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. Author manuscript; available in PMC: 2010 Mar 9.
Published in final edited form as: J Invest Dermatol. 2008 Mar 27;128(10):2485–2490. doi: 10.1038/jid.2008.67

MC1R Variants Increase Risk of Melanomas Harboring BRAF Mutations

Maria Concetia Fargnoli 1, Kris Pike 2, Ruth M Pfeiffer 3, Shirley Tsang 2, Ester Rozenblum 2, David J Munroe 2, Yelena Golubeva 4, Donato Calista 5, Stefania Seidenari 6, Daniela Massi 7, Paolo Carli 8,, Juergen Bauer 9, David E Elder 10, Boris C Bastian 9, Ketty Peris 1, Maria T Landi 3
PMCID: PMC2835495  NIHMSID: NIHMS174743  PMID: 18368129

Abstract

Melanocortin-1 receptor (MC1R) variants have been associated with BRAF (v-raf murine sarcoma viral oncogene homolog B1) mutations in non-CSD (chronic solar-damaged) melanomas in an Italian and an American population. We studied an independent Italian population of 330 subjects (165 melanoma patients and 165 controls) to verify and estimate the magnitude of this association and to explore possible effect modifiers. We sequenced MC1R in all subjects and exon 15 of BRAF in 92/165 melanoma patients. Patients with MC1R variants had a high risk of carrying BRAF mutations in melanomas (odds ratio (OR) = 7.0, 95% confidence interval (CI) = 2.1–23.8) that increased with the number of MC1R variants and variants associated with red hair color. Combining these subjects with the originally reported Italian population (513 subjects overall), MC1R variant carriers had a 5- to 15-fold increased risk of BRAF-mutant melanomas based on carrying one or two variants (P<0.0001, test for trend), and regardless of signs of chronic solar damage. In contrast, no association with BRAF-negative melanomas was found (OR = 1.0, 95% CI = 0.6–1.6). No characteristics of subjects or melanomas, including age, nevus count, pigmentation, and melanoma thickness or location on chronically or intermittently sun-exposed body sites, substantially modified this association, although results could be affected by the small numbers in some categories. This study confirms that the known MC1R–melanoma risk association is confined to subjects whose melanomas harbor BRAF mutations.

INTRODUCTION

The melanocortin-1 receptor (MC1R) gene (MIM 155555) is a key determinant of human pigmentation, and is highly polymorphic in Caucasians with specific variants linked to the red hair color phenotype (Rees, 2004; Gerstenblith et al., 2007). As shown in many studies worldwide, MC1R is also a low-penetrance melanoma susceptibility gene (Valverde et al., 1996; Palmer et al., 2000; Kennedy et al., 2001; Dwyer et al., 2004; Matichard et al., 2004; Landi et al., 2005; Kanetsky et al., 2006; Stratigos et al., 2006; Fargnoli et al., 2006a; Fernandez et al., 2007).

The BRAF oncogene (MIM 164757) encodes a serine/threonine kinase that acts in the Ras–RAF–MAPK (mitogen-activated protein kinase) pathway, and is mutated in over 60% of cutaneous melanomas, mostly in codon 600 of exon 15 (Davies et al., 2002). A higher frequency of BRAF mutations was found in melanomas occurring on skin with absent or minor histopathological signs of chronic solar damage (CSD) (“non-CSD melanomas”) as compared to “CSD melanomas” (Maldonado et al., 2003).

Variants of MC1R have been recently reported to be associated with BRAF mutation status in non-CSD melanomas in an Italian and an American population (Landi et al., 2006). A few hypotheses were suggested to explain the underlying mechanism responsible for this association, but no analysis could be performed because of the small sample size and/or lack of data on phenotypic characteristics of the American study subjects.

We studied an independent Italian population from central Italy to (i) verify the association of MC1R variants and BRAF-mutant melanomas; (ii) explore possible effect modifiers of the association combining data of this population with data from the originally reported Italian population in Landi et al. (2006); and (iii) estimate the magnitude of the MC1R–BRAF association in comparison with the overall risk of melanoma associated with carrying MC1R variants, taking advantage of the MC1R data on control subjects from both Italian populations.

