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. 2020 Aug 11;40(8):BSR20193895. doi: 10.1042/BSR20193895

Investigation of IL-4, IL-10, and HVEM polymorphisms with esophageal squamous cell carcinoma: a case–control study involving 1929 participants

Shuchen Chen 1, Rui Cao 1, Chao Liu 2, Weifeng Tang 1,, Mingqiang Kang 1,3,
PMCID: PMC7419785  PMID: 32744314

Abstract

It is believed that an individual’s hereditary factors may be involved in the development of esophageal cancer (EC). The present study recruited 721 esophageal squamous cell carcinoma (ESCC) cases and 1208 controls and explored the roles of single nucleotide polymorphisms (SNPs) in the interleukin-4 (IL-4), IL-10, and herpesvirus entry mediator (HVEM) genes in contributing to ESCC risk. IL-4, IL-10, and HVEM SNPs were analyzed by employing an SNPscan method. After adjustment for body mass index (BMI), smoking, drinking, age and gender, we identified that the rs2070874 T>C locus in IL-4 gene decreased the risk of ESCC (CC vs. TT: P=0.008; CC vs. TT/TC: P=0.010). After a stratified analysis, we suggested that the IL-4 rs2070874 T>C variants might be a protective factor for ESCC in male, ≥63 years old, never smoking, drinking and BMI < 24 kg/m2 subgroups. In addition, we identified that the rs2243263 G>C polymorphism in IL-4 gene was a risk factor for ESCC development in the BMI ≥ 24 kg/m2 subgroup (GC vs. GG: P=0.030 and GC/CC vs. GG: P=0.018). We identified an association of the IL-4 rs2070874 T>C SNP with the decreased susceptibility of ESCC in stage I/II subgroup. Finally, we found an association of the IL-10 rs1800872 T>G SNP with a worse differentiation (TG vs. TT: P=0.048 and GG/TG vs. TT: P=0.032). In conclusion, the findings indicate a potential importance of IL-4 rs2070874 T>C, IL-4 rs2243263 G>C and IL-10 rs1800872 T>G SNPs in the development of ESCC.

Keywords: Interleukin-4, Interleukin-10, Herpesvirus entry mediator, Polymorphism, Risk, Esophageal cancer

Introduction

In China, esophageal cancer (EC) is the fourth most frequently diagnosed form of malignant tumor in males and the fifth most commonly diagnosed form in females, approximately 320800 and 157200 cases occurred in 2015, respectively [1]. The incidence of EC in Eastern Asia is in the top five worldwide, including China. Esophageal squamous cell carcinoma (ESCC) is a major histological subtype, accounting for 90% of all EC cases. The complex interaction of economical and environmental conditions with individual’s hereditary factors may lead to EC development [2,3]. The etiology and development of EC is not fully understood, despite many investigations have payed close attention to the importance of immunity [4,5]. Recently, it was hypothesized that some important variants in immune-related genes may influence the susceptibility of ESCC.

Interleukin-4 (IL-4), coded by the IL-4 gene, is an important regulator of the inflammation pathways. IL-4, a pleiotropic cytokine, may be correlated with survival and growth of lymphocytes [6]. IL-4 is produced by mast cell precursors and by the T-cell thymocyte populations. It is important for B-cell activation, proliferation and differentiation [7]. It is reported that IL-4 is necessary for producing immunoglobulin E and implicated in immune diseases. In the process of innate immune responses, IL-4 may activate M2 macrophage, and then play a specific role. It has anti-inflammatory effect, which is relevant to the development of ESCC. Recently, a number of studies have focused on the relationship of IL-4 with cancer development [8,9]. IL-4 single nucleotide polymorphisms (SNPs) have also been explored for an association with susceptibility to cancer [10–12]. The rs2070874 T>C, located in the 5′-UTR region of the IL-4 gene, is an important SNP in cancer development. Some meta-analyses have indicated that IL-4 rs2070874 may be associated with cancer development in Asian populations [13–15]. Kim et al. reported that IL-4 rs2070874 might affect the role of aspirin in regulating IL-4 expression [16]. Rs2243263 G>C polymorphism is an intron SNP of IL-4 gene. This intron SNP might play a role in splicing. Although the exact role of this intron SNP is unknown, the associations of IL-4 rs2243263 G>C SNP with the human disease have been explored. A previous study suggested that IL-4 rs2243263 was associated with the reverse seroconversion of Hepatitis B virus (HBV) [17]. This SNP was also studied for the relationship of the susceptibility to cancer. A previous report investigated the correlation of the IL-4 rs2243263 locus with colorectal cancer [18]. Although in this study, a null association was identified. However, Lan et al., in a large simple size study, found that the IL-4 rs2243263 G>C SNP might increase the susceptibility to non-Hodgkin lymphoma [19]. Currently, the associations of IL-4 the rs2070874 T>C, and rs2243263 G>C polymorphisms with ESCC development are unknown.

The IL-10 gene is located in chromosome 1q32.2. IL-10, another immune regulator, serves as an inhibitor of dendritic cells and macrophages [20], and inhibits the production of many inflammatory cytokines (e.g. tumor necrosis factor-α, IL-1, IL-6, IL-12, and others) [21]. IL-10 is a vital anti-inflammatory regulator. After IL-10 combines with its receptor (IL-10R), signal transducer and activator of transcription 3 is triggered, which plays a vital role in anti-apoptosis and proliferation [20]. An investigation found that the up-regulated mRNA expression of the IL-10 gene and higher serum levels of IL-10 were found among subjects who carried the rs1800896 G-allele [22]. The rs1800872 SNP, a promotor variant, could influence the level of IL-10 protein [23]. Some investigations have suggested that the IL-10 rs1800896 A>G (−1082) [24] and rs1800872 A>C (−592) [25] variants may influence the susceptibility to ESCC. Of late, a meta-analysis indicated that these IL-10 SNPs increased the risk of EC [26]. However, in this earlier meta-analysis, the sample size was very limited (1883 EC patients and 2857 controls included). The association of the IL-10 rs1800896 A>G and rs1800872 A>C polymorphisms with EC development should be further studied.

Herpesvirus entry mediator (HVEM), also known as TNFRSF14, plays a major role in the immune response [27–29]. HVEM has been found to be expressed in lymphoid cells, as well as in other cells. A previous study suggested that the HVEM/B- and T-lymphocyte attenuator/lymphotoxin/CD160 network in immune reaction to infection and inflammation could play a bidirectional regulatory role [30]. Several investigations have focused on the role of HVEM in cancer survival [31–33]. Zhu et al. reported that higher expression of HVEM may promote apoptosis and herald a good prognosis for bladder cancer patients [34]. Additionally, a previous study has indicated that HVEM is implicated in the development of breast cancer (BC) [35]. A SNP in the HVEM gene, the G to A of rs2234167 in the exon region, was found to influence the development of BC [36]. However, the association of HVEM rs2234167 G>A SNP with the expression of HVEM is unknown. Recently, Migita et al. found that HVEM is critical for both tumor survival and the escape of the host immune system in ESCC cases [37]. Thus, it could be a useful target for ESCC therapy. To date, investigation has not been performed to identify a relationship of the HVEM rs2234167 G>A polymorphism with ESCC susceptibility.

Therefore, in this investigation, the HVEM rs2234167, IL-4 rs2070874 and rs2243263, and IL-10 rs1800896 and rs1800872 polymorphisms were selected and investigated for their effect on ESCC development in a Chinese Han population.

