Abstract
The last decade has seen rapid growth in the use of theranostic radionuclides for the treatment and imaging of a wide range of cancers. Radionuclide therapy and imaging rely on a radiolabeled vector to specifically target cancer cells. Radionuclides that emit β particles have thus far dominated the field of targeted radionuclide therapy (TRT), mainly because the longer range (μm–mm track length) of these particles offsets the heterogeneous expression of the molecular target. Shorter range (nm–μm track length) α- and Auger electron (AE)-emitting radionuclides on the other hand provide high ionization densities at the site of decay which could overcome much of the toxicity associated with β-emitters. Given that there is a growing body of evidence that other sensitive sites besides the DNA, such as the cell membrane and mitochondria, could be critical targets in TRT, improved techniques in detecting the subcellular distribution of these radionuclides are necessary, especially since many β-emitting radionuclides also emit AE. The successful development of TRT agents capable of homing to targets with subcellular precision demands the parallel development of quantitative assays for evaluation of spatial distribution of radionuclides in the nm–μm range. In this review, the status of research directed at subcellular targeting of radionuclide theranostics and the methods for imaging and quantification of radionuclide localization at the nanoscale are described.
Keywords: subcellular targeting, radioimmunotherapy, targeted radionuclide therapy, radiopharmaceuticals, cancer, dosimetry
Introduction
The capacity of a pharmacon to selectively find its biological target is an important determinant of its usefulness in clinical medicine. Many pharmacologically active substances have intracellular molecular targets that reside in organelles (D’Souza and Weissig, 2009). Carriers that selectively target these subcellular structures have been investigated extensively, and include micro- or nanoparticulate drug carriers, liposomal formulations, macromolecular drug conjugates, and chemically modified proteins (Rajendran et al., 2010). One field where subcellular targeting has been relatively unexplored, but has the potential to make a profound impact, is targeted radionuclide therapy (TRT).
Targeted radionuclide therapy is a treatment modality that encompasses the use of radionuclide-conjugated cancer-specific vectors, such as small molecules, peptides, antibodies, and nanoparticles, to selectively deliver radiation to the tumor. TRT compounds are often designed as theranostic agents; so that, when coupled to suitable radionuclides, they can be used for positron emission tomography (PET) or single-photon emission computed tomography (SPECT). A large body of evidence, accumulated over several decades, has established TRT as an effective anticancer strategy (Jackson et al., 2013; Pouget et al., 2015; Aghevlian et al., 2017). Prominent examples include treatments for lymphoma [yttrium-90 (90Y)-ibritumomab tiuxetan], neuroblastoma [iodine-131 (131I)-MIBG], and prostate cancer [radium-223 dichloride (223RaCl2)] (Larson et al., 2015; Gill et al., 2017). The success of the NETTER-1 trial with lutetium-177 (177Lu)-DOTATATE in patients with midgut neuroendocrine tumors (Strosberg et al., 2017), and the promising results of 177Lu-prostate specific-membrane antigen (177Lu-PSMA) ligand treatments in patients with prostate cancer (von Eyben et al., 2018) have given this field further positive momentum. However, challenges remain, including heterogeneous expression of molecular targets relevant to TRT, sub-optimal tumor delivery or penetration, and radioresistance. The latter characteristic means that for many solid tumors a five- to 10-fold higher radiation absorbed dose must be achieved for tumor eradication compared to hematological malignancies (Pouget et al., 2011). Several strategies have been tested to increase the anticancer efficacy of TRT. One option is to design radiopharmaceuticals that specifically target radiosensitive organelles to increase the probability of cell kill (Aghevlian et al., 2017). Typically, radionuclides that emit short-range Auger electrons (AEs) are used in this context due to their highly localized dose-deposition. It is notable that the decay of several widely-used β-emitting therapeutic radionuclides includes a substantial AE contribution, thus generating both local and distant radiotoxic effects due to AE and β-electrons, respectively (Falzone et al., 2015). Subcellular targeting of these radionuclides may be advantageous since the AE cause local damage to the targeted compartment. Even for high energy, short range α-emitters, the effects of subcellular localization may influence the cytotoxicity of short-range daughter products. Therefore, a better understanding of the subcellular distribution of radionuclides may lead to optimization of TRT. Over the past decade, several strategies for subcellular delivery have been tested, including nuclear, mitochondrial, cell membrane, and lysosomal delivery. This review is focused on the relationship between the track path-length of radionuclide emissions, subcellular targeting, and radiation-induced cell kill. To understand the importance of subcellular targeting in TRT, basic radiobiological concepts will be reviewed. The methods used to investigate the subcellular distribution of radionuclides are considered and the results of pre-clinical and clinical studies aimed at exploring organelle-directed TRT are evaluated.
Radiobiology of Targeted Radionuclide Therapy
Radionuclide Properties
Radionuclides are unstable atomic nuclei that release energy by emission of particulate radiation in the form of α-particles, β-particles, or AE, and by electromagnetic radiation in the form of X- or γ-rays. Their action is described by their linear energy transfer (LET), which is the amount of energy that an ionizing particle deposits in matter per unit distance. Radionuclides are used extensively for diagnostic and therapeutic purposes in cancer treatment. β electron-emitting radionuclides, also known as β-emitters, have historically been the most commonly used class of radionuclides in the therapeutic setting. β-emitters release electrons of mean energy ranging from about 0.2–1.0 MeV, resulting in a long track path-length with a continuous-slowing-down-approximation (CSDA) range in water of up to 12 mm. As a consequence, the LET of β-emitters is low (<1 keV/μm; Kassis, 2004). With the clinical development of 223RaCl2 over the last decade, α-emitters are now being studied intensively for various applications. α-emitters decay by releasing helium nuclei, known as α-particles, with energy ranging from 5 to 9 MeV over an intermediate track path-length in water (50–100 μm), resulting in high LET to exposed cells (50–230 keV/μm; Pouget et al., 2015). AEs, which are of particular interest in the context of subcellular targeting, are ejected from electron shells following a process called internal atomic ionization. This process is a result of nuclear decay modes that interact strongly with atomic shells, such as electron capture or internal conversion. Most AEs have a low energy (<5 keV) and very limited tissue penetration depth (< 1 μm), leading to a high LET (4–26 keV/μm; Lee et al., 2015). It is important to note that most radionuclides emit multiple types of radiation. For example, 177Lu, which is used in the treatment of somatostatin receptor positive tumors (177Lu-DOTATATE) and in the prostate cancer-targeting agent, 177Lu-PSMA, decays by emission of both β-electrons and AE (Hindié et al., 2016). Furthermore, photons emitted during the decay can be detected by SPECT, which makes it a suitable radionuclide for combined therapy and diagnosis (Uribe et al., 2017). Table 1 summarizes the decay properties of several radionuclides that have been used or considered for diagnostics and therapy in the clinic (Eckerman and Endo, 2007; Falzone et al., 2015).
Table 1.
Per decay | 67Cu(β) | 67Ga(A) | 99mTc(A) | 111In(A) | 123I∗(A) | 153Sm(β) | 161Tb(β) | 177Lu(β) | 211At(α) |
---|---|---|---|---|---|---|---|---|---|
Half- life (days); Decay mode | 2.58; β- | 3.26; ECf | 0.25; ITg β- | 2.80; EC | 0.55; EC | 1.93; β- | 6.89; β- | 6.65; β- | 0.30; EC α |
Yield of AEa and CKb e- | 0.56 | 4.96 | 4.41 | 7.43 | 13.7 | 6.58 | 11.0 | 1.12 | 6.53 |
Yield of IEc e- | 0.15 | 0.34 | 1.10 | 0.16 | 0.16 | 0.81 | 1.42 | 0.15 | 3.85E-04 |
Yield of X-rays | 0.78 | 6.87 | 5.58 | 9.50 | 15.8 | 8.30 | 13.0 | 1.37 | 7.73 |
Yield of γ rays | 0.73 | 0.87 | 0.89 | 1.85 | 0.86 | 0.37 | 0.53 | 0.18 | 1.38E-02 |
Yield of β+ or β- | 1.00 | – | 3.70E-05 | – | – | 1.00 | 1.00 | 1.00 | – |
Yield of α | – | – | – | – | – | – | – | – | 1.00 |
Yield of α recoils | – | – | – | – | – | – | – | – | 1.00 |
Total γ- and X-ray energy (keV/nt) | 115 | 160 | 127 | 386 | 173 | 64.3 | 36.5 | 35.1 | 44.8 |
Total β+ or β- energy (keV/nt) | 136 | – | 4.20E-03 | – | – | 224 | 154 | 133 | – |
Total IE e- energy (keV/nt) | 13.7 | 29.7 | 15.2 | 27.9 | 21.0 | 40.3 | 39.3 | 13.5 | 0.27 |
Total AE and CK energy (keV/nt) | 0.75 | 6.64 | 0.94 | 6.88 | 7.23 | 6.02 | 8.94 | 1.13 | 5.86 |
Total α energy (keV/nt) | – | – | – | – | – | – | – | – | 6.78E+03 |
Total α recoil energy (keV/nt) | – | – | – | – | – | – | – | – | 131 |
Total energy released (keV/nt) | 266 | 196 | 1.43 | 441 | 201 | 334 | 239 | 183 | 6.96E+03 |
(p/e)d ratio | 0.76 | 4.50 | 7.90 | 11.1 | 6.10 | 0.24 | 0.18 | 0.24 | 6.48E-03 |
Yield is the number of radiative species released per decay (/nt). Source: Falzone et al. (2015). Adapted and reproduced with permission from the Journal of Nuclear Medicine. Copyright: Society of Nuclear Medicine and Molecular Imaging.
A: SPECT; B: PET; ∗123I decays to 123Te and 123mTe, with half-lives too long to play a role in TRT. ˆ211At decays to 211Po (T1/2 = 0.516 s) and 207Bi (T1/2 = 31.55 y), radiation from the latter is excluded due to its long half-life.
aAuger electron; bCoster–Kronig electron; cinternal conversion electron; dratio of penetrating to non-penetrating ionizing radiation; especific activity; felectron capture; gisomeric transition.
To illustrate how the different ranges of these particles translate to successful subcellular targeting, the associated absorbed dose per cumulated activity for different radionuclides are compared in Figure 1. Most of the energy associated with AE is deposited over a distance < 1 μm from the point of decay. Examples include gallium-67 (67Ga), technetium-99m (99mTc), indium-111 (111In), and iodine-123 (123I) (Figure 1A). A sinusoidal energy-deposition profile is seen for all AE-emitting radionuclides in the first 10 μm from the point of decay. A similar profile, albeit less pronounced, is also present for β-emitters, i.e., copper-67 (67Cu), samarium-153 (153Sm), terbium-161 (161Tb), and 177Lu, as they also emit AE. When considering the absorbed dose received by targeted organelles within a cell, it can be seen from Figures 1B–D that AE-emitters are significantly more effective than β-emitters 67Cu and 177Lu for organelles such as the mitochondria. It is noteworthy that the β-emitting radionuclide 161Tb deposits a higher dose over the distance considered than the other β-electron-emitting radionuclides, which is partly due to release of AE in the decay cascade. β-emitters, on the other hand, deposit a greater absorbed dose than AE-emitters when the target volume is larger than an average cell (∼20 μm in diameter). α-emitters, such as astatine-211 (211At), deliver the highest dose within the range considered. At dimensions larger than a standard cell diameter (20 μm), 211At dose is at least two orders of magnitude higher than β- and AE-emitters.
