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Biology of high single doses of IORT: RBE, 5 R’s, and other biological aspects

Radiation Oncology volume 12, Article number: 24 (2017) Cite this article

Abstract

Intraoperative radiotherapy differs from conventional, fractionated radiotherapy in several aspects that may influence its biological effect. The radiation quality influences the relative biologic effectiveness (RBE), and the role of the five R’s of radiotherapy (reassortment, repair, reoxygenation, repopulation, radiosensitivity) is different. Furthermore, putative special biological effects and the small volume receiving a high single dose may be important. The present review focuses on RBE, repair, and repopulation, and gives an overview of the other factors that potentially contribute to the efficacy. The increased RBE should be taken into account for low-energy X-rays while evidence of RBE < 1 for high-energy electrons at higher doses is presented. Various evidence supports a hypothesis that saturation of the primary DNA double-strand break (DSB) repair mechanisms leads to increasing use of an error-prone backup repair system leading to genomic instability that may contribute to inactivate tumour cells at high single doses. Furthermore, the elimination of repopulation of residual tumour cells in the tumour bed implies that some patients are likely to have very few residual tumour cells which may be cured even by low doses to the tumour bed. The highly localised dose distribution of IORT has the potential to inactivate tumour cells while sparing normal tissue by minimising the volume exposed to high doses. Whether special effects of high single doses also contribute to the efficacy will require further experimental and clinical studies.

Background

Technological advances in mobile radiotherapy (RT) units have greatly increased the clinical application of intraoperative radiotherapy (IORT) [1–4] by providing highly localized beams of low-energy X-rays (LEX) or high-energy (MeV) electrons. The physical radiation qualities of these sources may differ to some extent from that of high-energy photons (MeV X- or γ-rays) used in conventional external beam RT, and thus potentially influence the relative biologic effectiveness (RBE). Similarly, differences in dose distributions will influence the biological effects on residual tumour cells after excision of the tumour and on normal tissue cells in the tumor bed. Furthermore, delivering the total dose of adjuvant RT in a single large fraction is a major departure from conventional fractionated external beam RT with typical daily fraction sizes of 1.8–2.0 Gy. The rationale for fractionated RT is based on the four R’s of RT: reassortment, repair, reoxygenation, and repopulation [5], to which radiosensitivity was later added [6]. Reassortment between fractions redistributes surviving cells over cell-cycle phases thus avoiding repeated irradiation in resistant phases. Repair influences the biological effects of dose rate and time between fractions. Reoxygenation is important for tumours containing acutely hypoxic fractions of malignant cells. Repopulation decreases the biological effect of RT with long overall treatment time, and the radiosensitivity of tumour cells to different single doses (i.e., the dose response) determines the biological effect when the fraction size is increased. In addition, very large dose fractions may induce effects at cellular, tissue, and systemic, levels that are different from those seen after fractionated schemes with moderate fraction sizes (1–3 Gy). Finally, the dose distribution influences the biological effect on tumour cells and normal tissue. Here we discuss these factors with an emphasis on the biological effects of radiation quality, repair, and the role of repopulation.

Radiation quality

Currently, IORT is applied using isotropic fields of 50 kV X-rays or dedicated linear accelerators with parallel electron beams of nominally 3–12 MeV [7]. The radiation quality is characterized by the ionisation density which is quantified by the linear energy transfer (LET) [8]. Electrons and X-rays are low-LET radiations as opposed to α-particles and heavy ions which are high-LET radiations. The LET increases with decreasing energy and thus the LET of LEX is higher than that of high-energy electrons although both are low-LET radiations with LET values 1–2 orders of magnitude lower than that of high-LET radiation. [8–10]. LEX deposit a higher proportion of their energy as electron track ends with low energies (<1 keV) compared with high-energy X-rays. Thus LEX will produce more lethal DNA lesions (double-strand breaks, DSBs, and complex lesions) per Gy resulting in an increased RBE [9–12].

The RBE of 50 kV X-rays from the Intrabeam® system (Carl Zeiss Meditec AG, Jena, Germany) for cell inactivation in vitro was determined for irradiation in a tumour-bed phantom. Irradiation at a distance of 8 mm from the surface of a 4 cm spherical tumour-bed applicator showed significantly increased RBE values relative to the reference radiation of 6MV X-rays [13]. The RBE values were comparable with that of a 50 kV surface X-ray unit and various published studies using experimental LEX sources [14–17] but was lower than the experimental values reported for the Intrabeam predecessor source operated at 40 kV X-ray without an applicator [18].

The RBE is defined as the dose ratio of the reference and test radiations producing the same biological effect: RBE = Dref/Dtest. In terms of the linear-quadratic (L-Q) formalism ln(SF) = −(α × D + β × D2) where SF is the surviving fraction of cells, D is the single-fraction dose, and α and β are the linear and quadratic coefficients, this implies that RBE → αtest/αref in the low-dose limit (D → 0 Gy) while the high-dose asymptotic limit will be RBE → 1 if the value of β is the same for the two radiations. Thus, for high-LET radiation and LEX with RBE > 1, the L-Q formalism predicts a maximum RBE value at D = 0 Gy and a decrease in RBE with increasing dose. However, Liu et al. [13] found no significant dependence of RBE on dose indicating an effect of RBE on both the linear and quadratic components of the linear-quadratic model. This agrees with previous RBE studies on low-LET radiations [14–17] but contrasts with the assumptions of the L-Q model that the radiation quality affects mainly the linear term representing irreparable lesions [19, 20]. On the other hand, a study on monoenergetic 8 keV photons was consistent with the L-Q assumption of an effect on the linear component and showed further radiobiological effects reminiscent of high LET [21]. The latter is unexpected because photoelectrons released by interactions of photons with water and other molecules in the cells should not be different from track-ends of electrons with higher initial kinetic energy. These apparently conflicting result might be reconciled if a proportion of the absorption events of 8 keV photons result in emission of highly localized low-energy Auger electrons that produce more complex damage [22–24].

The unfiltered energy spectrum from Intrabeam includes a substantial contribution of low photon energies which are filtered over the first 1–2 cm of water-equivalent material resulting in hardening of the beam within the spherical applicators [9, 25]. Whether further beam hardening occurs in the tumour bed targeted by IORT is unclear but attenuation of the radial dose function for 50 kV X-rays is nearly constant at 2.0–3.5 cm radial distance from the source suggesting no gross change in radiation quality [9].

Because the energy of MeV electron beams is usually higher than the mean energy of secondary electrons produced when 6MV X-rays interact with water or tissue, the RBE of high-energy electrons may be slightly lower than that of X-rays. RBE values of 0.9 ± 0.1 for 11 MeV electrons relative to 60Co γ-rays (E = 1.25 MeV) have been published [17] but the RBE relative to 6MV X-rays used in modern external beam RT has not been determined so far. Therefore, we measured the RBE of 10 MeV electrons from a linear accelerator for cell survival in vitro. Survival of V79 cells showed no difference between 10 MeV electrons and 6MV X-rays at doses up to 6–8 Gy but an increase of surviving fractions (SF) was suggested in the dose range 10–12 Gy (Additional file 1: Supplementary Material and Additional file 2: Figure S1A). This trend was confirmed in independent experiments where the dose was extended to 14.3–17.1 Gy yielding an RBE value of 0.94 ± 0.02 (P = 0.04, n=3) at SF = 0.0003. For MCF7 breast cancer cells (Fig. 1a, Additional file 2: Figure S1B) no significant difference was observed up to 11.4 Gy (RBE = 0.98 ± 0.01, P = 0.10, n=3) at SF = 0.0003 but normal human umbilical vein endothelial cells (HUVECs; Fig. 1b and Additional file 2: Figure S1C) showed significantly decreased values of RBE = 0.93 ± 0.02 (P = 0.005, n = 6) at SF = 0.03 (mean electron dose 5.8 Gy) and RBE = 0.91 ± 0.02 (P = 0.015, n = 3) at SF = 0.005 (mean electron dose 8.7 Gy). However, the data seemed to indicate an effect on the quadratic term which is considered to represent potentially lethal but reparable lesions [26]. Thus, overall the RBE of 10 MeV electrons was only moderately or not significantly reduced relative to 6MV X-rays in the three cell lines tested. This supports clinical practice from fractionated RT assuming RBE = 1 for electrons given in standard fraction sizes. The fact that a reduced RBE was only detected at higher doses may either simply reflect the different slopes of the survival curves or possibly indicate a role of reparable damage in the RBE of low-LET radiations. Whether the apparent difference between MCF7 and HUVEC is characteristic for tumour and normal cells will require further studies.

Fig. 1
figure 1

Survival curves for irradiation of cells in vitro with 10 MeV electrons (20 mm water-equivalent depth) or 6 MV X-rays. The RBE of electrons was not significantly different from 1 (RBE = 0.98 ± 0.01; P = 0.10, n = 3) for MCF7 cells (a) while RBE was significantly reduced (RBE = 0.91 ± 0.02, P = 0.015, n = 3) after irradiation of HUVEC with higher doses (b). These experiments corroborated trends observed in independent experiments at lower doses (Additional file 2: Figures S1B, C)

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It is important to note that differences in the RBE of low-LET radiations with different beam energies do not influence the quality of different IORT modalities per se. Although the yield of lethal lesions per Gy will differ, doses from different radiation qualities may be compared by multiplying the physical dose with the RBE to give the isoeffective dose of the reference radiation. However, the types of lesions are the same since the ionisation tracks are produced by the same kind of particles, namely primary or secondary electrons. This contrasts with high-LET radiations such as C-ions, which produce a dense track of ionisations resulting in mainly complex, irreparable lesions.

Reassortment

Cellular radiosensitivity varies through the cell cycle, with mitosis and late G1 phase being sensitive while the late synthetic (S)-phase is relatively resistant [8]. Thus surviving cells after irradiation of asynchronous cell populations will be enriched in the more resistant phases. During fractionated radiotherapy of tumours with rapid cell proliferation, heterogeneity in cell cycle kinetics will redistribute (reassort) cells over the cell cycle between daily fractions [27]. Obviously, reassortment does not play a role in IORT with a single dose. However, single-dose cell survival curves show no evidence of a resistant subpopulation which should manifest itself by a decreased slope at higher doses similar to that observed for hypoxic subpopulations [8]. Obviously the increased efficacy of incremental doses suffices to compensate the increase in radioresistance caused by the stronger inactivation of radiosensitive cell-cycle phases. Some potential mechanisms contributing to high-dose radiosensitivity will be discussed below.

