Abstract
Background:
Germline variants in MC1R may increase risk of childhood/adolescent melanoma, but a clear conclusion is challenging because of the limited number of studies and cases. We evaluated the association of MC1R variants and childhood/adolescent melanoma in a large study comparing the prevalence of MC1R variants of childhood/adolescent melanoma patients to that among adult melanoma cases and unaffected controls.
Methods:
Phenotypic and genetic data on 233 childhood/adolescent (≤20 years) and 932 adult melanoma patients, and 932 unaffected controls, were gathered through the M-SKIP Project, the Italian Melanoma Intergroup and European centers. We calculated odds ratios (OR) for childhood/adolescent melanoma associated with MC1R variants by multivariable logistic regression. Subgroup analysis was done for children aged ≤18 and ≤14 years.
Findings:
Children and adolescents had a higher odds of carrying MC1R r variants than adults (OR:1·54; 95%CI:1·02-2·33), also when analysis was restricted to cases ≤18 years (OR: 1·80; 95%CI:1·6-3·7). All the investigated variants except R160W showed a higher frequency in childhood/adolescent melanoma compared to adult melanoma, with significant results for V60L (OR:1·60; 95%CI:1·05-2·44) and D294H (OR:2·15; 95%CI:1·05-4·40). Compared to unaffected controls, childhood/adolescent melanoma patients had significantly higher frequencies of any MC1R variants.
Interpretation:
Our pooled-analysis of childhood/adolescent patients with MC1R genetic data revealed that MC1R r variants were more prevalent in childhood/adolescent compared to adult melanoma especially in children ≤18 years. Our findings support the role of MC1R in childhood/adolescent melanoma susceptibility with a potential clinical relevance in developing early melanoma detection and preventive strategies.
Funding:
SPD-Pilot/Project-Award-2015; AIRC-MFAG-11831.
Introduction
Cutaneous Melanoma (CM) mainly occurs in patients of adult age and is rare in the pediatric population, with only 2% of all CM cases diagnosed in patients younger than 20 years. 1–4 In the childhood/adolescent population, the majority of CM are diagnosed among adolescents and only 8% occur in infancy and childhood.5,6
Differences exist in clinical aspects, histopathological features and disease staging comparing childhood/adolescent CM to adult CM.2,7–8 CM in childhood is often amelanotic, shows broad histopathological variability and may present with histologic uncertainty and ambiguous atypical characteristics that do not allow a definite malignant or benign classification.4,9 Children with CM present at a more advanced stage of disease with thicker lesions and higher rates of lymph node metastasis than their adult counterparts, leading to a worse prognosis.4,9 However, published studies report discordant data on survival rates.5,10
It has long been debated whether adult and childhood/adolescent melanomas share a similar pathogenesis. Major risk factors for pediatric CM are giant congenital melanocytic nevi and hereditary conditions including xeroderma pigmentosum, immunodeficiency, and albinism.11 Other known risk factors common to pediatric and adult melanoma are family history of melanoma, dysplastic nevus syndrome, elevated number of acquired melanocytic nevi, red hair, sun-sensitive phenotype, and UV exposure.12–13
It is uncertain whether childhood/adolescent CM differs from adult CM with regard to genetic predisposition. Pediatric CM is mostly sporadic, while adolescent CM is sometimes observed in melanoma-prone families. In general, there is a higher proportion of germline mutation carriers among young cancer patients,14 but whether this tendency holds true for CM is unclear due to the rarity of childhood/adolescent CM. Based on the few available studies, childhood/adolescent patients have only rarely been found to carry germline mutations in the two high-penetrance melanoma genes, CDKN2A and CDK4 12,15–21 that are known to be significantly associated to melanoma only in a familial and not in a sporadic context.
The MC1R (melanocortin-1 receptor) gene is a key determinant of human pigmentation.22 MC1R is highly polymorphic in the general population and specific variants were defined as “R” (D84E, R142H, R151C, I155T, R160W, D294H) or ‘r’ (V60L, V92M, R163Q) alleles according to the strength of association with the red hair color (RHC) phenotype.23 Extensive in vitro and in vivo evidence showed that both R and r alleles produce hypomorphic proteins with compromised activity compared with native MC1R function.22 The R alleles are reported to have major impact on pigmentation and UV-sensitivity.22,23 In contrast, r variants confer normal or slightly impaired MC1R activity resulting in a low strength association with the fair skin phenotype.23
Natural variation at MC1R is an established risk factor for CM across multiple populations worldwide.24 Risk of CM is higher for carriers of MC1R variant than for wild-type individuals, with the strongest association among carriers of R alleles and multiple variants.24 MC1R variants confer a significant increased risk in darkly pigmented individuals, highlighting the impact of MC1R through non-pigmentary pathways.25,26 Moreover, MC1R genotype is associated with phenotypic characteristics of melanoma27 and melanocytic nevi28 and seems to influence the somatic mutational load in adult CM.29
Childhood/adolescent CM patients have an elevated prevalence of MC1R variants, but the limited number of available studies coupled to the small number of cases per study makes challenging to draw clear conclusions.18–20
To help elucidate the role of MC1R in childhood/adolescent CM and to better understand the genetic and clinical diversity of childhood/adolescent and adult CM with potential clinical impact in terms of early melanoma detection and preventive strategies, we assessed these tumors in a large multicenter pooled dataset established from the Melanocortin 1 receptor SKin cancer and Phenotypic characteristics (M-SKIP) Project, the Italian Melanoma Intergroup (IMI) and other European groups. The endpoints of our study were: (1) to compare the prevalence of MC1R variants between childhood/adolescent cases and unaffected controls with a case-control study design and (2) between childhood/adolescent and adult CM patients using a case-case study design.
Material and Methods
Study population
Our analysis included children and adolescents diagnosed with sporadic single-primary CM at age ≤20 years, adult cases with sporadic single-primary CM at age ≥35 years and unaffected adult controls. Since age is a continuous variable and an exact age cut-off between adolescents and adults would not be expected, we excluded melanoma cases diagnosed in the age range 21-34 years to avoid a possible overlap between categories and thus enable comparison between groups with distinct clinical and genetic characteristics.
