Literature DB >> 31788049

Interleukin 1 receptor antagonist gene variable number of tandem repeats polymorphism and cutaneous melanoma.

Sabina Cauci1, Cinzia Buligan1,2, Francesco Rocchi1, Ilaria Salvador1, Luigi Xodo1, Giuseppe Stinco1,2.   

Abstract

Immunity and cytokines serve crucial roles in cutaneous melanoma. The present study investigated whether a variable number tandem repeat (VNTR) polymorphism of interleukin-1 receptor antagonist (IL-1RA) gene (IL-1RN) located in intron 2 (rs2234663) is associated with cutaneous melanoma. A total of 515 subjects were studied, 133 of which were cutaneous melanoma cases (72 stage I+II non-metastatic melanoma cases and 61 stage III+IV metastatic melanoma cases), and 382 subjects were matching healthy controls from the Friuli-Venezia-Giulia Region located in Northeast Italy, an area with a high melanoma incidence. The IL-1RN-VNTR polymorphism was determined by DNA fragment length analysis following PCR amplification. According to the number of 86-bp repeats, five different IL-1RN alleles were identified: Allele 1 (4-repeats), allele 2 (2-repeats, short allele), allele 3 (5-repeats), allele 4 (3-repeats) and allele 5 (6-repeats). Alleles with three or more 86-bp repeats, i.e. allele 1, 3, 4 and 5 were collectively denoted as long (L) repeats. The present study revealed that IL-1RN-VNTR 1/2 and 2/L genotypes were more frequent among patients with cutaneous melanoma (43.6 and 45.1%, respectively) compared with healthy controls [29.6 and 30.6%, respectively; odds ratio (OR), 1.84; CI, 1.22-2.77; P=0.003; and OR, 1.66; CI, 1.24-2.79; P=0.002, respectively]. Conversely, the IL-1RN-VNTR 1/1 genotype was less frequent among melanoma cases (45.9%) compared with healthy controls (57.9%; OR, 0.62; CI, 0.41-0.92; P=0.017). Comparison of metastatic vs. non-metastatic melanoma cases identified no significant differences. The present study first demonstrated that carriage of the 1/1 IL-1RN-VNTR genotype was protective, whereas 1/2 and 2/L was a risk factor for patients with cutaneous melanoma vs. healthy controls. The short allele 2 was associated with higher expression levels of IL-1RA, a potent competitive inhibitor of the proinflammatory cytokines IL-1α and IL-1β. VNTR-IL-1RN polymorphism may affect susceptibility to melanoma and, thus, it is a potential novel diagnostic biomarker for melanoma. The present study increased the understanding of genetic melanoma susceptibility/carcinogenesis, and may indicate novel strategies in the personalized prevention of cutaneous melanoma. Copyright: © Cauci et al.

Entities:  

Keywords:  cutaneous melanoma; immunity; innate response; interleukin 1 family; interleukin 1 receptor; interleukin 1 receptor antagonist; polymorphism; skin cancer

Year:  2019        PMID: 31788049      PMCID: PMC6865156          DOI: 10.3892/ol.2019.10923

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Factors that affect cutaneous melanoma need to be addressed and molecular genetic studies appear promising for a precision/personalized medicine approach (1–3). A growing body of data indicates that besides exposure to ultraviolet (UV) radiation, especially intermittent sun exposure (4), sunburns (4,5), and fair skin (4–6), other factors including vitamin D (2,3,7), polychlorinated biphenyls (8), host inflammatory responses (9,10), geographical factors (5,6,11,12), the lifestyle (11–13), and genetic background can also play a role (1–3,14). Melanoma has a rate of 22.0 in males and 18.3 in females per 100,000/year (standardized for European population) in Italy (15), and higher incidence rates (32.5/100,000/year in males; 23.7/100,000/year in females) have been recorded in Friuli Venezia Giulia (FVG) (15), a Region located in Northeast Italy at the border with Austria and Slovenia. The incidence of melanoma in Italy shows an increasing trend (15), Northeast Italy has the highest prevalence of melanoma (16), and the FVG Region has the highest rate of hospitalization for melanoma in Italy (17). The interleukin 1 alpha (IL-1α) and IL-1 beta (IL-1β) cytokines and the specific receptor antagonist (IL-1RA) are components of the interleukin 1 family (18). IL-1α and IL-1β are involved in several physiological and pathological diseases (18,19), modulating the immune response to pathogenesis and tissue injuries. Moreover, these cytokines have a role in the promotion of cancer-associated inflammation paradoxically both as protective or favoring cancer/metastasis onset (19,20). IL-1RA neutralizes IL-1α and IL-1β action by binding to the IL-1 receptors (IL-1R type I, IL-1R1 and type II, IL-1R2) without causing any signaling transduction (18). This prevents the IL-1α and IL-1β induced cascade of kinases that activates NF-kB and cyclooxygenase-2 (COX-2) following IL-1 (either α or β) binding to IL-1R1 (18). The IL-1 family of cytokines and receptors is involved in a broad spectrum of immunological and inflammatory responses including activation of lymphocytes (18–22). Specifically, IL-1 cytokines promote increased levels of the main chemokine IL-8 (CXCL8) and consequently activate recruitment of neutrophils (23,24). An in vitro human cellular study showed that IL-1RA inhibits CXCL8 release (24). Interestingly, a recent research in myeloid cells found that inflammasomes/IL-1 pathways induce the expression of the programmed death-ligand 1 (PD-L1) on tumor cells, which is an immune checkpoint molecule used as target of melanoma therapy (25,26). Furthermore, blocking IL-1 receptor with IL-1RA or anti-IL-1R1 antibody inhibits tumor growth and metastasis accompanied by decreased accumulation of myeloid cells and expression of the PD-L1 molecule (25). Currently, inflammation and specific IL-1 targeting as treatment of cancer is an active area of experimental and clinical research (18,20,27). IL-1 mediated inflammation is proposed to contribute to the development and progression of some cancers including melanoma (28). IL-1 appear to act at different levels in tumor initiation and progression, including driving chronic non-resolving inflammation, tumor angiogenesis, activation of the IL-17 pathway, induction of myeloid-derived suppressor cells and macrophage recruitment, invasion and metastasis (20). The effects of IL-1 cytokines are pleiotropic so that any shift of the biological balance between agonistic and antagonistic signals has the potential to cause a disease (19). Notably, the role of IL-1RA in cancer has been studied in different types of tumors showing effects on survival and progression (18–22). Increasing evidence showed that genetic polymorphisms of IL-1 family members can affect susceptibility to disease. Human IL-1RA gene (IL-1RN) is located in chromosome 2, specifically 2q13-2q21 (29,30). Current studies and meta-analyses evaluated the role of a variable number of tandem (VNTR) 86-bp repeats located in intron 2 of the IL-1RN gene in relation to various diseases and cancers, particularly gastric cancer (31–33). Specifically, the IL-1RN allele 2 (IL-1RN*2, constituted of two 86-bp repeats also denoted as short allele) has been associated with increased cancer risk in heterozygous subjects (33). Nonetheless, IL-1RN VNTR polymorphism roles in cancer still require further study as inconsistent results have been obtained in cancers of different tissue origins (33). So far, only one German study assessed the role of IL-1RN VNTR polymorphism in 97 melanoma patients and 343 controls (34). No significant findings were obtained, the heterozygous 1/2 genotype was found in 28.8% of advanced melanoma patients vs. 39.6% of healthy controls; P=0.06 (34). Pathways underlying the relationship of IL-1RN VNTR and melanoma currently poses an interesting new challenge in melanoma research (1,34) also by considering the potential roles of IL-1RA in modulating PD-1/PD-L1 (25). Progress in the understanding of melanoma risk factors, genomics, and molecular pathogenesis may drive advances in precision medicine applied to melanoma (1–3,35,36). In light of these observations, we explored IL-1RN VNTR polymorphism and its association with cutaneous malignant melanomas, specifically those with metastatic melanoma (MetM) vs. non-metastatic melanoma (NMetM) and vs. healthy controls.

