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Turkish Journal of Medical Sciences logoLink to Turkish Journal of Medical Sciences
. 2019 Feb 11;49(1):123–128. doi: 10.3906/sag-1805-21

Association of common IL-10 promoter gene variants with the susceptibility to head and neck cancer in Tunisia

Lamia MAKNI 1,*, Cherif BEN HAMDA 2, Abrar K AL-ANSARI 1, Oussema SOUIAI 2, Ezzedine GAZOUANI 3, Amel MEZLINI 4, Wassim Y ALMAWI 1, Besma YACOUBI-LOUESLATI 1
PMCID: PMC7350874  PMID: 30762321

Abstract

Background/aim

We investigated the association of three IL-10 promoter single-nucleotide polymorphisms and altered IL-10 plasma levels with the risk of head and neck cancer (HNC). 

Materials and methods

Study subjects comprised 194 HNC patients [137 nasopharyngeal cancer (NPC) and 57 laryngeal cancer (LC)], and 263 healthy controls. Genotyping of rs1800896 (-1082A>G), rs1800871 (-819C>T), and rs1800872 (-592A>C) IL-10 variants was performed by real-time PCR; IL-10 levels were measured by enzyme amplified immuno sensitivity assay (EAISA). 

Results

 Carriage of rs1800896 A/A genotype was more frequent in the HNC and NPC cases, but was less frequent in the controls than the LC patients. Significant differences in IL-10 levels were observed between the rs1800896A/G genotype-carrying NPC patients and the controls. Positive association with NPC and LC was observed for rs1800871C/C, and carriage of rs1800872A/A genotype, and A allele were associated with higher risk of HNC and NPC, but not LC. GT rs1800896-rs1800871 haplotype was more frequent among the HNC and NPC patients than the controls in contrast to GC haplotype, which has a protective effect. Positive association was found between TA haplotype and LC.

Conclusion

Our results demonstrate that IL-10-1082, IL-10-819, and IL-10-592 variants, and haplotypes GC and GT constitute biomarkers for early detection of HNC, especially NPC subtype. IL-10 -819T/C and TA haplotype may be used as biomarkers for early detection of LC.

Keywords: Head and neck cancer, interleukin-10, laryngeal cancer, nasopharyngeal cancer, Tunisia

1. Introduction

Recent evidence supports increased head and neck cancer (HNC) incidence worldwide, with estimated 400,000–600,000 new cases per year, and 223,000–300,000 annual deaths (1,2). HNC arises from malignant transformation of upper respiratory tract epithelial cells (3), and nasopharyngeal carcinoma (NPC) and laryngeal cancer (LC) are the most prevalent forms of HNC (4). Although NPC and LC are anatomically and histologically related, they differ in the pathogenesis, biology, treatment, mortality, and morbidity, as well as geographic and ethnic incidence (5–7). HNCs are multifactorial malignancies, which are influenced by environmental, viral, immunogenetic, and lifestyle risk factors (8–10). However, few studies addressed the implication of these factors in the variability of and the relative susceptibility to NPC and LC within different populations. Several reports documented the contribution of altered balance of proinflammatory and antiinflammatory mechanisms in HNC development, but with mixed outcome (11,12). As an immunosuppressive cytokine, interleukin-10 (IL-10) was described as a key player in the pathogenesis and progression of NPC and related malignancies (13).

Located on chromosome 1 (1q31–q32), human IL-10 gene consists of five exons and four introns (14), and several single nucleotide polymorphisms (SNP) were identified in IL-10 promoter region (15). Of these, rs1800896 (-1082A/G), rs1800871 (-819C/T), and rs1800872 (-592A/C) were the most investigated (16,17). Previous studies documented the association of these IL-10 variants with cancers (18–20), including NPC (21), but with inconclusive findings, and an ethnic contribution to this association appeared likely. As these IL-10 promoter variants rs1800896 (-1082 A/G), rs1800871(-819 C/T), and rs1800872 (-592 A/C) modulate IL-10 serum levels, and hence HNC susceptibility, the purpose of the present study was to evaluate these three IL-10 promoter polymorphisms and plasma IL-10 levels as potential biomarkers for HNC.