Repair – dose dependence

While the induction of DSBs is proportional to dose, the repair system may conceivably become saturated at higher doses. Saturated repair has been suggested to explain the downward curvature of low-LET cell survival curves [28, 29]. Mammalian cells repair DSBs mainly by non-homologous end-joining (NHEJ) which is the primary DSB repair mechanism in all cell-cycle phases and rejoins double-stranded DNA ends without requirement for homology [30, 31]. A smaller fraction of DSBs is repaired by homologous recombination (HR) which is error free but requires a sister chromatid strand as template and thus is active only in late S and G2 [30, 32, 33]. Rejoining of ‘simple’ DSBs in euchromatin is performed by NHEJ with fast kinetics while DSBs in heterochromatin, and complex DSBs which failed to be repaired by NHEJ, are repaired by HR with slow kinetics [30, 34, 35].

Induction and repair of DSB can be monitored by antibodies against phosphorylated histone γH2AX which marks DSB sites and acts as scaffold for the DSB repair machinery. Induction of γH2AX foci occurs within minutes after irradiation and reaches its maximum at approximately 30 min (Additional file 1: Supplementary Material and Additional file 2: Figure S2A). This method can detect DSBs after doses in the range 0.001–2 Gy and showed similar yields of foci per Gy as for physical DSBs measured in the range 10–100 Gy in human fibroblasts [36]. However, a sub-linear increase in the number of γH2AX foci at doses higher than 2–3 Gy has been described for different cell lines [37, 38]. This did not appear to be caused by overlapping foci imposing an upper limit for detection of individual foci. First, cell types with different yields of foci per Gy showed similar sub-linearity even at dose levels where foci were not overlapping. [38, 39]. Second, the distribution of foci in individual cells was not skewed towards high numbers as expected if an upper limit is reached (Additional file 2: Figure S2B-E). Third, the deviation from linearity 240 min after irradiation was observed at approximately the same dose as at 30 min, in spite of a much lower mean number of foci after repair (Fig. 2a). Similar observations were made with MCF7 and HUVECs (Additional file 2: Figure S3A, B), and with human skin fibroblasts (Herskind et al., manuscript in preparation). Further evidence indicated that the fraction of remaining foci was lower at low dose and increased with dose, suggesting that the rate of foci decay is reduced at higher doses (Additional file 2: Figure S3C). This supports the hypothesis that a saturated repair process, rather than optical overlap of foci, is involved in the non-linear dose response.

Fig. 2
figure 2

Sublinear dose response for the mean number of γH2AX foci per cell (V79) at maximum induction and after 4 h repair (30 min and 240 min post-irradiation, respectively) (a). Reduced colony size of V79 cells irradiated 14.3 Gy but not 5.7 Gy (10 MeV electrons, 20 mm water-equivalent depth) (b)

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Most studies have found DSBs to be repaired with bi-exponential kinetics representing the fast and slow components, although a third, even faster component with halftime <5 min has been described [40, 41]. Physical methods for measuring DSBs have shown a high capacity for fast rejoining which starts immediately after irradiation and repairs more than 50% of the DSBs before induction of γH2AX foci reaches its maximum [42–45]. This might be explained if the foci are too small to be detected by immunofluorescence microscopy or are quickly resolved [40, 42, 46]. However, high-resolution studies using transmission electron microscopy (TEM) showed that NHEJ-mediated repair of DSBs (marked by pairs of Ku70 protein binding to the DNA double-strand ends) occurred with fast kinetics in euchromatin and was not associated with DNA repair foci in contrast with DSBs in heterochromatin which were associated with DNA repair foci and were repaired with slow kinetics [47, 48].

Further evidence showed that foci may combine with neighbouring foci at distances up to 1–2 μm indicating the formation of repair centres [49]. This may explain a previous observation that the linear range of the γH2AX dose response at low doses was extended to higher doses before the transition to sublinearity when the integrated fluorescence intensity was detected by flow cytometry compared with microscopic counting of foci numbers [38]. The decay of γH2AX foci after 30 min could be fitted by bi-exponential kinetics although the data were also compatible with a hyperbolic fit (Additional file 2: Figure S4). The decay of γH2AX foci usually occurs more slowly than physical DSB repair, which has been suggested to be related to limited phosphatase activity required for their resolution, and to foci in heterochromatin which are formed and resolved more slowly than in euchromatin [40, 42]. The observation from TEM studies that some foci remained at late times without evidence of DSBs suggested that they may mark epigenetic changes in chromatin structure [47]. Nevertheless, it also seems possible that repair centres processing several DSBs will persist until the last local DSB is repaired, and thus decay more slowly than expected from the repair of individual DSBs. The notion of repair centres would seem consistent with the observation of foci containing more than a single DSB in TEM studies [47, 48].

Formation of repair centres would contribute to reduce the number of foci (though not their integrated intensity) at 30 min. If availability of the DSB repair machinery is limited, this might conceivably impose a limit on the rate at which DSBs can be processed. Indeed, previous evidence suggested that HR is saturated at high doses with an increasing majority of DSBs being repaired by NHEJ [33]. An error-prone alternative end joining (alt-EJ) pathway has been proposed to act as a backup repair mechanism for NHEJ [50, 51]. In contrast with classical NHEJ, in which the Ku70/Ku80 heterodimer and DNA-PKcs stabilise the DSB ends which are then processed and finally ligated by LIG4/XRCC4, alt-EJ uses proteins otherwise involved in DNA metabolism. Thus PARP1 and WRN stabilise the free ends which are ligated by LIG3/XRCC1 or LIG1 after processing of the ends [50]. Cumulative evidence supports the view that this does not represent a distinct DSB repair pathway but rather a means of removing free DNA ends left unrepaired by NHEJ and HR [50]. Furthermore, alt-EJ is associated with increased chromosome translocations which are normally suppressed by NHEJ [51–53]. Thus, in the present context, we propose that saturation of HR and overloading of the NHEJ pathway result in increased use of the alt-EJ pathway and increased chromosomal instability at higher doses. The small size of colonies formed after 14.3 Gy but not 5.7 Gy may indicate genetic instability of surviving cells after high doses (Fig. 2b). A model of changing DSB repair pathway usage at high single doses is summarised in Fig. 3.

Fig. 3
figure 3

Proposed schematic model of increasing use of alternative end joining (alt-EJ) leading to increased chromosomal instability at higher doses. HR: homologous recombination. NHEJ: non-homologous end joining. Modified after Shibata and Jeggo [30]

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Repair – protracted irradiation and fractionation

Recovery of cells between fractions is an important factor in fractionated RT. When irradiation of cells is split into two doses, e.g., a fixed dose D1 and a variable dose D2 separated by a time interval, T, the surviving fraction (SF) will be higher than when given as a single dose, D1 + D2. If the time interval is increased to allow complete repair, the shape of the survival curve for the second irradiation will approach that of the single-dose survival curve starting at a lower survival level, SF(D1). Frequently, such split-dose recovery is ascribed to repair of socalled ‘sublethal damage’ (SLD) [8]. Continuous irradiation with constant dose rate may be viewed as multiple small fractions given at short intervals thus providing the basis for the reduced biological effect of protracted irradiation. The biological effect of incomplete recovery between fractions or continuous low dose-rate irradiation can be calculated using mathematical models assuming monoexponential SLD repair [26, 54, 55]. In order to account for a decreasing rate of SLD repair, reciprocal recovery kinetics has been proposed, which has the advantage that just two free parameters need to be fitted compared with four parameters of a bi-exponential model [56, 57], thus providing a more robust fit requiring fewer data points.

Although DSB repair by HR or NHEJ has been implicated in SLD repair [58–61], the relative importance of the two mechanisms, and their relation to the biophysical models, is not clear. For normal tissue, recovery kinetics derived from fractionation studies show halftimes of approximately one hour or longer [62]. However, early normal-tissue reaction in experimental systems yielded shorter halftimes of 0.3–0.8 h [63], and some clinical and experimental studies on early and late reaction showed biphasic recovery with halftimes of 7–20 min and 1.2–6.6 h for the fast and slow components, respectively [64–67]. For tumour cells, most evidence suggests a single-component halftime of the order of one hour [62]. However, other studies have found shorter recovery halftimes in the range 5–50 min [68] or 23 min with some evidence of bi-exponential recovery with halftimes of 18 and 96 min [69].

For IORT given as protracted irradiation with Intrabeam, the L-Q model predicts that SLD repair should reduce the biological effect of higher doses [9, 70]. Since protracted IORT with Intrabeam typically requires 20–50 min, only recovery within this post-irradiation time frame is relevant. Split-dose experiment with V79 hamster and MCF7 human breast cancer cells yielded halftimes of 15 min and 39 min, respectively (Additional file 1: Supplementary Material and Additional file 2: Figure S5). For V79 cells, a slower rate of repair was indicated after 1–2 halftimes. Previous modelling calculations of the biological effect of SLD repair for protracted irradiation with Intrabeam used the L-Q formalism and assumed halftimes of 15 min as a conservative limit for fast repair [25, 69–71]. The present values together with the evidence from literature supports the use of this conservative value and suggests that the effect of recovery may be smaller if halftimes are longer, although recovery halftimes are short enough relative to the irradiation times for IORT that they should be taken into account.

The L-Q formalism is used to model effects of changes in fractionation and dose rate. The underlying α/β parameter describes the downward curvature of single-cell survival curve and the sensitivity to changes in fraction size [63]. However, it should be noted that α/β for fractionation is determined from fractionation studies with full recovery between daily fractions, and not from cell survival curves. For local control after breast RT, the most recent estimate is α/β = 4 Gy (c.i. 0.0–8.9 Gy) at median 9.3 years follow-up with some evidence that it may even be slightly lower [72]. This is comparable with α/β for late normal-tissue (NT) reaction (shown in Table 1) leading to the conclusion that the therapeutic window between tumour control and adverse effects depends less on fraction size than previously assumed [73, 74].

Table 1 α/β ratios for different normal-tissue end points
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Reoxygenation

Oxygen is a radiosensitizer of cells owing to its ability to fix DNA damage which may otherwise be chemically repaired by intracellular antioxidants under hypoxia [8]. Thus the cellular radiosensitivity is reduced under hypoxia. Some tumors contain chronically or acutely hypoxic subpopulations requiring 2- to 3-fold higher doses for inactivation [8]. Reoxygenation of acutely hypoxic cells between daily fractions is an important aspect of fractionated radiotherapy. In tumour-bed IORT, the bulk tumour has been removed by surgery and thus only microscopic clusters of tumour cells should be present in the healthy tumour bed. Under most conditions, it seems reasonable to assume that these cells will have an adequate supply of oxygen. However, care should be taken not to compress the tumour bed too strongly during IORT with LEX or otherwise compromise the blood supply to an extent that might induce hypoxia in the tumour-bed tissue.

