Hypoxia-Inducible Factor-1 Alpha C1772T Gene Polymorphism and Glioma Risk: A Hospital-Based Case–Control Study from China

HIF-1α rs11549465 C>T polymorphism contributes to increased cancer susceptibility: Evidence from 49 studies

HIF-1α (hypoxia-inducible factor-1α) is a transcriptional factor that participates in the regulation of oxygen homeostasis. Despites numbers of case-control studies working on this area, the actual relationship of HIF-1α gene generic variant rs11549465 C>T imposing on cancer susceptibility remains unveiled. To get a better understanding of such relationship, this meta-analysis was carried out by incorporating all eligible case-control studies. Qualified articles were acquired from PubMed, CNKI, EMBASE, PMC, and Wanfang database update to April 2019. Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were employed to estimate the relationship of interest. Heterogeneity tests, sensitivity analyses and publication bias assessments were also carried out to ensure the strength of our conclusion. A total of 46 articles with 49 studies including 12920 cases and 13363 controls were included. The results indicated that HIF-1α rs11549465 C>T was significantly related to the increased risk of overall cancer under four genetic models (TT vs. CC: OR=2.06, 95% CI=1.34-3.16; TT vs. CC/CT: OR=2.42, 95% CI=1.60-3.65; CT/TT vs. CC: OR=1.21, 95% CI=1.04-1.40; T vs. C: OR=1.29, 95% CI=1.12-1.48). Furthermore, enhanced cancer risk was detected after stratification by cancer type, ethnicity, the source of controls and HWE. These results suggest that HIF-1α rs11549465 C>T polymorphism may predispose to cancer susceptibility.

HIF1A gene polymorphisms and human diseases: Graphical review of 97 association studies

Hypoxia-inducible factors (HIFs) belong to a family of transcription factors (TF) responsive to a low O2 availability, which is often a characteristic feature of solid tumors. The alpha subunit of the HIF heterodimer is O2 -sensitive, and once stabilized in hypoxia, it functions as a master regulator of various genes involved in hypoxia pathway. Changes in the HIF1A (hypoxia inducible factor 1, alpha subunit) nucleotide sequence or expression has been shown to be associated with the development of several diseases. Because of increasing research interest in HIF1A gene a review of association studies was needed. We here reviewed published data on single nucleotide polymorphisms (SNPs) in HIF1A in various diseases; in total, 34 SNPs were tested for an association with 49 phenotypes, and the results were visualized using the Cytoscape software. Among all collected polymorphisms 16 SNPs showed significant associations with 40 different phenotypes, including six SNPs associated with 14 cancer types. Missense SNPs (rs11549465 and rs11549467) within the oxygen-dependent degradation domain were most frequently studied. The study provides a comprehensive tool for researchers working in this area and may contribute to more accurate disease diagnosis and identification of therapeutic targets.

Advances in the targeting of HIF-1α and future therapeutic strategies for glioblastoma multiforme (Review)

Cell metabolism can be reprogrammed by tissue hypoxia leading to cell transformation and glioblastoma multiforme (GBM) progression. In response to hypoxia, GBM cells are able to express a transcription factor called hypoxia inducible factor-1 (HIF-1). HIF-1 belongs to a family of heterodimeric proteins that includes HIF-1α and HIF-1β subunits. HIF-1α has been reported to play a pivotal role in GBM development and progression. In the present review, we discuss the role of HIF-1α in glucose uptake, cancer proliferation, cell mobility and chemoresistance in GBM. Evidence from previous studies indicates that HIF-1α regulates angiogenesis, metabolic and transcriptional signaling pathways. Examples of such are the EGFR, PI3K/Akt and MAPK/ERK pathways. It affects cell migration and invasion by regulating glucose metabolism and growth in GBM cells. The present review focuses on the strategies through which to target HIF-1α and the related downstream genes highlighting their regulatory roles in angiogenesis, apoptosis, migration and glucose metabolism for the development of future GBM therapeutics. Combined treatment with inhibitors of HIF-1α and glycolysis may enhance antitumor effects in clinical settings.

