| Title |
Prognostic role of hypoxia-inducible factor-1 alpha expression in osteosarcoma: a meta-analysis
|
|---|---|
| Published in |
OncoTargets and therapy, March 2016
|
| DOI | 10.2147/ott.s95490 |
| Pubmed ID | |
| Authors |
Hai-Yong Ren, Yin-Hua Zhang, Heng-Yuan Li, Tao Xie, Ling-Ling Sun, Ting Zhu, Sheng-Dong Wang, Zhao-Ming Ye |
| Abstract |
Hypoxia-inducible factor-1α (HIF-1α) plays an important role in tumor progression and metastasis. A number of studies have investigated the association of HIF-1α with prognosis and clinicopathological characteristics of osteosarcoma but yielded inconsistent results. Systematic computerized searches were performed in PubMed, Embase, and Web of Science databases for relevant original articles. The pooled hazard ratios (HRs) and odds ratios (ORs) with corresponding confidence intervals (CIs) were calculated to assess the prognostic value of HIF-1α expression. The standard mean difference was used to analyze the continuous variable. Finally, nine studies comprising 486 patients were subjected to final analysis. Protein expression level of HIF-1α was found to be significantly related to overall survival (HR =3.0; 95% CI: 1.46-6.15), disease-free survival (HR =2.23; 95% CI: 1.26-3.92), pathologic grade (OR =21.33; 95% CI: 4.60-98.88), tumor stage (OR =10.29; 95% CI: 3.55-29.82), chemotherapy response (OR =9.68; 95% CI: 1.87-50.18), metastasis (OR =5.06; 95% CI: 2.87-8.92), and microvessel density (standard mean difference =2.83; 95% CI: 2.28-3.39). This meta-analysis revealed that overexpression of HIF-1α is a predictive factor of poor outcomes for osteosarcoma. HIF-1α appeared to play an important role in prognostic evaluation and may be a potential target in antitumoral therapy. |
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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 3 | 12% |
| Lecturer | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 42% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Immunology and Microbiology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unknown | 10 | 38% |
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 05 April 2016.
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#22,760,732
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Outputs from OncoTargets and therapy
#2,078
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#269,141
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Outputs of similar age from OncoTargets and therapy
#75
of 108 outputs
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