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Ingold N, Seviiri M, Ong JS, Neale RE, Pandeya N, Whiteman DC, Olsen CM, Martin NG, Duffy DL, Khosrotehrani K, Hayward N, Montgomery GW, MacGregor S, Law MH. Exploring the Germline Genetics of In Situ and Invasive Cutaneous Melanoma: A Genome-Wide Association Study Meta-Analysis. JAMA Dermatol 2024:2822461. [PMID: 39141363 PMCID: PMC11325244 DOI: 10.1001/jamadermatol.2024.2601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Importance It is unknown whether germline genetic factors influence in situ melanoma risk differently than invasive melanoma risk. Objective To determine whether differences in risk of in situ melanoma and invasive melanoma are heritable. Design, Setting, and Participants Three genome-wide association study meta-analyses were conducted of in situ melanoma vs controls, invasive melanoma vs controls, and in situ vs invasive melanoma (case-case) using 4 population-based genetic cohorts: the UK Biobank, the FinnGen cohort, the QSkin Sun and Health Study, and the Queensland Study of Melanoma: Environmental and Genetic Associations (Q-MEGA). Melanoma status was determined using International Statistical Classification of Diseases and Related Health Problems codes from cancer registry data. Data were collected from 1987 to 2022, and data were analyzed from September 2022 to June 2023. Exposure In situ and invasive cutaneous melanoma. Main Outcomes and Measures To test whether in situ and invasive melanoma have independent heritable components, genetic effect estimates were calculated for single-nucleotide variants (SNV; formerly single-nucleotide polymorphisms) throughout the genome for each melanoma. Then, SNV-based heritability was estimated, the genetic correlation between melanoma subtypes was assessed, and polygenic risk scores (PRS) were generated for in situ vs invasive status in Q-MEGA participants. Results A total of 6 genome-wide significant loci associated with in situ melanoma and 18 loci with invasive melanoma were identified. A strong genetic correlation (genetic r = 0.96; 95% CI, 0.76-1.15) was observed between the 2 classifications. Notably, loci near IRF4, KLF4, and HULC had significantly larger effects for in situ melanoma compared with invasive melanoma, while MC1R had a significantly larger effect on invasive melanoma compared with in situ melanoma. Heritability estimates were consistent for both, with in situ melanoma heritability of 6.7% (95% CI, 4.1-9.3) and invasive melanoma heritability of 4.9% (95% CI, 2.8-7.2). Finally, a PRS, derived from comparing invasive melanoma with in situ melanoma genetic risk, was on average significantly higher in participants with invasive melanoma (odds ratio per 1-SD increase in PRS, 1.43; 95% CI, 1.16-1.77). Conclusions and Relevance There is much shared genetic architecture between in situ melanoma and invasive melanoma. Despite indistinguishable heritability estimates between the melanoma classifications, PRS suggest germline genetics may influence whether a person gets in situ melanoma or invasive melanoma. PRS could potentially help stratify populations based on invasive melanoma risk, informing future screening programs without exacerbating the current burden of melanoma overdiagnosis.
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Affiliation(s)
- Nathan Ingold
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Mathias Seviiri
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Jue Sheng Ong
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Nirmala Pandeya
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - David C Whiteman
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Catherine M Olsen
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - David L Duffy
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Kiarash Khosrotehrani
- The University of Queensland, Frazer Institute, Experimental Dermatology Group, Dermatology Research Centre, Woolloongabba, Australia
| | - Nicholas Hayward
- Oncogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Science, The University of Queensland, St Lucia, Australia
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Sobhiafshar U, Çakici B, Yilmaz E, Yildiz Ayhan N, Hedaya L, Ayhan MC, Yerinde C, Alankuş YB, Gürkaşlar HK, Firat-Karalar EN, Emre NCT. Interferon regulatory factor 4 modulates epigenetic silencing and cancer-critical pathways in melanoma cells. Mol Oncol 2024. [PMID: 38880659 DOI: 10.1002/1878-0261.13672] [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: 08/17/2023] [Revised: 04/14/2024] [Accepted: 05/22/2024] [Indexed: 06/18/2024] Open
Abstract
Interferon regulatory factor 4 (IRF4) was initially identified as a key controller in lymphocyte differentiation and function, and subsequently as a dependency factor and therapy target in lymphocyte-derived cancers. In melanocytes, IRF4 takes part in pigmentation. Although genetic studies have implicated IRF4 in melanoma, how IRF4 functions in melanoma cells has remained largely elusive. Here, we confirmed prevalent IRF4 expression in melanoma and showed that high expression is linked to dependency in cells and mortality in patients. Analysis of genes activated by IRF4 uncovered, as a novel target category, epigenetic silencing factors involved in DNA methylation (DNMT1, DNMT3B, UHRF1) and histone H3K27 methylation (EZH2). Consequently, we show that IRF4 controls the expression of tumour suppressor genes known to be silenced by these epigenetic modifications, for instance cyclin-dependent kinase inhibitors CDKN1A and CDKN1B, the PI3-AKT pathway regulator PTEN, and primary cilium components. Furthermore, IRF4 modulates activity of key downstream oncogenic pathways, such as WNT/β-catenin and AKT, impacting cell proliferation and survival. Accordingly, IRF4 modifies the effectiveness of pertinent epigenetic drugs on melanoma cells, a finding that encourages further studies towards therapeutic targeting of IRF4 in melanoma.
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Affiliation(s)
- Ulduz Sobhiafshar
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Betül Çakici
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Erdem Yilmaz
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Nalan Yildiz Ayhan
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Laila Hedaya
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Mustafa Can Ayhan
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | - Cansu Yerinde
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
| | | | - H Kübra Gürkaşlar
- Department of Molecular Biology and Genetics, Koç University, Istanbul, Turkey
| | | | - N C Tolga Emre
- Department of Molecular Biology and Genetics, Boğaziçi University, Istanbul, Turkey
- Center for Life Sciences and Technologies, Boğaziçi University, Istanbul, Turkey
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3
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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.
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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
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4
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Byun J, Han Y, Li Y, Xia J, Long E, Choi J, Xiao X, Zhu M, Zhou W, Sun R, Bossé Y, Song Z, Schwartz A, Lusk C, Rafnar T, Stefansson K, Zhang T, Zhao W, Pettit RW, Liu Y, Li X, Zhou H, Walsh KM, Gorlov I, Gorlova O, Zhu D, Rosenberg SM, Pinney S, Bailey-Wilson JE, Mandal D, de Andrade M, Gaba C, Willey JC, You M, Anderson M, Wiencke JK, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojeson S, Brenner H, Landi MT, Chanock SJ, Johansson M, Muley T, Risch A, Wichmann HE, Bickeböller H, Christiani DC, Rennert G, Arnold S, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Andrew AS, Kiemeney LA, Shen H, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Patel A, Lan Q, Rothman N, Taylor F, Kachuri L, Witte JS, Sakoda LC, Spitz M, Brennan P, Lin X, McKay J, Hung RJ, Amos CI. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet 2022; 54:1167-1177. [PMID: 35915169 PMCID: PMC9373844 DOI: 10.1038/s41588-022-01115-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 05/27/2022] [Indexed: 02/03/2023]
Abstract
To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity. Fine-mapping and expression quantitative trait locus colocalization nominated several candidate variants and susceptibility genes such as IRF4 and FUBP1. DNA damage assays of prioritized genes in lung fibroblasts indicated that a subset of these genes, including the pleiotropic gene IRF4, potentially exert effects by promoting endogenous DNA damage.
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Affiliation(s)
- Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Jun Xia
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | - Wen Zhou
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Zhuoyi Song
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Ann Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | - Christine Lusk
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | | | | | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rowland W Pettit
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihao Li
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Hufeng Zhou
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Dakai Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Susan M Rosenberg
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Susan Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Colette Gaba
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - James C Willey
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - Ming You
- Center for Cancer Prevention, Houston Methodist Research Institute, Houston, TX, USA
| | | | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephan Lam
- Department of Integrative Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Stig Bojeson
- Department of Clinical Biochemistry, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Thomas Muley
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Angela Risch
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - David C Christiani
- Department of Epidemiology, Harvard T.H.Chan School of Public Health, Boston, MA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, KY, USA
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay Shete
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alpa Patel
- American Cancer Society, Atlanta, GA, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Margaret Spitz
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xihong Lin
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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Association of Melanoma-Risk Variants with Primary Melanoma Tumor Prognostic Characteristics and Melanoma-Specific Survival in the GEM Study. Curr Oncol 2021; 28:4756-4771. [PMID: 34898573 PMCID: PMC8628692 DOI: 10.3390/curroncol28060401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/11/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
Genome-wide association studies (GWAS) and candidate pathway studies have identified low-penetrant genetic variants associated with cutaneous melanoma. We investigated the association of melanoma-risk variants with primary melanoma tumor prognostic characteristics and melanoma-specific survival. The Genes, Environment, and Melanoma Study enrolled 3285 European origin participants with incident invasive primary melanoma. For each of 47 melanoma-risk single nucleotide polymorphisms (SNPs), we used linear and logistic regression modeling to estimate, respectively, the per allele mean changes in log of Breslow thickness and odds ratios for presence of ulceration, mitoses, and tumor-infiltrating lymphocytes (TILs). We also used Cox proportional hazards regression modeling to estimate the per allele hazard ratios for melanoma-specific survival. Passing the false discovery threshold (p = 0.0026) were associations of IRF4 rs12203592 and CCND1 rs1485993 with log of Breslow thickness, and association of TERT rs2242652 with presence of mitoses. IRF4 rs12203592 also had nominal associations (p < 0.05) with presence of mitoses and melanoma-specific survival, as well as a borderline association (p = 0.07) with ulceration. CCND1 rs1485993 also had a borderline association with presence of mitoses (p = 0.06). MX2 rs45430 had nominal associations with log of Breslow thickness, presence of mitoses, and melanoma-specific survival. Our study indicates that further research investigating the associations of these genetic variants with underlying biologic pathways related to tumor progression is warranted.
