Meta-Analysis Open Access
Copyright ©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Feb 7, 2015; 21(5): 1641-1649
Published online Feb 7, 2015. doi: 10.3748/wjg.v21.i5.1641
HIF-1α -1790G>A polymorphism significantly increases the risk of digestive tract cancer: A meta-analysis
Xiao Sun, Wei Gao, Shao-Hua Shen, Meng Li, Department of Gastroenterology of PLA General Hospital, Beijing 100853, China
Ying-Di Liu, Department of Gastroenterology, Hainan Branch of PLA General Hospital, Sanya 572000, Hainan Province, China
Author contributions: Sun X, Liu YD and Gao W designed the study, analyzed the data and wrote the manuscript; Shen SH and Li M contributed to the databases searches, the selection of studies and discussions; Liu YD designed the study, contributed to the discussion and edited the manuscript as the corresponding author.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Ying-Di Liu, MD, PhD, Department of Gastroenterology, Hainan Branch of PLA General Hospital, Haitangwan, Sanya 572000, Hainan Province, China. liuyingti@yeah.net
Telephone: +86-751-38831528 Fax: +86-898-38853390
Received: June 26, 2014
Peer-review started: June 27, 2014
First decision: August 15, 2014
Revised: August 27, 2014
Accepted: September 30, 2014
Article in press: September 30, 2014
Published online: February 7, 2015
Processing time: 227 Days and 23.4 Hours

Abstract

AIM: To investigate the association between hypoxia-inducible factor-1α (HIF-1α) polymorphisms (-1772C>T and -1790G>A) and the risk of digestive tract cancer.

METHODS: A total of 13 eligible studies were retrieved from PubMed, EMBASE, and the China National Knowledge Infrastructure database. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the associations.

RESULTS: By pooling the eligible studies, we found that the HIF-1α -1772C>T polymorphism was not associated with the risk of developing digestive tract cancer (dominant comparison, OR: 1.156; 95%CI: 0.839-1.593; Pheterogeneity = 0.007), and no significant association was found in the Asian population or the Caucasian population. However, for the -1790G>A polymorphism, carriers of the variant -1790A allele had a significantly increased risk of digestive tract cancer compared with those with the wildtype -1790G allele (dominant comparison, OR: 3.252; 95%CI: 1.661-6.368; Pheterogeneity < 0.001). Additionally, this increased risk of digestive cancer was only detected in Asians; there was no significant association in Caucasians.

CONCLUSION: This meta-analysis demonstrates that the HIF-1α -1790G>A polymorphism is associated with a significantly increased risk of digestive tract cancer, while the -1772C>T polymorphism is not.

Key Words: Hypoxia-inducible factor-1α; Digestive tract cancer; Polymorphisms; Cancer risk; Meta-analysis

Core tip: The functional polymorphisms of hypoxia-inducible factor-1α (HIF-1α) (-1772C>T and -1790G>A) have been extensively investigated; however, the relationship between HIF-1α polymorphisms and digestive tract cancer has remained unclear. In this work, we found that the HIF-1α -1772C>T polymorphism was not associated with the overall risk of developing digestive tract cancer (dominant comparison, OR: 1.156; 95%CI: 0.839-1.593; Pheterogeneity = 0.007). However, the variant -1790A allele significantly increased the risk of digestive tract cancer (OR: 3.252; 95%CI: 1.661-6.368; Pheterogeneity < 0.001).



INTRODUCTION

Genetic polymorphisms are natural DNA sequence variations that occur in the healthy population with an expected frequency higher than 1%[1]. Common genetic polymorphisms include single nucleotide polymorphisms, insertions, deletions, minisatellites and microsatellites. Approximately 90% of DNA polymorphisms are single nucleotide polymorphisms (SNPs). Functional SNPs in gene regulatory or coding sequences can alter gene expression or affect the function of proteins. SNPs are associated with inter-individual variation and diversity and have recently been considered as principal genetic elements involved in the development of complex diseases, such as cancer[2].

Hypoxia-inducible factor-1 (HIF-1) is a transcription factor complex that activates gene transcription, enhancing oxygen availability and allowing metabolic adaptation to hypoxia[3]. HIF-1 is composed of two subunits, HIF-1α and HIF-1β. HIF-1α plays a critical role in adjusting oxygen levels, and it is involved in the processes of angiogenesis[4-6] and cell proliferation[7,8]. HIF-1α is expressed in many cancer cells as a result of oncogene expression and intratumoral hypoxia[9,10]. Furthermore, it has been demonstrated that HIF-1α is an unfavorable prognostic factor in a variety of digestive tract cancers, such as pancreatic cancer and hepatocellular carcinoma[11-13].