Radiobiological Implications of Radionuclide Therapy
As a result of their low LET and long track-length, β-electrons cause sparse ionizations over tens to hundreds of cell diameters. The range of β-electrons means that a vector carrying radionuclides of this type may not need to reach each and every tumor cell to achieve the desired anti-tumor effect as non-targeted cells may be damaged through the “crossfire effect” (Pouget et al., 2015). Thus, success of this type of therapy is not critically dependent on homogeneous radionuclide distribution within a tumor. On the downside, this also means that nearby normal tissue may receive a toxic absorbed dose, thus limiting the administered amount of radioactivity and, therefore, the tumor absorbed radiation dose that can be safely achieved. Furthermore, the low-density ionizations caused by β-electrons may not be sufficient to cause cell death, especially in radioresistant cells. In contrast, α-particles travel a much shorter distance (roughly 5–10 cell diameters) and, in contrast to β-emitters, are densely ionizing and cause complex, irreparable DNA damage in the cells they traverse. An intriguing phenomenon for TRT with α-emitters is dissociation of the radionuclide from the chelating group upon decay, either due to the altered coordination chemistry of the daughter elements in the decay cascade or the high recoil energy generated upon the emission of α-particles. The recoiled daughter nuclei are often themselves α-emitters and this phenomenon may lead to toxicity or desired cytotoxic effect at the daughter decay sites as some daughter nuclei are long-lived and able to move away from the targeted cells before they decay (Dekempeneer et al., 2016; Ackerman et al., 2018). Furthermore, these recoiled daughter nuclei have a LET that is at least 10 times greater than the ejected α-particles and may contribute significantly to ionization events in the immediate vicinity of the decay site (Kozempel et al., 2018). The extreme density of ionization events caused by α-emitters and their daughter nuclides, which are short-lived and decay close to the decay site of the parent nuclide, may be exploited for therapeutic gain in TRT if directed at specific radiosensitive cellular compartments. AE cause dense ionizations, but only on a nanometer scale. The result is that the radionuclides are relatively harmless unless they are in close proximity to a targeted radiosensitive subcellular structure (Falzone et al., 2015). This characteristic can be highly advantageous in reducing the side effects of TRT as, unlike α- or β-particles, non-targeted neighboring cells remain unaffected by radiation. For the radiopharmaceutical to be effective in the targeted cell, however, precise subcellular targeting is essential for the radiopharmaceutical to achieve its optimal anti-tumor effect. As many β-emitters also emit AE, their anti-tumor effect in the targeted cells could be enhanced if precise subcellular targeting is applied to β-emitters. An example of this is 161Tb, a β-emitter that emits a comparable number of AE to many classical AE-emitters.
Besides targeted radiation effects, TRT can also induce non-targeted effects, which have been hypothesized to result from the production of various apoptotic factors, cytokines, and reactive oxygen species (ROS). This is known as the “bystander effect,” causing perturbations in unirradiated cells which are close to irradiated cells. The bystander response is observed for both high-LET (α-particles and AE) and low-LET (β-electrons) radiation (Boyd et al., 2006). The topic of the bystander effect has been recently reviewed (Brady et al., 2013; Pouget et al., 2015).
Methods to Detect the Spatial Distribution of Radionuclides
To evaluate the potential efficacy of a novel radionuclide therapeutic, it is essential to obtain information about the spatial distribution and radiation dose deposition in relevant tissues and cells. One of the major advantages of TRT is the ability to visualize drug distribution and tumor targeting in patients by means of PET or SPECT. Isotopes such as 99mTc, 111In, and 123I were initially used for diagnostic purposes due to the emission of γ-rays, and only later considered as potential therapeutics as a result of the AE-emitting effects (Gomes et al., 2011). Cellular targeting was mainly directed to membrane receptors, because of their abundant expression and relative accessibility. However, the majority of potential cancer cell targets reside intracellularly (Cornelissen, 2014). Specific subcellular targeting of theranostic probes may therefore not only have an impact on cancer cell kill, but also on imaging. Several techniques have been described to elucidate the subcellular distribution of radionuclides (Puncher and Blower, 1994; Falzone et al., 2012; Mather, 2012; Kim et al., 2017). This section reviews the different techniques and provides a summary of the main advantages and limitations (Table 2).
Table 2.
Methods | Radionuclides | Advantages | Disadvantages |
---|---|---|---|
Fractionation assay | γ-emitters | Quantitative | Disruptive |
Ease of use | No spatial information | ||
Required time (2–3 days) | Does not take population variation into account | ||
EM-MAR | AE-emitters | High spatial resolution | Fixed cells |
Semi-quantitative | High rate and ease of artifact production | ||
Non-linear signal due to silver bromide crystal saturation | |||
Required time (1.5–3 weeks) | |||
Specialist handling required | |||
PAR | AE-emitters | High spatial resolution (∼10 nm) | Fixed cells |
Semi-quantitative | Lithography process can lead to over-development | ||
NanoSIMS | All isotopes | High spatial resolution | Fixed cells |
Quantitative | Sample preparation | ||
Suitable for stable and radioisotopes | Cost | ||
Specialist handling required | |||
Radioluminescence | β- and positron-emitters | Potential of live cell imaging | Low throughput (∼100 cells/acquisition) |
Moderate spatial resolution | Long acquisition times (15–30 min) | ||
Highly sensitive (<1 attomole) | |||
Quantitative | |||
α-camera | α-emitters | Quantitative | Low resolution (∼35 μm) |
Requires collimation | |||
Timepix | α-, β-, γ-, and muon-emitters | Quantitative | Low resolution (∼77 μm) |
Suitable for a variety of radionuclides | |||
Fractionation Assays
One of the most commonly employed methods to determine the localization of radionuclides on a subcellular level is the use of fractionation protocols for isolation of subcellular components. A gamma-counter is then used to detect and quantify the amount of radioactivity associated with each fraction. Cells may be disrupted by osmotic shock, ultrasonic vibration, lyzed in a blender, or extruded through a fine needle. These procedures are detrimental to cell membrane integrity, including the endoplasmic reticulum (ER) and plasma membrane, but leave important organelles such as the nucleus, mitochondria, peroxisomes, and lysosomes largely intact. Organelles each have a distinctive size, charge, and density, and the homogenate can therefore be separated by centrifugation steps in different buffers (Alberts et al., 2002). When these fractions are separated, and the radioactive content is measured using a γ-counter, it is possible to obtain a highly quantitative measure of the relative uptake of the radionuclide in each type of organelle. Several researchers have reported the use of this approach, including Chen et al. (2006), Zereshkian et al. (2014), and Ngo Ndjock Mbong et al. (2015). This technique can be used for all γ-emitting radionuclides, making it a highly useful technique in TRT research. Although this technique is excellent for describing the average intracellular distribution of radioactivity for cell populations, detailed spatial information is lost. Furthermore, fractionation and gamma-counting provide a population average distribution and do not take into account the large variation of uptake between individual cells.
Microautoradiography
Microautoradiography is a technique that involves the use of X-ray films, beta imaging systems, phosphor imaging plates, or a photo-nuclear emulsion to detect radiolabeled molecules. It can be used to visualize and quantitatively resolve compounds in tissue, cells, and subcellular organelles (Solon, 2015). Two techniques are of particular relevance to the study of the localization of radiolabeled drugs to subcellular structures: electron microscopy – microautoradiography (EM-MAR) (Paul et al., 1970) and photoresist autoradiography (PAR; Falzone et al., 2011).
Electron Microscopy – Microautoradiography
EM-MAR is a technique that was reported soon after the development of the electron microscope by Liquier-Milward (1956), enabling visualization of the subcellular distribution of short track-length particulate radiation, such as AE. EM-MAR involves the exposure of cultured cells or excised tissues to radiolabeled compounds followed by preparation of the material for transmission EM. After mounting sections on copper grids, a fine-grain silver bromide photographic emulsion is applied in a dark room. The silver bromide crystals in the emulsion may be reduced by the radiation, and after exposure for a suitable length of time, the grids are developed photographically, resulting in transformation of reduced crystals into small black grains. The position of these grains corresponds with the localization of the radiolabeled drugs within the original sample and can give a quantitative image when measured with an EM. The high spatial resolution of the microscope provides an excellent means of imaging radionuclides in subcellular compartments (Solon, 2015). Rind et al. (2005) used this technique to measure the fate of retrograde-transport of 125I-labeled trophic factors in neonatal rat hypoglossal motoneurons, and were able to visualize individual grains in endosomes, lysosomes and the Golgi apparatus (Figure 2). Grain formation occurs when the emulsion comes into contact with AE, and can therefore be used with AE-emitting radionuclides, such as 111In, 125I, and 67Ga (Puncher and Blower, 1994). Despite the advantages, the technique is used only rarely, which can be attributed mainly to the long processing time (up to several weeks), the appearance of silver grain artifacts that complicate interpretation of results, and the difficult and highly specialized techniques needed to develop the TEM grids (Solon, 2015).
Photoresist Autoradiography
Recently we have developed an autoradiographic technique, PAR (Falzone et al., 2011, 2012; Royle et al., 2015, 2016), based on photoresist lithography that has its origin in integrated electronics (Figure 3; del Campo and Arzt, 2008). This type of lithography is based on the exposure of a photosensitive polymer to AE-emitting radionuclides - vector conjugates, such as 111In-hEGF, which results in the pattern of distribution of the radionuclide being etched onto a polymer film (Royle et al., 2015). An atomic force microscope (AFM) is used to read the 3D-pattern in the resist, which can be used to determine the radiation dose and localization on a single-cell or subcellular level. The spatial resolution is higher than micro-autoradiography, providing an opportunity to quantify radionuclide distribution on a nanometer scale. This detailed spatial information allows a nanoscale radiation absorbed dose map to be generated. A typical experiment involves the exposure of cancer cells to a pharmacon radiolabeled using an AE-emitting isotope. Post-exposure, the cells are washed and air dried. An inverted photoresist is placed directly on top of the cells and incubated for a time roughly equivalent to four half-lives of the specific radionuclide under investigation, allowing the emitted AE to produce spatially-resolved images in poly(methyl methacrylate) (PMMA). The images are converted to a pattern of pits after chemical development, which can be measured following acquisition of AFM images.
