Literature DB >> 30210630

Genetic polymorphisms may influence the vertical growth rate of melanoma.

Mariusz Sikora1, Lidia Rudnicka1, Barbara Borkowska1, Agnieszka Kardynał2, Monika Słowińska3, Adriana Rakowska1, Olga Warszawik-Hendzel1, Anna Wiergowska2, Iwona Ługowska4, Piotr Rutkowski4, Tadeusz Dębniak5, Jan Lubiński5, Małgorzata Olszewska1.   

Abstract

Background: Identification of new predictive markers in melanoma is of great clinical importance. This study was aimed to analyze association between selected common variants in the cancer susceptibility genes and melanoma progression at the time of diagnosis. Material and Method: The study included 243 consecutive patients with melanoma. Genotyping was performed using real-time PCR.
Results: Our data revealed modest association between xeroderma pigmentosum complementation group D (XPD) codon 312 polymorphism and tumor thickness (as defined by Breslow score; XPD D312N CC: 3.00 ± 3.78mm, CT: 1.71 ± 2.48mm, TT: 2,53 ± 3,24mm, P=0.023). The CT genotype in XPD D312N polymorphism was more frequently represented in non-invasive melanomas compared to deeply penetrating tumors. None of the common SNPs in cyclin dependent kinase inhibitor 2A (CDKN2A), vitamin D receptor (VDR), melanocortin 1 receptor (MC1R) were associated with Breslow depth.
Conclusion: These findings suggest that genetic alteration in XPD contributes to melanoma progression and may be a potential diagnostic and molecular prognostic marker.

Entities:  

Keywords:  CDKN2A; MC1R; VDR; XPD.; cutaneous melanoma; polymorphism

Year:  2018        PMID: 30210630      PMCID: PMC6134810          DOI: 10.7150/jca.26404

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Melanoma is considered one of the most aggressive neoplasms with extremely poor prognosis at advanced stages. The worldwide incidence and mortality rates of this tumor have been increasing over the last decades 1. A combination of clinical criteria and histopathological features are established methods used for melanoma staging and predicting the survival outcome 2. The most important prognostic factors include tumor thickness, ulceration, Clark level, mitotic rate and status of the sentinel lymph node. However, these markers are limited in their ability to reliably distinguish between low and high-risk melanoma cases 3. Therefore, there is an urgent need to further sub-classify and identify new prognostic biomarkers to improve prediction and develop new targets for therapy. Although exposure to ultraviolet (UV) radiation is a major environmental risk factor for melanoma, the genetic factors contribute to the development and progression of the disease. The malignant transformation from melanocytes to melanoma and the progression of primary cutaneous tumors to invasive and metastatic diseases results from a combination of genetic alterations 4. A number of recent genome wide association studies have confirmed several regions associated with cancer initiation and development 5. Melanoma risk is attributable to rare germline or somatic mutations in a variety of tumor suppressor genes such as CDKN2A 6, nucleotide excision repair system 7 and many other low-penetrant genetic variants that include melanocortin-1 receptor (MC1R) 8 or vitamin D receptor (VDR) 9. There is a growing list of candidate genes that have been speculated to be involved in molecular mechanism behind melanoma formation. However, relatively little is known about genetic factors for melanoma progression and metastasis. Thus, the aim of our study was to evaluate whether polymorphisms in genes previously associated with the increased risk of melanoma play an essential role in tumor progression. Genetic alterations selected for analysis included seven single nucleotide polymorphisms in the common variants of following four genes: CDKN2A (A148T), XPD (D312N, K751Q), VDR (M1T), MC1R (R160W, R151C, R163Q).

Material and Methods

Melanoma patients

We studied a group of 243 consecutive patients with newly diagnosed and histologically confirmed cutaneous melanoma. The study included 135 women and 108 men with a mean age at diagnosis of 49.2 years (age range: 19-83), diagnosed at four major skin cancer centres in Warsaw, Poland. All participants signed an informed consent document before entering the study. The participation rate was 99,2%. The study was approved by the local ethics committee.

Genotyping

Genotyping was performed in DNA samples isolated from peripheral blood cells of patients with melanoma. Molecular analysis was performed using a combination of real-time PCR (LightCycler 480, Roche, Penzberg, Germany) and MassARRAY MALDI-TOF MS analysis (Sequenom Inc., San Diego, CA, USA). For real-time PCR TaqMan genotyping assays were used (Applied Biosystems, Foster City, CA). MALDI-TOF analysis was based on a primer extension reaction to detect and determine the SNP allele. Reactions were performed according to the manufacturer's instructions.