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Podlipnik S, Potrony M, Puig S. Genetic markers for characterization and prediction of prognosis of melanoma subtypes: a 2021 update. Ital J Dermatol Venerol 2021; 156:322-330. [PMID: 33982545 DOI: 10.23736/s2784-8671.21.06957-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In this article we examined the most important genetic markers involved in melanoma susceptibility, initiation and progression, and their impact on the prognosis of the disease. Current knowledge in melanoma genetics identifies distinct pathways to the development of different melanoma subtypes characterized by specific clinico-pathological features and partially known genetic markers, modulated by high, low or absence of cumulative sun damage. The most prevalent somatic mutations are related to the activation of the MAPK pathway, which are classified into four major subtypes: BRAF mutant, NRAS mutant, NF1 mutant and triple wild type. Moreover, germinal mutations are also involved in the characterization and predictions of prognosis in melanoma. Currently, CDKN2A is seen as the main high-risk gene involved in melanoma susceptibility being mutated in around 20% of melanoma-prone families. Other high-risk susceptibility genes described include CDK4, POT1, BAP1, TERT promoter, ACD, and TERF2IP. Melanoma is one of the most genetically predisposed among all cancers in humans, and ultraviolet light from the sun is the main environmental factor. This genetic predisposition is starting to be understood, impacting not only on the risk of developing melanoma but also on the risk of developing other types of cancer, as well as on the prognosis of the disease.
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Affiliation(s)
- Sebastian Podlipnik
- Department of Dermatology, University of Barcelona, Hospital of Barcelona, Barcelona, Spain.,Unit of Melanoma, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Miriam Potrony
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain.,Department of Biochemistry and Molecular Genetics, Hospital of Barcelona, Barcelona, Spain
| | - Susana Puig
- Department of Dermatology, University of Barcelona, Hospital of Barcelona, Barcelona, Spain - .,Unit of Melanoma, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain
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7
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Li Y, Shi P, Jiang D. Polymorphism rs1801516 (G > A) in the ATM gene is not associated with overall cancer risk: an updated meta-analysis. J Int Med Res 2020; 48:300060520937618. [PMID: 32674635 PMCID: PMC7370572 DOI: 10.1177/0300060520937618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 06/06/2020] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE The ataxia telangiectasia mutated (ATM) gene contains a functional single nucleotide polymorphism (SNP) rs1801516 (G > A) that may be associated with cancer risk. This meta-analysis aimed to interrogate the relationship between rs1801516 and cancer occurrence and disease etiology. METHODS We retrieved and identified the available case-control studies that met the inclusion criteria from the PubMed, Web of Science, and Embase databases. Odds ratio (OR) and 95% confidence intervals (CIs) were used to measure the association between rs1801516 and cancer risk. Additionally, we performed sensitivity, subgroup, and publication bias analyses. RESULTS After inclusion criteria were met, the meta-analysis included 29 studies, with 9,453 cancer patients (cases) and 14,646 controls. No association was found between rs1801516 and cancer risk (pooled OR = 0.911; 95% CI, 0.740-1.123). Concordantly, no association was found between rs1801516 and cancer risk after subgroup analysis by source of controls, cancer type, or ethnicity, which confirmed the finding of the dominant model that this SNP is not involved in the occurrence of cancer. CONCLUSIONS Through this meta-analysis, we found no association between rs1801516 and cancer occurrence as a risk factor. These data provide useful information for future case-control studies on cancer etiology.
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Affiliation(s)
- Yueting Li
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Pengxu Shi
- Department of Bone Surgery, People’s Hospital of Liaoning Province, Shenyang, Liaoning Province, P.R. China
| | - Daqing Jiang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, Liaoning Province, P.R. China
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8
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González-Reymúndez A, Vázquez AI. Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin. Sci Rep 2020; 10:8341. [PMID: 32433524 PMCID: PMC7239905 DOI: 10.1038/s41598-020-65119-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 04/07/2020] [Indexed: 02/08/2023] Open
Abstract
Despite recent advances in treatment, cancer continues to be one of the most lethal human maladies. One of the challenges of cancer treatment is the diversity among similar tumors that exhibit different clinical outcomes. Most of this variability comes from wide-spread molecular alterations that can be summarized by omic integration. Here, we have identified eight novel tumor groups (C1-8) via omic integration, characterized by unique cancer signatures and clinical characteristics. C3 had the best clinical outcomes, while C2 and C5 had poorest. C1, C7, and C8 were upregulated for cellular and mitochondrial translation, and relatively low proliferation. C6 and C4 were also downregulated for cellular and mitochondrial translation, and had high proliferation rates. C4 was represented by copy losses on chromosome 6, and had the highest number of metastatic samples. C8 was characterized by copy losses on chromosome 11, having also the lowest lymphocytic infiltration rate. C6 had the lowest natural killer infiltration rate and was represented by copy gains of genes in chromosome 11. C7 was represented by copy gains on chromosome 6, and had the highest upregulation in mitochondrial translation. We believe that, since molecularly alike tumors could respond similarly to treatment, our results could inform therapeutic action.
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Affiliation(s)
- Agustín González-Reymúndez
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
- Institute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA
| | - Ana I Vázquez
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.
- Institute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.
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9
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Landi MT, Bishop DT, MacGregor S, Machiela MJ, Stratigos AJ, Ghiorzo P, Brossard M, Calista D, Choi J, Fargnoli MC, Zhang T, Rodolfo M, Trower AJ, Menin C, Martinez J, Hadjisavvas A, Song L, Stefanaki I, Scolyer R, Yang R, Goldstein AM, Potrony M, Kypreou KP, Pastorino L, Queirolo P, Pellegrini C, Cattaneo L, Zawistowski M, Gimenez-Xavier P, Rodriguez A, Elefanti L, Manoukian S, Rivoltini L, Smith BH, Loizidou MA, Del Regno L, Massi D, Mandala M, Khosrotehrani K, Akslen LA, Amos CI, Andresen PA, Avril MF, Azizi E, Soyer HP, Bataille V, Dalmasso B, Bowdler LM, Burdon KP, Chen WV, Codd V, Craig JE, Dębniak T, Falchi M, Fang S, Friedman E, Simi S, Galan P, Garcia-Casado Z, Gillanders EM, Gordon S, Green A, Gruis NA, Hansson J, Harland M, Harris J, Helsing P, Henders A, Hočevar M, Höiom V, Hunter D, Ingvar C, Kumar R, Lang J, Lathrop GM, Lee JE, Li X, Lubiński J, Mackie RM, Malt M, Malvehy J, McAloney K, Mohamdi H, Molven A, Moses EK, Neale RE, Novaković S, Nyholt DR, Olsson H, Orr N, Fritsche LG, Puig-Butille JA, Qureshi AA, Radford-Smith GL, Randerson-Moor J, Requena C, Rowe C, Samani NJ, Sanna M, Schadendorf D, Schulze HJ, Simms LA, Smithers M, Song F, Swerdlow AJ, van der Stoep N, Kukutsch NA, Visconti A, Wallace L, Ward SV, Wheeler L, Sturm RA, Hutchinson A, Jones K, Malasky M, Vogt A, Zhou W, Pooley KA, Elder DE, Han J, Hicks B, Hayward NK, Kanetsky PA, Brummett C, Montgomery GW, Olsen CM, Hayward C, Dunning AM, Martin NG, Evangelou E, Mann GJ, Long G, Pharoah PDP, Easton DF, Barrett JH, Cust AE, Abecasis G, Duffy DL, Whiteman DC, Gogas H, De Nicolo A, Tucker MA, Newton-Bishop JA, Peris K, Chanock SJ, Demenais F, Brown KM, Puig S, Nagore E, Shi J, Iles MM, Law MH. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility. Nat Genet 2020; 52:494-504. [PMID: 32341527 PMCID: PMC7255059 DOI: 10.1038/s41588-020-0611-8] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 03/09/2020] [Indexed: 12/17/2022]
Abstract
Most genetic susceptibility to cutaneous melanoma remains to be discovered. Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 × 10-8) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and host factors suggests the acral melanoma subtype is uniquely unrelated to pigmentation. Combining this meta-analysis with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 potential secondary loci for a total of 85 cutaneous melanoma susceptibility loci. These findings provide insights into cutaneous melanoma genetic architecture, reinforcing the importance of nevogenesis, pigmentation and telomere maintenance, together with identifying potential new pathways for cutaneous melanoma pathogenesis.