Repopulation

An important aspect of IORT is that irradiation takes place immediately after tumour excision thus avoiding repopulation of remaining tumour cells during the time between surgery and conventional external beam radiotherapy. Although EBRT should begin as soon as possible, a five-week period for wound healing is required before starting EBRT in order to avoid excessive normal-tissue reaction [75]. A systematic review showed that delaying EBRT for more than 8 weeks in breast cancer, and more than 6 weeks in head and neck cancer, resulted in increased recurrence rates, emphasizing the importance of repopulation after surgery in these tumours [76, 77]. Furthermore, in the START B fractionation trial, recurrence rates were reduced (though not significantly) when hypofractionated EBRT (15 × 2.67 Gy) was given over three weeks compared with five weeks in in the conventional arm (25 × 2.0 Gy, EQD2 = 50 Gy where EQD2 is the equivalent dose given in 2 Gy fractions) [72]. This observation was in spite of the equivalent total dose, EQD2, being lower in the accelerated, hypofractionated arm: EQD2 = 44.5 Gy if given in 2 Gy fractions (assuming α/β = 4 Gy). The efficacy of the shorter overall treatment time strongly suggests that repopulation between fractions plays an important role and could be equivalent to a daily dose of 5.5 Gy/14d = 0.4 Gy per dayFootnote 1. The increased recurrence rate observed for the post-pathology stratum in the TARGIT trials for patients treated some weeks after surgery compared with patients irradiated during the surgical session [78] may be explained by repopulation. Thus a major advantage of IORT for fast proliferating tumours seems to be the elimination of repopulation by the extreme shortening of the overall treatment time. Since conventionally fractionated EBRT cannot be completed earlier than ten weeks after surgery (five weeks delay after surgery plus five weeks of treatment), the associated benefit might potentially be equivalent to a dose of the order of 28 Gy (70d × 0.4 Gy/d). This might even be a conservative estimate as it assumes the same rate of repopulation during the delay as during RT, and does not include additional time for a tumour boost given after whole-breast RT. Further studies of the influence of overall treatment time in fractionated radiotherapy should be performed to validate this hypothesis and provide more accurate estimates of the dose equivalent of repopulation in different tumours.

Radiosensitivity

The risk of recurrence after RT depends primarily on the number of surviving tumour cells capable of regrowing the tumour. According to the cancer stem cell hypothesis, only a subpopulation of tumour cells have unlimited capacity for proliferation and it is generally considered that these cells are more resistant to radiation [79]. Cellular radiosensitivity is determined by the colony formation assay (CFA) which scores the ability of cells to produce clones with at least 50 cells corresponding to > 5–6 cell doublings. Although the CFA is the gold standard for determining radiosensitivity in vitro, detection of SF values <10−3 is notoriously difficult and ultimately is limited by the number of cells which can reasonably be seeded in the assay. In most cases the conditions of the assay will not be constant, either because increasing numbers of cells per flask or dish are seeded to keep the number of colonies constant with increasing dose, or because more cells are produced during incubation of unirradiated compared with irradiated cultures, in the case where constant numbers are seeded and the number of colonies decreases with increasing dose.

Although it is usually assumed that surviving colony-forming cells are identical to unirradiated cells, this may not be true in genetically instable tumour cells irradiated with high doses. As argued above, high doses of radiation may induce increased genetic instability, and certainly the colonies scored at high doses are morphologically different from those formed in unirradiated cultures. Thus genetic instability may influence not only the number but also the properties of surviving cells. Furthermore, the shape of the survival curve at high doses may be influenced by the number of cells seeded in the CFA, suggesting that non-targeted cohort effects play a role in cell inactivation by high doses [80].

Extrapolation of SF data to high doses used in IORT or stereotactic radiosurgery has been a matter of debate. It has been argued that cell survival curves have a linear slope at high doses and various modifications of the L-Q model, or alternative models, have been proposed to account for this [81–85]. On the other hand, there is evidence that the L-Q model fits quite well up to doses of approximately 15 Gy [86] and, despite trends in goodness of fit to the experimental data, a significant difference between fitting the L-Q model and alternative models has not been demonstrated [87–90]. In fact the values of fit parameters are at least as important as the choice of model for extrapolation [87, 91]. As argued above, various experimental and environmental factors may influence survival after high doses. Thus while tumour cell transplantation and in-vivo tumour-cell survival experiments reportedly produce linear survival slopes at high doses [92], actual survival levels in an IORT setting can only be estimated. A pragmatic approach, therefore, is to use the least complicated model with the lowest number of free parameters (e.g., the L-Q model) as a first approximation and closely monitor patients with an aim of establishing dose-response relationships from clinical data. It should also be noted that for non-uniform dose distributions such as the isotropic X-ray field from Intrabeam with its steep gradient, a 10% variation in dose only displaces the isodose curves by approximately 1 mm [13, 70].

Other biological effects

In addition to clonogenic inactivation of tumour cells, RT excerts effects on the stroma, vasculature, and the immune system, that might influence the response of residual tumour cells. Radiation induces expression of inflammatory cytokines via NF-κB [93, 94], and cytokines in wound fluid collected from breast cancer patients treated with IORT were implicated in biological effects on migration and invasion of cancer cells [95] though it is unclear if proliferation was inhibited [96]. Furthermore, irradiation of endothelial cells can induce platelet adhesion and thrombus formation in the microvasculature [97, 98]. An overview of experimental studies on radiation-induced vascular damage was published recently [99].

A series of papers have implicated the second messenger ceramide in radiation-induced apoptosis of microvascular endothelial cells. Ceramide may be released from the membrane lipid sphingomyelin by the enzyme acid sphingo-myelinase (ASMase), and activation of ceramide synthase (CS) can lead to de novo synthesis of ceramide [100, 101]. ASMase-dependent apoptosis of ASMase - rich microvascular endothelial cells was proposed to constitute the primary target for radiation-induced intestinal damage after doses larger than 13–15 Gy while activated CS contributed to apoptosis at doses above 18–20 Gy [102, 103]. The protective effect of an anti-ceramide antibody strongly supported the proposed role of ceramide-induced endothelial damage in the radiation gastrointestinal syndrome [104]. Furthermore, endothelial apoptosis of the tumour vasculature was suggested to play an important role in radiation-induced tumour control after single doses of 15 Gy and more [105, 106]. Thus DNA damage-mediated inactivation of clonogenic normal or tumour stem cells (dominant at lower doses) and endothelial apoptosis (at higher doses) was proposed to constitute a two-target model for normal tissue damage and tumour inactivation after high doses per fraction [102, 103, 106, 107]. However, these findings have been disputed and remain controversial as they have not been reproduced in other laboratories [87, 108–110].

Radiation is an efficient modulator of the immune response and thus may have systemic effects that eventually help eliminate residual tumour cells. Higher radiation doses (>5 Gy) result in increased tumour cell necrosis and antigen presentation, and recruitment of T-cells to irradiated and possibly distant unirradiated tumours (for reviews see [9, 87]). In the setting of tumour-bed IORT, most patients will have no residual tumour cells while in a minority of patients the number of residual tumour cells will vary between very few and perhaps up to some 105 cells in microscopic foci. Whether low numbers of tumour cells suffice to elicit an antitumour response, and whether a single high dose is more efficient than fractionated RT, is not known and will require more studies. Thus, in spite of a growing awareness of the importance of radiation in stimulating the immune system, it is not clear if it contributes to the efficacy of high single doses.

Irradiated volume, local control and normal-tissue reaction

An important aspect of IORT, and more generally of accelerated partial breast irradiation (APBI), is the smaller volume exposed to high doses compared with whole-breast EBRT. The dose distribution varies between the different modalities for delivering IORT. Thus tumour-bed irradiation with LEX using spherical applicators to fit the cavity left by the excised tumour yields a non-uniform, isotropic dose distribution determined by a combination of the distance-squared relationship and beam attenuation. IORT with electrons (IOERT) delivers high-energy electrons in a parallel beam with a characteristic depth dose profile and range that depends on the chosen beam energy. A comparison of dose distributions from LEX, MeV electrons, and other IORT/APBI techniques, was published by Nairz et al. [111]. Conformality to the tumour bed may be an issue with both IORT techniques. For LEX, conformality depends on the fit of the tumour cavity to the spherical applicator, while the choice of applicator size and the incident angle is critical for covering the target volume treated by IOERT [111]. To treat other targets than the tumour bed around a spherical cavity with LEX, new Intrabeam applicators have been developed to irradiate intracavitary cylindrical targets and targets with flat geometries [112–115].

For the non-uniform dose distribution of isotropic LEX, radiobiological modelling of local control for tumour-bed IORT of the breast suggested that inactivation of recurrence-forming foci close to the applicator surface was more efficient than for external-beam radiotherapy (EBRT) with a uniform dose to the whole breast. The increased inactivation partly compensated the reduced inactivation at larger depth in the tumour bed thus defining a ‘Sphere of Equivalence’ within which the recurrence rate would be the same as for EBRT [71]. Nevertheless, the legitimate question arises whether doses applied by LEX are sufficient to control residual tumour cells at larger depth in the tumour bed where the physical dose is reduced to approximately 6–7 Gy in 1 cm depth and 2–3 Gy in 2 cm depth depending on the applicator size. By comparison, the dose distribution for IOERT is rather uniform up to the penetration depth determined by the beam energy and within the area covered by the applicator size outside which the dose decreases to virtually zero. However, after excision of the primary tumour the majority of patients develop no recurrences and the number of residual recurrence-forming tumour cells in patients who go on to develop local recurrence is likely to show wide variation ranging down to just a few cells. This implies that even low to moderate doses of radiation may contribute to local control as long as the tumour is excised with sufficient free margin leaving no solid tumour mass [9, 116].

The rationale of IORT for early breast cancer is based on studies showing that most ipsilateral recurrences occur close to the site of the primary tumour and that more distant recurrences may be considered new primary tumours with a more favourable prognosis [117–119]. Thus clinical studies testing the equivalence of IORT as sole treatment with conventional EBRT should be judged not only based on their dose distributions but should be considered a test of a hypothesis involving several elements: 1) local distribution of recurrence-forming residual tumour cells; 2) dose distribution; 3) single-dose versus fractionated irradiation; 4) total time between surgery and completion of RT; 5) patient selection. Comparing the TARGIT trial using non-uniform LEX and the ELIOT trial using IOERT, the former was a risk-adapted approach where low-risk patients were selected based on established risk factors and postoperative EBRT was added to the treatment based on the pathological findings. This constrasts with ELIOT in which unselected patients received IOERT with a nearly uniform dose distribution. Conformality of the cavity to the spherical applicator is important for dose coverage of the tumour bed in the TARGIT trial. In ELIOT, the choice of applicator size is critical for covering the target volume [120–123].