2. Materials and methods

2.1. Study subjects

Between November 2012 and October 2015, 194 HNC cases were consecutively recruited from Salah Azaiz Oncology Institute (SAI, Tunisia). All HNC cases originated from North Tunisia, of whom 137 presented with histologically confirmed nondifferentiated carcinoma of nasopharyngeal type (UCNT), and the remaining 57 presenting with histologically confirmed squamous cell carcinoma (SCC) of laryngeal type. Cancer diagnosis was established by clinical and biopsy examination, and confirmed by an SAI senior pathologist. Clinical data were obtained by unified questionnaire, personal interviews, and review of case records. All subjects were asked to sign a consent form, agreeing to participate in the study, after all institutional ethical requirements were met. The control group consisted of 263 unrelated blood donors, who reported no personal or family history of cancer, or other chronic illness.

2.2. DNA extraction

Peripheral blood samples (5 mL) of patients and control subjects were collected in EDTA-containing tubes. Genomic DNA was extracted from buffy coat layer using QIAamp® DNA blood Mini Kit, according to the instruction of the manufacturer (Qiagen GmbH, Hilden, Germany). DNA was stored in nuclease-free water at 4 °C pending analysis.

2.3. IL-10 plasma levels

Blood samples were collected from patients and controls in plain tubes. Plasma was separated by centrifugation at 2000 ×g for 15 min at 4 °C, and stored as 250 µL aliquots −80 °C pending analysis. IL-10 levels were measured using a commercial EAISA kit, according to the manufacturer’s instructions (DIA source Immuno Assay, Louvain-la-Neuve, Belgium). The ELISA reader-controlling software (SoftMax) was used in processing raw absorbance values into a standard curve, from which IL-10 concentrations (pg/mL) were obtained.

2.4. IL-10 genotyping

The three IL-10 gene polymorphisms studied, i.e. rs1800872, rs1800871, and rs1800896, were selected due to their minor allele frequency (MAF) of >5% in Caucasians, and previous association with HNC development. IL-10 genotyping was performed using the allelic (VIC- and FAM-labeled) discrimination method. Assay-on-demand TaqMan genotyping assays were ordered from Applied Biosystems (Foster City, CA, USA): C_1747363_10 (rs1800872), C_1747362_10 (rs1800871), and C_1747360_10 (rs1800896). The reaction was performed in 6 µL volume on StepOne Plus real-time PCR systems, according to the manufacturer’s instructions (Applied Biosystems). Replicate blinded quality control samples were included to assess genotyping reproducibility; the concordance was >99%.

2.5. Statistical analysis

Statistical analysis was performed with R software for windows and R studio program (www.rstudio.com), version 3.2.3. The characteristics of the study subjects were reported as mean for age, medians for IL-10 level, and relative frequencies for sex, tobacco and alcohol consumption, and histological type. The effect of IL-10 polymorphisms on IL-10 plasma levels, as well as HNC, NPC, and LC were evaluated by setting homozygous major allele genotype as reference; subsequent analyses were performed using one-way ANOVA. Chi-quare test was used in comparing categorical data and Fisher exact test for low number. Receiver operating characteristic (ROC) curve was used to determine sensitivity and specificity; P < 0.05 was considered statistically significant. Linkage disequilibrium and haplotype reconstruction were performed using Haploview 4.2 (www.broadinstitute.org) software and SNPstats (u299e), which also tested for departure from Hardy–Weinberg equilibrium (HWE).

2.6. Ethics

The study protocol was approved by the Ethics Committee of Salah Azeiz Oncology Institute in Tunis, Tunisia.

3. Results

3.1. Study participants

Table 1 summarizes the demographic and clinical characteristics of HNC patients and control subjects. Study subjects comprised 194 patients (137 with NPC, mean age 48 years, and 57 with LC, mean age 46.31 years), and 263 control subjects (mean age 49.96 years). The median IL-10 plasma level was slightly lower in the HNC patients [2.25 (0.003–39.45) pg/mL than the control subjects [4.65 (1.79–10.73) pg/mL], but was not statistically significant (P = 0.34).

Table 1.

Clinical characteristics of HNC, NPC, and LC patients and the healthy controls.

