Is there a genomic fingerprint of Radon (Rn)-induced lung cancer (LC)? Comparison of genomic alterations in LC specimens from high and low Rn zones.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 1572-1572
Author(s):  
Hina Khan ◽  
Harish Saiganesh ◽  
Adam J. Olszewski ◽  
Yasmine Baca ◽  
Michaela Kastura ◽  
...  

1572 Background: Rn-222 is a radioactive gas found in rocks and soil. It emits alpha particles that cause dsDNA breaks and increase potential for carcinogenesis. Rn is the 2nd leading cause of LC in the US after smoking. EPA estimates >15,000 deaths/yr (9% of LC deaths) from Rn. We hypothesize that the impact of Rn exposure may be reflected in LC gene mutation (mut) profiles. Methods: Using commercial NGS assays, we retrospectively analyzed genomic DNA alterations in FFPE specimens from 159 LC patients (pts) from the Lifespan Cancer Institute in Rhode Island (2014- 2019), followed by validation in a larger cohort of 5,532 pts using Caris platform. Based on EPA Rn maps, we identified counties with high indoor Rn levels (>4 pci/L; HR), and compared gene mut patterns with those from low Rn zones (<4 pci/L; LR). Based on pt’s zip code of residence, we categorized them to HR and LR. In the validation cohort, p values adjusted for multiple comparison (q) of < .05 were considered significant. Results: In the pilot cohort, 35 pts (22%) were in HR and 124 (78%) in LR zones. Adenocarcinoma histology was most frequent (73%) and smoking prevalence was high (75%) in both groups. Most prevalent alterations were TP53, KRAS and CDKN2A muts. In the HR, we noted more frequent recurrent muts in 2 DNA repair genes (DDR): ATM (11 vs 1%, p= .00086) and CHEK2 (6 vs 0%, p= .047) when compared to LR group. When classified into major pathways implicated in lung carcinogenesis, higher frequency of mutations were seen in DDR in HR zones vs. LR (29 vs 13%, p= .038). In the validation cohort, 1,433 (26%) pts were in HR and 4099 (74%) in LR zones. Among the DDR genes, ATM muts in HR group tended to be more frequent (4.7 vs 3.4% in LR, p= .03) as well as PALB2 (0.9 vs 0.4%, p= .02) while no difference seen in CHEK2. Other genes with significantly higher prevalence in HR were TP53, SMARCA4 and NFE2L2 (q< .05); while KMT2D, KEAP1, CDKN2A, MET, NF2, DNMT3A, CCND1 and FAS show a trend (p< .05). EGFR muts were significantly more frequent in LR zones (8.4 vs 14.6%, q= .001). Similar to the pilot cohort, DDR pathway alterations trend to be higher in HR zones (14 vs 12%, p= .05). Using a high TMB cut-off >10, tumors from HR zones had significantly higher TMB when compared to LR zones (56 vs 48%, q= .0005). Conclusions: To our knowledge, this is the first attempt to elucidate the pathobiology of Rn induced LC using gene mut analyses. Our observations suggest that LC associated with higher Rn exposure may have disabled DNA repair pathways and higher TMB. Assuming uniform tobacco smoke exposure, higher Rn was not associated with EGFR mut.

2020 ◽  
Vol 8 (4) ◽  
pp. 292 ◽  
Author(s):  
Malcolm L. Spaulding ◽  
Annette Grilli ◽  
Chris Damon ◽  
Reza Hashemi ◽  
Soroush Kouhi ◽  
...  

Many coastal communities in the US use base flood elevation (BFE) maps for the 100-year return period, specified on Federal Emergency Management Agency (FEMA) Flood Insurance Rate Maps (FIRMs), to design structures and infrastructure. The FIRMs are increasingly known to have serious problems in accurately specifying the risk coastal communities face, as most recently evidenced during hurricanes Harvey and Irma in 2017 and Florence and Michael in 2018. The FIRM BFE maps also do not include the impact of sea level rise, which clearly needs to be considered in the design of coastal structures over the next several decades given recent National Oceanic and Atmospheric Administration (NOAA) sea level rise (SLR) projections. Here, we generate alternative BFE maps (STORMTOOLS Design Elevation (SDE) maps) for coastal waters of Rhode Island (RI) using surge predictions from tropical and extratropical storms of the coupled surge-wave models from the US Army Corp of Engineers, North Atlantic Comprehensive Coast Study (NACCS). Wave predictions are based on application of a steady state, spectral wave model (STWAVE), while impacts of coastal erosion/accretion and changes of geomorphology are modeled using XBeach. The high-resolution application of XBeach to the southern RI shoreline has dramatically increased the ability to represent the details of dune erosion and overtopping and the associated development of surge channels and over-wash fans and the resulting landward impact on inundation and waves. All methods used were consistent with FEMA guidelines for the study area and used FEMA-approved models. Maps were generated for 0, 2 ft (0.6 m), 5 ft (1.5 m), 7 ft (2.1 m), and 10 ft (3.1 m) of sea level rise, reflecting NOAA high estimates at various times for the study area through 2100. Results of the simulations are shown for both the southern RI shoreline (South Coast) and Narragansett Bay, to facilitate communication of projected BFEs to the general public. The maps are hosted on the STORMTOOLS ESRI Hub to facilitate access to the data. They are also now part of the RI Coastal Resources Management Council (CRMC) risk-based permitting system. The user interface allows access to all supporting data including grade elevation, inundation depth, and wave crest heights as well as corresponding FEMA FIRM BFEs and associated zones.