Materials and methods

Subjects

Our case−control study was performed in Fujian Union Hospital (Fuzhou, China) and the No.1 People’s Hospital of Zhenjiang City (Zhenjiang, China). This investigation was approved by Jiangsu University (registration ID: K-20160036-Y) and Fujian Medical University (registration ID: 2016-ZQN-25). Participants were recruited between February 2014 and April 2018. Our study included 721 ESCC cases and 1208 controls. These ESCC patients were histopathologically confirmed and were from 41 to 87 years old. Controls were cancer-free individuals from 40 to 87 years old. The controls were not related to any ESCC case. Using a pre-structured questionnaire, we collected epidemiological data from participants. The ESCC patients and normal controls signed consent forms.

DNA extraction and genotyping of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci

We collected a blood sample (2 ml) from each participant. DNA was extracted carefully as described in a previous study [38]. Using an SNPscan™ assay (Genesky Biotechologies Inc., Shanghai, China), we determined the genotypes of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 polymorphisms. To confirm the accuracy of genotyping, 77 samples were selected and re-tested. The genotypes of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci were re-analyzed by another technician. The genotypes of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 SNPs were unchanged.

Statistical analysis

The difference in alcohol consumption, body mass index (BMI), gender, cigarette use, and age were tested by using χ2 test. Mean age was calculated by using a Student’s t test. We used a Chi-square test (χ2) or Fisher’s exact test to determine whether the frequencies of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 variants in ESCC cases and controls were different. A multivariate logistic regression analysis method was used to calculate the crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) (SAS 9.4 software package; SAS Institute Inc., Cary, NC, U.S.A.). The relationship of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 polymorphisms with ESCC development was determined by ORs and 95% CIs. The statistical significance of all analyses was P<0.05 (two-sided). An internet-based Hardy–Weinberg equilibrium (HWE) test (http://ihg.gsf.de/cgi-bin/hw/hwa1.pl) was also harnessed to assess whether the distribution of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 genotypes could represent the included population.

Results

Baseline characteristics

In total, 721 ESCC cases and 1208 controls were recruited (Table 1). Of these ESCC cases, 170 were females and 551 were males, average age was 62.59 ± 8.18 years. In the control group, there were 309 females and 899 males with an average age of 62.92 ± 8.94 years. There was no difference in terms of mean age (P=0.413). The categorical variables, age and gender, were well-matched (P>0.05). However, the distribution of other categorical variables (e.g. tobacco use, BMI, and drinking status) were significantly different (all P<0.001). Among ESCC cases, there were 405 (56.17%) with lymphatic metastasis. The AJCC version 8.0 criteria (2018) was used to determine the ESCC stage; and 328 ESCC cases were stage I/II and 393 were stage III/IV. After genotyping the 1929 participants, the association of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 genotypes with ESCC risk was assessed.

Table 1. Distribution of selected demographic variables and risk factors in ESCC cases and controls.

Variable Cases (n=721) Controls (n=1208) P1
n n
Age (years) 62.59 ± 8.18 62.92 ± 8.94 0.413
Age (years) 0.613
  <63 337 579
  ≥63 384 629
Sex 0.325
  Male 551 899
  Female 170 309
Tobacco use <0.001
  Never 342 881
  Ever 379 327
Alcohol use <0.001
  Never 502 1,046
  Ever 219 162
BMI (kg/m2) <0.001
  <24 527 651
  ≥24 194 557
Lymph node status
Positive 405
Negative 316
TMN stage
  I 143
  II 185
  III 307
  IV 86
Grade
  G1 142
  G2 405
  G3 174

Bold values are statistically significant (P<0.05). Abbreviation: TMN, tumor-lymph node-metastasis.

1

Two-sided χ2 test and Student’s t test.

The minor allele frequencies (MAFs) of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci are shown in Table 2. They are similar to the data of Chinese population. As presented in Table 2, the HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 genotypes in controls accorded with HWE.

Table 2. Primary information for the included SNPs.

Genotyped polymorphisms HVEM rs2234167 G>A IL-4 rs2070874 T>C IL-4 rs2243263 G>C IL-10 rs1800872 T>G IL-10 rs1800896 T>C
Chromosome 1 5 5 1 1
Position_38 2562891 132674018 132677607 206773062 206773552
Region 3′-UTR 5′-UTR intron_variant 5′-flanking 5′-flanking
MAF1 in database (1000g- Chinese Han populatons) 0.058 0.228 0.072 0.286 0.048
MAF in our controls (n=1208) 0.036 0.196 0.065 0.324 0.060
P-value for HWE2 test in our controls 0.239 0.484 0.593 0.825 0.871
% Genotyping value 99.38% 99.38% 99.27% 99.33% 99.22%
1

MAF.

2

HWE.

Relationship of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci with ESCC

Table 3 shows the HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 genotypes. The frequencies of IL-4 rs2070874 TT, TC, and CC genotypes were 486 (67.88%), 214 (29.89%), and 16 (2.23%) in ESCC cases and 780 (64.95%), 371 (30.89%), and 50 (4.16%) in controls. When the reference was IL-4 rs2070874 TT genotype, we found the IL-4 rs2070874 CC genotype significantly decreased the risk of ESCC (P=0.023). When the reference was IL-4 rs2070874 TT/TC genotype, the IL-4 rs2070874 CC genotype also significantly decreased the risk of ESCC (P=0.028). Adjustment for BMI, smoking, drinking, age and gender, the decreased susceptibility was also identified (CC vs. TT: P=0.008; CC vs. TT/TC: P=0.010).

Table 3. The frequencies of HVEM rs2234167, IL-4 rs2070874, rs2243263, and IL-10 rs1800896 and rs1800872 polymorphisms in different ESCC subgroups.

Genotype Overall cases (n=721) Stage I/II patients (n=328) Stage III/IV patients (n=393) Controls (n=1208)
n % n % n % n %
HVEM rs2234167 G>A
GG 668 93.30 302 92.92 366 93.61 1,117 93.01
GA 47 6.56 23 7.08 24 6.14 81 6.74
AA 1 0.14 0 0.0 1 0.26 3 0.25
A allele 49 3.42 23 3.54 26 3.32 87 3.62
IL-4 rs2070874 T>C
TT 486 67.88 223 68.62 263 67.26 780 64.95
TC 214 29.89 96 29.54 118 30.18 371 30.89
CC 16 2.23 6 1.85 10 2.56 50 4.16
C allele 246 17.18 108 16.62 138 17.65 471 19.61
IL-4 rs2243263 G>C
GG 615 86.13 282 87.04 333 85.38 1,048 87.26
GC 96 13.45 41 12.65 55 14.10 149 12.41
CC 3 0.42 1 0.31 2 0.51 4 0.33
C allele 102 7.14 43 6.64 59 7.56 157 6.54
IL-10 rs1800872 T>G
TT 349 48.81 161 49.54 188 48.21 550 45.80
TG 301 42.10 136 41.85 165 42.31 523 43.55
GG 65 9.09 28 8.62 37 9.44 128 10.65
G allele 431 30.14 192 29.54 239 30.64 779 32.43
IL-10 rs1800896 T>C
TT 625 87.66 280 86.42 345 88.69 1,061 88.34
TC 84 11.78 42 12.96 42 10.80 136 11.32
CC 4 0.56 2 0.62 2 0.51 4 0.34
C allele 92 6.45 46 7.10 46 5.91 144 6.00

HVEM rs2234167, IL-4 rs2243263 and IL-10 rs1800896 and rs1800872 genotypes are shown in Table 3. Both crude and adjusted comparisons indicated that HVEM rs2234167, IL-4 rs2243263, and IL-10 rs1800896 and rs1800872 loci were not associated with the risk of ESCC (Table 4).

Table 4. Logistic regression analyses of association of HVEM rs2234167, IL-4 rs2070874, rs2243263 and IL-10 rs1800896 and rs1800872 polymorphisms with risk of ESCC.