Materials and methods

Population

Enrolment and clinical visits of all study participants were performed at the Udine University-Hospital Dermatology Clinic. Diagnostic procedures were carried out according to routine protocols. The Udine Institutional Ethical Committee approved the study protocol, which was conducted according to the Declaration of Helsinki. All participants were alive during enrolment in the study and signed a written informed consent. Using a case-control design, the study consecutively enrolled 133 (age range of 31–87 years) unrelated patients (hospitalized or outpatients) of both sexes with documented cutaneous melanoma diagnosis and 382 (age range of 31–87 years) asymptomatic healthy controls of both sexes, which were matched for age and ancestry with melanoma cases. Inclusion criteria for both melanoma cases and healthy controls were as follows: Caucasian resident in FVG Region, at least two Italian grandparents born in FVG Region (or Austro-Hungarian territory before World War I) as described (2,3). Due to the demonstrated association of IL-1RN VNTR with high-grade athleticism, athletes were excluded both from melanoma cases and healthy controls as described (37). Further, exclusion criteria for healthy controls included the following: any kind of lifelong malignant or benign tumor, first-grade relatives with a history of melanoma, and major chronic diseases, such as autoimmune diseases including type 1 diabetes. Among healthy controls 268 subjects were previously studied (37). Melanoma was diagnosed using immunohistological findings obtained after surgical excision of nevi with clinical and dermoscopic characteristics suggesting the presence of malignancy. Classification of melanoma stages was performed by clinical/histological/radiological findings, as described (38,39), which was our routine in the period of the study whose patient enrollment was completed on December 2017. Inclusion criteria for case-patients comprised only cutaneous not mucosal melanomas. For patients with multiple melanomas, the major melanoma characteristics were accounted for in study analyses according to the histological assessment of major primary tumor (T) grading. Each participant answered a questionnaire, which was used to collect data on demographic characteristics, medical and family history of melanoma, smoking habits, and history of sunburns as described (2). Phototype was assessed by Fitzpatrick criteria (39). BMI was determined by weight (kg) divided by squared height (m2); BMI >30 kg/m2 was considered an indicator of obesity.

Genetic analysis of the VNTR IL-1RN polymorphism

VNTR IL-1RN polymorphism was determined, as previously described (40) after extraction of genomic DNA from ethylenediaminetetraacetic-acid-treated venous blood samples (41). The IL-1RN intron 2 VNTR polymorphism (rs2234663; also indicated as rs380092) was analyzed using 5′-CTCAGCAACACTCCTAT-3′ and 5′-TCCTGGTCTGCAGGTAA-3′ as primers (37,40). The PCR products of 412-bp (allele 1 corresponding to 4 repeats of the 86-bp region), 240-bp (allele 2, 2 repeats also defined as short allele), 498-bp (allele 3, 5 repeats), 326-bp (allele 4, 3 repeats), 584-bp (allele 5, 6 repeats) were analyzed by electrophoresis on 10% acrylamide gel stained with ethidium bromide (40). Alleles with three or more 86-bp repeats were denoted as long (L) alleles (37).

Statistical analysis

Continuous variables were expressed as a mean ± standard deviation, and Mann-Whitney U test was performed for comparison. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for categorical variables, and P values for two-sided Pearson's chi-squared or Fisher's exact test were reported as was appropriate. P<0.05 was considered to indicate a statistically significant difference and P≤0.10 indicates a tendency to be significant. Statistical software SPSS for Windows (SPSS Inc., Chicago, IL, USA) was used.

Results

Study subjects

All 515 (133 cutaneous melanoma patients and 382 healthy controls) study subjects were Italian Caucasian residents in Northeast Italy. Melanoma cases and healthy controls did not differ for age.

