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Relationship: 1983


The title of the KER should clearly define the two KEs being considered and the sequential relationship between them (i.e., which is upstream and which is downstream). Consequently all KER titles take the form “upstream KE leads to downstream KE”.  More help

Energy Deposition leads to Increase, lung cancer

Upstream event
Upstream event in the Key Event Relationship. On the KER page, clicking on the Event name under Upstream Relationship will bring the user to that individual KE page. More help
Downstream event
Downstream event in the Key Event Relationship. On the KER page, clicking on the Event name under Upstream Relationship will bring the user to that individual KE page. More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes. Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

This table is automatically generated upon addition of a KER to an AOP. All of the AOPs that are linked to this KER will automatically be listed in this subsection. Clicking on the name of the AOP in the table will bring you to the individual page for that AOP. More help
AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Direct deposition of ionizing energy leading to lung cancer non-adjacent Moderate Moderate Vinita Chauhan (send email) Under development: Not open for comment. Do not cite EAGMST Under Review

Taxonomic Applicability

Select one or more structured terms that help to define the biological applicability domain of the KER. In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER. Authors can indicate the relevant taxa for this KER in this subsection. The process is similar to what is described for KEs (see pages 30-31 and 37-38 of User Handbook) More help
Term Scientific Term Evidence Link
human Homo sapiens High NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI

Sex Applicability

Authors can indicate the relevant sex for this KER in this subsection. The process is similar to what is described for KEs (see pages 31-32 of the User Handbook). More help
Sex Evidence
Unspecific High

Life Stage Applicability

Authors can indicate the relevant life stage for this KER in this subsection. The process is similar to what is described for KEs (see pages 31-32 of User Handbook). More help
Term Evidence
All life stages High

Key Event Relationship Description

Provide a brief, descriptive summation of the KER. While the title itself is fairly descriptive, this section can provide details that aren’t inherent in the description of the KEs themselves (see page 39 of the User Handbook). This description section can be viewed as providing the increased specificity in the nature of upstream perturbation (KEupstream) that leads to a particular downstream perturbation (KEdownstream), while allowing the KE descriptions to remain generalised so they can be linked to different AOPs. The description is also intended to provide a concise overview for readers who may want a brief summation, without needing to read through the detailed support for the relationship (covered below). Careful attention should be taken to avoid reference to other KEs that are not part of this KER, other KERs or other AOPs. This will ensure that the KER is modular and can be used by other AOPs. More help

Ionizing energy can traverse matter to induce biological damage. Tissue regions and cell types that are within depths of the traversable energy particles then have a higher likely hood of becoming transformed into malignant tumours (NRC 1990; Axelson 1995; Jostes 1996; NRC 1999; Kendall and Smith 2002; Al-Zoughool and Krewski 2009; Robertson et al. 2013). This multistep process is initiated by ionizations within the cell (L.E. Smith et al. 2003; Christensen 2014). If these ionizations hit DNA molecules, DNA damage is incurred, possibly in the form of double-strand breaks (DSBs) (J. Smith et al. 2003; Okayasu 2012; Lomax et al. 2013; Rothkamm et al. 2015). Inadequately repaired DNA damage could further lead to mutations and chromosomal aberrations (CAs), which often accumulate in the cell and disrupt the cellular dynamic. If these aberrations affect critical genes involved in the control of cell-cycle checkpoints it can promote uncontrolled cellular proliferation. An abnormally high rate of proliferation in cells of the respiratory tract can lead to lung  tumourigenesis (Bertram 2001; Vogelstein and Kinzler 2004; Panov 2005; Hanahan and Weinberg 2011). Radon gas exposure at high levels is especially linked to carcinogenesis of the lung (Axelson 1995; Miller et al. 1996; NRC 1999; Kendall and Smith 2002; Al-Zoughool and Krewski 2009; Robertson et al. 2013).