Sequencing

Random DNA samples were sequenced to verify the results of the MassARRAY genotyping and real-time PCR analysis. Sequencing was conducted using universal primers in combination with the ABI PRISM BigDye Terminator Cycle (Applied Biosystems, Foster City, CA) in the 3130 Genetic Analyzer (Applied Biosystems, Foster City, CA). SNP selection, experimental conditions to perform RFLP-PCRs, real time PCR and DNA sequencing have been described previously 10-12.

Duration of skin lesion prior to diagnosis

The duration of the lesion diagnosed as melanoma prior to diagnosis was based on detailed anamnesis in all patients.

Statistical methods

Data are presented as mean ± SD. Associations between polymorphisms and clinicopathological features of melanoma patients were analysed by Mann-Whitney U-test for single comparisons and with Kruskal-Wallis test, followed by Dunn's post hoc test for multiple comparisons. To determine significant differences of genotype frequencies in patients with tumor Breslow thickness ≤ 1mm or > 1mm two-tailed Fisher exact test was used. All statistical analyses were performed using STATISTICA 12.0 (StatSoft, Krakow, Poland). P-values < 0.05 were considered statistically significant.

Results

Breslow thickness

The comparison of mean tumor Breslow depth between carriers of each analyzed single nucleotide polymorphism (SNP) (Table 1) revealed that the D312N CT genotype was more frequent in patients with thinner tumor thickness (P=0.023) compared to CC and TT genotypes. We further analyzed allele distribution in subgroups of melanoma patients with Breslow thickness ≤ 1mm and > 1mm (Table 2) as well as patients with invasive and in situ cancer (Table 3). The CT genotype in XPD D312N polymorphism was more frequently represented in non-invasive melanomas compared to thicker and more deeply penetrating tumors. Since XPD gene plays an important role in the removal of UV-light-induced DNA damage we investigated correlations between XPD D312N polymorphisms and Fitzpatrick skin phototype, melanoma location (sun-exposed areas vs sun-hidden locations), number of melanocytic nevi or sunburns in anamnesis. However, we did not find any association between this clinical variables and investigated polymorphism (Table 4).
Table 1

Association between gene polymorphisms and Breslow thickness

SNPGenotypeMean Breslow thicknessP value
VDR M1TAA (n=34)2,78 ± 3,36-
GA (n=89)2,40 ± 3,61NS
GG (n=49)2,25 ± 2,13NS
XPD D312NCC (n=54)3,00 ± 3,78-
CT (n=56)1,71 ± 2,480,023
TT (n=51)2,53 ± 3,24NS
XPD K751QGG (n=23)2,00 ± 1,90-
GT (n=79)2,32 ± 3,19NS
TT (n=68)2,63 ± 3,59NS
MC1R R151C rs1805007CC (n=155)2,48 ± 3,15-
CT (n=14)2,59 ± 3,96NS
MC1R V60L rs1805005GG (n=148)2,30 ± 2,96-
GT (n=21)2,28 ± 2,01NS
MC1R R163Q rs885479GG (n=161)2,37 ± 3,22-
AG (n=11)3,57 ± 2,83NS
CDKN2A A148TPositive (n=8)2,70 ± 1,68-
Negative (n=165)2,42 ± 3,25NS

NS - Not Statistically Significant

Table 2

Allele distribution in melanoma patients with Breslow thickness ≤ 1mm and > 1mm

SNPGenotypeBreslow (≤1mm)Breslow (>1mm)P value
VDR M1TAA (n=34)15 (44,1%)19 (55,9%)-
GA (n=89)32 (36%)57 (64%)NS
GG (n=49)17 (34,7%)32 (65,3%)NS
XPD D312NCC (n=54)15 (27,8%)39 (72,2%)-
CT (n=56)26 (46,4%)30 (53,6%)-
TT (n=51)20 (39,2%)31 (60,8%)NS
XPD K751QGG (n=23)9 (39,1%)14 (60,9%)-
GT (n=79)32 (40,5%)47 (59,5%)NS
TT (n=68)24 (35,3%)44 (64,7%)NS
MC1R R151C rs1805007CC (n=155)55 (35,5%)100 (64,5%)-
CT (n=14)6 (42,9%)8 (57,1%)NS
MC1R V60L rs1805005GG (n=148)57 (38,5%)91 (61,5%)-
GT (n=21)6 (28,6%)15 (71,4%)NS
MC1R R163Q rs885479GG (n=161)59 (36,6%)102 (63,4%)-
AG (n=11)4 (36,4%)7 (63,6%)NS
CDKN2A A148TPositive (n=8)1 (12,5%)7 (87,5%)-
Negative (n=165)58 (35,2%)107 (64,8%)NS

NS - Not Statistically Significant

Table 3

Allele distribution in patients with in situ and invasive melanoma.