RESULTS AND DISCUSSION

We defined our study population as “population 1,” and the original Italian population in Landi et al. (2006) as “population 2,” Identified MC1R variants in both populations are listed in Table S1.

In population 1, melanoma patients with at least one germline MC1R variant had a sevenfold (95% CI = 2.1–23.8) increased risk of developing melanomas with BRAF mutations as compared with the individuals with two wild-type alleles (P = 0.002) (Table 1). Categorization in three finer groups showed that odds of BRAF-mutant melanomas increased progressively with the number of MC1R variants (P-trend < 0.01) (Table 1). Additional inclusion of D84E among the “R” variants (Duffy et al., 2004) did not significantly modify the association (data not shown). For comparison, results from the Italian population in Landi et al. (2006), not stratified by CSD (defined as population 2), are reported in Table 1. Overall, the MC1R–BRAF association was similar in both Italian populations. Interestingly, in population 1, the association was stronger for multiple MC1R variants than for other MC1R classifications based on variant type (“R” or “r”), whereas in population 2, “R” variants played a major role (Table 1), possibly reflecting small numbers in some categories and different frequency of variants (Table S1).

Table 1.

Association between germline variants of MC1R and somatic BRAF mutations in melanoma patients from two Italian populations

MC1R
genotype2
BRAF
wt
Population 1 P-value BRAF
wt
Population 21 P-value BRAF
wt
Combined P-value
BRAF
mutant
OR
(95% CI)3
BRAF
mutant
OR
(95% CI)3
BRAF
mutant
OR
(95% CI)3
wt/wt 20 4 Reference 9 3 Reference 29 7 Reference
Any variant 32 36 7.0 (2.1–23.8) 0.002 22 51 8.4 (1.9–36.9) 0.005 54 87 7.3 (2.9–18.5) <0.0001
wt/wt 20 4 Reference 9 3 Reference 29 7 Reference
r/wt or R/wt 24 21 5.6 (1.6–20.2) 0.008 17 33 7.4 (1.6–33.4) 0.01 41 54 6.0 (2.3–15.9) 0.0003
r/r or R/r or R/R 8 15 10.3 (2.5–42.1) 0.001 5 18 11.3 (2.1–62.1) 0.005 13 33 10.5 (3.6–31.0) <0.0001
Total 52 40 P-trend 0.001 31 54 P-trend 0.008 83 94 P-trend <0.0001
wt/wt 20 4 Reference 9 3 Reference 29 7 Reference
r/wt 14 14 6.5 (1.7–25.3) 0.007 13 21 6.0 (1.3.28.2) 0.02 27 35 5.8 (2.1–16.1) 0.0007
r/r or R/r or R/wt
or R/R
18 22 7.4 (2.0–26.9) 0.002 9 30 11.9 (2.4–57.6) 0.002 27 52 8.6 (3.2–23.2) <0.0001
Total 52 40 P-trend 0.004 31 54 P-trend 0.003 83 94 P-trend <0.0001
wt/wt 20 4 Reference 9 3 Reference 29 7 Reference
r/wt or r/r 17 19 6.9 (1.9–25.7) 0.004 15 26 6.3 (1.4–29.0) 0.02 32 45 6.3 (2.3–16.8) 0.0003
R/wt or R/r or R/R 15 17 7.1 (1.9–26.9) 0.004 7 25 13.0 (2.5–67.0) 0.002 22 42 8.7 (3.1–24.1) <0.0001
Total 52 40 P-trend 0.006 31 54 P-trend 0.003 83 94 P-trend <0.0001

BRAF, v-raf murine sarcoma viral oncogene homolog B1; CSD, chronic solar-damaged; CI, confidence interval; MCIR, melanocortin-1 receptor; OR, odds ratio; wt, wild type.