Comparison of VNTR IL-1RN genotypes in cutaneous melanoma patients and healthy controls (as shown in Table I)

In all 515 study subjects (data shown in Table SI), the most frequent IL-1RN allele was allele 1 (IL-1RN*1, frequency was 72.9%), followed by allele 2 (IL-1RN*2, frequency was 24.5%) and by allele 3 (IL-1RN*3, frequency was 2.5%). The rare heterozygous genotype 1/4 was found in one MetM patient, and 1/5 genotype was found in one NMetM patient, finally, the rare homozygous 3/3 was found in one healthy control. Homozygous 1/1 genotype was less frequent in melanomas than in healthy control subjects (OR=0.62, P=0.017). Conversely, heterozygous 1/2 genotype was almost twice more frequent in melanomas than in healthy patients (OR=1.84, P=0.003). No differences were observed for 1/3, 2/2, and 2/3 genotypes. The group of all heterozygous genotypes containing the short allele 2 and one of the long alleles 1, 3, 4, 5 (designed in the literature as 2/L genotype) (33,37) had OR=1.66, P=0.002 for melanomas compared with healthy controls. The group including all genotypes containing the short allele 2 (heterozygous 2/L plus homozygous 2/2 genotypes) was more frequent in melanoma patients than in healthy controls (OR=1.53, P=0.036). As shown in Table I, frequency of allele 1, 2, and 3 did not significantly differ between melanoma and healthy groups, although carriers of allele 1 were slightly less frequent among melanoma patients (70.3%) than healthy controls (74.3%), OR=0.82, P=0.199, whereas carriers of the allele 2 were slightly more frequent among melanoma patients (26.3%) than healthy controls (23.2%), OR=1.18, P=0.300.
Table I.

Genotype frequencies of IL-1RN VNTR in all 515 study subjects and comparison of 133 patients with melanoma with 382 healthy controls.

IL-1RN VNTR genotype/alleleAll subjects (n=515) (%)All patients with melanoma (n=133) (%)Healthy controls (n=382) (%)OR (95% CI)P-value Melanoma vs. Control
1/1282 (54.8)61 (45.9)221 (57.9)0.62 (0.41–0.92)0.017
1/2171 (33.2)58 (43.6)113 (29.6)1.84 (1.22–2.77)0.003
1/318 (3.5)5 (3.8)13 (3.4)1.11 (0.39–3.17)0.789
2/235 (6.8)5 (3.8)30 (7.9)0.46 (0.17–1.21)0.106
2/36 (1.2)2 (1.5)4 (1.0)1.44 (0.26–7.97)0.651
2/L (1/2 and 2/3)[a]177 (34.4)60 (45.1)117 (30.6)1.66 (1.24–2.79)0.002
1/2 and 2/2 and 2/3 and 2/4212 (41.2)65 (48.9)147 (38.5)1.53 (1.03–2.27)0.036
1/3 and 2/3 and 3/3[b]25 (4.9)7 (5.3)18 (4.7)1.12 (0.46–2.75)0.799
Allele 1755 (73.3)[c]187 (70.3)[c]568 (74.3)0.82 (0.60–1.11)0.199
Allele 2247 (24.0)70 (26.3)177 (23.2)1.18 (0.86–1.63)0.300
Allele 326 (2.5)[d]7 (2.6)19 (2.5)[d]1.06 (0.44–2.55)0.897

Heterozygous subjects containing the short allele 2 and one long allele (1, 3, 4 and 5) are denoted as 2/L according the literature (33).

Homozygous genotype 3/3 was present in only one healthy subject.

One metastatic patients had genotype 1/4, and one non-metastatic patient had genotype 1/5.

One healthy subject had genotype 3/3. IL-1RN, interleukin-1 receptor antagonist gene; OR, odds ratio; VNTR, variable number tandem repeat.

Comparisons of IL-1RN VNTR genotypes in MetM and NMetM cutaneous melanoma patients and healthy controls (as shown in Table II)

The VNTR IL-1RN genotypes were not associated with the metastatic grade of cutaneous melanoma as illustrated in Table II by comparison of MetM with NMetM patients.
Table II.

Genotype frequencies of IL-1RN VNTR comparisons of 61 patients with MetM and 72 patients with NMetM and 382 healthy controls.

IL-1RN VNTR genotype/alleleMetM (n=61) (%)NMetM (n=72) (%)OR[a] (95% CI)P-value[a]OR[b] (95% CI)P-value[b]OR[c] (95% CI)P-value[c]
1/127 (44.3)34 (47.2)0.89 (0.45–1.76)0.7330.58 (0.34–1.00)0.0470.65 (0.39–1.08)0.095[g]
1/226 (42.6)32 (44.4)0.93 (0.47–1.85)0.8331.77 (1.02–3.07)0.0421.90 (1.14–3.18)0.013
1/33 (4.9)2 (2.8)1.81 (0.29–11.2)0.6601.47 (0.41–5.31)0.4720.81 (0.18–3.67)1.000
2/24 (6.6)1 (1.4)4.98 (0.54–45.8)0.1790.82 (0.28–2.42)1.0000.16 (0.02–1.23)0.043
2/30 (−)2 (2.8)0.97 (0.93–1.01)0.5000.99 (0.98–1.00)1.0002.70 (0.48–15.0)0.243
2/L (1/2 and 2/3)[f]26 (42.6)34 (47.2)0.83 (0.42–1.65)0.5951.68 (0.97–2.92)0.063[g]2.03 (1.21–3.38)0.006
1/2 and 2/2 and 2/3 and 2/430 (49.2)35 (48.6)1.02 (0.52–2.02)0.9481.55 (0.90–2.66)0.1131.51 (0.91–2.51)0.108
1/3 and 2/3 and 3/33 (4.9)4 (5.5)0.88 (0.19–4.09)1.0001.05 (0.30–3.66)1.0001.19 (0.39–3.62)0.764
Allele 184[d] (68.9)103[e] (71.5)0.88 (0.52–1.49)0.6340.76 (0.50–1.16)0.2010.87 (0.58–1.29)0.480
Allele 234 (27.9)36 (25.0)1.16 (0.67–2.00)0.5961.28 (0.83–1.97)0.2581.10 (0.73–1.67)0.634
Allele 33 (2.5)4 (2.8)0.88 (0.19–4.02)1.0000.99 (0.29–3.39)1.0001.12 (0.37–3.34)0.774

Comparison between MetM and NMetM.