Genotype Overall patients (n=721) vs. controls (n=1208) Stage I/II patients (n=328) vs. controls (n=1208) Stage III/IV patients (n=393) vs. controls (n=1208)
Crude OR (95% CI) P Adjusted OR1 (95% CI) P Crude OR (95% CI) P Adjusted OR1 (95% CI) P Crude OR (95% CI) P Adjusted OR1 (95% CI) P
HVEM rs2234167 G>A
  GA vs. GG 0.97 (0.67–1.41) 0.874 0.99 (0.67–1.47) 0.952 1.05 (0.65–1.70) 0.841 1.03 (0.63–1.69) 0.895 0.90 (0.57–1.45) 0.675 0.97 (0.59–1.60) 0.903
  AA vs. GG 0.56 (0.06–5.37) 0.613 0.40 (0.04–4.49) 0.459 - - - - 1.02 (0.11–9.81) 0.988 0.73 (0.06–8.96) 0.806
  GA/AA vs. GG 0.96 (0.66–1.38) 0.809 0.96 (0.65–1.42) 0.852 1.01 (0.63–1.63) 0.959 1.00 (0.61–1.63) 0.985 0.91 (0.57–1.44) 0.683 0.96 (0.59–1.57) 0.868
  AA vs. GG/GA 0.56 (0.06–5.38) 0.615 0.40 (0.04–4.49) 0.460 - - - - 1.02 (0.11–9.87) 0.984 0.73 (0.06–8.98) 0.807
IL-4 rs2070874 T>C
  TC vs. TT 0.93 (0.76–1.13) 0.456 0.92 (0.75–1.15) 0.473 0.91 (0.69–1.19) 0.468 0.93 (0.70–1.22) 0.586 0.94 (0.74–1.21) 0.647 0.95 (0.72–1.24) 0.687
  CC vs. TT 0.51 (0.29–0.91) 0.023 0.45 (0.24–0.81) 0.008 0.42 (0.18–0.99) 0.048 0.36 (0.15–0.87) 0.022 0.59 (0.30–1.19) 0.140 0.52 (0.25–1.09) 0.083
  TC/CC vs. TT 0.88 (0.72–1.07) 0.190 0.86 (0.70–1.06) 0.163 0.85 (0.65–1.10) 0.217 0.85 (0.65–1.11) 0.239 0.90 (0.71–1.15) 0.403 0.89 (0.69–1.16) 0.383
  CC vs. TT/TC 0.53 (0.30–0.93) 0.028 0.46 (0.25–0.83) 0.010 0.43 (0.18–1.02) 0.055 0.37 (0.15–0.88) 0.025 0.60 (0.30–1.20) 0.152 0.53 (0.26–1.10) 0.089
IL-4 rs2243263 G>C
  GC vs. CC 1.10 (0.83–1.45) 0.506 1.08 (0.81–1.45) 0.596 1.02 (0.71–1.48) 0.905 1.03 (0.70–1.51) 0.883 1.16 (0.83–1.62) 0.378 1.15 (0.80–1.64) 0.456
  CC vs. GG 1.28 (0.29–5.73) 0.749 1.27 (0.26–6.13) 0.763 0.93 (0.10–8.35) 0.949 0.84 (0.09–8.01) 0.876 1.57 (0.29–8.63) 0.601 1.58 (0.25–9.82) 0.627
  GC/CC vs. GG 1.10 (0.84–1.45) 0.481 1.09 (0.82–1.45) 0.569 1.02 (0.71–1.47) 0.915 1.02 (0.70–1.49) 0.904 1.17 (0.84–1.63) 0.342 1.16 (0.81–1.65) 0.418
  CC vs. GG/GC 1.26 (0.28–5.66) 0.761 1.26 (0.26–6.06) 0.773 0.93 (0.10–8.32) 0.947 0.83 (0.09–7.98) 0.874 1.54 (0.28–8.46) 0.617 1.55 (0.25–9.64) 0.640
IL-10 rs1800872 T>G
  TG vs. TT 0.91 (0.75–1.10) 0.327 0.94 (0.76–1.16) 0.549 0.89 (0.69–1.15) 0.368 0.90 (0.69–1.18) 0.458 0.92 (0.73–1.17) 0.514 0.95 (0.73–1.23) 0.696
  GG vs. TT 0.80 (0.58–1.11) 0.182 0.81 (0.57–1.14) 0.222 0.75 (0.48–1.17) 0.200 0.76 (0.48–1.19) 0.226 0.85 (0.57–1.26) 0.413 0.87 (0.56–1.33) 0.513
  GG/TG vs. TT 0.89 (0.74–1.07) 0.201 0.91 (0.75–1.11) 0.359 0.86 (0.67–1.10) 0.230 0.88 (0.68–1.13) 0.299 0.91 (0.72–1.14) 0.407 0.93 (0.73–1.19) 0.581
  GG vs. TT/TG 0.84 (0.61–1.15) 0.271 0.83 (0.60–1.16) 0.273 0.79 (0.52–1.21) 0.282 0.79 (0.51–1.23) 0.296 0.88 (0.60–1.29) 0.510 0.89 (0.59–1.34) 0.572
IL-10 rs1800896 T>C
  TC vs. TT 1.05 (0.79–1.40) 0.748 1.02 (0.75–1.39) 0.894 1.17 (0.81–1.70) 0.405 1.18 (0.80–1.72) 0.408 0.95(0.66–1.37) 0.783 0.88 (0.59–1.31) 0.532
  CC vs. TT 1.70 (0.42–6.81) 0.455 1.71 (0.40–7.33) 0.468 1.90 (0.35–10.41) 0.461 1.71 (0.29–9.92) 0.550 1.54 (0.28–8.43) 0.620 1.63 (0.27–9.70) 0.593
  TC/CC vs. TT 1.07 (0.80–1.42) 0.653 1.04 (0.77–1.41) 0.793 1.19 (0.83–1.71) 0.346 1.19 (0.82–1.73) 0.360 0.97 (0.68–1.39) 0.854 0.90 (0.61–1.33) 0.604
  CC vs. TT/TC 1.69 (0.42–6.77) 0.460 1.71 (0.40–7.30) 0.469 1.86 (0.34–10.21) 0.474 1.68 (0.29–9.72) 0.565 1.55 (0.28–8.48) 0.615 1.65 (0.28–9.82) 0.584
1

Adjusted for age, sex, smoking status, alcohol use and BMI status. Bold values are statistically significant (P<0.05).

Additionally, a subgroup analysis was conducted by ESCC stage. We identified an association between IL-4 rs2070874 T>C SNP and the decreased susceptibility of ESCC in stage I/II subgroup (CC vs. TT: P=0.022; CC vs. TT/TC: P=0.025, Table 4). However, this association could not been identified for other SNPs.

Relationship of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci with ESCC in stratified analyses

In a stratified analysis, the IL-4 rs2070874 genotypes are listed in Table 5. After an adjustment, we suggested that IL-4 rs2070874 C allele was a protective factor for ESCC in five subgroups (male subgroup: CC vs. TT: P=0.028; CC vs. TT/TC: P=0.031; ≥63 years old subgroup: CC vs. TT: P=0.026; CC vs. TT/TC: P=0.029; never smoking subgroup: CC vs. TT: P=0.041; CC/TC vs. TT: P=0.013 and TC vs. TT: P=0.042; drinking subgroup: CC vs. TT: P=0.025; CC vs. TT/TC: P=0.024 and BMI < 24 kg/m2 subgroup: CC vs. TT: P=0.010; CC vs. TT/TC: P=0.012). In other subgroups, no association of L-4 rs2070874 with ESCC risk was found (Table 5).

Table 5. Stratified analyses between IL-4 rs2070874 T>C polymorphism and CRC risk by sex, age, BMI, smoking status, and alcohol consumption.

