| Title |
Role of long non-coding RNA in tumor drug resistance
|
|---|---|
| Published in |
Tumor Biology, July 2016
|
| DOI | 10.1007/s13277-016-5125-8 |
| Pubmed ID | |
| Authors |
Heng Deng, Jun Zhang, JinJun Shi, ZhengDong Guo, ChunRong He, Li Ding, Jin Hai Tang, Yong Hou |
| Abstract |
Chemotherapy has been extensively used in tumor treatment, including either systemic or local treatment. Miserably, in many kinds of cancers, chemotherapy is gradually insensitive. The mechanisms of tumor drug resistance have been widely explored, yet have not been fully characterized. With several studies in the development of drug resistance, recent works have highlighted the involvement of non-coding RNAs in tumor development. A growing number of long non-coding RNAs (lncRNAs) have been identified as transcripts of larger than 200 nucleotides in length, which have low coding potential, but potentially coding small peptides with 50-70 amino acids. Despite so often being branded as transcriptional noise, it is becoming increasingly clear that a large number of lncRNAs are crucial molecular regulators of the processes of tumor involving the initiation and progression of human tumor. More recently, accumulating evidence is revealing an important role of lncRNA in tumor drug resistance and lncRNA expression profiling can be correlated with the evolution of tumor drug resistance. The long non-coding-RNA-mediated form of drug resistance brings yet another mechanism of drug resistance. So, exploiting the newly emerging knowledge of lncRNAs for the development of new therapeutic applications to overcome human tumor drug resistance will be significant. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Researcher | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 39% |
| Agricultural and Biological Sciences | 7 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
| Medicine and Dentistry | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 18% |
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 06 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Tumor Biology
#1,370
of 2,623 outputs
Outputs of similar age
#270,837
of 355,070 outputs
Outputs of similar age from Tumor Biology
#35
of 95 outputs
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