Comparison between MetM and healthy controls.

Comparison between NMetM and healthy controls.

One metastatic patients had genotype 1/4.

One non-metastatic patient had genotype 1/5.

Heterozygous subjects containing the short allele 2 and one long allele are denoted as 2/L in the literature (33).

Significant tendencies. IL-1RN, interleukin-1 receptor antagonist gene; MetM, metastatic melanoma; NMetM, non-metastatic melanoma; OR, odds ratio; VNTR, variable number tandem repeat.

By comparison of 61 MetM patients with healthy controls, 1/1 genotype was protective (OR=0.58, P=0.047) and 1/2 was at risk (OR=1.77, P=0.042), the group of 2/L genotypes showed a tendency at risk (OR=1.68, P=0.063). By comparison of 72 NMetM patients with healthy controls, the 1/2 and 2/L genotypes were at risk (OR=1.90, P=0.013, and OR=2.03, P=0.006, respectively). The frequency of allele 1, 2, and 3 did not differ between groups as shown in Table II.

Primary demographic and clinical characteristics of melanoma patients and comparison between VNTR IL-1RN 2/L and other remaining genotypes (as shown in Table III)

Main demographic and clinical characteristics of the 133 melanoma patients are described in Table III. We examined in detail the differences between heterozygous carriers of the short allele 2 (2/L group, n=60) and the other remaining genotypes (non-2/L group, n=73) in melanoma patients. No differences were noted between groups, however, the frequency of patients with a number of body nevi >50 tended to be higher in 2/L than non-2/L carriers (58.3% vs. 42.5%, OR=1.90, P=0.069).
Table III.

Clinical characteristics of 133 patients with melanoma consecutively enrolled, and comparison between the two genetic subgroups of IL-1RN VNTR 2/L genotypes (n=60) and all other genotypes (n=73).