No association of hypoxia inducible factor-1α gene polymorphisms with breast cancer in North-West Indians

BACKGROUND

Hypoxia inducible factor-1 alpha (HIF-1α) is the key regulator of cellular responses to hypoxia and plays a central role in tumour growth. Presence of Single nucleotide polymorphisms (SNPs) in the critical regulatory domains of HIF-1α may result in the overexpression of the protein and subsequent changes in the expression of the downstream target genes. The aim of study was to investigate the association of three SNPs (g.C111A, g.C1772T and g.G1790A) of HIF-1α with the risk of breast cancer in North Indian sporadic breast cancer patients.

MATERIALS AND METHODS

A total of 400 subjects, including 200 healthy controls and 200 patients with breast cancer were recruited in this study. Genotypes were determined using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.

RESULTS

The CC and CA genotype frequency of HIF-1α g.C111A polymorphism was 100 vs 99% and 0 vs 1% in breast cancer patients and healthy controls respectively. The frequencies of CC, CT and TT genotype of g.C1772T polymorphism were 76 vs 74.5%, 19 vs 21% and 5 vs 4.5% in breast cancer patients and control individuals respectively. There was no significant difference in genotype and allele frequencies of HIF-1α g.C1772T polymorphism between cases and control individuals (p>0.05). For g.G1790A genotypes, all patients and controls had only GG genotype.

CONCLUSIONS

The three HIF-1α polymorphisms (g.C111A, g.C1772T and g.G1790A) are not associated with breast cancer risk in North-West Indian patients.

Association between HIF-1α C1772T/G1790A polymorphisms and cancer susceptibility: an updated systematic review and meta-analysis based on 40 case-control studies

Background

HIF-1 (hypoxia-inducible factor 1) is a transcriptional activator that functions as a critical regulator of oxygen homeostasis. Recently, a large number of epidemiological studies have investigated the relationship between HIF-1α C1772T/G1790A polymorphisms and cancer susceptibility. However, the results remain inconclusive. Therefore, we performed a meta-analysis on all of the available case-control studies to systematically summarize the possible association.

Methods

A literature search was performed using PubMed and the Web of Science database to obtain relevant published studies. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for the relationship between HIF-1α C1772T/G1790A polymorphisms and cancer susceptibility were calculated using fixed- and random-effects models when appropriate. Heterogeneity tests, sensitivity analyses and publication bias assessments were also performed in our meta-analysis.

Results

A total of 40 studies met the inclusion criteria were included in the meta-analysis: 40 studies comprised of 10869 cases and 14289 controls for the HIF-1α C1772T polymorphism and 30 studies comprised of 7117 cases and 10442 controls for the HIF-1α G1790A polymorphism. The results demonstrated that there were significant association between the HIF-1α C1772T polymorphism and cancer susceptibility under four genetic models (TT vs. CC: OR = 1.63, 95% CI = 1.02-2.60; CT + TT vs. CC: OR = 1.15, 95% CI = 1.01-1.34; TT vs. CT + CC: OR = 2.11, 95% CI = 1.32-3.77; T vs. C: OR = 1.21, 95% CI = 1.04-1.41). Similarly, the statistically significant association between the HIF-1α G1790A polymorphism and cancer susceptibility was found to be consistently strong in all of the genetic models. Moreover, increased cancer risk was observed when the data were stratified by cancer type, ethnicity and the source of controls.

Conclusions

This meta-analysis demonstrates that both the C1772T and G1790A polymorphisms in the HIF-1α gene likely contribute to increased cancer susceptibility, especially in the Asian population and in breast cancer, lung cancer, pancreatic cancer and oral cancer. However, further research is necessary to evaluate the relationship between these polymorphisms and cancer risk.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2407-14-950) contains supplementary material, which is available to authorized users.

Associations between C1772T polymorphism in hypoxia-inducible factor-1α gene and breast cancer: a meta-analysis

Background

A meta-analysis was performed to estimate the association between HIF-1α polymorphism (C1772T) and breast cancer risk.