Evidence Supporting this KER

Assembly and description of the scientific evidence supporting KERs in an AOP is an important step in the AOP development process that sets the stage for overall assessment of the AOP (see pages 49-56 of the User Handbook). To do this, biological plausibility, empirical support, and the current quantitative understanding of the KER are evaluated with regard to the predictive relationships/associations between defined pairs of KEs as a basis for considering WoE (page 55 of User Handbook). In addition, uncertainties and inconsistencies are considered. More help
Biological Plausibility
Define, in free text, the biological rationale for a connection between KEupstream and KEdownstream. What are the structural or functional relationships between the KEs? For example, there is a functional relationship between an enzyme’s activity and the product of a reaction it catalyses. Supporting references should be included. However, it is recognised that there may be cases where the biological relationship between two KEs is very well established, to the extent that it is widely accepted and consistently supported by so much literature that it is unnecessary and impractical to cite the relevant primary literature. Citation of review articles or other secondary sources, like text books, may be reasonable in such cases. The primary intent is to provide scientifically credible support for the structural and/or functional relationship between the pair of KEs if one is known. The description of biological plausibility can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured (see page 40 of the User Handbook for further information).   More help

There is strong biological plausibility for the association between the direct deposition of energy by ionizing radiation and lung cancer incidence. The majority of the evidence is drawn from studies using radon gas as the stressor. Radon, a radioactive noble gas, is considered to be the second leading cause of lung cancer, behind smoking (Robertson et al. 2013; Rodríguez-Martínez et al. 2018)(Axelson 1995; Miller et al. 1996; NRC 1999; Kendall and Smith 2002; Al-Zoughool and Krewski 2009; Robertson et al. 2013). Deposited energy from radiation in the form of particles can enter the body most often through inhalation (NRC 1999; Kendall and Smith 2002).  These particles can deposit onto lung tissue and decay, producing harmful radiation (Axelson 1995; NRC 1999; Kendall and Smith 2002; Al-Zoughool and Krewski 2009). The radiation can ionize molecules within the cell and initiate the process of lung cancer. There are numerous reviews available detailing the molecular biology involved in lung carcinogenesis (Zabarovsky et al. 2002; Danesi et al. 2003; Massion and Carbone 2003; Panov 2005; Sher et al. 2008; Brambilla and Gazdar 2009; Eymin and Gazzeri 2009; Sanders and Albitar 2010; Larsen and Minna 2011; Santos et al. 2011) and discussing potential therapeutic options for lung cancer patients (Danesi et al. 2003; Massion and Carbone 2003; Sher et al. 2008; Eymin and Gazzeri 2009; PhD and MD 2011; Santos et al. 2011). Briefly there are three cellular steps: initiation, promotion and progression (reviewed by Gilbert 2009).  Initiation refers to the interaction between the cell and the cancer-inducing agent, in this case ionizing radiation. The end-result of this interaction is irreversible genetic change(s) (NRC 1990; Pitot 1993). This, in turn, may lead to malfunctions in various pathways and, as the cell continues cycling, increasing genomic instability (NRC 1990). The promotion phase occurs when a promotor is applied to the irradiated cells and reversibly alters gene expression in an epigenetic fashion (NRC 1990; Pitot 1993), often by binding to its respective receptor (Pitot 1993). The promotor is not carcinogenic if applied alone, but it is capable of enhancing the oncogenic effect of the radiation (NRC 1990). For example, phorbol ester 12-O-tetradecanoylphorbol-13-acetate (TPA) is often used as a promotor and was shown to enhance the oncogenic effects of X-ray radiation when applied to C3H/10T½ cells in culture (Kennedy et al. 1978). In some cases, if the dose of the initiator is high enough, the promotion phase may be bypassed altogether (NRC 1990; Pitot 1993). The final irreversible stage of carcinogenesis is progression, which can be boosted by radiation exposure. This is defined as the point at which the benign tumour becomes malignant due to an accumulation of genetic abnormalities, including mutations and chromosomal aberrations. At this point, the tumour grows rapidly due to high rates of cell proliferation, and the levels of genomic instability continue to increase (NRC 1990; Pitot 1993).