The HIF-1α gene is located on chromosome 14q21-24. Two common SNPs in the protein coding region of the HIF-1α gene have been widely investigated: the C-to-T substitution at -1772 (-1772C>T, P582S, or rs11549465) and the G-to-A substitution at -1790 (-1790G>A, A588T, or rs11549467). The -1772C>T polymorphism leads to a proline-to-serine substitution, and the -1790G>A polymorphism leads to an alanine-to-threonine substitution. Both the -1772C>T and -1790G>A polymorphisms are functional and located in the oxygen-dependent degradation domain, which is closely related to the N-terminal transactivation domain of HIF-1α[4,14]. Therefore, these functional SNPs may affect the stability and trans-activating capacity of HIF-1α. Additionally, evidence also suggests that these functional SNPs could alter the susceptibility to various types of cancer. However, current studies have yielded conflicting results about HIF-1α polymorphisms and the risk of developing cancer of the digestive tract. For example, Kang et al[15] found that the -1772C>T polymorphism was associated with an increased risk of colorectal cancer; however, Li et al[16] did not find any significant association with gastric cancer risk. Thus, this meta-analysis was performed to ascertain the relationship between the HIF-1α -1772C>T and -1790G>A polymorphisms and susceptibility to cancer of the digestive tract.

MATERIALS AND METHODS
Selection of eligible studies

The eligible studies were obtained by searching online databases. In order to identify as many related articles as possible, PubMed, EMBASE, and the China National Knowledge Infrastructure (CNKI) were searched. Combinations of medical subheadings and the key words “HIF-1α” or “hypoxia-inducible factor 1, α subunit” or “HIF1A” or “HIF-1α”, “polymorphism, single nucleotide” or “single nucleotide polymorphism” or “polymorphism” or “SNP”, and “neoplasms” or “cancer” or “tumor” were used to search the databases. Alternative spellings of these key words were also considered. The most recent research was performed on July 15, 2013, and there was no limitation on the research.

Inclusion and exclusion criteria

Studies were selected according to the following inclusion criteria: (1) case-control studies; (2) investigation of the association of HIF-1α polymorphisms (-1772C>T and -1790G>A) and the risk of developing digestive tract cancer; (3) cancer diagnosis by histopathology; and (4) studies providing detailed genotype frequencies. Studies without detailed genotype frequencies were excluded. The titles and abstracts of the records retrieved from the databases were screened, and the full-text papers were further evaluated to confirm eligibility. Two reviewers (Sun X and Liu YD) extracted the eligible studies independently according to the inclusion criteria. Disagreements between the two reviewers were discussed with another reviewer until a consensus was achieved.

Data extraction

Data from the eligible studies were independently extracted by the two reviewers using a predesigned data collection form. The following data were collected: name of first author, year of publication, country where the study was carried out, ethnicity, cancer types, the source of the controls, number of cases and controls, genotype frequency in the cases and controls. Ethnicity was categorized as Asian, Caucasian, or Latin American (Table 1). According to the source of control, the eligible studies were defined as hospital-based (HB) and population-based (PB). The sample size in the eligible studies was classified as either large (> 500) or small (< 500). Hardy-Weinberg equilibrium (HWE) in the controls was tested using the χ2 test for goodness of fit, and P < 0.05 was considered as the absence of HWE. Two reviewers reached consensus on each item.

Table 1 Baseline characteristics of eligible studies.
Ref.YearCountryEthnicityControlCancer typeSNPCasesControls
Alves et al[21]2012BrazilLatin AmericaHBOral cancerC1722T, G1790A4088
Ruiz-Tovar et al[22]2012SpainCaucasianPBPancreatic cancerC1722T, G1790A59159
Wang et al[7]2009ChinaAsianHBPancreatic cancerC1722T, G1790A263271
Kang et al[15]2011KoreaAsianHBColorectal cancerC1722T5050
Shieh et al[24]2010ChinaAsianHBOral cancerC1722T, G1790A30596
Hsiao et al[25]2010ChinaAsianHBHepatocellular carcinomaC1722T, G1790A102347
Knechtel et al[17]2010AustriaCaucasianHBColorectal cancerC1722T, G1790A3811209
Chen et al[26]2009ChinaAsianPBOral cancerC1722T, G1790A347174
Li et al[16]2009ChinaAsianHBGastric cancerC1722T, G1790A87106
Muñoz-Guerra et al[27]2009SpainCaucasianPBOral cancerC1722T, G1790A155139
Fransén et al[28]2006SwedenCaucasianHBColorectal cancerC1722T, G1790A198258
Ling et al[29]2005ChinaAsianPBEsophageal cancerC1722T95104
Kuwai et al[30]2004JapanAsianPBColorectal cancerC1722T100100
Statistical analysis