Nanoscale Secondary Ion Mass Spectrometry
Nanoscale secondary ion mass spectrometry (NanoSIMS) is a recent development in SIMS technology that is used to image the spatial distribution of elements, such as radionuclides, in biological and non-biological samples. NanoSIMS combines the simultaneous detection of heavy and light elements with an excellent spatial resolution (50 nm; Wedlock et al., 2013). A detailed description of the technique is given by others (Jiang et al., 2016; Nuñez et al., 2017). Briefly, in this technique, a high-energy ion beam (Cs+) is directed across the cell sample surface, causing atom sputtering from the topmost monolayers and resulting in the generation of negative secondary ions. These ions are mass sorted and used to produce a map of the sample surface, which shows the distribution of selected ion species. The images are produced in parallel from the same sputtered volume, allowing them to be in exact register with each other, which is necessary for acquiring quantitative images (Lechene et al., 2006). Quantitative mass images contain a number of counts at each pixel for each selected atomic mass, which is directly proportional to the sample abundance at the specific subcellular location. The high mass resolution facilitates the simultaneous detection of the intracellular distribution of multiple isotopes of the same element, which allows derivation of meaningful isotope ratios. In the case of radionuclides, a ratio higher than the natural sample abundance, which is in almost all cases very low, indicates the subcellular location and the relative excess. The high stability of primary beam, mass spectrometer, detectors, and ion optics results in precise measurements of the sample. The ability to detect stable and radioactive isotopes alike with high resolution makes this a powerful technique for the identification of the subcellular distribution of virtually every type of radionuclide (Lechene et al., 2006). The downsides of the technique are the costly, specialist, and time-consuming sample preparation, as well as its ablative nature, meaning that this technique is not suited for live cell imaging (Gao et al., 2016).
Radioluminescence Microscopy
Radioluminescence microscopy is a recently developed technique that can provide quantitative measurements of β-emitting radionuclide transport on the level of a single live cell (Figure 4; Pratx et al., 2012). Radioluminescence microscopy is based on the use of a scintillator crystal in close proximity to cells. This crystal flashes each time a β-particle or positron is emitted from the underlying cell. The individual flashes can be recorded to reveal the distribution of radiolabeled probes in single cells. The technique can be used qualitatively by using a long exposure (30–300 s) and integrating the optical signals of the many captured decays into an approximate image, or quantitatively, by obtaining many camera frames with short exposure (0.01–0.1 s). The latter requires frame-by-frame processing to extract the precise location of individual decay events, which can be digitally counted and created in a composite image (Kim et al., 2017). This technique has been pioneered by the Pratx group, who has used it in several applications, including to detect 18F-fluoro-deoxyglucose (FDG; Pratx et al., 2012) and 64Cu- and 89Zr-labeled rituximab (Natarajan et al., 2015). Although this technique does not provide the excellent spatial resolution of EM-MAR, it does provide the opportunity to visualize and quantify the (sub-) cellular distribution of radionuclides in live cells.
Microdosimeters
The α-camera, first described by Bäck and Jacobsson (2010), combines autoradiography with a scintillation technique and optical registration using a charge-coupled device (CCD). It measures the activity distribution of α-particle emitters with high resolution (≤35 μm) down to a scale approaching the cellular level by virtue of the short path lengths of the α-particles. Furthermore, the pixel intensity is linearly related to the activity, thus allowing for quantitative analysis of the imaged tissue. Chouin et al. (2013) used an α-camera for the detection and measurement of an 211At radioimmunoconjugate that had been administered to mice with ovarian cancer micrometastases. α-camera imaging showed high uptake and retention at the tumor surface and, by measuring the activity level and the number of tumor cell clusters, it was possible to calculate dose estimates to the micrometastases.
Another microdosimeter, Timepix, takes advantage of recent developments in complementary metal–oxide–semiconductor (CMOS) technology for constructing integrated circuits (Llopart et al., 2007). Timepix consists of a silicon semiconductor layer, divided into an array of pixels, which is bumped-bonded to an electronics integrated layer. Each pixel is connected to an individual charge-sensitive preamplifier, a discriminator, a counter, and a 4-bit digital-to-analog converter (DAC) to adjust the voltage threshold (Llopart et al., 2007; Rügheimer et al., 2008). Timepix directly measures energy deposition from charged particles and photons in real time (Campbell et al., 2007). Its utility in detecting β-particles from a Carbon-14 (14C) sample showed that Timepix was highly sensitive with a minimum detectable activity of 0.0077 Bq and with a spatial resolution of 76.9 μm at full-width at half-maximum (FWHM; Esposito et al., 2011a,b). In another study, Timepix was used to measure α-particle emissions in tumor sections from mice treated with chemotherapy and a radiolabeled DAB4 murine monoclonal antibody [thorium-227 (227Th)-APOMAB] (Darwish et al., 2015). Results showed that the α-particle emissions could be visualized and quantified using the detector (Miller, 2018).
Combining Methods
The radiographic and fractionation techniques described above can provide valuable insights into the subcellular distribution of radionuclides in their own right but additional information may be gained when they are applied in combination. For example, the spatial pattern of radionuclide deposition within cells that is derived from EM-MAR can be combined with radioactivity measurements from fractionation assays to allow the investigator to generate a precise, quantitative map of radionuclide distribution. Another option is to combine a radioactivity-detection assay with a non-radioactive assay, such as confocal microscopy or NanoSIMS (Rbah-Vidal et al., 2017). In one example, the spatial resolution of confocal microscopy was combined with quantitative fractionation assays to determine the subcellular distribution of a Cy3- or 111In-labeled probe targeting γH2AX (Cornelissen et al., 2011). Another example was reported by Gill et al. (2018), who evaluated the subcellular localization of 111In-labeled, EGF-tagged, ruthenium-loaded PLGA nanoparticles through the use of a fractionation assay. By making use of the metal to ligand charge-transfer (MLCT) “light switch” properties of the ruthenium compound, which causes a large increase in photon emission intensity when bound to DNA, it was possible to show that the majority of the nanoparticles remained in the cell cytosol while the ruthenium was also found in the nucleus; a finding confirmed by ICP-MS (inductively coupled plasma mass spectroscopy) analysis.
Subcellular Targets for Radionuclide Therapy
Nucleus
Particulate ionizing radiation can damage biomolecules via one-electron oxidation reactions, the “direct effect,” or via the production of ROS, including superoxide radicals (O2-) and hydrogen peroxide (H2O2), that form the precursors of damaging hydroxyl radicals (·OH), the “indirect effect” (Pouget et al., 2015). The primary target for ionizing radiation is nuclear DNA (Figure 5). Particulate irradiation of the nucleus can damage the DNA indirectly via water radiolysis or directly by one-electron oxidation. These processes can result in DNA single-strand and double-strand breaks (DSBs), as well as DNA crosslinks and DNA base damage. If this damage goes unrepaired, cell death by mitotic catastrophe or apoptosis is triggered (Pouget et al., 2015). Therefore, to exploit the optimal effect of TRT, cancer-specific nuclear targeting is of interest to the research community. Several investigators have developed approaches to bring radionuclides in close proximity to cancer cell DNA. Strategies involve direct targeting of the DNA, sex steroid receptors (SSRs; androgen, estrogen), and nuclear trafficking cell surface receptors (EGFR, HER2). Furthermore, subnuclear targeting has been achieved by binding nuclear proteins (γH2AX, telomerase), and the nucleolus (Cornelissen, 2014). The following section summarizes recent advances in the area of targeting subcellular compartments (Table 3).
Table 3.