Because of the known challenges in diagnosing pediatric melanoma30–32 and to decrease misdiagnosis, participating investigators were asked to provide the original histopathological reports and representative glass slides for central review. Only patients for whom the original histopathological report was available were eligible. In addition, we restricted the study to cases with complete MC1R genotyping. We excluded familial melanoma cases, cases with a history of cancer at any site other than non-melanoma skin cancer, atypical spitzoid neoplasms/MELanocytic Tumors of Uncertain Malignant Potential, ocular and mucosal melanomas.
Detailed information on recruitment is reported in the Appendix, pp 1-2. Ethics Committee approval was obtained at each institution in which new blood samples were drawn. For each childhood/adolescent CM case, four adult CM cases and four controls were randomly selected from the same parent study that gave rise to the childhood/adolescent case. When this was not possible, adult cases and controls were selected from a study that was conducted in the nearest geographical proximity to the parent study of the childhood/adolescent case (Appendix, pp 1-2 and Appendix, pp 5-6). A geographical representation of the recruitment area of childhood/adolescent cases, adult cases and controls is shown in Figure 1.
Figure 1. Flow chart of melanoma cases included in the analysis and their geographical area of recruitment.
A, adult melanoma patients; Ch/Ad, children/adolescents melanoma patients; CM, cutaneous melanoma; Co, unaffected controls; MC1R, melanocortin-1 receptor gene.
Overall, we retrospectively collected data on 367 childhood/adolescent cases, 8,582 adult CM cases, and 5,770 controls (Figure 1). For 59 childhood/adolescent patients, information on MC1R was not available either because of patients’ death (N=2) or refusal to participate in the study (N=57). Among the remaining 308 patients, 75 had no original histopathological report available, leaving 233 children/adolescent cases for inclusion in the statistical analysis. For the selected 932 adult cases, 474 arose from the same parent study as the childhood/adolescent case and 458 came from a geographically close study population. For the selected 932 controls, 354 arose from the same parent study as the childhood/adolescent cases and 578 came from a geographically close study population.
Molecular analysis
For 135 childhood/adolescent patients from M-SKIP and 48 from IMI/European centers, MC1R sequencing had already been performed in study-specific laboratories (Appendix, pp 5-6). For the remaining 50 childhood/adolescent patients from IMI/European centers who provided new blood or saliva samples, MC1R genotyping was centralized at the University of L’Aquila and performed as previously described.33
Statistical analysis
A complete description of the statistical analysis is presented in the Appendix, pp. 2-4. Briefly, the associations between risk factors and childhood/adolescent melanoma were analyzed by logistic regression in comparison with two reference groups, (1) adult cases and (2) unaffected controls, with adjustment for study/geographical location.
The frequency of any MC1R variants among children/adolescents was compared to that among adults and controls by logistic regression with adjustment for study/geographical location. These comparisons were repeated for any MC1R R variant, any r variant, a score calculated by summing across the MC1R alleles giving a value of 1 to “r” and 2 to “R” variants, as previously proposed,34 and for each of the nine most prevalent MC1R variants and of any rare MC1R variants (presence/absence). We then used multivariable unconditional logistic regression models to calculate the odds ratio (OR) for MC1R variants after adjusting for study/geographical location and other covariables (as available), including sex, melanoma body site, histopathological subtype, hair color, and skin type. Sensitivity analysis with multivariable conditional logistic regression models was also performed.
The primary analysis compared the entire sample of childhood/adolescent cases to controls and adult cases. In order to take into account the possible misdiagnosis in childhood/adolescent cases, we repeated the primary analysis including only the subgroup of childhood/adolescent patients with CM diagnosis confirmed after central slide review; and then we calculated a modified ORs, applying the method proposed by Green35 that incorporates adjustment based on the predictive value of a positive test.
Sensitivity analysis on the subgroup of childhood/adolescent and adult cases arising from the same parental study, and after the exclusion of patients without confirmed diagnosis were also conducted. Subgroup analyses were done according to age at diagnosis of childhood/adolescent cases.
Generally, p-values <0·05 were considered statistically significant. However, we also calculated False Discovery Rate (FDR) corrected p-values to take into account multiple comparisons.
Role of the funding source
No sponsor had role in study design, data collection, data analysis, data interpretation, or writing of the report.
Results
Table 1 report populations’ characteristics. Briefly, median age (interquartile range) was 18 years (15-19) in the children/adolescent case group, 55 years (45-67) in the adult case group and 50 years (43-59) in the control group. Among childhood/adolescent cases, 52 (22%) were aged ≤14 years, 96 (41%) between 15 and 18 and 85 (37%) >18. The total count of common melanocytic nevi was higher among childhood/adolescent patients [30 (range 15-64)] than among either adult patients [25 (10-45)] (P=0.0007) or controls [21 (5-30), P<0.0001]. A higher proportion (43%) of children/adolescents cases had atypical melanocytic nevi than did adult cases (32%) and controls (9%) (P=0.01 and P<0.0001, respectively). Five percent and 11% of melanomas occurred on the upper limbs and 34% and 29% on the lower limbs in children/adolescents and adults, respectively (P=0.04). A spitzoid melanomas was identified in 13 (7%) childhood/adolescent cases compared to 2 (0%) adult cases; 21 (11%) children/adolescents had other specified types of melanoma compared with 8 (1%) adult cases (P<0.0001). Children/adolescents less frequently (36%) had blue eyes compared to adults (50%; P=0.01) or controls (47%, P<0.0001), and they were less likely (15%) to have solar lentigines than adults (75%, P<0.0001) and controls (68%, P<0.0001).
Table 1.
