2
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Morton LM, Karyadi DM, Stewart C, Bogdanova TI, Dawson ET, Steinberg MK, Dai J, Hartley SW, Schonfeld SJ, Sampson JN, Maruvka YE, Kapoor V, Ramsden DA, Carvajal-Garcia J, Perou CM, Parker JS, Krznaric M, Yeager M, Boland JF, Hutchinson A, Hicks BD, Dagnall CL, Gastier-Foster JM, Bowen J, Lee O, Machiela MJ, Cahoon EK, Brenner AV, Mabuchi K, Drozdovitch V, Masiuk S, Chepurny M, Zurnadzhy LY, Hatch M, Berrington de Gonzalez A, Thomas GA, Tronko MD, Getz G, Chanock SJ. Radiation-related genomic profile of papillary thyroid carcinoma after the Chernobyl accident. Science 2021; 372:science.abg2538. [PMID: 33888599 DOI: 10.1126/science.abg2538] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/25/2021] [Indexed: 12/13/2022]
Abstract
The 1986 Chernobyl nuclear power plant accident increased papillary thyroid carcinoma (PTC) incidence in surrounding regions, particularly for radioactive iodine (131I)-exposed children. We analyzed genomic, transcriptomic, and epigenomic characteristics of 440 PTCs from Ukraine (from 359 individuals with estimated childhood 131I exposure and 81 unexposed children born after 1986). PTCs displayed radiation dose-dependent enrichment of fusion drivers, nearly all in the mitogen-activated protein kinase pathway, and increases in small deletions and simple/balanced structural variants that were clonal and bore hallmarks of nonhomologous end-joining repair. Radiation-related genomic alterations were more pronounced for individuals who were younger at exposure. Transcriptomic and epigenomic features were strongly associated with driver events but not radiation dose. Our results point to DNA double-strand breaks as early carcinogenic events that subsequently enable PTC growth after environmental radiation exposure.
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Affiliation(s)
- Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Danielle M Karyadi
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tetiana I Bogdanova
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Eric T Dawson
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.,Nvidia Corporation, Santa Clara, CA 95051, USA
| | - Mia K Steinberg
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Jieqiong Dai
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Stephen W Hartley
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Yosef E Maruvka
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vidushi Kapoor
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Dale A Ramsden
- Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Juan Carvajal-Garcia
- Curriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Joel S Parker
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Marko Krznaric
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Joseph F Boland
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Casey L Dagnall
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Julie M Gastier-Foster
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA.,Departments of Pathology and Pediatrics, Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jay Bowen
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA
| | - Olivia Lee
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Elizabeth K Cahoon
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alina V Brenner
- Radiation Effects Research Foundation, Hiroshima 732-0815, Japan
| | - Kiyohiko Mabuchi
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Vladimir Drozdovitch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sergii Masiuk
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Mykola Chepurny
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Liudmyla Yu Zurnadzhy
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Maureen Hatch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Gerry A Thomas
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Mykola D Tronko
- Department of Fundamental and Applied Problems of Endocrinology, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Center for Cancer Research and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
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Feiveson A, George K, Shavers M, Moreno-Villanueva M, Zhang Y, Babiak-Vazquez A, Crucian B, Semones E, Wu H. Predicting chromosome damage in astronauts participating in international space station missions. Sci Rep 2021; 11:5293. [PMID: 33674665 PMCID: PMC7935859 DOI: 10.1038/s41598-021-84242-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 02/12/2021] [Indexed: 01/12/2023] Open
Abstract
Space radiation consists of energetic protons and other heavier ions. During the International Space Station program, chromosome aberrations in lymphocytes of astronauts have been analyzed to estimate received biological doses of space radiation. More specifically, pre-flight blood samples were exposed ex vivo to varying doses of gamma rays, while post-flight blood samples were collected shortly and several months after landing. Here, in a study of 43 crew-missions, we investigated whether individual radiosensitivity, as determined by the ex vivo dose-response of the pre-flight chromosome aberration rate (CAR), contributes to the prediction of the post-flight CAR incurred from the radiation exposure during missions. Random-effects Poisson regression was used to estimate subject-specific radiosensitivities from the preflight dose-response data, which were in turn used to predict post-flight CAR and subject-specific relative biological effectiveness (RBEs) between space radiation and gamma radiation. Covariates age, gender were also considered. Results indicate that there is predictive value in background CAR as well as radiosensitivity determined preflight for explaining individual differences in post-flight CAR over and above that which could be explained by BFO dose alone. The in vivo RBE for space radiation was estimated to be approximately 3 relative to the ex vivo dose response to gamma irradiation. In addition, pre-flight radiosensitivity tended to be higher for individuals having a higher background CAR, suggesting that individuals with greater radiosensitivity can be more sensitive to other environmental stressors encountered in daily life. We also noted that both background CAR and radiosensitivity tend to increase with age, although both are highly variable. Finally, we observed no significant difference between the observed CAR shortly after mission and at > 6 months post-mission.