Target | Radiolabeled pharmacon | Source |
---|---|---|
Nucleus – DNA | 125I-UDR | Kortylewicz et al., 2012 |
125I- and 99mTc-labeled acridine orange derivatives | Pereira et al., 2017 | |
99mTc-labeled pyrene derivates | Häfliger et al., 2005; Reissig et al., 2016 | |
99mTc-labeled doxorubicin | Imstepf et al., 2015 | |
125I-labeled daunarubicin in HER2-targeted liposomes | Fondell et al., 2011 | |
99mTc-labeled DAPI | Kotzerke et al., 2014 | |
125I- and 111In-labeled TFOs | Dahmen and Kriehuber, 2012; Dahmen et al., 2016, 2017 | |
Nucleus – nuclear proteins | 111In-labeled anti-γH2AX antibody | Cornelissen et al., 2012, 2013 |
123I-MST-312 | Waghorn et al., 2017 | |
Nucleus – SSRs | 123I-labeled estrogen analogs | DeSombre et al., 1992, 2000 |
123I-, 125I-, and 131I-labeled diethylstilbestrol | Fischer et al., 2008 | |
111In-labeled LXXLL-based peptide | Vultos et al., 2017 | |
125I-IVME2 | Yasui et al., 2001 | |
5-125I-3’-O-(17β-succinyl-5α-androstan-3-one)-2’-deoxyuridine monophosphate | Kortylewicz et al., 2012; Han et al., 2014 | |
Nucleus – trafficking cell surface receptors | 111In-labeled nimotuzumab | Fasih et al., 2012 |
111In-labeled hEGF | Cai and Chen, 2008; Vallis et al., 2014 | |
67Ga-,111In- and 125I-labeled MNT targeting EGFR, folate or melanocortin receptor | Slastnikova et al., 2012, 2017a,b; Koumarianou et al., 2014 | |
125I-labeled monoclonal antibody 425 | Quang and Brady, 2004 | |
111In-trastuzumab | Costantini et al., 2007, 2008 | |
Methotrexate-loaded BCM conjugated to 111In, an NLS, and trastuzumab Fab fragments | Hoang et al., 2012 | |
131I-labeled anti-HER2 nanobody | D’Huyvetter et al., 2017 | |
125I-,131I-labeled anti-HER2 nanobody | Pruszynski et al., 2014 | |
177I-labeled anti-HER2 nanobody | D’Huyvetter et al., 2012 | |
Mitochondria | 177Lu-porphyrin-PEG nanocomplexes | Yu et al., 2018 |
99mTc-HMPAO (speculative) | Maucksch et al., 2016 | |
Cell membrane | 125I-labeled anti-CEA monoclonal antibody | Pouget et al., 2008; Santoro et al., 2009; Paillas et al., 2016 |
Endosomes | 177Lu-PSMA-617 | Rahbar et al., 2017 |
225Ac-PSMA-617 | Kratochwil et al., 2018 | |
225Ac-PSMA lipid vesicles | Zhu et al., 2016 | |
211At-YC-I-27 | Kiess et al., 2016 | |
125I-DCIBzL | Kiess et al., 2015 | |
177Lu-DOTATATE | Strosberg et al., 2017 | |
DNA-Binding Agents
Small molecules are able to bind DNA by a range of covalent and non-covalent binding modes and represent one of the most heavily studied class of anti-cancer agents. In addition, many function as fluorescent DNA dyes, and so provide a convenient means of obtaining intracellular localization information. The effect of AE-emitters on cell survival was first studied with molecules that can be incorporated in to the DNA, such as 125I-UDR. These studies provided valuable knowledge that illuminated the inverse relationship between AE-emitter distance to the DNA and DNA damage and cell kill (Kortylewicz et al., 2012). Since then, several small molecule DNA intercalators have been proposed as nuclear-targeting agents for AE-emitting radionuclides, such as radiolabeled derivatives of acridine orange (Pereira et al., 2017), pyrene (Häfliger et al., 2005; Reissig et al., 2016), doxorubicin (Imstepf et al., 2015), and daunorubicin (Fondell et al., 2011). Acridine orange is a cell-permeable molecule with anticancer drug and radiosensitizing properties. Pereira et al. (2017) radiolabeled several analogs with the AE-emitters 99mTc and 125I and demonstrated that both compounds homed to the nucleus, resulting in an increased number of DSBs. The Alberto group explored the effect of 99mTc-labeled pyrene-NLS (SV40 NLS peptide) conjugates on cell survival and found that these compounds exhibited a DNA damaging effect, leading to mitotic catastrophe (Haefliger et al., 2005). Reissig et al. (2016) synthesized related pyrene constructs with 99mTc-labeled alkyne groups of variable length. In cell-free studies, they showed a decrease in DNA damage when the distance between the intercalating moiety was increased from 0.3 to 1.5 nm, clearly demonstrating the need for close association with DNA molecules for AE-generated DNA lesion formation. Similarly, Kotzerke et al. (2014) radiolabeled DAPI, a dual groove-binder, intercalator and commonly employed DNA dye, with 99mTc. In related work, the anthracycline doxorubicin, a widely used topoisomerase II inhibitor and DNA intercalating chemotherapeutic, was conjugated to 99mTc to enhance its potency and diagnostic potential (Imstepf et al., 2015). It was shown that the conjugate was readily taken up by the nucleus, caused extensive DNA damage, and exhibited a dose-dependent reduction in cell survival in several cancer cell lines. Further characterization with SPECT in nude mice revealed that 99mTc-labeled doxorubicin had a similar pharmacokinetic profile as unlabeled doxorubicin, but no further in vivo efficacy studies were performed. Fondell et al. (2011) developed an 125I-labeled variant of another anthracycline, daunorubicin, and encapsulated it in HER2-targeting liposomes. This dual delivery formulation, in which HER2 targeting is used for cancer-specificity and DNA targeting to bring the AE-emitter in close proximity to its target, resulted in a high cellular uptake and significant dose-dependent reduction in cellular survival. An additional option that has been explored for targeting of cancer cell DNA is the use of triplex forming oligonucleotides (TFO), site-specific molecules that bind to the major groove of duplex DNA to form a triplex helix. Several studies by Dahmen and Kriehuber (2012) and Dahmen et al. (2016, 2017) have demonstrated that TFOs can be readily labeled with radionuclides, such as 125I and 111In, and that these conjugates can exert site- and sequence-specific DNA damage in cancer cells.
Nuclear Protein Targeting Agents
The nucleus not only contains DNA, but also harbors many proteins that are essential for genome expression and integrity (Cornelissen, 2014). Targeting these proteins can be exploited in TRT. One example is the development of an 111In-labeled antibody against γH2AX, the phosphorylated product of H2AX that forms high density foci around DNA DSBs. Cornelissen et al. (2012, 2013) demonstrated that conjugation of anti-γH2AX to the cell penetrating peptide, Tat, which is derived from the human immunodeficiency virus and contains a nuclear localizing sequence (NLS), led to increased cellular and nuclear uptake compared to non-modified antibody. Enhanced uptake of the radiolabeled Tat-modified antibody resulted in a dose-dependent reduction in clonogenic survival. Inhibition of tumor growth was seen in xenograft-bearing mice, in particular when the tumor was pre-treated with external beam radiation to induce intratumoral γH2AX expression. Furthermore, the difference in uptake between tumor and normal tissue was high enough to visualize the tumor site by SPECT, indicating the potential of this radioimmunoconjugate as a theranostic. Waghorn et al. (2017) reported the use of 123I-labeled small molecule inhibitors of telomerase, a ribonucleoprotein involved in telomere lengthening and cancer cell immortality. It was shown that 123I-MST-312, a derivate of the flavonoid epicatechin, inhibited telomerase and had a favorable uptake and nuclear distribution pattern, which resulted in a telomerase- and radioactive dose-dependent reduction in clonogenic survival after 24 h of treatment.
Sex Steroid Receptor Targeting Agents
Sex steroid receptors are a subclass of steroid hormone receptors that bind androgens, estrogens, and progestogens. SSRs play a pivotal role in the development and progression of malignancies, such as prostate cancer [androgen receptor (AR; Heinlein and Chang, 2004), and breast cancer (estrogen receptor (ER)/progesterone receptor (PR; Brisken, 2013; Turner et al., 2017]. Natural ligands of SSRs pass the cell membrane by simple or facilitated diffusion due to their lipophilic nature. Once the molecules are internalized, they associate with receptors in the cytosol or nucleus, following which these receptor–ligand complexes act as transcription factors for various genes. Because of their nuclear localization, SSRs have been exploited as targets for therapy with AE-emitters (Aranda and Pascual, 2001). An early experiment was conducted by DeSombre et al. (1992), who showed that 123I-labeled estrogen analogs result in a significant reduction in clonogenic survival of ER expressing cells. DeSombre and others subsequently evaluated various radiolabeled agents for the treatment of cancer, including 123I- and 111In-labeled analogs of estrogen and diethylstilboestrol, a non-steroid ER agonist (DeSombre et al., 2000; Yasui et al., 2001; Fischer et al., 2008; Vultos et al., 2017). Kortylewicz et al. (2012) developed an interesting hybrid molecule that exploits dual AR targeting and S-phase specific cell kill by linking 5α-dihydrotestosterone with 5-radioiodo-2′-deoxyuridine. They showed that this drug is initially trapped in the cytoplasm but associates exclusively with nuclear DNA after 24 h. A relatively low dose of radioactivity resulted in a reduction in clonogenic survival dependent on the expression of AR (Kortylewicz et al., 2012; Han et al., 2014).
Trafficking Cell Surface Receptor Targeting Agents
Another approach to DNA targeting is to use the nuclear trafficking properties of cell surface receptors. Although not a dominant internalization pathway, several cell surface receptors translocate to the nucleus upon ligand binding where they can act as transcription factors. Of particular interest are members of the human epidermal growth factor receptor (EGFR) family that contain NLS in the transmembrane region. Researchers, in particular the Reilly group, have exploited this concept for the nuclear targeting of AE-emitters (Aghevlian et al., 2017). The most prominently exploited target is EGFR, which is frequently overexpressed in cancer and associated with poor prognosis. Non-canonical nuclear trafficking of the receptor results in the activation of cyclin D1 and NOS, a function that is enabled by its NLS (RRRHIVRKRTLLR; Wang et al., 2010). Researchers have shown efficient cellular and nuclear uptake of 111In-labeled anti-EGFR immunoconjugates with and without NLS-conjugation, which resulted in effective cell kill and localization at the tumor site as visualized by SPECT in EGFR-overexpressing breast cancer MDA-MB-468 xenografts (Fasih et al., 2012). A similar effect was seen for 111In-labeled hEGF, that caused toxicity in cells that expressed a high number of EGFR, but not in cells with a low number of EGFR (Cai et al., 2008). Both antibody (Quang and Brady, 2004) and peptide (Vallis et al., 2014) EGFR-targeting vectors have been progressed into Phase I clinical trials, and showed the capacity to home to the tumor. This topic has been recently reviewed by Aghevlian et al. (2017). Recently, researchers have tried to further increase nuclear localization by nanoparticulate approaches, such as gold nanoparticles (Song et al., 2016) and modular nanotransporters (MNTs; Koumarianou et al., 2014). The latter strategy utilized an ingenious nanosystem, developed by Gilyazova et al. (2006), consisting of the translocation domain of diphtheria toxin (endosome escape module), an Escherichia coli hemoglobin-like protein (carrier module), an SV40 large T-antigen NLS peptide (nuclear import), and hEGF (ligand module), and the construct was labeled with 67Ga. They showed superior uptake and cytotoxicity over 67Ga-hEGF, which was attributed to improved nuclear retention. This MNT has been used with various other ligand modules (melanocortin receptor and folate receptor ligands) and radionuclides (111In, 125I) (Slastnikova et al., 2012, 2017a,b), and has recently been reviewed by Sobolev (2018).
A second member of the EGFR family, human EGF receptor 2 (HER2), has also been explored as a radio-theranostic target. HER2 is internalized relatively slowly and transported to the nucleus upon binding of ligands such as trastuzumab due to its NLS (KRRQQKIRKYTMRR; Giri et al., 2005). The Reilly group has extensively exploited this mechanism in combination with AE-emitter 111In (Costantini et al., 2007, 2008). They showed that 111In-trastuzumab elicited significant induction of DNA DSBs and a marked reduction of clonogenic survival. The group also exploited other vectors, such as methotrexate-loaded block copolymer micelles (BCMs) conjugated to 111In, an NLS (CGYGPKKKRKVGG), and trastuzumab Fab fragments. Importantly, they showed that NLS conjugation resulted in a significant increase in nuclear uptake, which led to an improved anti-proliferative effect in comparison to BCMs without NLS, highlighting the importance of subcellular targeting of AE-emitters (Hoang et al., 2012). Studies by D’Huyvetter et al. (2012, 2014, 2017) and Pruszynski et al. (2014) focused on the development of nanobodies, Camelidiae derived antibody fragments that are stable, small, and exceptionally specific for their target, HER2. The researchers have labeled these nanobodies with various radionuclides, including 125I, 131I, or 177Lu. It was shown that 131I-labeled nanobodies have potential as theranostics by HER2-specific cancer cell binding and internalization, resulting in a significant extension of the median survival in BT474/M1 tumor xenografted mice (D’Huyvetter et al., 2017).