Variable IL-4 rs2070874 T>C (case/control)1 Adjusted OR2 (95% CI); P
TT TC CC TT TC CC TC /CC CC vs. (TC/TT)
Sex
Male 366/578 168/282 12/35 1.00 0.93 (0.73–1.20);
P: 0.593
0.45 (0.22–0.92);
P: 0.028
0.88 (0.69–1.12);
P: 0.281
0.46 (0.23–0.93);
P: 0.031
Female 120/202 46/89 4/15 1.00 0.94 (0.61–1.45);
P: 0.785
0.44 (0.14–1.37);
P: 0.154
0.86 (0.57–1.31);
P: 0.489
0.44 (0.14–1.38);
P: 0.161
Age (years)
<63 164/292 84/143 4/18 1.00 0.94 (0.68–1.29);
P: 0.681
0.50 (0.19–1.31);
P: 0.160
0.89 (0.65–1.22);
P: 0.465
0.51 (0.20–1.34);
P: 0.171
≥63 322/488 130/228 12/32 1.00 0.91 (0.68–1.23);
P: 0.546
0.41 (0.19–0.90);
P: 0.026
0.84 (0.63–1.11);
P: 0.220
0.42 (0.20–0.92);
P: 0.029
Smoking status
Never 246/564 87/276 7/34 1.00 0.74 (0.55–0.99);
P: 0.042
0.41 (0.18–0.96);
P: 0.041
0.70 (0.53–0.93);
P: 0.013
0.45 (0.20–1.05);
P: 0.064
Ever 240/216 127/95 9/16 1.00 1.26 (0.90–1.76);
P: 0.177
0.50 (0.21–1.19);
P: 0.116
1.15 (0.83–1.58);
P: 0.404
0.46 (0.20–1.09);
P: 0.079
Alcohol consumption
Never 341/675 146/323 13/42 1.00 0.91 (0.71–1.16);
P: 0.428
0.54 (0.28–1.1.03);
P: 0.062
0.86 (0.68–1.09);
P: 0.209
0.55 (0.29–1.06);
P: 0.074
Ever 145/105 68/48 3/8 1.00 1.01 (0.62–1.63);
P: 0.979
0.20 (0.05–0.82);
P: 0.025
0.88 (0.55–1.39);
P: 0.570
0.20 (0.05–0.81);
P: 0.024
BMI (kg/m2)
<24 356/417 154/196 12/32 1.00 0.92 (0.70–1.20);
P: 0.517
0.40 (0.20–0.81);
P: 0.010
0.84 (0.65–1.08);
P: 0.179
0.41 (0.20–0.82);
P: 0.012
≥24 130/363 60/175 4/18 1.00 0.94 (0.65–1.35);
P: 0.719
0.59 (0.19–1.822);
P: 0.359
0.90 (0.63–1.29);
P: 0.573
0.60 (0.20–1.85);
P: 0.376
1

For IL-4 rs2070874 T>C, the genotyping was successful in 716 (99.31%) CRC cases and 1201 (99.42%) controls.

2

Adjusted for multiple comparisons [age, sex, BMI, smoking status and alcohol consumption (besides stratified factors accordingly)] in a logistic regression model.

Bold values are statistically significant (P<0.05).

The IL-4 rs2243263 G>C genotypes in the stratified analysis are listed in Table 6. After adjustment, we identified that IL-4 rs2243263 G>C polymorphism was a risk factor for ESCC development in the BMI ≥ 24 kg/m2 subgroup (GC vs. GG: P=0.030 and GC/CC vs. GG: P=0.018, Table 6).

Table 6. Stratified analyses between IL-4 rs2243263 G>C polymorphism and CRC risk by sex, age, BMI, smoking status, and alcohol consumption.

Variable IL-4 rs2243263 G>C (case/control)1 Adjusted OR2 (95% CI); P
GG GC CC GG GC CC GC/CC CC vs. (GC/GG)
Sex
Male 464/779 79/113 2/3 1.00 1.16 (0.83–1.61);
P: 0.388
1.22 (0.18–8.29);
P: 0.838
1.16 (0.84-1.61);
P: 0.378
1.20 (0.18–8.11);
P: 0.854
Female 151/269 17/36 1/1 1.00 0.86 (0.46–1.60);
P: 0.636
1.37 (0.09–22.20);
P: 0.825
0.88 (0.48–1.61);
P: 0.674
1.39 (0.09–22.54);
P: 0.816
Age
<63 215/392 34/59 1/3 1.00 1.06 (0.69–1.65);
P: 0.780
0.55 (0.04–7.64);
P: 0.656
1.05 (0.68–1.61);
P: 0.836
0.55 (0.04–7.57);
P: 0.652
≥63 400/656 62/90 2/1 1.00 1.12 (0.76–1.67);
P: 0.567
1.98 (0.26–14.94);
P: 0.507
1.14 (0.77–1.69);
P: 0.503
1.95 (0.26–14.70);
P: 0.517
Smoking status
Never 300/763 38/108 1/2 1.00 0.90 (0.60–1.34);
P: 0.601
0.72 (0.07–7.31);
P: 0.780
0.89 (0.60–1.33);
P: 0.577
0.73 (0.07–7.41);
P: 0.788
Ever 315/285 58/41 2/2 1.00 1.39 (0.89–2.18);
P: 0.147
2.86 (0.23–35.48);
P: 0.414
1.42 (0.91–2.21);
P: 0.121
2.71 (0.22–33.47);
P: 0.438
Alcohol consumption
Never 433/903 63/134 3/3 1.00 0.96 (0.69–1.33);
P: 0.787
2.04 (0.39–10.55);
P: 0.397
0.98 (0.71–1.36);
P: 0.901
2.05 (0.40–10.61);
P: 0.393
Ever 182/145 33/15 0/1 1.00 1.86 (0.93–3.73);
P: 0.080
- 1.70 (0.86–3.35);
P: 0.127
-
BMI (kg/m2)
<24 457/553 62/89 3/3 1.00 0.84 (0.59–1.22);
P: 0.364
0.37 (0.04–3.96);
P: 0.414
0.83 (0.58-1.19);
P: 0.307
0.38 (0.04–4.04);
P: 0.424
≥24 158/495 34/60 0/1 1.00 1.69 (1.05–1.2.71);
P: 0.030
5.12 (0.42–62.14);
P: 0.200
1.75 (1.10–2.78);
P: 0.018
4.73 (0.39–57.51);
P: 0.223
1

For IL-4 rs2243263 G>C, the genotyping was successful in 714 (99.03%) CRC cases and 1201 (99.42%) controls.

2

Adjusted for multiple comparisons [age, sex, BMI, smoking status and alcohol consumption (besides stratified factors accordingly)] in a logistic regression model.

Bold values are statistically significant (P<0.05).

In other stratified analyses, adjustment comparisons suggested that HVEM rs2234167, and IL-10 rs1800872 and rs1800896 loci did not confer a risk of ESCC (data not shown).

Association of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci with lymphatic metastasis in ESCC cases

Among the 721 ESCC patients, 405 patients had lymphatic metastasis. As presented in Table 7, we found a null association of HVEM rs2234167, IL-4 rs2070874, rs2243263 and IL-10 rs1800896 and rs1800872 SNPs with different lymph node status.

Table 7. Logistic regression analyses of association between HVEM rs2234167, IL-4 rs2070874, rs2243263 and IL-10 rs1800896 and rs1800872 polymorphisms and lymph node status in ESCC patients.