The strength of the association between the HIF-1α -1772C>T and -1790G>A polymorphisms and the risk of developing digestive tract cancer was measured by odds ratios (ORs) with 95% confidence intervals (CIs). The estimates of the pooled ORs were obtained by calculating a weighted average of the ORs from each study. A 95%CI was used for the test of statistical significance, and a 95%CI without an OR of 1 indicated a significantly increased or reduced cancer risk. The pooled ORs were calculated for allele comparison (A vs a), heterozygote comparison (Aa vs aa), and dominance modeling (AA/Aa vs aa) (A: the mutant allele, a: the wildtype allele; the -1772T and -1790A alleles were considered as mutant alleles). The combined genotype was reported by Kang et al[15] and Knechtel et al[17]; thus, only dominant comparison models were calculated for these 2 studies. Subgroup analyses were also conducted according to ethnicity, cancer type, source of control, and sample size. A sub-group analysis was not performed for subgroups containing less than 2 studies. Sensitivity analyses were performed to identify each individual study’s effect on the pooled results and test the reliability of the results.

The χ2 test based on Q was used to check the statistical heterogeneity between studies, and the heterogeneity was considered significant when P < 0.10. The fixed-effects model (based on the Mantel-Haenszel method) and random-effects model (based on the DerSimonian-Laird method) were used to pool the data from different studies. The fixed-effects model was used when there was no significant heterogeneity; otherwise, the random-effects model was applied[18]. Meta-regression was performed to detect the source of heterogeneity. Publication bias was detected by Begg’s funnel plot and Egger’s linear regression test, and a P < 0.05 was considered significant[19]. To test the influence of publication bias, the fail-safe number was also calculated for P = 0.05 (Nfs0.05) and P = 0.01 (Nfs0.01)[20]. All statistical analyses were calculated with STATA software version 10.0 (Stata Corp., College Station, TX, USA), and all P values are two-sided.

RESULTS
Overview of eligible studies

According to our search strategy, 558 records were retrieved and screened. After primary screening, 16 full-text papers were retrieved for further assessment of eligibility. Finally, 13[15-17,21-30] eligible studies were included and 3 studies were excluded because they were not related to cancer risk[31,32] or the HIF-1α -1772C>T and -1790G>A polymorphisms[33]. The procedure for study selection is shown in Figure 1.

Figure 1
Figure 1 Flow chart of study selection.

Of the 13 eligible studies, 2182 cancer patients and 3101 controls were enrolled. The baseline characteristics of the included studies are shown in Table 1. Six types of digestive tract cancer were investigated: oral cancer, esophageal cancer, gastric cancer, pancreatic cancer, hepatocellular carcinoma, and colorectal cancer. Most studies were carried out among Asian and Caucasian populations, while only one study was performed in Latin America. The -1772C>T polymorphism was investigated in all studies, and the -1790G>A polymorphism was studied in 10 studies[16,17,21-28]. For the -1772C>T polymorphism, the absence of HWE in controls was detected in 3 studies[21,22,27]; however, no disequilibrium was detected for the -1790G>A polymorphism. In the control population, homozygotes for the variant -1772TT were detected in 4 studies[20,23,26,27], while the -1790AA genotype was not detected among the cancer cases.

Meta-analysis results

-1772C>T polymorphism: By pooling all the eligible studies, we found that the -1772C>T polymorphism was not associated with the risk of digestive tract cancer in any of the three comparison models (dominant comparison, OR: 1.156; 95%CI: 0.839-1.593; Pheterogeneity = 0.007; Figure 2). The meta-analysis results for the -1772C>T polymorphism are shown in Table 2. Sub-group analyses were performed, and no significant association with the risk of digestive tract cancer was found among Asians or Caucasians in the HB studies. Because the data from 3 studies were not inconsistent with HWE, we performed sub-group analyses according to HWE, and no statistical association was found in any of the groups. In terms of cancer types, we found that only the variant -1772T allele was associated with a significantly increased risk of pancreatic cancer (OR: 1.753; 95%CI: 1.225-2.508; Pheterogeneity = 0.349), while no significant association was observed with oral cancer or colorectal cancer. Notably, sample size had a significant influence on the pooled results. As shown in Table 2, large studies suggested an increased risk, while small studies revealed no significant association.