Mitochondria
Although the current paradigm in radiobiology posits that nuclear DNA is the primary target for ionizing radiation, recent studies provide evidence that extranuclear radiation can have detrimental effects on cell viability as well. The mitochondria have emerged as an interesting but relatively understudied extranuclear target. Circular mitochondrial DNA, like genomic DNA, is sensitive to the ionizing radiation-induced damage. Besides this, some investigators have suggested that ionizing radiation can alter mitochondrial function, induce mitochondrial oxidative stress, and cause mitochondrial-induced apoptosis (Kam and Banati, 2013). An elegant study by Yu et al. (2018) demonstrated this concept with mitochondria-targeting 177Lu-porphyrin-PEG nanocomplexes. It was shown that these nanoconstructs, containing the radionuclide 177Lu and a photosensitizer, caused an increase in ROS and a reduction in cell viability, in particular when combined with photodynamic therapy. The treatment with and without photodynamic therapy also resulted in a significant tumor growth reduction. Other researchers, such as Maucksch et al. (2016), found indirect evidence of such an effect. They compared the radiotoxicity of three 99mTc-labeled pharmacons with differences in subcellular distribution and found that clonogenic survival was not exclusively determined by the DNA DSB response. They therefore speculated that the observed difference in clonogenic survival of three vectors of 99mTc was the result of a differential mitochondrial accumulation.
Cell Membrane
Ionizing radiation has detrimental effects on the cell membrane. Hydroxyl radical molecules that are formed as a result of irradiation can attack polyunsaturated fatty acid residues of phospholipids that constitute the cell membrane, leading to the formation of mutagenic malondialdehyde and 4-hydroxynonenal. Furthermore, ionizing radiation is known to activate acid sphingomyelinase, which hydrolyses cell membrane sphingomyelin to produce phosphoryl choline and ceramide. Ceramide is a second messenger for cell apoptosis, and essential for the formation of lipid rafts, which are ceramide-enriched platforms that contain signaling and transport proteins involved in MAPK signaling and sustained ROS and reactive nitrogen species (RNS) production (Pouget et al., 2015). The Pouget group has published several papers in which they have explored the concept of radionuclide-induced cell membrane damage (Pouget et al., 2008; Santoro et al., 2009; Paillas et al., 2016). In one study, a non-internalizing 125I-labeled monoclonal antibody against carcinoembryonic antigen (CEA) was compared to an internalizing antibody against EGFR. It was found that internalization is not a prerequisite for effective treatment with AE-emitters in vitro and in vivo, indicating non-DNA targeting effects (Pouget et al., 2008; Santoro et al., 2009). Paillas et al. (2016) extended this work and demonstrated that the efficacy of the 125I-labeled antibody was associated with various factors involved in or affected by the stability of lipid rafts.
Endosomes and Lysosomes
The targeting of receptor-mediated endocytosis with vectors directed against cell membrane receptors is a strategy that is often used in TRT. Binding of an agonist to its receptor can lead to clathrin-mediated internalization via the formation of plasma membrane vesicles. These vesicles typically fuse into early endosomes, and are subsequently sorted to be recycled, degraded via lysosomes, or modified more specifically in the trans Golgi network (TGN; Scott et al., 2014; Kaksonen and Roux, 2018). Internalization of the receptor–agonist complex provides an opportunity for protracted irradiation of the cell due to retention, as well as the advantage of being closer to sensitive organelles such as the nucleus and mitochondria. The construct lifespan in the endocytic pathway can vary between vectors. For instance, EGF-EGFR complexes are degraded within 5 h, whereas certain nanoparticulate formulations can take days (Song et al., 2015; Dutta et al., 2016). These differences impact the efficacy of the treatment and should therefore be taken into consideration when selecting radionuclides with suitable half-lives.
Two extensively researched TRT targets, PSMA and the somatostatin receptor, exploit this concept. PSMA is a transmembrane glycoprotein that is frequently overexpressed in prostate cancer. Various radiolabeled PSMA-binding peptides and antibodies have been developed for diagnosis and treatment and have been shown to internalize upon receptor association. Targeting PSMA with 177Lu-labeled ligands has been particularly successful in the clinic (Eiber et al., 2017), as it is associated with relatively few side effects, a high frequency of objective tumor responses, and a decline in prostate specific antigen (PSA) level (Rahbar et al., 2017). More recently, it has been shown that treatment with 225Ac-labeled PSMA-binding peptide resulted in tumor control in a cohort of 40 patients (Kratochwil et al., 2018). Interestingly, a study by Zhu et al. (2016) demonstrated that the internalization pattern of 225Ac-PSMA could be changed by conjugation of PSMA ligand to nanovesicles compared to the PSMA ligand alone. It was found that the nano-conjugated PMSA ligand localized in the perinuclear region, whereas PSMA ligand itself remained close to the cell membrane. This perinuclear accumulation translated into a threefold higher cytotoxicity for a given amount of internalized radioactivity, indicating the relevance of subcellular targeting with α-emitters. Other notable examples include the use of 211At- and 125I-PSMA ligand conjugates, which have shown tumor growth inhibition in vivo (Kiess et al., 2015, 2016).
The somatostatin receptor family is upregulated in neuroendocrine tumors and has been evaluated as a target for TRT for over 25 years. As for PMSA, the receptor–ligand complex internalizes upon binding, allowing the payload to irradiate from inside vesicles and lysosomes. The best characterized compound is 177Lu-DOTATATE, which has recently shown an impressive increase in progression-free survival and at 20 months in patients with mid-gut neuroendocrine tumors in a phase III clinical trial (65.2% in the 177Lu-DOTATATE group versus 10.8% in the control group; Strosberg et al., 2017).
Although DNA is viewed as the primary target for the radiotoxic effects of TRT that bind surface receptor ligands, their internalization can have effects on other structures, including components of the endocytic pathway. Lysosomes are membrane-bound round-spherical vesicles containing hydrolytic enzymes that break down a variety of molecules. As for the cell membrane, the phospholipid layer separating the lysosome content from the cytosol is sensitive to attacks from reactive hydroxyl radicals. Since the majority of intracellular redox-active iron resides in lysosomes, H2O2 formation may result in labile lysosomes that release lytic enzymes and low mass iron, which can contribute to apoptotic/necrotic death upon prolonged exposure (Persson et al., 2005).
Concluding Remarks
A discussion about subcellular targeting for therapeutic advantage would not be complete without a consideration of the potential risks associated with unintentional and non-specific accumulation in normal tissue (Howell, 2011). It is well documented that the risks associated with low dose and low dose rate exposures encountered in diagnostic nuclear medicine are minimal (ICRP, 2007). However, the inherent risks associated with therapeutic nuclear medicine procedures are inevitably higher. In this regard, the toxicity of a given radiopharmaceutical has to be considered on an individual basis taking into account the dose, dose rate, radiation spectra, and subcellular distribution. It is evident that the highly non-uniform distribution of radionuclides among cell populations has a profound impact on the associated toxicity of a given radiopharmaceutical and that this effect applies to normal as well as malignant tissue.
In the past 10 years, the clinical value of TRT has been demonstrated for the treatment of various cancer indications, resulting in a 38% increase in their use in the United Kingdom between 2007 and 2012 (Rojas et al., 2015; Gill et al., 2017). Given the positive clinical trial results for 177Lu-DOTATATE and 177Lu-PMSA ligands, the use of TRT in cancer medicine is likely to expand. This should support development of the clinical expertise and infrastructure needed for adoption of new agents into clinical practice. Using radionuclides that are specifically targeted to subcellular structures can greatly improve the efficacy and safety of TRT, and may therefore be an attractive avenue to explore. Many cancer-specific targets reside intracellularly and opening the potential to target these with TRT is predicted to provide a welcome opportunity for the treatment and imaging of cancer.
In this review, we have described the importance of adequate subcellular targeting, and how novel radiopharmaceuticals can be characterized according to their distribution in subcellular compartments. In reality, many drugs will home to several different organelles, complicating the analysis of which are the critical targets. The development of novel subcellular TRT goes hand-in-hand with improvements in techniques to image and determine their exact cellular localization and mechanism of action. The techniques highlighted here provide a good indication of the variation in radionuclide distribution but lack the option to image and measure the localization and effects in live cells with high spatial resolution. Efforts aimed to address this could have far reaching effects for the maturation of the field of targeted subcellular radionuclide therapy.
Author Contributions
BB, BL, MG, NF, and KV contributed to the ideas and structure of the paper. BB and MG wrote the introduction. BB, BL, and NF developed the radiobiology and methods of detection section. BB and MG wrote the subcellular targets for radionuclide therapy section. BB and NF wrote the conclusion. BL and NF performed the simulations. KV supervised the project, developed ideas, and edited the final manuscript. All authors discussed the paper and contributed to the final manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
Funding. This work was supported by grants from Cancer Research UK (CRUK) (C5255/A15935), the Medical Research Council (MRC) (MC_PC_12004), the EPSRC Oxford Centre for Drug Delivery Devices (EP/L024012/1), and the CRUK Oxford Centre.