Uncertainties and Inconsistencies
In addition to outlining the evidence supporting a particular linkage, it is also important to identify inconsistencies or uncertainties in the relationship. Additionally, while there are expected patterns of concordance that support a causal linkage between the KEs in the pair, it is also helpful to identify experimental details that may explain apparent deviations from the expected patterns of concordance. Identification of uncertainties and inconsistencies contribute to evaluation of the overall WoE supporting the AOPs that contain a given KER and to the identification of research gaps that warrant investigation (seep pages 41-42 of the User Handbook).Given that AOPs are intended to support regulatory applications, AOP developers should focus on those inconsistencies or gaps that would have a direct bearing or impact on the confidence in the KER and its use as a basis for inference or extrapolation in a regulatory setting. Uncertainties that may be of academic interest but would have little impact on regulatory application don’t need to be described. In general, this section details evidence that may raise questions regarding the overall validity and predictive utility of the KER (including consideration of both biological plausibility and empirical support). It also contributes along with several other elements to the overall evaluation of the WoE for the KER (see Section 4 of the User Handbook).  More help

Uncertainties and inconsistencies in this KER are as follows:

  1. Studies have shown that dose-rates (Brooks et al. 2016) and radiation quality (Nikjoo et al. 1997; Sutherland et al. 2000; Jorge et al. 2012) are factors that can influence the dose-response relationship.  
  2. Low-dose radiation has been observed to have beneficial effects and may even invoke protection against spontaneous genomic damage and induced mutations (Feinendegen 2005; Day et al. 2007; Feinendegen et al. 2007; Shah et al. 2012; Nenoi et al. 2015).
  3. Deposition of ionizing energy is a stochastic event; as such, the nucleus is not the only region that may be affected by radiation exposure. In vitro evidence has shown that ionizing radiation may also cause genotoxic effects when deposited in the cytoplasm (Wu et al. 1999).
  4. When analyzing the relationship between radiation exposure and lung cancer in miners, other confounding carcinogen exposures, including silica, diesel engine exhaust, arsenic and tobacco, should also be accounted for (Cocco et al. 1994; Hazelton et al. 2001; Cao et al. 2017).
  5. There are inherent difficulties in measuring radon exposures in the general public. Residential radon levels are measured using alpha trackers, but people all have different lifestyles and spend differing amounts of time in their home. Furthermore, it is very common for people to move from home to home. These factors challenge the ability to accurately estimate an individual’s radon exposure and thus to extrapolate this to lung cancer risk (Axelson 1995; Robertson et al. 2013).
  6. While some of the epidemiological studies summarized in a systemic review by Torres-Duran et al (2014) showed an association between residential radon exposure and lung cancer, others did not. This is a result of uncertainties in dosimetric considerations, radon exposure levels, confounders such as smoking
  7. There has been controversy surrounding the ICRP-reported dose coefficients being used to estimate risk from radon exposure. These coefficients were different across several ICRP reports and thus gave different estimates of risk for an identical radon exposure scenario. A report by Muller (2016) highlighted these controversies and summarized the results of a radon workshop addressing the situation (Müller et al. 2016). 
  8. A paper by Zarnke (2019) critiques the conclusions drawn by the BEIR VI report regarding radon exposure and health effects. Based upon the authors’ analyses, radon exposure in the home is not linked to lung cancer, and may in fact be protective against smoking-induced lung cancer.
Response-response Relationship
This subsection should be used to define sources of data that define the response-response relationships between the KEs. In particular, information regarding the general form of the relationship (e.g., linear, exponential, sigmoidal, threshold, etc.) should be captured if possible. If there are specific mathematical functions or computational models relevant to the KER in question that have been defined, those should also be cited and/or described where possible, along with information concerning the approximate range of certainty with which the state of the KEdownstream can be predicted based on the measured state of the KEupstream (i.e., can it be predicted within a factor of two, or within three orders of magnitude?). For example, a regression equation may reasonably describe the response-response relationship between the two KERs, but that relationship may have only been validated/tested in a single species under steady state exposure conditions. Those types of details would be useful to capture.  More help

Overall, studies suggest that there is a positive relationship between radiation exposure and lung cancer risk. A direct basis for the link has been provided by epidemiological studies in miners occupationally exposed to radon (UNSCEAR 2006, Lubin et al. 1995; Ramkissoon et al. 2018). In a study of tin miners exposed to radon, there was an increasing risk of lung cancer with increasing radon exposure (Hazelton et al. 2001). This positive relationship has likewise also been found in residential radon studies (Darby et al. 2005; Krewski et al. 2005; Krewski et al. 2006). A large systemic review encompassing miner cohort studies, pooled population studies, and case-control studies showed a strong association between residential radon concentration and lung cancer (Rodríguez-Martínez et al. 2018).  Mechanistic in vitro (Miller et al. 1995) and in vivo (Monchaux et al. 1994) experimental models also provide data to support this relationship.

