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Review

Relevance of Non-Targeted Effects for Radiotherapy and Diagnostic Radiology; A Historical and Conceptual Analysis of Key Players

Department of Biology, McMaster University, Hamilton, ON L8S 4L8, Canada
*
Author to whom correspondence should be addressed.
Cancers 2019, 11(9), 1236; https://doi.org/10.3390/cancers11091236
Submission received: 19 July 2019 / Revised: 16 August 2019 / Accepted: 18 August 2019 / Published: 23 August 2019

Abstract

:
Non-targeted effects (NTE) such as bystander effects or genomic instability have been known for many years but their significance for radiotherapy or medical diagnostic radiology are far from clear. Central to the issue are reported differences in the response of normal and tumour tissues to signals from directly irradiated cells. This review will discuss possible mechanisms and implications of these different responses and will then discuss possible new therapeutic avenues suggested by the analysis. Finally, the importance of NTE for diagnostic radiology and nuclear medicine which stems from the dominance of NTE in the low-dose region of the dose–response curve will be presented. Areas such as second cancer induction and microenvironment plasticity will be discussed.

1. Background History and Pathways Involved in Radiation-Induced Bystander Effects

1.1. Historical Introduction

Marcus Tullius Cicero, a prolific writer, orator, and conservative Roman senator, wrote a rather flowery Latin phrase in “On the Contempt of Death” roughly translating to “I am not ashamed to confess that I am ignorant of what I do not know” (Tusculanae Disputationes) in the years that encapsulated the death throes of the Roman Republic. The idea of accepting ignorance of a specific topic, rather than embracing dubious assumptions, before using rigorous scientific reasoning and experimentation to come to rational conclusions about a particular effect, was and continues to be an essential virtue in the field of radiation biology. Before discussing the contemporary field of radiation biology in relation to the likely relevance for radiation oncology and diagnostic radiology, it is important to understand the historical context of radiobiological research with regard to the different kinds of indirect radiation effects, the DNA-centric paradigm, and specifically, radiation-induced bystander effects (RIBE). Insight into these subjects in a historical context can provide invaluable knowledge for the study of the interaction between radiation and living systems.
Radiation biology is defined as the study of how ionizing radiation interacts with living organisms. The disciplines of radiation biology and molecular biology have been inextricably linked for most of the later part of the twentieth century when biologists began to work alongside physicists in the field. Up until about forty years ago, it was widely assumed that radiation acts on cells primarily through interacting with DNA [1]. This was a convenient model for determining the effects of ionizing radiation on cells, with researchers usually following a model involving direct damage to chromosomes, usually at high doses [1,2]. This so-called “DNA-Centric Paradigm” ensured that, for a time, radiation biology primarily focused on the effect of ionizing radiation on DNA directly, chiefly in the literature dating from the 1930s to the 1980s; as stated in Mothersill et al. [3], “genes were perfect cellular targets [of radiation] and with the discovery of DNA structure, everything seemed to fit and the “inconvenient truths (of radiobiological effects) were ignored”.

1.2. A Brief Review of Indirect Radiation Effects

Indirect effects of radiation are defined as a family of different yet connected radiobiological phenomena that act on living organisms not directly exposed to radiation [4]. The first reference to these effects can be traced back to 1905 [3,5] and began appearing in the literature under different names shortly thereafter. There are four main types of indirect effects, with each effect not being separate or entirely distinguishable from the others. The term “Abscopal Effect” meaning “out of field” refers to effects that appear to manifest in distant tissues from the site of exposure (see discussion in [3,6]). Abscopal effects are not always categorized as completely separate from RIBE [7]. Among all of the other effects, abscopal effects were the most studied in the early historical literature, partly because of their role in cancerous tumor radiotherapy [8,9]. The more historically ambiguous term “Indirect Effect” overlapped with abscopal effects in the past, but was mainly used to refer to more general indirect effects. The historical use and mere existence of this term challenged the commonly held notion that indirect radiation effects were exclusively the result of DNA alterations. One of the first references to this effect can be found in Jolles [10], which simply referenced a possible “diffusible substance” that might cause reactions in surrounding tissue following X-irradiation on a patch of skin. Around the time that the DNA-centric paradigm was most pervasive, the term “Clastogenic Factors” emerged; in hindsight, clastogenic factors are not completely distinguishable from contemporary RIBE either. Projects researching this subfamily mainly focused on chromosomal damage and potential generational effects (see discussion in [3]). “Radiation-Induced Bystander Effects” (RIBE) are generally defined as indirect effects of radiation that are consequent to the production of signals from irradiated cells that induce responses in unirradiated cells (see discussion in [5]). Probably the most important modern discovery among these different families of effects, RIBE research exhaustively perturbed radiobiologists’ preconceptions about the way that radiation interacts with cells, tissues, and living organisms, particularly in the 1980s when the idea was most controversial [1,2,3,11]. The discovery of RIBE was instrumental in the paradigm shift away from DNA in the 1990s [2,3,12,13,14].
Paradigm shifts in biology are often inescapable for researchers. The implications of a huge shift in understanding in any field is far-reaching, affecting researchers and oftentimes, the general public. The history of radiation biology and RIBE is made even more complicated with trenchant, ongoing discourse on models assessing risk for radiation exposure, such as the controversial Linear Non-Threshold Model (LNT), whose proponents cite extensive review, practicality, and ease of application [15,16,17], and whose critics refer to the need for a system-level approach incorporating non-human species, inherent uncertainty in low doses of radiation and indirect effects, misleading data that can lead to public hysteria, and extensive conflicting data [2,3,18,19,20]. This prolonged debate between radiobiologists and its effect on radiation protection policy revision necessitates thorough understanding of the equally important topics of direct and indirect radiation effects. Much of the history predating and following the 1990s paradigm shift is covered in Mothersill and Seymour [1,12], and most recently in Mothersill et al. [3]. A brief summary follows.

1.3. Introduction to Modern Studies of RIBE

A series of early experiments by Jolles [10,21] determined that a bystander-like effect can be observed by examining surrounding tissue of an area exposed to X-rays. A paper by Parsons et al. [22] marked a watershed in the history of research into RIBE, although it was ignored until the start of this century [1]. Parsons et al. showed a reduction of cells in the sternal bone marrow of patients with chronic granulocytic leukemia who had been exposed to X-rays distant from the site of exposure. In the 1980s, a group of researchers began to challenge commonly accepted models of the action of ionizing radiation on tissues. Seymour et al. described so-called “lethal mutations” in 1986, Pampfer and Streffer described an in vivo type of genomic instability in 1989 and Kadhim et al. showed the appearance of delayed non-clonal chromosomal instability in 1992 [11,23,24]. The first modern report of bystander effects in non-irradiated cells was published in 1992 by Nagasawa and Little [25]. They examined the induction of sister chromatid exchanges in Chinese hamster ovary cells after exposure to very low fluences of alpha-particles; they noted that while less than 1% of nuclei were directly exposed, 30% of cells showed an increased frequency of sister chromatid exchanges. This research emerged during a time when many labs were beginning to question similar, DNA-centric assumptions that were present in radiation research previously (discussed in Mothersill and Seymour [1]).
Communication of the bystander signal has been studied extensively in the literature. Primarily, two forms of propagation emerged: soluble factors and gap-junction intercellular communication (GJIC). The former was studied in the literature through culture medium transfer experiments, the results of which imply that the effect can be propagated by soluble factors [26]. The latter form of communication is similar to the first; however, communication occurs between adjacent cells connected by gap junctions [27]. Recently, it was found that physical signals including UV biophotons can be released from irradiated cells that also induce bystander effects in surrounding cells [28,29,30,31]. Research into the communication of these signals is still ongoing in laboratories around the world. New research techniques point to a potential role for exosome communication and signaling mRNAs [29,32,33]. In addition to determining the mechanics of bystander signaling, of particular interest to researchers in the coming years may be the implications that bystander effects have in human disease, expanding on previous research in the field [34].

1.4. Biomolecular Pathways and Proteins of Interest

RIBE have been described in the literature as incredibly complex with respect to the sheer number of proteins, inorganic molecules, and cofactors believed to be involved. The molecules in question range from members of biologically ubiquitous kinase families to simple free radical species. In order to appreciate the interconnectedness of these molecules in our modern knowledge of RIBE, an elementary understanding of their involvement is required.
Nitric oxide and Reactive Oxygen Species (ROS) have been implicated as the source of the signal and in the propagation of RIBE for quite some time. Much of the suspicion surrounding radical chemical species stems from a number of studies linking them to DNA damage and the resulting indirect interaction with signaling proteins [35]. A study by Little et al. [36] using human fibroblasts and epithelial cells found that the suppression of NADPH oxidase and incubation with superoxide dismutase (SOD), an enzyme complex involved in free-radical production and a free-radical scavenger, respectively, led to substantial suppression of the bystander signal. Other researchers have corroborated these results with respect to SOD and NADPH [37,38,39]. Many groups focused on the production of intracellular ROS and their extracellular involvement as suspect in the radiation-induced bystander signaling cascade, noting the induction of micronucleus formation in bystander cells, regulation of the p53 pathway, and the effect on calcium channel fluxes [27,37,38,40,41,42,43]. Specifically, calcium influxes from the extracellular environment were assayed, which were linked to regulation of the bystander response in subsequent studies [43,44,45,46,47]. Other groups of researchers found that p53 wild-type cells exhibited radioresistance when growth medium was supplemented with nitric oxide [48], and that inhibiting nitric oxide in growth medium led to the abolishment of the bystander signal [49,50]. Research into the nitric oxide effect was expanded by later publications that discovered its positive effect in the propagation of the bystander signal [51,52].
Many proteins have been implicated in the bystander effect which can behave independently of ROS. Cyclogenase-2 (COX2) [53] and Serotonin [47,54,55] were also found to play a role in the bystander effect. NF-κB activity and its associated proteins, including COX2, were also proven to be involved in the bystander effect. Suppression of COX2 signaling activity was found to significantly reduce the bystander effect [53]. A later study by Zhou et al. [56] found that inhibition of NF-κB activation and scavenging of NO significantly decreased mutation frequency in bystander cells with both functional and nonfunctional mitochondria. They also found that the activity of NF-κB and associated proteins, specifically COX2 and inducible nitric oxide synthase (iNOS), were significantly lower in mitochondrial deficient cells. Some studies have also been published on the involvement of various cytokines, such as tumor necrosis factor alpha (TNFα) and interleukin 8 (IL8), which may act upstream of NF-κB and COX2 activation [57,58,59,60,61]. However, it is important to note some of the nuances in the former gene expression assay; common p53-regulated radiation exposure genes were expressed in elevated levels only in the directly exposed cultures, genes regulated by NF-κB, including the IL8 and COX2-coding genes CXCL8 and PTGS2, showed no differential expression between directly irradiated cells and bystander cells immediately after irradiation, and in time-course analyses, genes controlled by NF-κB responded with waves of expression over the course of twenty-four hours. Another important cytokine that was thought to be the source of the intercellular propagation of the bystander signal is transforming growth factor beta (TGFβ). A study found that increased intracellular TGFβ corresponded with an “increased ROS bystander response” [62]. Previous studies indicated that increased TGFβ as a result of bystander signal exposure in human fibroblasts also resulted in increased intracellular and extracellular ROS, mainly in the form of hydrogen peroxide [41,63,64,65,66].
Broader pathways have also been investigated in RIBE research. Two of the most researched are the classical MAP kinase signaling pathway that involves MEK1 and MEK2/ERK [36,45,67,68], and the JNK/p38 kinase pathway [36,69]. Inhibition of ERK phosphorylation was found to repress the bystander response in the same study that found similar effects after COX2 suppression [53].
Mitochondria have been the subject of extensive study in RIBE research; consequently, the topic of mitochondrial dysfunction can causally be linked to proteins associated with mitochondria that are connected to RIBE [12,56]. One study that looked into the effects of mitochondria determined that mtDNA-depleted bystander cells that were also treated with respiratory-chain inhibitors had attenuated signs of DNA damage, which led researchers to believe that mitochondria and ROS play an important role in bystander effects [70]. Numerous other studies have reported the importance of mitochondria in the bystander effect [46,70,71,72,73,74,75], which can also be linked to the late p53 apoptosis pathway by extension.
A recurring theme in RIBE research is that the protein pathways and their intracellular and extracellular effects, such as ROS production, seem to overlap in one way or another. This is especially apparent when scouring for references to these proteins outside of the field of radiation biology. For example, NF-κB is thought to regulate expression of COX-2 [57], but NF-κB also acts downstream of a TNFα-activated cascade, leading to either proliferative, inflammatory, or anti-apoptotic events in mammalian cells [59,60,61,76,77]. In the broad MAPK/p38 pathway, a TNFα signaling cascade can lead to the phosphorylation of p38 (MAPK14) by MKK3, while upstream from this phosphorylation, TRAF2 can act on MEKK1, leading to the activation of NF-κB [59,60,61,78,79,80,81,82]. In the same general MAPK pathway, TGFβ binding to TGFβR—its associated cell membrane receptor—can lead to the downstream indirect phosphorylation of p38 (MAPK14) further down the cascade [59,60,61,83,84], which can lead to p53 activation [59,60,61]; activation of TRAF2, which is involved in the TNFα pathway, can lead to the same effect [59,60,61,85]. Another example, this one within the field of radiation research from the same group first reporting on GJIC, found that NADPH oxidase increases the accumulation of p53 and p21 and promotes micronucleus formation [38]. DNA damage was noted in directly irradiated fibroblast cultures, as well as Ser15-phosphorylated p53 accumulation. The group also found that SOD attenuated induction of p21 in bystander cells, showing that the downstream p21 is a stress response effector and that this was most likely due to the presence of ROS. No increase was detected in directly irradiated cells incubated with SOD; however, SOD introduction resulted in inhibited NF-kB. All these pathways are available in the Supplementary Materials provided and summaries of salient cascades are available as figures (Figure 1, Figure 2, Figure 3, Figure 4 and Figure 5). While this overview is likely not representative of all the potential interactions involved in RIBE nor their sequence, the importance of uncovering the inner workings of one particular pathway involved in RIBE while insisting on adhering the proverbial “bigger picture” is another virtue that appears to be indispensable in radiation biology.

