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Prevalence of variations in melanoma susceptibility genes among Slovenian melanoma families

  • Barbara Peric1,
  • Petra Cerkovnik1,
  • Srdjan Novakovic1,
  • Janez Zgajnar1,
  • Nikola Besic1 and
  • Marko Hocevar1Email author
Contributed equally
BMC Medical Genetics20089:86

https://doi.org/10.1186/1471-2350-9-86

Received: 05 March 2008

Accepted: 19 September 2008

Published: 19 September 2008

Abstract

Background

Two high-risk genes have been implicated in the development of CM (cutaneous melanoma). Germline mutations of the CDKN2A gene are found in < 25% of melanoma-prone families and there are only seven families with mutation of the CDK4 gene reported to date. Beside those high penetrance genes, certain allelic variants of the MC1R gene modify the risk of developing the disease.

The aims of our study were: to determine the prevalence of germline CDKN2A mutations and variants in members of families with familial CM and in patients with multiple primary CM; to search for possible CDK4 mutations, and to determine the frequency of variations in the MC1R gene.

Methods

From January 2001 until January 2007, 64 individuals were included in the study. The group included 28 patients and 7 healthy relatives belonging to 25 families, 26 patients with multiple primary tumors and 3 children with CM. Additionally 54 healthy individuals were included as a control group. Mutations and variants of the melanoma susceptibility genes were identified by direct sequencing.

Results

Seven families with CDKN2A mutations were discovered (7/25 or 28.0%). The L94Q mutation found in one family had not been previously reported in other populations. The D84N variant, with possible biological impact, was discovered in the case of patient without family history but with multiple primary CM. Only one mutation carrier was found in the control group. Further analysis revealed that c.540C>T heterozygous carriers were more common in the group of CM patients and their healthy relatives (11/64 vs. 2/54). One p14ARF variant was discovered in the control group and no mutations of the CDK4 gene were found.

Most frequently found variants of the MC1R gene were T314T, V60L, V92M, R151C, R160W and R163Q with frequencies slightly higher in the group of patients and their relatives than in the group of controls, but the difference was statistically insignificant.

Conclusion

The present study has shown high prevalence of p16INK4A mutations in Slovenian population of familial melanoma patients (37%) and an absence of p14ARF or CDK4 mutations.

Keywords

MelanomaCutaneous MelanomaMC1R GeneCDKN2A GeneCDK4 Gene

Background

Cutaneous melanoma (CM) is the most common cause of death from skin cancer [1]. According to epidemiology studies, the risk of CM is influenced by genetic and environmental factors. Exposure to UV radiation is the main environmental factor, while the genetic basis of CM is complex and appears to involve multiple genes. It is now widely recognized that autosomal dominant inheritance of certain genes is associated with predisposition to CM. Two high penetrance melanoma susceptibility genes, CDKN2A and CDK4, and a low penetrance gene, MC1R, have been identified [2].

CDKN2A is a tumor suppressor gene encoding two distinct proteins from alternatively spliced transcripts [3]. One of those proteins is p16INK4A, which inhibits the CDK4/6 mediated phosphorilation and inactivation of Rb (retinoblastoma) protein. The alternative reading-frame product – p14ARF inhibits the MDM2-mediated ubiquitylation and subsequent degradation of p53 protein [4]. Mutations affecting only the p14ARF protein product are rare.

Germline CDKN2A mutations have been detected in 10–25% of melanoma-prone families from North America, Europe and Australia [5]. Studies in the past have also indicated an increased risk of pancreatic cancer (PC) in families with CDKN2A mutations [6].

In contrast to numerous cases of CDKN2A mutations in families with CM, to our knowledge only seven families with CDK4 germ-line mutations have been identified worldwide [7]. The CDK4 gene is an oncogene encoding cyclin dependent kinase 4. All reported CDK4 mutations are located in exon 2, which codes for the p16INK4A binding site [3].

The gene encoding melanocortin 1 receptor protein (MC1R) does not play a part in cell cycle regulation. It is expressed on epidermal melanocytes, functioning as a binding receptor for alpha melanocyte-stimulating hormone (MSH). MC1R-MSH complex induces cyclic-AMP tyrosinase activity and melanin production [2]. The MC1R gene determines the type of melanin produced in the skin, but its role in melanoma carcinogenesis reaches beyond its pigmentation effects. MC1R variants R151C, R160W and D294H are associated with a skin phenotype prone to the development of CM (red hair, fair skin, freckles and an inability to tan). These variants are known as RHC (red hair color) variants and are associated with an increased risk of developing CM independently of skin phenotype. It is believed that they also act as modifiers of CM risk in carriers of CDKN2A mutations [810].