Descriptive characteristics of study population
| Children/adolescent cases (N=233) | Adult cases (N=932) | p-value a | Adult controls (N=932) | p-value a | |
|---|---|---|---|---|---|
| Sex (N, %) | 0.03 | 0.0003 | |||
| Males | 95 (41) | 456 (49) | 500 (54) | ||
| Females | 138 (59) | 475 (51) | 426 (46) | ||
| Breslow thickness (mm; median, IQR) | 0.93 (0.50-2.10) | 1.00 (0.50-2.40) | 0.16 | - | - |
| Common melanocytic nevi (count; median, IQR) | 30 (15-64) | 25 (10-45) | 0.0007 | 21 (5-30) | <0.0001 |
| Any atypical melanocytic nevi (N, %) | 49 (43) | 165 (30) | 0.01 | 46 (9) | <0.0001 |
| Melanoma body site (N, %) | 0.037 | - | |||
| Head/neck | 27 (12) | 127 (16) | - | ||
| Trunk | 91 (41) | 313 (39) | - | ||
| Upper limbs | 11 (5) | 90 (11) | - | ||
| Lower limbs | 75 (34) | 236 (29) | - | ||
| NOCb | 18 (8) | 42 (5) | - | ||
| Histolopathogical subtype (N, %) | <0.0001 | - | |||
| LMM | 0 (0) | 50 (7) | - | ||
| NM | 33 (17) | 127 (18) | - | ||
| SSM | 124 (63) | 493 (69) | - | ||
| ALM | 7 (3) | 39 (5) | - | ||
| Spitzoid | 13 (7) | 2 (0) | - | ||
| Othersc | 21 (11) | 8 (1) | - | ||
| Hair color (N, %) | 0.73 | 0.0003 | |||
| Red | 14 (7) | 55 (6) | 24 (3) | ||
| Blonde | 60 (28) | 216 (24) | 129 (18) | ||
| Brown | 139 (65) | 609 (68) | 535 (76) | ||
| NOCb | 0 (0) | 15 (2) | 21 (3) | ||
| Eye color (N, %) | 0.01 | <0.0001 | |||
| Blue | 65 (36) | 420 (50) | 330 (47) | ||
| Brown | 77 (42) | 314 (37) | 364 (51) | ||
| Black | 2 (1) | 2 (0) | 5 (1) | ||
| Green, gray, hazel | 5 (3) | 0 (0) | 0 (0) | ||
| NOCb | 32 (18) | 109 (13) | 10 (1) | ||
| Skin type (N, %) | 0.67 | 0.015 | |||
| I | 16 (8) | 59 (7) | 26 (4) | ||
| II | 68 (33) | 320 (36) | 191 (28) | ||
| III | 94 (44) | 400 (45) | 378 (55) | ||
| IV | 32 (15) | 59 (13) | 87 (13) | ||
| Any solar lentigines (N, %) | 15 (15) | 321 (75) | <0.0001 | 203 (68) | <0.0001 |
ALM: Acral lentiginous melanoma. IQR: interquartile range; LMM: Lentigo maligna melanoma; NM: Nodular melanoma; SSM: Superficial spreading melanoma
Note: significant p-values are in bold
Logistic regression model, adjusted by matching stratum variable;
NOC, not otherwise classifiable. This group includes patients with doubtful or mixed information, thus, not classifiable.
Among children/adolescents: N=4 nevoid, N=3 epithelioid, N=1 desmoplastic, N=13 others not specified; among adults: N=5 epithelioid, N=1 nevoid, N=1 desmoplastic, N=1 others not specified
Table 2 shows frequencies of any MC1R variants, any R variants, any r variants, MC1R score and any of the nine most prevalent MC1R variants in 233 childhood/adolescent cases, 932 adult cases and 932 controls. In univariable analysis, no significant differences were observed in frequency of MC1R variants between childhood/adolescent and adult cases. However, childhood/adolescent cases had significantly higher frequency of any variants, R variants, r variants and MC1R score than unaffected controls, confirming the role of MC1R in melanoma susceptibility. Eight rare MC1R variants were found in childhood/adolescent patients: 86insA (N=2), V51A, T95M, V122M, R151H, A218T, F258L, K278E, (N=1 each). No association was found between childhood/adolescent melanoma and any MC1R rare variant (data not shown).
Table 2.
Association between MC1R variants and childhood/adolescent melanoma in the whole group of studied cases (N=233) and in the subgroup of cases with a confirmed melanoma diagnosis after centralized slide review (N=64). For each group of children/adolescents, study/geographical frequency matched adult cases and unaffected controls were used as comparison groups.