CharacteristicsAll patients with melanoma (n=133)2/L genotype (n=60)Non-2/L genotypes (n=73)OR (CI), 2/L vs. Non-2/LP-value, 2/L vs. Non-2/L
Age <50 years, n (%)29 (21.8)13 (21.7)16 (21.9)0.98 (0.43–2.25)0.972
Age at study enrolment, years, mean ± SD60.8±12.761.1±12.960.7±12.70.788[a]
Age at melanoma diagnosis, years, mean ± SD54.2±13.754.4±13.554.0±14.00.781[a]
Time from melanoma diagnosis, years, mean ± SD6.7±4.16.7±4.46.6±3.90.754[a]
Females, n (%)58 (43.6)26 (43.3)32 (43.8)0.98 (0.49–1.95)0.954
Males, n (%)75 (56.4)34 (56.7)41 (56.2)1.02 (0.51–2.03)0.954
All grand-parents born in FVG96 (72.2)43 (71.7)53 (72.6)0.95 (0.45–2.04)0.905
BMI, kg/m2, mean ± SD25.8±3.9726.1±4.025.6±4.00.643[a]
BMI >30 kg/m2, n (%)22 (16.5)11 (18.3)11 (15.1)1.26 (0.51–3.16)0.614
High school, n (%)60 (45.1)27 (45.0)33 (45.2)0.99 (0.50–1.97)0.981
Graduation, n (%)15 (11.3)5 (8.3)10 (13.7)0.57 (0.18–1.78)0.330
Present smoker, n (%)12 (9.0)4 (6.7)8 (11.0)0.58 (0.17–2.03)0.390
Past smoker, n (%)53 (39.8)25 (41.7)28 (38.4)1.15 (0.57–2.30)0.698
Ever smoker, n (%)65 (48.9)29 (48.3)36 (49.3)0.96 (0.48–1.90)0.910
≥20 cigarettes ever in all subjects, n (%)40 (30.1)17 (28.3)23 (31.5)0.86 (0.41–1.81)0.691
Phototype number2.4±0.72.5±0.72.3±0.60.146[a]
Phototype 1 and 2, n (%)77 (57.9)30 (50.0)47 (64.4)0.55 (0.28–1.11)0.095[g]
Nevi > 50, n (%)66 (49.6)35 (58.3)31 (42.5)1.90 (0.95–3.79)0.069[g]
Burns over 5, n (%)71 (53.4)32 (53.3)39 (53.4)1.00 (0.50–1.98)0.992
NMetM, n (%)72 (54.1)34 (56.7)38 (52.1)1.20 (0.61–2.39)0.595
Stage I, n (%)52 (39.1)24 (40.0)28 (38.4)1.07 (0.53–2.16)0.847
Stage II, n (%)19 (14.3)9 (15.0)10 (13.7)1.11 (0.42–2.94)0.831
Stage III, n (%)38 (28.6)19 (31.7)19 (26.0)1.32 (0.62–2.80)0.474
Stage IV, n (%)24 (18.0)8 (13.3)16 (21.9)0.55 (0.22–1.39)0.200
Trunk, n (%)75 (56.4)36 (60.0)39 (53.4)1.31 (0.65–2.61)0.447
Upper limb, n (%)9 (6.8)5 (8.3)4 (5.5)1.57 (0.40–6.12)0.731
Lower limb, n (%)28 (21.1)11 (18.3)17 (23.3)0.74 (0.32–1.73)0.486
Hands/feet, n (%)8 (6.0)3 (5.0)5 (6.8)0.72 (0.16–3.13)0.729
Head/neck, n (%)13 (9.8)5 (8.3)8 (11.0)0.74 (0.23–2.39)0.612
Superficial spreading, n (%)70 (52.6)31 (51.7)39 (53.4)0.93 (0.47–1.85)0.840
Nodular, n (%)45 (33.8)23 (38.3)22 (30.1)1.44 (0.70–2.96)0.320
Acral lentiginous, n (%)5 (3.8)1 (1.7)4 (5.5)0.29 (0.03–2.69)0.378
Lentigo maligna, n (%)2 (1.5)0 (−)b2 (2.7)0.97 (0.94–1.01)0.501
Spitzoide, n (%)5 (3.8)4 (6.7)1 (1.4)5.14 (0.56–47.3)0.174
Others, n (%)9 (6.8)3 (5.0)6 (8.2)0.59 (0.14–2.46)0.512
Breslow thickness, mm, mean ± SD2.05±1.852.17±2.121.95±1.610.871[a]
Clark I, n (%)2 (1.5)[c]0 (−)[b,d]2 (2.8)0.97 (0.93–1.01)0.501
Clark II, n (%)32 (24.4)[c]15 (25.4)[d]17 (23.6)[e]1.10 (0.50–2.45)0.810
Clark III, n (%)24 (18.3)[c]9 (15.3)[d]15 (20.8)[e]0.68 (0.27–1.70)0.411
Clark IV, n (%)67 (51.1)[c]33 (55.9)[d]34 (47.2)[e]1.42 (0.71–2.83)0.321
Clark V, n (%)4 (3.1)[c]1 (1.7)[d]3 (4.2)e0.40 (0.04–3.92)0.627
Ulceration, n (%)51 (38.3)26 (43.3)25 (34.2)1.47 (0.73–2.97)0.284
Mitosis >1, n (%)83 (63.4)[c]39 (66.1)[d]44 (61.1)[e]1.24 (0.60–2.54)0.555
Regression, n (%)20 (15.3)[c]9 (15.3)[d]11 (15.3)[e]1.00 (0.38–2.60)0.997
Brisk positive TILs, n (%)38 (29.0)[c]17 (28.8)[d]21 (29.2)[e]0.98 (0.46–2.10)0.965
Non-brisk TILs, n (%)47 (35.9)[c]25 (42.4)[d]22 (30.6)[e]1.67 (0.81–3.43)0.161
TILs absence, n (%)45 (34.4)[c]17 (28.8)[d]28 (38.9)[e]0.64 (0.30–1.33)0.227
Microsatellitosis, n (%)5 (3.8)[c]2 (3.4)[d]3 (4.2)[e]0.81 (0.13–5.00)1.000
Epithelioid variant, n (%)37 (28.0)[f]14 (23.3)23 (31.9)[e]0.65 (0.30–1.41)0.273
Fusate variant, n (%)13 (9.8)[f]6 (10.0)7 (9.7)[e]1.03 (0.33–3.25)0.957
Small cell variant, n (%)2 (1.5)[f]0 (−)[b]2 (2.8)[e]0.97 (0.93–1.01)0.500
More than 1 melanoma, n (%)20 (15.0)10 (16.7)10 (13.7)1.26 (0.49–3.26)0.634
Additional non-melanoma skin cancer, n (%)22 (16.5)7 (11.7)15 (20.5)0.51 (0.19–1.35)0.170
Additional non-skin cancer, n (%)29 (21.8)11 (18.3)18 (24.7)0.69 (0.29–1.59)0.379
Concurrent thyroid disease, n (%)16 (12.0)8 (13.3)8 (11.0)1.25 (0.44–3.56)0.675
Melanoma familiarity, n (%)18 (13.5)10 (16.7)8 (11.0)1.62 (0.60–4.42)0.338

Two-tailed Mann-Whitney U-test.

Uncountable because the group contained no subjects.

Data were available for 131 patients.

Data were available for 59 patients.

Data were available for 72 patients.

Data were available for 132 patients.

Significant tendencies. BMI, body mass index; FVG, Friuli Venezia-Giulia; IL-1RN, interleukin-1 receptor antagonist gene; OR, odds ratio; TILs, tumor-infiltrating lymphocytes; VNTR, variable number tandem repeat.

In a further analysis (data are not shown) by comparison of 2/L carriers with L/L carriers (n=68) among melanoma patients, still non significant differences were noted, however, frequency of patients with a number of body nevi >50 tended to be higher in 2/L than L/L carriers (58.3% vs. 42.6%, OR=1.88, CI=0.93–3.80, P=0.077). Complete questionnaire data including body nevi number were available for 114 healthy control subjects; no significant differences were noted for a nevi number >50 by comparing 2/L vs. all other remaining genotypes (12/40, 30.0% vs. 25/74, 33.8%, OR=0.84, CI=0.37–1.93, P=0.680), and by comparing 2/L vs. L/L (12/40, 30.0% vs. 23/66, 34.8%, OR=0.80, CI=0.34–1.86, P=0.607).

Discussion

IL-1RA has been implicated in oncogenesis as mice deficient in IL-1RA develop the disease in response to carcinogens (42). IL-1RA by binding to IL-1R1 strongly modulates the action of IL-1 (IL-1α and IL-1β) cytokines, which in turn can induce expression of hundreds of genes, including themselves (via a positive feedback loop) (43).