This sub-section should be used to provide information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). This can be useful information both in terms of modelling the KER, as well as for analyzing the critical or dominant paths through an AOP network (e.g., identification of an AO that could kill an organism in a matter of hours will generally be of higher priority than other potential AOs that take weeks or months to develop). Identification of time-scale can also aid the assessment of temporal concordance. For example, for a KER that operates on a time-scale of days, measurement of both KEs after just hours of exposure in a short-term experiment could lead to incorrect conclusions regarding dose-response or temporal concordance if the time-scale of the upstream to downstream transition was not considered. More help

There is some quantitative data available regarding the time scale between radiation exposure and the development of lung cancer. In vitro oncogenic transformations were evident 6 weeks after cells were irradiated with X-rays or charged particles of varying LETs (Miller et al. 1995). Similarly, irradiated, tumourigenic bronchial epithelial cells were able to induce tumour growth within 13 weeks of injection into nude mice; tumours reached a size of 0.6 - 0.7 cm by 6 months post-inoculation. In comparison, unirradiated implanted cells did not induce tumour growth (Hei et al. 1994). Epidemiology studies also suggest that lung cancers are detected years after exposure to radiation (Lubin et al. 1995; Darby et al. 2005; Torres-Durán et al. 2014; Rodríguez-Martínez et al. 2018; Ramkissoon et al. 2018). Exposure to radon for longer periods of time predicts an increased relative risk of lung cancer; this risk increased with increasing duration of exposure over 5, 10 and 20 years (Lubin et al. 1995). In a study of tin miners, there were sharp increases in risk at approximately 40 years since first exposure and approximately 40 years since last exposure (Hazelton et al. 2001).

Known modulating factors
This sub-section presents information regarding modulating factors/variables known to alter the shape of the response-response function that describes the quantitative relationship between the two KEs (for example, an iodine deficient diet causes a significant increase in the slope of the relationship; a particular genotype doubles the sensitivity of KEdownstream to changes in KEupstream). Information on these known modulating factors should be listed in this subsection, along with relevant information regarding the manner in which the modulating factor can be expected to alter the relationship (if known). Note, this section should focus on those modulating factors for which solid evidence supported by relevant data and literature is available. It should NOT list all possible/plausible modulating factors. In this regard, it is useful to bear in mind that many risk assessments conducted through conventional apical guideline testing-based approaches generally consider few if any modulating factors. More help

There are several agents, summarized in the NRC 1990 report, that may affect radiation-mediated oncogenic transformations/carcinogenesis. Some agents can enhance the effects of radiation to increase the accumulation of oncogenic characteristics. These include hydroxyurea and 12-O-tetradecanoyl-phorbol-acetate (TPA) (NRC 1990). The effects of hydroxyurea were seen within 11 hours of treatment (Hahn et al. 1986), while the effects of TPA were evident both immediately following irradiation, and up to 96 hours post-irradiation (Kennedy et al. 1978). Other agents may reduce the effectiveness of radiation-induced malignant transformations. Suppressors of radiation-mediated oncogenic transformations include antipain (a protease inhibitor), selenium, and 5-aminobenzamide. Hormone levels may also have an effect on the radiation-carcinogenesis relationship. For example, high levels of thyroid hormone T3 worked synergistically with radiation to enhance oncogenic characteristics, while low T3 levels antagonized the effects of radiation (NRC 1990).