Table 2 Meta-analysis results of -1772C>T polymorphism.
Dominant comparison
Allele comparison
Heterozygote comparison
OR (95%CI)PhetOR (95%CI)PhetOR (95%CI)Phet
Overall1.156 (0.839-1.593)0.0071.325 (0.846-2.076)< 0.0010.853 (0.502-1.450)< 0.001
Ethnicity
Caucasian1.053 (0.842-1.317)0.3811.075 (0.795-1.454)0.0110.459 (0.174-1.211)0.060
Asian1.302 (0.748-2.266)0.0071.169 (0.667-2.049)< 0.0011.132 (0.628-2.040)0.009
Source of control
HB1.314 (0.884-1.954)0.0141.661 (0.755-3.656)< 0.0011.153 (0.633-2.099)0.009
PB0.898 (0.498-1.620)0.0861.163 (0.698-1.938)0.0890.482 (0.166-1.405)0.004
Cancer types
OC1.063 (0.643-1.757)0.3042.517 (0.705-8.980)< 0.0010.917 (0.444-1.895)0.135
PC1.388 (0.542-3.555)0.0321.753 (1.225-2.508)10.3490.500 (0.018-14.015)0.001
CRC1.118 (0.573-2.182)0.0150.262 (0.011-6.380)0.0240.241 (0.011-5.509)0.027
HWE
No0.777 (0.466-1.296)0.8323.221 (0.673-15.414)< 0.0010.250 (0.051-1.211)0.139
Yes1.260 (0.873-1.818)0.0071.149 (0.723-1.826)0.0091.091 (0.660-1.803)0.005
Sample size
Small0.958 (0.621-1.479)0.0311.192 (0.680-2.089)< 0.0010.658 (0.362-1.197)0.007
Large1.569 (1.049-2.345)10.1251.983 (1.325-2.969)10.8671.994 (1.307-3.042)10.529
Figure 2
Figure 2 Forrest plot of the -1772C>T polymorphism and the risk of digestive tract cancer. 1Weights are from random effects analysis. Dominant comparison: TT + CT vs CC. OR: Odds ratio.

Begg’s funnel plot (P = 0.373; Figure 3) and Egger’s linear regression test (P = 0.813) suggested that no publication bias affected the results. A sensitivity analysis also confirmed the stability of our results because no individual study affected the pooled results significantly (Figure 4). Due to the significant heterogeneity among the studies, a meta-regression was performed to identify the source of heterogeneity (for the dominant model), and the results suggested that ethnicity (P = 0.021), sample size (P = 0.002), and HWE (P < 0.001) were the sources of heterogeneity between the studies.

Figure 3
Figure 3 Begg’s funnel plot with pseudo 95% confidence limits.
Figure 4
Figure 4 Meta-analysis estimates, with given named study omitted (A, B).

-1790G>A polymorphism: The results of the meta-analysis of the -1790G>A polymorphism are shown in Table 3. A pooled analysis of the 10 eligible studies revealed that the variant -1790A allele significantly increased the risk of digestive tract cancer, as observed in the dominant model (OR: 3.252; 95%CI: 1.661-6.368; Pheterogeneity < 0.001; Figure 5), the allele comparison (OR: 4.455; 95% CI: 1.938-10.241; Pheterogeneity < 0.001), and the heterozygote comparison. Next, stratified analyses were performed. As shown in Table 3, the source of controls and the sample size did have a significant effect on the results. However, we only found a significantly increased risk in Asians, not in Caucasians. In Asians, the -1790G>A polymorphism was associated with increased susceptibility to cancers of the digestive tract, while no significant association was observed in Caucasians. As for the cancer types, the -1790G>A polymorphism increased the risk of oral cancer and pancreatic cancer, but not the risk of colorectal cancer (Table 3).

Table 3 Meta-analysis results of -1790G>A polymorphism.
Dominant comparison
Allele comparison
Heterozygote comparison
OR (95%CI)PhetOR (95%CI)PhetOR (95%CI)Phet
Overall3.252 (1.661-6.368)1< 0.0014.455 (1.938-10.241)1< 0.0012.677 (1.677-4.273)1< 0.001
Ethnicity
Caucasian1.882 (0.627-5.644)< 0.0012.881 (0.943-8.807)0.0091.898 (0.411-8.761)0.002
Asian2.921 (1.909-4.470)10.1632.793 (1.877-4.158)10.1952.891 (1.890-4.422)10.165
Source of control
HB3.258 (1.331-7.977)1< 0.0014.904 (1.375-17.489)1< 0.0012.521 (1.526-4.167)10.094
PB3.516 (1.340-9.229)10.0263.923 (1.894-8.128)10.0842.729 (0.823-9.053)10.011
Cancer types
OC7.919 (1.582-39.636)1< 0.0019.663 (1.312-71.149)1< 0.0013.165 (1.264-7.924)10.019
PC2.499 (0.929-6.726)0.0983.030 (1.946-4.716)10.4181.611 (0.241-10.760)0.019
CRC0.971 (0.571-1.650)0.454
Sample size
Small4.127 (1.511-11.267)1< 0.0014.976 (1.457-16.996)1< 0.0012.351 (1.180-4.682)10.007
Large2.186 (0.863-5.537)0.0013.313 (2.214-4.959)10.9693.492 (2.298-5.307)10.690
Figure 5
Figure 5 Forrest plot of the -1790G>A polymorphism and the risk of digestive tract cancer. 1Weights are from random effects analysis. Dominant comparison: AA + GA vs GG.