IL-1RN VNTR polymorphism

IL-1RN is considered an important ‘hub’ gene in melanoma research (1). Previous studies found associations of the short IL-1RN*2 allele (two 86-bp repeats) with a variety of epithelial-related chronic inflammatory diseases including psoriasis, scleroderma, alopecia areata, lichen sclerosus, systemic lupus erythematosus, and ulcerative colitis (44). The number of 86-bp repeats in the VNTR IL-1RN polymorphism, which is located in intron 2, does not alter the encoded amino acid sequence of IL-1RA, but may be of functional significance as the repeated sequences contain putative binding sites for transcription factors (45,46). A general correlation between IL-1RN*2 allele and the presence of autoinflammatory disease strongly supports a role of VNTR IL-1RN polymorphism in the control of the inflammatory response (46). We observed a general distribution of IL-1RN VNTR genotypes (1/1, 54.8%; 1/2, 33.2%; 1/3, 3.5%; 2/2, 6.8%; 2/3, 1.2%; 1/4, 0.2%; 1/5, 0.2% and 3/3, 0.2%) among the 515 Italian study subjects roughly in agreement with other investigations (33,34,40). Notably, in our study, nearly twofold higher frequency of 1/2 VNTR IL-1RN genotype was observed in melanoma patients (43.6%) compared with healthy controls (29.6%), OR=1.84, P=0.003. This OR value became slightly lower (but still statistically significant) by grouping all heterozygous genotypes containing the short 2 allele and one long allele (2/L group, OR=1.66, P=0.002), and all carriers of allele 2 (2/L+2/2) (OR=1.53, P=0.036). We observed that the 1/2 genotype was still at risk by comparing separately the subgroups of metastatic melanomas (OR=1.77, P=0.042) and non-metastatic melanoma (OR=1.90, P=0.013) with healthy controls. Heterozygous 2/L carriers were at increased risk when comparing NMetM vs. healthy controls (OR=2.03, P=0.006), whereas a tendency was observed comparing MetM vs. healthy controls (OR=1.68, P=0.063). Homozygous VNTR IL-1RN 1/1 carriers were at reduced risk comparing melanoma cases with healthy controls (OR=0.62, P=0.017). The 1/1 genotype was protective for the subgroup of metastatic melanomas (OR=0.58, P=0.047), however, only a tendency for protection was observed for non-metastatic melanomas compared to healthy controls (OR=0.65, P=0.095). By a further analysis, we demonstrated that among melanoma patients the 1/2 and 2/L genotypes frequencies did not differ between MetM and NMetM patients. The 2/2 genotype was more frequent in MetM (6.6%) than in NMetM (1.4%) patients, however, such difference was not statistically significant (OR=4.98, P=0.179). Our study shows in detail that among melanoma patients, the 2/L genotypes did not differ from the remaining genotypes for demographic characteristics, gender, known risk factors, staging, location, and deepening of melanoma. However, we observed that among melanomas 58.3% of 2/L carries had more than 50 body nevi vs. 42.5% of non-2/L carriers OR=1.90, P=0.069. This tendency result should be confirmed in enlarged studies. A possible association of 2/L genotype with an increased number of body nevi could explain the higher risk of 2/L carriers for melanoma because an elevated body nevi number is a recognized risk factor for melanoma. This study is the first investigation of VNTR IL-1RN polymorphism in Italian melanoma patients, and the second one on this polymorphism and melanoma after the study of Broer and colleagues (34). Broer and colleagues performed a study in aggressive melanomas having stage III or higher (in other words all metastatic melanomas) and 343 healthy controls finding a frequency of allele IL-1RN*1 of 73.2% in melanomas and of 71.7% in healthy controls, a frequency of allele IL-1RN*2 of 23.7% in melanomas and of 28.3% in healthy controls, whereas the rare allele 3 was found in 2 melanoma patients, and allele 4 was found in 4 melanoma patients. Those data are roughly in line with our allele frequency data. However, the German study (34) did not observe statistically significant differences between aggressive melanomas and healthy controls for VNTR IL-1RN genotypes; indeed the frequency of 1/2 genotype tended to be even lower in aggressive melanomas than controls (28.8% vs. 39.6%, P=0.06). At variance, in our Italian melanoma group, the frequency of 1/2 genotype was 1.5-fold higher (43.6%) than in German patients. Such a difference could derive by different ethnic background (33) and/or by selection of melanoma cases. Moreover, the high rate of 1/2 genotype in the German healthy controls could be due to different inclusion/exclusion criteria in respect to our study, for example, in our study we excluded high-grade athletes because they have an increased frequency of VNTR 1/2 genotype (37). The 2/L genotype data of our study are consistent with studies relative to other cancers (33,47). The disproportionate levels of IL-1RA could activate balancing elevation of other factors in the complex network of IL-1 family cytokines and receptors that lead to fine tuning of immune response (19,48,49). Despite a large number of studies, the association of VNTR IL-1RN with cancer still shows some inconsistencies (33). The association of the VNTR IL-1RN polymorphism with cancer was examined by Zhang and colleagues (33) who performed a meta-analysis including 14,854 cases and 19,337 controls from 71 published case-control studies. Genotypic analysis showed significant associations in gastric cancer (2/L vs. L/L, OR=1.22, CI=1.05–1.41). However, in breast cancer, 2/L vs. L/L was protective (OR=0.74, CI=0.58–0.93), whereas in hepatocellular, cervical and lung cancer data were not significant. Moreover, such positive association with cancer was stronger in Asian than in Caucasian population (33). The inconsistency is likely caused in part by the differences in the subject ethnicity, sample sizes, disease stages, and cancer types for studies. It is apparent that further studies with large homogeneous patient populations will be needed to validate the association between VNTR IL-1RN gene polymorphism and human cancer. Allele 2 of VNTR IL-1RA polymorphism (IL-1RN*2) is considered to have modulatory effects on inflammatory response, however, evidence on final effects associated to IL-1RN*2 are contradictory (48,50,51). Evaluation of comprehensive effects of IL-1RN*2 is complicated by the concurrent modulation of the anti-inflammatory IL-1RA and the pro-inflammatory IL-1 cytokine levels (48,52). The presence of the IL-1RN*2 has been associated with enhanced IL-1β production in vitro (48), and increased inflammatory response (31,51). Indeed, IL-1RA plasma levels are coordinately regulated by both IL-1RA and IL-1beta genes (53) indicating a cross-regulation between the receptor antagonist and IL-1 cytokine expression (48,49,54). Tissue-specific effects are also possible (33). According to some studies the carriers of IL-1RN*2 have higher IL-1RA levels (53,55,56), and consequently the 2 allele effects could down-regulate IL-1 mediated pro-inflammatory signaling pathways by the IL-1RA blocking of IL-1R1 (37,57,58). A recent study (59) showed that individuals with genotype 2/2 VNTR IL-1RN exhibited higher IL-1RA expression compared to 1/2 and 1/1 genotypes. The same study indicated that IL-1RN*2 might be a risk factor for progressive vitiligo (59). On the basis of such evidence, in IL-1RN*2 carrier the increased IL-1RA expression could provoke a reduced anti-tumor immune capacity and could favor the onset of melanoma. On the other hand, a study (28) showed that blocking of IL-1R1 by treatment with IL-1R1 neutralizing antibody or IL-1 pathway-specific siRNAs led to growth arrest in IL-1-positive melanoma cells. Furthermore, blocking the IL-1 pathway increased autophagy in IL-1-positive melanoma cells indicating that the endogenous IL-1 system is functional in most human melanoma and interrupting its signaling inhibits the growth of IL-1-positive melanoma cells (28). It appears plausible that a low IL-1-related immune response (due to moderately elevated IL-1RA as in 2/L genotypes) increases the risk to develop melanoma, but, at the same time, does not increase or even could reduce the risk to develop an aggressive tumor. Such a hypothesis would fit with our present findings showing that 2/L genotype increases the risk to develop melanoma, but is not more frequent in metastatic than non-metastatic melanomas. Furthermore, such hypothesis would also fit with Broer et al (34) data showing a tendency of lower frequency of 2/L in aggressive melanomas than healthy controls. IL-1R1 receptor activation by IL-1α and/or IL-1β induces an array of factors including IL-1, IL-6 (CXCL6), IL-8 (CXCL8), interferon (IFN) α, β, and γ, defensins, matrix metalloproteinases (MMPs), C-reactive protein, etc (18,20,60). Thus, the IL-1RA inhibition of IL-1R1 affects several immune factors. It is worth to note that IL-1RA can compete with IL-1 cytokines also for the IL-1R2, which acts as a decoy receptor. Of note, anakinra (a recombinant form of IL-1RA used as an anti-inflammatory drug in certain diseases) or genetic inactivation of the IL-1β-IL-1R1 system can lead to less melanoma growth in mice (18,28). A recent study (61) showed that in MyD88-/- mice and in C57BL/6 mice treated with anakinra the relapse rates of mice subcutaneous B16 melanoma tumor growth significantly increase. This study suggested that IL-1, via its action on neutrophils, promotes the anti-cancer efficacy of ingenol mebutate (a drug approved for the topical treatment of actinic keratoses that could ultimately also find utility in treating skin cancers), with ingenol mebutate treatment causing both IL-1β induction and IL-1α release from keratinocytes (61). Future research should focus on complex gene interactions and biological pathways related to the IL-1 family of cytokines and receptors and melanoma. Improved comprehension of biomolecular immune pathways will support further progress in melanoma management (1–3,33,36).