Known Feedforward/Feedback loops influencing this KER
This subsection should define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits? In some cases where feedback processes are measurable and causally linked to the outcome, they should be represented as KEs. However, in most cases these features are expected to predominantly influence the shape of the response-response, time-course, behaviours between selected KEs. For example, if a feedback loop acts as compensatory mechanism that aims to restore homeostasis following initial perturbation of a KE, the feedback loop will directly shape the response-response relationship between the KERs. Given interest in formally identifying these positive or negative feedback, it is recommended that a graphical annotation (page 44) indicating a positive or negative feedback loop is involved in a particular upstream to downstream KE transition (KER) be added to the graphical representation, and that details be provided in this subsection of the KER description (see pages 44-45 of the User Handbook).  More help

Not identified.

Domain of Applicability

As for the KEs, there is also a free-text section of the KER description that the developer can use to explain his/her rationale for the structured terms selected with regard to taxonomic, life stage, or sex applicability, or provide a more generalizable or nuanced description of the applicability domain than may be feasible using standardized terms. More help

The domain of applicability for this KER is multicellular organisms that possess lungs.


List of the literature that was cited for this KER description using the appropriate format. Ideally, the list of references should conform, to the extent possible, with the OECD Style Guide (OECD, 2015). More help

Al-Zoughool, M. & D. Krewski (2009), "Health effects of radon: A review of the literature.", Int. J. Radiat. Biol., 85(1):57–69. doi:10.1080/09553000802635054.

Axelson, O. (1995), "Cancer risks from exposure to radon in homes.", Environ Health Perspect. 103(Suppl 2):37-43, doi: 10.1289/ehp.95103s237

Bertram, J.S. (2001), "The molecular biology of cancer.", Mol. Aspects. Med. 21:166–223. doi:10.1016/S0098-2997(00)00007-8.

Brambilla, E. & A. Gazdar (2009), "Pathogenesis of lung cancer, a roadmap for therapies.", Eur. Respir. J., 33(6):1485–1497. doi:10.1183/09031936.00014009.

Brooks, A.L., D.G. Hoel & R.J. Preston (2016), "The role of dose rate in radiation cancer risk: evaluating the effect of dose rate at the molecular, cellular and tissue levels using key events in critical pathways following exposure to low LET radiation.", Int. J. Radiat. Biol. 92(8):405–426. doi:10.1080/09553002.2016.1186301.

Cao, X. et al. (2017), "Radon-induced lung cancer deaths may be overestimated due to failure to account for confounding by exposure to diesel engine exhaust in BEIR VI miner studies.", PLoS One. 12(9):1–15. doi:10.1371/journal.pone.0184298.

Christensen, D.M. (2014), "Management of Ionizing Radiation Injuries and Illnesses, Part 3: Radiobiology and Health Effects of Ionizing Radiation.", J. Am. Osteopath Assoc., 114(7):556–565. doi:10.7556/jaoa.2014.109.

Cocco, P.L. et al. (1994), "Mortality of Sardinian lead and zinc miners: 1960-88.", Occup Environ Med., 51(10):674–682., doi:10.1136/oem.51.10.674.

Danesi, R. et al. (2003), "Pharmacogenetics of Anticancer Drug Sensitivity in Non-Small Cell Lung Cancer." 55(1):57-103. doi:10.1124/pr.

Darby, S. et al. (2005), "Radon in homes and risk of lung cancer: Collaborative analysis of individual data from 13 European case-control studies.", Br Med J., 330(7485):223–226. doi:10.1136/bmj.38308.477650.63.

Day, T.K. et al. (2007), "Adaptive Response for Chromosomal Inversions in pKZ1 Mouse Prostate Induced by Low Doses of X Radiation Delivered after a High Dose.", Radiat Res. 167(6):682–692. doi:10.1667/rr0764.1.

Eymin, B. & S. Gazzeri (2010), "Role of cell cycle regulators in lung carcinogenesis.", Cell Adh Migr. 4(1):114–123.

Feinendegen, L.E. (2005), "UKRC 2004 debate Evidence for beneficial low level radiation effects and radiation hormesis. Radiology.", 78:3–7. doi:10.1259/bjr/63353075.

Feinendegen, L.E., M. Pollycove & R.D. Neumann (2007), "Whole-body responses to low-level radiation exposure: New concepts in mammalian radiobiology.", Exp. Hematol. 35(4 SUPPL.):37–46. doi:10.1016/j.exphem.2007.01.011.

