1
|
Wallingford CK, Maas EJ, Howard A, DeBortoli E, Bhanja D, Lee K, Mothershaw A, Jagirdar K, Willett R, Betz-Stablein B, Sturm RA, Soyer HP, McInerney-Leo AM. MITF E318K: A rare homozygous case with multiple primary melanoma. Pigment Cell Melanoma Res 2024; 37:68-73. [PMID: 37635363 DOI: 10.1111/pcmr.13122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/26/2023] [Accepted: 08/16/2023] [Indexed: 08/29/2023]
Abstract
MITF E318K moderates melanoma risk. Only five MITF E318K homozygous cases have been reported to date, one in association with melanoma. This novel report uses 3D total-body-photography (TBP) to describe the dermatological phenotype of a homozygous MITF E318K individual. The case, a 32-year-old male, was diagnosed with his first of six primary melanomas at 26 years of age. Five melanomas were located on the back and one in the groin. Two were superficial spreading. Three arose from pre-existing naevi and one was a rare naevoid melanoma. 3D-TBP revealed a high naevus count (n = 162) with pigmentation varying from light to dark. Most naevi generally (n = 90), and large (>5 mm diameter) and clinically atypical naevi specifically were located on the back where sun damage was mild. In contrast, naevi count was low (n = 25 total) on the head/neck and lower limbs where sun damage was severe. Thus, melanoma location correlated with naevi density, rather than degree of sun damage. In addition to the MITF E318K homozygosity, there was heterozygosity for four other moderate-risk variants, which may contribute to melanoma risk. Further research is warranted to explore whether melanomas in E318K heterozygous and other homozygotes coincide with regions of high naevi density as opposed to sun damage. This could inform future melanoma screening/surveillance.
Collapse
Affiliation(s)
- Courtney K Wallingford
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Ellie J Maas
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Antonia Howard
- Graduate School of Health, University of Technology Sydney, Sydney, Australia
| | - Emily DeBortoli
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Graduate School of Health, University of Technology Sydney, Sydney, Australia
| | - Deboshmita Bhanja
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Katie Lee
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Adam Mothershaw
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Kasturee Jagirdar
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Biochemistry and Molecular Biology Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rod Willett
- Jimboomba Junction Family Practice and Skin Cancer Clinic, Jimboomba, Queensland, Australia
| | - Brigid Betz-Stablein
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - H Peter Soyer
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Aideen M McInerney-Leo
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| |
Collapse
|
2
|
Sepetiene R, Patamsyte V, Valiukevicius P, Gecyte E, Skipskis V, Gecys D, Stanioniene Z, Barakauskas S. Genetical Signature-An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice. J Pers Med 2023; 13:1305. [PMID: 37763073 PMCID: PMC10532532 DOI: 10.3390/jpm13091305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/29/2023] Open
Abstract
We conducted a research study to create the groundwork for personalized solutions within a skin aging segment. This test utilizes genetic and general laboratory data to predict individual susceptibility to weak skin characteristics, leveraging the research on genetic polymorphisms related to skin functional properties. A cross-sectional study was conducted in a collaboration between the Private Clinic Medicina Practica Laboratory (Vilnius, Lithuania) and the Public Institution Lithuanian University of Health Sciences (Kaunas, Lithuania). A total of 370 participants agreed to participate in the project. The median age of the respondents was 40, with a range of 19 to 74 years. After the literature search, we selected 15 polymorphisms of the genes related to skin aging, which were subsequently categorized in terms of different skin functions: SOD2 (rs4880), GPX1 (rs1050450), NQO1 (rs1800566), CAT (rs1001179), TYR (rs1126809), SLC45A2 (rs26722), SLC45A2 (rs16891982), MMP1 (rs1799750), ELN (rs7787362), COL1A1 (rs1800012), AHR (rs2066853), IL6 (rs1800795), IL1Beta (rs1143634), TNF-α (rs1800629), and AQP3 (rs17553719). RT genotyping, blood count, and immunochemistry results were analyzed using statistical methods. The obtained results show significant associations between genotyping models and routine blood screens. These findings demonstrate the personalized medicine approach for the aging segment and further add to the growing literature. Further investigation is warranted to fully understand the complex interplay between genetic factors, environmental influences, and skin aging.