The results of Begg’s test (P = 0.05) and Egger’s test (P = 0.064) indicated the presence of significant publication bias. Additionally, the stability of our results was confirmed by the sensitivity analysis (Figure 4B). The fail-safe number was calculated to estimate the influence of publication bias. The value of the fail-safe number was large (Nfs0.05 = 359.34, Nfs0.01 = 172.98), which suggested that the publication bias was low and our result was reliable. Due to the significant heterogeneity among the studies, a meta-regression was performed to identify the source of the heterogeneity (for the dominant model). The results suggested that sample size (P = 0.002) and HWE (P < 0.001) were the sources of heterogeneity between studies.

DISCUSSION

The results of the present meta-analysis suggest that the -1772C>T polymorphism of the HIF-1α gene is not associated with the risk of digestive tract cancer; however, the -1790G>A polymorphism significantly increases the susceptibility to digestive tract cancer.

HIF-1α is a critical gene involved in the cellular response to hypoxia. By activation of various genes that are related to the regulation of angiogenesis, cell survival, apoptosis, and the proliferative response, HIF-1α has an important role in tumor progression and metastasis[34,35]. In the presence of oxygen, HIF-1α is hydroxylated and degraded by the proteasome[36]; however, in a hypnotic microenvironment, the HIF-1α protein accumulates[37]. Studies have shown that HIF-1α is overexpressed in various digestive tract tumors, such as colon cancer, pancreatic cancer, stomach cancer, and esophageal cancer[9,38]. The functional -1772C>T and -1790G>A polymorphisms of HIF-1α are associated with an increased trans-activation capacity of HIF-1α under normoxic and hypoxic conditions[4]. Thus, these two SNPs may alter the risk of digestive tract cancer.

In this meta-analysis, we identified 13 eligible studies[15-17,21-30] and found that the -1772C>T polymorphism was not associated with the risk of digestive tract cancer. Stratified analyses according to ethnicity, source of controls, and HWE did not find any differences between the sub-groups. The results suggested that the -1772C>T did not alter the overall risk of developing digestive tract cancer. However, the results of this meta-analysis did reveal that the -1790G>A polymorphism was associated with a significantly increased risk of digestive tract cancer, and an elevated susceptibility to cancer was also observed in the majority of the sub-groups. Specifically, we found that Asian carriers of the variant -1790A allele had an increased risk compared with Caucasians. The difference between ethnicities may be explained by differences in the genetic background, lifestyle, and environmental exposure between the groups[39]. Additionally, the -1772C>T and -1790G>A polymorphisms had different impacts on the risk of developing a specific kind of cancer (Table 2 and Table 3), suggesting that HIF-1α polymorphisms may exert cancer type-specific effects.

Notably, significant heterogeneity was detected in this meta-analysis. Meta-regression and subgroup analyses were carried out to detect the source of this heterogeneity. For both -1772C>T and -1790G>A, ethnicity was the source of the heterogeneity. For -1772C>T, sample size and HWE also contributed to the observed heterogeneity. On the other hand, the sensitivity analysis confirmed the reliability and stability of our results. Additionally, no evidence of significant publication bias was not found by Egger’s test or Begg’s test.

While we were conducting this meta-analysis, an updated meta-analysis of HIF-1α polymorphisms was published[40]. Compared with the updated meta-analysis, we focused exclusively on digestive tract cancer and included more eligible studies related to this type of cancer; Liu and Zhang[40] only included studies before 2011. Because more eligible studies were included in our meta-analysis, we performed comprehensive sub-group analyses according to cancer type, sample size, HWE, and ethnicity. However, limitations of our meta-analysis should also be noted. First, although we performed a comprehensive meta-analysis, the number of relevant studies was limited and we could not perform sub-group analyses for each kind of digestive tract cancer. Second, the sample sizes in the included studies were relatively small. For the -1772C>T polymorphism, increased susceptibility was observed in large studies, while no significant association was found in small studies. Third, the genotype distribution of the controls was not in agreement with HWE in 3 studies on the -1772C>T polymorphism, although sub-group analysis demonstrated that the absence of HWE had no significant effect on the pooled results.

In summary, in this meta-analysis of 13 eligible studies, we found that the -1790G>A polymorphism of HIF-1α significantly increases the susceptibility to digestive tract cancer, while the -1772C>T polymorphism is not associated with significant risk. Further studies with larger sample sizes are warranted to validate these associations, particularly for the -1772C>T polymorphism.

