A Taste of What s New and What s Coming in Low Dose Radiation Research

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A Taste of What s New and What s Coming in Low Dose Radiation Research Amy Kronenberg, ScD Life Sciences Division Lawrence Berkeley National Laboratory Berkeley, CA 94720 Nuclear and Radiation Studies Board National Academy of Sciences November 2014

Setting the stage: Non-targeted effects of low dose radiation exposure evaluated using the radiation chimera model BALB/c mice (susceptible to IR-induced mammary tumors) Nguyen, D.H. et al., Cancer Cell 19:640-651, 2011

10 cgy exposure to the BALB/c host 3 days prior to transplant reduces time to tumor formation from implanted, un-irradiated Trp53 null mammary explants Nguyen, D. H. et al., Cancer Cell 19:640-651, 2011 Tumor frequency at the time of experiment termination; *p<0.05 vs. sham IR

Genotype of the host alters likelihood of cancer promotion by low dose irradiation: Irradiated Tgf-β heterozygous BALB/c mice do not have accelerated time-to-tumor appearance following implantation of un-irradiated Trp53 null mammary explants Nguyen, D. H. et al., Cancer Cell 19:640-651, 2011 Tumor frequency at the time of experiment termination not significant vs. sham IR

A systems biology approach to assessment of responses to low dose/low dose-rate exposure to ionizing radiation LBNL SFA Pengju Zhang (LSD), Alvin Lo(LSD), Yurong Huang (LSD), Joni Mott (LSD), Eleanor A Blakely (LSD), Gary Karpen (LSD), Mina Bissell (LSD), Mary Helen Barcellos-Hoff (NYU), Antoine Snijders (LSD), Jian-Hua Mao (LSD)

High Impact Science & Technology Does gene(c varia(on control biological responses to LDIR and mammary cancer risk? Backcross mouse strains resistant /sensitive to radiation-induced mammary cancer Morphogenesis & branching in 3D Cytokine levels Metabolic activity Gene expression Link all phenotypes to genetic loci through SNP analysis Tumor: Latency Incidence Growth Pathology ER status

Genotype of the host alters likelihood of cancer promotion by low dose IR: 10 cgy irradiated F1Bx hosts have increased latency and reduced frequency of tumor formation after implantation of non-irradiated Trp53 null mammary explants

SNP analyses reveal 15 genetic loci that interact with low dose irradiation (10 cgy) to control tumor latency in radiation chimeras: 4 BALB/c loci are protective, 11 SPRET/EiJ loci are protective* * Reduced hazard ratio indicates protective effect of a given genotype

Candidate plasma cytokines/chemokines associated with delayed/ reduced likelihood of development of mammary tumor after 10 cgy exposure to the host and implantation of Trp53 null mammary explants

Interactions of the host environment with low dose radiation: Does the hormonal profile impact low dose radiation responses and mammary tumor risk? Approach: Measure and analyze MG transcriptome and immune system changes during the estrus cycle in mice sensitive to mammary tumorigenesis post-ir (BALB/c) or mice resistant to mammary tumorigenesis post-ir (C57BL/6). Studies performed with and without LDIR (JGI: RNA seq) Estrous Variation C57BL/6 (R) BALB/c (S) Diestrus Proestrus Estrus Low Dose Response C57BL/6 (R) BALB/c (S) 3 days 10 cgy & Sham

Mammary gland gene transcript levels vary with genotype and estrous stage: upregulation of IRF-7 regulated genes in both glands in proestrus, but little or no effect of 10 cgy (not shown) Snijders, A.M., et al. Oncotarget, 5:4011-4025, 2014 White = BALB/c; Black = C57BL/6; Gray = common Example: IFIT1, an IRG-7 regulated gene, goes up in proestrus in BALB/c

Blood lymphocyte studies and plasma cytokine studies: Hormonal regulation and low dose sensitivity in mice sensitive to IR-induced mammary tumors Snijders, A.M., et al. Oncotarget, 5:4011-4025, 2014 Sham irradiation: Only BALB/c PBL counts fluctuate with estrus stage Plasma cytokine changes with estrus stage in BALB/c only (not shown) 10cGy reduces PBL counts in BALB/c mice only. Irradiation in a single phase of estrous cycle Plasma cytokine changes in BALB/c mice after 10 cgy (not shown). Irradiation in a single phase of estrous cycle

Novel imaging technologies reveal apparent non-linear yields of radiation-induced foci associated with early DNA damage: MCF10A cells with 53bp1-GFP evaluated by live cell imaging Neumaier, T., et al., PNAS (USA) 109: 443-448, 2012 10 cgy 100 cgy

High Impact Science & Technology Are risks associated with radia(on truly linear with respect to dose? Approach: Ø Track cells and repair foci live, through cell division, using microfluidic chamber and minix in-scope irradiator (new device and custom software, S. Costes) Ø Use registration algorithms and maximum projection to identify 3D repair sub-domains (RIFs) and changes over time/division Ø Use data in Monte Carlo simulations to model how DSB clustering impacts cell death, chromosome rearrangements and dose response DSB Interaction model Vadhavkar et al., Radia0on Research, 182(3):273-281. 2014 Recent paper by Vadhavkar, N., et al. Radiation Res. 182:273-281, 2014 fits models based on RIF frequency/clustering to predict cell death as a function of dose for different radiation qualities Domain model RIF

COSMIC SILENCE Hypothesis Life has evolved on Earth for 3 billion years in the presence of environmental ionizing radia0ons, able to induce modifica0on/damage at the level of DNA. All organisms are subjected to a daily s0mulus consis0ng of ultra- low- dose environmental radia0on that could act as a condi0oning agent, making them more efficient in ac0va0ng DNA repair mechanisms. COSMIC SILENCE Aim of the Project To inves0gate the role of environmental radia0on on living organisms i) Evalua0on of the impact of environment ii) Analysis of the modula0on of the response to genotoxic agents in biological systems grown in normal or reduced presence of environmental radia0on

Summary 1 Biological studies have highlighted the role of genetic background in the determination of risks of cancer induction following low dose exposure to ionizing radiation. Modern omics approaches have identified candidate loci that regulate low dose tumorigenesis in mouse models. These findings may be useful in future molecular epidemiologic studies. Coordinated research has also identified candidate biomarkers of exposure at short times after low dose exposure that reflect the influence of genetic background and that are associated with the risk of cancer development at later times.

Summary 2 Advanced imaging technology, notably live cell imaging, has raised questions regarding the interpretation of data generated with static imaging methods to assess low dose response.. Model development provides testable hypotheses regarding cellular responses to ionizing radiation as a function of dose.. This approach may ultimately help refine the shape of the dose-response curve at low doses for key steps along the path to cancer development. The role of natural background radiation in the regulation of response to subsequent environmental challenges is being examined in a series of well-controlled investigations.