1.5. The Importance of the p53 Pathway

P53 is a protein known colloquially among molecular biologists as “the master switch” in controlling cell fate. In radiation biology and elsewhere, it is also known as “the guardian of the genome” which directs cells into apoptosis or stalls the cell cycle in G1 to allow for DNA repair. It is also known to be mutated in over 50% of human tumors [86]. It can be linked downstream or upstream of virtually all of the aforementioned proteins and inorganic molecules, including NF-κB, various proteins in the MAPK pathway, TGFβ, TNFα, COX2, NADPH oxidase, NO, ROS, IL6, IL8, and p21; such research has been conducted by various groups [30,87,88,89,90,91,92,93,94,95,96,97,98,99,100]. The omnipresence of p53 pathway research can be attributed to p53’s position in potentially innumerable signaling cascades that determine the fate of living cells, controlling such processes as cell cycle arrest, senescence, DNA repair and damage prevention, and apoptosis [101].
Studies have shown that the status of p53, both at the corresponding gene and post-translational level, greatly affects how cells respond to bystander signals. MDM2 is a p53-specific ubiquitin ligase that directly antagonizes p53, limiting its growth-suppressive function in unstressed cells [102]. P53, p21, and MDM2 were significantly modulated in bystander human fibroblast and epithelial cells, with the signals leading to this effect transmitted through GJIC [36]. As stated earlier, the bystander response was suppressed with incubation with SOD as well as an NADPH oxidase inhibitor, suggesting that RIBE can be transmitted by ROS. A 2–4-fold increase in the phosphorylation levels of JNK, ERK1/2, and a few other proteins was also observed [36]. At the time, it was hypothesized that this effect occurred as a direct result of DNA damage. Mothersill et al. [103] found that HCT116 cells with either null or wild-type p53 expression had different responses to the bystander signal. They showed that both null and wild-type cell lines could produce a signal, while only the wild-type cell lines could respond to the signal from either cell line. A study in 2015 expanded on this effect, finding that p53 wild-type HTC116 cells developed premature senescence in both directly exposed cells and in bystander cells [104]. The group also found that both directly exposed and bystander p53 null cells died primarily through apoptosis, that IL6 and IL8 expression were differently generated by both cell lines, that NF-κB was primarily activated in p53 wild-type cells that had been directly exposed, and that NF-κB was also mobilized significantly in null bystanders only.
P21 is a protein associated closely with p53 and has many roles in human cells. P53, p21, and their downstream proteins, among others, are also closely associated with the cell cycle. Interestingly, some studies showed that p53 and p21 were down-regulated along with concurrent upregulation of CDC2 and PCNA in bystander cells [105]. This is a point of interest because CDC2 inactivation is implicated in G2 arrest and PCNA is part of an extended signaling cascade that promotes S-phase proteins, with one study suggesting that p21 binding to PCNA can result in cell cycle arrest in p53-deficient cells [106,107,108,109]. This could indicate that exposure to the bystander signal can result in cell cycle arrest at various checkpoints.
HFL1 cells irradiated with X-rays show a senescence-like phenotype and phosphorylation of p53 at Ser15; this occurs concurrently with accumulation of p53 in intracellular space, followed by the induction of p21 and p16 [110]. Suzuki et al. [110] also determined that senescence-like growth arrest was dependent on p53 expression by using p53-null cells exposed to direct irradiation, presumably due to the effect on the p21 pathway and others. TGFβ is linked to cell cycle arrest by allowing the transcription of CDKN2B, the gene coding for p15, downstream of TGFβ’s expression [59,60,61]. Iyer and Lehnert [62] found that direct exposure of HFL1 cells to 1 cGy of alpha particles resulted in elevated levels of p53 and a decrease in CDC2. They also found that cells treated with medium from irradiated cultures on the first day of observation seemed to undergo a typical alpha-particle-induced cell cycle arrest; by the third day of observation, however, cell counts exceeded those from control groups. Curiously, the addition of small doses of recombinant TGFβ decreased the p53/p21 response, while larger doses stimulated the p53/p21 response. Better plating efficiency was observed with smaller doses of TGFβ, while larger doses decreased plating efficiency and increased the p53/p21 response. They also stated that bystander cells left alone after a few days showed reduction in p53 expression and increased expression of CDC2, which, as stated previously, is involved in proliferation and cell cycle arrest downstream of p53 in the p53 pathway [59,60,61,111].
While reading through the literature, specifically the studies on the p53/p21/TGFβ pathway, a few questions began to emerge. All of the studies that were reviewed seemed to treat p21 as solely dependent on p53 expression (e.g., [62]), or as a reliable marker for the expression of a functional p53 protein (e.g., [30]). This was interesting because some sources report that TGFβ could stimulate the expression of p21 on its own through a separate pathway involving control of p21 at the transcriptional level. An older study noted that the CDKN1A promoter region, the gene coding for p21, may require TGFβ and associated Smad proteins for its transcription [112]. In addition to this, the SP3 transcription factor that regulates induction of the promoter is calcium-dependent [112,113] which could provide a potential link to the observation that an influx of calcium into a cell is required for the bystander response [44,45].
Considering this information, a few interesting questions can be asked about the role of p53 and its associated pathways in the bystander signaling mechanism. Are genes like p21 activated in direct irradiations and in bystander neighbors in WT cells? Furthermore, are genes like p21 activated in direct irradiations and in bystander neighbors in p53 null cells? This is interesting because p21 inhibits cyclin-dependent kinases, ultimately leading to G1 cell cycle arrest [106,114,115]. It is also intrinsically linked to TGFβ through a Smad2,3 and Smad4 complex [116,117,118] and could, therefore, be linked to the bystander response. If p21 expression is compromised in p53 null cells and knowing that TGFβ is required for the transcription of CDKN1A, could one potentially use TGFβ protein-supplemented medium to restore expression of p21 in p53 null bystander cells? Would this restoration of p21 rescue the ability of p53 null cells to respond to the bystander signal, primarily by entering cell cycle arrest? These experiments would be particularly insightful because we could discern if the bystander effect acts on the p21/p53/TGFβ pathway differently in p53 WT compared to nulls, and, in addition, determine whether this effect is different or the same with direct irradiation and the related bystander signal.
Some similar research was conducted in the past. Recent studies in radiation biology have shown that the status of p53 affects the presence of p21 [30], but this paper in particular assayed UV biophoton ejection, which is out of the scope of this introductory review—although the finding that the UV biophoton bystander effect may follow a similar route of intracellular propagation is fascinating in its own right. In any case, quite a few studies have demonstrated that the downstream expression of p21 may be important to activity of p53 [119,120]. A crucially important study was conducted by Iyer and Lehnert [111] that showed that TGFβ was implicated in the p53/p21 bystander response and that TGFβ can decrease or increase concentrations of p53/p21 depending on the concentration of supplemented TGFβ. However, they did not investigate the potential for TGFβ to rescue the expression of p21 with an endogenous null expression of p53. If it were shown that it could, then TGFβ, and by extension, potentially all cytokines salient to the study of RIBE, can behave in multi-faceted, yet similar ways to achieve the same endpoint with respect to RIBE. It would also shed light on the issue of the p53 wild-type/null disparity observed in RIBE studies; either it is reliant on p53 expression completely, or cells can compensate for the lack of p53 expression via a different pathway to achieve a similar cell-cycle arrest phenotype. There is a lot of evidence in the literature to suggest that p21 is heavily involved in radiation-induced cell cycle arrest. One older study found that p21 deficiency abolishes direct-radiation-induced cell cycle arrest [106]. Subsequent studies have confirmed this and have linked the effect primarily to G1 arrest after DNA damage and a requirement for p53 activity [106,107,108,109].
As the term “RIBE” is commonly used to refer to a set of related effects in tissue culture consequent to radiation exposure, complications may arise in researching pathways related to p53 and other proteins. Specifically, the experimental comparison of independent endpoints of RIBE, such as apoptosis, sister chromatid exchanges (SCE), micronuclei formation, and clonogenic cell survival, may lead to seemingly contradictory results if other factors like the DNA repair capacity of bystander cells are not considered. It has been reported [121,122,123,124,125] that cell proliferation, transcriptional activity, replication stress and DNA damage repair processes modulate susceptibility of cells to RIBE. These findings demonstrate an added layer of complexity to RIBE model systems and should be taken into account by researchers aspiring to originate an exhaustive model system in future RIBE research.

1.6. Is There A “Unified Theory” to Describe the RIBE Biochemical Cascade?

Many of the studies reviewed look into the possibility of a unifying model for all bystander effects, but they generally separate different protein interactions from one another depending on the effect. Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 and Figure 6 attempt to summarize and show the potential links between every protein and inorganic molecules mentioned in this introductory review. Although much of the content may be merely postulation with respect to RIBE, it is the hope of the authors that these visualizations of concepts covered in this brief introduction will help the reader further appreciate the interconnectedness of these pathways, rather than potentially persist in reductionism by examining a select few.

2. Non-Targeted Effects (NTE) in Tumours and Tumour Cell Lines Are Different to Those Seen Normal Tissues

2.1. Review of Evidence

Soon after the first publications in recent times relating to lethal mutations, genomic instability, delayed death or bystander effects, now known collectively as non-targeted effects or NTE [11,23,24,25,26,126], there was controversy in the literature and many reports of failure to find these unexpected consequences in non-irradiated cells or progeny of irradiated cells [127,128]. The initial confusion resolved somewhat when it was realised that all cell types did not show these effects [129,130] and that experimental conditions needed to be carefully controlled [131]. Later papers showed how complex the generation of NTE is with roles for p53 [132], serotonin [54,55,133,134,135], TGFβ [136,137,138], ROS [139,140,141], cell cycle phase [142,143] and many other factors (for reviews, see [3,144]). However, a broad division could be made depending on whether the cell line derived from a p53 mutant or null tumour cell like with low-dose radioresistance (a wide shoulder / high α/β ratio) where NTE, at least in the form of bystander effects (BE), were not seen and p53 wild-type, low-dose radiosensitive cell lines (small shoulder, low α/β ratio) where NTE were pronounced [145]. The particular situation of low-dose hypersensitivity/induced radioresistance (HRS/IRR) was particularly interesting since it seemed to be an anomaly until it was found that the BE were expressed in the HRS part of the dose–response curve but not after the dose response became IRR at higher doses [146,147]. These findings led to the generalisation that fast-growing cell lines which demonstrated radioresistance in the low-dose range, such as HT29 or PC3 [147], were less likely to show BE than slower growing radiosensitivive cells such as HaCaT or SW48 [147]. Later studies with tissues confirmed that tumour-derived explants and tumour-bearing animals or animals with tumour susceptibility had less pronounced BE than normal tissues or animals [148,149,150]. The situation with genomic instability (GI) was less clear, mainly because endpoints for GI included events resulting in increased death of progeny, such as lethal mutation or delayed death frequency [3,144] or gastrotrichus [151] but also included chromosomal instability endpoints where viable progeny were produced with increased potential for cancer development or transformation in vitro [152,153].