Slovenia has a geographical latitude of 46°02' and two million inhabitants. The reported incidence rate of CM was 14.5 per 100 000 for males and 14.9 for females in the time period 2000 to 2004. In the year 2006, the expected incidence rate was 16 per 100 000 [11].

The major aims of our study were: i) to determine the prevalence of germline CDKN2A mutations and variations in members of families with familial CM and in patients with multiple primary CM; ii) to search for individuals/families with possible CDK4 mutations; iii) to determine the frequency of MC1R gene variants and to correlate them with development of CM in the population of patients from melanoma families and their healthy relatives. In an extended genotyping, we also looked for the same genetic alterations among healthy individuals belonging to the control group.

Methods

Patients

From January 2001 to January 2007, 64 individuals were included in this study of melanoma susceptibility genes, after being referred to the Institute of Oncology Ljubljana for further treatment or genetic counseling. The group comprised 28 patients and 7 of their healthy relatives belonging to 25 melanoma families, and 26 patients with multiple primary CM. Melanoma families were defined as: (a) having at least two affected family members, or (b) a case of PC in a first-degree relative. In two cases family history was based on a second-degree relative with CM. All included unaffected members of the melanoma families were patient's first degree relatives. Additionally, 3 children diagnosed with CM at eight, nine and twelve years were included. They were not members of melanoma families. In all cases the diagnosis of CM was confirmed by pathology report and family histories were obtained from personal interviews. Additional cancers that were reported in this study were colon cancer (three families), lung cancer (two families) and breast, prostatic and non-melanoma skin cancer (each in one family). All adult patients, and the parents of the three children, were informed about the genetic research protocol and signed a consent form agreeing to donate blood samples. The study was reviewed and approved by the Slovenian National Medical Ethics Committee. Table 1 contains demographic details about the study population.
Table 1

Demographic details

Study population (n = 64)

 

Family history

Unaffected relatives

Multiple primary CM

Child

Gender

     

female

male

No

28

7

26

3

41

23

Age at the time of diagnosis (years) of 57 patients*

Pts No (%)

 

< 15

< 45

 

> 45

 
  

3 (5.3%)

25 (43.8%)

 

29 (50.8%)

 

Families (n = 25)

  

< 3 affected members

≥ 3 affected members

 

CM and PC

No of fam.

 

17

4

 

4

 

* the 7 healthy relatives are not included

Healthy controls

Randomly chosen individuals were invited to donate blood samples at the Institute of Oncology Ljubljana. Individuals previously diagnosed with cancer were excluded. All participants agreed that their blood sample can be used to create a DNA bank, which could be repeatedly used in various genetic researches, but they will not be informed about the research results. 54 DNA samples of volunteers with comparable sex and age were chosen from that bank in order to match the individuals in the group of patients and their relatives. The group included 28 females (aged 24 – 70 years) and 26 males (aged 24 – 63). At the time of study, 48.1% of individuals were under 45 years and 51.8% of individuals were older than 45 years.

Mutation screening of melanoma susceptibility genes

For mutation analysis, genomic DNA was isolated from 10 ml of peripheral blood using QIAamp® DNA Blood Maxi kit (Qiagen, Hilden, D) according to the manufacturer's protocol.

Exons 1α, 1β, 2 and 3, including part of promoter region and 3'-UTR region of the CDKN2A gene, exon 2 of the CDK4 gene and the coding sequence of the MC1R gene were amplified by polymerase chain reaction (PCR) as described previously [1214].

Direct sequencing, using an automated fluorescence-based cycle sequencer (ABI Prism® 310 Genetic Analyzer, Applied Biosystems, Warrington, UK), identified mutations/variants. Chromatograms were read with the aid of ABI Prism 310 software (Applied Biosystems) and utilizing the Gene Runner software tool, version 3.05. Numbering of variants relates to the following reference sequences, CDKN2A gene: GeneBank accession no. AF527803 for coding region and 3'-UTR region, and X94154 for promoter region, CDK4 gene: GeneBank accession no. AF507942 and MC1R gene: GeneBank accession no. AF263461.

Statistics

Pearson Chi-Square test was used to compare the number of different variant carriers between the patients and the control group.

Student's t test was used for mean age comparison of patients who were p16INK4A mutation-positive and those who were mutation-negative.

Allele frequencies of MC1R variants were defined as the percentage of times that a given allele is present at a locus within each tested group and compared with Fisher's exact test. All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS) v. 15.0. P-values less than 0.05 were considered statistically significant.

