| Title |
Identification of androgen-responsive lncRNAs as diagnostic and prognostic markers for prostate cancer
|
|---|---|
| Published in |
Oncotarget, August 2016
|
| DOI | 10.18632/oncotarget.11391 |
| Pubmed ID | |
| Authors |
Xuechao Wan, Wenhua Huang, Shu Yang, Yalong Zhang, Honglei Pu, Fangqiu Fu, Yan Huang, Hai Wu, Tao Li, Yao Li |
| Abstract |
Prostate cancer (PCa) is a leading cause of mortality among males. Long non-coding RNAs (lncRNAs) are subclass of noncoding RNAs that may act as biomarkers and therapeutic targets. In this study, we firstly conducted analysis of global lncRNA expression patterns by using our own cohort (GSE73397) and two public available gene expression datasets: The Cancer Genome Atlas (TCGA) and GSE55909. Next, we performed microarray to observe genome-wide lncRNAs' expressions under dihydrotestosterone (DHT) stimulation in LNCaP cells (GSE72866), and overlapped the result with ChIPBase data to predict androgen-responsive lncRNAs with ARE. Combined the two results, a total of 44 androgen-responsive lncRNAs with ARE were found to be over-expressed in PCa samples. Ten lncRNAs were selected for further validation by examining their expressions in LNCaP cells under DHT stimulation, and in PCa samples and cell lines. Among them, RP1-4514.2, LINC01138, SUZ12P1 and KLKP1 were validated as directly AR-targeted lncRNAs by ChIP-PCR. Then we conducted a bioinformatic analysis to identify lncRNAs as putative prognostic and therapeutic targets by using TCGA data. Three androgen-responsive lncRNAs, LINC01138, SUZ12P1 and SNHG1 showed association with gleason score and pT-stage. The biological functions of LINC01138 and SUZ12P1 were also evaluated, both lncRNAs promoted the proliferation and inhibited apoptosis of PCa. These results provide potent information for exploring potential biomarkers and therapeutic targets for prostate cancer, especially for castration-resistant PCa. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Researcher | 3 | 10% |
| Other | 2 | 7% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Medicine and Dentistry | 5 | 17% |
| Agricultural and Biological Sciences | 3 | 10% |
| Neuroscience | 2 | 7% |
| Computer Science | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 August 2016.
All research outputs
#14,858,374
of 22,883,326 outputs
Outputs from Oncotarget
#6,018
of 14,328 outputs
Outputs of similar age
#208,922
of 343,547 outputs
Outputs of similar age from Oncotarget
#479
of 1,274 outputs
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