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. 2019 Dec 2;2019:3104176. doi: 10.1155/2019/3104176

Effects of IL-4-590C/T (rs2243250) Polymorphism on the Susceptibility of Smoking-Related Cancer: A Meta-Analysis Involving 11,407 Subjects

Guangyuan Chen 1,#, Cong Hu 1,#, Yuxuan Song 2,#, Haifei Zhang 1, Song Li 1, Penghui Lai 1, Yiling Zhang 1, Peng Huang 3,4,✉
PMCID: PMC6913344  PMID: 31871935

Abstract

Background

Several previous studies have assessed the relationship between IL-4-590C/T gene polymorphism and smoking-related cancer in recent years; however, the results remain controversial. Based on it, the study intends to clarify whether IL-4-590C/T variant increases the risk of smoking-related cancer through meta-analysis.

Methods

We searched PubMed, EMBASE, Web of Science, Cochrane Library database, China National Knowledge Infrastructure, and Wanfang data information service platform to collect qualified case-control studies in strict accordance with the inclusion and exclusion standards. The 95% confidence interval (95% CI) and its odds ratio (OR) were adopted to access the relation between IL-4-590C/T gene polymorphism and smoking-related cancer; sensitivity analysis and publication bias assessment were carried out after the studies' quality evaluation.

Results

17 studies were included in total, with 5,061 patients and 6,346 control cases. A significant association between IL-4-590C/T variant and smoking-related cancer in total population was revealed in our meta-analysis results, and IL-4-590C/T variant might have a relatively protective effect on smoking-related cancer (CT vs. TT: P=0.026, OR = 0.900, 95% CI: 0.820–0.987). Subgroup analysis by ethnicity showed that the IL-4-590C/T polymorphism was associated with a decreased risk of smoking-related cancer in the Asian population (CT vs. TT: P=0.008, OR = 0.878, 95% CI: 0.798–0.967; CC + CT vs. TT: P=0.030, OR = 0.903, 95% CI: 0.824–0.990). Subgroup analysis based on types of cancer demonstrated the IL-4-590C/T variant achieved a lower risk in renal cell cancer (CC vs. TT: P=0.046, OR = 0.640, 95% CI: 0.412–0.993).

Conclusion

There is a conspicuous association between IL-4-590C/T polymorphism and decreased risk of smoking-related cancer, particularly in Asians. And IL-4-590C/T polymorphism may have a protective effect on renal cell cancer.

1. Introduction

Smoking is currently an important risk factor for a variety of cancers. Almost half of male urinary tumors and 1/3 of female urinary tumors are caused by smoking [1]. Compared with nonsmokers, smokers can increase the prevalence of bladder cancer by two to three times [2]. Cigarette smoke itself is a rich free radical that induces DNA damage in cells by inducing it as a triggering factor for tumors. In addition, more than 60 carcinogens have been found in cigarette smoke, like aromatic amines, polycyclic aromatic hydrocarbons, and specific nitrosamines in tobacco; all of them are recognized as carcinogens in humans [3–5]. The genotoxic patterns of these chemicals have been delineated and related to the DNA damage in cells. DNA adducts can be caused by smoking [6], as a result of the formation of covalently bound DNA damage by the production of electrophilic substances. The formation of DNA adducts is a cancerous potential result, and DNA adducts can mislead DNA replication, resulting in mutations [7]. These specific genetic mutations affect critical areas that control cell function, which can lead to tumorigenesis [8]. Compared with individuals who smoke slightly, individuals who smoke heavily have a higher risk of cancer because of the higher concentration of carcinogens in their body [9, 10]. The International Agency for Research on Cancer (IARC) has defined smoking-related cancer as the cause of cancers of the lung, oral cavity, gastric, bladder, and so on [11]. According to the latest cancer report of 2018, smoking-related cancers became a major public health problem with extremely high morbidity and mortality [12].

Interleukin-4 (IL-4) gene is oriented in the cytokine gene cluster on chromosome 5q31-33. It is a cytokine that can promote the proliferation of Th2 cells while inhibit the proliferation of Th1 cells, and finally reduce the immune response mediated by Th1 [13]. Many studies have shown that interleukin-4 can promote tumor progression and metastasis by affecting apoptosis of tumor cells [14–17]. At present, there have been several case-control researches to explore the relationship between IL-4-590C/T (rs2243250) gene polymorphism and smoking-related cancer, but the results are still controversial. The polymorphism of IL-4-590C/T (rs2243250) is a C to T base mutation, and the T-allele gene means mutational allele gene and C-allele gene means the wild allele gene. Our aim is to study whether the mutational T-allele and TT genotype increase the susceptibility of smoking-related cancer compared with CT and CC containing the wild C allele through systematic review and meta-analysis.