COMMENTS
Background

Hypoxia-inducible factor-1α (HIF-1α) is a critical regulator of oxygen levels, and it is involved in the process of angiogenesis. The C-to-T substitution at -1772 (-1772C>T, rs11549465) and the G-to-A substitution at -1790 (-1790G>A, rs11549467) are two common single nucleotide polymorphisms of HIF-1α.

Research frontiers

Previous association studies have reported the association between HIF-1 polymorphisms and the risk of digestive tract cancer. However, these studies have reported conflicting results, and the sample size was small in the majority of these studies. Therefore, we conducted this meta-analysis to address this issue.

Innovations and breakthroughs

Based on this meta-analysis, the HIF-1α -1772C>T polymorphism was not associated with the overall risk of digestive tract cancer [odds ratio (OR): 1.156; 95%CI: 0.839-1.593]. However, the -1790G>A polymorphism significantly increased the risk of digestive tract cancer (OR: 3.252; 95% CI: 1.661-6.368).

Applications

These results highlighted that HIF-1α -1790G>A plays a role in digestive tract cancer, indicating that this point mutation may affect the transcription of HIF-1α. Further exploration of the mechanism will improve our understanding of the role and function of HIF-1α -1790G>A.

Terminology

Genetic polymorphisms are natural DNA sequence variations that can occur in the healthy population. Functional polymorphisms in gene regulatory or coding sequences may alter gene expression or the function of the encoded proteins. The -1790G>A polymorphism leads to an alanine-to-threonine substitution in the oxygen-dependent degradation domain, which is critical for the function of HIF-1α.

Peer-review

The Authors investigated the association of HIF-1α polymorphisms and risk of digestive cancer. The meta-analysis of 13 studies showed that HIF-1α -1790G>A polymorphism is associated with a significantly increased risk of digestive tract cancer.

Footnotes

P- Reviewer: Sperti C, Sakata N S- Editor: Qi Y L- Editor: Cant MR E- Editor: Wang CH

