Pubmed ID | |
Authors |
Anirban Sahu, Udit Singhal, Arul M. Chinnaiyan |
Abstract |
While our understanding of the molecular mechanisms underlying cancer has significantly improved, most of our knowledge focuses on protein-coding genes that make up a fraction of the genome. Recent studies have uncovered thousands of long noncoding RNAs (lncRNAs) that populate the cancer genome. A subset of these molecules shows striking cancer- and lineage-specific expression patterns, suggesting they may be potential drivers of cancer biology and have utility as clinical biomarkers. Here, we discuss emerging modalities of lncRNA biology and their interplay with cancer-associated concepts, including epigenetic regulation, DNA damage and cell cycle control, microRNA silencing, signal transduction pathways, and hormone-driven disease. Additionally, we highlight the translational impact of lncRNAs, tools for their mechanistic investigation, and directions for future lncRNA research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 26% |
United Kingdom | 4 | 6% |
Italy | 3 | 4% |
France | 3 | 4% |
Germany | 3 | 4% |
Netherlands | 3 | 4% |
Saudi Arabia | 2 | 3% |
Chile | 1 | 1% |
Mexico | 1 | 1% |
Other | 7 | 10% |
Unknown | 23 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 33 | 49% |
Scientists | 29 | 43% |
Science communicators (journalists, bloggers, editors) | 5 | 7% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 156 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 25% |
Researcher | 32 | 20% |
Student > Master | 19 | 12% |
Student > Bachelor | 13 | 8% |
Professor > Associate Professor | 10 | 6% |
Other | 23 | 14% |
Unknown | 26 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 48 | 29% |
Agricultural and Biological Sciences | 40 | 24% |
Medicine and Dentistry | 26 | 16% |
Immunology and Microbiology | 5 | 3% |
Neuroscience | 4 | 2% |
Other | 12 | 7% |
Unknown | 29 | 18% |