Gilbert, E.S. (2009), "Ionizing Radiation and Cancer Risks: What Have We Learned.", Int. J. Radiat. Biol., 85(6):467–482, doi:10.1080/09553000902883836.

Hahn, P. et al. (1986), "Chromosomal Changes without DNA Overproduction in Hydroxyurea-treated Mammalian Cells: Implications for Gene Amplification.", Cancer Res. Cancer Research. 46(9):4607-12.

Hanahan, D. & R.A. Weinberg (2011), "Review Hallmarks of Cancer: The Next Generation.", Cell. 144(5):646–674. doi:10.1016/j.cell.2011.02.013.

Hazelton, W.D. et al. (2001), "Analysis of a Historical Cohort of Chinese Tin Miners with Arsenic, Radon, Cigarette Smoke, and Pipe Smoke Exposures Using the Biologically Based Two-Stage Clonal Expansion Model.", Radiat Res. 156(1):78–94. doi:10.1667/0033-7587(2001)156[0078:aoahco];2.

Health Canada - Radon Guid. 2017. Guide for Radon Measurements in Residential Dwellings. :1–22.

Hei, T.K et al. (1994), "Malignant transformatin of human bronchial epithelial cells by radon-simulated α-particles.", Carcinogenesis 15(3):431-437, doi: 10.1093/carcin/15.3.431.

Hofmann, W. et al. (2002), "Energy deposition, cellular radiation effects and lung cancer risk by radon progeny alpha particles.", Radiat Prot Dosimetry, 99(1–4):453–456. doi:10.1093/oxfordjournals.rpd.a006830.

Jorge, S.-G. et al. (2012), "Evidence of DNA double strand breaks formation in Escherichia coli bacteria exposed to alpha particles of different LET assessed by the SOS response.", Appl. Radiat. Isot. 71(SUPPL.):66–70. doi:10.1016/j.apradiso.2012.05.007.

Jostes, R.F. (1996), "Genetic, cytogenetic, and carcinogenic effects of radon: a review.", Mutat. Res. / Rev. in Genet. Toxicol. 340(2-3):125–139. doi: 10.1016/s0165-1110(96)90044-5.

Kendall, G.M. & T.J. Smith (2002), "Doses to organs and tissues from radon and its decay.", Journal of Radiological Protection. 22(4):389-406.doi:10.1088/0952-4746/22/4/304.

Kennedy, A.R. et al. (1978), "Enhancement of X-ray Transformation by 12-O-Tetradecanoyl-phorbol-13- acetate in a Cloned Line of C3H Mouse Embryo Cells1.", Cancer Res. 38(2):439-43.

Krewski, D. et al. (2005), "Residential Radon and Risk of Lung Cancer.", Epidemiology. 16(2):137–145. doi:10.1097/01.ede.0000152522.80261.e3.

Krewski, D. et al. (2006), "A combined analysis of north American case-control studies of residential radon and lung cancer.", J. Toxicol. Environ. Heal. - Part A. 69(7–8):533–597. doi:10.1080/15287390500260945.

Larsen, J.E. & J. Minna (2011), "Molecular Biology of Lung Cancer: Clinical Implications.", Clin. Chest Med., 32(4):703–740. doi:10.1016/j.ccm.2011.08.003.

Lomax, M.E., L.K. Folkes & P.O. Neill (2013). "Biological Consequences of Radiation-induced DNA Damage: Relevance to Radiotherapy", Statement of Search Strategies Used and Sources of Information Why Radiation Damage is More Effective than Endogenous Damage at Killing Cells Ionising Radiation-induced Do. 25:578–585. doi:10.1016/j.clon.2013.06.007.

Lubin, J.H. et al. (1995), "Lung Cancer in Radon-Exposed Miners and Estimation of Risk From Indoor Exposure.", JNCI Journal of the National Cancer Institute. 87(11):817-27.  doi:10.1093/jnci/87.11.817.

Luebeck, E.G. et al. (1999), "Biologically based analysis of the data for the Colorado uranium miners cohort: age, dose and dose-rate effects.", Radiat., Res., 152(4):339-51, doi: 10.2307/3580219.