2. Methods

2.1. Literature Retrieval

We performed a comprehensive search of PubMed, EMBASE, Web of Science, Cochrane Library database, China National Knowledge Infrastructure, Wanfang data information Service platform, and manual search to find relevant studies. The English search strategy: (cancer or carcinoma or neoplasm) AND (IL 4 OR IL-4 OR Interleukin 4 OR Interleukin-4) AND (SNP or variant or polymorphism or genotype). We searched the studies published before Aug 1, 2019. At the same time, the corresponding literature, academic conference papers, and unpublished documents were included in the literature through manual search.

2.2. Inclusion and Exclusion Criteria

2.2.1. Inclusion Criteria

The inclusion criteria were as follows: (1) case-control articles about the polymorphism of IL-4 referring to smoking-related cancers; (2) the studies including IL-4-590C/T (rs2243250) variant; (3) studies having sufficient data for examining the odds ratio (OR) with 95% confidence intervals (CIs); (4) the articles reporting the risk of smoking-related cancers which were defined according to the IARC monograph; (5) the genotypes accorded with Hardy–Weinberg equilibrium (HWE).

2.2.2. Exclusion Criteria

The exclusion criteria were as follows: (1) the control group gene distribution contained in these studies was not subject to HWE; (2) literature with incomplete data or data not available.

2.3. Literature Quality Evaluation and Data Extraction

The quality of the included literature was accessed using the evaluation criteria of the case-control study in the Newcastle–Ottawa scale (NOS). The evaluation included (1) the selection of study subjects, (2) the inter-group comparability, and (3) the exposure evaluation. The NOS divides the quality of the literature into 0–9 points. The higher the score, the better the quality of the literature. The score ≥5 is considered to be a literature of high quality.

The data extraction includes the studies' names, the publication year, the target country, the race, the cancer type, the amount of case group and control group, and its genotype distribution and genotyping methods.

2.4. Statistical Methods

Meta-analysis was performed using Stata12.0 software. Q test and heterogeneity coefficient I2 were used to judge the heterogeneity between studies. If there is statistical heterogeneity (I2 > 50%, or P < 0.1), the random effect model is used for meta-analysis; otherwise, the fixed-effect model is used. Using odds ratio (OR) as an effector to reflect the strength of the correlation between IL-4 rs2243250 and smoking-related cancer. And we included five models: (1) allele model, (2) dominant model, (3) codominant model, (4) homozygote model, and (5) recessive model, to analyze the association, respectively. The T allele is a mutational allele, and the C allele is a wild allele. In addition, the heterogeneity source was explored by subgroup analysis. And the P value of Egger's test, Begg's test, and funnel chart was obtained to evaluate the bias induced from publication.

3. Results

A total of 1,324 potentially relevant researches were identified in accordance with the search strategy (Figure 1). Ultimately, 17 case-control articles were selected into our meta-analysis.

Figure 1.

Figure 1

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Flowchart illustrating the search strategy for IL-4-590C/T polymorphism and the risk of smoking-related cancer.

3.1. Traits of the Selected Studies

The traits of the selected studies are presented in Table 1. For IL-4 rs2243250 polymorphism, 24 articles were investigated. However, deviations from HWE were found in 7 articles [18–24], so we have to remove these 7 articles (Figure 1), while the other 17 articles were in accordance with HWE. Of these 17 articles [25–41] (including 5,061 cases and 6,346 controls), seven studied the relation between IL-4-590C/T variant and the susceptibility of gastric cancer, three between IL-4-590C/T variant and the susceptibility of lung cancer, and three between IL-4-590C/T variant and the susceptibility of oral carcinoma. The others studied the association between studied IL-4-590C/T variant and the susceptibility of bladder cancer, hepatocellular cancer, and renal cell carcinoma. For genotyping methods, seven were using PCR-RFLP, six were using TaqMan, three were using PCR, and one was using MASSARRAY. The NOS scores of the 17 documents were all more than 5, meaning that all of them were high-quality studies (Table 1).

Table 1.

Main characters of studies included in this meta-analysis.