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Affiliation(s)
- Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alexander J Stratigos
- Department of Dermatology, Andreas Syggros Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Paola Ghiorzo
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Myriam Brossard
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Donato Calista
- Department of Dermatology, Maurizio Bufalini Hospital, Cesena, Italy
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Concetta Fargnoli
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Monica Rodolfo
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Adam J Trower
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Chiara Menin
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Andreas Hadjisavvas
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene Stefanaki
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Richard Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
- Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- New South Wales Health Pathology, Sydney, New South Wales, Australia
| | - Rose Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Miriam Potrony
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Katerina P Kypreou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Lorenza Pastorino
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Paola Queirolo
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristina Pellegrini
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Laura Cattaneo
- Pathology Unit, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pol Gimenez-Xavier
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Arantxa Rodriguez
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Lisa Elefanti
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Licia Rivoltini
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Maria A Loizidou
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Laura Del Regno
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Daniela Massi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Mario Mandala
- Department of Oncology, Giovanni XXIII Hospital, Bergamo, Italy
| | - Kiarash Khosrotehrani
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Christopher I Amos
- Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Per A Andresen
- Department of Pathology, Molecular Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Marie-Françoise Avril
- Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Service de Dermatologie, Université Paris Descartes, Paris, France
| | - Esther Azizi
- Department of Dermatology, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv, Israel
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Peter Soyer
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Bruna Dalmasso
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Lisa M Bowdler
- Sample Processing, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Wei V Chen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Tadeusz Dębniak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eitan Friedman
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sarah Simi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Pilar Galan
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Institut National de la Santé et de la Recherche Médicale (INSERM U1153), Institut National de la Recherche Agronomique (INRA U1125), Conservatoire National des Arts et Métiers, Communauté d'Université Sorbonne Paris Cité, Bobigny, France
| | - Zaida Garcia-Casado
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Elizabeth M Gillanders
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Adele Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- CRUK Manchester Institute, Institute of Inflammation and Repair, University of Manchester, Manchester, UK
| | - Nelleke A Gruis
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Johan Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Mark Harland
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Jessica Harris
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Per Helsing
- Department of Dermatology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Anjali Henders
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Marko Hočevar
- Department of Surgical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Veronica Höiom
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - David Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, Lund, Sweden
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Julie Lang
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
| | - G Mark Lathrop
- McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Jan Lubiński
- International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Rona M Mackie
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
- Department of Public Health, University of Glasgow, Glasgow, UK
| | - Maryrose Malt
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Josep Malvehy
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Kerrie McAloney
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamida Mohamdi
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Anders Molven
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Eric K Moses
- Centre for Genetic Origins of Health and Disease, Faculty of Medicine, Dentistry and Health Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Rachel E Neale
- Cancer Aetiology & Prevention, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Srdjan Novaković
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Dale R Nyholt
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Håkan Olsson
- Department of Oncology/Pathology, Clinical Sciences, Lund University, Lund, Sweden
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nicholas Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Lars G Fritsche
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Joan Anton Puig-Butille
- Biochemistry and Molecular Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona,CIBERER, Barcelona, Spain
| | - Abrar A Qureshi
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Graham L Radford-Smith
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Department of Gastroenterology and Hepatology, Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia
- University of Queensland School of Medicine, Herston Campus, Brisbane, Queensland, Australia
| | | | - Celia Requena
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Casey Rowe
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Marianna Sanna
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany
- German Consortium Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Hans-Joachim Schulze
- Department of Dermatology, Fachklinik Hornheide, Institute for Tumors of the Skin, University of Münster, Münster, Germany
| | - Lisa A Simms
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mark Smithers
- Queensland Melanoma Project, Princess Alexandra Hospital, The University of Queensland, St Lucia, Queensland, Australia
- Mater Research Institute, The University of Queensland, St Lucia, Queensland, Australia
| | - Fengju Song
- Departments of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P. R. China
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Nienke van der Stoep
- Department of Clinical Genetics, Center of Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Nicole A Kukutsch
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Alessia Visconti
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Leanne Wallace
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah V Ward
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lawrie Wheeler
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Michael Malasky
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Aurelie Vogt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Karen A Pooley
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - David E Elder
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Nicholas K Hayward
- Oncogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Chad Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Catherine M Olsen
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Graham J Mann
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Centre for Cancer Research, Westmead Institute for Medical Research, Sydney, Australia
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Georgina Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Anne E Cust
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, Sydney, Australia
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - David L Duffy
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - David C Whiteman
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Helen Gogas
- First Department of Internal Medicine, Laikon General Hospital Greece, National and Kapodistrian University of Athens, Athens, Greece
| | - Arcangela De Nicolo
- Cancer Genomics Program, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Ketty Peris
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Florence Demenais
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
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10
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Inherited Melanoma Risk Variants Associated with Histopathologically Amelanotic Melanoma. J Invest Dermatol 2019; 140:918-922.e7. [PMID: 31568773 DOI: 10.1016/j.jid.2019.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 01/26/2023]
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11
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Gu Y, Shi J, Qiu S, Qiao Y, Zhang X, Cheng Y, Liu Y. Association between ATM rs1801516 polymorphism and cancer susceptibility: a meta-analysis involving 12,879 cases and 18,054 controls. BMC Cancer 2018; 18:1060. [PMID: 30384829 PMCID: PMC6211574 DOI: 10.1186/s12885-018-4941-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 10/11/2018] [Indexed: 01/07/2023] Open
Abstract
Background Ataxia telangiectasia mutated (ATM) gene plays a key role in response to DNA lesions and is related to the invasion and metastasis of malignancy. Epidemiological studies have indicated associations between ATM rs1801516 polymorphism and different types of cancer, but their results are inconsistent. To further evaluate the effect of ATM rs1801516 polymorphism on cancer risk, we conducted this meta-analysis. Methods Studies were identified according to specific inclusion criteria by searching PubMed, Web of Science, and Embase databases. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) under recessive, dominant, codominant, and overdominant models of inheritance were calculated to estimate the association between rs1801516 polymorphism and cancer risk. Results A total of 37 studies with 12,879 cases and 18,054 controls were included in our study. No significant association was found between rs1801516 polymorphism and cancer risk in overall comparisons (AA vs GG + GA: OR = 0.91, 95% CI, 0.78–1.07; AA+GA vs GG: OR = 1.00, 95% CI, 0.90–1.11; AA vs GG: OR = 0.89, 95% CI, 0.75–1.06; GA vs GG: OR = 1.01, 95% CI, 0.91–1.13; GG + AA vs GA: OR = 1.00, 95% CI, 0.88–1.10). However, after subgroup analyses by region-specified population, significant associations were found in European (AA vs GG + GA: OR = 0.79, 95% CI, 0.65–0.96, P = 0.017; AA vs GG: OR = 0.79, 95% CI, 0.65–0.96, P = 0.017), South American (AA+GA vs GG: OR = 2.15, 95% CI, 1.37–3.38, P = 0.001; GA vs GG: OR = 2.19, 95% CI, 1.38–3.47, P = 0.001; GG + AA vs GA: OR = 0.46, 95% CI, 0.29–0.72, P = 0.001), and Asian (AA vs GG + GA: OR = 7.45, 95% CI, 1.31–42.46, P = 0.024; AA vs GG: OR = 7.40, 95% CI, 1.30–42.19, P = 0.024). Subgroup analyses also revealed that compared with subjects carrying a GG genotype, those carrying a homozygote AA had a decreased risk for breast cancer (AA vs GG: OR = 0.76, 95% CI, 0.59–0.98, P = 0.035), and the homozygote AA was associated with decreased cancer risk in subjects with family history (AA vs GG: OR = 0.68, 95% CI, 0.47–0.98, P = 0.039). Conclusions ATM rs1801516 polymorphism is not associated with overall cancer risk in total population. However, for subgroup analyses, this polymorphism is especially associated with breast cancer risk; in addition, it is associated with overall cancer risk in Europeans, South Americans, Asians, and those with family history. Electronic supplementary material The online version of this article (10.1186/s12885-018-4941-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yulu Gu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Jikang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Shuang Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Yichun Qiao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Xin Zhang
- Department of Pharmacy, First Hospital of Jilin University, Changchun, 130021, China
| | - Yi Cheng
- Department of Cardiovascular Center, First Hospital of Jilin University, Changchun, 130021, China
| | - Yawen Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
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12
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Hernando B, Sanz-Page E, Pitarch G, Mahiques L, Valcuende-Cavero F, Martinez-Cadenas C. Genetic variants associated with skin photosensitivity in a southern European population from Spain. PHOTODERMATOLOGY PHOTOIMMUNOLOGY & PHOTOMEDICINE 2018; 34:415-422. [PMID: 29974532 DOI: 10.1111/phpp.12412] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/04/2018] [Accepted: 06/29/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND/PURPOSE Recent GWAS studies, mostly performed in populations of North European origin, have identified the genetic loci associated with pigmentation, sun sensitivity, freckling and skin cancer susceptibility. Here, we aimed at addressing the genetic determinants of sunlight sensitivity in Spain, a southern European population. METHODS Nine SNPs located in 8 pigmentation-related genes (IRF4, TYR, ASP, HERC2, OCA2, BNC2, SLC24A4 and SLC45A2) were genotyped in 456 Spaniards. Additionally, the complete sequence of the MC1R gene was obtained, testing each nonsynonymous mutation supported by the classification as R or r alleles. A standardised questionnaire was used to collect demographic characteristics, pigmentation and sun sensitivity traits, as well as sun exposure habits. RESULTS MC1R R alleles and IRF4 rs12203592 were significantly associated with sunlight sensitivity at the Bonferroni-corrected level (P-value < 4.54 × 10-3 ). Genetic variants in SLC45A2 (rs16891982) and HERC2 (rs12913832) were also found to be significantly associated with skin photosensitivity in our Spanish sample. Interaction analysis using the MDR method revealed epistatic effects when these four variants were considered together. CONCLUSION MC1R, IRF4, HERC2 and SLC45A2 play a significant role in skin sensitivity to sunlight in the Spanish population. Moreover, interaction among these four loci seems to modulate the ability of the skin to respond to UV radiation.