2.2. Possible Reasons/Mechanisms

Once the phenomenology of NTE became more fully documented, attention turned to the mechanisms which could allow non-irradiated cells and distant progeny of recovered irradiated cells to display essentially the same endpoints (see Table 1). Initially, there was a focus on the use of separation techniques such as HPLC to try to determine the size and nature of the proposed molecule which caused NTE. These approaches proved unsuccessful. Attention turned to the response pathways which became the focus of mechanistic studies [13]. Cytokine activation was identified [154] and stress pathways downstream of ROS elevation were documented [45,155]. Apoptosis was found to be increased in the non-targeted cells [156,157], as were steps in the apoptotic pathway such as calcium flux, mitochondrial membrane depolarisation, caspase 3 release etc. [44,158]. DNA repair proficiency was also shown to be important with radiosensitive mutants (irrespective of the precise mutation), releasing stronger bystander signals than the wild-type parents [159,160,161,162,163]. This was later also shown in fish [164]. However, the nature of the signal from the irradiated cells remained a mystery. Breakthroughs came on two aspects of signal production in 2012 when it was shown that exosomes were released by irradiated cells into the culture medium [32,33]. Extracellular vesicles had been suggested early on as vehicles for bystander signals [165] but the molecular tools to analyse their contents were not widely available at the time. With the advent of ChIP technology and advanced proteomics techniques, screening for relevant proteins and miRNAs became possible [166]. The second breakthrough came when it was shown that irradiation of organic matter (shells, fruits or cells) led to biophoton emission in the UVA range and that there seemed to be a physical component to the initial bystander signal [31,167,168,169]. A series of papers [29,30] linked the photon emissions to the extent of the BE and implicated both p53 and exosomes in the mechanism (see Figure 7). The definitive experiments isolated exosomes and showed that exosomes from cells which received the UVA signal from irradiated cells without medium transfer, could by themselves produce a BE in never irradiated cells [29]. UVA alone was already known to produce BE from research in the 1990s [170,171]. Another piece of the puzzle fell into place with the linking of the UVA biophotons to a block of the activity of mitochondrial complex 1 [172]. This leads to depletion of cellular ATP levels and is the type of global issue that could explain many of the reported consequences of low-dose radiation exposure such as fatigue, reduced repair capacity and immune system compromise since these are all dependent of cellular energy availability [34,173]. Complex one block has been associated in the literature with UVA exposure and ROS elevation [174]. Currently, the race is on in many laboratories to profile exosomes in an attempt to further understand the mechanisms of transmission of bystander signals, although the evidence referenced above suggests that biophotons may be sufficient by themselves to induce both BE and GI. Regarding GI, the consensus is that this is driven at least in part by BE because GI can be triggered by bystander signals, as well as by direct irradiation, [175] and harvest of media from descendants of irradiated cells shows perpetuation of signal production in bystander cells [176].

2.3. Discussion of Relevance of Smoking and Other Lifestyle Factors

In addition to studying mechanisms associated with cellular genetic type, many studies have been done to look at the effects of environmental and lifestyle factors on the induction of NTE by radiation. These include the effects of heavy metals, organic pollutants, radium and tritium contamination, which confirm that both bystander signalling and GI can be modulated (usually increased) by concomitant exposure to a second stressor. In humans, the smoking history and in vitro treatment of human cells and explants with smoking specific nitrosamines prior to irradiation have been studied using a human explant model [177,178]. Radiation-induced BE was less toxic in terms of apoptosis induction in explanted tissues from smokers but that was associated with induction of anti-apoptotic proteins and suggests a pro-carcinogenesis rather than pro-apoptosis response to radiation in urothelium from smokers. Treatment of bladder urothelium from non-smokers with the specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), found in the urine of smokers, also induced this phenotype [179].

3. Relevance for Therapy—Possible Approaches to Enhance the Therapeutic Ratio

3.1. Inhibition of NTE Pathways in Normal Tissue

The paradox of NTE is that what may be good for an individual cell (e.g., not dying from the radiation dose) may be bad at the level of the population of cells or the organism, if living means carrying potentially carcinogenic damage. Also, given that NTE are more prevalent in normal cells than in tumour cells, the adverse effects of NTE in radiotherapy could be considerable. This area has been considered in detail by those studying “out of field” effects [180,181]. Reducing NTE in normal tissue is considered to be a potential novel target for improving radiotherapy outcomes. Those working on the complex one block in mitochondria which is implicated in many non-radiation-associated conditions such as chronic fatigue syndrome (CFS) have identified a number of places in the complex where specific activators or inhibitors of complex one could be targeted [182]. However, the situation may not be as simple as that because there are many reports of NTE-induced adaptive and protective responses acting at the population level [183,184] and NTE are seen by some as a mechanism for coordinating normal tissue level responses to harmful stimuli such as ionising radiation [87,88,89]. Clearly, it would not be wise to block such a mechanism.

3.2. Stimulation of NTE Pathways in Tumour Tissues

The corollary of blocking NTE in normal tissues would be to try to stimulate NTE in tumour cell populations. To our knowledge, this approach has not been tried but could perhaps involve UVA/biophoton exposure concomitant with radiotherapy, or exposure to antioxidants during therapy to stimulate mitochondrial function. Possibly, if exosomes and their specific cargos could be harnessed, they could activate NTE in tumours as well.

4. Relevance for Diagnostic Radiology

4.1. Relevance of Low-Dose Dominance of NTE

There are two obvious areas of interest here given the enormous increase in the use of radiation-associated techniques in diagnosis of disease [185]. There is considerable controversy about whether any harm is being caused by such tests (for reviews, see [186,187]). The NTE-related concerns relate to the fact that NTE dominate the dose response at low doses and can be triggered by acute exposures as low as 2–3 mGy and increase until the NTE response saturates at about 0.5 Gy, at least in vitro [188,189,190]. There is no information about saturation or initiation doses in vivo or in humans but very early work by this group correlated low-dose radiosensitivity (then reported in terms of survival curve shoulder width or n value) with the burden of delayed lethal mutations [191,192]. This suggests that a retrospective analysis of human-derived cell lines, or samples where bystander signal information could be obtained, for example, the human skin series [193] or the RERF (Radiation Effects Research Foundation) blood samples from A-bomb survivors [194], might be interesting to correlate with the subsequent epidemiology. The two main NTE concerns are 2nd cancer induction, and microenvironmental plasticity due to genomic instability.

4.1.1. 2nd Cancer Induction

Cell transformation in vitro has been shown as an endpoint in non-targeted cells [194,195] and modelling of bystander effect impacts on the cancer induction dose response using linear-non-threshold approaches [196] have suggested that NTE may increase the chances of second cancer induction. Further evidence for a potential role of NTE in 2nd cancer induction after low-dose exposures comes from early data in the literature showing persistent expression of clastogenic factors, micronuclei or microsatellite instability in distant progeny of those exposed or in blood of those exposed several years earlier [197,198,199,200]. These data have been reviewed several times but not with respect to the possibility of NTE being involved in second cancer induction (for example, [3,201]).

4.1.2. Microenvironmental Plasticity

This refers to the ability of the microenvironment to change in response to changes in the system [202]. There is considerable interest currently in what is termed “cross-talk” between functional units in organs and support tissues such as endothelium, fibrous tissue and components of blood and endocrine systems [203]. Maintenance of a healthy microenvironment is critical to the control of function and to the abolition of pre-cancerous cells [204]. Induction of NTE signalling probably has multiple roles depending on other factors such as genetic or epigenetic makeup [205], environmental or lifestyle factors [206] or age [207], all of which can modulate the processes of NTE and the outcomes which may ultimately emerge. Key factors in defining the role of NTE in microenvironmental plasticity are the level at which the effects are of concern e.g., cell, organ, individual or population and the time over which adaptive or mal-adaptive instability has operated. The follow-up epidemiological studies on patients who have experienced low-dose medical diagnostic exposure should be an important source of information in this regard.

5. Conclusions

This review highlights areas in radiotherapy and diagnostic radiology where non-targeted effects of radiation may be important drivers of outcomes. Areas of most concern relate to the low-dose induction of genomic instability and to modulation of normal radiation response pathways by altered signalling due to bystander effects. The importance of context (environmental stressors, lifestyle, age and genetic background) are also discussed. Clearly, these processes could be involved in determining outcomes after radiation exposure (diagnostic or therapeutic) and should probably be further considered in radiation medicine.

