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Relationship between vascular endothelial growth factor -2578C > a gene polymorphism and lung cancer risk: a meta-analysis

BMC Medical Genetics volume 21, Article number: 17 (2020) Cite this article

Abstract

Background

Several reports were published on the relationship between the vascular endothelial growth factor (VEGF) -2578C > A gene polymorphism and lung cancer risk; however, the results are debatable. This meta-analysis was conducted to assess the relationship between VEGF -2578C > A gene polymorphism and lung cancer risk.

Methods

The associated literatures were identified on the 1st of September 2018 from CBM-disc (China Biological Medicine Database) and PubMed.

Result

A total of 14 reports were recruited into our meta-analysis to assess the association between VEGF -2578C > A gene polymorphism and lung cancer susceptibility. There was a marked association between VEGF -2578C > A A allele / CC genotype and lung cancer risk in overall and Asian populations (overall populations: A allele: OR = 1.26, 95% CI: 1.08–1.46, P = 0.003; CC genotype: OR = 0.72, 95% CI: 0.54–0.95, P = 0.02; Asians: A allele: OR = 1.33, 95% CI: 1.15–1.55, P = 0.0002; CC genotype: OR = 0.68, 95% CI: 0.50–0.93, P = 0.01). However, VEGF -2578C > A gene polymorphism was not associated with the risk of lung cancer in Caucasians.

Conclusion

VEGF -2578C > A A allele / CC genotype is associated with the lung cancer susceptibility in Asians and in overall populations.

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Background

Lung cancer is a cancer with less than 15% survival rate and is a leading cause of patients’ death worldwid e[1,2,3,4]. It is a complex process requiring the acquisition of genetic mutations which confer the malignant phenotype as well as epigenetic alteration s[5]. Unfortunately, the number of lung cancer related deaths is rapidly increasing each year, and the early diagnosis is crucial to increase the curability chance of patients.

Some genes were found to be associated with the risk of lung cance r[6,7,8]. The vascular endothelial growth factor (VEGF), is one of the key growth factors, that regulates vascular development and angiogenesis and plays an important role in the growth and progression of human cancers, including lung carcinom a [9, 10]. The current evidence indicated that VEGF gene polymorphism is associated with the susceptibility of some cancer s[11]. There is lack of good diagnostic methods that predict the risk of lung cancer, and which etiology is complicated and not clear.

Several reports were published on the relationship between VEGF -2578C > A gene polymorphism and lung cancer susceptibility. We conducted this meta-analysis to evaluate the association between VEGF -2578C > A gene polymorphism and the risk of lung cancer.

Methods

Search strategy

The relevant literature was searched and included using the electronic databases of CBM-disc (China Biological Medicine Database) and PubMed on September the 1st, 2018. The retrieval strategy of “(vascular endothelial growth factor OR VEGF) AND (lung cancer OR lung carcinoma) AND (polymorphism OR polymorphisms)” was entered into the databases. The additional literature was obtained from cited references in recruited studies.

Inclusion and exclusion criteria

Inclusion criteria

(1) Patients outcomes must be lung carcinoma; (2) There should be two comparison groups (lung cancer group vs control group); (3) The studies should show data for VEGF -2578C > A genotype distribution.

Exclusion criteria

(1) Editorials and review articles; (2) Case reports; (3) Preliminary outcome not on VEGF -2578C > A gene polymorphism or lung cancer; (4) Studying the role VEGF gene expression in cancers; (5) Multiple publications.

Data extraction and synthesis

The data was searched and extracted by two investigators that were independent from each eligible study. The investigators analyzed the data based on the first author’s surname, location of the performed study, year of publication, the number of cases and controls for VEGF -2578C > A genotypes and the control source of the control group. Disagreements were resolved by discussion.

Statistical analysis

Revman 5 (Cochrane Library, UK) was applied to calculate the data extracted from each literature. When the P value for the heterogeneity test was less than 0.1, a random effects model was applied. Otherwise, the pooled statistic was counted using the fixed effects model. Odds ratios (OR) were used to express the dichotomous data, and 95% confidence intervals (CI) were also counted. A P value of less than 0.05 was regarded as the pooled OR, to be notably significant. I2 was applied to detect the heterogeneity among the included investigations. According to the source of the controls, sensitivity analysis was also performed (population-based vs hospital-based). Stata 11.0 was used to test the publication bias. The Begg tes t[12] and the Egger tes t[13] were applied to assess the publication bias (P < 0.1 was considered significant), when the sample size of included studies was more than ten.