Genotype Positive (n=405) Negative (n=316) Crude OR (95% CI) P Adjusted OR1 (95% CI) P
n % n %
HVEM rs2234167 G>A
GG 378 93.80 290 92.65 1.00 1.00
GA 24 5.96 23 7.35 0.80 (0.44–1.45) 0.461 0.81 (0.44–1.49) 0.500
AA 1 0.25 0 0 - - - -
GA + AA 25 6.20 23 7.35 0.83 (0.46–1.50) 0.544 0.84 (0.46–1.53) 0.573
GG+GA 402 99.75 313 100.00 1.00 1.00
AA 1 0.25 0 0 - - - -
A allele 26 3.23 23 3.67
IL-4 rs2070874 T>C
TT 275 68.24 211 67.41 1.00
TC 118 29.28 96 30.67 0.94 (0.68–1.30) 0.723 0.91 (0.66–1.27) 0.589
CC 10 2.48 6 1.92 1.28 (0.46–3.57) 0.639 1.29 (0.45–3.70) 0.637
CC+TC 128 31.76 102 32.59 0.96 (0.70–1.32) 0.814 0.93 (0.68–1.29) 0.681
TT+TC 393 97.52 307 98.08 1.00 1.00
CC 10 2.48 6 1.92 1.30 (0.47–3.62) 0.613 1.33 (0.47–3.79) 0.597
C allele 138 17.12 108 17.25
IL-4 rs2243263 G>C
GG 346 86.07 269 86.22 1.00 1.00
GC 54 13.42 42 13.46 1.00 (0.65–1.54) 0.999 1.02 (0.65–1.59) 0.932
CC 2 0.50 1 0.32 1.56 (0.14–17.24) 0.719 2.18 (0.19–24.54) 0.529
CG+CC 56 13.93 43 13.78 1.01 (0.66–1.55) 0.955 1.04 (0.67–1.62) 0.851
GG+GC 400 99.50 311 99.68 1.00 1.00
CC 2 0.50 1 0.32 1.56 (0.14–17.23) 0.719 2.17 (0.19–24.43) 0.531
C allele 58 7.21 44 7.05
IL-10 rs1800872 T>G
TT 195 48.51 154 49.20 1.00
TG 169 42.04 132 42.17 1.01 (0.74–1.38) 0.944 1.01 (0.73–1.38) 0.968
GG 38 9.45 27 8.63 1.11 (0.65–1.90) 0.700 1.17 (0.68–2.03) 0.576
GG+TG 207 51.49 159 50.80 1.03 (0.77–1.38) 0.854 1.03 (0.76–1.40) 0.828
TT+TG 364 90.55 286 88.54 1.00 1.00
GG 38 9.45 27 8.63 1.11 (0.66–1.86) 0.703 1.17 (0.69–1.98) 0.570
G allele 245 30.47 186 29.71
IL-10 rs1800896 T>C
TT 356 88.78 269 86.22 1.00
TC 43 10.72 41 13.14 0.79 (0.50–1.25) 0.318 0.82 (0.51–1.31) 0.404
CC 2 0.50 2 0.64 0.76 (0.11–5.40) 0.780 0.88 (0.12–6.44) 0.897
CC+TC 45 11.22 43 13.78 0.79 (0.51–1.24) 0.303 0.82 (0.52–1.30) 0.402
TT+TC 399 99.50 310 99.36 1.00 1.00
CC 2 0.50 2 0.64 0.78 (0.11–5.55) 0.801 0.90 (0.12–6.61) 0.918
C allele 47 5.86 45 7.21
1

Adjusted for age, sex, smoking, alcohol use, and BMI status.

Association of HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872 loci with tumor grade of ESCC cases

As presented in Table 1, 142 patients had well-differentiated tumors, 405 had moderately differentiated, tumors and 174 has poorly differentiated tumors. We found an association of the IL-10 rs1800872 T>G SNP with a worse differentiation (TG vs. TT: P=0.048 and GG/TG vs. TT: P=0.032, Table 8).

Table 8. Logistic regression analyses of association between HVEM rs2234167, IL-4 rs2070874, rs2243263 and IL-10 rs1800896 and rs1800872 polymorphisms and grades of ESCC.

Genotype G2+G3 (n=579) G1 (n=142) Crude OR (95% CI) P Adjusted OR1 (95% CI) P
n % n %
HVEM rs2234167 G>A
GG 541 93.44 127 89.44 1.00 1.00
GA 33 5.70 14 9.86 0.55 (0.29–1.07) 0.076 0.57 (0.30–1.11) 0.099
AA 1 0.17 0 0 - - - -
GA + AA 34 5.87 14 9.86 0.57 (0.30–1.09) 0.091 0.59 (0.31–1.13) 0.112
GG+GA 574 99.14 141 99.30 1.00 1.00
AA 1 0.17 0 0 - - - -
A allele 35 3.02 14 4.93
IL-4 rs2070874 T>C
TT 391 67.53 95 66.90 1.00
TC 173 29.88 41 28.87 1.03 (0.68–1.54) 0.905 1.06 (0.70–1.60) 0.785
CC 11 1.90 5 3.52 0.54 (0.18–1.58) 0.256 0.56 (0.19–1.66) 0.296
CC+TC 184 31.78 46 32.39 0.97 (0.66–1.44) 0.887 1.01 (0.68–1.50) 0.981
TT+TC 564 97.41 136 95.77 1.00 1.00
CC 11 1.92 5 3.52 0.53 (0.18–1.55) 0.247 0.55 (0.19–1.62) 0.278
C allele 195 16.84 51 17.96
IL-4 rs2243263 G>C
GG 493 85.15 122 85.92 1.00 1.00
GC 78 13.47 18 12.68 1.07 (0.62–1.86) 0.803 1.13 (0.65–1.96) 0.674
CC 2 0.35 1 0.70 0.50 (0.05–5.50) 0.567 0.62 (0.05–7.19) 0.702
CG+CC 80 13.82 19 13.38 1.04 (0.61–1.78) 0.882 1.10 (0.64–1.90) 0.727
GG+GC 571 98.62 140 98.59 1.00 1.00
CC 2 0.35 1 0.70 0.49 (0.04–5.45) 0.562 0.61 (0.05–7.03) 0.690
C allele 82 7.08 20 7.04
IL-10 rs1800872 T>G
TT 269 46.46 80 56.34 1.00
TG 250 43.18 51 35.92 1.46 (0.99–2.16) 0.059 1.49 (1.00–2.21) 0.048
GG 55 9.50 10 7.04 1.64 (0.80–3.36) 0.180 1.59 (0.77–3.27) 0.211
GG+TG 305 52.68 61 42.96 1.49 (1.03–2.16) 0.036 1.51 (1.04–2.19) 0.032
TT+TG 519 89.64 131 92.25 1.00 1.00
GG 55 9.50 10 7.04 1.39 (0.69–2.80) 0.359 1.34 (0.66–2.71) 0.419
G allele 360 31.09 71 25.00
IL-10 rs1800896 T>C
TT 501 86.53 124 87.32 1.00
TC 68 11.74 16 11.27 1.05 (0.59–1.88) 0.864 1.07 (0.60–1.93) 0.809
CC 3 0.52 1 0.70 0.74 (0.08–7.20) 0.797 0.88 (0.09–8.64) 0.909
CC+TC 71 12.26 17 11.97 1.03 (0.59–1.82) 0.909 1.06 (0.60–1.88) 0.833
TT+TC 569 98.27 140 98.59 1.00 1.00
CC 3 0.52 1 0.70 0.74 (0.08–7.15) 0.793 0.87 (0.09–8.55) 0.903
C allele 74 6.39 18 6.34
1

Adjusted for age, sex, smoking, alcohol use, and BMI status.

Bold values are statistically significant (P<0.05).

Discussion

Immunotherapy is altering how we comprehend malignancies and offers new methods to treat them. EC is a representative model of immune and inflammation-related cancer [39]. Recently, some studies indicated that the SNPs in inflammation and immune-related genes might influence the risk of EC [40,41]. In this study, we explored the role of immune-related gene SNPs (HVEM rs2234167, IL-4 rs2070874, and rs2243263, and IL-10 rs1800896 and rs1800872) to ESCC development. We observed that IL-4 rs2070874 T>C could decrease a risk to ESCC, even in the stage I/II subgroup. However, in BMI ≥ 24 kg/m2 subgroup, IL-4 rs2243263 G>C might increase the risk of ESCC. We also found an association of the IL-10 rs1800872 T>G SNP with a worse differentiation.