2018 ◽  
Vol 43 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Carina Van Rooyen ◽  
Ruth Stewart ◽  
Thea De Wet

Big international development donors such as the UK’s Department for International Development and USAID have recently started using systematic review as a methodology to assess the effectiveness of various development interventions to help them decide what is the ‘best’ intervention to spend money on. Such an approach to evidence-based decision-making has long been practiced in the health sector in the US, UK, and elsewhere but it is relatively new in the development field. In this article we use the case of a systematic review of the impact of microfinance on the poor in sub-Saharan African to indicate how systematic review as a methodology can be used to assess the impact of specific development interventions.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


Author(s):  
Asfandyar Mir ◽  
Dylan Moore

Abstract We investigate the impact of the US drone program in Pakistan on insurgent violence. Using details about US-Pakistan counterterrorism cooperation and geocoded violence data, we show that the program was associated with monthly reductions of around nine to thirteen insurgent attacks and fifty-one to eighty-six casualties in the area affected by the program. This change was sizable, as in the year before the program, the affected area experienced around twenty-one attacks and one hundred casualties per month. Additional quantitative and qualitative evidence suggests that this drop is attributable to the drone program. However, the damage caused in strikes during the program cannot fully account for the reduction. Instead, anticipatory effects induced by the program played a prominent role in subduing violence. These effects stemmed from the insurgents’ perception of the risk of being targeted in drone strikes; their efforts to avoid targeting severely compromised their movement and communication abilities, in addition to eroding within-group trust. These findings contrast with prominent perspectives on air-power, counterinsurgency, and US counterterrorism, suggesting select drone deployments can be an effective tool of counterinsurgency and counterterrorism.


Horticulturae ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 82
Author(s):  
Amandeep Kaur ◽  
Louise Ferguson ◽  
Niels Maness ◽  
Becky Carroll ◽  
William Reid ◽  
...  

Pecan is native to the United States. The US is the world’s largest pecan producer with an average yearly production of 250 to 300 million pounds; 80 percent of the world’s supply. Georgia, New Mexico, Texas, Arizona, Oklahoma, California, Louisiana, and Florida are the major US pecan producing states. Pecan trees frequently suffer from spring freeze at bud break and bloom as the buds are quite sensitive to freeze damage. This leads to poor flower and nut production. This review focuses on the impact of spring freeze during bud differentiation and flower development. Spring freeze kills the primary terminal buds, the pecan tree has a second chance for growth and flowering through secondary buds. Unfortunately, secondary buds have less bloom potential than primary buds and nut yield is reduced. Spring freeze damage depends on severity of the freeze, bud growth stage, cultivar type and tree age, tree height and tree vigor. This review discusses the impact of temperature on structure and function of male and female reproductive organs. It also summarizes carbohydrate relations as another factor that may play an important role in spring growth and transition of primary and secondary buds to flowers.


2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 806-807
Author(s):  
Philip Buck

Abstract The incidence of vaccine-preventable diseases remains high among older adults in the US, despite longstanding immunization recommendations, and is projected to increase as the population ages. The impact of US population aging on the burden of four vaccine-preventable diseases (influenza, pneumococcal disease, shingles, and pertussis) was modeled over a 30-year time horizon, with cumulative direct and indirect costs increasing from $378 billion over 10 years to $1.28 trillion over 30 years. Compared to current levels of vaccination coverage, increasing coverage was predicted to avert over 33 million cases of disease and greater than $96 billion in disease-associated costs, with a corresponding increase in vaccination costs of approximately $83 billion over the entire 30-year time period. Specific examples of cost-effectiveness analyses that assess the epidemiologic and economic impact of vaccination against shingles and pertussis in older adults will be discussed. Part of a symposium sponsored by the Health Behavior Change Interest Group.


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