Funding

This research was funded by the National CFIDS Foundation Inc., the Canada Research Chairs Programme (grant no. 950-221284), a NSERC Collaborative Research and Development Grant (grant no. RGPIN293153-12), and Bruce Power. The APC was funded by CANDU Owners Group (grant no. CRDPJ484381-15).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mothersill, C.; Seymour, C. Changing paradigms in radiobiology. Mutat. Res. Rev. Mutat. Res. 2012, 750, 85–95. [Google Scholar] [CrossRef] [PubMed]
  2. Mothersill, C.; Rusin, A.; Seymour, C. Low doses and non-targeted effects in environmental radiation protection; where are we now and where should we go? Environ. Res. 2017, 159, 484–490. [Google Scholar] [CrossRef] [PubMed]
  3. Mothersill, C.E.; Rusin, A.; Fernandez-Palomo, C.; Seymour, C.B. History of bystander effects research 1905-present; what is in a name? Int. J. Radiat. Biol. 2018, 94, 696–707. [Google Scholar] [CrossRef] [PubMed]
  4. Mothersill, C.; Seymour, C.B. Radiation-induced bystander effects-implications for cancer. Nat. Rev. Cancer 2004, 4, 158–164. [Google Scholar] [PubMed]
  5. Heineke, H. Experimentelle Untersuchungen über die Einwirkung der Röntgenstrahlen auf das Knochenmark, nebst einigen Bemerkungen über die Röntgentherapie der Leukämie und Pseudoleukämie und des Sarcoms. Langenbeck’s Arch. Surg. 1905, 78, 196–230. [Google Scholar] [CrossRef]
  6. Siva, S.; MacManus, M.P.; Martin, R.F.; Martin, O.A. Abscopal effects of radiation therapy: A clinical review for the radiobiologist. Cancer Lett. 2015, 356, 82–90. [Google Scholar] [CrossRef]
  7. Kaminski, J.M.; Shinohara, E.; Summers, J.B.; Niermann, K.J.; Morimoto, A.; Brousal, J. The controversial abscopal effect. Cancer Treat. Rev. 2005, 31, 159–172. [Google Scholar] [CrossRef]
  8. Okuma, K.; Yamashita, H.; Niibe, Y.; Hayakawa, K.; Nakagawa, K. Abscopal effect of radiation on lung metastases of hepatocellular carcinoma: A case report. J. Med. Case Rep. 2011, 5, 111. [Google Scholar] [CrossRef]
  9. Reynders, K.; Illidge, T.; Siva, S.; Chang, J.Y.; De Ruysscher, D. The abscopal effect of local radiotherapy: Using immunotherapy to make a rare event clinically relevant. Cancer Treat. Rev. 2015, 41, 503–510. [Google Scholar] [CrossRef]
  10. Jolles, B. X-ray skin reactions and the protective role of normal tissues. Br. J. Radiol. 1941, 14, 110–112. [Google Scholar] [CrossRef]
  11. Seymour, C.B.; Mothersill, C.E.; Alper, T. High yields of lethal mutations in somatic mammalian-cells that survive ionizing-radiation. Int. J. Radiat. Biol. 1986, 50, 167–179. [Google Scholar] [CrossRef]
  12. Mothersill, C.; Seymour, C. Radiation-induced bystander effects: Past history and future directions. Radiat. Res. 2001, 155, 759–767. [Google Scholar] [CrossRef]
  13. Hei, T.K.; Zhou, H.; Chai, Y.; Ponnaiya, B.; Ivanov, V.N. Radiation induced non-targeted response: Mechanism and potential clinical implications. Curr. Mol. Pharmacol. 2011, 4, 96–105. [Google Scholar] [CrossRef] [PubMed]
  14. Morgan, W.F.; Sowa, M.B. Non-targeted effects induced by ionizing radiation: Mechanisms and potential impact on radiation induced health effects. Cancer Lett. 2015, 356, 17–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Puskin, J.S. Reply to Cohen’s Response to EPA Position on Cancer Risk from Low Level Radiation. Dose-Response 2010, 8. [Google Scholar] [CrossRef]
  16. Einstein, A.J. Effects of radiation exposure from cardiac imaging: How good are the data? J. Am. Coll. Cardiol. 2012, 59, 553–565. [Google Scholar] [CrossRef] [PubMed]
  17. Pawel, D.J.; Puskin, J.S. US Environmental Protection Agency radiogenic risk models and projections for the US population. Health Phys. 2012, 102, 646–656. [Google Scholar] [CrossRef]
  18. Hendee, W.R.; O’Connor, M.K. Radiation risks of medical imaging: Separating fact from fantasy. Radiology 2012, 264, 312–321. [Google Scholar] [CrossRef]
  19. Doss, M. Linear no-threshold model vs. radiation hormesis. Dose-response 2013, 11. [Google Scholar] [CrossRef]
  20. Mothersill, C.; Seymour, C. Implications for human and environmental health of low doses of ionising radiation. J. Environ. Radioact. 2014, 133, 5–9. [Google Scholar] [CrossRef]
  21. Jolles, B. A diffusible substance in irradiated tissues. Nature 1949, 164, 63. [Google Scholar] [CrossRef] [PubMed]
  22. Parsons, W.B.; Watkins, C.H.; Pease, G.L.; Childs, D.S. Changes in sternal marrow following roentgen-ray therapy to the spleen in chronic granulocytic leukemia. Cancer 1954, 7, 179–189. [Google Scholar] [CrossRef] [Green Version]
  23. Pampfer, S.; Streffer, C. Increased chromosome aberration levels in cells from mouse fetuses after zygote X-irradiation. Int. J. Radiat. Biol. 1989, 55, 85–92. [Google Scholar] [CrossRef] [PubMed]
  24. Kadhim, M.A.; Macdonald, D.A.; Goodhead, D.T.; Lorimore, S.A.; Marsden, S.J.; Wright, E.G. Transmission of chromosomal instability after plutonium α-particle irradiation. Nature 1992, 355, 738–740. [Google Scholar] [CrossRef] [PubMed]
  25. Nagasawa, H.; Little, J.B. Induction of Sister Chromatid Exchanges by Extremely Low Doses of α-Particles. Cancer Res. 1992, 52, 6394–6396. [Google Scholar] [PubMed]
  26. Mothersill, C.; Seymour, C. Medium from irradiated human epithelial cells but not human fibroblasts reduces the clonogenic survival of unirradiated cells. Int. J. Radiat. Biol. 1997, 71, 421–427. [Google Scholar] [PubMed]
  27. Azzam, E.I.; de Toledo, S.M.; Gooding, T.; Little, J.B. Intercellular Communication Is Involved in the Bystander Regulation of Gene Expression in Human Cells Exposed to Very Low Fluences of Alpha Particles. Radiat. Res. 1998, 150, 497–504. [Google Scholar] [CrossRef] [PubMed]
  28. Mosse, I.; Marozik, P.; Seymour, C.; Mothersill, C. The effect of melanin on the bystander effect in human keratinocytes. Mutat. Res. Fundam. Mol. Mech. Mutagen. 2006, 597, 133–137. [Google Scholar] [CrossRef]
  29. Le, M.; Fernandez-Palomo, C.; McNeill, F.E.; Seymour, C.B.; Rainbow, A.J.; Mothersill, C.E. Exosomes are released by bystander cells exposed to radiation-induced biophoton signals: Reconciling the mechanisms mediating the bystander effect. PLoS ONE 2017, 12, e0173685. [Google Scholar] [CrossRef] [PubMed]
  30. Le, M.; McNeill, F.E.; Seymour, C.; Rainbow, A.J.; Mothersill, C.E. An observed effect of ultraviolet radiation emitted from beta-irradiated HaCaT cells upon non-beta-irradiated bystander cells. Radiat. Res. 2015, 183, 279–290. [Google Scholar] [CrossRef] [PubMed]
  31. Ahmad, S.B.; McNeill, F.E.; Byun, S.H.; Prestwich, W.V.; Mothersill, C.; Seymour, C.; Armstrong, A.; Fernandez, C. Ultra-violet light emission from hpv-g cells irradiated with low let radiation from 90Y; consequences for radiation induced bystander effects. Dose-Response 2013, 11, 498–516. [Google Scholar] [CrossRef] [PubMed]
  32. Al-Mayah, A.H.J.; Irons, S.L.; Pink, R.C.; Carter, D.R.F.; Kadhim, M.A. Possible role of exosomes containing RNA in mediating nontargeted effect of ionizing radiation. Radiat. Res. 2012, 177, 539–545. [Google Scholar] [CrossRef] [PubMed]
  33. Jella, K.K.; Rani, S.; O’Driscoll, L.; McClean, B.; Byrne, H.J.; Lyng, F.M. Exosomes are involved in mediating radiation induced bystander signaling in human keratinocyte cells. Radiat. Res. 2014, 181, 138–145. [Google Scholar] [CrossRef] [PubMed]
  34. Rusin, A.; Seymour, C.; Mothersill, C. Chronic fatigue and immune deficiency syndrome (CFIDS), cellular metabolism, and ionizing radiation: A review of contemporary scientific literature and suggested directions for future research. Int. J. Radiat. Biol. 2018, 94, 212–228. [Google Scholar] [CrossRef] [PubMed]
  35. Spitz, D.R.; Azzam, E.I.; Li, J.J.; Gius, D. Metabolic oxidation/reduction reactions and cellular responses to ionizing radiation: A unifying concept in stress response biology. Cancer Metastasis Rev. 2004, 23, 311–322. [Google Scholar] [CrossRef] [PubMed]
  36. Little, B.J.; Azzam, I.E.; de Toledo, M.S.; Nagasawa, H. Bystander effects: Intercellular transmission of radiation damage signals. Radiat. Prot. Dosim. 2002, 99, 159–162. [Google Scholar] [CrossRef]
  37. Narayanan, P.K.; Goodwin, E.H.; Lehnert, B.E. α particles initiate biological production of superoxide anions and hydrogen peroxide in human cells. Cancer Res. 1997, 57, 3963–3971. [Google Scholar] [PubMed]
  38. Azzam, E.I.; de Toledo, S.M.; Spitz, D.R.; Little, J.B. Oxidative metabolism modulates signal transduction and micronucleus formation in bystander cells from α-particle-irradiated normal human fibroblast cultures. Cancer Res. 2002, 62, 5436–5442. [Google Scholar]
  39. Yang, H.; Asaad, N.; Held, K.D. Medium-mediated intercellular communication is involved in bystander responses of X-ray-irradiated normal human fibroblasts. Oncogene 2005, 24, 2096. [Google Scholar] [CrossRef]
  40. Hickman, A.W.; Jaramillo, R.J.; Lechner, J.F.; Johnson, N.F. α-Particle-induced p53 protein expression in a rat lung epithelial cell strain. Cancer Res. 1994, 54, 5797–5800. [Google Scholar]
  41. Lehnert, B.E.; Goodwin, E.H. Extracellular factor (s) following exposure to α particles can cause sister chromatid exchanges in normal human cells. Cancer Res. 1997, 57, 2164–2171. [Google Scholar] [PubMed]
  42. Lyng, F.M.; Seymour, C.B.; Mothersill, C. Early events in the apoptotic cascade initiated in cells treated with medium from the progeny of irradiated cells. Radiat. Prot. Dosim. 2002, 99, 169–172. [Google Scholar] [CrossRef] [PubMed]
  43. Lyng, F.M.; Howe, O.L.; McClean, B. Reactive oxygen species-induced release of signalling factors in irradiated cells triggers membrane signalling and calcium influx in bystander cells. Int. J. Radiat. Biol. 2011, 87, 683–695. [Google Scholar] [CrossRef] [PubMed]
  44. Shao, C.; Lyng, F.M.; Folkard, M.; Prise, K.M. Calcium fluxes modulate the radiation-induced bystander responses in targeted glioma and fibroblast cells. Radiat. Res. 2006, 166, 479–487. [Google Scholar] [CrossRef] [PubMed]
  45. Lyng, F.M.; Maguire, P.; McClean, B.; Seymour, C.; Mothersill, C. The involvement of calcium and MAP kinase signaling pathways in the production of radiation-induced bystander effects. Radiat. Res. 2006, 165, 400–409. [Google Scholar] [CrossRef] [PubMed]
  46. Lyng, F.M.; Seymour, C.B.; Mothersill, C. Initiation of apoptosis in cells exposed to medium from the progeny of irradiated cells: A possible mechanism for bystander-induced genomic instability? Radiat. Res. 2002, 157, 365–370. [Google Scholar] [CrossRef]
  47. Fazzari, J.; Mersov, A.; Smith, R.; Seymour, C.; Mothersill, C. Effect of 5-hydroxytryptamine (serotonin) receptor inhibitors on the radiation-induced bystander effect. Int. J. Radiat. Biol. 2012, 88, 786–790. [Google Scholar] [CrossRef]
  48. Matsumoto, H.; Hayashi, S.; Hatashita, M.; Ohnishi, K.; Shioura, H.; Ohtsubo, T.; Kitai, R.; Ohnishi, T.; Kano, E. Induction of radioresistance by a nitric oxide-mediated bystander effect. Radiat. Res. 2001, 155, 387–396. [Google Scholar] [CrossRef]
  49. Shao, C.; Stewart, V.; Folkard, M.; Michael, B.D.; Prise, K.M. Nitric oxide-mediated signaling in the bystander response of individually targeted glioma cells. Cancer Res. 2003, 63, 8437–8442. [Google Scholar]