Results

Study characteristics

A total of 14 studie s[14,15,16,17,18,19,20,21,22,23,24,25,26,27] on the association between VEGF -2578C > A gene polymorphism and the susceptibility of lung cancer, were included into this meta-analysis (Table 1 and Fig. 1). The data of our interest were extracted (Table 1). Those 14 investigations contained 3120 patients with lung cancer and 3540 controls. The method for the detection of VEGF -2578C > A gene polymorphism in all the included studies, involved the use of restriction fragment length polymorphism polymerase chain reaction (RFLP-PCR). We have calculated the allele frequencies of the variant allele (A allele) and found that the frequency of A allele in the lung cancer group was 27.7%, and it in control group was 24.2%.

Table 1 General characteristics of the included studies in this meta-analysis for VEGF -2578C > A gene polymorphism with lung cancer risk
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Fig. 1
figure 1

Flow chart of the study search and selection

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Relationship between VEGF -2578C > a gene polymorphism and lung cancer susceptibility in overall populations

VEGF -2578C > A A allele and CC genotype were associated with lung cancer risk; however, the AA genotype was not found in overall populations (A allele: OR = 1.26, 95% CI: 1.08–1.46, P = 0.003, Fig. 2; AA genotype: OR = 1.29, 95% CI: 0.89–1.89, P = 0.18, Fig. 3; CC genotype: OR = 0.72, 95% CI: 0.54–0.95, P = 0.02, Fig. 4; Table 2).

Fig. 2
figure 2

Association between VEGF -2578C > A A allele and lung cancer susceptibility in overall populations

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Fig. 3
figure 3

Association between VEGF -2578C > A AA genotype and lung cancer susceptibility in overall populations

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Fig. 4
figure 4

Association between VEGF -2578C > A CC genotype and lung cancer susceptibility in overall populations

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Table 2 Meta-analysis of the association of VEGF -2578C > A gene polymorphism with lung cancer risk
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Relationship between VEGF -2578C > a gene polymorphism and lung cancer susceptibility in Asians

In this meta-analysis, VEGF -2578C > A A allele, and CC genotype were associated with the risk of lung cancer in Asians; however, the AA genotype was not (A allele: OR = 1.33, 95% CI: 1.15–1.55, P = 0.0002; AA genotype: OR = 1.45, 95% CI: 0.92–2.28, P = 0.11; CC genotype: OR = 0.68, 95% CI: 0.50–0.93, P = 0.01; Table 2).

Relationship between VEGF -2578C > a gene polymorphism and lung cancer susceptibility in Caucasians

In this meta-analysis, VEGF -2578C > A gene polymorphism was not associated with the susceptibility of lung cancer in Caucasians (A allele: OR = 0.90, 95% CI: 0.74–1.11, P = 0.33; AA genotype: OR = 0.78, 95% CI: 0.55–1.12, P = 0.18; CC genotype: OR = 1.06, 95% CI: 0.76–1.47, P = 0.74; Table 2).

Sensitivity analysis

The sensitivity analysis for the association between VEGF -2578C > A gene polymorphism and lung cancer susceptibility was also performed by the source of the controls (population-based vs hospital-based). In the sensitivity analysis using population-based, the VEGF -2578C > A A allele and CC genotype were associated with lung cancer risk; however, the AA genotype was not (Table 2). In the sensitivity analysis using the hospital-based control, VEGF -2578C > A gene polymorphism was not associated with lung cancer susceptibility (Table 2).

Evaluation of publication bias

No publication bias was found for the overall populations (Begg P = 0.807, funnel plot was presented in Fig. 5; Egger P = 0.505), and Asians (Begg P = 0.938, Egger P = 0.827).