Collapse
Affiliation(s)
- Ramune Sepetiene
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
- Abbott GmbH, Max-Planck-Ring 2, 65205 Wiesbaden, Germany
| | - Vaiva Patamsyte
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
| | - Paulius Valiukevicius
- Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus 9, LT-44307 Kaunas, Lithuania;
| | - Emilija Gecyte
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
| | - Vilius Skipskis
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
| | - Dovydas Gecys
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
| | - Zita Stanioniene
- Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania; (V.P.); (E.G.); (V.S.); (D.G.); (Z.S.)
| | - Svajunas Barakauskas
- LTD Medicina Practica Laboratorija, Laisves Pr. 78B, LT-05263 Vilnius, Lithuania;
| |
Collapse
|
3
|
Lavoro A, Falzone L, Tomasello B, Conti GN, Libra M, Candido S. In silico analysis of the solute carrier (SLC) family in cancer indicates a link among DNA methylation, metabolic adaptation, drug response, and immune reactivity. Front Pharmacol 2023; 14:1191262. [PMID: 37397501 PMCID: PMC10308049 DOI: 10.3389/fphar.2023.1191262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction: The oncogenic transformation is driven by genetic and epigenetic alterations influencing cancer cell fate. These alterations also result in metabolic reprogramming by modulating the expression of membrane Solute Carrier (SLC) transporters involved in biomolecules trafficking. SLCs act as tumor suppressors or promoters influencing cancer methylome, tumor growth, immune-escape, and chemoresistance. Methods: This in silico study aimed to identify the deregulated SLCs in various tumor types compared to normal tissues by analyzing the TCGA Target GTEx dataset. Furthermore, the relationship between SLCs expression and the most relevant tumor features was tackled along with their genetic regulation mediated by DNA methylation. Results: We identified 62 differentially expressed SLCs, including the downregulated SLC25A27 and SLC17A7, as well as the upregulated SLC27A2 and SLC12A8. Notably, SLC4A4 and SLC7A11 expression was associated with favorable and unfavorable outcome, respectively. Moreover, SLC6A14, SLC34A2, and SLC1A2 were linked to tumor immune responsiveness. Interestingly, SLC24A5 and SLC45A2 positively correlated with anti-MEK and anti-RAF sensitivity. The expression of relevant SLCs was correlated with hypo- and hyper-methylation of promoter and body region, showing an established DNA methylation pattern. Noteworthy, the positive association of cg06690548 (SLC7A11) methylation with cancer outcome suggests the independent predictive role of DNA methylation at a single nucleotide resolution. Discussion: Although our in silico overview revealed a wide heterogeneity depending on different SLCs functions and tumor types, we identified key SLCs and pointed out the role of DNA methylation as regulatory mechanism of their expression. Overall, these findings deserve further studies to identify novel cancer biomarkers and promising therapeutic targets.