References
1.  Balasubramanian SP, Brown NJ, Reed MW. Role of genetic polymorphisms in tumour angiogenesis. Br J Cancer. 2002;87:1057-1065.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 60]  [Cited by in F6Publishing: 62]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
2.  Rannala B. Finding genes influencing susceptibility to complex diseases in the post-genome era. Am J Pharmacogenomics. 2001;1:203-221.  [PubMed]  [DOI]  [Cited in This Article: ]
3.  Le Mouël JL CJ, Narteau C. Multiple scale dynamo. Proc Natl Acad Sci USA. 1997;94:5510-5514.  [PubMed]  [DOI]  [Cited in This Article: ]
4.  Tanimoto K, Yoshiga K, Eguchi H, Kaneyasu M, Ukon K, Kumazaki T, Oue N, Yasui W, Imai K, Nakachi K. Hypoxia-inducible factor-1alpha polymorphisms associated with enhanced transactivation capacity, implying clinical significance. Carcinogenesis. 2003;24:1779-1783.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 176]  [Cited by in F6Publishing: 184]  [Article Influence: 8.8]  [Reference Citation Analysis (0)]
5.  Liang X, Yang D, Hu J, Hao X, Gao J, Mao Z. Hypoxia inducible factor-alpha expression correlates with vascular endothelial growth factor-C expression and lymphangiogenesis/angiogenesis in oral squamous cell carcinoma. Anticancer Res. 2008;28:1659-1666.  [PubMed]  [DOI]  [Cited in This Article: ]
6.  Burkitt K, Chun SY, Dang DT, Dang LH. Targeting both HIF-1 and HIF-2 in human colon cancer cells improves tumor response to sunitinib treatment. Mol Cancer Ther. 2009;8:1148-1156.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 52]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
7.  Wang W, Xu GL, Jia WD, Wang ZH, Li JS, Ma JL, Ge YS, Xie SX, Yu JH. Expression and correlation of hypoxia-inducible factor-1alpha, vascular endothelial growth factor and microvessel density in experimental rat hepatocarcinogenesis. J Int Med Res. 2009;37:417-425.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Sasabe E, Tatemoto Y, Li D, Yamamoto T, Osaki T. Mechanism of HIF-1alpha-dependent suppression of hypoxia-induced apoptosis in squamous cell carcinoma cells. Cancer Sci. 2005;96:394-402.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 99]  [Cited by in F6Publishing: 97]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
9.  Zhong H, De Marzo AM, Laughner E, Lim M, Hilton DA, Zagzag D, Buechler P, Isaacs WB, Semenza GL, Simons JW. Overexpression of hypoxia-inducible factor 1alpha in common human cancers and their metastases. Cancer Res. 1999;59:5830-5835.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Koong AC, Mehta VK, Le QT, Fisher GA, Terris DJ, Brown JM, Bastidas AJ, Vierra M. Pancreatic tumors show high levels of hypoxia. Int J Radiat Oncol Biol Phys. 2000;48:919-922.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  Hoffmann AC, Mori R, Vallbohmer D, Brabender J, Klein E, Drebber U, Baldus SE, Cooc J, Azuma M, Metzger R. High expression of HIF1a is a predictor of clinical outcome in patients with pancreatic ductal adenocarcinomas and correlated to PDGFA, VEGF, and bFGF. Neoplasia. 2008;10:674-679.  [PubMed]  [DOI]  [Cited in This Article: ]
12.  Daskalow K, Pfander D, Weichert W, Rohwer N, Thelen A, Neuhaus P, Jonas S, Wiedenmann B, Benckert C, Cramer T. Distinct temporospatial expression patterns of glycolysis-related proteins in human hepatocellular carcinoma. Histochem Cell Biol. 2009;132:21-31.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 26]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
13.  Couvelard A, O’Toole D, Leek R, Turley H, Sauvanet A, Degott C, Ruszniewski P, Belghiti J, Harris AL, Gatter K. Expression of hypoxia-inducible factors is correlated with the presence of a fibrotic focus and angiogenesis in pancreatic ductal adenocarcinomas. Histopathology. 2005;46:668-676.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 95]  [Cited by in F6Publishing: 104]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
14.  Jiang BH, Zheng JZ, Leung SW, Roe R, Semenza GL. Transactivation and inhibitory domains of hypoxia-inducible factor 1alpha. Modulation of transcriptional activity by oxygen tension. J Biol Chem. 1997;272:19253-19260.  [PubMed]  [DOI]  [Cited in This Article: ]
15.  Kang MJ, Jung SA, Jung JM, Kim SE, Jung HK, Kim TH, Shim KN, Yi SY, Yoo K, Moon IH. Associations between single nucleotide polymorphisms of MMP2, VEGF, and HIF1A genes and the risk of developing colorectal cancer. Anticancer Res. 2011;31:575-584.  [PubMed]  [DOI]  [Cited in This Article: ]
16.  Li K, Zhang Y, Dan Z, Wang Y, Ren ZC. Association of the hypoxia inducible factor-1alpha gene polymorphisms with gastric cancer in Tibetans. Biochem Genet. 2009;47:625-634.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 22]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
17.  Knechtel G, Szkandera J, Stotz M, Hofmann G, Langsenlehner U, Krippl P, Samonigg H, Renner W, Langner C, Dehchamani D. Single nucleotide polymorphisms in the hypoxia-inducible factor-1 gene and colorectal cancer risk. Mol Carcinog. 2010;49:805-809.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 26]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
18.  Lau J, Ioannidis JP, Schmid CH. Quantitative synthesis in systematic reviews. Ann Intern Med. 1997;127:820-826.  [PubMed]  [DOI]  [Cited in This Article: ]
19.  Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629-634.  [PubMed]  [DOI]  [Cited in This Article: ]
20.  Zhuo WL, Zhang YS, Wang Y, Zhuo XL, Zhu B, Cai L, Chen ZT. Association studies of CYP1A1 and GSTM1 polymorphisms with esophageal cancer risk: evidence-based meta-analyses. Arch Med Res. 2009;40:169-179.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 34]  [Cited by in F6Publishing: 37]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
21.  Alves LR, Fraga CA, Oliveira MV, Sousa AA, Jorge AS, Marques-Silva L, Santos SH, Jones KM, de Paula AM, Guimarães AL. High HIF-1α expression genotypes increase odds ratio of oral cancer. Head Neck Oncol. 2012;4:87.  [PubMed]  [DOI]  [Cited in This Article: ]