Characteristics Controlsn = 263 HNCn = 194 OR1 (95% CI) NPC n=137 OR2 (95% CI) LCn = 57 OR3 (95% CI) P-value
Female/male 171/92 45/149 6.154 4.077–9.431 39/98 4.671 3.001–7.383 6/51 15.799 7.032-42.367 <0.001
Age (years) 49.96 49.23 0.995 0.981–1.010 48 0.977 0.960–0.993 46.31 1.049 1.022–1.077 0.54
Tobacco 56/207 126/68 6.849 4.539–10.467 75/62 4.471 2.870–7.032 51/6 31.420 13.786–85.169 <0.001
Alcohol 39/224 76/118 3.669 2.382–5.821 44/93 2.717 1.660–4.470 32/25 7.352 3.963–13.858 <0.001
Histology
UCNT NA 137 - - 137 - - - - - -
SCC NA 57 - - - - - 57 - - -
IL-10 level (pg/mL) 4.650 2.250 0.969 0.908–1.047 2.250 0.944 0.863–1.026 3.120 1.008 0.917–1.129 0.34

HNC: head and neck cancer; n: number of subjects; NPC: nasopharyngeal carcinoma; LC: laryngeal cancer; OR1: odds rate between the HNC patients and the controls, OR2 : odds rate between the NPC patients and the controls; OR3: odds rate between the LC patients and the controls; CI: confidence interval; P-value: one way ANOVA; Age: per year; Tobacco: smokers/nonsmokers; Alcohol: drinkers/nondrinkers; UCNT: undifferentiated carcinoma nasopharynx type; SCC: squamous cell carcinoma; NA: not applicable; IL-10 level : (pg/mL).

3.2. Association between IL-10 polymorphisms and HNC

The distribution of IL-10 -1082A/G, -819C/T, and -592C/A genotypes did not deviate from HWE (P > 0.05). Table 2 lists the frequencies of the genotype profiles of the tested SNPs, first between the HNC patients and controls, second between the NPC patients and the controls, and third between the cases with LC and the controls. Univariate and multivariate analyses confirmed significant differences between the HNC or NPC patients and the controls in the distribution of the three tested IL-10 SNPs. Significant differences were observed between the LC patients and the controls in the distribution of rs1800896 (-1082A>G) and rs1800871 (-819C>T).

Table 2.

Association between IL-10 genotypes and the development of head and neck, nasopharyngeal and laryngeal cancers.

SNPs HWE P1 OR P1* P2 OR P2* P3 OR P3*
rs1800896 0.253
A/A reference 1.00 0.000 reference 1.00 0.001 reference 1.00
A/G 0.028 1.58 [1.05–2.40] 0.007 1.88 [1.18–3.03] 0.767 1.09 [0.59–2.02] 0.036
G/G 0.064 0.57 [0.31–1.02] 0.391 0.74 [0.38–1.42] 0.020 0.28 [0.08–0.78]
G 0.777 0.94[0.69–1.28] 0.978 1.01[ 0.72–1.42] 0.3638 0.77[0.48– 1.25]
rs1800871 0.707
C/C reference 1.00 0.019 reference 1.00 0.042 reference 1.00
C/T 0.232 1.26 [0.85–1.87] 0.936 0.98 [0.63–1.52] 0.006 2.35 [1.27–4.48] 0.009
T/T 0.005 2.67 [1.32–5.59] 0.016 2.50 [1.16–5.44] 0.021 3.33 [1.07–9.50]
T 0.159 1.27[0.92–1.76] 0.472 1.16[0.80–1.67] 0.087 1.54[0.96– 2.47]
rs1800872 0.830
C/C reference 1.00 0.026 reference 1.00 0.016 reference 1.00
C/A 0.998 1.00 [0.67–1.47] 0.384 0.82 [0.52–1.27] 0.139 1.58 [0.86–2.97] 0.118
A/A 0.009 2.51 [1.24–5.24] 0.017 2.45 [1.15–5.32] 0.060 2.70 [0.87–7.61]
A 0.023 1.15 [0.83–1.58] 0.013 1.08 [0.75–1.55] 0.291 1.31 [0.82–2.11]

SNP: single nucleotide polymorphisms; OR: odds ratio; CI: confidence interval; Significant associations P < 0.05 are indicated in bold; P1 value: chi-square test between the HNC patients and the controls; P1*: one-way ANOVA between the HNC and the controls; P2 value: chi-square test between the NPC patients and the controls; P2*: one-way ANOVA between the NPC patients and the controls; P3 value: chi-square test between the LC patients and the controls; P3*: one-way ANOVA between the LC patients and the controls.