  50. Shao, C.; Folkard, M.; Prise, K.M. Role of TGF-β1 and nitric oxide in the bystander response of irradiated glioma cells. Oncogene 2008, 27, 434. [Google Scholar] [CrossRef]
  51. Shao, C.; Furusawa, Y.; Aoki, M.; Matsumoto, H.; Ando, K. Nitric oxide-mediated bystander effect induced by heavy-ions in human salivary gland tumour cells. Int. J. Radiat. Biol. 2002, 78, 837–844. [Google Scholar] [CrossRef] [PubMed]
  52. Han, W.; Wu, L.; Chen, S.; Bao, L.; Zhang, L.; Jiang, E.; Zhao, Y.; Xu, A.; Hei, T.K.; Yu, Z. Constitutive nitric oxide acting as a possible intercellular signaling molecule in the initiation of radiation-induced DNA double strand breaks in non-irradiated bystander cells. Oncogene 2007, 26, 2330–2339. [Google Scholar] [CrossRef] [PubMed]
  53. Zhou, H.; Ivanov, V.N.; Gillespie, J.; Geard, C.R.; Amundson, S.A.; Brenner, D.J.; Yu, Z.; Lieberman, H.B.; Hei, T.K. Mechanism of radiation-induced bystander effect: Role of the cyclooxygenase-2 signaling pathway. Proc. Natl. Acad. Sci. USA 2005, 102, 14641–14646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Poon, R.C.C.; Agnihotri, N.; Seymour, C.; Mothersill, C. Bystander effects of ionizing radiation can be modulated by signaling amines. Environ. Res. 2007, 105, 200–211. [Google Scholar] [CrossRef] [PubMed]
  55. Curtis, J.J.; Seymour, C.B.; Mothersill, C.E. Cell Line-Specific Direct Irradiation and Bystander Responses are Influenced by Fetal Bovine Serum Serotonin Concentrations. Radiat. Res. 2018, 190, 262–270. [Google Scholar] [CrossRef] [PubMed]
  56. Zhou, H.; Ivanov, V.; Lien, Y.-C.; Davidson, M.; Hei, T. Mitochondrial Function and NF-κB Mediated Signaling in Radiation-Induced Bystander Effects. Cancer Res. 2008, 68, 2233–2240. [Google Scholar] [CrossRef]
  57. Ghandhi, S.A.; Yaghoubian, B.; Amundson, S.A. Global gene expression analyses of bystander and alpha particle irradiated normal human lung fibroblasts: Synchronous and differential responses. BMC Med. Genom. 2008, 1, 63. [Google Scholar] [CrossRef]
  58. Sasi, S.P.; Song, J.; Park, D.; Enderling, H.; McDonald, J.T.; Gee, H.; Garrity, B.; Shtifman, A.; Yan, X.; Walsh, K. TNF-TNFR2/p75 signaling inhibits early and increases delayed nontargeted effects in bone marrow-derived endothelial progenitor cells. J. Biol. Chem. 2014, 289, 14178–14193. [Google Scholar] [CrossRef]
  59. Kanehisa, M.; Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28, 27–30. [Google Scholar] [CrossRef]
  60. Kanehisa, M.; Sato, Y.; Kawashima, M.; Furumichi, M.; Tanabe, M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 2016, 44, D457–D462. [Google Scholar] [CrossRef]
  61. Kanehisa, M.; Furumichi, M.; Tanabe, M.; Sato, Y.; Morishima, K. KEGG: New perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 2017, 45, D353–D361. [Google Scholar] [CrossRef] [PubMed]
  62. Iyer, R.; Lehnert, B.E. Effects of ionizing radiation in targeted and nontargeted cells. Arch. Biochem. Biophys. 2000, 376, 14–25. [Google Scholar] [CrossRef] [PubMed]
  63. Thannickal, V.J.; Hassoun, P.M.; White, A.C.; Fanburg, B.L. Enhanced rate of H2O2 release from bovine pulmonary artery endothelial cells induced by TGF-beta 1. Am. J. Physiol. Cell. Mol. Physiol. 1993, 265, L622–L626. [Google Scholar] [CrossRef] [PubMed]
  64. Ohba, M.; Shibanuma, M.; Kuroki, T.; Nose, K. Production of hydrogen peroxide by transforming growth factor-beta 1 and its involvement in induction of egr-1 in mouse osteoblastic cells. J. Cell Biol. 1994, 126, 1079–1088. [Google Scholar] [CrossRef] [PubMed]
  65. Thannickal, V.J.; Fanburg, B.L. Activation of an H2O2-generating NADH oxidase in human lung fibroblasts by transforming growth factor β1. J. Biol. Chem. 1995, 270, 30334–30338. [Google Scholar] [CrossRef] [PubMed]
  66. Thannickal, V.J.; Aldweib, K.D.L.; Fanburg, B.L. Tyrosine Phosphorylation Regulates H2O2 Production in Lung Fibroblasts Stimulated by Transforming Growth Factor β1. J. Biol. Chem. 1998, 273, 23611–23615. [Google Scholar] [CrossRef] [PubMed]
  67. Hei, T.K.; Zhou, H.; Ivanov, V.N. Mechanism of radiation-induced bystander effects: A unifying model. J. Pharm. Pharmacol. 2008, 60, 943–950. [Google Scholar] [CrossRef] [PubMed]
  68. Prise, K.M.; O’sullivan, J.M. Radiation-induced bystander signalling in cancer therapy. Nat. Rev. Cancer 2009, 9, 351–360. [Google Scholar] [CrossRef]
  69. Huang, C.; Li, J.; Ding, M.; Wang, L.; Shi, X.; Castranova, V.; Vallyathan, V.; Gong, J.; Costa, M. Arsenic-induced NFkB transactivation through Erks-and JNKs-dependent pathways in mouse epidermal JB6 cells. In Molecular Mechanisms of Metal Toxicity and Carcinogenesis; Springer: Berlin/Heidelberg, Germany, 2001; pp. 29–34. [Google Scholar]
  70. Chen, S.; Zhao, Y.; Han, W.; Zhao, G.; Zhu, L.; Wang, J.; Bao, L.; Jiang, E.; Xu, A.; Hei, T.K. Mitochondria-dependent signalling pathway are involved in the early process of radiation-induced bystander effects. Br. J. Cancer 2008, 98, 1839. [Google Scholar] [CrossRef]
  71. Mothersill, C.; Stamato, T.D.; Perez, M.L.; Cummins, R.; Mooney, R.; Seymour, C.B. Involvement of energy metabolism in the production of ‘bystander effects’ by radiation. Br. J. Cancer 2000, 82, 1740–1746. [Google Scholar]
  72. Murphy, J.E.J.; Nugent, S.; Seymour, C.; Mothersill, C. Mitochondrial DNA point mutations and a novel deletion induced by direct low-LET radiation and by medium from irradiated cells. Mutat. Res. Toxicol. Environ. Mutagen. 2005, 585, 127–136. [Google Scholar] [CrossRef] [PubMed]
  73. Kim, J.G.; Chandrasekaran, K.; Morgan, F.W. Mitochondrial dysfunction, persistently elevated levels of reactive oxygen species and radiation-induced genomic instability: A review. Mutagenesis 2006, 21, 361–367. [Google Scholar] [CrossRef] [PubMed]
  74. Nugent, S.M.E.; Mothersill, C.E.; Seymour, C.; McClean, B.; Lyng, F.M.; Murphy, J.E.J. Increased mitochondrial mass in cells with functionally compromised mitochondria after exposure to both direct gamma radiation and bystander factors. Radiat. Res. 2007, 168, 134–142. [Google Scholar] [CrossRef] [PubMed]
  75. Tartier, L.; Gilchrist, S.; Burdak-Rothkamm, S.; Folkard, M.; Prise, K.M. Cytoplasmic irradiation induces mitochondrial-dependent 53BP1 protein relocalization in irradiated and bystander cells. Cancer Res. 2007, 67, 5872–5879. [Google Scholar] [CrossRef] [PubMed]
  76. Lee, E.G.; Boone, D.L.; Chai, S.; Libby, S.L.; Chien, M.; Lodolce, J.P.; Ma, A. Failure to regulate TNF-induced NF-κB and cell death responses in A20-deficient mice. Science 2000, 289, 2350–2354. [Google Scholar] [CrossRef] [PubMed]
  77. Karin, M.; Lin, A. NF-κB at the crossroads of life and death. Nat. Immunol. 2002, 3, 221–227. [Google Scholar] [CrossRef] [PubMed]
  78. Winston, B.W.; Chan, E.D.; Johnson, G.L.; Riches, D.W. Activation of p38mapk, MKK3, and MKK4 by TNF-alpha in mouse bone marrow-derived macrophages. J. Immunol. 1997, 159, 4491–4497. [Google Scholar]
  79. Hu, W.-H.; Johnson, H.; Shu, H.-B. Tumor necrosis factor-related apoptosis-inducing ligand receptors signal NF-κB and JNK activation and apoptosis through distinct pathways. J. Biol. Chem. 1999, 274, 30603–30610. [Google Scholar] [CrossRef]
  80. Gadea, G.; Roger, L.; Anguille, C.; de Toledo, M.; Gire, V.; Roux, P. TNFα induces sequential activation of Cdc42-and p38/p53-dependent pathways that antagonistically regulate filopodia formation. J. Cell Sci. 2004, 117, 6355–6364. [Google Scholar] [CrossRef]
  81. Manna, S.K.; Babajan, B.; Raghavendra, P.B.; Raviprakash, N.; Sureshkumar, C. Inhibiting TRAF2-mediated activation of NF-κB facilitates induction of AP-1. J. Biol. Chem. 2010, 285, 11617–11627. [Google Scholar] [CrossRef]
  82. Wu, M.-Z.; Chen, S.-F.; Nieh, S.; Benner, C.; Ger, L.-P.; Jan, C.-I.; Ma, L.; Chien, C.-H.; Hishida, T.; Chang, H.-T. Hypoxia drives breast malignancy through a TET-TNFα-p38-MAPK signaling axis. Cancer Res. 2015, 75, 3912–3924. [Google Scholar] [CrossRef] [PubMed]
  83. Akool, E.-S.; Doller, A.; Babelova, A.; Tsalastra, W.; Moreth, K.; Schaefer, L.; Pfeilschifter, J.; Eberhardt, W. Molecular mechanisms of TGFβ receptor-triggered signaling cascades rapidly induced by the calcineurin inhibitors cyclosporin A and FK506. J. Immunol. 2008, 181, 2831–2845. [Google Scholar] [CrossRef] [PubMed]
  84. Gupta, J.; Robbins, J.; Jilling, T.; Seth, P. TGFβ-dependent induction of interleukin-11 and interleukin-8 involves SMAD and p38 MAPK pathways in breast tumor models with varied bone metastases potential. Cancer Biol. Ther. 2011, 11, 311–316. [Google Scholar] [CrossRef] [PubMed]
  85. Choi, J.W.; Kim, D.G.; Park, M.C.; Um, J.Y.; Han, J.M.; Park, S.G.; Choi, E.-C.; Kim, S. AIMP2 promotes TNFα-dependent apoptosis via ubiquitin-mediated degradation of TRAF2. J. Cell Sci. 2009, 122, 2710–2715. [Google Scholar] [CrossRef] [PubMed]
  86. Hollstein, M.; Sidransky, D.; Vogelstein, B.; Harris, C.C. p53 mutations in human cancers. Science 1991, 253, 49–53. [Google Scholar] [CrossRef] [PubMed]
  87. Yonish-Rouach, E.; Resnftzky, D.; Lotem, J.; Sachs, L.; Kimchi, A.; Oren, M. Wild-type p53 induces apoptosis of myeloid leukaemic cells that is inhibited by interleukin-6. Nature 1991, 352, 345–347. [Google Scholar] [CrossRef]
  88. Calmels, S.; Hainaut, P.; Ohshima, H. Nitric oxide induces conformational and functional modifications of wild-type p53 tumor suppressor protein. Cancer Res. 1997, 57, 3365–3369. [Google Scholar]
  89. Cheng, Y.; Qiu, F.; Tashiro, S.; Onodera, S.; Ikejima, T. ERK and JNK mediate TNFα-induced p53 activation in apoptotic and autophagic L929 cell death. Biochem. Biophys. Res. Commun. 2008, 376, 483–488. [Google Scholar] [CrossRef]
  90. Kim, S.-J.; Ju, J.-W.; Oh, C.-D.; Yoon, Y.-M.; Song, W.K.; Kim, J.-H.; Yoo, Y.J.; Bang, O.-S.; Kang, S.-S.; Chun, J.-S. ERK-1/2 and p38 kinase oppositely regulate nitric oxide-induced apoptosis of chondrocytes in association with p53, caspase-3, and differentiation status. J. Biol. Chem. 2002, 277, 1332–1339. [Google Scholar] [CrossRef]
  91. Pelicano, H.; Carney, D.; Huang, P. ROS stress in cancer cells and therapeutic implications. Drug Resist. Updat. 2004, 7, 97–110. [Google Scholar] [CrossRef]
  92. Rasmussen, M.K.; Iversen, L.; Johansen, C.; Finnemann, J.; Olsen, L.S.; Kragballe, K.; Gesser, B. IL-8 and p53 are inversely regulated through JNK, p38 and NF-κB p65 in HepG2 cells during an inflammatory response. Inflamm. Res. 2008, 57, 329–339. [Google Scholar] [CrossRef] [PubMed]
  93. Hastak, K.; Gupta, S.; Ahmad, N.; Agarwal, M.K.; Agarwal, M.L.; Mukhtar, H. Role of p53 and NF-kB in epigallocatechin-3-gallate-induced apoptosis of LNCaP cells. Oncogene 2003, 22, 4851–4859. [Google Scholar] [CrossRef] [PubMed]
  94. Becatti, M.; Prignano, F.; Fiorillo, C.; Pescitelli, L.; Nassi, P.; Lotti, T.; Taddei, N. The involvement of Smac/DIABLO, p53, NF-kB, and MAPK pathways in apoptosis of keratinocytes from perilesional vitiligo skin: Protective effects of curcumin and capsaicin. Antioxid. Redox Signal. 2010, 13, 1309–1321. [Google Scholar] [CrossRef] [PubMed]
  95. Ryan, K.M.; Ernst, M.K.; Rice, N.R.; Vousden, K.H. Role of NF-κB in p53-mediated programmed cell death. Nature 2000, 404, 892–897. [Google Scholar] [CrossRef] [PubMed]