Material/Methods

The relevant published literature was retrieved from PubMed, Web of Knowledge, and Embase. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the associations.

Results

Six case-control studies, including 2043 cases and 2146 controls were identified. Meta-analysis showed that there was no marked association between C1772T polymorphism and breast cancer risk in the overall population in the dominant model. The subgroup analysis showed an increased breast cancer risk in Asians based on homozygote comparison and the recessive model. There were no associations between C1772T polymorphism with clinicopathological parameters and habits.

Conclusions

The present meta-analysis suggests that HIF-1α C1772T polymorphism is a risk factor for susceptibility to breast cancer in Asians.

Hypoxia-inducible factor-1α C1772T polymorphism and cancer risk: a meta-analysis including 18,334 subjects

Studies on HIF 1α C1772T (P582S) polymorphism revealed a genetic susceptibility to malignant tumors, however, the results were conflicting. We conducted a meta-analysis utilizing 29 eligible case-control studies to analyze the data concerning the association between the HIF-1α C1772T polymorphism and cancer risks. There was statistical association between the HIF-1α CT/TT genotype and cancer risk (OR = 1.28, 95% CI = 1.06-1.54, P(heterogeneity) < .00001). The stability of these observations was confirmed by a one-way sensitivity analysis. Our findings suggested that CT/TT genotype was associated with increased risks of prostate cancer. Besides, the HIF-1α C1772T polymorphism most likely contributes to susceptibility to malignant tumors, especially in American population.

Hypoxia-inducible factor-1α (HIF-1α) C1772T polymorphism significantly contributes to the risk of malignancy from a meta-analysis

Although the association between hypoxia-inducible factor-1α (HIF-1α) C1772T polymorphism and risk of malignancy has been widely studied, results from published studies remained controversial. Therefore, the relationship between them was further assessed in this meta-analysis. The databases of PubMed, Embase, and Wanfang were searched, and odds ratio with 95% confidence interval (OR and 95% CI) were used to assess the strength of the association. A total of 38 case-control studies with 23,876 participants were included. Overall, the T allele of HIF-1α C1772T was significantly associated with increased risk of malignancy development (OR and 95% CI 1.18 (1.00-1.38), P = 0.048 for T carriers vs. CC; 1.22 (1.05-1.41), P = 0.010 for T carriers vs. C carriers). When subgroup analyses were conducted, T allele was further found to be associated with increased risk of malignancy development for Asians rather than Caucasians (OR and 95% CI 1.36 (1.10-1.67), P = 0.004 for Asians) and for population-based studies (OR and 95% CI 1.19 (1.01-1.41), P = 0.040). Between-study heterogeneity existed in genetic comparison models, and meta-regression indicated that the participants' ethnicities and types of malignancy might be the sources of heterogeneity. No publication bias was found. In conclusion, this study indicated that HIF-1α C1772T polymorphism was significantly associated with increased risk of malignancy development for Asians. More studies were further required to focus on the relationship between HIF-1α C1772T polymorphism and risk of a specific type of tumor.

The association between hypoxia-inducible factor-1 α gene C1772T polymorphism and cancer risk: a meta-analysis of 37 case-control studies

Background

The possible association between HIF-1α C1772T polymorphism and cancer risk has been studied extensively. However, the results were controversial. In order to get a more precise conclusion of this association, a meta-analysis was performed.

Methods

A total of 10186 cases and 10926 controls in 37 case-control studies were included in this meta-analysis. Allele and genotypic differences between cases and controls were evaluated. Subgroup analysis by cancer site, ethnicity, source of controls and gender was performed.

Results

The T allele of HIF-1α gene C1772T was significantly associated with increased cancer risk in three genetic models: TT+CT vs.CC (dominant model OR=1.23, 95%CI=1.03-1.47), TT vs. CT+CC (recessive model OR=2.51, 95%CI=1.54-4.09), TT vs. CC (homozygote comparison OR=2.02, 95%CI=1.21-3.39).In subgroup analysis, the frequency of the T variant was found to be significantly increased in cervical cancer, pancreatic cancer, head and neck cancer, renal cell carcinoma, Asian and female subgroups.