1

Data from Landi et al. (2006) combining cases with positive and negative signs of chronic solar damage in skin adjacent to the melanomas (non-CSD melanomas+CSD-melanomas).

2

MC1R variants were grouped as “R” (R151C, R160W, and D294H) or “r” variants (any non-R variant excluding synonymous changes) (Landi et al., 2005, 2006).

3

Logistic regression models adjusted by median age (and by age and population in combined analyses).

Characteristics of patients and melanomas did not significantly differ between the two Italian populations (Table S2), with the exception of nevus count that followed different assessment and scoring criteria (population 1, ≥2mm nevi counted on the entire body and population 2, nevi of any size counted on the back only). BRAF mutations were present in 43.5% of melanomas in population 1 and 63.5% in population 2 (P = 0.01) and were not affected by anatomical location of the primary melanoma. In population 1, mutations were more frequent in thicker melanomas, whereas they were evenly distributed among in situ melanomas (Table S3).

Given the similarities between the two Italian populations, we combined them to increase the sample size and related statistical power to investigate possible effect modifiers of this association. In the 177 overall cases with BRAF data, we confirmed the MC1R–BRAF association (OR = 7.3, 95% CI = 2.9–18.5), with increasing risk in subjects with multiple MC1R variants (P-trend < 0.0001) (Table 1). Notably, the MC1R–BRAF association was not significantly affected by age, tanning ability, melanoma thickness, anatomical location of the primary tumor, or nevus count (Table 2), although differences in the estimates by tanning ability and melanoma location were observed, and significance could have been affected by the small number of subjects. We could not perform a formal statistical analysis of the MC1R–BRAF association in models stratified by hair or eye color (dark/light), as some categories in these analyses included no subjects. However, the distribution of subjects was similar within groups, suggesting no substantial differences in the MC1R–BRAF association by these pigmentation characteristics.

Table 2.

Association between MC1R variants and BRAF mutations stratified by age, tanning ability, melanoma characteristics, and nevus count in the melanoma patients of the Italian populations

Variable Values1 MC1R
genotype
Population 1 N=92 Population 2 N=85 Combined N=177 P-
value3
BRAF
wt
BRAF
mutant
OR2
(95% CI)
BRAF
wt
BRAF
mutant
OR2 (95% CI) BRAF
wt
BRAF
mutant
OR2
(95% CI)
Age (below/
above median)
Below wt/wt 9 2 Reference 5 2 Reference 13 4 Reference
Any variant 16 19 6.2 (1.1–34.2) 8 30 9.4 (1.5–57.6) 22 49 7.2 (2.1–24.7) 0.88
Above wt/wt 11 2 Reference 4 1 Reference 16 3 Reference
Any variant 16 17 9.7 (1.5–64.6) 14 21 6.0 (0.6–59.4) 32 38 6.3 (1.7–23.7)
Tanning ability Low wt/wt 14 3 Reference 8 1 Reference 22 4 Reference
Any variant 18 21 11.5 (2.1–62.0) 14 32 18.1 (2.0–162.8) 32 53 13.8 (3.6–52.1) 0.23
High wt/wt 6 1 Reference 1 2 Reference 7 3 Reference
Any variant 14 15 6.1 (0.6–58.0) 8 16 2.8 (0.2–46.8) 22 31 3.4 (0.7–16.3)
Sun exposure
at tumor site4
Chronic wt/wt 8 1 Reference 2 0 Reference 10 1 Reference
Any variant 9 17 13.9 (1.5–133.3) 8 13 NA 17 30 17.9 (2.0–157.5) 0.23
Intermittent wt/wt 12 3 Reference 15 3 Reference 27 6 Reference
Any variant 22 19 3.4 (0.8–14.0) 14 35 4.4 (0.9–22.1) 36 54 4.4 (1.6–12.2)
Melanoma
thickness5
(below/above
median)
Below wt/wt 10 2 Reference 6 2 Reference 16 4 Reference
Any variant 14 8 4.8 (0.7–35.2) 6 21 11.4 (1.5–88.2) 20 29 5.6 (1.6–19.4) 0.43
Above wt/wt 3 2 Reference 1 1 Reference 4 3 Reference
Any variant 10 20 5.4 (0.4–66.9) 10 26 3.3 (0.2–64.6) 20 46 3.4 (0.7–17.3)
Nevus count6
(below/above
median)
Below wt/wt 8 0 Reference 4 1 Reference 8 0 Reference
Any variant 13 11 NA 12 27 11.5 (1.1–125.2) 17 12 NA 0.24
Above wt/wt 12 4 Reference 4 1 Reference 20 6 Reference
Any variant 19 25 5.3 (1.3–21.2) 8 20 10.0 (1.0–104.2) 35 71 6.7 (2.5–18.3)

