| Title |
Hypoxia inducible factor: a potential prognostic biomarker in oral squamous cell carcinoma
|
|---|---|
| Published in |
Tumor Biology, February 2016
|
| DOI | 10.1007/s13277-016-4976-3 |
| Pubmed ID | |
| Authors |
Jiang Qian, Xu Wenguang, Wang Zhiyong, Zou Yuntao, Han Wei |
| Abstract |
Oral squamous cell carcinoma (OSCC) is the most common oral cancer. Hypoxia inducible factor (HIF) is involved in many malignant tumors' growth and metastasis and upregulated by hypoxia, including oral cancer. Many studies have studied about the prognostic value of HIF expression in OSCC; however, they do not get the consistent results. Therefore, this study explored the correlation between the HIF expression and the prognosis of OSCC. It conducted a meta-analysis of relevant publications searched in the Web of Science, PubMed, and ISI Web of Knowledge databases. Totally, this study identified 12 relevant articles reporting a total of 1112 patients. This analysis revealed a significant association between increased risk of mortality (RR = 1.20; 95 % CI 0.74-1.95; I (2) 85.4 %) and overexpression of HIFs. Furthermore, different HIF isoforms were associated with overall survival [HIF-1α (RR = 1.18; 95 % CI 0.66-2.11; I (2) 87.2 %) and HIF-2α (RR = 1.40; 95 % CI 0.93-2.09; I(2) 0.0 %)]. These results show that overexpression of HIFs, regardless of whether the HIF-1α or HIF-2α isoforms are overexpressed is significantly associated with increased risk of mortality in OSCC patients. In this study, the funnel is symmetric, suggesting existed no publication bias. |
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 % |
|---|---|---|
| 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Other | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 41% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Agricultural and Biological Sciences | 1 | 5% |
| Mathematics | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 23% |
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 17 October 2016.
All research outputs
#14,837,567
of 22,849,304 outputs
Outputs from Tumor Biology
#969
of 2,622 outputs
Outputs of similar age
#225,761
of 403,162 outputs
Outputs of similar age from Tumor Biology
#30
of 161 outputs
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