Both randomized trials were within the pre-defined non-inferiority margins for ipsilateral recurrence [78, 123]. However, increased recurrences were observed in the post-pathology IORT stratum of the TARGIT trial [78] suggesting that it is essential to perform IORT immediately after surgery and not delayed in a second surgical session. In ELIOT, recurrences in the IOERT arm were associated with unfavourable characteristics (tumour size ≥2 cm; ≥ 4 positive lymph nodes, grade 3 differentiation, estrogen receptor-negative and triple-negative tumours), suggesting that improved patient selection might reduce the recurrence rate after IOERT [123]. While differences in selection criteria, treatment strategies, and median follow up, hamper a direct comparison between the two IORT modalities, a critical analysis of the outcomes has been published [121, 122]. Excluding the unfavourable subgroups (pre-pathology treated patients in TARGIT, patients with unfavourable characteristics in ELIOT) yielded 2.1% local recurrence in TARGIT and 1.5% in ELIOT [78, 123]. Thus at present, there is no evidence to suggest that differences in the dose distributions affect the outcome.

IORT is frequently used as an intraoperative boost combined with conventional EBRT for breast conserving therapy. For IORT with non-uniform LEX, the full dose of IORT is applied while the total dose of EBRT is usually reduced slightly from 50 Gy to 46 Gy. For IOERT with uniform dose distribution, the IOERT dose is reduced to 8–10 Gy followed by standard EBRT (although in the ELIOT trial EBRT was given after full-dose IOERT in patients with ≥4 positive lymph nodes [123]). For both modalities, very high local control rates have been reported in non-randomised series [124–127] suggesting a clinical benefit of eliminating time for repopulation (‘temporal miss’) and reducing geographic miss. However, conclusions regarding potential superiority of an IORT boost over a conventional postoperative boost must await long-term follow-up of randomized trials [4].

The dose of RT that can be applied to inactivate residual tumour cells is limited by toxicity in the irradiated normal tissue. With Intrabeam, skin toxicity is avoided by keeping a distance >5 mm between the skin and the applicator surface [75]. Radiobiological modelling of late reaction suggested that pneumonitis is limited to distances ≤8–12 mm from the applicator surface so that the thickness of the thorax wall should be sufficient to shield the lung from the irradiation [70]. The risk of fibrosis in the subcutaneous tissue was estimated to be limited to 3–6 mm from the applicator surface [70, 128]. These estimates are likely to be further reduced by the volume effect of late-reacting normal tissues. Thus the tissue tolerance is increased when the volume exposed to critical doses is reduced [129, 130] although recent evidence suggests that the effect may be weak for breast fibrosis [131]. Pneumonitis has not been reported for the TARGIT trial but the ELIOT trial found less lung toxicity in the IOERT compared with the EBRT arm and similar rates of breast fibrosis in the two arms [123]. Overall, the rate of fibrosis after risk-adapted IORT with Intrabeam was similar to that after EBRT but subanalysis showed that it was associated with higher rates after IORT as a boost in combination with postoperative EBRT and lower rates after IORT alone [132]. Thus only 5.9% of patients treated with IORT alone developed clinical fibrosis of the breast at 36 months [132] consistent with the estimates from radiobiological modelling discussed above. The most frequent wound-related complications after IORT with Intrabeam are hematomas and seromas but the rate is not higher than after EBRT [78, 133].

For IORT given as a boost, previous work from our department showed that the risk of late reaction after EBRT is increased if the interval between surgery/IORT and EBRT is shorter than five weeks [75]. For IORT boost with LEX, moderate to severe fibrosis at 36 months follow-up was observed in 43 and 31% of the patients treated with an intervals shorter and longer than 5-week, respectively [132]. The latter value may be compared with rates of approximately 20% at 3 years, rising to 28.1% at 10 years and 30.4% at 20 years, in the EORTC boost trial [134–136] and with approximately 25% at 5 years for a boost in the 25 × 2 Gy control arm of the START pilot trial [131]. Although the fibrosis rates after an IORT boost appears somewhat increased relative to a standard fractionated EBRT boost of 16 Gy, it compares favourably with the higher rates of 40–55% observed after a boost dose of 26 Gy in the EORTC boost trial [136]. However, a direct comparison of an intraoperative versus conventional postoperative boost will only be possible after long-term follow-up of the ongoing randomised TARGIT B trial.

A potential concern for high single-dose irradiation is the risk of tissue necrosis and rib fracture. Fat necrosis after IORT for breast cancer is found by diagnostic imaging although it is usually non-symptomatic [137, 138]. Rib fracture has been described after IOERT but is avoided by introducing lead shielding of the ribs [139]. Brain necrosis can occur after high local doses, dependent on the irradiated volume [140, 141], and should be considered when applying IORT to the brain [142]. In studies with typical target volumes in stereotactic radiosurgery, the risk has been shown to be predicted by the volume receiving a dose ≥ 12 Gy (V12Gy) although, for larger target volumes, V10Gy may be a better predictor [143–145]. Because of the strong increase in symptomatic radionecrosis with increasing volume, it was suggested that patients with V10Gy > 10.5 cm3 or V12Gy > 8 cm3 be considered for hypofractionated rather than single-dose treatment [143].

Conclusions

A schematic overview over the different biological aspects of IORT with high single doses is shown in Fig. 4. IORT is usually performed with different radiation qualities than high-energy X-rays used in conventional, fractionated RT. The increased RBE should be taken into account for LEX. Although the L-Q model predicts that RBE should decrease as the dose per fraction increases [20], evidence suggests that this may not be true for low-LET radiations. Conversely, this also implies that a slightly reduced RBE of high-energy electrons cannot be excluded even at high doses although this may be cell-type dependent. However, in clinical practice, RBE = 1 relative to high-energy X-rays is usually assumed for fractionated RT with electrons and more studies would be required to determine if a lower value should be applied for IOERT with single doses in the range of 10–20 Gy. A number of factors may contribute to making single-dose IORT biologically feasible in spite of being a departure from the established fractionated schemes based on the five R’s of radiotherapy. Published and presented evidence supports a hypothesis that saturation of the repair system leads to increasing genomic instability that may contribute to inactivate tumour cells as the dose per fraction is increased beyond the dose range normally studied in vitro. Furthermore, IORT performed during surgery eliminates repopulation of residual tumour cells in the tumour bed during the time for wound healing before starting and possibly during conventionally fractionated EBRT. Thus some patients are likely to have very few residual tumour cells which may be cured even by moderate doses to the tumour bed. In addition, the high dose close to the applicator surface of LEX is predicted to be more efficient than the uniform dose from an external beam, thus partly compensating the lower doses at larger depth in the tumour bed. Together with increased tolerance of the normal tissue to high local doses owing to the volume effect, the combination of these factors work in favour of making IORT more efficient than expected from clinical experience with EBRT. Whether special effects of high single doses also contribute to the efficacy will require further experimental and clinical studies.

Fig. 4
figure 4

Schematic overview of biological effects contributing to the efficacy of IORT with high single doses. RBE: relative biologic effectiveness; S.o.E.: Sphere of Equivalence; NT: normal tissue

Full size image

Notes

  1. After acceptance of the present manuscript, an analysis of the effect of overall treatment time has been published by the START Trial Management Group [150]. Based on the combined cohorts of all three START trials (START pilot, START A, and START B), the effect of overall treatment time on loco-regional control was estimated at 0.60 Gy/day. Although independent validation of this observation is needed, the time effect is higher than the rough estimate made here suggesting that the potential benefit of IORT in eliminating the repopulation associated with fractionated WBRT might be even larger than 28 Gy.

Abbreviations

alt-EJ:

Alternative end joining

ASMase:

Acid sphingomyelinase

CFA:

Colony formation assay

CS:

Ceramide synthase

DNA-PKcs:

DNA protein kinase, catalytic subunit

DSB:

Double-strand break

EBRT:

External beam radiotherapy

ELIOT:

Electron intra-operative radiotherapy trial

EQD2:

Equivalent dose given in 2 Gy fractions

H2AX:

Histone H2AX

HR:

Homologous recombination

HUVEC:

Human umbilical vein endothelial cells

IOERT:

Intraoperative electron radiotherapy

IORT:

Intraoperative radiotherapy

LET:

Linear energy transfer

LEX:

Low-energy X-rays

LIG1:

Ligase 1

LIG3:

Ligase 3

LIG4:

Ligase 4

L-Q:

Linear-quadratic

NF-κB:

Nuclear factor kappa B

NHEJ:

Non-homologous end joining

PARP1:

Poly(ADP-ribose)-Polymerase 1

RBE:

Relative biologic effectiveness

RT:

Radiotherapy

SF:

Surviving fraction

SLD:

Sub-lethal damage

START:

UK standardisation of radiotherapy trial

TARGIT:

Targeted intraoperative radiotherapy trial

TEM:

Transmission electron microscopy

WRN:

Werner syndrome ATP-dependent helicase

XRCC1:

X-ray repair cross complementing 1

XRCC4:

X-ray repair cross complementing 4

References

  1. Calvo FA, Sole CV, Gonzalez ME, Tangco ED, Lopez-Tarjuelo J, Koubychine I, et al. Research opportunities in intraoperative radiation therapy: the next decade 2013–2023. Clin Transl Oncol. 2013;15(9):683–90.

    Article  CAS  PubMed  Google Scholar 

  2. Debenham BJ, Hu KS, Harrison LB. Present status and future directions of intraoperative radiotherapy. Lancet Oncol. 2013;14(11):e457–64.

    Article  PubMed  Google Scholar 

  3. Maluta S, Dall’Oglio S, Goer DA, Marciai N. Intraoperative Electron Radiotherapy (IOERT) as an Alternative to Standard Whole Breast Irradiation: Only for Low-Risk Subgroups? Breast Care. 2014;9(2):102–6.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wenz F, Sedlmayer F, Herskind C, Welzel G, Sperk E, Neumaier C, et al. Accelerated Partial Breast Irradiation in Clinical Practice. Breast Care. 2015;10(4):247–52.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Withers HR. The four R’s of radiotherapy. In: Lett JT, Adler H, editors. Advances in Radiation Biology, Vol. 5. New York: Academic Press; 1975. p. 241–71.

  6. Steel GG, McMillan TJ, Peacock JH. The 5Rs of radiobiology. Int J Radiat Biol. 1989;56(6):1045–8.

    Article  CAS  PubMed  Google Scholar 

  7. Kalakota K, Small Jr W. Intraoperative radiation therapy techniques and options for breast cancer. Expert Rev Med Devices. 2014;11(3):265–73.

