| Title |
Expression profiles of long noncoding RNAs in lung adenocarcinoma
|
|---|---|
| Published in |
OncoTargets and therapy, September 2018
|
| DOI | 10.2147/ott.s167633 |
| Pubmed ID | |
| Authors |
Bing Zhao, Hang Xu, Xiaoye Ai, Yasheng Adalat, Ying Tong, Jiazhennan Zhang, Shune Yang |
| Abstract |
This study aimed to analyze expression profiles of long noncoding RNAs (lncRNAs) in lung adenocarcinoma. lncRNA microarray technology was employed to detect lncRNA profiles of 3 pairs of lung adenocarcinoma tissues and adjacent tissues. We found 134 upregulated lncRNAs and 460 downregulated lncRNAs in lung adenocarcinoma tissues compared to adjacent tissues. Among them, LINC00152, LINC00691, and LINC00578 showed the most significant changes of upregulation, while LINC00668, LINC00710, and LINC00607 showed the most significant changes of downregulation. Fluorescent quantitative polymerase chain reaction (PCR) analysis of tissue samples from an additional 90 patients with lung adenocarcinoma showed significantly increased levels of LINC00152, LINC00691, and LINC00578 and decreased levels of LINC00668, LINC00710, and LINC00607 in lung adenocarcinoma tissues. In addition, LINC00578 was closely associated with the existence of metastasis of lung adenocarcinoma, but the other 5 lncRNAs showed no significant correlation with clinicopathologic characteristics such as age, gender, tumor stage, and the existence of metastasis. Further follow-up study showed that LINC00578 expression was closely associated with the survival of patients with lung adenocarcinoma. We revealed the expression profiles of lncRNAs in lung adenocarcinoma and identified LINC00578 as a promising biomarker and therapeutic target for lung adenocarcinoma. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Bachelor | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Agricultural and Biological Sciences | 2 | 18% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 5 | 45% |
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 21 September 2018.
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#22,867,974
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Outputs from OncoTargets and therapy
#2,088
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#303,005
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Outputs of similar age from OncoTargets and therapy
#103
of 147 outputs
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