Author Year Country Ethnicity Cancer type Genotyping method Case/n Control/n P for HWE NOS scores
Amirzargar et al. [18] 2005 Iran Caucasian Leukemia PCR-SSP 30 40 P < 0.05 6
Chang et al. [19] 2015 China Asian Lung cancer PCR-RFLP 358 716 P < 0.05 8
Chu et al. [39] 2012 China Asian Bladder cancer TaqMan 816 1140 0.323 7
Chu et al. [38] 2012 China Asian Renal cell carcinoma TaqMan 620 623 0.079 7
Crusius et al. [26] 2008 Netherlands Caucasian Gastric cancer PCR-RFLP 242 1154 0.603 7
El-Omar et al.[20] 2003 Scotland Mixed Esophageal cancer PCR-ARMS 90 209 P < 0.05 6
El-Omar et al. [20] 2003 Scotland Mixed Gastric cancer PCR-ARMS 122 209 P < 0.05 7
Gaur et al. [27] 2011 India Caucasian Oral carcinoma PCR-RFLP 140 120 0.095 8
Gu and Shen [28] 2014 China Asian Lung cancer TaqMan 500 500 0.348 7
Lai et al. [29] 2005 China Asian Gastric cancer PCR-RFLP 123 162 0.698 7
Li et al. [21] 2012 China Asian Lung cancer PCR-RFLP 1072 1126 P < 0.05 7
Liang et al. [30] 2010 China Asian Gastric cancer PCR 238 112 0.118 7
Lu et al. [31] 2014 China Asian Hepatocellular cancer PCR 154 170 0.549 7
Olson et al. [22] 2007 USA Mixed Prostate cancer PCR-RFLP 149 128 P < 0.05 8
Pan et al. [32] 2014 China Asian Gastric cancer PCR 308 307 0.389 7
Saxena et al. [23] 2014 India Caucasian Hepatocellular cancer TaqMan 59 153 P < 0.05 7
Tsai et al. [40] 2005 China Asian Oral carcinoma PCR-RFLP 130 105 0.741 7
Yang et al. [33] 2014 China Asian Oral carcinoma PCR-RFLP 463 623 0.233 7
Zambon et al. [34] 2008 Italy Caucasian Gastric cancer TaqMan 40 64 0.800 7
Ando et al. [35] 2009 Japan Asian Gastric cancer TaqMan 330 190 0.248 7
Kesarwani et al. [24] 2008 India Asian Prostate cancer PCR-ARMS 200 200 P < 0.05 7
Denny et al. [36] 2018 Spanish Caucasian Gastric cancer PCR-RFLP 15 20 0.814 8
Tan et al. [37] 2019 China Asian Lung cancer MASSARRAY 199 266 0.195 7
Keith et al. [41] 2018 USA Caucasian Lung cancer TaqMan 616 616 0.338 9
Cozar et al. [25] 2007 Spain Caucasian Renal cell carcinoma RCR-RFLP 127 174 0.844 7
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P for HWE: P value for Hardy–Weinberg equilibrium; PCR: polymerase chain reaction; RFLP: restriction fragment length polymorphism; ARMS: amplification refractory mutation system; SSP: sequence specific primers.

3.2. Meta-Analysis Results

Table 2 listed the main results of the meta-analysis of IL-4-590C/T (rs2243250) gene polymorphism and the risk of smoking-related cancer in overall population. Table 3 shows the main results of subgroup analysis by ethnicity.

Table 2.

Meta-analysis results.

Contrast model OR (95% CI) P Test for heterogeneity Publication bias (Egger's test) Publication bias (Begg's test) Analysis model
I 2 (%) P t P Z P
C vs. T 0.981 (0.887, 1.084) 0.700 44.60 0.025 0.45 0.656 0.54 0.592 R
CC vs. TT 1.065 (0.783, 1.448) 0.689 55.30 0.004 0.35 0.733 0.68 0.499 R
CT vs. TT 0.900 (0.820, 0.987) 0.026 0.00 0.603 0.02 0.984 0.05 0.964 F
CC + CT vs. TT 0.928 (0.849, 1.014) 0.098 0.00 0.544 0.37 0.720 0.77 0.444 F
CC vs. TT + CT 1.104 (0.860, 1.416) 0.438 59.20 0.001 0.97 0.348 0.70 0.484 R
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R: random effect model; F: fixed-effect model; OR: odds ratio; CI: confidence interval.

Table 3.

Subgroup meta-analysis by ethnicity of IL-4 rs2243250.

