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Qian D, Liu H, Zhao L, Luo S, Walsh KM, Huang J, Li CY, Wei Q. A pleiotropic ATM variant (rs1800057 C>G) is associated with risk of multiple cancers. Carcinogenesis 2021; 43:60-66. [PMID: 34643693 DOI: 10.1093/carcin/bgab092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 10/02/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
ATM (ataxia-telangiectasia mutated) is an important cell-cycle checkpoint kinase required for cellular response to DNA damage. Activated by DNA double strand breaks, ATM regulates the activities of many downstream proteins involved in various carcinogenic events. Therefore, ATM or its genetic variants may have a pleiotropic effect in cancer development. We conducted a pleiotropic analysis to evaluate associations between genetic variants of ATM and risk of multiple cancers. With genotyping data extracted from previously published genome-wide association studies of various cancers, we performed multivariate logistic regression analysis, followed by a meta-analysis for each cancer site, to identify cancer risk-associated single-nucleotide polymorphisms (SNPs). In the ASSET two-sided analysis, we found that two ATM SNPs were significantly associated with risk of multiple cancers. One tagging SNP (rs1800057 C>G) was associated with risk of multiple cancers (two-sided P=5.27×10 -7). Because ATM rs1800057 is a missense variant, we also explored the intermediate phenotypes through which this variant may confer risk of multiple cancers and identified a possible immune-mediated effect of this variant. Our findings indicate that genetic variants of ATM may have a pleiotropic effect on cancer risk and thus provide an important insight into common mechanisms of carcinogenesis.
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Affiliation(s)
- Danwen Qian
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.,Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Lingling Zhao
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University, Durham, NC 27710, USA
| | - Jiaoti Huang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of pathology, Duke University, Durham, NC 27710, USA
| | - Chuan-Yuan Li
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Dermatology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA.,Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
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Sorin M, Watkins D, Gilfix BM, Rosenblatt DS. Methionine dependence in tumor cells: The potential role of cobalamin and MMACHC. Mol Genet Metab 2021; 132:155-161. [PMID: 33487542 DOI: 10.1016/j.ymgme.2021.01.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/08/2021] [Accepted: 01/08/2021] [Indexed: 12/27/2022]
Abstract
Methionine dependence of tumor cell lines, the inability to grow in tissue culture media lacking methionine but supplemented with homocysteine, has been known for decades, but an understanding of the mechanism underlying this phenomenon remains incomplete. Methionine dependence of certain glioma and melanoma cell lines has been linked to alterations in the metabolism of cobalamin (vitamin B12). In the MeWo LC1 melanoma line, complementation analysis demonstrated that the genetic defect affected the same locus mutated in the cblC inborn error of cobalamin metabolism; hypermethylation of the MMACHC promoter was subsequently demonstrated. Analysis of data in the Cancer Cell Line Encyclopedia showed increased MMACHC methylation levels in melanoma lines compared to other types of cancer. RNA sequencing data from isolated tumors, tabulated at the cBioPortal for Cancer Genomics website, showed decreased MMACHC expression compared to other tumors; and methylation data tabulated at the TGGA Wanderer website demonstrated increased MMACHC methylation. These data suggest that disruptions in cobalamin metabolism might play a more general role in methionine dependence, and potentially in the pathogenesis of melanoma cell lines and primary tumors.
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Affiliation(s)
- Mark Sorin
- Department of Human Genetics, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada
| | - David Watkins
- Department of Human Genetics, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada.