IL-4 is an important regulator of immune and inflammation pathways. Some reports have suggested that IL-4 levels are higher in untreated ESCC patients than in controls [42–44]. It is considered that IL-4 levels may be implicated in the development of ESCC. The IL-4 rs2070874 T>C polymorphism is a 5′-UTR SNP. In a high-risk gastric cancer (GC) region, a previous study suggested that rs2070874 C allele in the IL-4 gene might decrease the susceptibility to GC in a Chinese population [45]. Lu et al. reported that the rs2070874 C allele increased the risk of HCC in a male subgroup [46]. However, Chang et al. and Wang et al. found that the IL-4 rs2070874 polymorphism might not influence the susceptibility of cancer in Chinese population [47,48]. In this study, we included 1929 subjects and investigated the correlation of this SNP to ESCC susceptibility. We found that IL-4 rs2070874 T>C polymorphism seemed to be a protective factor for ESCC development. Our findings were similar to a previous meta-analysis that suggested that the IL-4 rs2070874 C allele could be associated with a decreased susceptibility of gastrointestinal cancer [14]. A functional study indicated that the IL-4 rs2070874 allele C could promote a higher level of IL-4 in plasma [49]. IL-4 has an anti-inflammatory effect and may decrease the risk of ESCC by inhibiting the inflammation. FitzGerald et al. reported that the IL-4 rs2070874 allele C could decrease the risk of prostate cancer specific mortality [50]. Consistent with that report, we identified an association between the IL-4 rs2070874 T>C SNP and a decreased susceptibility to ESCC in the stage I/II subgroup. However, we did not find an association of IL-4 rs2070874 T>C polymorphism with lymphatic metastasis. This might be due to the limited sample sizes. In the future, the relationship of the rs2070874 SNP in IL-4 gene with progress and prognosis should be further explored.

Rs2243263 G>C, an intron SNP in the IL-4 gene, was studied for the relationship of this SNP to some diseases. This SNP might decrease the risk of asthma in the African American children, while this relationship was not identified in Caucasians [51]. Hsiao et al. reported that the IL-4 rs2243263 C allele was a protective factor for HBV surface antigen reverse seroconversion in non-Hodgkin lymphoma cases undergoing rituximab treatment. A previous study investigated the relationship of IL-4 rs2243263 G>C with colon and rectal cancer risk [18], but no association was found. However, in a large simple size study, Lan et al. found that the IL-4 rs2243263 G>C SNP increased the susceptibility to non-Hodgkin lymphoma [19]. In this study, we found that the IL-4 rs2243263 G>C might increase the risk of ESCC in obese and overweight subjects (Table 6). It was reported that the IL-4 level in mothers was inversely linked to overweight in early childhood and might influence the metabolic profile of childhood [52]. In addition, the level of IL-4 decreased with antipsychotic-induced weight gain [53]. It is suggested that the level of IL-4 could influence obesity and overweight. Introns are regulatory sequences that can affect the expression of genes. Here, we found that the rs2243263 G>C polymorphism, a SNP in IL-4 intron region, might alter the risk of ESCC. It is presumed that the rs2243263 G>C polymorphism influences the level of IL-4 by regulating gene transcription. In the future, a functional study should be considered to explore the potential mechanism.

The IL-10 rs1800872 T>G is a promotor SNP. Torres-Poveda et al. reported that the expression of IL-10 mRNA and the level of serum IL-10 were significantly higher in subjects with the IL-10 rs1800872 T allele [54]. A recent study found that IL-10 rs1800872 T>G SNP promoted the risk of EC [25]. A meta-analysis also confirmed this association [55]. In our case–control study, we did not find the association of IL-10 rs1800872 T>G SNP with the development of EC, even in stratified analyses and reviewing different lymph node status. Additionally, Liu et al. reported that IL-10 rs1800872 GG genotypes predicted the worse survival of diffuse large B-cell lymphoma patients treated with rituximab-CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) [56]. In this study, we found that the IL-10 rs1800872 G allele was associated with poorly differentiated tumor. Thus, in the future, the association of the IL-10 rs1800872 T>G SNP and the survival of ESCC cases should be further studied.

Limitations in the present study should be acknowledged. First, in the present study, we only included five functional SNPs and explored the association of the risk to ESCC. Second, there were other environmental risk factors (e.g. vegetable and fruit intake, aspirin and NSAIDs use, and physical exercise), which we did not consider for their influence to the development of ESCC. Third, the number of ESCC patients was limited and our study may be under-powered in some subgroups. Fourth, in this investigation, the protein expression levels of the suspect factors were not measured. Finally, considering the low penetrance of SNP, the other functional polymorphisms in the HVEM, IL-4, and IL-10 genes should not be ignored.

In summary, the present study suggests that the IL-4 rs2070874 T>C polymorphism is a protective factor for ESCC development, while the IL-4 rs2243263 G>C increases a risk to ESCC in obese and overweight subjects. Additionally, it is highlighted that the IL-10 rs1800872 G allele is associated with poorly differentiated tumor.

Acknowledgements

We appreciate all subjects who participated in the present study. We wish to thank Dr. Yan Liu (Genesky Biotechnologies Inc., Shanghai, China) for technical support.

Abbreviations

AJCC

American Joint Committee on Cancer

BC

breast cancer

BMI

body mass index

CI

confidence interval

EC

esophageal cancer

ESCC

esophageal squamous cell carcinoma

GC

gastric cancer

HBV

Hepatitis B virus

HVEM

herpesvirus entry mediator

HWE

Hardy–Weinberg equilibrium

IL

interleukin

NSAID

nonsteroidal anti-inflammatory drug

OR

odds ratio

SNP

single nucleotide polymorphism

Contributor Information

Weifeng Tang, Email: twf001001@126.com.

Mingqiang Kang, Email: Mingqiang_Kang@126.com.

Competing Interests

The authors declare that there are no competing interests associated with the manuscript.

Funding

This work was supported in part by the Young and Middle-aged Talent Training Project of Health Development Planning Commission in Fujian Province [grant number 2016-ZQN-25]; the Program for New Century Excellent Talents in Fujian Province University [grant number NCETFJ-2017B015]; and the Joint Funds for the Innovation of Science and Technology, Fujian Province [grant number 2017Y9099].

Author Contribution

All authors contributed significantly to the present study. Conceived and designed the experiments: W.T. and M.K. Performed the experiments: S.C., R.C. and C.L. Analyzed the data: W.T. and M.K. Contributed reagents/materials/analysis tools: M.K. Wrote the manuscript: S.C. and R.C. Other (please specify): none.