Collapse
Affiliation(s)
- Alessandro Lavoro
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Luca Falzone
- Epidemiology Unit, IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Naples, Italy
| | - Barbara Tomasello
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Giuseppe Nicolò Conti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
| | - Saverio Candido
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
| |
Collapse
|
4
|
Zhang L, Pozsgai É, Song Y, Macharia J, Alfatafta H, Zheng J, Li Z, Liu H, Kiss I. The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis. Front Oncol 2023; 13:1094309. [PMID: 36874118 PMCID: PMC9975575 DOI: 10.3389/fonc.2023.1094309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/23/2023] [Indexed: 02/17/2023] Open
Abstract
Background Single nucleotide polymorphisms (SNPs) interfere with the function of certain genes and thus may influence the probability of skin cancer. The correlation between SNPs and skin cancer (SC) lacks statistical power, however. Therefore, the purpose of this study was to identify the gene polymorphisms involved in skin cancer susceptibility using network meta-analysis and to determine the relationship between SNPs and SC risk. Methods PubMed, Embase, and Web of Science were searched for articles including "SNP" and different types of SC as keywords between January 2005 and May 2022. The Newcastle-Ottawa Scale was used to assess bias judgments. The odds ratio (ORs) and their 95% confidence intervals (CIs) were determined to estimate heterogeneity within and between studies. Meta-analysis and network meta-analysis were carried out to identify the SNPs associated with SC. The P-score of each SNP was compared to obtain the rank of probability. Subgroup analyses were performed by cancer type. Results A total of 275 SNPs from 59 studies were included in the study. Two subgroup SNP networks using the allele model and dominant model were analyzed. The alternative alleles of rs2228570 (FokI) and rs13181 (ERCC2) were the first-ranking SNPs in both subgroups one and two of the allele model, respectively. The homozygous dominant genotype and heterozygous genotype of rs475007 in subgroup one and the homozygous recessive genotype of rs238406 in subgroup two were most likely to be associated with skin cancer based on the dominant model. Conclusions According to the allele model, SNPs FokI rs2228570 and ERCC2 rs13181 and, according to the dominant model, SNPs MMP1 rs475007 and ERCC2 rs238406 are closely linked to SC risk.
Collapse
Affiliation(s)
- Lu Zhang
- Department of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, Hungary
| | - Éva Pozsgai
- Department of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, Hungary
| | - Yongan Song
- Department of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, Hungary
| | - John Macharia
- Department of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, Hungary
| | - Huda Alfatafta
- Department of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, Hungary
| | - Jia Zheng
- Department of Clinical Epidemiology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Zhaoyi Li
- Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary
| | - Hongbo Liu
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China
| | - István Kiss
- Department of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, Hungary
| |
Collapse
|
5
|
Nataren N, Yamada M, Prow T. Molecular Skin Cancer Diagnosis: Promise and Limitations. J Mol Diagn 2023; 25:17-35. [PMID: 36243291 DOI: 10.1016/j.jmoldx.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/22/2022] Open
Abstract
Skin cancer is a significant and increasing global health burden. Although the current diagnostic workflow is robust and able to provide clinically actionable results, it is subject to notable limitations. The training and expertise required for accurate diagnoses using conventional skin cancer diagnostics are significant, and patient access to this workflow can be limited by geographic location or unforeseen events, such as coronavirus disease 2019 (COVID-19). Molecular biomarkers have transformed diagnostics and treatment delivery in oncology. With rapid advancements in molecular biology techniques, understanding of the underlying molecular mechanism of cancer pathologies has deepened, yielding biomarkers that can be used to monitor the course of malignant diseases. Herein, commercially available, clinically validated, and emerging skin cancer molecular biomarkers are reviewed. The qualities of an ideal molecular biomarker are defined. The potential benefits and limitations of applying molecular biomarker testing over the course of skin cancer from susceptibility to treatment are explored, with a view to outlining a future model of molecular biomarker skin cancer diagnostics.
Collapse
Affiliation(s)
- Nathalie Nataren
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Miko Yamada
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Tarl Prow
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia; Skin Research Centre, York Biomedical Research Institute, Hull York Medical School, University of York, York, United Kingdom.
