Title |
Oncogenic RAS Regulates Long Noncoding RNA Orilnc1 in Human Cancer
|
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Published in |
Cancer Research, July 2017
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DOI | 10.1158/0008-5472.can-16-1768 |
Pubmed ID | |
Authors |
Dongmei Zhang, Gao Zhang, Xiaowen Hu, Lawrence Wu, Yi Feng, Sidan He, Youyou Zhang, Zhongyi Hu, Lu Yang, Tian Tian, Weiting Xu, Zhi Wei, Yiling Lu, Keith T Flaherty, Xiaomin Zhong, Gordon B Mills, Phyllis A Gimotty, Xiaowei Xu, Meenhard Herlyn, Lin Zhang |
Abstract |
RAS and its downstream cascades transmit cellular signals resulting in increased transcription of genes involved in cell growth and division. Protein-coding gene targets of RAS signaling have been characterized extensively, but long non-coding RNAs (lncRNA) regulated by these processes have not. Using a custom-designed lncRNA microarray, we identified the lncRNA Orilnc1 as a genetic target of RAS that is critical for RAS oncogenicity. Orilnc1 expression was regulated by RAS-RAF-MEK-ERK signaling via the transcription factor AP1. Orilnc1 was highly expressed in BRAF-mutant cancers such as melanoma. Silencing of Orilnc1 blocked tumor cell proliferation and growth in vitro and in vivo. Additionally, Orilnc1 blockade reduced expression of Cyclin E1 and induced G1/S cell cycle arrest in tumor cells. Taken together, our results identify Orilnc1 as a novel, non-protein mediator of RAS/RAF activation which may serve as a therapeutic target in RAS/RAF-driven cancers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 19% |
Student > Ph. D. Student | 6 | 19% |
Researcher | 4 | 13% |
Student > Master | 3 | 10% |
Student > Postgraduate | 2 | 6% |
Other | 4 | 13% |
Unknown | 6 | 19% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 39% |
Medicine and Dentistry | 7 | 23% |
Agricultural and Biological Sciences | 3 | 10% |
Computer Science | 1 | 3% |
Neuroscience | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 23% |