BRAF, v-raf murine sarcoma viral oncogene homolog B1; CI, confidence interval; MCIR, melanocortin-1 receptor; OR, odds ratio; wt, wild type; NA, not available.

Numbers may vary across the strata due to missing variables.

1

Numbers in each stratum are based on the specific values of each population (for example, medians of the same variable can vary between populations).

2

Models adjusted by median age; the combined analyses could not be adjusted by population because of small numbers in some categories.

3

P-value for interaction of the MC1R–BRAF association and the variable of each stratum.

4

Chronically exposed sites: face, scalp, neck, back of hands, lower legs, and forearms; intermittently exposed sites: chest, back, upper legs, and upper arms.

Acral melanomas were excluded.

5

In situ melanoma was excluded.

6

Population 1, ≥2mm nevi counted on the entire body and population 2, nevi of any size counted on the back only.

We then proceed with a case–control analysis to estimate the magnitude of the MC1R–BRAF association in comparison with the overall association between MC1R variant and melanoma risk, taking advantage of the MC1R data on all control subjects. In population 1, we found a strong association between MC1R variants and melanoma harboring BRAF mutations (Table S4). This association was confirmed in the combined cases and controls (n = 513) (Table 3). As found in previous studies (Palmer et al., 2000; Kennedy et al., 2001; Dwyer et al., 2004; Matichard et al., 2004; Landi et al., 2005; Kanetsky et al., 2006; Stratigos et al., 2006; Fargnoli et al., 2006a; Fernandez et al., 2007), the risk of melanoma increased in subjects with MC1R variants (OR = 2.2, 95% CI = 1.4–3.4) and, particularly, in those with multiple variants (P-trend ≤ 0.0001). However, when we stratified the melanoma cases between those with melanomas harboring BRAF mutations and those with no BRAF mutations, the risk associated with MC1R variants was confined only to BRAF-mutant melanomas, ranging from 5- to 15-fold in carriers of one or multiple MC1R variants. No association was found with melanomas without BRAF mutations (Table 3).

Table 3.

Risk of melanoma in two combined Italian case–control studies by MC1R germline variants and BRAF mutation status in melanomas

MC1R
genotype1
No. of
controls2
No. of melanoma cases3 All cases P-value
(all cases)
OR for melanoma risk (95% CI)4 P-value
(BRAF mutant)
All
cases
BRAF
wt
BRAF
mutant
BRAF
wt
P-value
(BRAF wt)
BRAF
mutant
wt/wt 121 36 29 7 Reference Reference Reference
Any variant 214 141 54 87 2.2 (1.4–3.4) 0.0003 1.0 (0.6–1.6) 0.94 7.5 (3.3–16.8) <0.0001
wt/wt 121 36 29 7 Reference Reference Reference
r/wt or R/wt 171 95 41 54 1.9 (1.2–2.9) 0.007 1.0 (0.6–1.6) 0.85 5.8 (2.5–13.2) <0.0001
r/r or R/r or R/R 43 46 13 33 3.7 (2.1–6.4) <0.0001 1.1 (0.5–2.4) 0.82 15.3 (6.1–37.6) <0.0001
Total 335 177 83 94 P-trend <0.0001 P-trend 0.91 P-trend <0.0001
wt/wt 121 36 29 7 Reference Reference Reference
r/wt 129 62 27 35 1.6 (1.0–2.7) 0.05 0.8 (0.5–1.5) 0.53 5.1 (2.1–11.9) 0.0002
r/r or R/r or
R/wt or R/R
85 79 27 52 3.1 (1.9–5.0) <0.0001 1.2 (0.7–2.2) 0.54 11.0 (4.8–25.6) <0.0001
Total 335 177 83 94 P-trend <0.0001 P-trend 0.58 P-trend <0.0001
wt/wt 121 36 29 7 Reference Reference Reference
r/wt or r/r 163 77 32 45 1.6 (1.0–2.5) 0.05 0.8 (0.4–1.3) 0.34 5.1 (2.2–11.8) 0.0001
R/wt or R/r or R/R 51 64 22 42 4.2 (2.5–7.2) <0.0001 1.8 (0.9–3.5) 0.09 14.1 (6.1–34.5) <0.0001
Total 335 177 83 94 P-trend <0.0001 P-trend 0.19 P-trend <0.0001