Subgroup Contrast model OR (95% CI) P Test for heterogeneity Analysis model
I 2 (%) P
Asian C vs. T 0.947 (0.877, 1.023) 0.168 28.40 0.175 F
CC vs. TT 1.047 (0.698, 1.571) 0.825 64.90 0.001 R
CT vs. TT 0.878 (0.798, 0.967) 0.008 0.00 0.806 F
CC + CT vs. TT 0.903 (0.824, 0.990) 0.030 0.00 0.909 F
CC vs. TT + CT 1.097 (0.726, 1.658) 0.659 67.10 0.001 R
Caucasian C vs. T 1.124 (0.858, 1.471) 0.397 59.90 0.029 R
CC vs. TT 1.113 (0.763, 1.624) 0.580 19.70 0.289 F
CT vs. TT 1.259 (0.875, 1.813) 0.215 0.00 0.487 F
CC + CT vs. TT 1.341 (0.948, 1.897) 0.097 11.40 0.341 F
CC vs. TT + CT 1.046 (0.882, 1.241) 0.605 42.70 0.121 F
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R: random effect model; F: fixed-effect model; OR: odds ratio; CI: confidence interval.

3.2.1. Association between IL-4-590C/T Polymorphism and the Risk of Smoking-Related Cancer

Seventeen articles including 5,061 cancer cases and 6,346 normal controls were investigated. As illustrated in Table 2, a significant relation was found for IL-4-590C/T gene polymorphism and the risk of smoking-related cancer in overall population (CT vs. TT: P=0.026, OR = 0.900, 95% CI: 0.820–0.987). And the CT genotype carriers have a slightly lower incidence of smoking-related cancer compared to that of TT carriers and the TT variants might be a potential risk factor for smoking-related cancer susceptibility in overall populations (Table 2 and Figure 2).

Figure 2.

Figure 2

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Forest plot of association between IL-4-590C/T polymorphism and smoking-related cancer in overall population ((a) C allele vs. T allele; (b) CC vs. TT; (c) CT vs. TT; (d) CC + CT vs. TT; (e) CC vs. CT + TT).

3.2.2. Association between IL-4-590C/T Polymorphism and Smoking-Related Cancer Risk in Subgroup Analysis by Ethnicity

The heterogeneity of IL-4-590C/T variant and smoking-related cancer was complicated by multiple indexes, so subgroup analysis of different ethnicities was carried out. A significant association between IL-4-590C/T variant and the susceptibility of the smoking-related cancer in Asian population (CT vs. TT: P=0.008, OR = 0.878, 95% CI: 0.798–0.967; CC + CT vs. TT: P=0.030, OR = 0.903, 95% CI: 0.824–0.990) was found. Our results indicated that CC/CT genotype carriers had a lower risk compared with TT carriers and the CC/CT variant might be a protective factor for smoking-related cancer susceptibility in Asian population. However, any association between smoking-related cancer risk and IL-4-590C/T variant was found in Caucasians (Table 3).

3.2.3. Association between Smoking-Related Cancer Susceptibility and IL-4-590C/T Polymorphism in Subgroup Analysis by Cancer Type

Our results demonstrated that IL-4-590C/T polymorphism had a lower risk for renal cell cancer (CC vs. TT: P=0.046, OR = 0.640, 95% CI: 0.412–0.993). And the CC genotype might be a protective factor in renal cell cancer. However, for bladder cancer, gastric cancer, oral carcinoma, lung cancer, and hepatocellular cancer, we did not find any obvious association in different genotype carriers (Figure 3).

Figure 3.

Figure 3

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Forest plot of subgroup analysis by cancer type ((a) C allele vs. T allele; (b) CC vs. TT; (c) CT vs. TT; (d) CC + CT VS. TT; (e) CC vs. CT + TT).

3.3. Sensitivity Analysis

Sensitivity analysis was performed by deleting a study one by one, and the combined results showed no significant changes, denoting that the results of this study were relatively steady (Figure 4).

Figure 4.

Figure 4

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Sensitivity analysis of the pooled ORs and 95% CIs for IL-4-590C/T polymorphism (C allele vs. T allele).

3.4. Publication Bias

Publication bias was evaluated by Begg's funnel plots and Egger's test (the allelic contrast of pooled analysis: Egger's test, P=0.656; Begg's test, P=0.592), and the P value of Egger's test and Begg's test were all more than 0.05, suggesting that there was no publication bias for the association between IL-4 rs2243250 variant and the susceptibility of smoking-related cancer in these included studies (Table 2 and Figure 5).

Figure 5.

Figure 5

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Begg's funnel plot with pseudo 95% confidence limits for studies of the association between smoking-related cancer risk and IL-4-590C/T polymorphism (C allele vs. T allele).