References

  • 1.Bray F., Ferlay J., Soerjomataram I. et al. (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 68, 394–424 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
  • 2.Matejcic M. and Iqbal Parker M. (2015) Gene-environment interactions in esophageal cancer. Crit. Rev. Clin. Lab. Sci. 52, 211–231 10.3109/10408363.2015.1020358 [DOI] [PubMed] [Google Scholar]
  • 3.Qin J.M., Yang L., Chen B. et al. (2008) Interaction of methylenetetrahydrofolate reductase C677T, cytochrome P4502E1 polymorphism and environment factors in esophageal cancer in Kazakh population. World J. Gastroenterol. 14, 6986–6992, PMCID: PMC2773864 10.3748/wjg.14.6986 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lin E.W., Karakasheva T.A., Hicks P.D. et al. (2016) The tumor microenvironment in esophageal cancer. Oncogene 35, 5337–5349, PMCID: PMC5003768 10.1038/onc.2016.34 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Park R., Williamson S., Kasi A. et al. (2018) Immune therapeutics in the treatment of advanced gastric and esophageal cancer. Anticancer Res. 38, 5569–5580 10.21873/anticanres.12891 [DOI] [PubMed] [Google Scholar]
  • 6.Nelms K., Keegan A.D., Zamorano J. et al. (1999) The IL-4 receptor: signaling mechanisms and biologic functions. Annu. Rev. Immunol. 17, 701–738 10.1146/annurev.immunol.17.1.701 [DOI] [PubMed] [Google Scholar]
  • 7.Rush J.S. and Hodgkin P.D. (2001) B cells activated via CD40 and IL-4 undergo a division burst but require continued stimulation to maintain division, survival and differentiation. Eur. J. Immunol. 31, 1150–1159 [DOI] [PubMed] [Google Scholar]
  • 8.Suzuki A., Leland P., Joshi B.H. et al. (2015) Targeting of IL-4 and IL-13 receptors for cancer therapy. Cytokine 75, 79–88 10.1016/j.cyto.2015.05.026 [DOI] [PubMed] [Google Scholar]
  • 9.Francipane M.G., Alea M.P., Lombardo Y. et al. (2008) Crucial role of interleukin-4 in the survival of colon cancer stem cells. Cancer Res. 68, 4022–4025 10.1158/0008-5472.CAN-07-6874 [DOI] [PubMed] [Google Scholar]
  • 10.Tan N., Song J., Yan M. et al. (2019) Association between IL-4 tagging single nucleotide polymorphisms and the risk of lung cancer in China. Mol. Gene Genom. Med. 7, e00585, PMCID: PMC6465665 10.1002/mgg3.585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cardenas D.M., Sanchez A.C., Rosas D.A. et al. (2018) Preliminary analysis of single-nucleotide polymorphisms in IL-10, IL-4, and IL-4Ralpha genes and profile of circulating cytokines in patients with gastric cancer. BMC Gastroenterol. 18, 184, PMCID: PMC6288868 10.1186/s12876-018-0913-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Shamoun L., Skarstedt M., Andersson R.E. et al. (2018) Association study on IL-4, IL-4Ralpha and IL-13 genetic polymorphisms in Swedish patients with colorectal cancer. Clin. Chim. Acta 487, 101–106 10.1016/j.cca.2018.09.024 [DOI] [PubMed] [Google Scholar]
  • 13.Jia Y., Xie X., Shi X. et al. (2017) Associations of common IL-4 gene polymorphisms with cancer risk: A meta-analysis. Mol. Med. Rep. 16, 1927–1945, PMCID: PMC5561993 10.3892/mmr.2017.6822 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cho Y.A. and Kim J. (2017) Association of IL4, IL13, and IL4R polymorphisms with gastrointestinal cancer risk: a meta-analysis. J. Epidemiol. 27, 215–220, PMCID: PMC5394226 10.1016/j.je.2016.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhenzhen L., Xianghua L., Qingwei W. et al. (2013) Three common polymorphisms in the IL-4 gene and cancer risk: a meta-analysis involving 5,392 cases and 6,930 controls. Tumour Biol. 34, 2215–2224 10.1007/s13277-013-0761-8 [DOI] [PubMed] [Google Scholar]
  • 16.Kim B.S., Park S.M., Uhm T.G. et al. (2010) Effect of single nucleotide polymorphisms within the interleukin-4 promoter on aspirin intolerance in asthmatics and interleukin-4 promoter activity. Pharmacogenet. Genomics 20, 748–758 [DOI] [PubMed] [Google Scholar]
  • 17.Hsiao L.T., Wang H.Y., Yang C.F. et al. (2016) Human cytokine genetic variants associated with HBsAg reverse seroconversion in rituximab-treated non-Hodgkin lymphoma patients. Medicine (Baltimore) 95, e3064, PMCID: PMC4839912 10.1097/MD.0000000000003064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bondurant K.L., Lundgreen A., Herrick J.S. et al. (2013) Interleukin genes and associations with colon and rectal cancer risk and overall survival. Int. J. Cancer 132, 905–915, PMCID: PMC3470814 10.1002/ijc.27660 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lan Q., Wang S.S., Menashe I. et al. (2011) Genetic variation in Th1/Th2 pathway genes and risk of non-Hodgkin lymphoma: a pooled analysis of three population-based case-control studies. Br. J. Haematol. 153, 341–350, PMCID: PMC3075370 10.1111/j.1365-2141.2010.08424.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kwasniak K., Czarnik-Kwasniak J., Maziarz A. et al. (2019) Scientific reports concerning the impact of interleukin 4, interleukin 10 and transforming growth factor beta on cancer cells. Central Eur. J. Immunol. 44, 190–200, PMCID: PMC6745546 10.5114/ceji.2018.76273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.D’Andrea A., Aste-Amezaga M., Valiante N.M. et al. (1993) Interleukin 10 (IL-10) inhibits human lymphocyte interferon gamma-production by suppressing natural killer cell stimulatory factor/IL-12 synthesis in accessory cells. J. Exp. Med. 178, 1041–1048, PMCID: PMC2191152 10.1084/jem.178.3.1041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Miteva L.D., Stanilov N.S., Deliysky T.S. et al. (2014) Significance of -1082A/G polymorphism of IL10 gene for progression of colorectal cancer and IL-10 expression. Tumour Biol. 35, 12655–12664 10.1007/s13277-014-2589-2 [DOI] [PubMed] [Google Scholar]
  • 23.Pereira A.P.L., Trugilo K.P., Okuyama N.C.M. et al. (2020) IL-10 c.-592C>A (rs1800872) polymorphism is associated with cervical cancer. J. Cancer Res. Clin. Oncol. 146, 1971–1978 10.1007/s00432-020-03256-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Yang Y. and Fa X. (2015) Role of IL-10 gene polymorphisms on the susceptibility for esophageal cancer and its association with environmental factors. Int. J. Clin. Exp. Pathol. 8, 9580–9585, PMCID: PMC4583954 [PMC free article] [PubMed] [Google Scholar]
  • 25.Sun J.M., Li Q., Gu H.Y. et al. (2013) Interleukin 10 rs1800872 T>G polymorphism was associated with an increased risk of esophageal cancer in a Chinese population. Asian Pac. J. Cancer Prev. 14, 3443–3447 [DOI] [PubMed] [Google Scholar]
  • 26.Zhao X., Lu C., Chu W. et al. (2016) microRNA-214 governs lung cancer growth and metastasis by targeting carboxypeptidase-D. DNA Cell Biol. 35, 715–721 10.1089/dna.2016.3398 [DOI] [PubMed] [Google Scholar]
  • 27.Breloer M., Hartmann W., Blankenhaus B. et al. (2015) Cutting Edge: the BTLA-HVEM regulatory pathway interferes with protective immunity to intestinal Helminth infection. J. Immunol. 194, 1413–1416 10.4049/jimmunol.1402510 [DOI] [PubMed] [Google Scholar]