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Affiliation(s)
- Barbara Hernando
- Department of Medicine, Jaume I University of Castellon, Castellon, Spain
| | - Elena Sanz-Page
- Department of Medicine, Jaume I University of Castellon, Castellon, Spain
| | - Gerard Pitarch
- Department of Dermatology, Castellon University General Hospital, Castellon, Spain
| | - Laura Mahiques
- Department of Dermatology, Castellon University General Hospital, Castellon, Spain
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13
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Zhao Y, Yang L, Wu D, He H, Wang M, Ge T, Liu Y, Tian H, Cui J, Jia L, Wan Z, Han F. Gene-environment interaction for polymorphisms in ataxia telangiectasia-mutated gene and radiation exposure in carcinogenesis: results from two literature-based meta-analyses of 27120 participants. Oncotarget 2018; 7:76867-76881. [PMID: 27764772 PMCID: PMC5363555 DOI: 10.18632/oncotarget.12724] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 10/12/2016] [Indexed: 01/02/2023] Open
Abstract
Purpose We conducted two meta-analyses of ATM genetic polymorphisms and cancer risk in individuals with or without radiation exposure to determine whether there was a joint effect between the ATM gene and radiation exposure in carcinogenesis. Results rs1801516, which was the only ATM polymorphism investigated by more than 3 studies of radiation exposure, was eligible for the present study. The meta-analysis of 23333 individuals without radiation exposure from 24 studies showed no association between the rs1801516 polymorphism and cancer risk, without heterogeneity across studies. The meta-analysis of 3787 individuals with radiation exposure from 6 studies showed a significant association between the rs1801516 polymorphism and a decreased cancer risk, with heterogeneity across studies. There was a borderline-significant difference between the ORs of the two meta-analyses (P = 0.066), and the difference was significant when only Caucasians were included (P = 0.011). Materials and methods Publications were identified by searching PubMed, EMBASE, Web of Science, and CNKI databases. Odds ratios (ORs) were calculated to estimate the association between ATM genetic polymorphisms and cancer risk. Tests of interaction were used to compare differences between the ORs of the two meta-analyses. Conclusions Our meta-analyses confirmed the presence of a gene-environment interaction between the rs1801516 polymorphism and radiation exposure in carcinogenesis, whereas no association was found between the rs1801516 polymorphism and cancer risk for individuals without radiation exposure. The heterogeneity observed in the meta-analysis of individuals with radiation exposure might be due to gene-ethnicity or gene-gene interactions. Further studies are needed to elucidate sources of the heterogeneity.
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Affiliation(s)
- Yuguang Zhao
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Lei Yang
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Di Wu
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Hua He
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Mengmeng Wang
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Tingwen Ge
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Yudi Liu
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Huimin Tian
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Lin Jia
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ziqiang Wan
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Fujun Han
- Cancer Center, The First Hospital of Jilin University, Changchun, China
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14
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Chhabra Y, Yong HXL, Fane ME, Soogrim A, Lim W, Mahiuddin DN, Kim RSQ, Ashcroft M, Beatson SA, Ainger SA, Smit DJ, Jagirdar K, Walker GJ, Sturm RA, Smith AG. Genetic variation in IRF4 expression modulates growth characteristics, tyrosinase expression and interferon-gamma response in melanocytic cells. Pigment Cell Melanoma Res 2017; 31:51-63. [PMID: 28755520 DOI: 10.1111/pcmr.12620] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 07/24/2017] [Indexed: 12/29/2022]
Abstract
A SNP within intron4 of the interferon regulatory factor4 (IRF4) gene, rs12203592*C/T, has been independently associated with pigmentation and age-specific effects on naevus count in European-derived populations. We have characterized the cis-regulatory activity of this intronic region and using human foreskin-derived melanoblast strains, we have explored the correlation between IRF4 rs12203592 homozygous C/C and T/T genotypes with TYR enzyme activity, supporting its association with pigmentation traits. Further, higher IRF4 protein levels directed by the rs12203592*C allele were associated with increased basal proliferation but decreased cell viability following UVR, an etiological factor in melanoma development. Since UVR, and accompanying IFNγ-mediated inflammatory response, is associated with melanomagenesis, we evaluated its effects in the context of IRF4 status. Manipulation of IRF4 levels followed by IFNγ treatment revealed a subset of chemokines and immuno-evasive molecules that are sensitive to IRF4 expression level and genotype including CTLA4 and PD-L1.
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Affiliation(s)
- Yash Chhabra
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia.,School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, at the Translational Research Institute, Brisbane, QLD, Australia
| | - Hilary X L Yong
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Mitchell E Fane
- School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, at the Translational Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Arish Soogrim
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Wen Lim
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Dayana Nur Mahiuddin
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Reuben S Q Kim
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Melinda Ashcroft
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | - Scott A Beatson
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | - Stephen A Ainger
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Darren J Smit
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Kasturee Jagirdar
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Graeme J Walker
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Richard A Sturm
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia
| | - Aaron G Smith
- Dermatology Research Centre, UQ Diamantina Institute, The University of Queensland, TRI, Brisbane, QLD, Australia.,School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, at the Translational Research Institute, Brisbane, QLD, Australia
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15
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Choi J, Xu M, Makowski MM, Zhang T, Law MH, Kovacs MA, Granzhan A, Kim WJ, Parikh H, Gartside M, Trent JM, Teulade-Fichou MP, Iles MM, Newton-Bishop JA, Bishop DT, MacGregor S, Hayward NK, Vermeulen M, Brown KM. A common intronic variant of PARP1 confers melanoma risk and mediates melanocyte growth via regulation of MITF. Nat Genet 2017; 49:1326-1335. [PMID: 28759004 DOI: 10.1038/ng.3927] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 07/07/2017] [Indexed: 12/13/2022]
Abstract
Previous genome-wide association studies have identified a melanoma-associated locus at 1q42.1 that encompasses a ∼100-kb region spanning the PARP1 gene. Expression quantitative trait locus (eQTL) analysis in multiple cell types of the melanocytic lineage consistently demonstrated that the 1q42.1 melanoma risk allele (rs3219090[G]) is correlated with higher PARP1 levels. In silico fine-mapping and functional validation identified a common intronic indel, rs144361550 (-/GGGCCC; r2 = 0.947 with rs3219090), as displaying allele-specific transcriptional activity. A proteomic screen identified RECQL as binding to rs144361550 in an allele-preferential manner. In human primary melanocytes, PARP1 promoted cell proliferation and rescued BRAFV600E-induced senescence phenotypes in a PARylation-independent manner. PARP1 also transformed TERT-immortalized melanocytes expressing BRAFV600E. PARP1-mediated senescence rescue was accompanied by transcriptional activation of the melanocyte-lineage survival oncogene MITF, highlighting a new role for PARP1 in melanomagenesis.