    Article  CAS  PubMed  Google Scholar 

  8. Hall EJ, Giaccia AJ. Radiobiology for the Radiologist. 7th ed. Philadelphia: Lippincott Williams & Wilkins; 2012.

  9. Herskind C, Wenz F. Radiobiological aspects of intraoperative tumour-bed irradiation with low-energy X-rays (LEX-IORT). Transl Cancer Res. 2014;3(1):3–17.

    CAS  Google Scholar 

  10. Kellerer AM. Electron spectra and the RBE of X rays. Radiat Res. 2002;158(1):13–22.

    Article  CAS  PubMed  Google Scholar 

  11. Goodhead DT, Thacker J, Cox R. Weiss Lecture. Effects of radiations of different qualities on cells: molecular mechanisms of damage and repair. Int J Radiat Biol. 1993;63(5):543–56.

    Article  CAS  PubMed  Google Scholar 

  12. Nikjoo H, Lindborg L. RBE of low energy electrons and photons. Phys Med Biol. 2010;55(10):R65–109.

    Article  CAS  PubMed  Google Scholar 

  13. Liu Q, Schneider F, Ma L, Wenz F, Herskind C. Relative Biologic Effectiveness (RBE) of 50 kV X-rays Measured in a Phantom for Intraoperative Tumor-Bed Irradiation. Int J Radiat Oncol Biol Phys. 2013;85(4):1127–33.

    Article  PubMed  Google Scholar 

  14. Bistrovic M, Biscan M, Viculin T. RBE of 20 kV and 70 kV X-rays determined for survival of V 79 cells. Radiother Oncol. 1986;7(2):175–80.

    Article  CAS  PubMed  Google Scholar 

  15. Hoshi M, Antoku S, Nakamura N, Russell WJ, Miller RC, Sawada S, et al. Soft X-ray dosimetry and RBE for survival of Chinese hamster V79 cells. Int J Radiat Biol. 1988;54(4):577–91.

    Article  CAS  PubMed  Google Scholar 

  16. Raju MR, Carpenter SG, Chmielewski JJ, Schillaci ME, Wilder ME, Freyer JP, et al. Radiobiology of ultrasoft X rays. I. Cultured hamster cells (V79). Radiat Res. 1987;110(3):396–412.

    Article  CAS  PubMed  Google Scholar 

  17. Spadinger I, Palcic B. The relative biological effectiveness of 60Co gamma-rays, 55 kVp X- rays, 250 kVp X-rays, and 11 MeV electrons at low doses. Int J Radiat Biol. 1992;61(3):345–53.

    Article  CAS  PubMed  Google Scholar 

  18. Astor MB, Hilaris BS, Gruerio A, Varricchione T, Smith D. Preclinical studies with the photon radiosurgery system (PRS). Int J Radiat Oncol Biol Phys. 2000;47(3):809–13.

    Article  CAS  PubMed  Google Scholar 

  19. Denekamp J, Waites T, Fowler JF. Predicting realistic RBE values for clinically relevant radiotherapy schedules. Int J Radiat Biol. 1997;71(6):681–94.

    Article  CAS  PubMed  Google Scholar 

  20. Joiner MC. Linear energy transfer and relative biological effectiveness. In: Joiner M, Van der Kogel A, editors. Basic Clinical Radiobiology. 4th ed. London: Hodder Arnold; 2009. p. 68–77.

    Chapter  Google Scholar 

  21. Shridhar R, Estabrook W, Yudelev M, Rakowski J, Burmeister J, Wilson GD, et al. Characteristic 8 keV X rays possess radiobiological properties of higher-LET radiation. Radiat Res. 2010;173(3):290–7.

    Article  CAS  PubMed  Google Scholar 

  22. Fayard B, Touati A, Abel F, Herve du Penhoat MA, Despiney-Bailly I, Gobert F, et al. Cell inactivation and double-strand breaks: the role of core ionizations, as probed by ultrasoft X rays. Radiat Res. 2002;157(2):128–40.

    Article  CAS  PubMed  Google Scholar 

  23. Sasaki MS, Kobayashi K, Hieda K, Yamada T, Ejima Y, Maezawa H, et al. Induction of chromosome aberrations in human lymphocytes by monochromatic X-rays of quantum energy between 4.8 and 14.6 keV. Int J Radiat Biol. 1989;56(6):975–88.

    Article  CAS  PubMed  Google Scholar 

  24. Yokoya A, Cunniffe SM, Watanabe R, Kobayashi K, O’Neill P. Induction of DNA strand breaks, base lesions and clustered damage sites in hydrated plasmid DNA films by ultrasoft X rays around the phosphorus K edge. Radiat Res. 2009;172(3):296–305.

    Article  CAS  PubMed  Google Scholar 

  25. Brenner DJ, Leu CS, Beatty JF, Shefer RE. Clinical relative biological effectiveness of low-energy x-rays emitted by miniature x-ray devices. Phys Med Biol. 1999;44(2):323–33.

    Article  CAS  PubMed  Google Scholar 

  26. Curtis SB. Lethal and potentially lethal lesions induced by radiation--a unified repair model. Radiat Res. 1986;106(2):252–70.

    Article  CAS  PubMed  Google Scholar 

  27. Wilson GD. Cell kinetics. Clin Oncol. 2007;19(6):370–84.

    Article  CAS  Google Scholar 

  28. Goodhead DT. Saturable repair models of radiation action in mammalian cells. Radiat Res Suppl. 1985;8:S58–67.

    Article  CAS  PubMed  Google Scholar 

  29. Joiner MC. Quantifying cell kill and cell survival. In: Joiner M, Van der Kogel A, editors. Basic Clinical Radiobiology. 4th ed. London: Hodder Arnold; 2009. p. 41–55.

    Chapter  Google Scholar 

  30. Shibata A, Conrad S, Birraux J, Geuting V, Barton O, Ismail A, et al. Factors determining DNA double-strand break repair pathway choice in G2 phase. EMBO J. 2011;30(6):1079–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Shibata A, Jeggo PA. DNA double-strand break repair in a cellular context. Clin Oncol. 2014;26(5):243–9.

    Article  CAS  Google Scholar 

  32. Mladenov E, Magin S, Soni A, Iliakis G. DNA double-strand break repair as determinant of cellular radiosensitivity to killing and target in radiation therapy. Front Oncol. 2013;3:113.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Rothkamm K, Kruger I, Thompson LH, Lobrich M. Pathways of DNA double-strand break repair during the mammalian cell cycle. Mol Cell Biol. 2003;23(16):5706–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Geuting V, Reul C, Lobrich M. ATM release at resected double-strand breaks provides heterochromatin reconstitution to facilitate homologous recombination. PLoS Genet. 2013;9(8):e1003667.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Jeggo PA, Geuting V, Lobrich M. The role of homologous recombination in radiation-induced double-strand break repair. Radiother Oncol. 2011;101(1):7–12.

    Article  CAS  PubMed  Google Scholar 

  36. Rothkamm K, Lobrich M. Evidence for a lack of DNA double-strand break repair in human cells exposed to very low x-ray doses. Proc Natl Acad Sci U S A. 2003;100(9):5057–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Costes SV, Boissiere A, Ravani S, Romano R, Parvin B, Barcellos-Hoff MH. Imaging features that discriminate between foci induced by high- and low-LET radiation in human fibroblasts. Radiat Res. 2006;165(5):505–15.

    Article  CAS  PubMed  Google Scholar 

  38. MacPhail SH, Banath JP, Yu TY, Chu EH, Lambur H, Olive PL. Expression of phosphorylated histone H2AX in cultured cell lines following exposure to X-rays. Int J Radiat Biol. 2003;79(5):351–8.

    Article  CAS  PubMed  Google Scholar 

  39. Wilson PF, Nham PB, Urbin SS, Hinz JM, Jones IM, Thompson LH. Inter-individual variation in DNA double-strand break repair in human fibroblasts before and after exposure to low doses of ionizing radiation. Mutat Res. 2010;683(1–2):91–7.

    Article  CAS  PubMed  Google Scholar 

  40. Costes SV, Chiolo I, Pluth JM, Barcellos-Hoff MH, Jakob B. Spatiotemporal characterization of ionizing radiation induced DNA damage foci and their relation to chromatin organization. Mutat Res. 2010;704(1–3):78–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Iliakis G, Wang H, Perrault AR, Boecker W, Rosidi B, Windhofer F, et al. Mechanisms of DNA double strand break repair and chromosome aberration formation. Cytogenet Genome Res. 2004;104(1–4):14–20.

    Article  CAS  PubMed  Google Scholar 

  42. Kinner A, Wu W, Staudt C, Iliakis G. Gamma-H2AX in recognition and signaling of DNA double-strand breaks in the context of chromatin. Nucleic Acids Res. 2008;36(17):5678–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Lobrich M, Shibata A, Beucher A, Fisher A, Ensminger M, Goodarzi AA, et al. gammaH2AX foci analysis for monitoring DNA double-strand break repair: strengths, limitations and optimization. Cell Cycle. 2010;9(4):662–9.

    Article  PubMed  Google Scholar 

  44. Stenerlow B, Karlsson KH, Cooper B, Rydberg B. Measurement of prompt DNA double-strand breaks in mammalian cells without including heat-labile sites: results for cells deficient in nonhomologous end joining. Radiat Res. 2003;159(4):502–10.

    Article  CAS  PubMed  Google Scholar 

  45. Wang H, Zeng ZC, Bui TA, Sonoda E, Takata M, Takeda S, et al. Efficient rejoining of radiation-induced DNA double-strand breaks in vertebrate cells deficient in genes of the RAD52 epistasis group. Oncogene. 2001;20(18):2212–24.

    Article  CAS  PubMed  Google Scholar 

  46. Barnard S, Bouffler S, Rothkamm K. The shape of the radiation dose response for DNA double-strand break induction and repair. Genome Integr. 2013;4(1):1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Lorat Y, Schanz S, Schuler N, Wennemuth G, Rube C, Rube CE. Beyond repair foci: DNA double-strand break repair in euchromatic and heterochromatic compartments analyzed by transmission electron microscopy. PLoS One. 2012;7(5):e38165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Rube CE, Lorat Y, Schuler N, Schanz S, Wennemuth G, Rube C. DNA repair in the context of chromatin: new molecular insights by the nanoscale detection of DNA repair complexes using transmission electron microscopy. DNA Repair (Amst). 2011;10(4):427–37.

    Article  CAS  Google Scholar 

  49. Neumaier T, Swenson J, Pham C, Polyzos A, Lo AT, Yang P, et al. Evidence for formation of DNA repair centers and dose-response nonlinearity in human cells. Proc Natl Acad Sci U S A. 2012;109(2):443–8.