The distribution of rs1800896 A/A genotype was significantly different between HNC cases and control subject [P < 0.001, OR (95% CI) = 1.58 (1.05–2.40)], and between the NPC patients and controls [P = 0.001, OR (95% CI) = 1.88 (1.18–3.03)]. Negative association was observed for this genotype between th LC cases and the controls [P = 0.036, OR (95% CI) = 0.28 (0.08–0.78)]. A positive association was noted in the association of rs1800871 C/C genotype with NPC [P = 0.042, OR (95% CI) = 2.50 (1.16–5.44)] and LC [P = 0.009, OR (95% CI) = 3.33 (1.07–9.50)] susceptibility. In addition, rs1800872 A/A genotype was associated with higher risk of HNC [P = 0.026, OR (95% CI) = 2.51 (1.24–5.24)] and NPC P = 0.016, OR (95% CI) = 2.45 (1.15–5.32)], but not LC. In addition, rs1800872 minor (A) allele frequency was associated with higher risk of HNC and NPC.

3.3. Plasma IL-10 level analysis

Plasma IL-10 levels in the HNC patients and the control subjects were next determined, and ROC analysis was performed to assess sensitivity and specificity. The area under the curve was 0.72 (Figure 1), suggesting insufficient sensitivity and specificity of EAISA determinations. HNC cases and controls were stratified according to specific IL-10 genotypes, and plasma IL-10 concentrations were determined for specific IL-10 genotypes in the patients and the controls. Results from Figure 2 and Table 3 demonstrate a significant difference in IL-10 plasma levels between -1082 A/G (rs1800896) NPC patients and control subjects genotype carriers (P = 0.023).

Table 3.

Genotype distribution and serum IL-10 levels.

SNP/genotype IL-10 level (pg/mL) P-value
Cases Controls
Means ± SD Means ± SD
IL-10-1082 A/G
AA 2.46 ± 2.47 4.06 ± 2.18 0.1211
AG 3.59 ± 6.41 4.44 ± 2.78 0.0231
GG 3.68 ± 4.05 6.05 ± 2.38 0.1552
AA vs. AG+GG 0.7923

1Obtained using the Mann–Whitney U test, 2obtained using the Student’s t-test, 3comparison between IL-10 levels in the carriers and those in the noncarriers.

Figure 1.

Figure 1

Sensitivity and specificity of IL-10 level measurment. Receiver operating characteristic (ROC) curve on binary logistic regression and discriminant classification analysis for the HNC and the control groups. Sensitivity and specificity were assessed by measuring the area under the curve.

Figure 2.

Figure 2

Level of IL-10 in the HNC, NPC, and LC patients and the controls AG genotype of rs1800896. HNC: head and neck cancer; NPC: nasopharyngeal cancer; LC: laryngeal cancer; Ctrl: control. NS: not significant.

3.4. Haplotype analysis

Haploview analysis revealed high linkage disequilibrium (LD) between rs1800871 and rs1800896 (0.72), but weak LD between rs1800872 and the two other SNPs (LD = 0.46 and 0.45). IL-10 haplotypes were constructed based on rs1800871 and rs1800896 minor allele frequencies, with four haplotypes (with a frequency >1%) were found. Results from Table 4 demonstrated enrichment of the two minor alleles GT haplotype among the HNC and NPC patients than the controls, thereby assigning disease susceptibility nature to this haplotype [P = 0.002, OR (95% CI) = 2.98 (1.48–6.02); P < 0.001, OR (95% CI) = 3.62 (1.75–7.48)], respectively. The distribution of the other haplotypes was comparable between the HNC and the controls. However, GC haplotype appears to be protective of HNC [P = 0.038, OR (95% CI) = 0.69 (0.49–0.98)] and NPC subtype [P = 0.021, OR (95% CI) = 0.64 (0.43–0.95)]. Furthermore, a positive association was found between TA haplotype and LC [P = 0.03, OR (95% CI) = 2.25 (1.32–3.83)].

Table 4.