SNPGenotypeTumor in situInvasiveP value
VDR M1TAA (n=30)3 (10%)27 (90%)-
GA (n=85)13 (15,3%)72 (84,3%)-
GG (n=46)6 (13,1%)40 (86,9%)NS
XPD D312NCC (n=48)4 (8,3%)44 (91,7%)-
CT (n=52)13 (25%)39 (75%)0,038
TT (n=49)5 (10,2%)44 (89,8%)-
XPD K751QGG (n=21)2 (9,5%)19 (90,5%)-
GT (n=76)8 (10,5%)68 (89,5%)-
TT (n=62)13 (21,0%)49 (79,0%)NS
MC1R R151C rs1805007CC (n=149)19 (12,8%)130 (87,2%)-
CT (n=12)3 (25%)9 (75%)NS
MC1R V60L rs1805005GG (n=139)19 (13,7%)120 (86,3%)-
GT (n=21)2 (9,5%)19 (90,5%)NS
MC1R R163Q rs885479GG (n=153)22 (14,4%)131 (85,6%)-
AG (n=10)1 (10%)9 (90%)NS
CDKN2A A148TPositive (n=8)1 (14,3%)7 (83,7%)-
Negative (n=157)25 (15,9%)132 (84,1%)NS

NS - Not Statistically Significant

Table 4

Clinical characteristic of patients with XPD D312N polymorphism

Clinical variableCC (n = 75)CT (n = 72)TT (n = 72)
skin phototypeI11 (14.7%)10 (13.9%)10 (13.9%)
II44 (58.7%)43 (59.7%)41 (56.9%)
III16 (21.3%)15 (20.8%)18 (25.0%)
IV4 (5.3%)4 (5.6%)3 (4.2%)
melanoma locationsun-exposed areas17 (22.6%)16 (22.2%)15 (20.8%)
sun-hidden locations58 (77.3%)56 (77.8%)57 (79.2%)
number of melanocytic nevi< 1021 (28.0%)22 (30.6%)20 (27.8%)
10-5021 (28.0%)23 (31.9%)26 (36.1%)
51-10014 (18.7%)11 (15.3%)10 (13.9%)
> 10019 (25.3%)16 (22.2%)16 (22.2%)
sunburn in childhoodfirst-degree51 (68.0%)48 (66.7%)47 (65.3%)
second-degree27 (36.0%)26 (38.2%)25 (34.7%)

Time of lesion duration before diagnosis

As shown in Table 5, the presence of the A148T CDKN2A polymorphism was more likely to be diagnosed in patients with pigmented skin lesions that run a shorter course (P=0.012) compared to melanoma patients without this variant. We found no association between common XPD, MC1R, VDR variants and duration of skin lesion prior to diagnosis.
Table 5

Association between gene polymorphisms and time of lesion duration

SNPGenotypeTime of lesion duration (months)P value
VDR M1TAA (n=28)8,88 ± 17,21-
GA (n=84)6,21 ± 12,01NS
GG (n=50)7,24 ± 14,01NS
XPD D312NCC (n=56)8,52 ± 15,38-
CT (n=51)7,30 ± 13,52NS
TT (n=46)5,26 ± 9,79NS
XPD K751QGG (n=24)7,46 ± 15,58-
GT (n=70)6,50 ± 12,39NS
TT (n=66)7,48 ± 14,39NS
MC1R R151C rs1805007CC (n=143)7,03 ± 14,04-
CT (n=17)8,03 ± 10,72NS
MC1R V60L rs1805005GG (n=138)6,70 ± 11,88-
GT (n=24)7,35 ± 18,34NS
MC1R R163Q rs885479GG (n=151)7,45 ± 14,03-
AG (n=13)2,85 ± 3,48NS
CDKN2A A148TPositive (n=7)0,79 ± 0,99-
Negative (n=157)7,34 ± 13,790,012

NS - Not Statistically Significant

Age at diagnosis and sex

There were no statistically significant differences in the mean age at diagnosis as well as sex between the subjects carrying the examined SNPs (data not shown).