  96. Bentires-Alj, M.; Dejardin, E.; Viatour, P.; Van Lint, C.; Froesch, B.; Reed, J.C.; Merville, M.-P.; Bours, V. Inhibition of the NF-kB transcription factor increases Bax expression in cancer cell lines. Oncogene 2001, 20, 2805–2813. [Google Scholar] [CrossRef]
  97. Adorno, M.; Cordenonsi, M.; Montagner, M.; Dupont, S.; Wong, C.; Hann, B.; Solari, A.; Bobisse, S.; Rondina, M.B.; Guzzardo, V. A Mutant-p53/Smad complex opposes p63 to empower TGFβ-induced metastasis. Cell 2009, 137, 87–98. [Google Scholar] [CrossRef] [PubMed]
  98. Goh, A.M.; Coffill, C.R.; Lane, D.P. The role of mutant p53 in human cancer. J. Pathol. 2011, 223, 116–126. [Google Scholar] [CrossRef] [PubMed]
  99. Han, J.A.; Kim, J.; Ongusaha, P.P.; Hwang, D.H.; Ballou, L.R.; Mahale, A.; Aaronson, S.A.; Lee, S.W. p53-mediated induction of Cox-2 counteracts p53-or genotoxic stress-induced apoptosis. EMBO J. 2002, 21, 5635–5644. [Google Scholar] [CrossRef] [PubMed]
  100. Meßmer, U.K.; Ankarcrona, M.; Nicotera, P.; Brüne, B. p53 expression in nitric oxide-induced apoptosis. FEBS Lett. 1994, 355, 23–26. [Google Scholar] [CrossRef] [Green Version]
  101. Beckerman, R.; Prives, C. Transcriptional regulation by p53. Cold Spring Harb. Perspect. Biol. 2010, 2, a000935. [Google Scholar] [CrossRef]
  102. Moll, U.M.; Petrenko, O. The MDM2-p53 interaction. Mol. Cancer Res. 2003, 1, 1001–1008. [Google Scholar] [PubMed]
  103. Mothersill, C.; Bristow, R.G.; Harding, S.M.; Smith, R.W.; Mersov, A.; Seymour, C.B. A role for p53 in the response of bystander cells to receipt of medium borne signals from irradiated cells. Int. J. Radiat. Biol. 2011, 87, 1120–1125. [Google Scholar] [CrossRef] [PubMed]
  104. Widel, M.; Lalik, A.; Krzywon, A.; Poleszczuk, J.; Fujarewicz, K.; Rzeszowska-Wolny, J. The different radiation response and radiation-induced bystander effects in colorectal carcinoma cells differing in p53 status. Mutat. Res. Fundam. Mol. Mech. Mutagen. 2015, 778, 61–70. [Google Scholar] [CrossRef] [PubMed]
  105. Hamada, N.; Matsumoto, H.; Hara, T.; Kobayashi, Y. Intercellular and intracellular signaling pathways mediating ionizing radiation-induced bystander effects. J. Radiat. Res. 2007, 48, 87–95. [Google Scholar] [CrossRef] [PubMed]
  106. Brugarolas, J.; Chandrasekaran, C.; Gordon, J.I.; Beach, D.; Jacks, T.; Hannon, G.J. Radiation-induced cell cycle arrest compromised by p21 deficiency. Nature 1995, 377, 552–557. [Google Scholar] [CrossRef] [PubMed]
  107. Pietenpol, J.A.; Stewart, Z.A. Cell cycle checkpoint signaling: Cell cycle arrest versus apoptosis. Toxicology 2002, 181, 475–481. [Google Scholar] [CrossRef]
  108. DiPaola, R.S. To arrest or not to G2-M cell-cycle arrest. Clin. Cancer Res. 2002, 8, 3311–3314. [Google Scholar] [PubMed]
  109. Cayrol, C.; Knibiehler, M.; Ducommun, B. p21 binding to PCNA causes G1 and G2 cell cycle arrest in p53-deficient cells. Oncogene 1998, 16, 311. [Google Scholar] [CrossRef]
  110. Suzuki, K.; Mori, I.; Nakayama, Y.; Miyakoda, M.; Kodama, S.; Watanabe, M. Radiation-induced senescence-like growth arrest requires TP53 function but not telomere shortening. Radiat. Res. 2001, 155, 248–253. [Google Scholar] [CrossRef]
  111. Iyer, R.; Lehnert, B.E. Factors underlying the cell growth-related bystander responses to α particles. Cancer Res. 2000, 60, 1290–1298. [Google Scholar]
  112. Gartel, A.L.; Tyner, A.L. Transcriptional regulation of the p21 (WAF1/CIP1) gene. Exp. Cell Res. 1999, 246, 280–289. [Google Scholar] [CrossRef] [PubMed]
  113. Prowse, D.M.; Bolgan, L.; Molnár, À.; Dotto, G.P. Involvement of the Sp3 transcription factor in induction of p21Cip1/WAF1 in keratinocyte differentiation. J. Biol. Chem. 1997, 272, 1308–1314. [Google Scholar] [CrossRef] [PubMed]
  114. Al-Haj, L.; Blackshear, P.J.; Khabar, K.S.A. Regulation of p21/CIP1/WAF-1 mediated cell-cycle arrest by RNase L and tristetraprolin, and involvement of AU-rich elements. Nucleic Acids Res. 2012, 40, 7739–7752. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Steinman, R.A.; Hoffman, B.; Iro, A.; Guillouf, C.; Liebermann, D.A.; El-Houseini, M.E. Induction of p21 (WAF-1/CIP1) during differentiation. Oncogene 1994, 9, 3389–3396. [Google Scholar] [PubMed]
  116. Heldin, C.-H.; Moustakas, A. Role of Smads in TGFβ signaling. Cell Tissue Res. 2012, 347, 21–36. [Google Scholar] [CrossRef] [PubMed]
  117. Kardassis, D.; Papakosta, P.; Pardali, K.; Moustakas, A. c-Jun transactivates the promoter of the human p21 WAF1/Cip1 gene by acting as a superactivator of the ubiquitous transcription factor Sp1. J. Biol. Chem. 1999, 274, 29572–29581. [Google Scholar] [CrossRef] [PubMed]
  118. Moustakas, A.; Kardassis, D. Regulation of the human p21/WAF1/Cip1 promoter in hepatic cells by functional interactions between Sp1 and Smad family members. Proc. Natl. Acad. Sci. USA 1998, 95, 6733–6738. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. El-Deiry, W.S. p21/p53, cellular growth control and genomic integrity. In Cyclin Dependent Kinase (CDK) Inhibitors; Springer: Berlin/Heidelberg, Germany, 1998; pp. 121–137. [Google Scholar]
  120. Rodriguez, R.; Rubio, R.; Masip, M.; Catalina, P.; Nieto, A.; de la Cueva, T.; Arriero, M.; San Martin, N.; de la Cueva, E.; Balomenos, D. Loss of p53 induces tumorigenesis in p21-deficient mesenchymal stem cells. Neoplasia 2009, 11, 397. [Google Scholar] [CrossRef]
  121. Belyakov, O.V.; Folkard, M.; Mothersill, C.; Prise, K.M.; Michael, B.D. A proliferation-dependent bystander effect in primary porcine and human urothelial explants in response to targeted irradiation. Br. J. Cancer 2003, 88, 767–774. [Google Scholar] [CrossRef] [Green Version]
  122. Dickey, J.S.; Baird, B.J.; Redon, C.E.; Avdoshina, V.; Palchik, G.; Wu, J.; Kondratyev, A.; Bonner, W.M.; Martin, O.A. Susceptibility to bystander DNA damage is influenced by replication and transcriptional activity. Nucleic Acids Res. 2012, 40, 10274–10286. [Google Scholar] [CrossRef]
  123. Burdak-Rothkamm, S.; Short, S.C.; Folkard, M.; Rothkamm, K.; Prise, K.M. ATR-dependent radiation-induced γH2AX foci in bystander primary human astrocytes and glioma cells. Oncogene 2007, 26, 993. [Google Scholar] [CrossRef] [PubMed]
  124. Burdak-Rothkamm, S.; Rothkamm, K.; McClelland, K.; Al Rashid, S.T.; Prise, K.M. BRCA1, FANCD2 and Chk1 are potential molecular targets for the modulation of a radiation-induced DNA damage response in bystander cells. Cancer Lett. 2015, 356, 454–461. [Google Scholar] [CrossRef] [PubMed]
  125. Nagasawa, H.; Wilson, P.F.; Chen, D.J.; Thompson, L.H.; Bedford, J.S.; Little, J.B. Low doses of alpha particles do not induce sister chromatid exchanges in bystander Chinese hamster cells defective in homologous recombination. DNA Repair 2008, 7, 515–522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Mothersill, C.; Seymour, C. Survival of human epithelial cells irradiated with cobalt 60 as microcolonies or single cells. Int. J. Radiat. Biol. 1997, 72, 597–606. [Google Scholar] [PubMed]
  127. Sowa Resat, M.B.; Morgan, W.F. Radiation-induced genomic instability: A role for secreted soluble factors in communicating the radiation response to non-irradiated cells. J. Cell. Biochem. 2004, 92, 1013–1019. [Google Scholar] [CrossRef] [PubMed]
  128. Born, R.; Trott, K.R. Clonogenicity of the progeny of surviving cells after irradiation. Int. J. Radiat. Biol. 1988, 53, 319–330. [Google Scholar] [CrossRef]
  129. Groesser, T.; Cooper, B.; Rydberg, B. Lack of bystander effects from high-LET radiation for early cytogenetic end points. Radiat. Res. 2008, 170, 794–802. [Google Scholar] [CrossRef] [PubMed]
  130. Ryan, L.A.; Seymour, C.B.; O’Neill-Mehlenbacher, A.; Mothersill, C.E. Radiation-induced adaptive response in fish cell lines. J. Environ. Radioact. 2008, 99, 739–747. [Google Scholar] [CrossRef]
  131. Mukherjee, S.; Chakraborty, A. Radiation-induced bystander phenomenon: Insight and implications in radiotherapy. Int. J. Radiat. Biol. 2019, 95, 243–263. [Google Scholar] [CrossRef]
  132. Strigari, L.; Mancuso, M.; Ubertini, V.; Soriani, A.; Giardullo, P.; Benassi, M.; D’Alessio, D.; Leonardi, S.; Soddu, S.; Bossi, G. Abscopal effect of radiation therapy: Interplay between radiation dose and p53 status. Int. J. Radiat. Biol. 2014, 90, 248–255. [Google Scholar] [CrossRef]
  133. Kalanxhi, E.; Dahle, J. The role of serotonin and p53 status in the radiation-induced bystander effect. Int. J. Radiat. Biol. 2012, 88, 773–776. [Google Scholar] [CrossRef] [PubMed]
  134. Mothersill, C.; Antonelli, F.; Dahle, J.; Dini, V.; Hegyesi, H.; Iliakis, G.; Kamarainen, K.; Launonen, V.; Lumniczky, K.; Lyng, F.; et al. A laboratory inter-comparison of the importance of serum serotonin levels in the measurement of a range of radiation-induced bystander effects: Overview of study and results presentation. Int. J. Radiat. Biol. 2012, 88, 763–769. [Google Scholar] [CrossRef] [PubMed]
  135. Klammer, H.; Iliakis, G. The impact of serotonin on the development of bystander damage assessed by γ-H2AX foci analysis. Int. J. Radiat. Biol. 2012, 88, 777–780. [Google Scholar] [CrossRef] [PubMed]
  136. Gow, M.D.; Seymour, C.B.; Ryan, L.A.; Mothersill, C.E. Induction of Bystander Response in Human Glioma Cells using High-Energy Electrons: A Role for TGF-beta 1. Radiat. Res. 2010, 173, 769–778. [Google Scholar] [CrossRef] [PubMed]
  137. Yin, X.; Tian, W.; Wang, L.; Wang, J.; Zhang, S.; Cao, J.; Yang, H. Radiation quality-dependence of bystander effect in unirradiated fibroblasts is associated with TGF-β1-Smad2 pathway and miR-21 in irradiated keratinocytes. Sci. Rep. 2015, 5, 11373. [Google Scholar] [CrossRef] [PubMed]
  138. Hu, W.; Xu, S.; Yao, B.; Hong, M.; Wu, X.; Pei, H.; Chang, L.; Ding, N.; Gao, X.; Ye, C. MiR-663 inhibits radiation-induced bystander effects by targeting TGFB1 in a feedback mode. RNA Biol. 2014, 11, 1189–1198. [Google Scholar] [CrossRef]
  139. Lyng, F.M.; Seymour, C.B.; Mothersill, C. Oxidative stress in cells exposed to low levels of ionizing radiation. Biochem. Soc. Trans. 2001, 29, 350–353. [Google Scholar] [CrossRef]
  140. Clutton, S.M.; Townsend, K.M.S.; Walker, C.; Ansell, J.D.; Wright, E.G. Radiation-induced genomic instability and persisting oxidative stress in primary bone marrow cultures. Carcinogenesis 1996, 17, 1633–1639. [Google Scholar] [CrossRef]
  141. Sharma, N.; Colangelo, N.W.; de Toledo, S.M.; Azzam, E.I. Diffusible factors secreted by glioblastoma and medulloblastoma cells induce oxidative stress in bystander neural stem progenitors. ASN Neuro 2016, 8, 1759091416662808. [Google Scholar] [CrossRef]
  142. Tu, W.; Dong, C.; Konishi, T.; Kobayashi, A.; Furusawa, Y.; Uchihori, Y.; Xie, Y.; Dang, B.; Li, W.; Shao, C. G2-M phase-correlative bystander effects are co-mediated by DNA-PKcs and ATM after carbon ion irradiation. Mutat. Res. Toxicol. Environ. Mutagen. 2016, 795, 1–6. [Google Scholar] [CrossRef]
  143. Yang, S.; Xu, J.; Shao, W.; Geng, C.; Li, J.; Guo, F.; Miao, H.; Shen, W.; Ye, T.; Liu, Y. Radiation-induced bystander effects in A549 cells exposed to 6 MV X-rays. Cell Biochem. Biophys. 2015, 72, 877–882. [Google Scholar] [CrossRef] [PubMed]
