Introduction

Head and neck cancer (HNC) is the sixth commonly diagnosed cancer worldwide, including cancers of oral cavity, nasopharynx, larynx, and salivary glands [1]. According to the Global Cancer Statistics 2018, there were an estimated 873,734 new cases with thyroid, laryngeal and nasopharyngeal carcinoma and 208,829 deaths from these diseases [2]. In China, HNC causes more than 2.251 million cases and 77.5 thousands deaths annually [3]. The pathogenesis of HNC has not been fully elucidated. It is known that environmental exposures to smoking and alcohol consumption are identified as the major risk factors for HNC [4, 5]. However, not all individuals with these risk factors will eventually develop HNC, which indicates that genetic factors may play a critical role in the carcinogenesis and progression of HNC. Cumulative evidence indicates that genetic variants contribute to the risk of HNC [6,7,8]. However, a large number of risk polymorphisms associated with HNC predisposition have not been discovered.

Interleukin-1 (IL-1) is an inflammatory cytokine that plays a key role in the incidence and development of tumor [9]. IL-1 family includes mainly of IL-1α, IL‐1β (pro‐inflammatory effect) and IL‐1 receptor antagonist (IL‐1RN, anti‐inflammatory effect). The tumor progression driven by IL-1 is related to the promotion of angiogenesis[10]. IL-β participates in the suppression of adaptive antitumor immune responses by regulating myeloid-derived suppressor cells [11]. Furthermore, IL-1β promotes epithelial to mesenchymal transition to support metastasis [12]. IL‐1RN, as a natural IL-1 inhibitor, serves as a decoy target by binding to its receptor without activating signal conversion. IL-1RN can target the tumor microenvironment by interfering in IL-1 biology[13]. Several studies have reported the relationship between genetic polymorphisms of IL-1 family genes and the risk of various cancers, including breast, gastric, colorectal, and cervical cancer [14,15,16], but HNC has not reported.

Here, five SNPs in IL-1B and four SNPs in IL-1RN were genotyped to discover the genetic association between IL-1B/ IL-1RN polymorphisms and the risk of HNC occurrence among the Chinese Han population. The heterogeneity of associations between subgroups defined by age (> 46 years and ≤ 46 years) and sex (males and females) were assessed. Furthermore, we explored the relationship of IL-1B/IL-1RN polymorphisms with clinical features of HNC, including HNC type, stage, and lymph nodes metastasis.

Materials and methods

Study population

We recruited 535 HNC patients and 538 healthy controls from Shaanxi Provincial Cancer Hospital. All participants were genetically unrelated ethnic Han Chinese population. HNC patients were diagnosed and histopathologically confirmed by two pathologists. These cases who had previous history of other cancers, chronic diseases involving vital organs, inflammation, infection, or other autoimmune diseases were excluded. HNC patients had not received chemotherapy or radiation before sample collection. Healthy controls were enrolled from the physical examination center at the same hospital. The inclusion criterion for healthy controls was no cancer history, no acute or chronic disease, and no inflammatory or immune diseases. Demographic and clinical data were obtained from the questionnaires and medical records. The study was approved by the Ethics Committee of Hainan People’s Hospital and complied with the Declaration of Helsinki. All subjects gave informed consent.

DNA extraction and SNPs genotyping

Approximately 5 mL samples were gathered in EDTA vacutainer tubes from all subjects. Genomic DNA was extracted with GoldMag DNA Extraction Kits (GoldMag Co. Ltd, Xi′an, China) and stored at − 20 ℃ before genotyping. Based on the NCBI dbSNP database and 1000 Genomes Project database, candidate SNPs with the minor allele frequency (MAF) > 0.05 low linkage disequilibrium (r2 < 0.8), and the call rate > 95% were selected. Finally, nine SNPs in the IL-1B (rs1143643, rs1143630, rs1143627, rs16944 and rs1143623) and IL-1RN (rs17042888, rs315919, rs3181052 and rs452204) genes were included. The genotypes of IL-1B and IL-1RN polymorphisms were detected using Agena MassARRAY platform (Agena, San Diego, CA, USA). Primers design and data management were conducted by supporting software. The primers were presented in Additional file 1: Table S1. Approximately10% of the study subjects were repeated genotyping for the quality control, and the results were consistent.

Statistical analysis

The characteristics of subjects were displayed as mean ± standard deviation (SD) or frequency (percentage). The age and gender distribution between HNC patients and healthy controls were evaluated by χ2 test or sample t test, respectively. The goodness of fit χ2 was used to test the Hardy–Weinberg equilibrium (HWE) of SNPs among controls. Logistic regression analysis adjusted for age and gender was applied to assess the genetic association between IL-1B/IL-1RN variants and HNC risk by calculating odds ratios (ORs) and 95% confidence intervals (CI). Linkage disequilibrium (LD) and haplotype analysis were evaluated using Haploview program and logistic regression model. SPSS 20.0 (SPSS Inc., Chicago, IL, USA), PLINK 1.0.7, Haploview 4.2 software were used for data analyses. Two-tailed p < 0.05 was considered statistically significant.