Discussion

In the current study molecular analysis of 7 polymorphisms in 4 melanoma susceptibility genes showed a significant association between XPD D312N polymorphism and depth of invasion measured by Breslow thickness. Tumor thickness is considered the most important prognostic factor 13. Numerous studies demonstrated that Breslow thickness, of all histopathological parameters, presents the strongest correlation with survival rates 14. One potential mechanism to explain our findings could be that D312N polymorphism may result in protein folding modification and thus affect the protein function 15. The XPD gene plays an important role in the maintenance of genomic integrity by removing UV-light-induced DNA lesions 16. The XPD gene product is a DNA helicase involved in transcription, repair of DNA damage, cell cycle regulation and chromosome segregation 17, 18. Hereditary defects in the XPD gene can result in high susceptibility to carcinogenesis 17. Individual variations in XPD activity also may be a possible cancer risk factor. Several single nucleotide polymorphisms that induce amino acid changes have been described in XPD including codons 199 (Ile to Met), 201 (His to Tyr), 312 (Asp to Asn) and 751 (Lys to Gln) 19. The first two are quite rare in most populations, whereas polymorphism in codon 312 and 751 have been associated with p53 gene mutation and cancer risk 20. The XPD D312N polymorphism may result in the removal of the acidic moiety of aspartic acid, which can alter protein folding and interactions 19. The amino acid substitution could result in different enzyme activity and repair capacity. Thus, association between the XPD polymorphism and cancer risk as well as progression is biologically plausible. There are many reports indicating involvement of XPD gene polymorphisms in melanoma risk 7, 21. However, only two studies have investigated the association of this gene with cancer progression. Kertat et al. examined the codon 751 polymorphism at the XPD gene in 244 melanoma patients in the Swedish population 22. The authors found that heterozygous form (Lys/Gln) was more frequent in melanomas with Breslow thickness of >1.5 mm and the Clark levels III and IV, thus indicating a predictive role for XPD. The second investigation by Liu et al., conducted in 90 patients with stage IV melanoma failed to find an association between K751Q and prognostic variables and clinical outcomes 23. No data on XPD D312N polymorphism was provided in these two studies. Similarly to our results, additional investigations showed predictive value of XPD D312N polymorphism in patients with non-small cell lung cancer 24, 25. Another interesting observation rising from this study is that the presence of a CDKN2A A148T variant was more likely to be diagnosed in patients with shorter history of melanoma development compared to group without this polymorphism. The CDKN2A (OMIM 600160) is a tumor suppressor gene that encodes the p16 protein - a cyclin dependent kinase inhibitor and suppressor of cell proliferation 26. An alanine to threonine substitution at codon 148 (A148T) is a common variant of CDKN2A, which is present in approximately 3.5% of the general population in Poland and have been shown to predispose to melanoma 10. Reports assessing the association of A148T CDKN2A polymorphism with the p16 function are inconclusive. Some reports indicate that CDKN2A A148T variant do not alter protein function 27, whereas others studies show that the A148T variant is in strong linkage disequilibrium with a promoter polymorphism P493 and indirectly affects p16 function and reduces its expression 28. Nevertheless, A148T is considered a molecular risk factor for developing several malignancies such as melanoma, breast or lung cancer 28. Moreover, the loss of p16 expression in patients with vertical growth phase melanoma is associated with melanoma aggressiveness, increased tumor cell proliferation and reduced patient survival 29. Our observation that A148T CDKN2A polymorphism is related to shorter clinical onset is also of clinical relevance, particularly for its prognostic implications. However, additional studies are required to determine whether this particular polymorphism can be associated with melanoma progression. Genetic variants for the melanocortin-1 receptor (MC1R) gene have been found to be associated with the increased risk of melanoma development via pigmentary and non-pigmentary pathways 10, 30. All SNPs in MC1R that were examined in this study did not appear to correlate significantly with tumor progression markers. Our findings are consistent with a study by Taylor et al., who did not observe any association of MC1R genotypes with Breslow thickness, tumor site and age at first diagnosis 31. The major limitation in both studies is high polymorphism at the MC1R locus 32. The role of VDR polymorphisms and melanoma progression remains controversial. In accordance with previous studies 33, no correlation was found between VDR genotype and Breslow thickness. Some reports demonstrate VDR gene polymorphism association with outcome in melanoma patients 34. However, it remains necessary to determine that observed effects was related to impaired VDR protein function rather than decreased VDR expression or vitamin D deficiency. A limitation of our study is the relatively small samples size. Therefore, further studies taking into account heterogeneous nature of melanoma are required to confirm the findings and to better understand the role of genetic factors in cancer progression. In conclusion, our results suggest that the XPD D312N polymorphism demonstrated a significant association with tumor thickness and may be a prognostic marker.
  33 in total

Review 1.  ERCC2/XPD gene polymorphisms and cancer risk.