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Affiliation(s)
- Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Mai Xu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Matthew M Makowski
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, the Netherlands
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Matthew H Law
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michael A Kovacs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Anton Granzhan
- CNRS UMR 9187, INSERM U1196, Institut Curie, PSL Research University and Université Paris Sud, Université Paris Saclay, Orsay, France
| | - Wendy J Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Hemang Parikh
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Michael Gartside
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jeffrey M Trent
- Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Marie-Paule Teulade-Fichou
- CNRS UMR 9187, INSERM U1196, Institut Curie, PSL Research University and Université Paris Sud, Université Paris Saclay, Orsay, France
| | - Mark M Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Julia A Newton-Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - D Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Stuart MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nicholas K Hayward
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michiel Vermeulen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, the Netherlands
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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16
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Hernando B, Peña-Chilet M, Ibarrola-Villava M, Martin-Gonzalez M, Gomez-Fernandez C, Ribas G, Martinez-Cadenas C. Genetic 3'UTR variation is associated with human pigmentation characteristics and sensitivity to sunlight. Exp Dermatol 2017; 26:896-903. [PMID: 28266728 DOI: 10.1111/exd.13333] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2017] [Indexed: 12/14/2022]
Abstract
Sunlight exposure induces signalling pathways leading to the activation of melanin synthesis and tanning response. MicroRNAs (miRNAs) can regulate the expression of genes involved in pigmentation pathways by binding to the complementary sequence in their 3'untranslated regions (3'UTRs). Therefore, 3'UTR SNPs are predicted to modify the ability of miRNAs to target genes, resulting in differential gene expression. In this study, we investigated the role in pigmentation and sun-sensitivity traits, as well as in melanoma susceptibility, of 38 different 3'UTR SNPs from 38 pigmentation-related genes. A total of 869 individuals of Spanish origin (526 melanoma cases and 343 controls) were analysed. The association of genotypic data with pigmentation traits was analysed via logistic regression. Web-based tools for predicting the effect of genetic variants in microRNA-binding sites in 3'UTR gene regions were also used. Seven 3'UTR SNPs showed a potential implication in melanoma risk phenotypes. This association is especially noticeable for two of them, rs2325813 in the MLPH gene and rs752107 in the WNT3A gene. These two SNPs were predicted to disrupt a miRNA-binding site and to impact on miRNA-mRNA interaction. To our knowledge, this is the first time that these two 3'UTR SNPs have been associated with sun-sensitivity traits. We state the potential implication of these SNPs in human pigmentation and sensitivity to sunlight, possibly as a result of changes in the level of gene expression through the disruption of putative miRNA-binding sites.
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Affiliation(s)
- Barbara Hernando
- Department of Medicine, Jaume I University of Castellon, Castellon, Spain
| | - Maria Peña-Chilet
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, Valencia, Spain.,Network Centre for Biomedical Cancer Research (CIBERONC), Valencia, Spain
| | - Maider Ibarrola-Villava
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, Valencia, Spain.,Network Centre for Biomedical Cancer Research (CIBERONC), Valencia, Spain
| | | | | | - Gloria Ribas
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, Valencia, Spain.,Network Centre for Biomedical Cancer Research (CIBERONC), Valencia, Spain
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17
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Meta-analysis of the Correlation Between Interleukin-6 Promoter Polymorphism -174G/C and Interferon Regulatory Factor 4 rs12203592 Polymorphism With Skin Cancer Susceptibility. Am J Ther 2017; 23:e1758-e1767. [PMID: 26928068 DOI: 10.1097/mjt.0000000000000429] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Inflammation is a process whereby the immune system responds to a disease or injury. Chronic inflammation, however, has been linked to several types of cancers such as skin cancer. Molecular epidemiological studies were carried out in recent years evaluating interferon regulatory factor 4 (IRF4) rs12203592 and interleukin-6 (IL-6) gene -174G/C polymorphism associated with skin cancer risk for different groups of people. However, the results are still conflicting, not conclusive. We performed a meta-analysis to investigate the association between cancer susceptibility and IL-6 -174G/C (1130 cases and 1260 controls from 7 studies) and IRF4 rs12203592 polymorphisms (3879 cases and 6759 controls from 9 studies) in different inheritance models. We assess the strength of association of odds ratio (ORs), 95% confidence interval (CI). Overall, significantly elevated skin cancer risk was found when all studies were pooled into the meta-analysis of IL-6 -174G/C (For GC vs. GG: OR = 1.28, 95% CI, 1.06-1.54, I = 0, Pheterogeneity = 0.816; for CC/GC vs. GG: OR = 1.26, 95% CI, 1.05-1.50, I = 0, Pheterogeneity = 0.618). However, for IRF4 rs12203592 polymorphism, significantly increased risk of skin cancer was observed in TT versus CC (OR = 1.99, 95% CI, 1.30-3.07, I = 76.7%, Pheterogeneity < 0.001) and in recessive model (OR = 1.91, 95% CI, 1.31-2.77, I = 69.9%, Pheterogeneity < 0.001). This meta-analysis indicates that the IL-6 gene -174G/C and IRF4 rs12203592 polymorphisms may be associated with an increased skin cancer risk.
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18
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Potrony M, Rebollo-Morell A, Giménez-Xavier P, Zimmer L, Puig-Butille JA, Tell-Marti G, Sucker A, Badenas C, Carrera C, Malvehy J, Schadendorf D, Puig S. IRF4 rs12203592 functional variant and melanoma survival. Int J Cancer 2017; 140:1845-1849. [PMID: 28103633 DOI: 10.1002/ijc.30605] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 01/03/2017] [Indexed: 12/25/2022]
Abstract
Inherited genetic factors may modulate clinical outcome in melanoma. Some low-to-medium risk genes in melanoma susceptibility play a role in melanoma outcome. Our aim was to assess the role of the functional IRF4 SNP rs12203592 in melanoma prognosis in two independent sets (Barcelona, N = 493 and Essen, N = 438). Genotype association analyses showed that the IRF4 rs12203592 T allele increased the risk of dying from melanoma in both sets (Barcelona: odds ratio [OR] = 6.53, 95% CI 1.38-30.87, Adj p = 0.032; Essen: OR = 1.68, 95% CI 1.04-2.72, Adj p = 0.035). Survival analyses only showed significance for the Barcelona set (hazard ratio = 4.58, 95% CI 1.11-18.92, Adj p = 0.036). This SNP was also associated with tumour localization, increasing the risk of developing melanoma in head or neck (OR = 1.79, 95% CI 1.07-2.98, Adj p = 0.032) and protecting from developing melanoma in the trunk (OR = 0.59, 95% CI 0.41-0.85, Adj p = 0.004). These findings suggest for the first time that IRF4 rs12203592 plays a role in the modulation of melanoma outcome and confirms its contribution to the localization of the primary tumour.
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Affiliation(s)
- Miriam Potrony
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Aida Rebollo-Morell
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Pol Giménez-Xavier
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Lisa Zimmer
- Department of Dermatology, University Hospital Essen, Essen, Germany & German Cancer Consortium, Heidelberg, Germany
| | - Joan Anton Puig-Butille
- Biochemical and Molecular Genetics Service, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Gemma Tell-Marti
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Antje Sucker
- Department of Dermatology, University Hospital Essen, Essen, Germany & German Cancer Consortium, Heidelberg, Germany
| | - Celia Badenas
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain.,Biochemical and Molecular Genetics Service, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Cristina Carrera
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Josep Malvehy
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany & German Cancer Consortium, Heidelberg, Germany
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
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19
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Taylor NJ, Thomas NE, Anton-Culver H, Armstrong BK, Begg CB, Busam KJ, Cust AE, Dwyer T, From L, Gallagher RP, Gruber SB, Nishri DE, Orlow I, Rosso S, Venn AJ, Zanetti R, Berwick M, Kanetsky PA. Nevus count associations with pigmentary phenotype, histopathological melanoma characteristics and survival from melanoma. Int J Cancer 2016; 139:1217-22. [PMID: 27101944 PMCID: PMC4939099 DOI: 10.1002/ijc.30157] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 03/25/2016] [Accepted: 04/06/2016] [Indexed: 12/31/2022]
Abstract
Although nevus count is an established risk factor for melanoma, relationships between nevus number and patient and tumor characteristics have not been well studied and the influence of nevus count on melanoma-specific survival is equivocal. Using data from the Genes, Environment and Melanoma (GEM) study, a large population-based study of primary cutaneous melanoma, we evaluated associations between number of nevi and patient features, including sun-sensitivity summarized in a phenotypic index, and tumor characteristics. We also assessed the association of nevus count with melanoma-specific survival. Higher nevus counts were independently and positively associated with male gender and younger age at diagnosis, and they were inversely associated with lentigo maligna histology. We observed a borderline significant trend of poorer melanoma-specific survival with increasing quartile of nevus count, but little or no association between number of nevi and pigmentary phenotypic characteristics or prognostic tumor features.