BRAF, v-raf murine sarcoma viral oncogene homolog B1; CI, confidence interval; MCIR, melanocortin-1 receptor; OR, odds ratio; wt, wild type.

1

MC1R variants were grouped as “R” (R151C, R160W, and D294H) or “r” variants (any non-R variant excluding synonymous changes) (Landi et al., 2005, 2006).

2

One control had missing age and was excluded from the analysis.

3

All cases analyzed for BRAF.

4

Logistic regression models adjusted by age (quartiles) and population.

This confirms that in the Italian population, MC1R variants are strongly associated with BRAF-mutant melanomas independently of the degree of solar damage in the areas adjacent to the melanoma lesions. In the original study, the association of MC1R with BRAF mutations was restricted to non-CSD-melanomas in the American population, whereas the number of CSD melanomas in the Italian population was too small to carry out any analysis (Landi et al., 2006). The difference between the Italian and American populations with regard to CSD could be due to the age difference. In fact, both Italian populations were approximately 10 years younger than the American population in Landi et al. (2006), and the degree of chronic solar damage increases with age. Also, differences in sun sensitivity between populations, and the variations in tissue fixation and staining that could affect the recognition of signs of CSD adjacent to the melanoma lesions, could have played a role.

In conclusion, the original observation of an association between MC1R variants and BRAF-mutant melanomas (Landi et al., 2006) is strongly confirmed in this independent population, whereas no association was observed in subjects whose melanomas had no BRAF mutations. Moreover, given the similarities between our population and the original Italian group in Landi et al. (2006), we could pool the data of two studies, and explore the effect of phenotypic characteristics of subjects and the features of the melanoma lesions on this association. No hypothesized factors modified this association. Whether the MC1R–BRAF link is a consequence of a direct effect of impaired MC1R on BRAF or is an epiphenomenon of alterations in other pathways is unclear and warrants further research.

MATERIALS AND METHODS

Study population

We analyzed 165 sporadic melanoma patients and 165 sex- and age-matched healthy controls (82 males and 83 females, aged 17–82 years) enrolled in central Italy (L’Aquila, Florence and Modena), from 2000 to 2002 (defined as population 1). To increase the sample size and related statistical power of possible effect modifiers of the MC1R–BRAF association, the results of population 1 were compared and combined with data of the Italian population in Landi et al. (2006) (defined as population 2), which included 183 melanoma patients (87 males and 96 females, aged 17–77 years) and 179 control subjects (89 males and 90 females), frequency-matched to cases in terms of sex and age by decade, enrolled in Northeastern Italy (Bufalini Hospital of Cesena, Italy) from 1994 to 1999. For both populations, data on characteristics of subjects were collected through standardized questionnaires (lifetime residential history, medical history, family history of cancer and other diseases, UV exposure habits, skin reaction to the first 30 minutes of sun exposure, tanning ability after prolonged sun exposure) and skin examination (skin type, hair and eye color, freckling, number of melanocytic nevi, and presence of clinically atypical nevi) are described in detail in Fargnoli et al. (2006b) for population 1 and Landi et al. (2001, 2006) for population 2, respectively. CSD in skin adjacent to melanomas was independently assessed in melanoma tissue sections by two pathologists (BCB and DEE), using a multipoint scale from 0 to 3 +, as described (Landi et al., 2006). However, an unambiguous scoring in the critical moderate-to-severe range of solar elastosis could not be reached because of the variability and/or poor staining quality of some hematoxylin and eosin-stained sections. As the unequivocal CSD-positive cases were few as in the original Italian population (Landi et al., 2006), we analyzed all melanomas regardless of the CSD status.