References
- Ackerman N. L., de la Fuente Rosales L., Falzone N., Vallis K. A., Bernal M. A. (2018). Targeted alpha therapy with 212Pb or 225Ac: change in RBE from daughter migration. Phys. Med. 10.1016/j.ejmp.2018.05.020 [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- Aghevlian S., Boyle A. J., Reilly R. M. (2017). Radioimmunotherapy of cancer with high linear energy transfer (LET) radiation delivered by radionuclides emitting α-particles or Auger electrons. Adv. Drug Deliv. Rev. 109 102–118. 10.1016/j.addr.2015.12.003 [DOI] [PubMed] [Google Scholar]
- Alberts B., Johnson A., Lewis J., Raff M., Roberts K., Walter P. (2002). “Fractionation of cells,” in Molecular Biology of the Cell, ed. Drubin D. (New York, NY: Garland Sciences; ). [Google Scholar]
- Aranda A., Pascual A. (2001). Nuclear hormone receptors and gene expression. Physiol. Rev. 81 1269–1304. 10.1152/physrev.2001.81.3.1269 [DOI] [PubMed] [Google Scholar]
- Bäck T., Jacobsson L. (2010). The alpha-camera: a quantitative digital autoradiography technique using a charge-coupled device for ex vivo high-resolution bioimaging of alpha-particles. J. Nucl. Med. 51 1616–1623. 10.2967/jnumed.110.077578 [DOI] [PubMed] [Google Scholar]
- Berger M. J., Coursey J. S., Zucker M. A., Chang J. (2005). ESTAR, PSTAR, and ASTAR: Computer Programs for Calculating Stopping-Power and Range Tables for Electrons, Protons, and Helium Ions. Available at: http://physics.nist.gov/Star [accessed July 31 2018]. [Google Scholar]
- Boyd M., Ross S. C., Dorrens J., Fullerton N. E., Tan K. W., Zalutsky M. R., et al. (2006). Radiation-induced biologic bystander effect elicited in vitro by targeted radiopharmaceuticals labeled with alpha-, beta-, and auger electron-emitting radionuclides. J. Nucl. Med. 47 1007–1015. [PubMed] [Google Scholar]
- Brady D., O’Sullivan J. M., Prise K. M. (2013). What is the role of the bystander response in radionuclide therapies? Front. Oncol. 3:215. 10.3389/fonc.2013.00215 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brisken C. (2013). Progesterone signalling in breast cancer: a neglected hormone coming into the limelight. Nat. Rev. Cancer 13 385–396. 10.1038/nrc3518 [DOI] [PubMed] [Google Scholar]
- Cai W., Chen X. (2008). Multimodality molecular imaging of tumor angiogenesis. J. Nucl. Med. 49(Suppl. 2), 113S–128S. 10.2967/jnumed.107.045922 [DOI] [PubMed] [Google Scholar]
- Cai Z., Chen Z., Bailey K. E., Scollard D. A., Reilly R. M., Vallis K. A. (2008). Relationship between induction of phosphorylated H2AX and survival in breast cancer cells exposed to 111In-DTPA-hEGF. J. Nucl. Med. 49 1353–1361. 10.2967/jnumed.108.051805 [DOI] [PubMed] [Google Scholar]
- Campbell M., Havranek V., Heijne E., Holy T., Idarraga J., Jakubek J., et al. (2007). “Charge collection from proton and alpha particle tracks in silicon pixel detector devices,” in Paper Presented at the IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium, (Honolulu, HI: IEEE; ),1047–1050. 10.1109/NSSMIC.2007.4437190 [DOI] [Google Scholar]
- Chen P., Wang J., Hope K., Jin L., Dick J., Cameron R., et al. (2006). Nuclear localizing sequences promote nuclear translocation and enhance the radiotoxicity of the anti-CD33 monoclonal antibody HuM195 labeled with 111In in human myeloid leukemia cells. J. Nucl. Med. 47, 827–836. [PubMed] [Google Scholar]
- Chouin N., Lindegren S., Frost S. H. L., Jensen H., Albertsson P., Hultborn R., et al. (2013). Ex vivo activity quantification in micrometastases at the cellular scale using the α-camera technique. J. Nucl. Med. 54 1347–1353. 10.2967/jnumed.112.113001 [DOI] [PubMed] [Google Scholar]
- Cornelissen B. (2014). Imaging the inside of a tumour: a review of radionuclide imaging and theranostics targeting intracellular epitopes. J. Labelled Comp. Radiopharm. 57 310–316. 10.1002/jlcr.3152 [DOI] [PubMed] [Google Scholar]
- Cornelissen B., Darbar S., Kersemans V., Allen D., Falzone N., Barbeau J., et al. (2012). Amplification of DNA damage by a γH2AX-targeted radiopharmaceutical. Nucl. Med. Biol. 39 1142–1151. 10.1016/j.nucmedbio.2012.06.001 [DOI] [PubMed] [Google Scholar]
- Cornelissen B., Kersemans V., Darbar S., Thompson J., Shah K., Sleeth K., et al. (2011). Imaging DNA damage in vivo using gamma H2AX-targeted immunoconjugates. Cancer Res. 71 4539–4549. 10.1158/0008-5472.CAN-10-4587 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cornelissen B., Waller A., Able S., Vallis K. A. (2013). Molecular radiotherapy using cleavable radioimmunoconjugates that target EGFR and γH2AX. Mol. Cancer Ther. 12 2472–2482. 10.1158/1535-7163.MCT-13-0369 [DOI] [PubMed] [Google Scholar]
- Costantini D. L., Bateman K., McLarty K., Vallis K. A., Reilly R. M. (2008). Trastuzumab-resistant breast cancer cells remain sensitive to the auger electron-emitting radiotherapeutic agent 111In-NLS-trastuzumab and are radiosensitized by methotrexate. J. Nucl. Med. 49 1498–1505. 10.2967/jnumed.108.051771 [DOI] [PubMed] [Google Scholar]
- Costantini D. L., Chan C., Cai Z., Vallis K. A., Reilly R. M. (2007). 111In-labeled trastuzumab (Herceptin) modified with nuclear localization sequences (NLS): an Auger electron-emitting radiotherapeutic agent for HER2/neu-amplified breast cancer. J. Nucl. Med. 48 1357–1368. 10.2967/jnumed.106.037937 [DOI] [PubMed] [Google Scholar]
- Dahmen V., Kriehuber R. (2012). Cytotoxic effects and specific gene expression alterations induced by I-125-labeled triplex-forming oligonucleotides. Int. J. Radiat. Biol. 88 972–979. 10.3109/09553002.2012.702298 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dahmen V., Pomplun E., Kriehuber R. (2016). Iodine-125-labeled DNA-Triplex-forming oligonucleotides reveal increased cyto- and genotoxic effectiveness compared to Phosphorus-32. Int. J. Radiat. Biol. 92 679–685. 10.3109/09553002.2016.1160157 [DOI] [PubMed] [Google Scholar]
- Dahmen V., Schmitz S., Kriehuber R. (2017). Induction of the chromosomal translocation t(14;18) by targeting the BCL-2 locus with specific binding I-125-labeled triplex-forming oligonucleotides. Mutat. Res. 823 58–64. 10.1016/j.mrgentox.2017.09.002 [DOI] [PubMed] [Google Scholar]
- Darwish R. A., Staudacher A. H., Bezak E., Brown M. P. (2015). Autoradiography imaging in targeted alpha therapy with Timepix detector. Comput. Math. Methods Med. 2015:612580. 10.1155/2015/612580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dekempeneer Y., Keyaerts M., Krasniqi A., Puttemans J., Muyldermans S., Lahoutte T., et al. (2016). Targeted alpha therapy using short-lived alpha-particles and the promise of nanobodies as targeting vehicle. Expert Opin. Biol. Ther. 16 1035–1047. 10.1080/14712598.2016.1185412 [DOI] [PMC free article] [PubMed] [Google Scholar]
- del Campo A., Arzt E. (2008). Fabrication approaches for generating complex micro- and nanopatterns on polymeric surfaces. Chem. Rev. 108 911–945. 10.1021/cr050018y [DOI] [PubMed] [Google Scholar]
- DeSombre E. R., Hughes A., Hanson R. N., Kearney T. (2000). Therapy of estrogen receptor-positive micrometastases in the peritoneal cavity with Auger electron-emitting estrogens–theoretical and practical considerations. Acta Oncol. 39 659–666. 10.1080/028418600750063695 [DOI] [PubMed] [Google Scholar]
- DeSombre E. R., Shafii B., Hanson R. N., Kuivanen P. C., Hughes A. (1992). Estrogen receptor-directed radiotoxicity with Auger electrons: specificity and mean lethal dose. Cancer Res. 52 5752–5758. [PubMed] [Google Scholar]
- D’Huyvetter M., Aerts A., Xavier C., Vaneycken I., Devoogdt N., Gijs M., et al. (2012). Development of 177Lu-nanobodies for radioimmunotherapy of HER2-positive breast cancer: evaluation of different bifunctional chelators. Contrast Media Mol. Imaging 7 254–264. 10.1002/cmmi.491 [DOI] [PubMed] [Google Scholar]
- D’Huyvetter M., De Vos J., Xavier C., Pruszynski M., Sterckx Y. G. J., Massa S., et al. (2017). 131I-labeled anti-HER2 camelid sdAb as a theranostic tool in cancer treatment. Clin. Cancer Res. 23 6616–6628. 10.1158/1078-0432.CCR-17-0310 [DOI] [PMC free article] [PubMed] [Google Scholar]
- D’Huyvetter M., Xavier C., Caveliers V., Lahoutte T., Muyldermans S., Devoogdt N. (2014). Radiolabeled nanobodies as theranostic tools in targeted radionuclide therapy of cancer. Expert Opin. Drug Deliv. 11 1939–1954. 10.1517/17425247.2014.941803 [DOI] [PMC free article] [PubMed] [Google Scholar]
- D’Souza G. G. M., Weissig V. (2009). Subcellular targeting: a new frontier for drug-loaded pharmaceutical nanocarriers and the concept of the magic bullet. Expert Opin. Drug Deliv. 6 1135–1148. 10.1517/17425240903236101 [DOI] [PubMed] [Google Scholar]
- Dutta S., Roy S., Polavaram N. S., Stanton M. J., Zhang H., Bhola T., et al. (2016). Neuropilin-2 regulates endosome maturation and EGFR trafficking to support cancer cell pathobiology. Cancer Res. 76 418–428. 10.1158/0008-5472.CAN-15-1488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eckerman K. F., Endo A. (2007). MIRD Radionuclide Data and Decay Schemes. Available at: http://inis.iaea.org/Search/search.aspx?orig_q=RN:43110801 [accessed July 31 2018]. [Google Scholar]
- Eiber M., Fendler W. P., Rowe S. P., Calais J., Hofman M. S., Maurer T., et al. (2017). Prostate-specific membrane antigen ligands for imaging and therapy. J. Nucl. Med. 58 67S–76S. 10.2967/jnumed.116.186767 [DOI] [PubMed] [Google Scholar]
- Esposito M., Jakubek J., Mettivier G., Pospisil S., Russo P., Solc J. (2011a). Energy sensitive Timepix silicon detector for electron imaging. Nucl. Instrum. Methods Phys. 652 458–461. 10.1088/0031-9155/60/13/5261 [DOI] [PubMed] [Google Scholar]
- Esposito M., Mettivier G., Russo P. (2011b). 14C autoradiography with an energy-sensitive silicon pixel detector. Phys. Med. Biol. 56 1947–1965. 10.1088/0031-9155/56/7/003 [DOI] [PubMed] [Google Scholar]
- Falzone N., Fernández-Varea J. M., Flux G., Vallis K. A. (2015). Monte Carlo evaluation of Auger electron-emitting theranostic radionuclides. J. Nucl. Med. 56 1441–1446. 10.2967/jnumed.114.153502 [DOI] [PubMed] [Google Scholar]