  • 28.Shui J.W. and Kronenberg M. (2014) HVEM is a TNF receptor with multiple regulatory roles in the mucosal immune system. Immune Network 14, 67–72, PMCID: PMC4022780 10.4110/in.2014.14.2.67 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Jones A., Bourque J., Kuehm L. et al. (2016) Immunomodulatory functions of BTLA and HVEM govern induction of extrathymic regulatory T cells and tolerance by dendritic cells. Immunity 45, 1066–1077, PMCID: PMC5112132 10.1016/j.immuni.2016.10.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Shui J.W., Steinberg M.W. and Kronenberg M. (2011) Regulation of inflammation, autoimmunity, and infection immunity by HVEM-BTLA signaling. J. Leukoc. Biol. 89, 517–523, PMCID: PMC3058819 10.1189/jlb.0910528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lan X., Li S., Gao H. et al. (2017) Increased BTLA and HVEM in gastric cancer are associated with progression and poor prognosis. Onco Targets Ther. 10, 919–926, PMCID: PMC5317317 10.2147/OTT.S128825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lichtenegger F.S., Kondla I., Krempasky M. et al. (2015) RNA and protein expression of herpesvirus entry mediator (HVEM) is associated with molecular markers, immunity-related pathways and relapse-free survival of patients with AML. Cancer Immunol. Immunother. 64, 1505–1515 10.1007/s00262-015-1755-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Tang M., Cao X., Li Y. et al. (2019) High expression of herpes virus entry mediator is associated with poor prognosis in clear cell renal cell carcinoma. Am. J. Cancer Res. 9, 975–987, PMCID: PMC6556608 [PMC free article] [PubMed] [Google Scholar]
  • 34.Zhu Y.D. and Lu M.Y. (2018) Increased expression of TNFRSF14 indicates good prognosis and inhibits bladder cancer proliferation by promoting apoptosis. Mol. Med. Rep. 18, 3403–3410 [DOI] [PubMed] [Google Scholar]
  • 35.Tsang J.Y.S., Chan K.W., Ni Y.B. et al. (2017) Expression and clinical significance of herpes virus entry mediator (HVEM) in breast cancer. Ann. Surg. Oncol. 24, 4042–4050 10.1245/s10434-017-5924-1 [DOI] [PubMed] [Google Scholar]
  • 36.Li D., Fu Z., Chen S. et al. (2013) HVEM gene polymorphisms are associated with sporadic breast cancer in Chinese women. PLoS ONE 8, e71040, PMCID: PMC3745383 10.1371/journal.pone.0071040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Migita K., Sho M., Shimada K. et al. (2014) Significant involvement of herpesvirus entry mediator in human esophageal squamous cell carcinoma. Cancer 120, 808–817 10.1002/cncr.28491 [DOI] [PubMed] [Google Scholar]
  • 38.Cao R., Tang W. and Chen S. (2020) Association between BTLA polymorphisms and susceptibility to esophageal squamous cell carcinoma in the Chinese population. J. Clin. Lab. Anal. 34, e23221, PMCID: PMC7307356 10.1002/jcla.23221 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.O’Sullivan K.E., Phelan J.J., O’Hanlon C. et al. (2014) The role of inflammation in cancer of the esophagus. Expert Rev. Gastroenterol. Hepatol. 8, 749–760 10.1586/17474124.2014.913478 [DOI] [PubMed] [Google Scholar]
  • 40.Sun T., Zhou Y., Yang M. et al. (2008) Functional genetic variations in cytotoxic T-lymphocyte antigen 4 and susceptibility to multiple types of cancer. Cancer Res. 68, 7025–7034 10.1158/0008-5472.CAN-08-0806 [DOI] [PubMed] [Google Scholar]
  • 41.Qiu H., Zheng L., Tang W. et al. (2014) Programmed death-1 (PD-1) polymorphisms in Chinese patients with esophageal cancer. Clin. Biochem. 47, 612–617 10.1016/j.clinbiochem.2013.12.023 [DOI] [PubMed] [Google Scholar]
  • 42.Xin Z., Wenyu F. and Shenhua X. (2010) Clinicopathologic significance of cytokine levels in esophageal squamous cell carcinoma. Hepatogastroenterology 57, 1416–1422 [PubMed] [Google Scholar]
  • 43.Wang Q. and Chen D.Y. (2009) Effect of Aidi injection on peripheral blood expression of Th1/Th2 transcription factors and cytokines in patients with esophageal squamous cell carcinoma during radiotherapy. Chin. J. Integr. Trad. Western Med. 29, 394–397 [PubMed] [Google Scholar]
  • 44.Wei Y.C., Hu F.B., Shen Y. et al. (2004) Postoperative Th1 and Th2 type cytokine changes in patients with esophageal squamous cell carcinoma and their clinical significance. Acad. J. First Med. Coll. 24, 1271–1273 [PubMed] [Google Scholar]
  • 45.Wu J., Lu Y., Ding Y.B. et al. (2009) Promoter polymorphisms of IL2, IL4, and risk of gastric cancer in a high-risk Chinese population. Mol. Carcinog. 48, 626–632 10.1002/mc.20502 [DOI] [PubMed] [Google Scholar]
  • 46.Lu Y., Wu Z., Peng Q. et al. (2014) Role of IL-4 gene polymorphisms in HBV-related hepatocellular carcinoma in a Chinese population. PLoS ONE 9, e110061, PMCID: PMC4190355 10.1371/journal.pone.0110061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Chang W.S., Wang S.C., Chuang C.L. et al. (2015) Contribution of interleukin-4 genotypes to lung cancer risk in Taiwan. Anticancer Res. 35, 6297–6301 [PubMed] [Google Scholar]
  • 48.Wang Y., Li H., Wang X. et al. (2017) Association between four SNPs in IL-4 and the risk of gastric cancer in a Chinese population. Int. J. Mol. Epidemiol. Genet. 8, 45–52, PMCID: PMC5636916 [PMC free article] [PubMed] [Google Scholar]
  • 49.Cabantous S., Ranque S., Poudiougou B. et al. (2015) Genotype combinations of two IL4 polymorphisms influencing IL-4 plasma levels are associated with different risks of severe malaria in the Malian population. Immunogenetics 67, 283–288 10.1007/s00251-015-0836-3 [DOI] [PubMed] [Google Scholar]
  • 50.FitzGerald L.M., Zhao S., Leonardson A. et al. (2018) Germline variants in IL4, MGMT and AKT1 are associated with prostate cancer-specific mortality: An analysis of 12,082 prostate cancer cases. Prostate Cancer Prostatic Dis. 21, 228–237, PMCID: PMC6026113 10.1038/s41391-017-0029-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Baye T.M., Butsch Kovacic M., Biagini Myers J.M. et al. (2011) Differences in candidate gene association between European ancestry and African American asthmatic children. PLoS ONE 6, e16522, PMCID: PMC3046166 10.1371/journal.pone.0016522 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Englich B., Herberth G., Rolle-Kampczyk U. et al. (2017) Maternal cytokine status may prime the metabolic profile and increase risk of obesity in children. Int. J. Obes. 41, 1440–1446 10.1038/ijo.2017.113 [DOI] [PubMed] [Google Scholar]
  • 53.Pisano S., Catone G., Coppola G. et al. (2017) Different immune signature in youths experiencing antipsychotic-induced weight gain compared to untreated obese patients. J. Child Adolesc. Psychopharmacol. 27, 844–848 10.1089/cap.2016.0203 [DOI] [PubMed] [Google Scholar]
  • 54.Torres-Poveda K., Burguete-Garcia A.I., Cruz M. et al. (2012) The SNP at -592 of human IL-10 gene is associated with serum IL-10 levels and increased risk for human papillomavirus cervical lesion development. Infect. Agents Cancer 7, 32, PMCID: PMC3552694 10.1186/1750-9378-7-32 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Li Y.F., Yang P.Z. and Li H.F. (2016) Functional polymorphisms in the IL-10 gene with susceptibility to esophageal, nasopharyngeal, and oral cancers. Cancer Biomark. 16, 641–651 10.3233/CBM-160606 [DOI] [PubMed] [Google Scholar]
  • 56.Liu D., Wang Y., Dong M. et al. (2017) Polymorphisms in cytokine genes as prognostic markers in diffuse large B cell lymphoma patients treated with (R)-CHOP. Ann. Hematol. 96, 227–235 10.1007/s00277-016-2857-x [DOI] [PubMed] [Google Scholar]

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