Results

Study population

The characteristics of HNC patients and healthy controls were shown in Table 1. A total of 535 patients (46.8 ± 15.1 years) and 538 controls (46.9 ± 13.8 years) were included. The ratio of male to female was 2:3 in the cases and controls. There was no significant difference in age and gender distribution between the two groups (p = 0.875 and 0.908, respectively). Among the 535 patients, 75 (14.0%) were nasopharyngeal carcinoma, 398 (74.4%) were thyroid cancer, 43 (8.0%) were laryngeal carcinoma, and 19 (3.6%) were parotid gland cancer.

Table 1 Characteristics of patients with head and neck cancer and health controls

The contribution of IL-1B/IL-1RN polymorphisms to the risk of HNC

The detailed information of these SNPs in IL-1B/IL-1RN including position, MAF, the call rate of genotyping and HWE were presented in Table 2. The MAF of these SNPs were all > 5% and the genotyping rate exceeded 99.5%. Except for rs1143623 (p < 0.001), the genotype frequencies of other variants were in HWE among the control group. The prevalence of IL-1B rs1143643-T allele in HNC patients (52.8%) was higher than that in controls (47.6%). Furthermore, the genetic association was found between rs1143643 and the increased risk of HNC (OR = 1.23, 95% CI 1.04–1.46, p = 0.016).

Table 2 The details of candidate SNPs in IL-1B/IL-1RN and the allele model for the association between these polymorphisms and the risk of head and neck cancer

The genotype frequency distribution of these selected SNPs in patients and controls was shown in Table 3. The frequency difference of rs1143643-TT genotype was observed between HNC patients (26.9%) and healthy controls (22.3%). Carriers with TT genotype had an increased susceptibility to HNC than CC genotype (OR = 1.54, 95% CI 1.09–2.17, p = 0.015). Genetic model analysis revealed that rs1143643 in IL-1B was related to the higher risk of HNC under the dominant (OR = 1.38, 95% CI 1.04–1.82, p = 0.026) and additive (OR = 1.24, 95% CI 1.04–1.47, p = 0.015) models. No significant association of other SNPs in IL-1B/IL-1RN with HNC risk was observed.

Table 3 The effect of genetic variants in IL-1B/IL-1RN on the susceptibility to head and neck cancer

Stratified analysis by age and gender for the relationship of IL-1B/IL-1RN variants with HNC risk

Stratified analysis was used to assess the heterogeneity of relationship between subgroups defined by age (> 46 years and ≤ 46 years) and sex (males and females), and the results were presented in Table 4. In age stratification, we found that IL-1RN rs17042888 reduced the risk of HNC (GA vs. GG, OR = 0.70, 95% CI 0.50–0.98, p = 0.040) in subjects aged > 46 years. In females, the relationship between rs1143643 in IL-1B and higher predisposition of HNC was found in the allele (OR = 1.31, 95% CI 1.05–1.62, p = 0.015), genotype (OR = 1.76, 95% CI 1.13–2.74, p = 0.013), dominant (OR = 1.54, 95% CI 1.07–2.21, p = 0.021) and additive (OR = 1.32, 95% CI 1.06–1.65, p = 0.014) models. Whereas, IL-1RN rs17042888 was related to the lower risk of HNC among females (GA vs. GG, OR = 0.71, 95% CI 0.52–0.98, p = 0.038; and GA-AA vs. GG, OR = 0.73, 95% CI 0.53–0.99, p = 0.042).

Table 4 Stratification by age and gender for the effect of genetic variants in IL-1B/IL-1RN on the susceptibility of head and neck cancer

The relationship of IL-1B/IL-1RN variants with clinical features of HNC

Furthermore, we investigated the relationship between IL-1B/IL-1RN SNPs and the clinical features of HNC, including HNC type, stage, and lymph nodes metastasis. The effect of IL-1B/IL-1RN variants on the susceptibility to nasopharyngeal carcinoma or thyroid carcinoma was assessed, and the results were displayed in Table 5. Rs1143643 in IL-1B increased the susceptibility to thyroid carcinoma under the allele (OR = 1.26, 95% CI 1.05–1.52, p = 0.013), genotype (OR = 1.61, 95% CI 1.10–2.34, p = 0.014), dominant (OR = 1.42, 95% CI 1.04–1.94, p = 0.027), and additive (OR = 1.27, 95% CI 1.05–1.53, p = 0.015) models. Moreover, the relationship between IL-1B/IL-1RN variants and clinical stages in HNC patients was evaluated. The results displayed that compared with stage I–II, patients with stage III–IV had a lower frequency of IL-1RN rs452204-AG genotype (18.2% vs. 48.6%, OR = 0.28, 95% CI 0.10–0.78, p = 0.015; Table 6). There was no significant relationship of IL-1B/IL-1RN SNPs with lymph nodes metastasis (data not shown).