| All studied children/adolescent cases | Children/adolescent cases with centralized confirmed melanoma diagnosis | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N=233 children/adolescent cases (%) | N=932 adult cases (%) | p-valuea | N=932 adult controls (%) | p-valuea | N=64 children/adolescents cases(%) | N=256 adult cases(%) | p-valuea | N=256 adult controls (%) | p-valuea | |
| Any MC1R variants | 173 (75) | 662 (71) | 0.33 | 550 (59) | <0.0001 | 46 (72) | 193 (75) | 0.56 | 145 (57) | 0.03 |
| Any R variants | 86 (37) | 350 (38) | 0.86 | 238 (26) | 0.0006 | 24 (37) | 102 (40) | 0.73 | 58 (23) | 0.016 |
| Any r variants | 115 (49) | 420 (45) | 0.24 | 370 (40) | 0.008 | 29 (45) | 115 (45) | 0.95 | 102 (40) | 0.43 |
| Score | 0.85 | <0.0001 | 0.38 | 0.003 | ||||||
| 0 | 60 (26) | 270 (29) | 382 (41) | 18 (28) | 63 (25) | 111 (43) | ||||
| 1 | 71 (31) | 260 (28) | 261 (28) | 16 (25) | 70 (27) | 77 (30) | ||||
| 2 | 64 (27) | 227 (24) | 201 (22) | 20 (31) | 72 (28) | 47 (19) | ||||
| 3 | 28 (12) | 106 (11) | 57 (6) | 7 (11) | 24 (9) | 15 (6) | ||||
| ≥4 | 10 (4) | 69 (8) | 31 (3) | 3 (5) | 27 (11) | 6 (2) | ||||
| Any V60L variants | 77 (33) | 270 (29) | 0.22 | 251 (27) | 0.06 | 24 (37) | 82 (32) | 0.40 | 70 (27) | 0.11 |
| Any D84E variants | 3 (1) | 14 (2) | 0.81 | 7 (1) | 0.43 | 1 (2) | 3 (1) | 0.80 | 1 (0) | 0.32 |
| Any V92M variants | 30 (13) | 115 (12) | 0.82 | 115 (12) | 0.83 | 9 (14) | 25 (10) | 0.32 | 29 (11) | 0.55 |
| Any R142H variants | 7 (3) | 34 (4) | 0.63 | 22 (2) | 0.57 | 0 (0) | 12 (5) | 0.98 | 11 (4) | 0.98 |
| Any R151C variants | 30 (13) | 142 (15) | 0.36 | 91 (10) | 0.17 | 11 (17) | 45 (18) | 0.94 | 23 (9) | 0.06 |
| Any I155T variants | 4 (2) | 18 (2) | 0.83 | 15 (2) | 0.91 | 1 (2) | 5 (2) | 0.84 | 2 (1) | 0.57 |
| Any R160W variants | 21 (9) | 93 (10) | 0.66 | 63 (7) | 0.23 | 7 (11) | 29 (11) | 0.92 | 15 (6) | 0.16 |
| Any R163Q variants | 13 (6) | 59 (3) | 0.67 | 34 (4) | 0.18 | 0 (0) | 17 (7) | 0.97 | 7 (3) | 0.98 |
| Any D294H variants | 19 (8) | 54 (6) | 0.18 | 37 (4) | 0.009 | 4 (6) | 17 (7) | 0.91 | 8 (3) | 0.25 |
Note: significant p-values are in bold
Logistic regression model, adjusted by matching stratum variable;
MC1R, melanocortin-1 receptor.
R variants include D84E, R142H, R151C, I155T, R160W, D294H and other rare variants classified as R according to the algorithm proposed by Davies et al (2012).34
r variants include V60L, V92M, R163Q and other rare variants classified as r according to the algorithm proposed by Davies et al (2012).34
Among the 233 childhood/adolescent cases, representative histopathological slides of the tumor were available for 85 patients and were centrally reviewed for quality control by one dermatopathologist (D.M.). The group of 85 patients had similar clinico-pathological characteristics compared to the 148 for whom glass slides were not reviewed (Appendix p 7). The original diagnosis of melanoma was confirmed in 64/85 (75%) cases. The remaining slides from 21/85 (25%) cases were deemed as not being representative or difficult to interpret for technical reasons, or were reclassified as atypical melanocytic nevi, atypical junctional melanocytic proliferations, pagetoid melanocytosis overlying congenital nevi, or ambiguous atypical melanocytic proliferations with spitzoid features. In the latter cases, serial unstained slides or paraffin blocks were not available and so additional immunohistochemical and/or molecular analyses which would have clarified interpretation were precluded. Such doubtful cases were independently reviewed by a second dermatopathologist (F.F.); the conflicting discrepancy with the original diagnosis remained unresolved. The median Breslow thickness (interquartile range) was 1·00 mm (0·50-1·90) for the 64 cases with a confirmed diagnosis and 0·45 mm (0·10-0·75) for the 21 cases in which the original diagnosis was not confirmed (P=0·0005, Appendix p 8). No other clinico-pathological features differed between the two groups (Appendix p 8).
The frequencies of MC1R variants in the subgroup of 64 children/adolescents with a confirmed diagnosis after histopathological review, 254 adults, and 254 controls are shown in Table 2 and are similar to those reported for the primary analysis (Table 2).
The OR (95%CI) for the 233 children/adolescent CM cases and 932 adult CM cases (OR all patients), for the subgroup of 64 children/adolescent CM cases with a confirmed diagnosis after review and 256 adult CM cases (OR confirmed diagnosis) and after correction by the estimated outcome misclassification rate (corrected OR) are shown in Figures 2 and 3. We found that children/adolescent melanoma had a significantly higher odds of carrying any r variants compared to adult cases (OR: 1·54; 95%CI: 1·02-2·33, FDR-corrected P=0·17, Figure 2). Concerning specific MC1R variants, we found a positive association for all MC1R variants with childhood/adolescent melanoma, except for the R160W variant (Figure 3). A statistically significant association for V60L and D294H variants (OR: 1·60; 95%CI: 1·05-2·44, FDR-corrected P=0·17, and OR: 2·15; 95%CI: 1·05-4·40, FDR-corrected P=0·17) was found in the primary analysis and after correction for possible misdiagnosis. Similar results were obtained in sensitivity analysis with conditional logistic regression models (Appendix p 8) and by excluding the 21 children/adolescents without centrally confirmed diagnosis (Appendix p 9). Finally, when we repeated the primary analysis on the subgroup of childhood/adolescent and adult cases arising from the same parental study, we obtained even stronger associations for carriers of any MC1R variant (OR: 2·04 95% CI: 1·19-3·50), r variants (OR: 2·61 95% CI: 1·43-4·73), V60L (OR: 2·67 95% CI: (1·44-4·95) and D294H variants (OR: 3·12 95% CI: 1·08-9·03) (Appendix p 11).
Figure 2. Covariable-adjusted OR (95%CI) for the association between any MC1R variants, R and r variants and childhood/adolescent melanoma compared to adulthood melanoma.