Fig. 5
figure 5

Funnel plot to assess publication bias for the association of VEGF -2578C > A gene polymorphism with lung cancer susceptibility in overall populations

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Discussion

VEGF is regarded as an important factor taking part in the inactivation of pro-carcinogens, which contribute to cancer. In this study, we included 14 studies into our meta-analysis. We investigated whether the VEGF -2578C > A gene polymorphism is a valuable indicator for lung cancer susceptibility, and attempted to draw robust results. In our meta-analysis, we found that there was a marked association between VEGF -2578C > A A allele / CC genotype and lung cancer risk in overall and Asian populations. However, VEGF -2578C > A gene polymorphism was not associated with the risk of lung cancer in Caucasians. The sample size of the included studies was larger than that of other meta-analyses, and the results on the association between VEGF -2578C > A gene polymorphism and lung cancer risk might be more robust. The pooled OR for A allele was 1.26 for overall populations and 1.33 for Asians; while, for the CC genotype the odds ratio was less than 1. It indicated that high CC genotype was a protective genotype (good genotype); however, A allele was a negative gene allele. The AA genotype was not associated with lung cancer risk, which might due to the small sample size of included studies, and therefore, more studies should be conducted to confirm this result. Nevertheless, the results for the Caucasian population were less robust, also due to the small number of included studies. Additional studies should be performed to confirm this result.

In the sensitivity analysis by the controls source, we found that, in the sensitivity analysis using the population-based control, the VEGF -2578C > A A allele / CC genotype was associated with lung cancer susceptibility. However, in the sensitivity analysis using the hospital-based control, VEGF -2578C > A gene polymorphism was not associated with lung cancer susceptibility.

Publication bias was also analyzed, and we found that there was no publication bias for overall and Asians populations. This suggests that the conclusion from our meta-analysis was robust. However, additional well-designed studies should be performed to confirm this result in the future.

In a previous study, Deng et al .[15] recruited four reports into their study using a meta-analysis method, and showed that the CC genotype was associated with lung cancer; however, A allele and AA genotype were not. Chen et al .[28] also included four studies into their meta-analysis, and obtained a similar result. Lin et al .[29] included seven studies into their meta-analysis, and reported that the A allele was associated with lung cancer, but the AA and CC genotypes were not. Our meta-analysis indicated that there was an association between A allele, CC genotype and lung cancer risk in overall and Asian populations. The sample size in our meta-analysis was larger than the previous meta-analyses, and the outcome in our meta-analysis might be more robust. In this study, we found that the CC genotype is the dominant genotype associated with lung cancer risk. We speculated that the CC genotype might be associated with high levels of VEGF, and that the increased VEGF was associated with lung cancer risk.

In the test of publication bias, two points were located on or out of scope, indicating publication bias. We deleted the two studies and conducted a further meta-analysis, and found the results were similar.

Conclusions

The results in our study support that VEGF -2578C > A A allele / CC genotype was associated with lung cancer susceptibility in overall and Asian populations. However, additional well-designed investigations of this association are required to confirm these results.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

VEGF:

Vascular endothelial growth factor

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Acknowledgements

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Funding

This work was supported by grant from Natural Science Foundation of Guangxi Province (2017GXNSFAA198015) or Medical Health Technology Development and Application Foundation of Guangxi Province (S2017104). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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  1. Hui-liu Zhao, Jia-hua Yu and Ling-sha Huang contributed equally to this work.

Authors and Affiliations

  1. Department of Clinical Laboratory Medicine, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi Province, 530021, People’s Republic of China

    Hui-liu Zhao, Jia-hua Yu, Ling-sha Huang, Pei-zhang Li, Ming Lao, Bo Zhu & Chao Ou

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  1. Hui-liu Zhao
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Contributions

BZ and CO was in charge of conceived and designed the study. HLZ, JHY and LSH were responsible for collection of data and performing the statistical analysis and manuscript preparation. PZL and ML were responsible for checking the data. All authors were responsible for drafting the manuscript, read and approved the final version.

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Correspondence to Bo Zhu or Chao Ou.

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Zhao, Hl., Yu, Jh., Huang, Ls. et al. Relationship between vascular endothelial growth factor -2578C > a gene polymorphism and lung cancer risk: a meta-analysis. BMC Med Genet 21, 17 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12881-019-0938-0

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BMC Medical Genetics

ISSN: 1471-2350

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