    Article  PubMed  Google Scholar 

  50. Iliakis G, Murmann T, Soni A. Alternative end-joining repair pathways are the ultimate backup for abrogated classical non-homologous end-joining and homologous recombination repair: Implications for the formation of chromosome translocations. Mutat Res Genet Toxicol Environ Mutagen. 2015;793:166–75.

    Article  CAS  PubMed  Google Scholar 

  51. Soni A, Siemann M, Grabos M, Murmann T, Pantelias GE, Iliakis G. Requirement for Parp-1 and DNA ligases 1 or 3 but not of Xrcc1 in chromosomal translocation formation by backup end joining. Nucleic Acids Res. 2014;42(10):6380–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Simsek D, Jasin M. Alternative end-joining is suppressed by the canonical NHEJ component Xrcc4-ligase IV during chromosomal translocation formation. Nat Struct Mol Biol. 2010;17(4):410–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Weinstock DM, Brunet E, Jasin M. Formation of NHEJ-derived reciprocal chromosomal translocations does not require Ku70. Nat Cell Biol. 2007;9(8):978–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Brenner DJ, Hlatky LR, Hahnfeldt PJ, Huang Y, Sachs RK. The linear-quadratic model and most other common radiobiological models result in similar predictions of time-dose relationships. Radiat Res. 1998;150(1):83–91.

    Article  CAS  PubMed  Google Scholar 

  55. Thames HD. An ‘incomplete-repair’ model for survival after fractionated and continuous irradiations. Int J Radiat Biol Relat Stud Phys Chem Med. 1985;47(3):319–39.

    Article  CAS  PubMed  Google Scholar 

  56. Dale RG, Fowler JF, Jones B. A new incomplete-repair model based on a ‘reciprocal-time’ pattern of sublethal damage repair. Acta Oncol. 1999;38(7):919–29.

    Article  CAS  PubMed  Google Scholar 

  57. Huang Z, Mayr NA, Lo SS, Wang JZ, Jia G, Yuh WT, et al. A generalized linear-quadratic model incorporating reciprocal time pattern of radiation damage repair. Med Phys. 2012;39(1):224–30.

    Article  PubMed  Google Scholar 

  58. Kreder NC, ten Cate R, Rodermond HM, van Bree C, Franken NA, Zdzienicka MZ, et al. Cellular response to pulsed low-dose rate irradiation in X-ray sensitive hamster mutant cell lines. J Radiat Res. 2004;45(3):385–91.

    Article  PubMed  Google Scholar 

  59. Liu M, Lee S, Liu B, Wang H, Dong L, Wang Y. Ku-dependent non-homologous end-joining as the major pathway contributes to sublethal damage repair in mammalian cells. Int J Radiat Biol. 2015;71(11):867–71.

  60. Rao BS, Tano K, Takeda S, Utsumi H. Split dose recovery studies using homologous recombination deficient gene knockout chicken B lymphocyte cells. J Radiat Res. 2007;48(1):77–85.

    Article  CAS  PubMed  Google Scholar 

  61. Utsumi H, Elkind MM. Requirement for repair of DNA double-strand breaks by homologous recombination in split-dose recovery. Radiat Res. 2001;155(5):680–6.

    Article  CAS  PubMed  Google Scholar 

  62. Ling CC, Gerweck LE, Zaider M, Yorke E. Dose-rate effects in external beam radiotherapy redux. Radiother Oncol. 2010;95(3):261–8.

    Article  PubMed  Google Scholar 

  63. Joiner MC, Bentzen SM. Fractionation: the linear-quadratic approach. In: Joiner M, Van der Kogel A, editors. Basic Clinical Radiobiology. 4th ed. London: Hodder Arnold; 2009. p. 102–19.

    Chapter  Google Scholar 

  64. Millar WT, Van Den Aardweg GJ, Hopewell JW, Canney PA. Repair kinetics in pig epidermis: an analysis based on two separate rates of repair. Int J Radiat Biol. 1996;69(1):123–40.

    Article  CAS  PubMed  Google Scholar 

  65. Turesson I, Thames HD. Repair capacity and kinetics of human skin during fractionated radiotherapy: erythema, desquamation, and telangiectasia after 3 and 5 year’s follow-up. Radiother Oncol. 1989;15(2):169–88.

    Article  CAS  PubMed  Google Scholar 

  66. van den Aardweg GJ, Hopewell JW. The kinetics of repair for sublethal radiation-induced damage in the pig epidermis: an interpretation based on a fast and a slow component of repair. Radiother Oncol. 1992;23(2):94–104.

    Article  PubMed  Google Scholar 

  67. van Rongen E, Thames Jr HD, Travis EL. Recovery from radiation damage in mouse lung: interpretation in terms of two rates of repair. Radiat Res. 1993;133(2):225–33.

    Article  PubMed  Google Scholar 

  68. Steel GG. Recovery kinetics deduced from continuous low dose-rate experiments. Radiother Oncol. 1989;14(4):337–43.

    Article  CAS  PubMed  Google Scholar 

  69. Wang JZ, Rhee JG, Shi P, Stewart RD, Allen LX. In vitro determination of radiation sensitivity parameters for DU-145 prostate cancer cells. Int J Radiat Biol. 2008;84(6):515–22.

    Article  CAS  PubMed  Google Scholar 

  70. Herskind C, Steil V, Kraus-Tiefenbacher U, Wenz F. Radiobiological aspects of intraoperative radiotherapy (IORT) with isotropic low-energy X rays for early-stage breast cancer. Radiat Res. 2005;163(2):208–15.

    Article  CAS  PubMed  Google Scholar 

  71. Herskind C, Griebel J, Kraus-Tiefenbacher U, Wenz F. Sphere of equivalence--a novel target volume concept for intraoperative radiotherapy using low-energy X rays. Int J Radiat Oncol Biol Phys. 2008;72(5):1575–81.

    Article  PubMed  Google Scholar 

  72. Haviland JS, Owen JR, Dewar JA, Agrawal RK, Barrett J, Barrett-Lee PJ, et al. The UK Standardisation of Breast Radiotherapy (START) trials of radiotherapy hypofractionation for treatment of early breast cancer: 10-year follow-up results of two randomised controlled trials. Lancet Oncol. 2013;14(11):1086–94.

    Article  PubMed  Google Scholar 

  73. Nahum AE. The radiobiology of hypofractionation. Clin Oncol. 2015;27(5):260–9.

    Article  Google Scholar 

  74. Ray KJ, Sibson NR, Kiltie AE. Treatment of Breast and Prostate Cancer by Hypofractionated Radiotherapy: Potential Risks and Benefits. Clin Oncol. 2015;27(7):420–6.

    Article  CAS  Google Scholar 

  75. Wenz F, Welzel G, Keller A, Blank E, Vorodi F, Herskind C, et al. Early initiation of external beam radiotherapy (EBRT) may increase the risk of long-term toxicity in patients undergoing intraoperative radiotherapy (IORT) as a boost for breast cancer. Breast. 2008;17(6):617–22.

    Article  PubMed  Google Scholar 

  76. Chen Z, King W, Pearcey R, Kerba M, Mackillop WJ. The relationship between waiting time for radiotherapy and clinical outcomes: a systematic review of the literature. Radiother Oncol. 2008;87(1):3–16.

    Article  PubMed  Google Scholar 

  77. Huang J, Barbera L, Brouwers M, Browman G, Mackillop WJ. Does delay in starting treatment affect the outcomes of radiotherapy? A systematic review. J Clin Oncol. 2003;21(3):555–63.

    Article  PubMed  Google Scholar 

  78. Vaidya JS, Wenz F, Bulsara M, Tobias JS, Joseph DJ, Keshtgar M, et al. Risk-adapted targeted intraoperative radiotherapy versus whole-breast radiotherapy for breast cancer: 5-year results for local control and overall survival from the TARGIT-A randomised trial. Lancet. 2014;383(9917):603–13.

    Article  PubMed  Google Scholar 

  79. Brunner TB, Kunz-Schughart LA, Grosse-Gehling P, Baumann M. Cancer stem cells as a predictive factor in radiotherapy. Semin Radiat Oncol. 2012;22(2):151–74.

    Article  PubMed  Google Scholar 

  80. Veldwijk MR, Zhang B, Wenz F, Herskind C. The biological effect of large single doses: a possible role for non-targeted effects in cell inactivation. PLoS One. 2014;9(1):e84991.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  81. Guerrero M, Li XA. Extending the linear-quadratic model for large fraction doses pertinent to stereotactic radiotherapy. Phys Med Biol. 2004;49(20):4825–35.

    Article  CAS  PubMed  Google Scholar 

  82. Kirkpatrick JP, Meyer JJ, Marks LB. The linear-quadratic model is inappropriate to model high dose per fraction effects in radiosurgery. Semin Radiat Oncol. 2008;18(4):240–3.

    Article  PubMed  Google Scholar 

  83. Park C, Papiez L, Zhang S, Story M, Timmerman RD. Universal survival curve and single fraction equivalent dose: useful tools in understanding potency of ablative radiotherapy. Int J Radiat Oncol Biol Phys. 2008;70(3):847–52.

    Article  PubMed  Google Scholar 

  84. Kavanagh BD, Newman F. Toward a unified survival curve: in regard to Park et al. (IntJ Radiat Oncol Biol Phys 2008;70:847–852) and Krueger et al. (Int J Radiat Oncol Biol Phys 2007;69:1262–1271). Int J Radiat Oncol Biol Phys. 2008;71(3):958–9.

    Article  PubMed  Google Scholar 

  85. Wang JZ, Huang Z, Lo SS, Yuh WT, Mayr NA. A generalized linear-quadratic model for radiosurgery, stereotactic body radiation therapy, and high-dose rate brachytherapy. Sci Transl Med. 2010;2(39):39ra48.

    Article  PubMed  Google Scholar 

  86. Brenner DJ. The linear-quadratic model is an appropriate methodology for determining isoeffective doses at large doses per fraction. Semin Radiat Oncol. 2008;18(4):234–9.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Brown JM, Carlson DJ, Brenner DJ. The tumor radiobiology of SRS and SBRT: are more than the 5 Rs involved? Int J Radiat Oncol Biol Phys. 2014;88(2):254–62.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Iwata H, Matsufuji N, Toshito T, Akagi T, Otsuka S, Shibamoto Y. Compatibility of the repairable-conditionally repairable, multi-target and linear-quadratic models in converting hypofractionated radiation doses to single doses. J Radiat Res. 2013;54(2):367–73.

    Article  PubMed  Google Scholar 

  89. Lindblom E, Dasu A, Lax I, Toma-Dasu I. Survival and tumour control probability in tumours with heterogeneous oxygenation: a comparison between the linear-quadratic and the universal survival curve models for high doses. Acta Oncol. 2014;53(8):1035–40.