All the OR were adjusted by sex, matching stratum variable, melanoma body site and histopathological subtype, hair color and skin type. For each OR, the comparison groups included childhood/adolescent patients frequency matched 4:1 with adult cases by study/geographical area. The reference category for OR were MC1R wild-type (WT) subjects. Number of children/adolescents and adults reported here are the total number of subjects included in each analysis, independently by MC1R status. Note that for the analysis on any R variant vs WT, subjects carrying only r variants were excluded, and vice versa for the analysis on any r variant vs WT.
aOR calculated on the subgroup of subjects with confirmed diagnosis of melanoma after centralized pathological review of glass slides. bOR calculated on the whole sample of N=233 childhood/adolescent cases. cOR corrected by probability of misdiagnosis combining information from OR(a) and OR(b) as previously suggested.35
MC1R, melanocortin-1 receptor; CI, Confidence Intervals; OR, Odds Ratio. R variants include the D84E, R142H, R151C, I155T, R160W, D294H and other rare variants classified as R according to the algorithm proposed by Davies et al (2012);34 r variants include the V60L, V92M, R163Q and other rare variants classified as r according to the algorithm proposed by Davies et al (2012).34
Figure 3. Covariable-adjusted OR (95%CI) for the association between the nine most prevalent MC1R variants and childhood/adolescent melanoma compared to adulthood melanoma.
All the OR were adjusted by sex, matching stratum variable, cancer body site and histological type, hair color and skin type. For each OR, the comparison groups included childhood/adolescent patients frequency matched 4:1 with adult cases by study/geographical area. The reference category for OR were MC1R wild-type (WT) subjects. Number of children/adolescents and adults reported here are the total number of subjects included in each analysis, independently by MC1R status. Note that for the analysis on each variant vs WT, subjects carrying only other MC1R variants were excluded.
aOR calculated on the subgroup of subjects with confirmed diagnosis of melanoma after centralized pathological review of glass slides. bOR calculated on the whole sample of N=233 childhood/adolescent cases. cOR corrected by probability of misdiagnosis combining information from OR(a) and OR(b) as previously suggested.35
MC1R, melanocortin-1 receptor; CI, Confidence Intervals; NC, not calculable; OR, Odds Ratio. R variants include the D84E, R142H, R151C, I155T, R160W, D294H and other rare variants classified as R according to the algorithm proposed by Davies et al (2012); r variants include the V60L, V92M, R163Q and other rare variants classified as r according to the algorithm proposed by Davies et al (2012).34
Table 3 lists OR (95%CI) calculated for childhood/adolescent cases ≤18 and ≤14 years of age. A statistically significant higher frequency of r variants was observed in cases ≤18 years of age compared to adults (OR: 1·80; 95%CI: 1·6-3·07, FDR-corrected P=0·61). The corresponding OR for cases ≤14 years was even higher, but did not reach statistical significance because of the small number of subjects.
Table 3.
Subgroup analysis by age at diagnosis
| Children/adolescent cases ≤18 years (N=148) | Children/adolescent cases ≤14 years (N=52) | |||
|---|---|---|---|---|
| N children-adolescent/ N adult cases | OR a (95% CI) | N children-adolescent/ N adult cases | OR a (95% CI) | |
| Any variants | 148/592 | 1.45 (0.89; 2.34) | 52/208 | 1.86 (0.69; 5.03) |
| Any R variants | 73/330 | 0.99 (0.52; 1.89) | 27/115 | 1.63 (0.42; 6.36) |
| Any r variants | 98/374 | 1.80 (1.06; 3.07) | 35/142 | 2.27 (0.76; 6.83) |
| Any V60L variants | 88/357 | 1.59 (0.91; 2.76) | 31/136 | 2.27 (0.76; 6.80) |
| Any D84E variants | 43/192 | 0.97 (0.13; 6.99) | 15/73 | Not calculated |
| Any V92M variants | 61/253 | 1.62 (0.79; 3.33) | 18/93 | 0.95 (0.11; 7.97) |
| Any R142H variants | 45/201 | 1.32 (0.34; 5.13) | 13/80 | Not calculated |
| Any R151C variants | 56/277 | 0.82 (0.38; 1.80) | 18/97 | 0.61 (0.10; 3.88) |
| Any I155T variants | 43/192 | 1.13 (0.17; 7.64) | 15/71 | Not calculated |
| Any R160W variants | 55/234 | 1.08 (0.45; 2.58) | 21/87 | 3.57 (0.62; 20.52) |
| Any R163Q variants | 51/219 | 1.61 (0.61; 4.22) | 16/84 | 0.68 (0.03; 14.81) |
| Any D294H variants | 52/272 | 1.47 (0.58; 3.70) | 14/86 | Not calculated |
MC1R, melanocortin-1 receptor; CI, Confidence Intervals; OR, Odds Ratio. R variants include the D84E, R142H, R151C, I155T, R160W, D294H and other rare variants classified as R according to the algorithm proposed by Davies et al (2012); r variants include the V60L, V92M, R163Q and other rare variants classified as r according to the algorithm proposed by Davies et al (2012).34
Significant p-values are in bold.
ORs adjusted by, sex, matching stratum variable, melanoma body site and histological subtype, and skin type. Hair color was not included because of more than 30% of missing data for these groups of patients. For each OR, the comparison group included 4:1 frequency matched adult cases by study/geographical area. The reference category for OR were MC1R wild-type (WT) subjects. Number of children and adults reported here are the total number of subjects included in each analysis, independently by MC1R status. Note that for the analysis on each variant vs WT, subjects carrying only other MC1R variants were excluded.
Appendix pp 12-13 show the ORs (95%CI) obtained for the case-control analysis comparing childhood/adolescent melanoma patients with controls. Regarding OR obtained from the primary analysis, we found a significantly higher risk of childhood/adolescent melanoma for carriers of any MC1R, R, r and the most common MC1R V60L, V92M, R151C, R163Q and D294H variants. Results remained statistically significant after correction for multiple comparison except for the V92M variant (FDR-corrected P=0·07).
Discussion
Our pooled-analysis showed that MC1R variants are a genetic risk factor for childhood/adolescent CM and that the frequency of r variants is elevated in this young case group compared to adult CM cases. The impact of r alleles was confirmed in analyses limited to individuals ≤18 years and was even stronger for children ≤14 years, although this difference was not statistically significant. The MC1R V60L and D294H variants showed the most robust association with melanoma in childhood and adolescence, even after correction for possible misdiagnosis.
