Title |
Long non-coding RNA HOTTIP promotes BCL-2 expression and induces chemoresistance in small cell lung cancer by sponging miR-216a
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Published in |
Cell Death & Disease, January 2018
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DOI | 10.1038/s41419-017-0113-5 |
Pubmed ID | |
Authors |
Yanqin Sun, Bingshuang Hu, Qiongyao Wang, Minting Ye, Qianqian Qiu, Yuanyuan Zhou, Fanrui Zeng, Xiaomin Zhang, Ying Guo, Linlang Guo |
Abstract |
Despite progress in treatment of small cell lung cancer (SCLC), its multidrug chemoresistance and poor prognosis still remain. Recently, we globally assessed long non-coding RNAs (lncRNAs) for contributions to SCLC chemoresistance using microarray data, in vitro and in vivo assays. Here we reported that HOTTIP, encoding a lncRNA that is frequently amplified in SCLC, was associated with SCLC cell chemosensitivity, proliferation, and poor prognosis of SCLC patients. Moreover, mechanistic investigations showed that HOTTIP functioned as an oncogene in SCLC progression by binding miR-216a and abrogating its tumor-suppressive function in this setting. On the other hand, HOTTIP increased the expression of anti-apoptotic factor BCL-2, another important target gene of miR-216a, and jointly enhanced chemoresistance of SCLC by regulating BCL-2. Taken together, our study established a role for HOTTIP in SCLC progression and chemoresistance suggest its candidacy as a new diagnostic and prognostic biomarker for clinical management of SCLC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 19% |
Student > Bachelor | 7 | 15% |
Researcher | 3 | 6% |
Student > Postgraduate | 2 | 4% |
Student > Master | 2 | 4% |
Other | 7 | 15% |
Unknown | 17 | 36% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 26% |
Medicine and Dentistry | 8 | 17% |
Agricultural and Biological Sciences | 2 | 4% |
Unspecified | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 20 | 43% |