Table 5 The effect of genetic variants in IL-1B/IL-1RN on the susceptibility of nasopharyngeal carcinoma and thyroid carcinoma
Table 6 Relationship of clinical stage with IL-1B/IL-1RN variants in head and neck cancer patients

The association of IL-1B haplotype with HNC risk

Additionally, haplotype analysis was performed to investigate whether IL-1B/IL-1RN variants were in linkage disequilibrium. The result revealed that there were one block and three haplotypes (GAG, TGA and GGA) in the three IL-1B SNPs (rs1143630, rs1143627 and rs16944), as shown in Fig. 1. The haplotype frequencies of IL-1B haplotypes in the in the case group and the control group were shown in Additional file 1: Table S2. The contribution of IL-1B haplotypes to HNC susceptibility was analyzed; however, there was no significant correlation between the haplotypes of IL-1B and HNC risk (p > 0.05) (Additional file 2).

Fig. 1
figure 1

The block structure was assessed using Haploview 4.2 software

Linkage disequilibrium (LD) analysis of IL-1B SNPs measured by D¢.

Discussion

In this study, the genetic association of eight SNPs in IL-1B/ IL-1RN with HNC susceptibility was evaluated, which displayed that IL-1B rs1143643 increased the risk of HNC in the overall. IL-1RN rs17042888 was associated with a reduced risk of HNC in subjects aged > 46 years and in females. The relationship between rs1143643 and higher predisposition of HNC was found among females. Furthermore, rs1143643 was associated with increased susceptibility of thyroid carcinoma, not nasopharyngeal carcinoma. Moreover, compared with stage I–II, patients with stage III–IV had a lower frequency of IL-1RN rs452204-AG genotype. This is the first study to assess the effect of IL-1B/ IL-1RN SNPs on HNC predisposition.

IL-1 plays a role in the genesis and progression of tumors, including promoting tumor angiogenesis, driving non-resolving inflammatory microenvironment, inducing myeloid-derived suppressor cells, activating IL-1-IL-17 pathway, and maintaining the activity of immunosuppressive tumor-associated macrophage [9]. Pervious study reported the relation between IL1-RN and the degree of HNC differentiation [17]. Overexpression of IL-1 activity increases the growth and metastasis of HNC [18]. IL1 was identified to be associated with the increased anti-tumor efficacy of cetuximab in HNC [19]. The intervention of IL-1β-CCL22-CCR4 signaling axis might provide a new treatment strategy for HNC [20]. These studies supported that IL-1 had a crucial role in the occurrence and development of HNC. Here, we investigated the contribution of IL-1B/ IL-1RN variants to HNC risk among Chinese Han population for the first time.

IL1B rs1143643 C > T, located in the intron region, might have a functional effect on the selected eQTL hits, enhancer histone marks, motifs changed, and DNAse, as predicted by HaploReg v4.1. Previously, IL1B rs1143643 was related to various diseases, such as neonatal sepsis, pediatric asthma, and cervical cancer [21,22,23]. Here, we found that the prevalence of IL-1B rs1143643-T allele in HNC patients (52.8%) was higher than that in the controls (47.6%). IL-1B rs1143643 increased the risk of HNC under the multiple models. Considering that age and gender are risk factors for HNC [24], we conducted a further stratified analysis to assess the heterogeneity of the association between subgroups defined by age and sex. We found that IL-1RN rs17042888 might be a protective factor for HNC in subjects aged > 46 years and in females. Similarly, a study revealed that IL-1RN rs17042888 could reduce the risk of thyroid carcinoma [25]. Moreover, the relationship between rs1143643 and higher predisposition of HNC was found among females. These results indicated that the genetic association between IL-1B/ IL-1RN SNPs and HNC predisposition might be related to age and gender.

Furthermore, the correlation between IL-1B/IL-1RN variants and the clinical features of HNC, including HNC type, stage, and lymph nodes metastasis was also evaluated. IL-1β exerts strong antitumor effects on thyroid carcinoma by inhibiting proliferation and invasiveness [26]. IL1B rs1143643 was related to lymph node metastasis of papillary thyroid carcinoma in Korean patients [27]. We found that rs1143643 was associated with increased susceptibility to thyroid carcinoma. Moreover, compared with stage I–II, patients with stage III–IV had a lower frequency of IL-1RN rs452204-AG genotype. However, we did not find a significant relationship between IL-1B/ IL-1RN variants and lymph node metastasis of HNC.

Nonetheless, some potential limitations cannot be ignored. First, the sample size of laryngeal carcinoma and parotid gland cancer was relatively small, therefore the correlation between IL-1B/ IL-1RN SNPs and the risk of laryngeal carcinoma and parotid gland cancer was not analyzed. Second, the subjects in this study were recruited from one hospital, so the inherent selection bias cannot be completely excluded. Here, we matched the age, gender, and frequency between cases and controls, and adjusted for potential confounding factors to minimize the bias. Third, due to the incomplete information, the interaction between environmental and genetic factors in the risk of HNC was not assessed in this study.

Conclusions

In conclusion, our results indicated that IL-1B (rs1143643) and IL-1RN (rs17042888 and rs452204) polymorphisms might contribute to the individual predisposition to HNC in Chinese Han population. These results might help to enhance the understanding of IL-1B and IL-1RN genes in the occurrence and development of HNC. Further studies on various different ethnic groups and a large sample sizes are required to validate our findings.