Childhood/adolescent melanoma has been reported to occur most commonly in whites and in females.2,10,13 In line with two previous studies, we found that childhood/adolescent melanoma patients are characterized by a fairer phenotype compared to healthy controls,12,13 including traits such as red hair and skin type. In contrast, when compared to location-matched adult cases, childhood/adolescent patients presented with more darkly pigmented characteristics such as brown eyes, skin type III-IV and a lower prevalence of freckles. Consistent with the majority of published studies, our childhood/adolescent patients showed a high number of melanocytic nevi, both common and atypical, and developed melanomas mainly on the lower extremities and the trunk.2,11,36 Childhood/adolescent melanoma was more commonly diagnosed as nodular melanoma compared to the adult counterpart. Spitzoid melanomas were more frequently identified in childhood/adolescent patients, while LMM were only seen in adulthood..’
The impact of MC1R alleles in childhood/adolescent melanoma was investigated in small series of patients.18–20 MC1R variants were identified in 12/21 (57%) patients, with a higher frequency of r compared to R allele by Daniotti et al. (2009).19 More recently, two case series reported MC1R variants in 10/23 patients (43%)18 and in 4/6 patients (67%).20 In our pooled-analysis, MC1R variants were detected in 75% of childhood/adolescent patients. Overall, multivariable analysis suggested that childhood/adolescent cases had greater odds to carry any MC1R variant and a significantly greater odds to carry r variants compared to adult cases. Interestingly, the odds of carrying r alleles increased in subgroup analysis limited to adolescents ≤18 years old, and was stronger still (although not statistically significant) among cases ≤14 years old, suggesting a higher prevalence of the MC1R variants in childhood melanoma.
Our findings demonstrate a stronger role of MC1R r variants in childhood/adolescent than in adult melanoma, suggesting the involvement of biological pathways other than pigmentation and UV-sensitivity such as antioxidant defenses, DNA repair and cell proliferation .22,24,37 indeed, MC1R signaling is crucial for melanocyte key processes 38, as suggested by the findings of Baron al (2014), demonstrating that MC1R variants combined with HERC2/ OCA2 alleles determine the number of nevi >2 mm in sunburned kids.39
Herein the MC1R variants V60L and D294H showed significantly higher prevalence in childhood/adolescent compared to adult melanoma. The role of V60L in adult melanoma is controversial and the magnitude of risk varies across populations.40 A positive association of V60L with melanoma has been reported in the Mediterranean area, where this variant is the most frequent ,40 The D294H variant is common in individuals with the RHC phenotype. The association of D294H with melanoma risk demonstrates heterogeneity between Northern versus Southern European populations, where individuals who are more darkly pigmented are at higher risk of melanoma associated with D294H than Northern populations.41
To the best of our knowledge, our series of childhood/adolescent melanoma patients is the largest worldwide multicenter cohort published so far with available MC1R genetic data. The large number of childhood/adolescent and comparable adult melanoma patients provide powerful estimates of the association between MC1R variants and childhood/adolescent melanoma within different populations. A further strength of our study was centralized data quality control and statistical analysis that provided consistency across the numerous parent studies in defining and adjusting for important covariates. Histopathological centralized review of one third of the subjects allowed us to calculate association estimates in a subset of children/adolescents with a histologically confirmed diagnosis and was helpful to calculate corrected risk estimates taking into account the issue of misdiagnosis.
Childhood/adolescent melanoma patients represent a heterogeneous group, including neonates, children and adolescents, with a variety of distinct presentations.9 Childhood melanoma may indeed differ from adolescent melanoma and both may differ from adult melanoma.4 To further address heterogeneity between melanomas developed at different ages, we performed a stratified analysis for patients ≤14 and ≤18 years. Our non-significant findings among cases ≤14 years may have resulted from decreased power related to the small sample size (N=59) of this group, while a separate multivariable analysis limited to children ≤10 years of age was not possible due to the limited number of patients (N=23). In our childhood/adolescent sample we had more darkly pigmented cases from Southern European compared to Northern European origin, which may have resulted in relatively high frequencies of r variants, more common in Southern than in Northern Europe.42 However, because childhood/adolescent cases were compared with adult cases and controls from the same geographical areas, we do not believe this affected our results. Indeed, sensitivity analysis conducted in the subgroup of childhood/adolescent cases with adult cases sampled from the same parent study provided similar results. A centralized review of all melanomas would be desirable, but unfortunately it was not feasible due to the retrospective nature of the study. In order to limit disease misclassification, we excluded from the analysis patients whose histopathological reports were not available. We also provided risk estimates corrected for our observed misclassification rate among patients with histopathological centralized review, a group that was representative of the entire cohort of childhood/adolescent patients. Nevertheless, it should be noted that this correction could not be able to provide an exact estimate of the associations as in a sample with only centrally confirmed diagnosed cases, and a certain imprecision of estimates could therefore not be ruled out. Because our cohort did not include familial melanoma patients and the major susceptibility genes are rarely mutated in childhood/adolescent cases,12,15,17,20 we did not analyze CDKN2A and CDK4 in our patients. It is possible that other major melanoma predisposition genes may influence the risk of disease in children/adolescents, but lack of genetic data on these genes, such as the BAP1 gene prevented the analysis of possible gene–gene interactions. Finally, although we performed a relatively high number of statistical tests, we allowed unadjusted P-values to guide the interpretation of our results. Given the exploratory rather than confirmatory nature of this study, we believe that our approach of describing the tests of significance we performed, as advised by Perneger (1998),43 is appropriate. However, to directly address the issue of multiple testing, we also present FDR-corrected P-values.
In conclusion, our pooled analysis showed that natural variation at MC1R is a genetic risk factor for childhood/adolescent CM as well as for adult CM. A major role of MC1R variants, mainly r alleles, was suggested in childhood/adolescent compared to adult melanoma, possibly through a pigmentation-independent pathway. In addition, we observed a stronger effect of the r alleles when the analysis was restricted to melanoma patients aged less than 18 years.