Conclusions

Our meta-analysis suggests that the substitution of C allele with T at HIF-1α gene C1772T polymorphism is a risk factor of cancer, especially for cervical, head and neck cancer, pancreatic cancer and renal cell carcinoma. It is also a risk factor of cancer in Asian group as well as in female group.

HIF-1α 1772 C/T and 1790 G/A polymorphisms are significantly associated with higher cancer risk: an updated meta-analysis from 34 case-control studies

Background

HIF-1 activates various genes in cancer progression and metastasis. HIF-1α 1772 C/T and 1790 G/A polymorphisms are reportedly associated with cancer risk; however, the results are inconclusive.

Methodology/Principal Findings

A meta-analysis of 34 studies that involved 7522 cases and 9847 controls for 1772 C/T and 24 studies that involved 4884 cases and 8154 controls for 1790 G/A was conducted to identify the association of C/T and G/A polymorphisms with cancer risk. Odds ratio (OR) and 95% confidence intervals (95% CI) were used to assess the strength of association.

HIF-1α 1772 C/T and 1790 G/A polymorphisms were associated with higher cancer risk in homozygote comparison (1772C/T: TT vs. CC: OR = 2.45, 95% CI: 1.52, 3.96; P_{heterogeneity} = 0.028; 1790G/A: AA vs. GG: OR=4.74, 95% CI: 1.78, 12.6; P_{heterogeneity} < 0.01), dominant model (1772C/T: TT/CT vs. CC: OR = 1.27, 95% CI: 1.04, 1.55; P_{heterogeneity} < 0.01, 1790G/A: AA/GA vs. GG: OR = 1.65, 95% CI: 1.05, 2.60; P_{heterogeneity} < 0.01), T allele versus C allele (T vs. C: OR = 1.42, 95% CI: 1.18, 1.70; P_{heterogeneity} < 0.01), and A allele versus G allele (A vs. G: OR = 1.83, 95% CI: 1.13, 2.96; P_{heterogeneity} < 0.01). On a subgroup analysis, the 1772 C/T polymorphism was significantly linked to higher risks for breast cancer, lung cancer, prostate cancer, and cervical cancer, whereas the 1790 G/A polymorphism was significantly linked to higher risks for lung cancer and prostate cancer. A significantly increased cancer risk was found in both Asians and Caucasians for 1772C/T polymorphism, whereas a significantly increased cancer risk was found in Caucasians in the heterozygote comparison and recessive model for 1790G/A polymorphism.

Conclusions

HIF-1α 1772 C/T and 1790 G/A polymorphisms are significantly associated with higher cancer risk.

The association between HIF-1α polymorphism and cancer risk: a systematic review and meta-analysis

Epidemiological studies have assessed the association between HIF-1α polymorphisms and cancer risk. However, the results remained conflicting rather than conclusive. Therefore, we performed a systematic review to provide a complete picture and conducted a meta-analysis to derive a precise estimation. We searched PubMed, Embase, and China National Knowledge Infrastructure (CNKI) databases until July 2013 to identify eligible studies. Data sets (43) from 39 studies with a total of 10,841 cases and 14,682 controls were included. The most commonly investigated polymorphism was C1772T, followed by G1790A, C111A, and rs2057482. Overall, C1772T and G1790A but not rs2057482 were associated with increased risk for cancer. When stratified by cancer type, C1772T was associated with increased risk for cervical cancer (T/T vs. C/T+C/C: OR = 8.80, 95 % CI = 2.30-33.70), prostate cancer (T vs. C: OR = 1.54, 95 % CI = 1.04-2.30), and other cancers (T vs. C: OR = 1.42, 95 % CI = 1.07-1.89), but not oral, breast, colorectal, endometrial, lung, and bladder cancers or renal cell carcinoma. G1790A was associated with marginal but insignificant risk for prostate cancer (A vs. G: OR = 1.46, 95 % CI = 1.00-2.13, P = 0.056) and with increased risk for oral (A vs. G: OR = 9.66, 95 % CI = 1.31-71.15), lung (A vs. G: OR = 2.27, 95 % CI = 1.74-2.96), and other cancers (A vs. G: OR = 2.06, 95 % CI = 1.26-3.37) and renal cell carcinoma (A/A vs. G/A+G/G: OR = 3.05, 95 % CI = 1.36-6.84), but not breast, colorectal, cervical, or bladder cancer. Furthermore, we detected increased cancer risk in haplotypes TA and CA and in those carrying at least one risk allele, and decreased cancer risk in haplotype TG regarding C1772T and G1790A polymorphisms. Further well-designed studies on various cancer types are warranted to verify our findings.