Two-loci IL-10 haplotype distribution in head and neck, nasopharyngeal and laryngeal cancer cases and controls.

HNC NPC LC
Haplotype1 Cases Controls P OR (95% CI) Cases P2 OR (95%CI) Cases P3 OR (95% CI)
AC 0.379 0.352 0.397 _ 0.311 0.67 1.12 (0.66–1.89)
GC 0.283 0.387 0.038 0.69 (0.49–0.98) 0.288 0.0219 0.64 (0.43–0.95) 0.294
AT 0.229 0.225 0.81 0.95 (0.64–1.43) 0.182 0.12 0.68 (0.42–1.11) 0.364 0.03 2.25 (1.32–3.83)
G T 0.108 0.034 0.002 2.98 (1.48–6.02) 0.131 <0.001 3.62 (1.75–7.48) 0.030 0.83 (0.22–6.49)

HNC: head and neck cancer; n: number of subjects; NPC: nasopharyngeal carcinoma; LC: laryngeal cancer. 1: two-locus rs180087-rs1800896 haplotype; underlined bold indicates minor allele; 2: nasopharyngeal cancer versus controls; 3: laryngeal cancer versus controls

4. Discussion

Increasing evidence implicated imbalance of pro- and antiinflammatory cytokines in the persistence of local inflammation in HNC patients, including NPC and LC, of which IL-10 was hypothesized to be a key determinant in HNC growth (22,23). Recent studies suggested that genetic polymorphisms in pro- and antiinflammatory cytokines contribute to the pathogenesis of several malignancies, including HNC (24,25). This prompted the speculation that cytokine gene variants may serve as potential biomarkers for NPC detection, especially in the early stages. This incited us to investigate the possible relationship between common IL-10 promoter variants -1082A/G (rs1800896), -819C/T (rs1800871), and -592C/A (rs1800872), and the risk of HNC in Tunisians.

A positive association was observed between -1082A/G (rs1800896) polymorphism and HNC and NPC risk. This was in agreement with two recent metaanalyses. The first one carried out on nine studies involving 2258 HNC patients and 2887 control subjects reported an OR of 1.64 when the -1082A/G genotype carriers were compared to those of -1082A/A (24). The second metaanalysis, including four NPC case-control studies, revealed that carriage of -1082A/G and -1082A/A genotypes were associated with 1.77-fold elevated risk of NPC, when compared with the homozygous G/G genotype (21). Collectively, this supports the notion that -1082A/G IL-10 variant constitutes a risk factor for HNC and NPC. On the other hand, a negative association of rs1800896 A/A genotype was observed between the LC patients and the controls, suggesting a protective effect of this variant against LC development.

IL-10 rs1800871 C/C genotype was associated with 2.5-fold and 3.33-fold higher risk of NPC and LC development, respectively, and carriers of rs1800872 A/A genotype were at 2.5-fold higher risk for HNC and NPC but not LC. In contrast, no statistically significant association was detected between these two IL-10 variants and HNC and NPC according to the results of these two recent metaanalyses (21,24).

While the tested IL-10 variants were linked with altered IL-10 secretion in rheumatoid arthritis (17), and gastric inflammation (26), few studies investigated the association between IL-10 genotypes and IL-10 levels in HNC. To the best of our knowledge, this was the first study that examined the association between IL-10 genotypes and IL-10 levels in HNC. Although the three tested variants were previously linked with altered IL-10 secretion, our findings indicate that only rs1800896 was associated with reduced IL-10 levels. These points to the contribution of HNC-associated factors in regulating the IL-10 secretion.

Haploview analysis revealed high LD between rs1800871 and rs1800896, but weak LD between rs1800872 and the two other IL-10 variants. Of the four obtained haplotypes, GT (minor) and GC were positively associated with HNC and NPC, but not with LC. In addition, AT haplotype was positively associated with LC but not with NPC. The contradictory results obtained for LC and NPC are explained by the different etiologies of these HNCs. This is supported by our recent study evaluating the effect of eight VEGF-A polymorphisms on LC and NPC susceptibility, which revealed that none of the tested variants significantly influenced LC risk contrary to their association with NPC, further confirming that these HNCs have different etiologies (27).