Supplementary Material
Acknowledgements
Society for Pediatric Dermatology (SPD Pilot Project Award 2015); Italian Association for Research on Cancer (AIRC MFAG 11831). For the Melanoma Susceptibility Study (PAK): National Cancer Institute (CA75434, CA80700, CA092428). For Genoa study (PG): AIRC IG 15460. JL holds a tier 1 Canada Research Chair. The study in the Melanoma Unit, Hospital Clinic, Barcelona was supported in part by grants from Fondo de Investigaciones Sanitarias P.I. 12/00840, PI15/00956 and PI15/00716 Spain; by the CIBER de Enfermedades Raras of the Instituto de Salud Carlos III, Spain, co-funded by “Fondo Europeo de Desarrollo Regional (FEDER). Unión Europea. Una manera de hacer Europa”; by the AGAUR 2014_SGR_603 and 2017_SGR_1134 of the Catalan Government, Spain; by a grant from “Fundacio La Marato de TV3, 201331-30”, Catalonia, Spain; by the European Commission under the 6th Framework Programme, Contract n°: LSHC-CT-2006-018702 (GenoMEL); by CERCA Programme / Generalitat de Catalunya and by a Research Grant from “Fundacion Cientifica de la Asociacion Espanola Contra el Cancer” GCB15152978SOEN, Spain. Part of the work was developed at the building Centro Esther Koplowitz, Barcelona. For French study (MFA, FD, BBP): PHRC 2007 AOM 07-195NI 07004. For the French study, we thank the medical doctors who included some of the patients of this study. We wish to acknowledge the work of Gustave Roussy Biobank (BB-0033-00074) in providing DNA resources.
Footnotes
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Conflict of interest statement
Authors have no conflicts of interest
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References
- 1.Nikolaou V, Stratigos AJ. Emerging trends in the epidemiology of melanoma. Br J Dermatol 2014; 170: 11–9. [DOI] [PubMed] [Google Scholar]
- 2.Strouse JJ, Fears TR, Tucker MA, Wayne AS. Pediatric melanoma: risk factor and survival analysis of the surveillance, epidemiology and end results database. J Clin Oncol 2005; 23: 4735–41. [DOI] [PubMed] [Google Scholar]
- 3.Austin MT, Xing Y, Hayes-Jordan AA, Lally KP, Cormier JN. Melanoma incidence rises for children and adolescents: an epidemiologic review of pediatric melanoma in the United States. J Pediatr Surg 2013; 48: 2207–13. [DOI] [PubMed] [Google Scholar]
- 4.LaChance A, Shahriari M, Kerr PE, Grant-Kels JM. Melanoma: Kids are not just little people. Clin Dermatol 2016; 34: 742–8. [DOI] [PubMed] [Google Scholar]
- 5.Lorimer PD, White RL, Walsh K, et al. Pediatric and Adolescent Melanoma: A National Cancer Data Base Update. Ann Surg Oncol 2016; 23: 4058–66. [DOI] [PubMed] [Google Scholar]
- 6.Steliarova-Foucher E, Colombet M, Ries LAG, et al. International incidence of childhood cancer, 2001–10: a population-based registry study. Lancet Oncol 2017; 18: 719–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Livestro DP, Kaine EM, Michaelson JS, et al. Melanoma in the young: differences and similarities with adult melanoma: a case-matched controlled analysis. Cancer 2007; 110: 614–24. [DOI] [PubMed] [Google Scholar]
- 8.Berg P, Lindelöf B. Differences in malignant melanoma between children and adolescents. A 35-year epidemiological study. Arch Dermatol. 1997; 133: 295–7. [PubMed] [Google Scholar]
- 9.Tracy ET, Aldrink JH. Pediatric melanoma. Semin Pediatr Surg 2016; 25: 290–8. [DOI] [PubMed] [Google Scholar]
- 10.Averbook BJ, Lee SJ, Delman KA, et al. Pediatric melanoma: analysis of an international registry. Cancer 2013. 119: 4012–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Pappo AS. Melanoma in children and adolescents. Eur J Cancer 2003; 39: 2651–61. [DOI] [PubMed] [Google Scholar]
- 12.Youl P, Aitken J, Hayward N, et al. Melanoma in adolescents: a case-control study of risk factors in Queensland, Australia. Int J Cancer 2002; 98: 92–8. [DOI] [PubMed] [Google Scholar]
- 13.Whiteman DC, Valery P, McWhirter W, Green AC. Risk factors for childhood melanoma in Queensland, Australia. Int J Cancer 1997; 70: 26–31. [DOI] [PubMed] [Google Scholar]
- 14.Ripperger T, Bielack SS, Borkhardt A, et al. Childhood cancer predisposition syndromes-A concise review and recommendations by the Cancer Predisposition Working Group of the Society for Pediatric Oncology and Hematology. Am J Med Genet A 2017; 173: 1017–37. [DOI] [PubMed] [Google Scholar]
- 15.Berg P, Wennberg AM, Tuominen R, et al. Germline CDKN2A mutations are rare in child and adolescent cutaneous melanoma. Melanoma Res. 2004; 14: 251–5. [DOI] [PubMed] [Google Scholar]
- 16.Whiteman DC, Milligan A, Welch J, Green AC, Hayward NK. Germline CDKN2A mutations in childhood melanoma. J Natl Cancer Inst 1997; 89: 1460. [DOI] [PubMed] [Google Scholar]
- 17.Hocevar M, Avbelj M, Perić B, Zgajnar J, Besić N, Battelino T. High prevalence of germline CDKN2A mutations in Slovenian cutaneous malignant melanoma families. Croat Med J 2006; 47: 851–4. [PMC free article] [PubMed] [Google Scholar]
- 18.Lu C, Zhang J, Nagahawatte P, et al. The genomic landscape of childhood and adolescent melanoma. J Invest Dermatol 2015; 135: 816–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Daniotti M, Ferrari A, Frigerio S. Cutaneous melanoma in childhood and adolescence shows frequent loss of INK4A and gain of KIT. J Invest Dermatol 2009; 129:1759–68. [DOI] [PubMed] [Google Scholar]