| |
Collapse
|
6
|
Calbet‐Llopart N, Combalia M, Kiroglu A, Potrony M, Tell‐Martí G, Combalia A, Brugues A, Podlipnik S, Carrera C, Puig S, Malvehy J, Puig‐Butillé JA. Common genetic variants associated with melanoma risk or naevus count in patients with wildtype MC1R melanoma. Br J Dermatol 2022; 187:753-764. [PMID: 35701387 PMCID: PMC9804579 DOI: 10.1111/bjd.21707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/07/2022] [Accepted: 06/11/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Hypomorphic MC1R variants are the most prevalent genetic determinants of melanoma risk in the white population. However, the genetic background of patients with wildtype (WT) MC1R melanoma is poorly studied. OBJECTIVES To analyse the role of candidate common genetic variants on the melanoma risk and naevus count in Spanish patients with WT MC1R melanoma. METHODS We examined 753 individuals with WT MC1R from Spain (497 patients and 256 controls). We used OpenArray reverse-transcriptase polymerase chain reaction to genotype a panel of 221 common genetic variants involved in melanoma, naevogenesis, hormonal pathways and proinflammatory pathways. Genetic models were tested using multivariate logistic regression models. Nonparametric multifactor dimensionality reduction (MDR) was used to detect gene-gene interactions within each biological subgroup of variants. RESULTS We found that variant rs12913832 in the HERC2 gene, which is associated with blue eye colour, increased melanoma risk in individuals with WT MC1R [odds ratio (OR) 1·97, 95% confidence interval (CI) 1·48-2·63; adjusted P < 0·001; corrected P < 0·001]. We also observed a trend between the rs3798577 variant in the oestrogen receptor alpha gene (ESR1) and a lower naevus count, which was restricted to female patients with WT MC1R (OR 0·51, 95% CI 0·33-0·79; adjusted P = 0·002; corrected P = 0·11). This sex-dependent association was statistically significant in a larger cohort of patients with melanoma regardless of their MC1R status (n = 1497; OR 0·71, 95% CI 0·57-0·88; adjusted P = 0·002), reinforcing the hypothesis of an association between hormonal pathways and susceptibility to melanocytic proliferation. Last, the MDR analysis revealed four genetic combinations associated with melanoma risk or naevus count in patients with WT MC1R. CONCLUSIONS Our data suggest that epistatic interaction among common variants related to melanocyte biology or proinflammatory pathways might influence melanocytic proliferation in individuals with WT MC1R. What is already known about this topic? Genetic variants in the MC1R gene are the most prevalent melanoma genetic risk factor in the white population. Still, 20-40% of cases of melanoma occur in individuals with wildtype MC1R. Multiple genetic variants have a pleiotropic effect in melanoma and naevogenesis. Additional variants in unexplored pathways might also have a role in melanocytic proliferation in these patients. Epidemiological evidence suggests an association of melanocytic proliferation with hormonal pathways and proinflammatory pathways. What does this study add? Variant rs12913832 in the HERC2 gene, which is associated with blue eye colour, increases the melanoma risk in individuals with wildtype MC1R. Variant rs3798577 in the oestrogen receptor gene is associated with naevus count regardless of the MC1R status in female patients with melanoma. We report epistatic interactions among common genetic variants with a role in modulating the risk of melanoma or the number of naevi in individuals with wildtype MC1R. What is the translational message? We report a potential role of hormonal signalling pathways in melanocytic proliferation, providing a basis for better understanding of sex-based differences observed at the epidemiological level. We show that gene-gene interactions among common genetic variants might be responsible for an increased risk for melanoma development in individuals with a low-risk phenotype, such as darkly pigmented hair and skin.