Results

Sequencing of the 1α, 2 and 3 CDKN2A exons revealed 11 different allelic variants presented in Table 2. There were 7 mutations (named p16INK4A mutations), one variant of the coding region, one variant of 5'UTR and two variants of 3'UTR. In all but one case, the mutations were discovered in the group of patients with positive family history or their relatives (14/35). One mutation (D153E) was found only in the group of healthy control individuals. In the same group, we found one case of a A148T variant, which was also found in one case of familial melanoma and in two cases of multiple primary CM. Altogether three patients with multiple primary CM had two different allelic variants of the coding region (two cases of A148T and one of D84N variant, 3/26). Analysis of the samples taken from the three children revealed no changes in the coding region of CDKN2A (Table 2), but it showed that they were all heterozygous for the same 5'UTR and 3'UTR variants. Three out of four families with ≥ 3 cases of CM were mutation-positive (3/4).
Table 2

CDKN2A variants among individuals with family history, patients with multiple primary CM, and healthy controls

   

POSITIVE CASES

Location

CDKN2A

nucletide

change

Aminoacid

change

Pts with

family history

(28)

Healthy

relatives

(7)

Families

(25)

Pts with multiple

primary only

(26)

Children

(3)

Healthy

controls

(54)

Exon 1α

68G > A

G23D

2

1

2

0

0

0

Exon 1α

71G > C

R24P

1

1

1

0

0

0

Exon 1β

69C > T

F23F

0

0

0

0

0

1

Exon 2

250G > A

D84N

0

0

0

1

0

0

Exon 2

281T > A

L94Q

3

2

1

0

0

0

Exon 2

301G > T

G101W

2

0

2

0

0

0

Exon 2

442G > A

A148T

1

0

1

2

0

1

Exon 2

459C > A

D153E

0

0

0

0

0

1

Intron 1

IVS1-1G > A

 

1

0

1

0

0

0

In the group of patients and their relatives, 38 individuals had the -191Met A > G variant of 5'UTR (38/64) compared to 31 cases in the control group (31/54). In both groups, most of the cases were heterozygous. Sequencing of 3'UTR gave similar results considering the IVS3+29C > G (c.500C > G) variant (22/64 vs. 13/54). Comparing both groups for another allelic variant showed that IVS3+69C > T (c.540C > T) heterozygous carriers were more common in the group of patients with CM and their healthy relatives (11/64 vs. 2/54). Results are presented in Table 3. There were no differences in the distribution of variants considering family history or multiple primary CM.
Table 3

Variants in 5'- and 3'-UTRs

 

3'UTR and 5'UTR VARIANTS

 
 

Positive cases

 

Location

CDKN2A

nucletide

change

Pts and healthy

relatives

(n = 35)

Healthy

controls

(n = 54)

3'-UTR

500C > G

22

13

3'-UTR

540C > T

12

2

5'-UTR

-191A > G

38

31

  

Pts with CM

(n = 28)

Healthy controls

(n = 54)

500C > G

heterozygous

17

12

 

homozygous

2

1

540C > T

heterozygous

11

2

 

homozygous

1

0

-191A > G

heterozygous

26

28

 

homozygous

8

3

Sequencing of the exon 1β revealed no mutations in the group of patients with CM or their healthy relatives. In the control group, we found the F23F allelic variant (numbered from the second start codon).

At the time of diagnosis, mean age of patients who were p16INK4A mutation-positive was 38.40 years compared to 45.11 years for mutation-negative patients (p = 0.257).

There were no mutations found on exon 2 of the CDK4 gene in our population of CM patients or healthy control individuals.

Analysis of the complete MC1R sequence revealed 14 different variants, including "R" alleles and 1 deletion (Table 4). The most frequently found ones were T314T, V60L, V92M, R151C, R160W and R163Q. D294H was among rarely encountered variants. The deletion was found in the case of a patient with no family history, but with multiple primary CM.
Table 4

Distribution of MC1R variants among patients with CM and their healthy relatives and in the control group.

No

MC1R variant

Pts and healthy relatives

(n = 64)

Allel Freq.

(%)

Control group

(n = 54)

Allel Freq.