5. Conclusion

The present findings showed that IL-10 rs1800896, rs1800871, and rs1800872 variants, along with specific (2-loci) haplotypes contribute to the development of NPC. This suggests a possible role for these variants as biomarkers for early detection of HNC and especially the NPC subtype. However, IL-10 rs1800871 and AT haplotype may be used for detection of subjects at higher risk of LC.

Acknowledgments

We thank all blood donors and patients with HNC who voluntarily participated in the present study. We are grateful to the staff of Salah Azaiz Oncology Institute, Tunisian Center of Maternity and Néonatalogy, and Dispenser of Ettadhamen City for their help in the collection of blood samples.

References

  1. Cancer incidence and mortality worldwide: sources, methods. GLOBOCAN 2012. Int J Cancer. 2015. pp. 136–136. [DOI] [PubMed]
  2. Chaturvedi AK Anderson WF Lortet-Tieulent J Worldwide trends in incidence rates for oral cavity and oropharyngeal cancers. J Clin Oncol. 2012;31:4550–4559. doi: 10.1200/JCO.2013.50.3870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arginis A Karamousis MV Raben D Ferris RL Head and neck cancer. Lancet. 2008;371:1695–1709. doi: 10.1016/S0140-6736(08)60728-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Razak AR Siu LL Liu FF Ito E O’Sullivan B Chan K Nasopharyngeal carcinoma: the next challenges. Eur J Cancer. 2010;46:1967–1978. doi: 10.1016/j.ejca.2010.04.004. [DOI] [PubMed] [Google Scholar]
  5. Yoshizaki T Ito M Murono S Wakisaka N Kondo S Endo K Current understanding and management of nasopharyngeal carcinoma. Auris Nasus Larynx. 2012;39:137–144. doi: 10.1016/j.anl.2011.02.012. [DOI] [PubMed] [Google Scholar]
  6. Chang ET Adami HO The enigmatic epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. 2006;15:1765–1777. doi: 10.1158/1055-9965.EPI-06-0353. [DOI] [PubMed] [Google Scholar]
  7. Ragin CR Modugno F Gollin SM The epidemiology and risk factors of head and neck cancer: a focus on human papillomavirus. J Dent Res. 2007;86:104–114. doi: 10.1177/154405910708600202. [DOI] [PubMed] [Google Scholar]
  8. Ndiaye C Mena M Alemany L Arbyn M Castellsagué X Laporte L Bosch FX de Sanjosé S Trottier H HPV DNA, E6/E7 mRNA, a,d p16INK4a detection in head and neck cancers: a systemic review and meta-analysis. Lancet Oncol. 2014;141:5–11. doi: 10.1016/S1470-2045(14)70471-1. [DOI] [PubMed] [Google Scholar]
  9. Hasibe M Boffetta P Zaridze D Shangina O Szeszenia-Dabrowska N Mates D Evidence for an important role of alcohol- and aldehyde-metabolizing genes in cancers of the upperaerodigestive tract. Cancer Epidemiol Biomarkers Prev. 2006;15:696–703. doi: 10.1158/1055-9965.EPI-05-0710. [DOI] [PubMed] [Google Scholar]
  10. Perry B Zammit AP Lewandowski AW Bashford JJ Dragovic AS Perry EJ Hayatbakhsh R Perry CF Sites of origin of oral cavity cancer in nonsmokers vs smokers: possible evidence of dental traumacarcinogenesis and its importance compared with human papillomavirus. JAMA Otolaryngol Head Neck Surg. 2015;141:5–11. doi: 10.1001/jamaoto.2014.2620. [DOI] [PubMed] [Google Scholar]
  11. Coussens L M Werb Z Inflammation and cancer. Nature. 2002;420:860–867. doi: 10.1038/nature01322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bidwell J Keen L Gallagher G Kimberly R Huizinga T McDermott MF Oksenberg J McNicholl J Pociot F Hardt C D’Alfonso S. Cytokine gene polymorphism in human disease: on-line databases. Genes Immun. 2001;2:61–70. doi: 10.1038/sj.gene.6363733. [DOI] [PubMed] [Google Scholar]