4. Discussion

In terms of originality, our meta-analysis is the first paper to study the relationship between IL-4-590C/T (rs2243250) polymorphism and smoking-related cancer. We use five genetic models ((1) allele model; (2) dominant model; (3) codominant model; (4) homozygote model; (5) recessive model) to determine the association between IL-4-590C/T (rs2243250) polymorphism and smoking-related cancer. As a result, we found that IL-4-590C/T (rs2243250) polymorphism was associated with the decreased risk of smoking-related cancer in overall population. A slightly lower incidence of smoking-related cancer was observed in CT carriers compared to TT carriers and the TT variant might be a risk factor resulting in smoking-related cancer susceptibility in different races.

In subgroup analysis by ethnicity, our results indicated that the polymorphism of IL-4-590C/T was associated with the decreased risk of smoking-related tumors in Asian population. The CT/CC genotype was a protective factor for the susceptibility of smoking-related cancer while the TT genotype was a risk factor for smoking-related cancer susceptibility. No obvious association was observed in the population of Caucasians. It might account for that genetic polymorphisms are greatly different in various racial groups, which means that we can pay more attention to IL-4-590C/T gene polymorphism when screening for smoking-related cancer, especially among Asians.

For cancer-type subgroup analysis, the susceptibility of renal cell carcinoma was observed to be associated with the polymorphism of IL-4-590C/T. And the CC genotype might be a protective factor in renal cell cancer.

Our results were consistent with Chu et al. [38]; they found that the polymorphism of IL-4 rs2243250 was also associated with the lower risk of renal cell carcinoma. But our result was different from Cozar et al. [25]; they did not find that the polymorphism of IL-4 rs2243250 was also associated with the susceptibility of renal cell carcinoma. In addition, Pan et al. [32] and Tan et al. [37] have found that IL-4-590C/T variant was relevant with the increased risk of lung cancer and gastric cancer. The possible reasons for the different results of the above studies have been summarized as follows: (1) the genetic background of the population was different; (2) the sample volume of Asians we included in this meta-analysis was much larger than that of Caucasians; (3) the methods of genotyping were different in these included studies; (4) the different types of smoking-related cancers had different relationships with IL-4 rs2243250 polymorphism. In addition, IL-4 rs2243250 polymorphism was involved in the metabolism of a variety of carcinogens associated with tobacco smoke, which may be affected by complex factors like multiple genes, environmental factors, individual genetic background, and dietary habits.

Some advantages feature our findings. First, we performed the NOS quality test on all the included literature, ensuring that the literature works included were of high quality. Second, HWE tests were conducted on included documents, and we excluded those that did not meet the Hardy–Weinberg Equilibrium. Third, more than 11,407 subjects consisting of 5,061 patients with smoking-related cancer and 6,346 controls were contained in the study. Therefore, the sample size was large enough to confirm the results of our analysis. Moreover, sensitivity analysis and Egger's test showed the results were stable.

One of the important things about meta-analysis is heterogeneity, and ignoring the heterogeneity may lead to scientific errors. We found the heterogeneity was significant in many models. Therefore, we conducted a subgroup analysis and finally found that the type of cancer may be the source of this heterogeneity.

There are still some limitations in this study that cannot be avoided. Firstly, some of the included studies show lack of enough original information like smoking history and family conditions. So it cannot be assessed for potential interactions with interference factors. Besides, the present meta-analysis only included English and Chinese studies, so it might cause language bias. Therefore, there is a need for more multicentric researches with large samples to be carried out in future to gain more insights into the association between IL-4 rs2243250 polymorphism and smoking-related cancer.

5. Conclusion

Our study indicates that smoking-related cancer susceptibility is associated with IL-4-590C/T polymorphism in the total population. The CT genotype carriers have a slightly lower incidence of smoking-related cancer compared to TT carriers in the overall populations. And the IL-4-590C/T polymorphism has different susceptibility to smoking-related tumors in the different populations, especially in Asians. However, in order to determine a comprehensive conclusion on the correlation between smoking-related cancer susceptibility and IL-4-590C/T polymorphism, more prospective cohort studies are still needed in the future.

Acknowledgments

The authors thank Yunyan Li, Nanchang University, the senior fellow apprentice of them, for providing valuable comments.

Abbreviations

OR:

Odds ratio

CI:

Confidence interval

HWE:

Hardy–Weinberg equilibrium

IL-4:

Interleukin-4

SNP:

Single nucleotide polymorphism

IARC:

International Agency for Research on Cancer

The NOS scale:

The Newcastle–Ottawa scale

R:

Random effect model

F:

Fixed-effect model.