(%)

p

 

Protein

Nucleotide

     

1

p. V60L

c.178G > T

11

8.6

9

8.3

1.00

2

p. V92M

c.274G > A

13

10.1

9

8.3

0.66

3

p. R142H

c.425G > A

1

0.8

0

0.0

1.00

4

p.R151C*

c.451C > T

12

9.4

6

5.5

0.32

5

p.I155T

c.464T > C

1

0.8

0

0.0

1.00

6

p.R160W*

c.478C > T

11

8.6

8

7.4

0.81

7

p.R163Q

c.488G > A

6

4.7

4

3.7

0.75

8

p.R213W

C.637C > T

1

0.8

0

0.0

1.00

9

p.A218T

c.652G > A

0

0.0

1

0.9

0.46

10

p.G239G

c.717C > T

0

0.0

1

0.9

0.46

11

 

c.754delC

1

0.8

0

0.0

1.00

12

p.L286V

c.856C > G

2

1.6

0

0.0

0.50

13

p.D294H*

c.880G > C

1

0.8

0

0.0

1.00

14

p.T314T

c.942A > G

14

10.9

10

9.2

0.82

15

p.S316S

c.948C > T

0

0.0

1

0.9

0.46

* "R" alleles: RHC variants were classified by strength of association with red hair into strong and weak RHC alleles. Strong alleles included p.R151C, p.R160W, p.D294H and were designated as "R".

There were 11 carriers of at least one MC1R variant in the group of individuals with one of the CDKN2A coding region allelic variants. Three healthy carriers of the p16INK4A mutation also had at least one MC1R variant, but in the six p16INK4A mutation carriers with CM, there were no MC1R variants found (Table 5).
Table 5

CDKN2A and MC1R allelic variants in patients with CM

CASE

CM

CDKN2A allel. variants

MC1R alleles

1

yes, multiple

p.L94Q

"R"

2

yes, multiple

p.L94Q

 

3

no

p.L94Q

"r"

4

yes

p.L94Q

 

5

no

p.L94Q

"R"

6

yes, multiple

p.G23D

"r"

7

no

p.G23D

"R"

8

yes, multiple

IVS1-1g>a

"R"

9

yes, multiple

p.G101W

 

10

yes, multiple

p.R24P

"r"

11

yes

p.A148T

"R"

12

yes

p.G101W

 

13

yes

p.A148T

 

14

no

p.R24P

"r"

15

yes

p.G23D

"r"

16

yes, multiple

p.A148T

"r"

17

yes, multiple

p.D84N

 

Discussion

We analyzed melanoma susceptibility genes in the DNA samples of 64 individuals with multiple primary CM and/or family history of CM. Many of them (35/64 or 54.7%) had a family history of CM and/or PC and belonged to 25 different melanoma families. In order to avoid mistaking allelic variants commonly present in Slovenian population as variants observed in CM cases, we additionally analyzed DNA samples of 54 healthy individuals.

Since the mutation carriers belonged to 7 different CM families, the frequency of mutation-positive families was 7/25 (28.0%). Of 35 individuals with positive family history 13 (37%) were p16INK4A mutation-positive. This is similar to northern parts of neighboring Italy (25% of families with two CM cases), where frequencies vary according to each specific region [15]. Researchers from Germany, Poland and Latvia report much lower frequencies or absence of p16INK4A mutations [7, 16, 17]. In Utah reported frequency for melanoma families is also lower, only 8.3% – 10% in physician-referred pedigrees. One possible reason for the observed high mutation rate in our population of CM families is that their recruitment was based on physician referral. Population-based assessments usually report somewhat lower presence of CDKN2A mutations [1].

The percentage of p16INK4A mutation-positive families was higher in the case of families with 3 affected members, as expected [18]. In our study only 4 families had three members with CM and three of those families were p16INK4A mutation-positive (75%). In one of the pedigrees with three cases of CM, the mutation L94Q was detected, a mutation that has not previously been described in other populations [12].

Two families in our study were G101W positive. G101W is the most common missense mutation identified in melanoma pedigrees. This type of mutation is known as a founder mutation in our neighboring country Italy. The presence of the mutation in Slovenia could be the consequence of genetic material spreading through the geographical region [19]. In fact, one family did have an Italian ancestor.

All the mutations discovered in the patient group were located on exons 1α and 2, there were no mutations found on exon 1β. Mutations located on exon 1β affecting only p14ARF are generally rare [20, 21]. In our study, the only allele variant detected on the exon 1β – F23F was detected in one of the individuals from the control group.

Family history and the presence of mutation are usually related to an earlier onset of the disease. The p16INK4A mutation-carriers in our study developed CM earlier than the patients without mutation, but the difference did not reach statistical significance (p = 0.257). This could be explained by the fact that all of the individuals with CM (both mutation positive and negative) had a family history of CM or multiple primary CM.