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Affiliation(s)
| | | | | | - Maria Moreno-Villanueva
- NASA Johnson Space Center, Houston, TX, 77058, USA.,Human Performance Research Centre, Department of Sport Science, University of Konstanz, Box 30, 78457, Konstanz, Germany
| | - Ye Zhang
- Kennedy Space Center, Cape Canaveral, Florida, USA
| | | | | | | | - Honglu Wu
- NASA Johnson Space Center, Houston, TX, 77058, USA.
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4
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Xi C, Zhao H, Lu X, Cai TJ, Li S, Liu KH, Tian M, Liu QJ. Screening of Lipids for Early Triage and Dose Estimation after Acute Radiation Exposure in Rat Plasma Based on Targeted Lipidomics Analysis. J Proteome Res 2020; 20:576-590. [PMID: 33200940 DOI: 10.1021/acs.jproteome.0c00560] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Rapid early triage and dose estimation is vital for limited medical resource allocation and treatment of a large number of the wounded after radiological accidents. Lipidomics has been utilized to delineate biofluid lipid signatures after irradiation. Here, high-coverage targeted lipidomics was employed to screen radiosensitive lipids after 0, 1, 2, 3, 5, and 8 Gy total body irradiation at 4, 24, and 72 h postirradiation in rat plasma. Ultra-performance liquid chromatography-tandem mass spectrometry with a multiple reaction monitoring method was utilized. In total, 416 individual lipids from 18 major classes were quantified and those biomarkers altered in a dose-dependent manner constituted panel A-panel D. Receiver operator characteristic curve analysis using combined lipids showed good to excellent sensitivity and specificity in triaging different radiation exposure levels (area under curve = 0.814-1.000). The equations for dose estimation were established by stepwise regression analysis for three time points. A novel strategy for radiation early triage and dose estimation was first established and validated using panels of lipids. Our study suggests that it is feasible to acquire quantitative lipid biomarker panels using targeted lipidomics platforms for rapid, high-throughput triage, which can provide further insights in developing lipidomics strategies for radiation biodosimetry in humans.
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Affiliation(s)
- Cong Xi
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Hua Zhao
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Xue Lu
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Tian-Jing Cai
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Shuang Li
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Ke-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.,Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mei Tian
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
| | - Qing-Jie Liu
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, P. R. China
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6
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Goh VST, Fujishima Y, Abe Y, Sakai A, Yoshida MA, Ariyoshi K, Kasai K, Wilkins RC, Blakely WF, Miura T. Construction of fluorescence in situ hybridization (FISH) translocation dose-response calibration curve with multiple donor data sets using R, based on ISO 20046:2019 recommendations. Int J Radiat Biol 2019; 95:1668-1684. [DOI: 10.1080/09553002.2019.1664788] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Valerie Swee Ting Goh
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
| | - Yohei Fujishima
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
- Department of Radiation Biology, Tohoku University School of Medicine, Sendai, Japan
| | - Yu Abe
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Akira Sakai
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Mitsuaki A. Yoshida
- Department of Radiation Biology, Institute of Radiation Emergency Medicine, Hirosaki University, Hirosaki, Japan
| | - Kentaro Ariyoshi
- Department of Radiation Biology, Institute of Radiation Emergency Medicine, Hirosaki University, Hirosaki, Japan
| | - Kosuke Kasai
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
| | - Ruth C. Wilkins
- Consumer and Clinical Radiation Protection Bureau, Healthy Environments and Consumer Safety Branch, Ottawa, ON, Canada
| | - William F. Blakely
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Tomisato Miura
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
- Department of Radiation Biology, Institute of Radiation Emergency Medicine, Hirosaki University, Hirosaki, Japan