22.  Ruiz-Tovar J, Fernandez-Contreras ME, Martín-Perez E, Gamallo C. Association of thymidylate synthase and hypoxia inducible factor-1alpha DNA polymorphisms with pancreatic cancer. Tumori. 2012;98:364-369.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 14]  [Reference Citation Analysis (0)]
23.  Wang X, Liu Y, Ren H, Yuan Z, Li S, Sheng J, Zhao T, Chen Y, Liu F, Wang F. Polymorphisms in the hypoxia-inducible factor-1α gene confer susceptibility to pancreatic cancer. Cancer Biol Ther. 2011;12:383-387.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Shieh TM, Chang KW, Tu HF, Shih YH, Ko SY, Chen YC, Liu CJ. Association between the polymorphisms in exon 12 of hypoxia-inducible factor-1alpha and the clinicopathological features of oral squamous cell carcinoma. Oral Oncol. 2010;46:e47-e53.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 27]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
25.  Hsiao PC, Chen MK, Su SC, Ueng KC, Chen YC, Hsieh YH, Liu YF, Tsai HT, Yang SF. Hypoxia inducible factor-1alpha gene polymorphism G1790A and its interaction with tobacco and alcohol consumptions increase susceptibility to hepatocellular carcinoma. J Surg Oncol. 2010;102:163-169.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 44]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
26.  Chen MK, Chiou HL, Su SC, Chung TT, Tseng HC, Tsai HT, Yang SF. The association between hypoxia inducible factor-1alpha gene polymorphisms and increased susceptibility to oral cancer. Oral Oncol. 2009;45:e222-e226.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 41]  [Cited by in F6Publishing: 47]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
27.  Muñoz-Guerra MF, Fernández-Contreras ME, Moreno AL, Martín ID, Herráez B, Gamallo C. Polymorphisms in the hypoxia inducible factor 1-alpha and the impact on the prognosis of early stages of oral cancer. Ann Surg Oncol. 2009;16:2351-2358.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 51]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
28.  Fransén K, Fenech M, Fredrikson M, Dabrosin C, Söderkvist P. Association between ulcerative growth and hypoxia inducible factor-1alpha polymorphisms in colorectal cancer patients. Mol Carcinog. 2006;45:833-840.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 53]  [Cited by in F6Publishing: 55]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
29.  Ling TS, Shi RH, Zhang GX, Zhu H, Yu LZ, Ding XF. Common single nucleotide polymorphism of hypoxia-inducible factor-1alpha and its impact on the clinicopathological features of esophageal squamous cell carcinoma. Chin J Dig Dis. 2005;6:155-158.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 36]  [Cited by in F6Publishing: 39]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
30.  Kuwai T, Kitadai Y, Tanaka S, Kuroda T, Ochiumi T, Matsumura S, Oue N, Yasui W, Kaneyasu M, Tanimoto K. Single nucleotide polymorphism in the hypoxia-inducible factor-1alpha gene in colorectal carcinoma. Oncol Rep. 2004;12:1033-1037.  [PubMed]  [DOI]  [Cited in This Article: ]
31.  Park SW, Chung NG, Hur SY, Kim HS, Yoo NJ, Lee SH. Mutational analysis of hypoxia-related genes HIF1alpha and CUL2 in common human cancers. APMIS. 2009;117:880-885.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 17]  [Cited by in F6Publishing: 18]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
32.  Koukourakis MI, Papazoglou D, Giatromanolaki A, Panagopoulos I, Maltezos E, Harris AL, Gatter KC, Sivridis E. C2028T polymorphism in exon 12 and dinucleotide repeat polymorphism in intron 13 of the HIF-1alpha gene define HIF-1alpha protein expression in non-small cell lung cancer. Lung Cancer. 2006;53:257-262.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 25]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
33.  Frank B, Hoffmeister M, Klopp N, Illig T, Chang-Claude J, Brenner H. Single nucleotide polymorphisms in Wnt signaling and cell death pathway genes and susceptibility to colorectal cancer. Carcinogenesis. 2010;31:1381-1386.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 35]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
34.  Wang GL, Semenza GL. Purification and characterization of hypoxia-inducible factor 1. J Biol Chem. 1995;270:1230-1237.  [PubMed]  [DOI]  [Cited in This Article: ]
35.  Carmeliet P, Dor Y, Herbert JM, Fukumura D, Brusselmans K, Dewerchin M, Neeman M, Bono F, Abramovitch R, Maxwell P. Role of HIF-1alpha in hypoxia-mediated apoptosis, cell proliferation and tumour angiogenesis. Nature. 1998;394:485-490.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1877]  [Cited by in F6Publishing: 1915]  [Article Influence: 73.7]  [Reference Citation Analysis (0)]
36.  Carroll VA, Ashcroft M. Targeting the molecular basis for tumour hypoxia. Expert Rev Mol Med. 2005;7:1-16.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 42]  [Cited by in F6Publishing: 39]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
37.  Dang CV, Semenza GL. Oncogenic alterations of metabolism. Trends Biochem Sci. 1999;24:68-72.  [PubMed]  [DOI]  [Cited in This Article: ]
38.  Koukourakis MI, Giatromanolaki A, Skarlatos J, Corti L, Blandamura S, Piazza M, Gatter KC, Harris AL. Hypoxia inducible factor (HIF-1a and HIF-2a) expression in early esophageal cancer and response to photodynamic therapy and radiotherapy. Cancer Res. 2001;61:1830-1832.  [PubMed]  [DOI]  [Cited in This Article: ]
39.  Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K. A comprehensive review of genetic association studies. Genet Med. 2003;4:45-61.  [PubMed]  [DOI]  [Cited in This Article: ]
40.  Liu J, Zhang HX. 1790 G/A polymorphism, but not 1772 C/T polymorphism, is significantly associated with cancers: an update study. Gene. 2013;523:58-63.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 5]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]