Clinicopathological significance of hypoxia-inducible factor-1 alpha polymorphisms in cancers: evidence from a meta-analysis

Tumor Biology ◽  
2013 ◽  
Vol 34 (5) ◽  
pp. 2477-2487 ◽  
Author(s):  
Xin Hu ◽  
Sen Lin ◽  
Jun Zheng ◽  
Rui Guo ◽  
Hao Li ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Hypoxia Inducible Factor 1 ◽  
Clinicopathological Significance

scholarly journals Multi-Omic Meta-Analysis of Transcriptomes and the Bibliome Uncovers Novel Hypoxia-Inducible Genes

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 582
Author(s):  
Yoko Ono ◽  
Hidemasa Bono
Keyword(s):  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Data Driven ◽  
Similarity Coefficients ◽  
Hypoxia Inducible Factor 1 ◽  
Response System ◽  
Inducible Genes ◽  
The Relationship ◽  
G Protein Coupled ◽  
Sufficient Oxygen

Hypoxia is a condition in which cells, tissues, or organisms are deprived of sufficient oxygen supply. Aerobic organisms have a hypoxic response system, represented by hypoxia-inducible factor 1-α (HIF1A), to adapt to this condition. Due to publication bias, there has been little focus on genes other than well-known signature hypoxia-inducible genes. Therefore, in this study, we performed a meta-analysis to identify novel hypoxia-inducible genes. We searched publicly available transcriptome databases to obtain hypoxia-related experimental data, retrieved the metadata, and manually curated it. We selected the genes that are differentially expressed by hypoxic stimulation, and evaluated their relevance in hypoxia by performing enrichment analyses. Next, we performed a bibliometric analysis using gene2pubmed data to examine genes that have not been well studied in relation to hypoxia. Gene2pubmed data provides information about the relationship between genes and publications. We calculated and evaluated the number of reports and similarity coefficients of each gene to HIF1A, which is a representative gene in hypoxia studies. In this data-driven study, we report that several genes that were not known to be associated with hypoxia, including the G protein-coupled receptor 146 gene, are upregulated by hypoxic stimulation.

scholarly journals Prognostic role of hypoxia-inducible factor-1 alpha expression in osteosarcoma: a meta-analysis

2016 ◽  
pp. 1477 ◽  
Author(s):  
Hai-Yong Ren ◽  
Heng Yuan Li ◽  
Tao Xie ◽  
Ling Ling Sun ◽  
Ting Zhu ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Prognostic Role ◽  
Hypoxia Inducible Factor 1

scholarly journals Hypoxia-Inducible Factor-1 Expression Predicts Osteosarcoma Patients’ Survival: A Meta-Analysis

2016 ◽  
Vol 31 (3) ◽  
pp. 229-234 ◽  
Author(s):  
Yurong Ouyang ◽  
Hui Li ◽  
Jie Bu ◽  
Xiaoyang Li ◽  
Zhuoyuan Chen ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Disease Free Survival ◽  
Free Survival ◽  
Hypoxia Inducible Factor 1 ◽  
Proliferation And Metastasis ◽  
Primary Bone ◽  
The Stability ◽  
High Level

Osteosarcoma, the most common primary bone malignancy, is characterized by easily relapsing and metastasizing. Hypoxia-inducible factor-1 (HIF-1) plays an essential role in tumorigenesis, affecting tumor metabolism, differentiation, angiogenesis, proliferation and metastasis, and has been found to be associated with survival in patients with osteosarcoma. The possible prognostic value of HIF-1 was investigated in many studies, but the results were inconsistent. We therefore conducted a meta-analysis to elucidate the correlation of HIF-1 expression, analyzed by immunohistochemistry in osteosarcoma tissues, with prognosis. The association degree was assessed by calculation of the hazard ratio (HR) and risk ratio (RR) with corresponding 95% confidence intervals (CIs). Follow-up information was available for 486 patients from 7 studies. The results showed that high HIF-1 expression was associated with a worse prognosis when compared to low or undetectable HIF-1 expression, with an HR of 3.67 (95% CI 2.24-5.99; p<0.001) for overall survival (OS) and an RR of 3.72 (95% CI 2.26-6.13; p<0.001) for OS. The RR of 2.55 for disease-free survival (DFS) did not show any obvious relationship between a high level of HIF-1 and DFS (95% CI 0.95-6.87; p = 0.064). The stability of this result was tested by sensitivity analysis and no significant change was detected. This meta-analysis suggests that HIF-1 is an effective prognostic biomarker to predict OS in patients with osteosarcoma.