Collapse
Affiliation(s)
- Neus Calbet‐Llopart
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Marc Combalia
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Anil Kiroglu
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Miriam Potrony
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain,Biochemistry and Molecular Genetics DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Gemma Tell‐Martí
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Andrea Combalia
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Albert Brugues
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Sebastian Podlipnik
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| | - Cristina Carrera
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Susana Puig
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Josep Malvehy
- Dermatology DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Joan Anton Puig‐Butillé
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIBarcelonaSpain,Molecular Biology CORE, Biochemistry and Molecular Genetics DepartmentMelanoma Group, Hospital Clínic de Barcelona, IDIBAPS, University of BarcelonaBarcelonaSpain
| |
Collapse
|
7
|
Truderung OAH, Sagi JC, Semsei AF, Szalai C. Melanoma susceptibility: an update on genetic and epigenetic findings. INTERNATIONAL JOURNAL OF MOLECULAR EPIDEMIOLOGY AND GENETICS 2021; 12:71-89. [PMID: 34853632 PMCID: PMC8611230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
Malignant melanoma is one of the most highly ranked cancers in terms of years of life lost. Hereditary melanoma with its increased familial susceptibility is thought to affect up to 12% of all melanoma patients. In the past, only a few high-penetrance genes associated with familial melanoma, such as CDKN2A and CDK4, have been clinically tested. However, findings now indicate that melanoma is a cancer most likely to develop not only due to high-penetrance variants but also due to polygenic inheritance patterns, leaving no clear division between the hereditary and sporadic development of malignant melanoma. Various pathogenic low-penetrance variants were recently discovered through genome-wide association studies, and are now translated into polygenic risk scores. These can show superior sensitivity rates for the prediction of melanoma susceptibility and related mixed cancer syndromes than risk scores based on phenotypic traits of the patients, with odds ratios of up to 5.7 for patients in risk groups. In addition to describing genetic findings, we also review the first results of epigenetic research showing constitutional methylation changes that alter the susceptibility to cutaneous melanoma and its risk factors.
Collapse
Affiliation(s)
- Ole AH Truderung
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Judit C Sagi
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Agnes F Semsei
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Csaba Szalai
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
- Heim Pal Children’s HospitalH-1089 Budapest, Hungary
| |
Collapse
|
8
|
Wang Y. Association of pigmentation related-genes polymorphisms and geographic environmental variables in the Chinese population. Hereditas 2021; 158:24. [PMID: 34238381 PMCID: PMC8268332 DOI: 10.1186/s41065-021-00189-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 06/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background Human skin color is highly heritable and one of the most variable phenotypic traits. However, the genetic causes and environmental selective pressures underlying this phenotypic variation have remained largely unknown. To investigate whether the pigmentation related-genes polymorphisms are associated with the geographic environmental variables. We selected randomly 795 healthy individuals from eight ethnic groups in nine provinces in China. Six single nucleotide polymorphisms (SNPs) of SLC45A2 and TYR were genotyped using Agena MassARRAY. The Chi-square test and Spearman correlation analysis were used to compare the frequency distribution of genotypes among different ethnic groups and evaluate the relationship between SNP genetic diversity and environmental variables, respectively. Results The results indicated that rs28777 and rs183671 (SLC45A2) and rs1042602 (TYR) genotype frequency distributions were significantly different between the Xinjiang-Uighur and other ethnic groups (P < 0.05). Spearman correlation analysis found that rs28777-A (r = − 0.090, P = 0.011), rs183671-G (r = − 0.105, P = 0.003), rs1042602-A (r = − 0.108, P = 0.002), rs1126809-A (r = − 0.151, P < 0.001) allele frequencies were negatively correlated with the longitude; rs183671-G (r = 0.151), rs1042602-A (r = 0.157) and rs1126809-A (r = 0.138) allele frequencies were positively associated with the latitude (P < 0.001); rs183671-G (r = 0.116, P = 0.001), rs1042602-A (r = 0.105, P = 0.003) and rs1126809-A (r = 0.070, P = 0.048) allele frequencies were positively correlated with the sunshine hours; rs183671-G (r = − 0.076, P = 0.033), rs1042602-A (r = − 0.079, P = 0.027) and rs1126809-A (r = − 0.076, P = 0.031) were negatively correlated with the annual average temperature. Conclusions Our results confirmed the idea that environmental factors have been an important selective pressure upon pigmentation related gene polymorphisms. Supplementary Information The online version contains supplementary material available at 10.1186/s41065-021-00189-7.
Collapse
Affiliation(s)
- Yuxin Wang
- Queen Mary School, Nanchang University, 461 Bayi Road, Nanchang, 330006, Jiangxi, China.
| |
Collapse
|