- Falzone N., Lee B. Q., Fernández-Varea J. M., Kartsonaki C., Stuchbery A. E., Tibor Kibédi, et al. (2017). Absorbed dose evaluation of Auger electron-emitting radionuclides: impact of input decay spectra on dose point kernels and S -values. Phys. Med. Biol. 62 2239. 10.1088/1361-6560/aa5aa4 [DOI] [PubMed] [Google Scholar]
- Falzone N., Myhra S., Chakalova R., Royle G., Altebaeumer T., Nathan R., et al. (2012). Photoresists as a high spatial resolution autoradiography substrate for quantitative mapping of intra- and sub-cellular distribution of Auger electron emitting radionuclides. Int. J. Radiat. Biol. 88 933–940. 10.3109/09553002.2012.716927 [DOI] [PubMed] [Google Scholar]
- Falzone N., Nathan R., Myhra S., Chakalova R., Altebaeumer T., Vallis K. (2011). Chemically amplified photoresist for high resolution autoradiography in targeted radiotherapy. Biomaterials 32 6138–6144. 10.1016/j.biomaterials.2011.05.005 [DOI] [PubMed] [Google Scholar]
- Fasih A., Fonge H., Cai Z., Leyton J. V., Tikhomirov I., Done S. J., et al. (2012). 111In-Bn-DTPA-nimotuzumab with/without modification with nuclear translocation sequence (NLS) peptides: an Auger electron-emitting radioimmunotherapeutic agent for EGFR-positive and trastuzumab (Herceptin)-resistant breast cancer. Breast Cancer Res. Treat. 135 189–200. 10.1007/s10549-012-2137-y [DOI] [PubMed] [Google Scholar]
- Fischer T., Schomacker K., Schicha H. (2008). Diethylstilbestrol (DES) labeled with Auger emitters: potential radiopharmaceutical for therapy of estrogen receptor-positive tumors and their metastases? Int. J. Radiat. Biol. 84 1112–1122. 10.1080/09553000802499238 [DOI] [PubMed] [Google Scholar]
- Fondell A., Edwards K., Unga J., Kullberg E., Park J. W., Gedda L. (2011). In vitro evaluation and biodistribution of HER2-targeted liposomes loaded with an 125I-labelled DNA-intercalator. J. Drug Target. 19 846–855. 10.3109/1061186X.2011.589436 [DOI] [PubMed] [Google Scholar]
- Gao D., Huang X., Tao Y. (2016). A critical review of NanoSIMS in analysis of microbial metabolic activities at single-cell level. Crit. Rev. Biotechnol. 36 884–890. 10.3109/07388551.2015.1057550 [DOI] [PubMed] [Google Scholar]
- Gill M. R., Falzone N., Du Y., Vallis K. A. (2017). Targeted radionuclide therapy in combined-modality regimens. Lancet Oncol. 18 e414–e423. 10.1016/S1470-2045(17)30379-0 [DOI] [PubMed] [Google Scholar]
- Gill M. R., Menon J. U., Jarman P. J., Owen J., Skaripa-Koukelli I., Able S., et al. (2018). 111In-labelled polymeric nanoparticles incorporating a ruthenium-based radiosensitize for EGFR-targeted combination therapy in oesophageal cancer cells. Nanoscale 10 10596–10608. 10.1039/c7nr09606b [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gilyazova D. G., Rosenkranz A. A., Gulak P. V., Lunin V. G., Sergienko O. V., Khramtsov Y. V., et al. (2006). Targeting cancer cells by novel engineered modular transporters. Cancer Res. 66 10534–10540. 10.1158/0008-5472.CAN-06-2393 [DOI] [PubMed] [Google Scholar]
- Giri D. K., Ali-Seyed M., Li L.-Y., Lee D.-F., Ling P., Bartholomeusz G., et al. (2005). Endosomal transport of ErbB-2: mechanism for nuclear entry of the cell surface receptor. Mol. Cell. Biol. 25 11005–11018. 10.1128/MCB.25.24.11005-11018.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gomes C. M., Abrunhosa A. J., Ramos P., Pauwels E. K. J. (2011). Molecular imaging with SPECT as a tool for drug development. Adv. Drug Deliv. Rev. 63 547–554. 10.1016/j.addr.2010.09.015 [DOI] [PubMed] [Google Scholar]
- Haefliger P., Agorastos N., Renard A., Giambonini-Brugnoli G., Marty C., Alberto R. (2005). Cell uptake and radiotoxicity studies of an nuclear localization signal peptide-intercalator conjugate labeled with [99mTc(CO)3]+. Bioconjug. Chem. 16 582–587. 10.1021/bc0500084 [DOI] [PubMed] [Google Scholar]
- Häfliger P., Agorastos N., Spingler B., Georgiev O., Viola G., Alberto R. (2005). Induction of DNA-double-strand breaks by auger electrons from 99mTc complexes with DNA-binding ligands. Chembiochem 6 414–421. 10.1002/cbic.200400210 [DOI] [PubMed] [Google Scholar]
- Han G., Kortylewicz Z. P., Enke T., Baranowska-Kortylewicz J. (2014). Co-targeting androgen receptor and DNA for imaging and molecular radiotherapy of prostate cancer: in vitro studies. Prostate 74 1634–1646. 10.1002/pros.22880 [DOI] [PubMed] [Google Scholar]
- Heinlein C. A., Chang C. (2004). Androgen receptor in prostate cancer. Endocr. Rev. 25 276–308. 10.1210/er.2002-0032 [DOI] [PubMed] [Google Scholar]
- Hindié E., Zanotti-Fregonara P., Quinto M. A., Morgat C., Champion C. (2016). Dose deposits from 90Y, 177Lu, 111In, and 161Tb in micrometastases of various sizes: implications for radiopharmaceutical therapy. J. Nucl. Med. 57 759–764. 10.2967/jnumed.115.170423 [DOI] [PubMed] [Google Scholar]
- Hoang B., Reilly R. M., Allen C. (2012). Block copolymer micelles target Auger electron radiotherapy to the nucleus of HER2-positive breast cancer cells. Biomacromolecules 13 455–465. 10.1021/bm201479t [DOI] [PubMed] [Google Scholar]
- Howell R. W. (2011). Patient exposures and consequent risks from nuclear medicine procedures. Health Phys. 100 313–317. 10.1097/HP.0b013e31820ef10a [DOI] [PMC free article] [PubMed] [Google Scholar]
- ICRP (2007). The 2007 recommendations of the international commission on radiological protection. ICRP publication 103. Ann. ICRP 37 1–332. 10.1016/j.icrp.2007.10.003 [DOI] [PubMed] [Google Scholar]
- Imstepf S., Pierroz V., Raposinho P., Bauwens M., Felber M., Fox T., et al. (2015). Nuclear targeting with an Auger electron emitter potentiates the action of a widely used antineoplastic drug. Bioconjug. Chem. 26 2397–2407. 10.1021/acs.bioconjchem.5b00466 [DOI] [PubMed] [Google Scholar]
- Jackson M. R., Falzone N., Vallis K. A. (2013). Advances in anticancer radiopharmaceuticals. Clin. Oncol. 25 604–609. 10.1016/j.clon.2013.06.004 [DOI] [PubMed] [Google Scholar]
- Jiang H., Kilburn M. R., Decelle J., Musat N. (2016). NanoSIMS chemical imaging combined with correlative microscopy for biological sample analysis. Curr. Opin. Biotechnol. 41 130–135. 10.1016/j.copbio.2016.06.006 [DOI] [PubMed] [Google Scholar]
- Kaksonen M., Roux A. (2018). Mechanisms of clathrin-mediated endocytosis. Nat. Rev. Mol. Cell Biol. 19 313–326. 10.1038/nrm.2017.132 [DOI] [PubMed] [Google Scholar]
- Kam W. W.-Y., Banati R. B. (2013). Effects of ionizing radiation on mitochondria. Free Radic. Biol. Med. 65 607–619. 10.1016/j.freeradbiomed.2013.07.024 [DOI] [PubMed] [Google Scholar]
- Kassis A. I. (2004). The amazing world of Auger electrons. Int. J. Radiat. Biol. 80 789–803. 10.1080/09553000400017663 [DOI] [PubMed] [Google Scholar]
- Kiess A. P., Minn I., Chen Y., Hobbs R., Sgouros G., Mease R. C., et al. (2015). Auger radiopharmaceutical therapy targeting prostate-specific membrane antigen. J. Nucl. Med. 56 1401–1407. 10.2967/jnumed.115.155929 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kiess A. P., Minn I., Vaidyanathan G., Hobbs R. F., Josefsson A., Shen C., et al. (2016). (2S)-2-(3-(1-carboxy-5-(4-211At-astatobenzamido)pentyl)ureido)-pentanedioic acid for PSMA-targeted α-particle radiopharmaceutical therapy. J. Nucl. Med. 57 1569–1575. 10.2967/jnumed.116.174300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim T. J., Türkcan S., Pratx G. (2017). Modular low-light microscope for imaging cellular bioluminescence and radioluminescence. Nat. Protoc. 12 1055–1076. 10.1038/nprot.2017.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kortylewicz Z. P., Kimura Y., Inoue K., Mack E., Baranowska-Kortylewicz J. (2012). Radiolabeled cyclosaligenyl monophosphates of 5-iodo-2′-deoxyuridine, 5-iodo-3′-fluoro-2′,3′-dideoxyuridine, and 3′-fluorothymidine for molecular radiotherapy of cancer: synthesis and biological evaluation. J. Med. Chem. 55 2649–2671. 10.1021/jm201482p [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kotzerke J., Punzet R., Runge R., Ferl S., Oehme L., Wunderlich G., et al. (2014). 99mTc-Labeled HYNIC-DAPI causes plasmid DNA damage with high efficiency. PLoS One 9:e104653. 10.1371/journal.pone.0104653 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koumarianou E., Slastnikova T. A., Pruszynski M., Rosenkranz A. A., Vaidyanathan G., Sobolev A. S., et al. (2014). Radiolabeling and in vitro evaluation of 67Ga-NOTA-modular nanotransporter – a potential Auger electron emitting EGFR-targeted radiotherapeutic. Nucl. Med. Biol. 41, 441–449. 10.1016/j.nucmedbio.2014.03.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kozempel J., Mokhodoeva O., Vlk M. (2018). Progress in targeted alpha-particle therapy. What we learned about recoils release from in vivo generators. Molecules 23:E581. 10.3390/molecules23030581 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kratochwil C., Bruchertseifer F., Rathke H., Hohenfellner M., Giesel F. L., Haberkorn U., et al. (2018). Targeted α-therapy of mCRPC with 225Actinium-PSMA-617: swimmer-plot analysis suggests efficacy regarding duration of tumor-control. J. Nucl. Med. 59 795–802. 10.2967/jnumed.117.203539 [DOI] [PubMed] [Google Scholar]
- Larson S. M., Carrasquillo J. A., Cheung N.-K. V., Press O. W. (2015). Radioimmunotherapy of human tumours. Nat. Rev. Cancer 15 347–360. 10.1038/nrc3925 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lechene C., Hillion F., McMahon G., Benson D., Kleinfeld A. M., Kampf J. P., et al. (2006). High-resolution quantitative imaging of mammalian and bacterial cells using stable isotope mass spectrometry. J. Biol. 5:20. 10.1186/jbiol42 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee B. Q., Kibédi T., Stuchbery A. E. (2015). Auger yield calculations for medical radioisotopes. EPJ Web Conf. 91:00007. 10.1051/epjconf/20159100007 7938455 [DOI] [Google Scholar]