- 20.Rabbie R, Rashid M, Arance AM, et al. Genomic analysis and clinical management of adolescent cutaneous melanoma. Pigment Cell Melanoma Res 2017; 30: 307–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wilmott JS, Johansson PA, Newell F, et al. Whole genome sequencing of melanomas in adolescent and young adults reveals distinct mutation landscapes and the potential role of germline variants in disease susceptibility. Int J Cancer 2018. doi: 10.1002/ijc.31791. [DOI] [PubMed] [Google Scholar]
- 22.Beaumont KA, Shekar SN, Newton RA, et al. Receptor function, dominant negative activity and phenotype correlations for MC1R variant alleles. Hum Mol Genet 2007. 16: 2249–60. [DOI] [PubMed] [Google Scholar]
- 23.Dessinioti C, Antoniou C, Katsambas A, Stratigos AJ. Melanocortin 1 receptor variants: functional role and pigmentary associations. Photochem Photobiol 2011; 87: 978–87. [DOI] [PubMed] [Google Scholar]
- 24.Kanetsky PA, Rebbeck TR, Hummer AJ, et al. Population-based study of natural variation in the melanocortin-1 receptor gene and melanoma. Cancer Res 2006; 66: 9330–7. [DOI] [PubMed] [Google Scholar]
- 25.Pasquali E, García-Borrón JC, Fargnoli MC, et al. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project. Int J Cancer 2015; 136: 618–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tagliabue E, Gandini S, Bellocco R, et al. MC1R variants as melanoma risk factor independent of at-risk phenotypic characteristics: a pooled-analysis from the M-SKIP project. Cancer Manag Res 2018; 10: 1143–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fargnoli MC, Sera F, Suppa M, et al. Dermoscopic features of cutaneous melanoma are associated with clinical characteristics of patients and tumours and with MC1R genotype. J Eur Acad Dermatol Venereol 2014; 28: 1768–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Vallone MG, Tell-Marti G, Potrony M, et al. Melanocortin 1 receptor (MC1R) polymorphisms’ influence on size and dermoscopic features of nevi. Pigment Cell Melanoma Res 2018; 31: 39–50. [DOI] [PubMed] [Google Scholar]
- 29.Robles-Espinoza CD, Roberts ND, Chen S, et al. Germline MC1R status influences somatic mutation burden in melanoma. Nat Commun 2016; 7: 12064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Massi D, Tomasini C, Senetta R, et al. Atypical Spitz tumors in patients younger than 18 years. J Am Acad Dermatol 2015; 72: 37–46. [DOI] [PubMed] [Google Scholar]
- 31.Elmore JG, Barnhill RL, Elder DE, et al. Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study. BMJ 2017; 357: j2813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Busam KJ, Murali R, Pulitzer M, et al. Atypical spitzoid melanocytic tumors with positive sentinel lymph nodes in children and teenagers, and comparison with histologically unambiguous and lethal melanomas. Am J Surg Pathol 2009; 33:1386–95. [DOI] [PubMed] [Google Scholar]
- 33.Pellegrini C, Di Nardo L, Cipolloni G, et al. Heterogeneity of BRAF, NRAS, and TERT Promoter Mutational Status in Multiple Melanomas and Association with MC1R Genotype: Findings from Molecular and Immunohistochemical Analysis. J Mol Diagn 2018; 20: 110–22. [DOI] [PubMed] [Google Scholar]
- 34.Davies JR, Randerson-Moor J, Kukalizch K, et al. Inherited variants in the MC1R gene and survival from cutaneous melanoma: a BioGenoMEL study. Pigment Cell Melanoma Res 2012; 25: 384–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Green MS. Use of predictive value to adjust relative risk estimates biased by misclassification of outcome status. Am J Epidemiol 1983; 117: 98–105. [DOI] [PubMed] [Google Scholar]
- 36.Berk DR, LaBuz E, Dadras SS, et al. Melanoma and melanocytic tumors. of uncertain malignant potential in children, adolescents and young adults—the Stanford experience 1995–2008. Pediatr Dermatol 2010; 27: 244–54 [DOI] [PubMed] [Google Scholar]
- 37.Sanchez PC, Noda AY, Franco DD, Lourenço SV, Sangueza M, Neto CF. Melanoma in children, adolescents, and young adults: a clinical pathological study in a Brazilian population. Am J Dermatopathol 2014; 36: 620–8. [DOI] [PubMed] [Google Scholar]
- 38.D’Mello SA, Finlay GJ, Baguley BC, Askarian-Amiri ME. Signaling Pathways in Melanogenesis. Int J Mol Sci. 2016; 17:pii: E1144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Barón AE, Asdigian NL, Gonzalez V, et al. Interactions between ultraviolet light and MC1R and OCA2 variants are determinants of childhood nevus and freckle phenotypes. Cancer Epidemiol Biomarkers Prev. 2014; 23:2829–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Mills O, Messina JL. Pediatric melanoma: a review. Cancer Control 2009; 16: 225–33. [DOI] [PubMed] [Google Scholar]
- 41.Gerstenblith MR, Goldstein AM, Fargnoli MC, Peris K, Landi MT. Comprehensive evaluation of allele frequency differences of MC1R variants across populations. Hum Mutat. 2007; 28: 495–505. [DOI] [PubMed] [Google Scholar]
- 42.Guida S, Bartolomeo N, Zanna PT, et al. Sporadic melanoma in South-Eastern Italy: the impact of melanocortin 1 receptor (MC1R) polymorphism analysis in low-risk people and report of three novel variants. Arch Dermatol Res. 2015; 307:495–503. [DOI] [PubMed] [Google Scholar]
- 43.Perneger TV. Adjusting for multiple testing in studies is less important than other concerns. BMJ. 1999; 318: 1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
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