| Title |
Prognostic role of long non-coding RNA HNF1A-AS1 in Chinese cancer patients: a meta-analysis
|
|---|---|
| Published in |
OncoTargets and therapy, August 2018
|
| DOI | 10.2147/ott.s163575 |
| Pubmed ID | |
| Authors |
Chunbo Zhuang, Lei Zheng, Pei Wang |
| Abstract |
Long non-coding RNAs (LncRNAs) play important roles in tumorigenesis and progression. Recent studies have demonstrated that LncRNA HNF1A antisense RNA 1 (HNF1A-AS1) is aberrantly expressed in several types of cancers and is associated with poor outcomes. This meta-analysis was conducted to investigate the relationship between HNF1A-AS1 expression and clinical outcomes in cancer patients. We searched PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wan Fang databases (updated until December 31, 2017) for literature. A total of eight studies with 789 cancer patients were finally included in the present meta-analysis. The results showed that high expression of HNF1A-AS1 significantly predicted poor overall survival (HR=3.10, 95% CI: 1.58-6.11, P=0.001), which was further validated using The Cancer Genome Atlas (TCGA) dataset. Moreover, high HNF1A-AS1 expression was also associated with advanced TNM stage (OR=3.32, 95% CI: 2.28-4.83, P<0.001), lymph node metastasis (OR=3.08, 95% CI: 1.95-4.85, P<0.001), and distant metastasis (OR=5.53, 95% CI: 1.94-15.77, P=0.001). Our results suggested that elevated HNF1A-AS1 was associated with poor clinical outcomes and might serve as a potential prognostic biomarker of cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 33% |
| Engineering | 1 | 17% |
| Unknown | 3 | 50% |
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 15 September 2018.
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#20,755,951
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Outputs from OncoTargets and therapy
#1,607
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Outputs of similar age from OncoTargets and therapy
#61
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