scholarly journals The association between hypoxia inducible factor 1 subunit alpha gene rs2057482 polymorphism and cancer risk: a meta-analysis

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Li-Fang Wu ◽  
Gui-Ping Xu ◽  
Qing Zhao ◽  
Li-Jing Zhou ◽  
Ding Wang ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Asian Population ◽  
Hypoxia Inducible Factor 1 ◽  
Genotype Frequencies ◽  
Cancer Types ◽  
Alpha Gene ◽  
Epidemiology Studies ◽  
Stratified Analysis

Abstract Background The rs2057482 polymorphism in the hypoxia inducible factor 1 subunit alpha (HIF1A) gene has been reported to be associated with a risk of several types of cancer, but this association has not yet been definitively confirmed. We performed this meta-analysis to determine whether rs2057482 is associated with overall cancer risk. Methods The PubMed, Embase, and Web of Science databases were searched for the potential studies about the association between the rs2057482 and cancer risk. The data of genotype frequencies in cases with cancer and controls were extracted from the selected studies. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were calculated to determine the strength of the associations. Results The meta-analysis showed an association between the rs2057482 polymorphism and overall cancer risk. However, a stratified analysis of ethnicity did not show any significant association between rs2057482 and cancer risk in the Asian population. Conclusions The rs2057482 polymorphism was associated with decreased overall cancer risk, based on the currently available studies. However, this conclusion needs verification by further well-designed epidemiology studies that examine different cancer types and more subjects.

Clinicopathological significance of hypoxia-inducible factor-1 alpha (HIF-1α) expression in gastric cancer

2012 ◽  
Vol 18 (2) ◽  
pp. 293-304 ◽  
Author(s):  
Taro Isobe ◽  
Keishiro Aoyagi ◽  
Kikuo Koufuji ◽  
Kazuo Shirouzu ◽  
Akihiro Kawahara ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Hypoxia Inducible Factor ◽  
Hypoxia Inducible Factor 1 ◽  
Clinicopathological Significance

scholarly journals Multi-omic meta-analysis of transcriptomes and the bibliome uncovers GPR146 as the novel hypoxia-inducible gene

2021 ◽  
Author(s):  
Yoko Ono ◽  
Hidemasa Bono
Keyword(s):  
Meta Analysis ◽  
Hypoxia Inducible Factor ◽  
Enrichment Analysis ◽  
The Novel ◽  
Hypoxia Inducible Factor 1 ◽  
Response System ◽  
The Relationship ◽  
G Protein Coupled ◽  
Inducible Gene ◽  
Sufficient Oxygen

Hypoxia is a condition in which cells, tissues, or organisms are deprived of sufficient oxygen supply. Aerobic organisms have the hypoxic response system, represented by hypoxia-inducible factor 1-α (HIF1A), to avoid this condition. Because of publication bias, the genes other than well-known signature hypoxia-stimulating genes may not be focused. Therefore, in this study, we performed meta-analysis to identify novel hypoxia-responsive genes. We searched publicly available transcriptome databases to obtain hypoxia-related experimental data, retrieved the metadata, and manually curated it. We selected the genes that are differentially expressed by hypoxic stimulation, and evaluated their relevance in hypoxia by performing enrichment analyses. We then calculated the number of reports and similarity coefficient of each gene for HIF1A (surrogate for hypoxia) using gene2pubmed that provides information about the relationship between gene and publication. Enrichment analysis confirmed that the selected genes were related to hypoxic stimulation, as expected. We then performed gene2pubmed analysis to investigate the genes that had not been fully studied under hypoxia. In this data-driven study, we report that the G protein-coupled receptor 146 gene is upregulated by hypoxic stimulation.

Sign in / Sign up

Export Citation Format

Share Document