Massion, P.P. & D.P. Carbone (2003), "The molecular basis of lung cancer: molecular abnormalities and therapeutic implications.", Respiratory Research, 4(1):12, doi: 10.1186/1465-9921-4-12.

Miller, R.C. et al. (1995), "The Biological Effectiveness of Radon-Progeny Alpha Particles.", Radiat. Res. 142(1):61–69. doi:10.2307/3578967.

Miller, R.C. et al. (1996), "The Biological Effectiveness of Radon-Progeny Alpha Particles V . Comparison of Oncogenic Transformation by Accelerator-Produced Monoenergetic Alpha Particles and by Polyenergetic Alpha Particles from Radon Progeny.", Radiat Res., 146(1):75-80. doi: 10.2307/3579398.

Monchaux, G. et al. (1994), "Carcinogenic and Cocarcinogenic Effects of Radon and Radon Daughters in Rats.", Environmental Health Perspectives, 102(1):64-73, doi: 10.1289/ehp.9410264

Müller, W.U. et al. (2016), "Current knowledge on, radon risk: implications for practical radiation protection?", radon workshop, 1/2 December 2015, Bonn, BMUB (Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety). Radiat Environ Biophys. 55(3):267–280. doi:10.1007/s00411-016-0657-2.

Nenoi, M., B. Wang & G. Vares (2015), "In vivo radioadaptive response: A review of studies relevant to radiation-induced cancer risk.", Hum Exp Toxicol. 34(3):272–283. doi:10.1177/0960327114537537.

Nikjoo, H. et al. (1997), "Computational modelling of low-energy electron-induced DNA damage by early physical and chemical events.", Int. J. Radiat. Biol. 71(5):467–483. doi:10.1080/095530097143798.

Beir V. 1990. Health Effects of Exposure to  Low Leveles of Ionizing Radiation. National Academies Press.

Beir V. 1999. Health Effects of Exposure to  Low Leveles of Ionizing Radiation. National Academies Press.

Okayasu, R. (2012), "Repair of DNA damage induced by accelerated heavy ions-A mini review.", Int. J. Cancer. 130(5):991–1000. doi:10.1002/ijc.26445.

Panov, S.Z. (2005), "Molecular biology of the lung cancer.", Radiology and Oncology 39(3):197–210.

Pitot, H. (1993), "The molecular biology of carcinogenesis.", Cancer, 72(S3):962–970, doi: 10.1002/1097-0142(19930801)72:3+3.0.CO;2-H.

Ramkissoon, A. et al. (2018), "Histopathologic Analysis of Lung Cancer Incidence Associated with Radon Exposure among Ontario Uranium Miners.", International Journal of Environmental Research and Public Health 15(11):2413. doi:10.3390/ijerph15112413.

Robertson, A. et al. (2013), "The cellular and molecular carcinogenic effects of radon exposure.", International Journal of Molecular Sciences. 14(7):14024-63.  doi:10.3390/ijms140714024.

Rodríguez-Martínez, Á. et al. (2018), "Residential radon and small cell lung cancer.", Cancer Lett. 426:57–62. doi:10.1016/j.canlet.2018.04.003.

Rothkamm, K. et al. (2015), "Review DNA Damage Foci: Meaning and Significance.", Environ. Mol. Mutagen. 56(6):491-504, doi:10.1002/em.

Rühm, W., M. Eidemüller M & J.C. Kaiser (2017), "Biologically-based mechanistic models of radiation-related carcinogenesis applied to epidemiological data.", Int. J. Radiat., Biol. 93(10):1093-1117. doi: 10.1080/09553002.2017.1310405.

Sanders, H.R. & M. Albitar (2010), "Somatic mutations of signaling genes in non-small-cell lung cancer.", Cancer Genet Cytogenet. 203(1):7–15. doi:10.1016/j.cancergencyto.2010.07.134.

da Cunha Santos, G., F.A. Shepherd & M.S. Tsao (2010), "EGFR Mutations and Lung Cancer.", Annu Rev. Pathol., doi:10.1146/annurev-pathol-011110-130206.

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