| | - Brian M Gilfix
- Division of Medical Biochemistry, Department of Specialized Medicine, McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada
| | - David S Rosenblatt
- Department of Human Genetics, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada; Division of Medical Biochemistry, Department of Specialized Medicine, McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada; Division of Medical Genetics, Department of Specialized Medicine, McGill University Health Centre, Montreal, Quebec H4A 3J1, Canada
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3
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Ostrom QT, Coleman W, Huang W, Rubin JB, Lathia JD, Berens ME, Speyer G, Liao P, Wrensch MR, Eckel-Passow JE, Armstrong G, Rice T, Wiencke JK, McCoy LS, Hansen HM, Amos CI, Bernstein JL, Claus EB, Houlston RS, Il’yasova D, Jenkins RB, Johansen C, Lachance DH, Lai RK, Merrell RT, Olson SH, Sadetzki S, Schildkraut JM, Shete S, Andersson U, Rajaraman P, Chanock SJ, Linet MS, Wang Z, Yeager M, Melin B, Bondy ML, Barnholtz-Sloan JS. Sex-specific gene and pathway modeling of inherited glioma risk. Neuro Oncol 2019; 21:71-82. [PMID: 30124908 PMCID: PMC6303471 DOI: 10.1093/neuonc/noy135] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background To date, genome-wide association studies (GWAS) have identified 25 risk variants for glioma, explaining 30% of heritable risk. Most histologies occur with significantly higher incidence in males, and this difference is not explained by currently known risk factors. A previous GWAS identified sex-specific glioma risk variants, and this analysis aims to further elucidate risk variation by sex using gene- and pathway-based approaches. Methods Results from the Glioma International Case-Control Study were used as a testing set, and results from 3 GWAS were combined via meta-analysis and used as a validation set. Using summary statistics for nominally significant autosomal SNPs (P < 0.01 in a previous meta-analysis) and nominally significant X-chromosome SNPs (P < 0.01), 3 algorithms (Pascal, BimBam, and GATES) were used to generate gene scores, and Pascal was used to generate pathway scores. Results were considered statistically significant in the discovery set when P < 3.3 × 10-6 and in the validation set when P < 0.001 in 2 of 3 algorithms. Results Twenty-five genes within 5 regions and 19 genes within 6 regions reached statistical significance in at least 2 of 3 algorithms in males and females, respectively. EGFR was significantly associated with all glioma and glioblastoma in males only and a female-specific association in TERT, all of which remained nominally significant after conditioning on known risk loci. There were nominal associations with the BioCarta telomeres pathway in both males and females. Conclusions These results provide additional evidence that there may be differences by sex in genetic risk for glioma. Additional analyses may further elucidate the biological processes through which this risk is conferred.
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Affiliation(s)
- Quinn T Ostrom
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | | | - William Huang
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Joshua B Rubin
- Department of Pediatrics, Washington University School of Medicine, St Louis, Missouri, USA; Department of Neuroscience, Washington University School of Medicine, St Louis, Missouri, USA
| | - Justin D Lathia
- Department of Stem Cell Biology and Regenerative Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Michael E Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Gil Speyer
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Peter Liao
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Terri Rice
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - John K Wiencke
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Lucie S McCoy
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Helen M Hansen
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Elizabeth B Claus
- School of Public Health, Yale University, New Haven, Connecticut, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Dora Il’yasova
- Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia, USA
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Christoffer Johansen
- Oncology Clinic, Finsen Center, Rigshospitalet and Survivorship Research Unit, The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Rose K Lai
- Departments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Ryan T Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | | | - Ulrika Andersson
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Melissa L Bondy
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Suchy-Dicey AM, Muller CJ, Madhyastha TM, Shibata D, Cole SA, Zhao J, Longstreth WT, Buchwald D. Telomere Length and Magnetic Resonance Imaging Findings of Vascular Brain Injury and Central Brain Atrophy: The Strong Heart Study. Am J Epidemiol 2018; 187:1231-1239. [PMID: 29860472 DOI: 10.1093/aje/kwx368] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 12/01/2017] [Indexed: 12/27/2022] Open
Abstract
Telomeres are repeating regions of DNA that cap chromosomes. They shorten over the mammalian life span, especially in the presence of oxidative stress and inflammation. Telomeres may play a direct role in cell senescence, serving as markers of premature vascular aging. Leukocyte telomere length (LTL) may be associated with premature vascular brain injury and cerebral atrophy. However, reports have been inconsistent, especially among minority populations with a heavy burden of illness related to vascular aging. We examined associations between LTL and magnetic resonance imaging in 363 American Indians aged 64-93 years from the Strong Heart Study (1989-1991) and its ancillary study, Cerebrovascular Disease and Its Consequences in American Indians (2010-2013). Our results showed significant associations of LTL with ventricular enlargement and the presence of white matter hyperintensities. Secondary models indicated that renal function may mediate these associations, although small case numbers limited inference. Hypertension and diabetes showed little evidence of effect modification. Results were most extreme among participants who evinced the largest decline in LTL. Although this study was limited to cross-sectional comparisons, it represents (to our knowledge) the first consideration of associations between telomere length and brain aging in American Indians. Findings suggest a relationship between vascular aging by cell senescence and severity of brain disease.
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Affiliation(s)
- Astrid M Suchy-Dicey
- Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington
| | - Clemma J Muller
- Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington
| | - Tara M Madhyastha
- Department of Radiology, School of Medicine, University of Washington, Seattle, Washington
| | - Dean Shibata
- Department of Radiology, School of Medicine, University of Washington, Seattle, Washington
| | | | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - W T Longstreth
- Department of Neurology, School of Medicine, University of Washington, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Dedra Buchwald
- Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington
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