Study limitations and strengths

A strong point of our study is the highly defined ethnic background of subjects. This variable is important in genetic studies. Specifically, evidence on ethical and geographical variability of genetic polymorphisms in IL-1 family genes is growing (23,33). Moreover, variability in racial distribution and genetic melanoma susceptibility among (and across) different countries suggests that melanoma studies should be performed in restricted and well-characterized ethnic groups (6,11). On the other hand, our results cannot be generalized to populations with different genetic backgrounds. A strength of this study is detailed clinical data of melanoma patients. Limitations of our study include a limited sample size in subgroups of patients and high CIs for some categorical variables. These limitations could have influenced the non-significant results showed in Table II. Thus, future large-scale studies are necessary to better assess the role of such variables. More personalized approach to cancer is a challenge of current research (62,63). Personalized boosting of anti-tumor immunity in advanced melanomas is a new promising trend in the treatment of malignant melanoma. Immunotherapy is successful for some patients without relapse or progression, but many patients undergoing therapy have progressive disease (9,64,65). Thus, a better understanding of immune factors' modulation contributing to the development of melanoma may increase the likelihood of future improvements in patient management and melanoma prevention by tailored immune modulation modality. IL-1 cytokines and receptors including IL-1RA act in a complex balance, which can both host protect and harm (19). Our data highlighted that in terms of IL-1RN gene alteration by VNTR in intron 2, IL-1RA homeostasis plays roles in cutaneous melanoma. IL-1RN 2/L (mainly constituted by 1/2 genotype) genotype was found associated to susceptibility to cutaneous melanoma, whereas 1/1 was protective. Thus, our findings support an IL-1 family of receptors contribution to the development of malignant melanoma, suggesting the value of genetic screening as an adjuvant of immune strategies for cancer prevention. Future studies should further explore IL-1RN polymorphisms for their inclusion in risk models for individualized prevention/susceptibility/prognosis in the practice of precision medicine applied in cutaneous melanoma. We first suggest that the heterozygous subjects having the short allele IL-1RN*2 are more prone to cutaneous malignant melanoma showing that (innate) immune mechanisms play a role in the susceptibility/pathogenesis of this cancer. Interrelationships of IL-1RN 86-bp VNTR with other polymorphisms including those of IL-1β gene (IL-1B) are of interest for future research (40,53). IL-1RN may be a candidate gene for melanoma pathogenesis or may possibly be a linked marker to other, as yet undefined, genes. However, it is tempting to speculate that determination of IL-1 family polymorphisms could be used in the future for a personalized preventive treatment of healthy subjects at high risk to develop melanoma and/or for prognostic evaluation. Notably, IL-1RA seems to have roles in PD-L1 regulation, which is a main target of immune therapy for advanced melanoma (25). Interestingly, in our study IL-1RN 2/L genotype appears to act as a risk factor for melanoma susceptibility independently by conventional risk factors for melanoma, with the possible exception of the elevated presence of nevi. Further investigations are necessary to extend our findings to also examine different ethnic groups (66) and to identify biological pathways related to IL-1RA, which influence skin diseases (67). It is likely that cancer treatment and management will be supplemented in the future by extensive systematic assessment of DNA pathways (1,35,36).
  63 in total

Review 1.  The interleukin-1 family: back to the future.