  144. Burdak-Rothkamm, S.; Rothkamm, K. Radiation-induced bystander and systemic effects serve as a unifying model system for genotoxic stress responses. Mutat. Res. Rev. Mutat. Res. 2018, 778, 13–22. [Google Scholar] [CrossRef] [PubMed]
  145. Joiner, M.C.; Marples, B.; Lambin, P.; Short, S.C.; Turesson, I. Low-dose hypersensitivity: Current status and possible mechanisms. Int. J. Radiat. Oncol. Biol. Phys. 2001, 49, 379–389. [Google Scholar] [CrossRef]
  146. Fernandez-Palomo, C.; Seymour, C.; Mothersill, C. Inter-Relationship between Low-Dose Hyper-Radiosensitivity and Radiation-Induced Bystander Effects in the Human T98G Glioma and the Epithelial HaCaT Cell Line. Radiat. Res. 2016, 185, 124–133. [Google Scholar] [CrossRef] [PubMed]
  147. Mothersill, C.; Seymour, C.B.; Joiner, M.C.; May, N.; Mothersill, C.; Seymoura, I.C.B.; Joinerc, M.C. Relationship between Radiation-Induced Low-Dose Hypersensitivity and the Bystander Effect. Radiat. Res. 2002, 157, 526–532. [Google Scholar] [CrossRef]
  148. Mothersill, C.; Lyng, F.; OReilly, S.; Harney, J.; Seymour, C.B. Expression of lethal mutations is suppressed in neoplastically transformed cells and after treatment of normal cells with carcinogens. Radiat. Res. 1996, 145, 714–721. [Google Scholar] [CrossRef] [PubMed]
  149. Mothersill, C.E.; O’Malley, K.J.; Murphy, D.M.; Seymour, C.B.; Lorimore, S.A.; Wright, E.G. Identification and characterization of three subtypes of radiation response in normal human urothelial cultures exposed to ionizing radiation. Carcinogenesis 1999, 20, 2273–2278. [Google Scholar] [CrossRef]
  150. Mothersill, C.; Lyng, F.; Seymour, C.; Maguire, P.; Lorimore, S.; Wright, E. Genetic factors influencing bystander signaling in murine bladder epithelium after low-dose irradiation in vivo. Radiat. Res. 2005, 163, 391–399. [Google Scholar] [CrossRef]
  151. Pampfer, S.; Streffer, C.; Müller, W.-U. Micronucleus formation in 2-cell embryos after in vitro X-irradiation of mouse spermatozoa. Mutat. Res. Mol. Mech. Mutagen. 1989, 210, 191–196. [Google Scholar] [CrossRef]
  152. Burtt, J.J.; Thompson, P.A.; Lafrenie, R.M. Non-targeted effects and radiation-induced carcinogenesis: A review. J. Radiol. Prot. 2016, 36, R23. [Google Scholar] [CrossRef]
  153. Yahyapour, R.; Motevaseli, E.; Rezaeyan, A.; Abdollahi, H.; Farhood, B.; Cheki, M.; Najafi, M.; Villa, V. Mechanisms of radiation bystander and non-targeted effects: Implications to radiation carcinogenesis and radiotherapy. Curr. Radiopharm. 2018, 11, 34–45. [Google Scholar] [CrossRef] [PubMed]
  154. Rodel, F.; Frey, B.; Multhoff, G.; Gaipl, U. Contribution of the immune system to bystander and non-targeted effects of ionizing radiation. Cancer Lett. 2015, 356, 105–113. [Google Scholar] [CrossRef] [PubMed]
  155. Hamada, N.; Maeda, M.; Otsuka, K.; Tomita, M. Signaling pathways underpinning the manifestations of ionizing radiation-induced bystander effects. Curr. Mol. Pharmacol. 2011, 4, 79–95. [Google Scholar] [CrossRef] [PubMed]
  156. Furlong, H.; Mothersill, C.; Armstrong, L.; Howe, O. Expression of genes Involved in a Radiation-Induced Bystander Effect. Mutagenesis 2012, 27, 125. [Google Scholar]
  157. Sawal, H.A.; Asghar, K.; Bureik, M.; Jalal, N. Bystander signaling via oxidative metabolism. Onco Targets Ther. 2017, 10, 3925–3940. [Google Scholar] [CrossRef]
  158. Lyng, F.M.; Seymour, C.B.; Mothersill, C. Production of a signal by irradiated cells which leads to a response in unirradiated cells characteristic of initiation of apoptosis. Br. J. Cancer 2000, 83, 1223–1230. [Google Scholar] [CrossRef]
  159. Mothersill, C.; Seymour, R.J.; Seymour, C.B. Increased radiosensitivity in cells of two human cell lines treated with bystander medium from irradiated repair-deficient cells. Radiat. Res. 2006, 165, 26–34. [Google Scholar] [CrossRef]
  160. Mothersill, C.; Seymour, R.J.; Seymour, C.B. Bystander effects in repair-deficient cell lines. Radiat. Res. 2004, 161, 256–263. [Google Scholar] [CrossRef]
  161. Zhang, Y.; Zhou, J.; Held, K.D.; Redmond, R.W.; Prise, K.M.; Liber, H.L. Deficiencies of double-strand break repair factors and effects on mutagenesis in directly gamma-irradiated and medium-mediated bystander human lymphoblastoid cells. Radiat. Res. 2008, 169, 197–206. [Google Scholar] [CrossRef]
  162. Tu, W.; Dong, C.; Fu, J.; Pan, Y.; Kobayashi, A.; Furusawa, Y.; Konishi, T.; Shao, C. Both irradiated and bystander effects link with DNA repair capacity and the linear energy transfer. Life Sci. 2019, 222, 228–234. [Google Scholar] [CrossRef]
  163. Mladenov, E.; Li, F.; Zhang, L.; Klammer, H.; Iliakis, G. Intercellular communication of DNA damage and oxidative status underpin bystander effects. Int. J. Radiat. Biol. 2018, 94, 719–726. [Google Scholar] [CrossRef] [PubMed]
  164. Mothersill, C.; Smith, R.W.; Hinton, T.G.; Aizawa, K.; Seymour, C.B. Communication of Radiation-Induced Signals in Vivo between DNA Repair Deficient and Proficient Medaka (Oryzias latipes). Environ. Sci. Technol. 2009, 43, 3335–3342. [Google Scholar] [CrossRef] [PubMed]
  165. Albanese, J.; Dainiak, N. Modulation of intercellular communication mediated at the cell surface and on extracellular, plasma membrane-derived vesicles by ionizing radiation. Exp. Hematol. 2003, 31, 455–464. [Google Scholar] [CrossRef]
  166. Yentrapalli, R.; Merl-Pham, J.; Azimzadeh, O.; Mutschelknaus, L.; Peters, C.; Hauck, S.M.; Atkinson, M.J.; Tapio, S.; Moertl, S. Quantitative changes in the protein and miRNA cargo of plasma exosome-like vesicles after exposure to ionizing radiation. Int. J. Radiat. Biol. 2017, 93, 569–580. [Google Scholar] [CrossRef] [PubMed]
  167. Ahmad, S.B.; McNeill, F.E.; Byun, S.H.; Prestwich, W.V.; Seymour, C.; Mothersill, C.E. Ion beam induced luminescence: Relevance to radiation induced bystander effects. Nucl. Instrum. Methods Phys. Res. Sect. B 2012, 288, 81–88. [Google Scholar] [CrossRef]
  168. Mothersill, C.; Moran, G.; McNeill, F.; Gow, M.D.; Denbeigh, J.; Prestwich, W.; Seymour, C.B. A role for bioelectric effects in the induction of bystander signals by ionizing radiation? Dose-Response 2007, 5. [Google Scholar] [CrossRef] [PubMed]
  169. Ishii, M.; Rohrer, B. Bystander effects elicited by single-cell photo-oxidative blue-light stimulation in retinal pigment epithelium cell networks. Cell Death Discov. 2017, 3, 16071. [Google Scholar] [CrossRef] [PubMed]
  170. Whiteside, J.R.; McMillan, T.J. A bystander effect is induced in human cells treated with UVA radiation but not UVB radiation. Radiat. Res. 2009, 171, 204–211. [Google Scholar] [CrossRef]
  171. O’Reilly, J.P.; Mothersill, C. Comparative effects of UV A and UV B on clonogenic survival and delayed cell death in skin cell lines from humans and fish. Int. J. Radiat. Biol. 1997, 72, 111–119. [Google Scholar]
  172. Le, M.; McNeill, F.E.; Seymour, C.B.; Rusin, A.; Diamond, K.; Rainbow, A.J.; Murphy, J.; Mothersill, C.E. Modulation of oxidative phosphorylation (OXPHOS) by radiation-induced biophotons. Environ. Res. 2018, 163, 80–87. [Google Scholar] [CrossRef]
  173. Ryan, J.L.; Carroll, J.K.; Ryan, E.P.; Mustian, K.M.; Fiscella, K.; Morrow, G.R. Mechanisms of cancer-related fatigue. Oncologist 2007, 12 (Suppl. 1), 22–34. [Google Scholar] [CrossRef]
  174. Fujita, Y.; Yoshihara, Y.; Sato, I.; Sato, S. Environmental radioactivity damages the DNA of earthworms of Fukushima Prefecture, Japan. Eur. J. Wildl. Res. 2014, 60, 145–148. [Google Scholar] [CrossRef]
  175. Lorimore, S.A.; Chrystal, J.A.; Robinson, J.I.; Coates, P.J.; Wright, E.G. Chromosomal instability in unirradiated hemaopoietic cells induced by macrophages exposed in vivo to ionizing radiation. Cancer Res. 2008, 68, 8122–8126. [Google Scholar] [CrossRef] [PubMed]
  176. Seymour, C.B.; Mothersill, C. Delayed expression of lethal mutations and genomic instability in the progeny of human epithelial cells that survived in a bystander-killing environment. Radiat. Oncol. Investig. 1997, 5, 106–110. [Google Scholar] [CrossRef]
  177. Mothersill, C.; OMalley, K.; Colucci, S.; Murphy, D.; Lynch, T.; Payne, S.; Seymour, C.; Harney, J. p53 protein expression and increased SSCP mobility shifts in the p53 gene in normal urothelium cultured from smokers. Carcinogenesis 1997, 18, 1241–1245. [Google Scholar] [CrossRef] [PubMed]
  178. Colucci, S.; ElGehani, R.; Flint, S.; Mothersill, C. p53 mutations and protein expression in primary cultures of normal oral mucosa in smokers and non-smokers. Oral Oncol. 1997, 33, 240–246. [Google Scholar] [CrossRef]
  179. Lyng, F.M.; deFeijterRupp, H.L.; Hayashi, T.; OMalley, K.; Murphy, D.M.; Cottell, D.C.; Trosko, J.E.; Seymour, C.B.; Mothersill, C. Effect of a tobacco-related nitrosamine on intercellular communication in human urothelial cells: A possible factor in smoking-related bladder carcinogenesis. Oncol. Res. 1996, 8, 371–378. [Google Scholar] [PubMed]
  180. Shields, L.; Vega-Carrascal, I.; Singleton, S.; Lyng, F.M.; McClean, B. Cell survival and DNA damage in normal prostate cells irradiated out-of-field. Radiat. Res. 2014, 182, 499–506. [Google Scholar] [CrossRef]
  181. Hanna, G.G.; Coyle, V.M.; Prise, K.M. Immune modulation in advanced radiotherapies: Targeting out-of-field effects. Cancer Lett. 2015, 368, 246–251. [Google Scholar] [CrossRef] [Green Version]
  182. Li, N.; Ragheb, K.; Lawler, G.; Sturgis, J.; Rajwa, B.; Melendez, J.A.; Robinson, J.P. Mitochondrial complex I inhibitor rotenone induces apoptosis through enhancing mitochondrial reactive oxygen species production. J. Biol. Chem. 2003, 278, 8516–8525. [Google Scholar] [CrossRef]
  183. Mothersill, C.; Seymour, C. Radiation-induced bystander effects and adaptive responses-the Yin and Yang of low dose radiobiology? Mutat. Res. Mol. Mech. Mutagen. 2004, 568, 121–128. [Google Scholar] [CrossRef] [PubMed]
  184. Sawant, S.G.; Randers-Pehrson, G.; Metting, N.F.; Hall, E.J. Adaptive response and the bystander effect induced by radiation in C3H 10T½ cells in culture. Radiat. Res. 2001, 156, 177–180. [Google Scholar] [CrossRef]
  185. Sodhi, K.S.; Krishna, S.; Saxena, A.K.; Sinha, A.; Khandelwal, N.; Lee, E.Y. Clinical application of “Justification” and “Optimization” principle of ALARA in pediatric CT imaging: ‘How many children can be protected from unnecessary radiation?’. Eur. J. Radiol. 2015, 84, 1752–1757. [Google Scholar] [CrossRef] [PubMed]
  186. Sheppard, J.P.; Nguyen, T.; Alkhalid, Y.; Beckett, J.S.; Salamon, N.; Yang, I. Risk of Brain Tumor Induction from Pediatric Head CT Procedures: A Systematic Literature Review. Brain Tumor Res. Treat. 2018, 6, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  187. Meulepas, J.M.; Hauptmann, M.; Lubin, J.H.; Shuryak, I.; Brenner, D.J. Is there Unmeasured Indication Bias in Radiation-Related Cancer Risk Estimates from Studies of Computed Tomography? Radiat. Res. 2018, 189, 128–135. [Google Scholar] [CrossRef] [PubMed]
  188. Seymour, C.B.; Mothersill, C. Relative contribution of bystander and targeted cell killing to the low-dose region of the radiation dose-response curve. Radiat. Res. 2000, 153, 508–511. [Google Scholar] [CrossRef]
  189. Liu, Z.F.; Mothersill, C.E.; McNeill, F.E.; Lyng, F.M.; Byun, S.H.; Seymour, C.B.; Prestwich, W.V. A dose threshold for a medium transfer bystander effect for a human skin cell line. Radiat. Res. 2006, 166, 19–23. [Google Scholar] [CrossRef]