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Affiliation(s)
- Nicholas J. Taylor
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Nancy E. Thomas
- Department of Dermatology, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, CA, USA
| | | | - Colin B. Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Klaus J. Busam
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anne E. Cust
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Terence Dwyer
- George Institute for Global Health Research, University of Oxford, 34 Broad St. OX1 3BD, Oxford, UK
| | - Lynn From
- Women’s College Hospital, Toronto, ON, Canada
| | | | - Stephen B. Gruber
- Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | | | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Alison J. Venn
- Menzies Centre for Population Health, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Marianne Berwick
- Departments of Internal Medicine and Dermatology, University of New Mexico, Albuquerque, NM, USA
| | - Peter A. Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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20
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Pośpiech E, Karłowska-Pik J, Ziemkiewicz B, Kukla M, Skowron M, Wojas-Pelc A, Branicki W. Further evidence for population specific differences in the effect of DNA markers and gender on eye colour prediction in forensics. Int J Legal Med 2016; 130:923-934. [PMID: 27221533 PMCID: PMC4912978 DOI: 10.1007/s00414-016-1388-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 05/09/2016] [Indexed: 11/30/2022]
Abstract
The genetics of eye colour has been extensively studied over the past few years, and the identified polymorphisms have been applied with marked success in the field of Forensic DNA Phenotyping. A picture that arises from evaluation of the currently available eye colour prediction markers shows that only the analysis of HERC2-OCA2 complex has similar effectiveness in different populations, while the predictive potential of other loci may vary significantly. Moreover, the role of gender in the explanation of human eye colour variation should not be neglected in some populations. In the present study, we re-investigated the data for 1020 Polish individuals and using neural networks and logistic regression methods explored predictive capacity of IrisPlex SNPs and gender in this population sample. In general, neural networks provided higher prediction accuracy comparing to logistic regression (AUC increase by 0.02–0.06). Four out of six IrisPlex SNPs were associated with eye colour in the studied population. HERC2 rs12913832, OCA2 rs1800407 and SLC24A4 rs12896399 were found to be the most important eye colour predictors (p < 0.007) while the effect of rs16891982 in SLC45A2 was less significant. Gender was found to be significantly associated with eye colour with males having ~1.5 higher odds for blue eye colour comparing to females (p = 0.002) and was ranked as the third most important factor in blue/non-blue eye colour determination. However, the implementation of gender into the developed prediction models had marginal and ambiguous impact on the overall accuracy of prediction confirming that the effect of gender on eye colour in this population is small. Our study indicated the advantage of neural networks in prediction modeling in forensics and provided additional evidence for population specific differences in the predictive importance of the IrisPlex SNPs and gender.
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Affiliation(s)
- Ewelina Pośpiech
- Institute of Zoology, Faculty of Biology and Earth Sciences, Jagiellonian University, Kraków, Poland. .,Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
| | - Joanna Karłowska-Pik
- Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland
| | - Bartosz Ziemkiewicz
- Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland
| | - Magdalena Kukla
- Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, Poland
| | - Małgorzata Skowron
- Department of Dermatology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Anna Wojas-Pelc
- Department of Dermatology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
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21
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CPEB4 and IRF4 expression in peripheral mononuclear cells are potential prognostic factors for advanced lung cancer. J Formos Med Assoc 2016; 116:114-122. [PMID: 27113098 DOI: 10.1016/j.jfma.2016.01.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 08/25/2015] [Accepted: 01/20/2016] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND/PURPOSE Lung cancer is a heterogeneous disease with varied outcomes. Molecular markers are eagerly investigated to predict a patient's treatment response or outcome. Previous studies used frozen biopsy tissues to identify crucial genes as prognostic markers. We explored the prognostic value of peripheral blood (PB) molecular signatures in patients with advanced non-small cell lung cancer (NSCLC). METHODS Peripheral blood mononuclear cell (PBMC) fractions from patients with advanced NSCLC were applied for RNA extraction, cDNA synthesis, and real-time polymerase chain reaction (PCR) for the expression profiling of eight genes: DUSP6, MMD, CPEB4, RNF4, STAT2, NF1, IRF4, and ZNF264. Proportional hazard (PH) models were constructed to evaluate the association of the eight expressing genes and multiple clinical factors [e.g., sex, smoking status, and Charlson comorbidity index (CCI)] with overall survival. RESULTS One hundred and forty-one patients with advanced NSCLC were enrolled. They included 109 (77.30%) patients with adenocarcinoma, 12 (8.51%) patients with squamous cell carcinoma, and 20 (14.18%) patients with other pathological lung cancer types. A PH model containing two significant survival-associated genes, CPEB4 and IRF4, could help in predicting the overall survival of patients with advanced stage NSCLC [hazard ratio (HR) = 0.48, p < 0.0001). Adding multiple clinical factors further improved the prediction power of prognosis (HR = 0.33; p < 0.0001). CONCLUSION Molecular signatures in PB can stratify the prognosis in patients with advanced NSCLC. Further prospective, interventional clinical trials should be performed to test if gene profiling also predicts resistance to chemotherapy.
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22
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Hernando B, Ibarrola-Villava M, Fernandez LP, Peña-Chilet M, Llorca-Cardeñosa M, Oltra SS, Alonso S, Boyano MD, Martinez-Cadenas C, Ribas G. Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin. Biol Sex Differ 2016; 7:17. [PMID: 26998216 PMCID: PMC4797181 DOI: 10.1186/s13293-016-0070-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 03/07/2016] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Human pigmentation is a polygenic quantitative trait with high heritability. In addition to genetic factors, it has been shown that pigmentation can be modulated by oestrogens and androgens via up- or down-regulation of melanin synthesis. Our aim was to identify possible sex differences in pigmentation phenotype as well as in melanoma association in a melanoma case-control population of Spanish origin. METHODS Five hundred and ninety-nine females (316 melanoma cases and 283 controls) and 458 males (234 melanoma cases and 224 controls) were analysed. We genotyped 363 polymorphisms (single nucleotide polymorphisms (SNPs)) from 65 pigmentation gene regions. RESULTS When samples were stratified by sex, we observed more SNPs associated with dark pigmentation and good sun tolerance in females than in males (107 versus 75; P = 2.32 × 10(-6)), who were instead associated with light pigmentation and poor sun tolerance. Furthermore, six SNPs in TYR, SILV/CDK2, GPR143, and F2RL1 showed strong differences in melanoma risk by sex (P < 0.01). CONCLUSIONS We demonstrate that these genetic variants are important for pigmentation as well as for melanoma risk, and also provide suggestive evidence for potential differences in genetic effects by sex.
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Affiliation(s)
- Barbara Hernando
- Department of Medicine, Jaume I University of Castellon, Av. Sos Baynat s/n, 12071 Castellon, Spain
| | - Maider Ibarrola-Villava
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, University of Valencia, Av. Menendez Pelayo 4 accesorio, 46010 Valencia, Spain
| | - Lara P Fernandez
- Molecular Oncology and Nutritional Genomics of Cancer Group, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Maria Peña-Chilet
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, University of Valencia, Av. Menendez Pelayo 4 accesorio, 46010 Valencia, Spain
| | - Marta Llorca-Cardeñosa
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, University of Valencia, Av. Menendez Pelayo 4 accesorio, 46010 Valencia, Spain
| | - Sara S Oltra
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, University of Valencia, Av. Menendez Pelayo 4 accesorio, 46010 Valencia, Spain
| | - Santos Alonso
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Bizkaia Spain
| | - Maria Dolores Boyano
- Department of Cell Biology and Histology, University of the Basque Country UPV/EHU, Leioa, Bizkaia Spain.,BioCruces Health Research Institute, Cruces University Hospital, Cruces-Barakaldo, Bizkaia Spain
| | - Conrado Martinez-Cadenas
- Department of Medicine, Jaume I University of Castellon, Av. Sos Baynat s/n, 12071 Castellon, Spain
| | - Gloria Ribas
- Department of Medical Oncology, Biomedical Research Institute - INCLIVA, University of Valencia, Av. Menendez Pelayo 4 accesorio, 46010 Valencia, Spain
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23
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Potrony M, Badenas C, Aguilera P, Puig-Butille JA, Carrera C, Malvehy J, Puig S. Update in genetic susceptibility in melanoma. ANNALS OF TRANSLATIONAL MEDICINE 2015; 3:210. [PMID: 26488006 DOI: 10.3978/j.issn.2305-5839.2015.08.11] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Melanoma is the most deadly of the common skin cancers and its incidence is rapidly increasing. Approximately 10% of cases occur in a familial context. To date, cyclin-dependent kinase inhibitor 2A (CDKN2A), which was identified as the first melanoma susceptibility gene more than 20 years ago, is the main high-risk gene for melanoma. A few years later cyclin-dependent kinase 4 (CDK4) was also identified as a melanoma susceptibility gene. The technologic advances have allowed the identification of new genes involved in melanoma susceptibility: Breast cancer 1 (BRCA1) associated protein 1 (BAP1), CXC genes, telomerase reverse transcriptase (TERT), protection of telomeres 1 (POT1), ACD and TERF2IP, the latter four being involved in telomere maintenance. Furthermore variants in melanocortin 1 receptor (MC1R) and microphthalmia-associated transcription factor (MITF) give a moderately increased risk to develop melanoma. Melanoma genetic counseling is offered to families in order to better understand the disease and the genetic susceptibility of developing it. Genetic counseling often implies genetic testing, although patients can benefit from genetic counseling even when they do not fulfill the criteria for these tests. Genetic testing for melanoma predisposition mutations can be used in clinical practice under adequate selection criteria and giving a valid test interpretation and genetic counseling to the individual.