Disclosure

Guangyuan Chen, Cong Hu, and Yuxuan Song contributed equally and should be considered as the co-first authors.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors' Contributions

Peng Huang was responsible for study design with methodology checking and data analysis guidance. Guangyuan Chen and Cong Hu were involved in data collection. Guangyuan Chen, Cong Hu, Penghui Lai, and Haifei Zhang analysed the data; Guangyuan Chen, Cong Hu, and Yuxuan Song wrote the manuscript. Yuxuan Song, Yiling Zhang, and Song Li carried out grammar checking.

Supplementary Materials

Supplementary Materials

PRISMA 2009 Checklist.

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References

  • 1.Zeegers M. P. A., Tan F. E. S., Dorant E., van den Brandt P. A. The impact of characteristics of cigarette smoking on urinary tract cancer risk: a meta-analysis of epidemiologic studies. Cancer. 2000;89(3):630–639. doi: 10.1002/1097-0142(20000801)89:3&#x0003c;630::aid-cncr19&#x0003e;3.3.co;2-h. [DOI] [PubMed] [Google Scholar]
  • 2.Lortet-Tieulent J., Goding Sauer A., Siegel R. L., et al. State-level cancer mortality attributable to cigarette smoking in the United States. JAMA Internal Medicine. 2016;176(12):1792–1798. doi: 10.1001/jamainternmed.2016.6530. [DOI] [PubMed] [Google Scholar]
  • 3.Hecht S. S. Tobacco carcinogens, their biomarkers and tobacco-induced cancer. Nature Reviews Cancer. 2003;3(10):733–744. doi: 10.1038/nrc1190. [DOI] [PubMed] [Google Scholar]
  • 4.Smith C. J., Perfetti T. A., Garg R., Hansch C. IARC carcinogens reported in cigarette mainstream smoke and their calculated log P values. Food and Chemical Toxicology. 2003;41(6):807–817. doi: 10.1016/s0278-6915(03)00021-8. [DOI] [PubMed] [Google Scholar]
  • 5.Smith C. J., Perfetti T. A., Rumple M. A., Rodgman A., Doolittle D. J. “IARC group 2B carcinogens” reported in cigarette mainstream smoke. Food and Chemical Toxicology. 2001;39(9):183–205. doi: 10.1016/s0278-6915(00)00164-2. [DOI] [PubMed] [Google Scholar]
  • 6.Hecht S. S. Progress and challenges in selected areas of tobacco carcinogenesis. Chemical Research in Toxicology. 2008;21(1):160–171. doi: 10.1021/tx7002068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Besaratinia A., Tommasi S. Genotoxicity of tobacco smoke-derived aromatic amines and bladder cancer: current state of knowledge and future research directions. The FASEB Journal. 2013;27(6):2090–2100. doi: 10.1096/fj.12-227074. [DOI] [PubMed] [Google Scholar]
  • 8.Hlatky L., Hahnfeldt P. Beyond the cancer cell: progression-level determinants highlight the multiscale nature of carcinogenesis risk. Cancer Research. 2014;74(3):659–664. doi: 10.1158/0008-5472.can-13-2508. [DOI] [PubMed] [Google Scholar]
  • 9.van Osch F. H., Jochems S. H., van Schooten F.-J., Bryan R. T., Zeegers M. P. Quantified relations between exposure to tobacco smoking and bladder cancer risk: a meta-analysis of 89 observational studies. International Journal of Epidemiology. 2016;45(3):857–870. doi: 10.1093/ije/dyw044. [DOI] [PubMed] [Google Scholar]
  • 10.Samanic C., Kogevinas M., Dosemeci M., et al. Smoking and bladder cancer in Spain: effects of tobacco type, timing, environmental tobacco smoke, and gender. Cancer Epidemiology Biomarkers & Prevention. 2006;15(7):1348–1354. doi: 10.1158/1055-9965.epi-06-0021. [DOI] [PubMed] [Google Scholar]