  13. DeVries JE Immunosuppressive and anti-inflammatory properties of interleukin 10. Ann Med. 1995;27:537–541. doi: 10.3109/07853899509002465. [DOI] [PubMed] [Google Scholar]
  14. Eskdale J Kube D Tesch H Mapping of the human IL10 gene and further characterization of the 5’ flanking sequence. Immunogenetics. 1997;46:120–128. doi: 10.1007/s002510050250. [DOI] [PubMed] [Google Scholar]
  15. Turner DM Williams DM Sankaran D Lazarus M Sinnott PJ Hutchinson IV Investigation of polymorphism in the interleukin 10 gene promoter. Eur J Immunogenet. 1997;24:1–8. doi: 10.1111/j.1365-2370.1997.tb00001.x. [DOI] [PubMed] [Google Scholar]
  16. Kingo K Ratsep R Influence of genetic polymorphisms on interleukin-10 mRNA expression. J Dermatol Sci. 2005;37:111–113. doi: 10.1016/j.jdermsci.2004.10.002. [DOI] [PubMed] [Google Scholar]
  17. Crawley E Kay R Sillibourne J Polymorphic haplotypes of the interleukin-10 5’ flanking region determine variable interleukin-10 transcription are associated with particular phenotypes of juvenile rheumatoid arthritis. Arthritis Rheum. 1999;42:1101–1108. doi: 10.1002/1529-0131(199906)42:6<1101::AID-ANR6>3.0.CO;2-Y. [DOI] [PubMed] [Google Scholar]
  18. Wu MS Wu CY Chen CJ Lin MT Shun CT Lin JT Interleukin-10 genotypes associate with the risk of gastric carcinoma in Taiwanese Chinese. Int J Cancer. 2003;104:617–623. doi: 10.1002/ijc.10987. [DOI] [PubMed] [Google Scholar]
  19. Havranek E Howell WM Fussell HM Whelan JA Whelan MA Pandha HS An IL-10 promoter polymorphism may influence tumour development in renal cell carinoma. J Urol. 2005;173:709–712. doi: 10.1097/01.ju.0000152493.86001.91. [DOI] [PubMed] [Google Scholar]
  20. Zidi S Gazouani E Stayoussef M Mezlini A Yacoubi-Loueslati B Almawi WY IL-10 gene promoter and intron polymorphisms as genetic biomarkers of cervical cancer susceptibility among Tunisians. Cytokine. 2015;76:343–347. doi: 10.1016/j.cyto.2015.05.028. [DOI] [PubMed] [Google Scholar]
  21. Yu YF Han ZG Guo WB Interleukin-10 polymorphisms and nasopharyngeal carcinoma risk: a meta-analysis. Genet Mol Res. 2015;14:18945–18957. doi: 10.4238/2015.December.29.1. [DOI] [PubMed] [Google Scholar]
  22. Mocellin S Marincola FM Young HA Interleukin-10 and the immune response against cancer: a counterpoint. J Leukoc Biol. 2005;78:10043–10051. doi: 10.1189/jlb.0705358. [DOI] [PubMed] [Google Scholar]
  23. Malefyt RW Abrams J Bennett B Figdor CG Vries JE Interleukin 10 (IL-10) inhibits cytokine synthesis by human monocytes: an autoregulatory role of IL-10 produced by monocytes. J Exp Med. 1991;174:1209–1220. doi: 10.1084/jem.174.5.1209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Increased risks between Interleukin-10 gene polymorphisms and haplotype and head and neck cancer: a meta-analysis. Sci Rep. 2015. pp. 17149–17149. [DOI] [PMC free article] [PubMed]
  25. Ma L A pooled analysis of the IL-10-1082 A/G polymorphism and the nasopharyngeal carcinoma susceptibility. Eur Arch Otorhinolaryngol. 2014;273:1–7. doi: 10.1007/s00405-014-3465-9. [DOI] [PubMed] [Google Scholar]
  26. Rad R Dossumbekova A Neu B Lang R Bauer S Saur D Cytokine gene polymorphisms influence mucosal cytokine expression, gastric inflammation and host specific colonisation during Helicobacter pylori infection. Gut. 2004;53:1082–1089. doi: 10.1136/gut.2003.029736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Makni L Stayoussef M Gazouani E Mezlini A Almawi YW Distinct association of VEGF-A polymorphisms with laryngeal cancer. Meta Gene. 2016;10:90–94. [Google Scholar]

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