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Affiliation(s)
- Miriam Potrony
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Celia Badenas
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Paula Aguilera
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Joan Anton Puig-Butille
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Cristina Carrera
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Josep Malvehy
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Susana Puig
- 1 Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain ; 2 Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain ; 3 Molecular Biology and Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, Barcelona, Spain
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24
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Law MH, Bishop DT, Lee JE, Brossard M, Martin NG, Moses EK, Song F, Barrett JH, Kumar R, Easton DF, Pharoah PDP, Swerdlow AJ, Kypreou KP, Taylor JC, Harland M, Randerson-Moor J, Akslen LA, Andresen PA, Avril MF, Azizi E, Scarrà GB, Brown KM, Dȩbniak T, Duffy DL, Elder DE, Fang S, Friedman E, Galan P, Ghiorzo P, Gillanders EM, Goldstein AM, Gruis NA, Hansson J, Helsing P, Hočevar M, Höiom V, Ingvar C, Kanetsky PA, Chen WV, Landi MT, Lang J, Lathrop GM, Lubiński J, Mackie RM, Mann GJ, Molven A, Montgomery GW, Novaković S, Olsson H, Puig S, Puig-Butille JA, Qureshi AA, Radford-Smith GL, van der Stoep N, van Doorn R, Whiteman DC, Craig JE, Schadendorf D, Simms LA, Burdon KP, Nyholt DR, Pooley KA, Orr N, Stratigos AJ, Cust AE, Ward SV, Hayward NK, Han J, Schulze HJ, Dunning AM, Bishop JAN, Demenais F, Amos CI, MacGregor S, Iles MM. Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma. Nat Genet 2015; 47:987-995. [PMID: 26237428 PMCID: PMC4557485 DOI: 10.1038/ng.3373] [Citation(s) in RCA: 187] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 07/09/2015] [Indexed: 12/17/2022]
Abstract
Thirteen common susceptibility loci have been reproducibly associated with cutaneous malignant melanoma (CMM). We report the results of an international 2-stage meta-analysis of CMM genome-wide association studies (GWAS). This meta-analysis combines 11 GWAS (5 previously unpublished) and a further three stage 2 data sets, totaling 15,990 CMM cases and 26,409 controls. Five loci not previously associated with CMM risk reached genome-wide significance (P < 5 × 10(-8)), as did 2 previously reported but unreplicated loci and all 13 established loci. Newly associated SNPs fall within putative melanocyte regulatory elements, and bioinformatic and expression quantitative trait locus (eQTL) data highlight candidate genes in the associated regions, including one involved in telomere biology.
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25
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Mitochondrial DNA copy number in peripheral blood and melanoma risk. PLoS One 2015; 10:e0131649. [PMID: 26110424 PMCID: PMC4482392 DOI: 10.1371/journal.pone.0131649] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Accepted: 06/05/2015] [Indexed: 02/07/2023] Open
Abstract
Mitochondrial DNA (mtDNA) copy number in peripheral blood has been suggested as risk modifier in various types of cancer. However, its influence on melanoma risk is unclear. We evaluated the association between mtDNA copy number in peripheral blood and melanoma risk in 500 melanoma cases and 500 healthy controls from an ongoing melanoma study. The mtDNA copy number was measured using real-time polymerase chain reaction. Overall, mean mtDNA copy number was significantly higher in cases than in controls (1.15 vs 0.99, P<0.001). Increased mtDNA copy number was associated with a 1.45-fold increased risk of melanoma (95% confidence interval: 1.12-1.97). Significant joint effects between mtDNA copy number and variables related to pigmentation and history of sunlight exposure were observed. This study supports an association between increased mtDNA copy number and melanoma risk that is independent on the known melanoma risk factors (pigmentation and history of sunlight exposure).
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26
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Gibbs DC, Orlow I, Kanetsky PA, Luo L, Kricker A, Armstrong BK, Anton-Culver H, Gruber SB, Marrett LD, Gallagher RP, Zanetti R, Rosso S, Dwyer T, Sharma A, La Pilla E, From L, Busam KJ, Cust AE, Ollila DW, Begg CB, Berwick M, Thomas NE. Inherited genetic variants associated with occurrence of multiple primary melanoma. Cancer Epidemiol Biomarkers Prev 2015; 24:992-7. [PMID: 25837821 DOI: 10.1158/1055-9965.epi-14-1426] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 03/13/2015] [Indexed: 01/25/2023] Open
Abstract
Recent studies, including genome-wide association studies, have identified several putative low-penetrance susceptibility loci for melanoma. We sought to determine their generalizability to genetic predisposition for multiple primary melanoma in the international population-based Genes, Environment, and Melanoma (GEM) Study. GEM is a case-control study of 1,206 incident cases of multiple primary melanoma and 2,469 incident first primary melanoma participants as the control group. We investigated the odds of developing multiple primary melanoma for 47 SNPs from 21 distinct genetic regions previously reported to be associated with melanoma. ORs and 95% confidence intervals were determined using logistic regression models adjusted for baseline features (age, sex, age by sex interaction, and study center). We investigated univariable models and built multivariable models to assess independent effects of SNPs. Eleven SNPs in 6 gene neighborhoods (TERT/CLPTM1L, TYRP1, MTAP, TYR, NCOA6, and MX2) and a PARP1 haplotype were associated with multiple primary melanoma. In a multivariable model that included only the most statistically significant findings from univariable modeling and adjusted for pigmentary phenotype, back nevi, and baseline features, we found TERT/CLPTM1L rs401681 (P = 0.004), TYRP1 rs2733832 (P = 0.006), MTAP rs1335510 (P = 0.0005), TYR rs10830253 (P = 0.003), and MX2 rs45430 (P = 0.008) to be significantly associated with multiple primary melanoma, while NCOA6 rs4911442 approached significance (P = 0.06). The GEM Study provides additional evidence for the relevance of these genetic regions to melanoma risk and estimates the magnitude of the observed genetic effect on development of subsequent primary melanoma.
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Affiliation(s)
- David C Gibbs
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Irene Orlow
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Li Luo
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Anne Kricker
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Bruce K Armstrong
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, California
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | | | - Roberto Zanetti
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Stefano Rosso
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Terence Dwyer
- The George Institute for Global Health, Oxford Martin School & Nuffield Department of Population Health, Oxford University, United Kingdom
| | - Ajay Sharma
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Emily La Pilla
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lynn From
- Women's College Hospital, Toronto, Ontario, Canada
| | - Klaus J Busam
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anne E Cust
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - David W Ollila
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Colin B Begg
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Nancy E Thomas
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.
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27
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Antonopoulou K, Stefanaki I, Lill CM, Chatzinasiou F, Kypreou KP, Karagianni F, Athanasiadis E, Spyrou GM, Ioannidis JPA, Bertram L, Evangelou E, Stratigos AJ. Updated field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma: the MelGene database. J Invest Dermatol 2015; 135:1074-1079. [PMID: 25407435 DOI: 10.1038/jid.2014.491] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 10/09/2014] [Accepted: 10/31/2014] [Indexed: 12/26/2022]
Abstract
We updated a field synopsis of genetic associations of cutaneous melanoma (CM) by systematically retrieving and combining data from all studies in the field published as of August 31, 2013. Data were available from 197 studies, which included 83,343 CM cases and 187,809 controls and reported on 1,126 polymorphisms in 289 different genes. Random-effects meta-analyses of 81 eligible polymorphisms evaluated in >4 data sets confirmed 20 single-nucleotide polymorphisms across 10 loci (TYR, AFG3L1P, CDK10, MYH7B, SLC45A2, MTAP, ATM, CLPTM1L, FTO, and CASP8) that have previously been published with genome-wide significant evidence for association (P<5 × 10(-8)) with CM risk, with certain variants possibly functioning as proxies of already tagged genes. Four other loci (MITF, CCND1, MX2, and PLA2G6) were also significantly associated with 5 × 10(-8)
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Affiliation(s)
- Kyriaki Antonopoulou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Irene Stefanaki
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Christina M Lill
- Neuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; Department of Neurology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Foteini Chatzinasiou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Katerina P Kypreou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Fani Karagianni
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Emmanouil Athanasiadis
- Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - George M Spyrou
- Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - John P A Ioannidis
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA
| | - Lars Bertram
- Neuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; Department of Medicine, School of Public Health, Imperial College London, London, UK
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, Clinical and Molecular Epidemiology Unit, School of Medicine, University of Ioannina, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London, UK
| | - Alexander J Stratigos
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece.