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

The associations between hypoxia-inducible factor-1 alpha (HIF-1α) and clinicopathological characteristics of cancers have been evaluated in various studies, with the conflicting results. Therefore, we conducted a meta-analysis by combining available data to derive a more precise estimation of the association. PubMed, Embase, and China National Knowledge Infrastructure (CNKI) were searched until February 2013 to identify eligible studies. A total of 25 studies were included, with all studies investigating the role of HIF-1α C1772T polymorphism in clinicopathological parameters in cancers while 17 of them investigating HIF-1α G1790A polymorphism only. Results suggested that HIF-1α C1772T polymorphism was associated with histological grade of cancer (T/T + C/T vs. C/C, grade 3 vs. grade 2: OR = 1.51, 95% CI = 1.08-2.13; grade 2 vs. grade 1: OR = 0.67, 95% CI = 0.46-0.97) and increased risk of lymph node metastasis (T/T + C/T vs. C/C: OR = 1.38, 95% CI = 1.13-1.68). HIF-1α G1790A polymorphism was found to be associated with increased risk of larger tumor size (G/G + G/A vs. A/A: OR = 1.64, 95% CI = 1.04-2.58) and borderline significant risk of lymph node metastasis (G/G + G/A vs. A/A: OR = 1.33, 95% CI = 1.00-1.78). Therefore, HIF-1α polymorphisms could be a potential prognostic factor for cancer. Further studies with larger data set and well-designed models are required to validate our findings.

1790 G/A polymorphism, but not 1772 C/T polymorphism, is significantly associated with cancers: an update study

This study aimed to investigate the association between PASD8 gene and cancers. For 1772 C/T polymorphism (rs11549465), it included 5552 cases and 8044 controls, and for 1790 G/A (rs11549467), 3381 cases and 5830 controls. The allele-analysis results showed that 1772 C/T (rs11549465) was significantly associated with cancers (OR: 1.177, 95% CI: 1.011-1.369, p=0.035). And results of genotype-analysis indicated that 1790 G/A (rs11549467) had a significant relationship with cancers. (OR: 0.736, 95% CI: 0.595-0.910, p=0.005). For 1790 G/A (rs11549467), the association was significant when subdivided by different kinds of cancers. And no association existed when subdivided into population-type subgroups. In conclusion, PASD8 gene played an important role in the development of cancers.

A functional polymorphism in the epidermal growth factor gene is associated with risk for glioma in a Chinese population

Epidermal growth factor (EGF) plays a key role in survival of neural and glial precursor cells. A single nucleotide polymorphism of the EGF gene +61G/A in the 5'-untranslated region has been reported to be associated with susceptibility to glioma. The purpose of this study was to investigate the potential association between EGF +61G/A and brain glioma in a Chinese population. A case-control study involving 180 patients with glioma and 360 controls was done. Polymerase chain reaction restriction fragment-length polymorphism assay was used to analyze the EGF +61G/A genotypes. Patients with glioma had a significantly higher frequency of AA genotype (odds ratio, 2.25; 95% confidence interval, 1.20, 4.21; p=0.01] than controls. When stratified by histologic features and World Health Organization grade of glioma, distribution of each genotype did not significantly differ. Our data suggested that the EGF +61G AA genotype was associated with a higher glioma risk in a Chinese population. This finding is in contrast with previous studies that reported the G allele as a risk factor for glioma in white patients.