  • 11.Suwazono Y., Nogawa K., Uetani M., et al. Application of hybrid approach for estimating the benchmark dose of urinary cadmium for adverse renal effects in the general population of Japan. Journal of Applied Toxicology. 2011;31(1):89–93. doi: 10.1002/jat.1582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bray F., Ferlay J., Soerjomataram I., Siegel R. L., Torre L. A., Jemal A. Global cancer statistics 2018: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians. 2018;68(10):394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 13.Laine M. L., Loos B. G., Crielaard W. Gene polymorphisms in chronic periodontitis. International Journal of Dentistry. 2010;2010(10):1–22. doi: 10.1155/2010/324719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Završnik M., Letonja J., Makuc J., Šeruga M., Cilenšek I., Petrovič D. Interleukin-4 gene (IL4)-590C/T (rs2243250) gene polymorphism is not associated with diabetic nephropathy (DN) in Caucasians with type 2 diabetes mellitus (T2DM) Bosnian Journal of Basic Medical Sciences. 2018;26(88) doi: 10.17305/bjbms.2018.2688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Aggarwal B. B., Vijayalekshmi R. V., Sung B. Targeting inflammatory pathways for prevention and therapy of cancer: short-term friend, long-term foe. Clinical Cancer Research. 2009;15(2):425–430. doi: 10.1158/1078-0432.ccr-08-0149. [DOI] [PubMed] [Google Scholar]
  • 16.Teler J., Tarnowski M., Safranow K., et al. CCL2, CCL5, IL4 and IL15 gene polymorphisms in women with gestational diabetes mellitus. Hormone & Metabolic Research. 2017;49(1):10–15. doi: 10.1055/s-0042-111436. [DOI] [PubMed] [Google Scholar]
  • 17.Wang H.-W., Joyce J. A. Alternative activation of tumor-associated macrophages by IL-4: priming for protumoral functions. Cell Cycle. 2010;9(24):4824–4835. doi: 10.4161/cc.9.24.14322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Amirzargar A. A., Bagheri M., Ghavamzadeh A., et al. Cytokine gene polymorphism in Iranian patients with chronic myelogenous leukaemia. International Journal of Immunogenetics. 2005;32(3):167–171. doi: 10.1111/j.1744-313x.2005.00502.x. [DOI] [PubMed] [Google Scholar]
  • 19.Chang W. S., Wang S. C., Chuang C. L., et al. Contribution of interleukin-4 genotypes to lung cancer risk in Taiwan. Anticancer Research. 2015;3(11):6297–6301. [PubMed] [Google Scholar]
  • 20.El-Omar E. M., Rabkin C. S., Gammon M. D., et al. Increased risk of noncardia gastric cancer associated with proinflammatory cytokine gene polymorphisms. Gastroenterology. 2003;124(5):1193–1201. doi: 10.1016/s0016-5085(03)00157-4. [DOI] [PubMed] [Google Scholar]
  • 21.Li X., Shi W., Yu G., et al. Interleukin-4 -590T/C polymorphism influences the susceptibility to nonsmall cell lung cancer. DNA and Cell Biology. 2012;31(5):797–800. doi: 10.1089/dna.2011.1425. [DOI] [PubMed] [Google Scholar]
  • 22.Olson S. H., Orlow I., Simon J., et al. Allergies, variants in IL-4 and IL-4Rα genes, and risk of pancreatic cancer. Cancer Detection and Prevention. 2007;31(2):345–351. doi: 10.1016/j.cdp.2007.10.002. [DOI] [PubMed] [Google Scholar]
  • 23.Saxena R., Chawla Y. K., Verma I., Kaur J. Effect of IL-12B, IL-2, TGF-β1, and IL-4 polymorphism and expression on hepatitis B progression. Journal of Interferon & Cytokine Research. 2014;34(2):117–128. doi: 10.1089/jir.2013.0043. [DOI] [PubMed] [Google Scholar]
  • 24.Kesarwani P., Ahirwar D. K., Mandhani A., Mittal R. D. Association between −174 G/C promoter polymorphism of the interleukin-6 gene and progression of prostate cancer in north Indian population. DNA and Cell Biology. 2008;27(9):505–510. doi: 10.1089/dna.2008.0742. [DOI] [PubMed] [Google Scholar]
  • 25.Cozar J. M., Romero J. M., Aptsiauri N., et al. High incidence of CTLA-4 AA (CT60) polymorphism in renal cell cancer. Human Immunology. 2007;68(8):698–704. doi: 10.1016/j.humimm.2007.05.002. [DOI] [PubMed] [Google Scholar]
  • 26.Crusius J. B., Canzian F., Capellá G., et al. Cytokine gene polymorphisms and the risk of adenocarcinoma of the stomach in the European prospective investigation into cancer and nutrition (EPIC-EURGAST) Annals of Oncology. 2008;19(11):1894–1902. doi: 10.1093/annonc/mdn400. [DOI] [PubMed] [Google Scholar]
  • 27.Gaur P., Mittal M., Mohanti B. K., Das S. N. Functional variants of IL4 and IL6 genes and risk of tobacco-related oral carcinoma in high-risk Asian Indians. Oral Diseases. 2011;17(7):720–726. doi: 10.1111/j.1601-0825.2011.01831.x. [DOI] [PubMed] [Google Scholar]