Written informed consent was obtained under Bufalini Hospital’s, University of L’Aquila’s, and National Cancer Institute’ Institutional Review Board-approved protocols in accordance with the Declaration of Helsinki Principles.

MC1R and BRAF sequencing

The 951 bp MC1R coding region (AF153431) was directly sequenced either in its entirety or in two overlapping fragments by PCR followed by direct sequencing of the amplicon(s) in blood genomic DNA from all subjects. Specific primers and sequencing chemistries have been previously described (Landi et al., 2005; Fargnoli et al., 2006a).

Molecular analysis of BRAF exon 15 was carried out on somatic DNA, extracted by manual microdissection using a dissection microscope to select areas in which melanoma cells dominated over stromal cells. As in the original Italian population (Landi et al., 2006), we excluded acral melanomas because BRAF mutations are known to be rare in these lesions (Maldonado et al., 2003). Given the small size of the melanoma lesions and the necessity to use most of the lesion for diagnosis, sufficient/good quality DNA for BRAF analysis could be extracted only from a subgroup of tissue specimens, specifically from 92 cases in population 1 and 85 cases in population 2. Exon 15 of BRAF (NM_004333) was sequenced as described (Landi et al., 2006). The characteristics of subjects and melanomas did not substantially differ between cases with or without data on BRAF mutation status (Table S5 for population 1 and Landi et al., 2006 for population 2), and thus selection bias is unlikely, although cannot be excluded.

Statistical analysis

The association between MC1R variants and BRAF-mutant melanomas was explored using logistic regression models in case–case and case–control analyses adjusted for the matching variables and for other potential confounders, including pigmentation characteristics and nevus count. OR and corresponding 95% CI adjusted for age are reported (other adjustments provided similar results). All P-values were two-sided. For statistical analysis, MC1R variants were grouped as “R” (R151C, R160W, and D294H) or “r” variants (any non-R variant excluding synonymous changes), as described previously (Landi et al., 2005, 2006). Patients were categorized in four groups based on MC1R genotype to explore possible differences of MC1R variants (Beaumont et al., 2007).

ACKNOWLEDGMENTS

We are grateful to the melanoma patients and healthy controls for their participation in the study. This study was supported by the Italian Ministry of University and Scientific Research (2001068929_004); the Intramural Research Program of National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics; and the National Cancer Institute, National Institutes of Health (contract no. 01-CO-12400).

Abbreviations

BRAF

v-raf murine sarcoma viral oncogene homolog B1

CI

confidence interval

CSD

chronic solar damage

MC1R

melanocortin-1 receptor

OR

odds ratio

Footnotes

CONFLICT OF INTEREST

The authors state no conflict of interest.

SUPPLEMENTARY MATERIAL

Table S1. Distribution of non-synonymous MC1R variants in melanoma patients and controls of two Italian populations.

Table S2. Comparison of patient and melanoma characteristics between two Italian populations.

Table S3. Distribution of BRAF-mutant melanomas by melanoma characteristics in two Italian populations.

Table S4. Risk of melanoma by MC1R germline variants and melanoma BRAF mutation status in case–control analysis in population 1.

Table S5. Comparison of demographic and phenotypic characteristics of subjects and melanoma lesions in cases analyzed and not analyzed for BRAF mutations in population 1.

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