The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis
BackgroundSingle 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 polym...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1094309/full |
| _version_ | 1797924463260467200 |
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| author | Lu Zhang Éva Pozsgai Yongan Song John Macharia Huda Alfatafta Jia Zheng Zhaoyi Li Hongbo Liu István Kiss |
| author_facet | Lu Zhang Éva Pozsgai Yongan Song John Macharia Huda Alfatafta Jia Zheng Zhaoyi Li Hongbo Liu István Kiss |
| author_sort | Lu Zhang |
| collection | DOAJ |
| description | BackgroundSingle 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.MethodsPubMed, 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.ResultsA 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.ConclusionsAccording 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. |
| first_indexed | 2024-04-10T15:02:50Z |
| format | Article |
| id | doaj.art-2fc5fc88359b408697fe6c65cb1c3428 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-10T15:02:50Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-2fc5fc88359b408697fe6c65cb1c34282023-02-15T09:43:23ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-02-011310.3389/fonc.2023.10943091094309The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysisLu Zhang0Éva Pozsgai1Yongan Song2John Macharia3Huda Alfatafta4Jia Zheng5Zhaoyi Li6Hongbo Liu7István Kiss8Department of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, HungaryDepartment of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, HungaryDepartment of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, HungaryDepartment of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, HungaryDepartment of Health Science, Doctoral School of Health Science, University of Pécs, Pécs, HungaryDepartment of Clinical Epidemiology, the Fourth Affiliated Hospital of China Medical University, Shenyang, ChinaFaculty of Engineering and Information Technology, University of Pécs, Pécs, HungaryDepartment of Health Statistics, School of Public Health, China Medical University, Shenyang, ChinaDepartment of Public Health Medicine, Doctoral School of Clinical Medicine, University of Pécs Medical School, Pécs, HungaryBackgroundSingle 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.MethodsPubMed, 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.ResultsA 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.ConclusionsAccording 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.https://www.frontiersin.org/articles/10.3389/fonc.2023.1094309/fullskin cancersingle-nucleotide polymorphismsnetwork meta-analysissystematic reviewmelanoma |
| spellingShingle | Lu Zhang Éva Pozsgai Yongan Song John Macharia Huda Alfatafta Jia Zheng Zhaoyi Li Hongbo Liu István Kiss The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis Frontiers in Oncology skin cancer single-nucleotide polymorphisms network meta-analysis systematic review melanoma |
| title | The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis |
| title_full | The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis |
| title_fullStr | The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis |
| title_full_unstemmed | The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis |
| title_short | The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis |
| title_sort | relationship between single nucleotide polymorphisms and skin cancer susceptibility a systematic review and network meta analysis |
| topic | skin cancer single-nucleotide polymorphisms network meta-analysis systematic review melanoma |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1094309/full |
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