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28
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Orlow I, Satagopan JM, Berwick M, Enriquez HL, White KAM, Cheung K, Dusza SW, Oliveria SA, Marchetti MA, Scope A, Marghoob AA, Halpern AC. Genetic factors associated with naevus count and dermoscopic patterns: preliminary results from the Study of Nevi in Children (SONIC). Br J Dermatol 2015; 172:1081-9. [PMID: 25307738 PMCID: PMC4382400 DOI: 10.1111/bjd.13467] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2014] [Indexed: 01/09/2023]
Abstract
BACKGROUND Melanocytic naevi are an important risk factor for melanoma. Naevi with distinct dermoscopic patterns can differ in size, distribution and host pigmentation characteristics. OBJECTIVES We examined MC1R and 85 other candidate loci in a cohort of children to test the hypothesis that the development and dermoscopic type of naevi are modulated by genetic variants. METHODS Buccal DNAs were obtained from a cohort of 353 fifth graders (mean age 10·4 years). Polymorphisms were chosen based on a known or anticipated role in naevi and melanoma. Associations between single-nucleotide polymorphisms (SNPs) and baseline naevus count were determined by multivariate regression adjusting for sex, race/ethnicity and sun sensitivity. Dermoscopic images were available for 853 naevi from 290 children. Associations between SNPs and dermoscopic patterns were determined by polytomous regression. RESULTS Four SNPs were significantly associated with increasing (IRF4) or decreasing (PARP1, CDK6 and PLA2G6) naevus count in multivariate shrinkage analyses with all SNPs included in the model; IRF4 rs12203952 showed the strongest association with log naevus count (relative risk 1·56, P < 0·001). Using homogeneous naevi as the reference, IRF4 rs12203952 and four other SNPs in TERT, CDKN1B, MTAP and PARP1 were associated with either globular or reticular dermoscopic patterns (P < 0·05). CONCLUSIONS Our results provide evidence that subsets of naevi defined by dermoscopic patterns differ in their associations with germline genotypes and support the hypothesis that dermoscopically defined subsets of naevi are biologically distinct. These results require confirmation in larger cohorts. If confirmed, these findings will improve the current knowledge of naevogenesis and assist in the identification of individuals with high-risk phenotypes.
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Affiliation(s)
- I Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, U.S.A
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Llorca-Cardeñosa MJ, Peña-Chilet M, Mayor M, Gomez-Fernandez C, Casado B, Martin-Gonzalez M, Carretero G, Lluch A, Martinez-Cadenas C, Ibarrola-Villava M, Ribas G. Long telomere length and a TERT-CLPTM1 locus polymorphism association with melanoma risk. Eur J Cancer 2014; 50:3168-77. [PMID: 25457634 DOI: 10.1016/j.ejca.2014.09.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 09/02/2014] [Accepted: 09/28/2014] [Indexed: 11/22/2022]
Abstract
Telomere length has been associated with the development of cancer. Studies have shown that shorter telomere length may be related to a decreased risk of cutaneous melanoma. Furthermore, deregulation of the telomere-maintaining gene complexes, has been related to this oncogenic process. Some variants in these genes seem to be correlated with a change in telomerase expression. We examined the effect of 10 single nucleotide polymorphisms (SNPs) in the TERT gene (encoding telomerase), one SNP in the related TERT-CLPTM1L locus and one SNP in the TRF1 gene with telomere length, and its influence on melanoma risk in 970 Spanish cases and 733 Spanish controls. Genotypes were determined using KASP technology, and telomere length was measured by quantitative polymerase chain reaction (PCR) on DNA extracted from peripheral blood leucocytes. Our results demonstrate that shorter telomere length is associated with a decreased risk of melanoma in our population (global p-value, 2.69×10(-11)), which may be caused by a diminution of proliferative potential of nevi (melanoma precursor cells). We also obtained significant results when we tested the association between rs401681 variant (TERT-CLPTM1L locus) with melanoma risk (Odds ratio, OR; 95% confidence interval, CI=1.24 (1.08-1.43); p-value, 3×10(-3)). This is the largest telomere-related study undertaken in a Spanish population to date. Furthermore, this study represents a comprehensive analysis of some of the most relevant telomere pathway genes in relation to cutaneous melanoma susceptibility.
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Affiliation(s)
- Marta J Llorca-Cardeñosa
- Department of Hematology and Medical Oncology, Health Research Institute-INCLIVA, Valencia, Spain
| | - Maria Peña-Chilet
- Department of Hematology and Medical Oncology, Health Research Institute-INCLIVA, Valencia, Spain
| | - Matias Mayor
- Dermatology Unit, La Paz Hospital, Madrid, Spain
| | | | | | | | | | - Ana Lluch
- Department of Hematology and Medical Oncology, Health Research Institute-INCLIVA, Valencia, Spain
| | | | - Maider Ibarrola-Villava
- Department of Hematology and Medical Oncology, Health Research Institute-INCLIVA, Valencia, Spain
| | - Gloria Ribas
- Department of Hematology and Medical Oncology, Health Research Institute-INCLIVA, Valencia, Spain.
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Wang L, Yao ZQ, Moorman JP, Xu Y, Ning S. Gene expression profiling identifies IRF4-associated molecular signatures in hematological malignancies. PLoS One 2014; 9:e106788. [PMID: 25207815 PMCID: PMC4160201 DOI: 10.1371/journal.pone.0106788] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 07/31/2014] [Indexed: 12/29/2022] Open
Abstract
The lymphocyte-specific transcription factor Interferon (IFN) Regulatory Factor 4 (IRF4) is implicated in certain types of lymphoid and myeloid malignancies. However, the molecular mechanisms underlying its interactions with these malignancies are largely unknown. In this study, we have first profiled molecular signatures associated with IRF4 expression in associated cancers, by analyzing existing gene expression profiling datasets. Our results show that IRF4 is overexpressed in melanoma, in addition to previously reported contexts including leukemia, myeloma, and lymphoma, and that IRF4 is associated with a unique gene expression pattern in each context. A pool of important genes involved in B-cell development, oncogenesis, cell cycle regulation, and cell death including BATF, LIMD1, CFLAR, PIM2, and CCND2 are common signatures associated with IRF4 in non-Hodgkin B cell lymphomas. We confirmed the correlation of IRF4 with LIMD1 and CFLAR in a panel of cell lines derived from lymphomas. Moreover, we profiled the IRF4 transcriptome in the context of EBV latent infection, and confirmed several genes including IFI27, IFI44, GBP1, and ARHGAP18, as well as CFLAR as novel targets for IRF4. These results provide valuable information for understanding the IRF4 regulatory network, and improve our knowledge of the unique roles of IRF4 in different hematological malignancies.
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Affiliation(s)
- Ling Wang
- Center for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, United States of America
| | - Zhi Q. Yao
- Center for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, United States of America
- HIV/HCV Program, James H. Quillen VA Medical Center, Johnson City, Tennessee, United States of America
| | - Jonathan P. Moorman
- Center for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, United States of America
- HIV/HCV Program, James H. Quillen VA Medical Center, Johnson City, Tennessee, United States of America
| | - Yanji Xu
- Shaun and Lilly International, LLC, Collierville, Tennessee, United States of America
| | - Shunbin Ning
- Center for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, United States of America
- * E-mail:
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Wang S, Yan Q, Chen P, Zhao P, Gu A. Association of interferon regulatory factor 4 gene polymorphisms rs12203592 and rs872071 with skin cancer and haematological malignancies susceptibility: a meta-analysis of 19 case-control studies. BMC Cancer 2014; 14:410. [PMID: 24906573 PMCID: PMC4059085 DOI: 10.1186/1471-2407-14-410] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2013] [Accepted: 05/23/2014] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Research has indicated that the rs12203592 and rs872071 interferon regulatory factor 4 (IRF4) gene polymorphisms correlate with the risk of cancer, especially skin cancer and haematological malignancies, but the results remain controversial. To understand better the effects of these two polymorphisms on skin cancer and haematological malignancies susceptibility, a cumulative meta-analysis was performed. METHODS We conducted a search using the PubMed and Web of Science databases for relevant case-control studies published before April 2014. Summary odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated using fixed- or random-effects models where appropriate. Heterogeneity test, publication bias test, and sensitivity analysis were also performed. RESULTS In total, 11 articles comprised of 19 case-control studies were identified; five focused on the rs12203592 polymorphism with 7,992 cases and 8,849 controls, and six were on the rs872071 polymorphism with 3108 cases and 8300 controls. As for rs12203592, a significant correlation with overall skin cancer and haematological malignancies risk was found with the homozygote comparison model (OR=1.566, 95% CI 1.087-2.256) and recessive model (OR=1.526, 95% CI 1.107-2.104). For rs872071, a significantly elevated haematological malignancies risk was observed in all genetic models (homozygote comparison: OR=1.805, 95% CI 1.402-2.323; heterozygote comparison: OR=1.427, 95% CI 1.203-1.692; dominant: OR=1.556, 95% CI 1.281-1.891; recessive: OR=1.432, 95% CI 1.293-1.587; additive: OR=1.349, 95% CI 1.201-1.515). Similarly, increased skin cancer and haematological malignancies risk was also identified after stratification of the SNP data by cancer type, ethnicity and source of controls for both polymorphisms. CONCLUSIONS Our meta-analysis indicated that the rs12203592 and rs872071 IRF4 gene polymorphisms are associated with individual susceptibility to skin cancer and haematological malignancies. Moreover, the effect of the rs12203592 polymorphism on skin cancer risk was particularly prominent among Caucasians. Further functional research should be performed to validate the association.
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Affiliation(s)
| | | | | | - Peng Zhao
- Department of Neurosurgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China.
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