    Article  PubMed  Google Scholar 

  90. McKenna FW, Ahmad S. Fitting techniques of cell survival curves in high-dose region for use in stereotactic body radiation therapy. Phys Med Biol. 2009;54(6):1593–608.

    Article  CAS  PubMed  Google Scholar 

  91. Herskind C. Radiobiological aspects of IORT in breast cancer. In: Wenz F, Kraus-Tiefenbacher U, editors. Intraoperative Radiotherapy for Breast Cancer. Bremen: UNI-MED Verlag AG; 2011. p. 21–35.

    Google Scholar 

  92. Dorr W, Trott KR. Do we need “biology-based” models to describe cell survival curves after exposure to ionizing radiation? Z Med Phys. 2015;25(2):99–101.

    Article  PubMed  Google Scholar 

  93. Hellweg CE. The Nuclear Factor kappaB pathway: a link to the immune system in the radiation response. Cancer Lett. 2015;368(2):275–89.

    Article  CAS  PubMed  Google Scholar 

  94. Herskind C, Bamberg M, Rodemann HP. The role of cytokines in the development of normal-tissue reactions after radiotherapy. Strahlenther Onkol. 1998;174 Suppl 3:12–5.

    PubMed  Google Scholar 

  95. Belletti B, Vaidya JS, D’Andrea S, Entschladen F, Roncadin M, Lovat F, et al. Targeted intraoperative radiotherapy impairs the stimulation of breast cancer cell proliferation and invasion caused by surgical wounding. Clin Cancer Res. 2008;14(5):1325–32.

    Article  CAS  PubMed  Google Scholar 

  96. Veldwijk M, Neumaier C, Gerhardt G, Giordano FA, Sütterlin M, Herskind C, et al. Comparison of the proliferative and clonogenic growth capacity of wound fluid from breast cancer patients treated with and without intra-operative radiotherapy. Transl Cancer Res. 2015;4(2):173–7.

    CAS  Google Scholar 

  97. Maeda A, Leung MK, Conroy L, Chen Y, Bu J, Lindsay PE, et al. In vivo optical imaging of tumor and microvascular response to ionizing radiation. PLoS One. 2012;7(8):e42133.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Wang J, Boerma M, Fu Q, Hauer-Jensen M. Significance of endothelial dysfunction in the pathogenesis of early and delayed radiation enteropathy. World J Gastroenterol. 2007;13(22):3047–55.

    CAS  PubMed  PubMed Central  Google Scholar 

  99. Park HJ, Griffin RJ, Hui S, Levitt SH, Song CW. Radiation-induced vascular damage in tumors: implications of vascular damage in ablative hypofractionated radiotherapy (SBRT and SRS). Radiat Res. 2012;177(3):311–27.

    Article  CAS  PubMed  Google Scholar 

  100. Garcia-Ruiz C, Morales A, Fernandez-Checa JC. Glycosphingolipids and cell death: one aim, many ways. Apoptosis. 2015;20(5):607–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  101. Kolesnick R, Fuks Z. Radiation and ceramide-induced apoptosis. Oncogene. 2003;22(37):5897–906.

    Article  CAS  PubMed  Google Scholar 

  102. Ch’ang HJ, Maj JG, Paris F, Xing HR, Zhang J, Truman JP, et al. ATM regulates target switching to escalating doses of radiation in the intestines. Nat Med. 2005;11(5):484–90.

    Article  PubMed  CAS  Google Scholar 

  103. Paris F, Fuks Z, Kang A, Capodieci P, Juan G, Ehleiter D, et al. Endothelial apoptosis as the primary lesion initiating intestinal radiation damage in mice. Science. 2001;293(5528):293–7.

    Article  CAS  PubMed  Google Scholar 

  104. Rotolo J, Stancevic B, Zhang J, Hua G, Fuller J, Yin X, et al. Anti-ceramide antibody prevents the radiation gastrointestinal syndrome in mice. J Clin Invest. 2012;122(5):1786–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Fuks Z, Kolesnick R. Engaging the vascular component of the tumor response. Cancer Cell. 2005;8(2):89–91.

    Article  CAS  PubMed  Google Scholar 

  106. Garcia-Barros M, Paris F, Cordon-Cardo C, Lyden D, Rafii S, Haimovitz-Friedman A, et al. Tumor response to radiotherapy regulated by endothelial cell apoptosis. Science. 2003;300(5622):1155–9.

    Article  CAS  PubMed  Google Scholar 

  107. Rotolo JA, Mesicek J, Maj J, Truman JP, Haimovitz-Friedman A, Kolesnick R, et al. Regulation of ceramide synthase-mediated crypt epithelium apoptosis by DNA damage repair enzymes. Cancer Res. 2010;70(3):957–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  108. Hendry JH, Dorr W, Hill RP, Potten CS. No apoptotic endothelial cells in irradiated intestine: regarding Schuller et al. (Int J Radiat Oncol Biol Phys 2007;68:205–210). Int J Radiat Oncol Biol Phys. 2008;70(3):801–2. author reply 3.

    Article  PubMed  Google Scholar 

  109. Schuller BW, Binns PJ, Riley KJ, Ma L, Hawthorne MF, Coderre JA. Selective irradiation of the vascular endothelium has no effect on the survival of murine intestinal crypt stem cells. Proc Natl Acad Sci U S A. 2006;103(10):3787–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Schuller BW, Rogers AB, Cormier KS, Riley KJ, Binns PJ, Julius R, et al. No significant endothelial apoptosis in the radiation-induced gastrointestinal syndrome. Int J Radiat Oncol Biol Phys. 2007;68(1):205–10.

    Article  CAS  PubMed  Google Scholar 

  111. Nairz O, Deutschmann H, Kopp M, Wurstbauer K, Kametriser G, Fastner G, et al. A dosimetric comparison of IORT techniques in limited-stage breast cancer. Strahlenther Onkol. 2006;182(6):342–8.

    Article  PubMed  Google Scholar 

  112. Clausen S, Schneider F, Jahnke L, Fleckenstein J, Hesser J, Glatting G, et al. A Monte Carlo based source model for dose calculation of endovaginal TARGIT brachytherapy with INTRABEAM and a cylindrical applicator. Z Med Phys. 2012;22(3):197–204.

    Article  PubMed  Google Scholar 

  113. Goubert M, Parent L. Dosimetric characterization of INTRABEAM(R) miniature accelerator flat and surface applicators for dermatologic applications. Phys Med. 2015;31(3):224–32.

    Article  PubMed  Google Scholar 

  114. Schneider F, Clausen S, Tholking J, Wenz F, Abo-Madyan Y. A novel approach for superficial intraoperative radiotherapy (IORT) using a 50 kV X-ray source: a technical and case report. J Appl Clin Med Phys. 2014;15(1):4502.

    PubMed  Google Scholar 

  115. Schneider F, Fuchs H, Lorenz F, Steil V, Ziglio F, Kraus-Tiefenbacher U, et al. A novel device for intravaginal electronic brachytherapy. Int J Radiat Oncol Biol Phys. 2009;74(4):1298–305.

    Article  PubMed  Google Scholar 

  116. Herskind C, Ma L, Liu Q, Wenz F. Biological Effect of Single, Very Large Dose Fractions as used in Intraoperative Radiotherapy (IORT). O. Dössel and W.C. Schlegel, editors. WC2009, IFMBE Proceedings, Springer 2009; 25/III: 18-21.

  117. Huang JJ, Lin MC, Bai YX, da Jing D, Wong BC, Han SW, et al. Ectopic expression of a COOH-terminal fragment of the human telomerase reverse transcriptase leads to telomere dysfunction and reduction of growth and tumorigenicity in HeLa cells. Cancer Res. 2002;62(11):3226–32.

    CAS  PubMed  Google Scholar 

  118. Vaidya JS, Vyas JJ, Chinoy RF, Merchant N, Sharma OP, Mittra I. Multicentricity of breast cancer: whole-organ analysis and clinical implications. Br J Cancer. 1996;74(5):820–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  119. Veronesi U, Marubini E, Del Vecchio M, Manzari A, Andreola S, Greco M, et al. Local recurrences and distant metastases after conservative breast cancer treatments: partly independent events. J Natl Cancer Inst. 1995;87(1):19–27.

    Article  CAS  PubMed  Google Scholar 

  120. Leonardi MC, Maisonneuve P, Mastropasqua MG, Morra A, Lazzari R, Dell’Acqua V, et al. Accelerated partial breast irradiation with intraoperative electrons: using GEC-ESTRO recommendations as guidance for patient selection. Radiother Oncol. 2013;106(1):21–7.

    Article  PubMed  Google Scholar 

  121. Silverstein MJ, Fastner G, Maluta S, Reitsamer R, Goer DA, Vicini F, et al. Intraoperative radiation therapy: a critical analysis of the ELIOT and TARGIT trials. Part 1--ELIOT. Ann Surg Oncol. 2014;21(12):3787–92.

    Article  PubMed  PubMed Central  Google Scholar 

  122. Silverstein MJ, Fastner G, Maluta S, Reitsamer R, Goer DA, Vicini F, et al. Intraoperative radiation therapy: a critical analysis of the ELIOT and TARGIT trials. Part 2--TARGIT. Ann Surg Oncol. 2014;21(12):3793–9.

    Article  PubMed  PubMed Central  Google Scholar 

  123. Veronesi U, Orecchia R, Maisonneuve P, Viale G, Rotmensz N, Sangalli C, et al. Intraoperative radiotherapy versus external radiotherapy for early breast cancer (ELIOT): a randomised controlled equivalence trial. Lancet Oncol. 2013;14(13):1269–77.

    Article  PubMed  Google Scholar 

  124. Blank E, Kraus-Tiefenbacher U, Welzel G, Keller A, Bohrer M, Sutterlin M, et al. Single-center long-term follow-up after intraoperative radiotherapy as a boost during breast-conserving surgery using low-kilovoltage x-rays. Ann Surg Oncol. 2010;17 Suppl 3:352–8.

    Article  PubMed  Google Scholar 

  125. Fastner G, Reitsamer R, Ziegler I, Zehentmayr F, Fussl C, Kopp P, et al. IOERT as anticipated tumor bed boost during breast-conserving surgery after neoadjuvant chemotherapy in locally advanced breast cancer--results of a case series after 5-year follow-up. Int J Cancer. 2015;136(5):1193–201.

    Article  CAS  PubMed  Google Scholar 

  126. Fastner G, Sedlmayer F, Merz F, Deutschmann H, Reitsamer R, Menzel C, et al. IORT with electrons as boost strategy during breast conserving therapy in limited stage breast cancer: long term results of an ISIORT pooled analysis. Radiother Oncol. 2013;108(2):279–86.