According to the literature, individuals carrying p16INK4A mutations are at a higher risk for developing a PC [6]. There were 4 CM/PC families in our study. In one of these families the variant A148T was detected. This variant was described in previously published studies as a polymorphism without any deleterious influence on the p16INK4A protein [22]. One study reported that A148T heterozygous carriers were more likely to have a first-degree relative with cancer of any type [23].

There were no deleterious CDKN2A mutations found in the three children, but all of them were positive for 500C>G and -191MetA>G variants. There were also no mutations found in the study published by Whiteman, so the conclusion is that other genes are important in the genesis of an early-onset melanoma [24].

We included in the study 26 patients with multiple primary CM without family history of the disease. Multiple primary CM could alone indicate an underlying genetic predisposition [15, 25]. In the group of p16INK4A mutation carriers, six (6/13) patients indeed developed multiple primary CM. Only one patient without family history tested positive for possible p16INK4A mutation, in this case D84N. Many patients with multiple primary tumors were carriers of at least one of the 5'-UTR or 3'-UTR variants (18/26). There were also two carriers of the exon 2 allelic variant (A148T) in the group. The remaining eight patients with multiple primary CM had no changes in the CDKN2A sequence (8/26).

To the best of our knowledge there are no previous descriptions of the D84N variant. It is part of the coding region of the CDKN2A gene and as such may affect the protein function.

There are numerous reports about the prevalence of 3'UTR variants in the population of patients with CM, but the conclusions drawn in these studies are sometimes contradictory [23, 26, 27].

The prevalence of -191MetA>G did not differ between the group of CM patients and the control group in our study, which could confirm previous reports about low significance of that allelic variant in development of CM [28]. Although some authors report a higher prevalence of 500C>G in the population of CM patients and possible influence on the course of the disease, we also found high prevalence in the group of healthy individuals (19/64 vs. 13/54) [27]. The only observed difference between the group of healthy individuals and the patients with CM was the presence of the T allele (or 540C>T heterozygous carriers, 11/64 vs. 2/54). The heterozygous carriers were more numerous in the group of patients but after applying Bonferroni correction to account for multiple tested groups, the difference was statistically insignificant. A similar observation was reported by Kumar in the group of patients with sporadic CM [26]. In the study performed on Latvian sporadic CM patients, no changes in the frequency of both 3'UTR allelic variants were observed. The investigated polymorphic variants could have some influence on the CM risk by altering the level of CDKN2A transcription or by being in linkage disequilibrium with some unknown high-risk variant which could be the subject of further investigations [29].

We did not discover a pedigree with CDK4 mutation in our population of familial CM, but this was expected since these mutations are very rare and affected families usually have numerous cases of CM [5, 30].

The search for the MC1R variants led to results that were in conjunction with recently published reports about allele frequency across different populations [31]. Interestingly, the most common variant in our population was T314T with as high a frequency as in French and Dutch populations. Among all of the studied populations, V92M was one of the most common variants and this was also the case in our results, but the frequency was somewhat higher than that reported for Italian or Greek populations. V60L proved to have the same frequency as V92M and similar frequencies as in Dutch and French populations but higher than in Italian and Greek studies. We discovered rather high frequencies of RHC variants R151C and R160W, but only one case of D294H. The evaluation of allele frequencies by Gerstenblith presented significantly different distribution of MC1R variants across Caucasians. The allele frequency of combined RHC variants showed a geographic gradient with decreasing frequency from North to South with frequencies of 21.5%, 8.5% and 2.9% in Britain/Ireland, Italy and Greece, respectively [31]. The results from our population rank us somewhere in between and they probably reflect our geographical position and intensive migrations in the past. Frequencies of the most frequent allelic variants were slightly higher in the group of patients and their relatives than in the group of controls but the differences did not reach statistical significance. Four individuals with p16INK4A mutation had also one of the "R" alleles. Two of them developed CM but two are currently healthy. Based on this, no conclusions can be made about the influence of "R" alleles on p16INK4A penetrance [9]. The effect of discovered MC1R variants on the individual's pigmentation characteristics, or risk of skin cancer, remains to be elucidated.

Conclusion

The present study has shown a high prevalence of CDKN2A mutations affecting p16INK4A in Slovenian population of familial melanoma patients (37%) and an absence of p14ARF or CDK4 mutations. This indicates the need to continue with the study of melanoma susceptibility genes in the Slovenian population in order to design effective prevention programs.

Notes

Declarations

Acknowledgements

This work was supported by the grant from the Ministry of Education, Science and Sport # J3-6083.

Authors’ Affiliations

(1)
Department of Surgical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia

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  32. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/9/86/prepub

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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