Authors:  Cecilia Garlanda; Charles A Dinarello; Alberto Mantovani
Journal:  Immunity       Date:  2013-12-12       Impact factor: 31.745

2.  Combining common genetic variants and non-genetic risk factors to predict risk of cutaneous melanoma.

Authors:  Fangyi Gu; Ting-Huei Chen; Ruth M Pfeiffer; Maria Concetta Fargnoli; Donato Calista; Paola Ghiorzo; Ketty Peris; Susana Puig; Chiara Menin; Arcangela De Nicolo; Monica Rodolfo; Cristina Pellegrini; Lorenza Pastorino; Evangelos Evangelou; Tongwu Zhang; Xing Hua; Curt T DellaValle; D Timothy Bishop; Stuart MacGregor; Mark I Iles; Matthew H Law; Anne Cust; Kevin M Brown; Alexander J Stratigos; Eduardo Nagore; Stephen Chanock; Jianxin Shi; Melanoma Meta-Analysis Consortium; MelaNostrum Consortium; Maria Teresa Landi
Journal:  Hum Mol Genet       Date:  2018-12-01       Impact factor: 6.150

3.  Cytokine gene polymorphisms in gastric cancer patients from two Italian areas at high and low cancer prevalence.

Authors:  F Perri; A Piepoli; C Bonvicini; A Gentile; M Quitadamo; M Di Candia; R Cotugno; F Cattaneo; M R Zagari; L Ricciardiello; M Gennarelli; F Bazzoli; G N Ranzani; A Andriulli
Journal:  Cytokine       Date:  2005-04-02       Impact factor: 3.861

Review 4.  Socioeconomic and lifestyle factors and melanoma: a systematic review.

Authors:  A J Jiang; P V Rambhatla; M J Eide
Journal:  Br J Dermatol       Date:  2015-03-04       Impact factor: 9.302

5.  IL-1 receptor antagonist (IL-1Ra) plasma levels are co-ordinately regulated by both IL-1Ra and IL-1beta genes.

Authors:  M Hurme; S Santtila
Journal:  Eur J Immunol       Date:  1998-08       Impact factor: 5.532

6.  A physical map of the region encompassing the human interleukin-1 alpha, interleukin-1 beta, and interleukin-1 receptor antagonist genes.

Authors:  M J Nicklin; A Weith; G W Duff
Journal:  Genomics       Date:  1994-01-15       Impact factor: 5.736

7.  Association of interleukin-1 gene polymorphism with risk of gastric and colorectal cancers in an Iranian population.

Authors:  Mohammad Hadi Abbasian; Bahare Abbasi; Nafiseh Ansarinejad; Ali Motevalizadeh Ardekani; Esmaeil Samizadeh; Katayoun Gohari Moghaddam; Mahmood Reza Hashemi
Journal:  Iran J Immunol       Date:  2018-12       Impact factor: 1.603

8.  IL-1 Contributes to the Anti-Cancer Efficacy of Ingenol Mebutate.

Authors:  Thuy T Le; Kresten Skak; Kate Schroder; Wayne A Schroder; Glen M Boyle; Carly J Pierce; Andreas Suhrbier
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

9.  IL1 receptor antagonist gene IL1-RN variable number of tandem repeats polymorphism and cancer risk: a literature review and meta-analysis.

Authors:  Ying Zhang; Changming Liu; Huiping Peng; Jianzhi Zhang; Quanlin Feng
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

10.  Sun exposure and melanoma prognostic factors.

Authors:  Sara Gandini; Maurizio Montella; Fabrizio Ayala; Lucia Benedetto; Carlo Riccardo Rossi; Antonella Vecchiato; Maria Teresa Corradin; Vincenzo DE Giorgi; Paola Queirolo; Guido Zannetti; Giuseppe Giudice; Giovanni Borroni; Rosachiara Forcignanò; Ketty Peris; Giulio Tosti; Alessandro Testori; Giusto Trevisan; Francesco Spagnolo; Paolo A Ascierto
Journal:  Oncol Lett       Date:  2016-03-01       Impact factor: 2.967

View more
  3 in total

1.  Genetic polymorphism of interleukin-1 receptor antagonist in Type 1 diabetic children.

Authors:  Neveen T Abed; Ismail A Ramadan; Shuzan A Mohammed; Eman M El-Shanawany
Journal:  Pediatr Res       Date:  2021-05-17       Impact factor: 3.953

Review 2.  The Interleukin-1 (IL-1) Superfamily Cytokines and Their Single Nucleotide Polymorphisms (SNPs).

Authors:  Payam Behzadi; Aga Syed Sameer; Saniya Nissar; Mujeeb Zafar Banday; Márió Gajdács; Herney Andrés García-Perdomo; Kulsum Akhtar; Marina Pinheiro; Peter Magnusson; Meysam Sarshar; Cecilia Ambrosi
Journal:  J Immunol Res       Date:  2022-03-26       Impact factor: 4.818

3.  The role of occlusion and micro-incontinence in the pathogenesis of penile lichen sclerosus: an observational study of pro-inflammatory cytokines' gene expression.

Authors:  M Czajkowski; P Wierzbicki; A Kotulak-Chrząszcz; K Czajkowska; M Bolcewicz; J Kłącz; K Kreft; A Lewandowska; B Nedoszytko; M Sokołowska-Wojdyło; Z Kmieć; L Kalinowski; R J Nowicki; M Matuszewski
Journal:  Int Urol Nephrol       Date:  2022-02-01       Impact factor: 2.370

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.