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7
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Abtahi SMM, Aghamiri SMR, Yadolahi M, Mahmoudzadeh A. Dependence of micronuclei assay on the depth of absorbed dose. Rep Pract Oncol Radiother 2017; 22:470-476. [PMID: 28951698 DOI: 10.1016/j.rpor.2017.08.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 03/07/2017] [Accepted: 08/22/2017] [Indexed: 11/25/2022] Open
Abstract
AIM The purpose of the present study is to investigate the dependence of micronuclei response on the depth of absorbed dose. BACKGROUND One of the most common cytogenetic methods used for radiation dosimetry is micronuclei (MN). Being less complex and faster than other methods are two remarkable advantages of the MN method which make it suitable for monitoring of population. In biological dosimetry based on the micronuclei method, the investigation into the dependence of response on the depth in which dose is absorbed is significant, though has received less attention so far. MATERIALS AND METHODS Blood samples were poured in separate vials to be irradiated at different depths using a linear accelerator system. RESULTS According to the results, MN, as a function of the absorbed dose, had the best fitness with the linear-quadratic model at all depths. Furthermore, the results showed the dependence of MN response on the depth of absorbed dose. For doses up to 2 Gy, the maximum difference from the reference depth of 1.5 cm was related to the depth of 10 cm; however, by increasing the absorbed dose, the response associated with the depth of 20 cm showed the maximum deviation from the reference depth. CONCLUSIONS Consequently, it is necessary to apply a correction factor to the biological dosimetry. The correction factor is dependent on the depth and the absorbed dose.
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Affiliation(s)
| | | | - Masoumeh Yadolahi
- Nursing Care Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Aziz Mahmoudzadeh
- Department of Bioscience and Biotechnology, Malek-Ashtar University of Technology, Tehran, Iran
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8
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Ulsh BA, Dolling J, Lavoie J, Mitchel REJ, Boreham DR. Chromosome Damage Caused by Accidental Chronic Whole-Body Gamma Radiation Exposure in Thailand. Dose Response 2015; 13:1559325815614302. [PMID: 26740811 PMCID: PMC4674019 DOI: 10.1177/1559325815614302] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In February 2000, a radiation incident involving a medical 60Co source occurred in a metal scrapyard in Thailand. Several individuals were suspected to have received chronic or fractionated exposures ranging from a few mGy to a several Gy. Using fluorescence in situ hybridization to paint chromosomes, we determined the frequencies of chromosome aberrations in peripheral blood lymphocytes of 13 people who entered the scrapyard, 3 people who involved in recovering the source, and 9 nearby residents. Aberration frequencies greater than controls were observed in 13 of the donors at 3 months postexposure. The predominant form of aberration observed was simple, complete, symmetrical translocations. An approximate 50% decrease in these aberrations and in total color junctions was observed in 7 donors resampled at 16 months postexposure. Although high, acute exposures are known to have detrimental effects, the biological consequences of chronic, low dose-rate radiation exposures are unclear. Thirteen of the donors had elevated aberration frequencies, and 6 also had symptoms of acute radiation syndrome. If there are any long-term health consequences of this incident, it will most likely occur among this group of individuals. The consequences for the remaining donors, who presumably received lower total doses delivered at lower dose rates, are less clear.
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Affiliation(s)
- B A Ulsh
- McMaster University Institute of Applied Radiation Sciences, Hamilton, Ontario, Canada; M. H. Chew & Associates, Cincinnati, OH, USA
| | - J Dolling
- McMaster University Institute of Applied Radiation Sciences, Hamilton, Ontario, Canada
| | - J Lavoie
- McMaster University Institute of Applied Radiation Sciences, Hamilton, Ontario, Canada
| | - R E J Mitchel
- Chalk River Laboratories, Atomic Energy of Canada, Ltd, Chalk River, Ontario, Canada
| | - D R Boreham
- McMaster University Institute of Applied Radiation Sciences, Hamilton, Ontario, Canada
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