  • 28.Gu J., Shen Y. Association between interleukin-4 polymorphisms and environment and nonsmall cell lung cancer in Chinese population. Journal of Cancer Research and Therapeutics. 2014;10(7):135–139. doi: 10.4103/0973-1482.145839. [DOI] [PubMed] [Google Scholar]
  • 29.Lai K.-C., Chen W.-C., Jeng L.-B., Li S.-Y., Chou M.-C., Tsai F.-J. Association of genetic polymorphisms of MK, IL-4, p16, p21, p53 genes and human gastric cancer in Taiwan. European Journal of Surgical Oncology (EJSO) 2005;31(10):1135–1140. doi: 10.1016/j.ejso.2005.07.005. [DOI] [PubMed] [Google Scholar]
  • 30.Liang X. L., Hu H. B., Jia A. P. Association of PTPN11 and interleukin-4 gene polymorphisms and helicobacter pylori infection with susceptibility to gastric cancer. Hai Nan Yi Xue. 2010;20(10):1–5. in Chinese. [Google Scholar]
  • 31.Lu Y., Wu Z., Peng Q., et al. Role of IL-4 gene polymorphisms in HBV-related hepatocellular carcinoma in a Chinese population. PLoS One. 2014;9(10) doi: 10.1371/journal.pone.0110061.e110061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Pan X.-F., Wen Y., Loh M., et al. Interleukin-4 and -8 gene polymorphisms and risk of gastric cancer in a population in Southwestern China. Asian Pacific Journal of Cancer Prevention. 2014;15(7):2951–2957. doi: 10.7314/apjcp.2014.15.7.2951. [DOI] [PubMed] [Google Scholar]
  • 33.Yang C.-M., Chen H.-C., Hou Y.-Y., et al. A high IL-4 production diplotype is associated with an increased risk but better prognosis of oral and pharyngeal carcinomas. Archives of Oral Biology. 2014;59(1):35–46. doi: 10.1016/j.archoralbio.2013.09.010. [DOI] [PubMed] [Google Scholar]
  • 34.Zambon C. F., Basso D., Marchet A., et al. IL-4 -588C>T polymorphism and IL-4 receptor alpha [Ex5+14A>G; Ex11+828A>G] haplotype concur in selecting H. pylori cagA subtype infections. Clinica Chimica Acta. 2008;389(1-2):139–145. doi: 10.1016/j.cca.2007.12.008. [DOI] [PubMed] [Google Scholar]
  • 35.Ando T., Ishikawa T., Kato H., et al. Synergistic effect of HLA class II loci and cytokine gene polymorphisms on the risk of gastric cancer in Japanese patients with Helicobacter pylori infection. International Journal of Cancer. 2009;125(11):2595–2602. doi: 10.1002/ijc.24666. [DOI] [PubMed] [Google Scholar]
  • 36.Denny C. M., Sánchez A. C., Rosas D. A. Preliminary analysis of single-nucleotide polymorphisms in IL-10, IL-4, and IL-4Rα genes and profile of circulating cytokines in patients with gastric cancer. BMC Gastroenterology. 2018;18(1):184–186. doi: 10.1186/s12876-018-0913-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tan N., Song J., Yan M., et al. Association between IL‐4 tagging single nucleotide polymorphisms and the risk of lung cancer in China. Molecular Genetics & Genomic Medicine. 2019;7(4) doi: 10.1002/mgg3.585.e00585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Chu H., Wang M., Yan F., et al. Polymorphisms in the IL-13 and IL-4R genes are associated with the development of renal cell carcinoma. Annals of Oncology. 2012;23(8):2114–2121. doi: 10.1093/annonc/mdr607. [DOI] [PubMed] [Google Scholar]
  • 39.Chu H., Ma L., Wang M., et al. The polymorphisms of IL-4, IL-4R and IL-13 genes and bladder cancer risk in a Chinese population: a case-control study. Molecular Biology Reports. 2012;39(5):5349–5357. doi: 10.1007/s11033-011-1334-9. [DOI] [PubMed] [Google Scholar]
  • 40.Tsai M. H., Chen W. C., Tsai C. H., Hang L.-W., Tsai F.-J. Interleukin-4 gene, but not the interleukin-1 beta gene polymorphism, is associated with oral cancer. Journal of Clinical Laboratory Analysis. 2005;19(3):93–98. doi: 10.1002/jcla.20060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Keith E. D., Romine P. E., Goodman G. E., Thornquist M. D., Barnett M. J., Petersdorf E. W. Inflammatory gene polymorphisms in lung cancer susceptibility. Journal of Thoracic Oncology. 2018;13(5):649–659. doi: 10.1016/j.jtho.2018.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]

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