  190. Schettino, G.; Folkard, M.; Michael, B.D.; Prise, K.M. Low-dose binary behavior of bystander cell killing after microbeam irradiation of a single cell with focused CK X rays. Radiat. Res. 2005, 163, 332–336. [Google Scholar] [CrossRef]
  191. Seymour, C.B.; Mothersill, C. Lethal Mutations, the survival-curve shoulder and split-dose recovery. Int. J. Radiat. Biol. 1989, 56, 999–1010. [Google Scholar] [CrossRef]
  192. Alper, T.; Mothersill, C.; Seymour, C.B. Lethal mutations attributable to misrepair of Q-lesions. Int. J. Radiat. Biol. 1988, 54, 525–530. [Google Scholar] [CrossRef]
  193. Burnet, N.G.; Nyman, J.; Turesson, I.; Wurm, R.; Yarnold, J.R.; Peacock, J.H. Prediction of normal-tissue tolerance to radiotherapy from in-vitro cellular radiation sensitivity. Lancet 1992, 339, 1570–1571. [Google Scholar] [CrossRef]
  194. Hsu, W.-L.; Tatsukawa, Y.; Neriishi, K.; Yamada, M.; Cologne, J.; Fujiwara, S. Longitudinal trends of total white blood cell and differential white blood cell counts of atomic bomb survivors. J. Radiat. Res. 2010, 51, 431–439. [Google Scholar] [CrossRef] [PubMed]
  195. Lewis, D.A.; Mayhugh, B.M.; Qin, Y.; Trott, K.; Mendonca, M.S. Production of delayed death and neoplastic transformation in CGL1 cells by radiation-induced bystander effects. Radiat. Res. 2001, 156, 251–258. [Google Scholar] [CrossRef]
  196. Brenner, D.J.; Little, J.B.; Sachs, R.K. The bystander effect in radiation oncogenesis: II. A quantitative model. Radiat. Res. 2001, 155, 402–408. [Google Scholar] [CrossRef]
  197. Marozik, P.; Mothersill, C.; Seymour, C.B.; Mosse, I.; Melnov, S. Bystander effects induced by serum from survivors of the Chernobyl accident. Exp. Hematol. 2007, 35, 55–63. [Google Scholar] [CrossRef] [PubMed]
  198. Emerit, I.; Quastel, M.; Goldsmith, J.; Merkin, L.; Levy, A.; Cernjavski, L.; Alaoui-Youssefi, A.; Pogossian, A.; Riklis, E. Clastogenic factors in the plasma of children exposed at Chernobyl. Mutat. Res. 1997, 373, 47–54. [Google Scholar] [CrossRef]
  199. Dubrova, Y.E.; Nesterov, V.N.; Krouchinsky, N.G.; Ostapenko, V.A.; Neumann, R.; Neil, D.L.; Jeffreys, A.J. Human minisatellite mutation rate after the Chernobyl accident. Nature 1996, 380, 683–686. [Google Scholar] [CrossRef] [PubMed]
  200. Dubrova, Y.E.; Nesterov, V.N.; Krouchinsky, N.G.; Ostapenko, V.A.; Vergnaud, G.; Giraudeau, F.; Buard, J.; Jeffreys, A.J. Further evidence for elevated human minisatellite mutation rate in Belarus eight years after the Chernobyl accident. Mutat. Res. 1997, 381, 267–278. [Google Scholar] [PubMed]
  201. Morgan, W.F. Non-targeted and delayed effects of exposure to ionizing radiation: II. Radiation-induced genomic instability and bystander effects in vivo, clastogenic factors and transgenerational effects. Radiat. Res. 2003, 159, 581–596. [Google Scholar] [CrossRef]
  202. Wisdom, K.M.; Adebowale, K.; Chang, J.; Lee, J.Y.; Nam, S.; Desai, R.; Rossen, N.S.; Rafat, M.; West, R.B.; Hodgson, L.; et al. Matrix mechanical plasticity regulates cancer cell migration through confining microenvironments. Nat. Commun. 2018, 9, 4144. [Google Scholar] [CrossRef] [PubMed]
  203. Gandhi, S.; Chandna, S. Radiation-induced inflammatory cascade and its reverberating crosstalks as potential cause of post-radiotherapy second malignancies. Cancer Metastasis Rev. 2017, 36, 375–393. [Google Scholar] [CrossRef] [PubMed]
  204. Lee, G.; Hall, R.R., III; Ahmed, A.U. Cancer Stem Cells: Cellular Plasticity, Niche, and its Clinical Relevance. J. Stem Cell Res. Ther. 2016, 6, 363. [Google Scholar] [CrossRef] [PubMed]
  205. Schofield, P.N.; Kondratowicz, M. Evolving paradigms for the biological response to low dose ionizing radiation; the role of epigenetics. Int. J. Radiat. Biol. 2018, 94, 769–781. [Google Scholar] [CrossRef] [PubMed]
  206. Perduca, V.; Omichessan, H.; Baglietto, L.; Severi, G. Mutational and epigenetic signatures in cancer tissue linked to environmental exposures and lifestyle. Curr. Opin. Oncol. 2018, 30, 61–67. [Google Scholar] [CrossRef] [PubMed]
  207. Liggett, L.A.; DeGregori, J. Changing mutational and adaptive landscapes and the genesis of cancer. Biochim. Biophys. Acta Rev. Cancer 2017, 1867, 84–94. [Google Scholar] [CrossRef] [PubMed]
Figure 1. A map of potential pathways and their potential interactions activated by a soluble factor- radiation-induced bystander effect (RIBE) signal. While not entirely inclusive, this map was constructed to be displayed as a working reference point for current and future research. The pathways outlined in the legend have been identified as candidates for RIBE-intracellular and extracellular signalling. The following Figure 2, Figure 3, Figure 4 and Figure 5 are entirely derivative of this one and attempt to more closely showcase potential signalling within each pathway. Black lines or “generic pathways” represent interactions belonging to the other four pathways that could not be specified in this figure for clarity.
Figure 1. A map of potential pathways and their potential interactions activated by a soluble factor- radiation-induced bystander effect (RIBE) signal. While not entirely inclusive, this map was constructed to be displayed as a working reference point for current and future research. The pathways outlined in the legend have been identified as candidates for RIBE-intracellular and extracellular signalling. The following Figure 2, Figure 3, Figure 4 and Figure 5 are entirely derivative of this one and attempt to more closely showcase potential signalling within each pathway. Black lines or “generic pathways” represent interactions belonging to the other four pathways that could not be specified in this figure for clarity.
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Figure 2. A simplified TNFα signalling transduction pathway. Activation of this pathway could lead to propagation of the RIBE signal through TNFα recognition and subsequent cytokine release.
Figure 2. A simplified TNFα signalling transduction pathway. Activation of this pathway could lead to propagation of the RIBE signal through TNFα recognition and subsequent cytokine release.
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Figure 3. The classical MAPK pathway and a simplified NF-kB pathway. This pathway is of particular interest because of TGFβ’s ability to induce signalling through receptor recognition and signal amplification. The pathway is also of interest because of its endpoints, namely activation of p53 and various cytokines.
Figure 3. The classical MAPK pathway and a simplified NF-kB pathway. This pathway is of particular interest because of TGFβ’s ability to induce signalling through receptor recognition and signal amplification. The pathway is also of interest because of its endpoints, namely activation of p53 and various cytokines.
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Figure 4. The simplified “cell cycle arrest pathway” downstream of p53 activation. This pathway ties in with the classic MAPK pathway and, therefore, TGFβ. This pathway also shows how p53 activation can lead to the expression of p21 and cell cycle arrest. It is important to note that p53 has many functions, and expression can also lead to apoptosis in other circumstances. The protein p21 is also involved in inhibition of other cyclin kinases and subsequent M-phase arrest (not shown) [59,60,61].
Figure 4. The simplified “cell cycle arrest pathway” downstream of p53 activation. This pathway ties in with the classic MAPK pathway and, therefore, TGFβ. This pathway also shows how p53 activation can lead to the expression of p21 and cell cycle arrest. It is important to note that p53 has many functions, and expression can also lead to apoptosis in other circumstances. The protein p21 is also involved in inhibition of other cyclin kinases and subsequent M-phase arrest (not shown) [59,60,61].
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Figure 5. A simplified TGFβ pathway leading to p21 expression. While p21 can be expressed through different pathways such as these, it is important to quantify which pathways affect p21 expression and activation the most in the RIBE response. This pathway is intrinsically connected to the TNFα, MAPK, and cell cycle pathways as an endpoint for intracellular signalling.
Figure 5. A simplified TGFβ pathway leading to p21 expression. While p21 can be expressed through different pathways such as these, it is important to quantify which pathways affect p21 expression and activation the most in the RIBE response. This pathway is intrinsically connected to the TNFα, MAPK, and cell cycle pathways as an endpoint for intracellular signalling.
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Figure 6. A hypothetical signalling pathway that illustrates how the various pathways in this review may be connected, which is partially informed by preliminary research.
Figure 6. A hypothetical signalling pathway that illustrates how the various pathways in this review may be connected, which is partially informed by preliminary research.
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Figure 7. Steps and processes involved in the bystander effect as currently understood.
Figure 7. Steps and processes involved in the bystander effect as currently understood.
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Table 1. Reported Effects.
Table 1. Reported Effects.
Direct Irradiation EffectsEffects in Descendant Progeny and Neighbours *
DeathDeath
Reproductive FailureReproductive Failure
Cellular ApoptosisCellular Apoptosis
Mitochondrial DefectsMitochondrial Defects
Proteomic ChangesProteomic Changes
Signalling DefectsSignalling Defects
Adaptive ResponsesAdaptive Responses
Genetic Differences in RadiosensitivityGenetic Differences in Radiosensitivity
* Persistent effects in descendant progeny that occur following no further irradiation and in cells neighbouring directly irradiated cells, however, the descendant progeny never directly exposed themselves.

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Mothersill, C.; Rusin, A.; Seymour, C. Relevance of Non-Targeted Effects for Radiotherapy and Diagnostic Radiology; A Historical and Conceptual Analysis of Key Players. Cancers 2019, 11, 1236. https://doi.org/10.3390/cancers11091236

AMA Style

Mothersill C, Rusin A, Seymour C. Relevance of Non-Targeted Effects for Radiotherapy and Diagnostic Radiology; A Historical and Conceptual Analysis of Key Players. Cancers. 2019; 11(9):1236. https://doi.org/10.3390/cancers11091236

Chicago/Turabian Style

Mothersill, Carmel, Andrej Rusin, and Colin Seymour. 2019. "Relevance of Non-Targeted Effects for Radiotherapy and Diagnostic Radiology; A Historical and Conceptual Analysis of Key Players" Cancers 11, no. 9: 1236. https://doi.org/10.3390/cancers11091236

APA Style

Mothersill, C., Rusin, A., & Seymour, C. (2019). Relevance of Non-Targeted Effects for Radiotherapy and Diagnostic Radiology; A Historical and Conceptual Analysis of Key Players. Cancers, 11(9), 1236. https://doi.org/10.3390/cancers11091236

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