    Article  PubMed  Google Scholar 

  127. Vaidya JS, Baum M, Tobias JS, Wenz F, Massarut S, Keshtgar M, et al. Long-term Results of Targeted Intraoperative Radiotherapy (Targit) Boost during Breast-conserving Surgery. Int J Radiat Oncol Biol Phys. 2011;81(4):1091–7.

    Article  PubMed  Google Scholar 

  128. Herskind C, Wenz F. Radiobiological comparison of hypofractionated accelerated partial-breast irradiation (APBI) and single-dose intraoperative radiotherapy (IORT) with 50-kV X-rays. Strahlenther Onkol. 2010;186(8):444–51.

    Article  PubMed  Google Scholar 

  129. Dörr W, van der Kogel AJ. The volume effect in radiotherapy. In: Joiner M, van der Kogel AJ, editors. Basic Clinical Radiobiology. 4th ed. London: Hodder Arnold; 2009. p. 191–206.

    Chapter  Google Scholar 

  130. Flickinger JC, Kondziolka D, Lunsford LD. Radiobiological analysis of tissue responses following radiosurgery. Technol Cancer Res Treat. 2003;2(2):87–92.

    Article  PubMed  Google Scholar 

  131. Mukesh MB, Harris E, Collette S, Coles CE, Bartelink H, Wilkinson J, et al. Normal tissue complication probability (NTCP) parameters for breast fibrosis: pooled results from two randomised trials. Radiother Oncol. 2013;108(2):293–8.

    Article  PubMed  Google Scholar 

  132. Sperk E, Welzel G, Keller A, Kraus-Tiefenbacher U, Gerhardt A, Sutterlin M, et al. Late radiation toxicity after intraoperative radiotherapy (IORT) for breast cancer: results from the randomized phase III trial TARGIT A. Breast Cancer Res Treat. 2012;135(1):253–60.

    Article  PubMed  Google Scholar 

  133. Tuschy B, Berlit S, Romero S, Sperk E, Wenz F, Kehl S, et al. Clinical aspects of intraoperative radiotherapy in early breast cancer: short-term complications after IORT in women treated with low energy x-rays. Radiat Oncol. 2013;8:95.

    Article  PubMed  PubMed Central  Google Scholar 

  134. Bartelink H, Maingon P, Poortmans P, Weltens C, Fourquet A, Jager J, et al. Whole-breast irradiation with or without a boost for patients treated with breast-conserving surgery for early breast cancer: 20-year follow-up of a randomised phase 3 trial. Lancet Oncol. 2015;16(1):47–56.

    Article  PubMed  Google Scholar 

  135. Poortmans PM, Collette L, Bartelink H, Struikmans H, Van den Bogaert WF, Fourquet A, et al. The addition of a boost dose on the primary tumour bed after lumpectomy in breast conserving treatment for breast cancer. A summary of the results of EORTC 22881-10882 “boost versus no boost” trial. Cancer Radiother. 2008;12(6–7):565–70.

    Article  CAS  PubMed  Google Scholar 

  136. Poortmans PM, Collette L, Horiot JC, Van den Bogaert WF, Fourquet A, Kuten A, et al. Impact of the boost dose of 10 Gy versus 26 Gy in patients with early stage breast cancer after a microscopically incomplete lumpectomy: 10-year results of the randomised EORTC boost trial. Radiother Oncol. 2009;90(1):80–5.

    Article  PubMed  Google Scholar 

  137. Engel D, Schnitzer A, Brade J, Blank E, Wenz F, Suetterlin M, et al. Are mammographic changes in the tumor bed more pronounced after intraoperative radiotherapy for breast cancer? Subgroup analysis from a randomized trial (TARGIT-A). Breast J. 2013;19(1):92–5.

    Article  PubMed  Google Scholar 

  138. Wasser K, Schoeber C, Kraus-Tiefenbacher U, Bauer L, Brade J, Teubner J, et al. Early mammographic and sonographic findings after intraoperative radiotherapy (IORT) as a boost in patients with breast cancer. Eur Radiol. 2007;17(7):1865–74.

    Article  CAS  PubMed  Google Scholar 

  139. Hershko D, Abdah-Bortnyak R, Nevelsky A, Gez E, Fried G, Kuten A. Breast-conserving surgery and intraoperative electron radiotherapy in early breast cancer: experience at the Rambam Health Care Campus. Isr Med Assoc J. 2012;14(9):550–4.

    PubMed  Google Scholar 

  140. Flickinger JC. An integrated logistic formula for prediction of complications from radiosurgery. Int J Radiat Oncol Biol Phys. 1989;17(4):879–85.

    Article  CAS  PubMed  Google Scholar 

  141. Lawrence YR, Li XA, el Naqa I, Hahn CA, Marks LB, Merchant TE, et al. Radiation dose-volume effects in the brain. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S20–7.

    Article  PubMed  PubMed Central  Google Scholar 

  142. Giordano FA, Brehmer S, Abo-Madyan Y, Welzel G, Sperk E, Keller A, et al. INTRAGO: intraoperative radiotherapy in glioblastoma multiforme-a phase I/II dose escalation study. BMC Cancer. 2014;14:992.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  143. Blonigen BJ, Steinmetz RD, Levin L, Lamba MA, Warnick RE, Breneman JC. Irradiated volume as a predictor of brain radionecrosis after linear accelerator stereotactic radiosurgery. Int J Radiat Oncol Biol Phys. 2010;77(4):996–1001.

    Article  PubMed  Google Scholar 

  144. Flickinger JC, Kondziolka D, Pollock BE, Maitz AH, Lunsford LD. Complications from arteriovenous malformation radiosurgery: multivariate analysis and risk modeling. Int J Radiat Oncol Biol Phys. 1997;38(3):485–90.

    Article  CAS  PubMed  Google Scholar 

  145. Korytko T, Radivoyevitch T, Colussi V, Wessels BW, Pillai K, Maciunas RJ, et al. 12 Gy gamma knife radiosurgical volume is a predictor for radiation necrosis in non-AVM intracranial tumors. Int J Radiat Oncol Biol Phys. 2006;64(2):419–24.

    Article  PubMed  Google Scholar 

  146. Bentzen SM, Overgaard M. Relationship between early and late normal-tissue injury after postmastectomy radiotherapy. Radiother Oncol. 1991;20(3):159–65.

    Article  CAS  PubMed  Google Scholar 

  147. Bentzen SM, Joiner MC. The linear-quadratic approach in clincal practice. In: Joiner M, Van der Kogel A, editors. Basic Clinical Radiobiology. 4th ed. London: Hodder Arnold; 2009. p. 120–34.

    Chapter  Google Scholar 

  148. Bentzen SM, Skoczylas JZ, Bernier J. Quantitative clinical radiobiology of early and late lung reactions. Int J Radiat Biol. 2000;76(4):453–62.

    Article  CAS  PubMed  Google Scholar 

  149. Dubray B, Henry-Amar M, Meerwaldt JH, Noordijk EM, Dixon DO, Cosset JM, et al. Radiation-induced lung damage after thoracic irradiation for Hodgkin’s disease: the role of fractionation. Radiother Oncol. 1995;36(3):211–7.

    Article  CAS  PubMed  Google Scholar 

  150. Haviland JS, Bentzen SM, Bliss JM, Yarnold JR. Prolongation of overall treatment time as a cause of treatment failure in early breast cancer: An analysis of the UK START (Standardisation of Breast Radiotherapy) trials of radiotherapy fractionation. Radiother Oncol. 2016; 121(3):420-30

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Acknowledgements

We thank Dr. F.A. Giordano for helpful discussion.

Funding

Drs. L. Ma and Q. Liu were partly supported by research grants from Carl Zeiss Meditec AG. The funding body had no influence on the design of the study and collection, analysis, and interpretation of data or in writing the manuscript.

Availability of data and materials

The data sets supporting the conclusions of this article are included within the article as Additional files 3 and 4.

Authors’ contributions

CH conceived the experimental study and the review, designed the experiments, performed the final data analysis, and drafted the manuscript. LM carried out RBE and repair dose-response experiments. QL performed the repair kinetics and split-dose experiments. BZ carried out RBE experiments and repair experiments. FS performed the dosimetry. MRV participated in drafting the manuscript. FW conceived of the study and participated in drafting the manuscript. All authors read and approved of the final manuscript.

Competing interests

Carl Zeiss Meditec AG, Jena, Germany, and Elekta AB, Stockholm, Sweden support radiation oncology research and training at the Universitätsmedizin Mannheim, Mannheim, Germany.

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    Authors and Affiliations

    1. Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany

      Carsten Herskind, Lin Ma, Qi Liu, Bo Zhang, Frank Schneider, Marlon R. Veldwijk & Frederik Wenz

    2. Present Address: Department of Radiation Oncology, University of California, San Francisco, CA, USA

      Lin Ma & Qi Liu

    3. Present Address: Department of Oncology at No. 2 Hospital Anhui Medical University, and School of Life Sciences, Anhui Medical University, Hefei, Anhui, China

      Bo Zhang

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    1. Carsten Herskind
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    Additional files

    Additional file 1:

    Supplementary Materials and Methods and Supplementary Results. (PDF 41 kb)

    Additional file 2:

    Figures S1-S5. Figure S1. Survival curves for irradiation of cells (V79, MCF7, HUVEC) in vitro with 10 MeV electrons or 6 MV X-rays. Figure S2. A: Induction and decay of the mean number of γH2AX foci per cell (V79). Figure S2. B-E: Distributions of the number of foci in individual cells 30 min after irradiation. Figure S3. A, B: Sublinear dose response for the mean number of γH2AX foci per cell (MCF7) at maximum induction and after repair. Figure S3. C: The fraction of γH2AX foci remaining at 240 min (4h) in V79 as function of dose. Figure S4. Decay of γH2AX foci with increasing post-irradiation repair time. Figure S5. A, B: Split-dose recovery of cell survival of V79 and MCF7 cells. C, D: Surviving fractions as function of split-dose interval time. E, F: λ × t derived from Eq. (3) of the Supplementary Materials and Methods as function of split-dose interval. (PDF 229 kb)

    Additional file 3:

    DSB and SLD repair data. (XLSX 26 kb)

    Additional file 4:

    RBE and gH2AX data. (XLSX 56 kb)

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    Herskind, C., Ma, L., Liu, Q. et al. Biology of high single doses of IORT: RBE, 5 R’s, and other biological aspects. Radiat Oncol 12, 24 (2017). https://doi.org/10.1186/s13014-016-0750-3

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    Keywords

    Radiation Oncology

    ISSN: 1748-717X

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