Authors:  Simone Benhamou; Alain Sarasin
Journal:  Mutagenesis       Date:  2002-11       Impact factor: 3.000

2.  Trends in incidence of thick, thin and in situ melanoma in Europe.

Authors:  L Sacchetto; R Zanetti; H Comber; C Bouchardy; D H Brewster; P Broganelli; M D Chirlaque; D Coza; J Galceran; A Gavin; M Hackl; A Katalinic; S Larønningen; M W J Louwman; E Morgan; T E Robsahm; M J Sanchez; L Tryggvadóttir; R Tumino; E Van Eycken; S Vernon; V Zadnik; S Rosso
Journal:  Eur J Cancer       Date:  2018-01-31       Impact factor: 9.162

3.  Effect of XPD/ERCC2 polymorphisms on chromosome aberration frequencies in smokers and on sensitivity to the mutagenic tobacco-specific nitrosamine NNK.

Authors:  Alessandra A Affatato; Kevin J Wolfe; Mirtha S Lopez; Csilla Hallberg; Marinel M Ammenheuser; Sherif Z Abdel-Rahman
Journal:  Environ Mol Mutagen       Date:  2004       Impact factor: 3.216

Review 4.  Role of XPD in cellular functions: To TFIIH and beyond.

Authors:  Bennett Van Houten; Jochen Kuper; Caroline Kisker
Journal:  DNA Repair (Amst)       Date:  2016-05-16

5.  Genetic test reporting of CDKN2A provides informational and motivational benefits for managing melanoma risk.

Authors:  Lisa G Aspinwall; Tammy K Stump; Jennifer M Taber; Danielle M Drummond; Wendy Kohlmann; Marjan Champine; Sancy A Leachman
Journal:  Transl Behav Med       Date:  2018-01-29       Impact factor: 3.046

6.  Melanoma staging: Evidence-based changes in the American Joint Committee on Cancer eighth edition cancer staging manual.

Authors:  Jeffrey E Gershenwald; Richard A Scolyer; Kenneth R Hess; Vernon K Sondak; Georgina V Long; Merrick I Ross; Alexander J Lazar; Mark B Faries; John M Kirkwood; Grant A McArthur; Lauren E Haydu; Alexander M M Eggermont; Keith T Flaherty; Charles M Balch; John F Thompson
Journal:  CA Cancer J Clin       Date:  2017-10-13       Impact factor: 508.702

7.  Polymorphisms in nucleotide excision repair genes and susceptibility to colorectal cancer in the Polish population.

Authors:  Katarzyna Paszkowska-Szczur; Rodney J Scott; Bohdan Górski; Cezary Cybulski; Grzegorz Kurzawski; Dagmara Dymerska; Satish Gupta; Thierry van de Wetering; Bartłomiej Masojć; Aniruddh Kashyap; Paulina Gapska; Tomasz Gromowski; Józef Kładny; Jan Lubiński; Tadeusz Dębniak
Journal:  Mol Biol Rep       Date:  2014-11-13       Impact factor: 2.316

8.  No prognostic value added by vitamin D pathway SNPs to current prognostic system for melanoma survival.

Authors:  Li Luo; Irene Orlow; Peter A Kanetsky; Nancy E Thomas; Shenying Fang; Jeffrey E Lee; Marianne Berwick; Ji-Hyun Lee
Journal:  PLoS One       Date:  2017-03-21       Impact factor: 3.240

Review 9.  Implications of Genetic and Epigenetic Alterations of CDKN2A (p16(INK4a)) in Cancer.

Authors:  Ran Zhao; Bu Young Choi; Mee-Hyun Lee; Ann M Bode; Zigang Dong
Journal:  EBioMedicine       Date:  2016-05-03       Impact factor: 8.143

Review 10.  XPD-The Lynchpin of NER: Molecule, Gene, Polymorphisms, and Role in Colorectal Carcinogenesis.

Authors:  Aga Syed Sameer; Saniya Nissar
Journal:  Front Mol Biosci       Date:  2018-03-20
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  1 in total

1.  CDKN2A Polymorphism in Melanoma Patients in Colombian Population: A Case-Control Study.

Authors:  Jose D Tovar-Parra; Luz D Gutiérrez-Castañeda; Sebastián R Gil-Quiñones; Jhon A Nova; Leonardo Pulido
Journal:  Biomed Res Int       Date:  2020-10-10       Impact factor: 3.411

  1 in total

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