- Liquier-Milward J. (1956). Electron microscopy and radioautography as coupled techniques in tracer experiments. Nature 177:619. 10.1038/177619a0 [DOI] [PubMed] [Google Scholar]
- Llopart X., Ballabriga R., Campbell M., Tlustos L., Wong W. (2007). Timepix, a 65k programmable pixel readout chip for arrival time, energy and/or photon counting measurements. Nucl. Instrum. Methods Phys. 581 485–494. 10.1016/j.nima.2007.08.079 [DOI] [Google Scholar]
- Mather S. J. (2012). Current Directions in Radiopharmaceutical Research and Development. Berlin: Springer Science & Business Media. [Google Scholar]
- Maucksch U., Runge R., Wunderlich G., Freudenberg R., Naumann A., Kotzerke J. (2016). Comparison of the radiotoxicity of the 99mTc-labeled compounds 99mTc-pertechnetate, 99mTc-HMPAO and 99mTc-MIBI. Int. J. Radiat. Biol. 92 698–706. 10.3109/09553002.2016.1168533 [DOI] [PubMed] [Google Scholar]
- Miller B. W. (2018). Radiation imagers for quantitative, single-particle digital autoradiography of alpha- and beta-particle emitters. Semin. Nucl. Med. 48 367–376. 10.1053/j.semnuclmed.2018.02.008 [DOI] [PubMed] [Google Scholar]
- Natarajan A., Türkcan S., Gambhir S. S., Pratx G. (2015). Multiscale framework for imaging radiolabeled therapeutics. Mol. Pharm. 12 4554–4560. 10.1021/acs.molpharmaceut.5b00392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ngo Ndjock Mbong G., Lu Y., Chan C., Cai Z., Liu P., Boyle A. J., et al. (2015). Trastuzumab labeled to high specific activity with 111In by site-specific conjugation to a metal-chelating polymer exhibits amplified Auger electron-mediated cytotoxicity on HER2-positive breast cancer cells. Mol. Pharm. 12 1951–1960. 10.1021/mp5007618 [DOI] [PubMed] [Google Scholar]
- Nuñez J., Renslow R., Cliff J. B., Anderton C. R. (2017). NanoSIMS for biological applications: current practices and analyses. Biointerphases 13:03B301. 10.1116/1.4993628 [DOI] [PubMed] [Google Scholar]
- Paillas S., Ladjohounlou R., Lozza C., Pichard A., Boudousq V., Jarlier M., et al. (2016). Localized irradiation of cell membrane by Auger electrons is cytotoxic through oxidative stress-mediated nontargeted effects. Antioxid. Redox Signal. 25 467–484. 10.1089/ars.2015.6309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paul D., Gröbe A., Zimmer F. (1970). Autoradiography in the scanning electron microscope. Nature 227 488–489. 10.1038/227488a0 [DOI] [PubMed] [Google Scholar]
- Pereira E., do Quental L., Palma E., Oliveira M. C., Mendes F., Raposinho P., et al. (2017). Evaluation of acridine orange derivatives as DNA-targeted radiopharmaceuticals for Auger therapy: influence of the radionuclide and distance to DNA. Sci. Rep. 7:42544. 10.1038/srep42544 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Persson H. L., Kurz T., Eaton J. W., Brunk U. T. (2005). Radiation-induced cell death: importance of lysosomal destabilization. Biochem. J. 389 877–884. 10.1042/BJ20050271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pouget J.-P., Lozza C., Deshayes E., Boudousq V., Navarro-Teulon I. (2015). Introduction to radiobiology of targeted radionuclide therapy. Front. Med. 2:12. 10.3389/fmed.2015.00012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pouget J.-P., Navarro-Teulon I., Bardiès M., Chouin N., Cartron G., Pèlegrin A., et al. (2011). Clinical radioimmunotherapy—the role of radiobiology. Nat. Rev. Clin. Oncol. 8 720–734. 10.1038/nrclinonc.2011.160 [DOI] [PubMed] [Google Scholar]
- Pouget J.-P., Santoro L., Raymond L., Chouin N., Bardiès M., Bascoul-Mollevi C., et al. (2008). Cell membrane is a more sensitive target than cytoplasm to dense ionization produced by auger electrons. Radiat. Res. 170 192–200. 10.1667/RR1359.1 [DOI] [PubMed] [Google Scholar]
- Pratx G., Chen K., Sun C., Martin L., Carpenter C. M., Olcott P. D., et al. (2012). Radioluminescence microscopy: measuring the heterogeneous uptake of radiotracers in single living cells. PLoS One 7:e46285. 10.1371/journal.pone.0046285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pruszynski M., Koumarianou E., Vaidyanathan G., Revets H., Devoogdt N., Lahoutte T., et al. (2014). Improved tumor targeting of anti-HER2 nanobody through N-succinimidyl 4-guanidinomethyl-3-iodobenzoate radiolabeling. J. Nucl. Med. 55 650–656. 10.2967/jnumed.113.127100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Puncher M. R. B., Blower P. J. (1994). Radionuclide targeting and dosimetry at the microscopic level: the role of microautoradiography. Eur. J. Nucl. Med. 21 1347–1365. 10.1007/BF02426701 [DOI] [PubMed] [Google Scholar]
- Quang T. S., Brady L. W. (2004). Radioimmunotherapy as a novel treatment regimen: 125I-labeled monoclonal antibody 425 in the treatment of high-grade brain gliomas. Int. J. Radiat. Oncol. Biol. Phys. 58 972–975. 10.1016/j.ijrobp.2003.09.096 [DOI] [PubMed] [Google Scholar]
- Rahbar K., Ahmadzadehfar H., Kratochwil C., Haberkorn U., Schäfers M., Essler M., et al. (2017). German multicenter study investigating 177Lu-PSMA-617 radioligand therapy in advanced prostate cancer patients. J. Nucl. Med. 58 85–90. 10.2967/jnumed.116.183194 [DOI] [PubMed] [Google Scholar]
- Rajendran L., Knölker H.-J., Simons K. (2010). Subcellular targeting strategies for drug design and delivery. Nat. Rev. Drug Discov. 9 29–42. 10.1038/nrd2897 [DOI] [PubMed] [Google Scholar]
- Rbah-Vidal L., Vidal A., Billaud E. M. F., Besse S., Ranchon-Cole I., Mishellany F., et al. (2017). Theranostic approach for metastatic pigmented melanoma using ICF15002, a multimodal radiotracer for both PET imaging and targeted radionuclide therapy. Neoplasia 19 17–27. 10.1016/j.neo.2016.11.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reissig F., Mamat C., Steinbach J., Pietzsch H.-J., Freudenberg R., Navarro-Retamal C., et al. (2016). Direct and Auger electron-induced, single- and double-strand breaks on plasmid DNA caused by 99mTc-labeled pyrene derivatives and the effect of bonding distance. PLoS One 11:e0161973. 10.1371/journal.pone.0161973 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rind H. B., Butowt R., von Bartheld C. S. (2005). Synaptic targeting of retrogradely transported trophic factors in motoneurons: comparison of glial cell line-derived neurotrophic factor, brain-derived neurotrophic factor, and cardiotrophin-1 with tetanus toxin. J. Neurosci. 25 539–549. 10.1523/JNEUROSCI.4322-04.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rojas B., Hooker C., McGowan D. R., Guy M. J. (2015). Five years of molecular radiotherapy growth in the UK: survey results from 2007 to 2012. Nucl. Med. Commun. 36 761–765. 10.1097/MNM.0000000000000306 [DOI] [PubMed] [Google Scholar]
- Royle G., Falzone N., Chakalova R., Vallis K., Myhra S. (2016). Internalization of Auger electron-emitting isotopes into cancer cells: a method for spatial distribution determination of equivalent source terms. Int. J. Radiat. Biol. 92 633–640. 10.1080/09553002.2016.1233369 [DOI] [PubMed] [Google Scholar]
- Royle G., Myhra S., Chakalova R., Vallis K. A., Falzone N. (2015). Spatial distribution of Auger electrons emitted from internalised radionuclides in cancer cells: the photoresist autoradiography (PAR) method. Radiat. Prot. Dosimetry 166 228–232. 10.1093/rpd/ncv162 [DOI] [PubMed] [Google Scholar]
- Rügheimer T. K., Gebert U., Michel T., Anton G., Séguinot J., Joram C. (2008). Experimental demonstration of a hybrid photon detector concept based on the Timepix detector. Nucl. Instrum. Methods Phys. 595 353–358. 10.1016/j.nima.2008.07.079 [DOI] [Google Scholar]
- Santoro L., Boutaleb S., Garambois V., Bascoul-Mollevi C., Boudousq V., Kotzki P.-O., et al. (2009). Noninternalizing monoclonal antibodies are suitable candidates for 125I radioimmunotherapy of small-volume peritoneal carcinomatosis. J. Nucl. Med. 50 2033–2041. 10.2967/jnumed.109.066993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott C. C., Vacca F., Gruenberg J. (2014). Endosome maturation, transport and functions. Semin. Cell Dev. Biol. 31 2–10. 10.1016/j.semcdb.2014.03.034 [DOI] [PubMed] [Google Scholar]
- Slastnikova T. A., Koumarianou E., Rosenkranz A. A., Vaidyanathan G., Lupanova T. N., Sobolev A. S., et al. (2012). Modular nanotransporters: a versatile approach for enhancing nuclear delivery and cytotoxicity of Auger electron-emitting 125I. EJNMMI Res. 2:59. 10.1186/2191-219X-2-59 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Slastnikova T. A., Rosenkranz A. A., Khramtsov Y. V., Karyagina T. S., Ovechko S. A., Sobolev A. S. (2017a). Development and evaluation of a new modular nanotransporter for drug delivery into nuclei of pathological cells expressing folate receptors. Drug Des. Devel. Ther. 11 1315–1334. 10.2147/DDDT.S127270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Slastnikova T. A., Rosenkranz A. A., Morozova N. B., Vorontsova M. S., Petriev V. M., Lupanova T. N., et al. (2017b). Preparation, cytotoxicity, and in vivo antitumor efficacy of 111In-labeled modular nanotransporters. Int. J. Nanomed. 12 395–410. 10.2147/IJN.S125359 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sobolev A. S. (2018). Modular nanotransporters for nuclear-targeted delivery of Auger electron emitters”. Front. Pharmacol. 9:952 10.3389/fphar.2018.00952 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Solon E. G. (2015). Autoradiography techniques and quantification of drug distribution. Cell Tissue Res. 360 87–107. 10.1007/s00441-014-2093-4 [DOI] [PubMed] [Google Scholar]
- Song L., Falzone N., Vallis K. A. (2016). EGF-coated gold nanoparticles provide an efficient nano-scale delivery system for the molecular radiotherapy of EGFR-positive cancer. Int. J. Radiat. Biol. 92 716–723. 10.3109/09553002.2016.1145360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Song W., Popp L., Yang J., Kumar A., Gangoli V. S., Segatori L. (2015). The autophagic response to polystyrene nanoparticles is mediated by transcription factor EB and depends on surface charge. J. Nanobiotechnol. 13:87. 10.1186/s12951-015-0149-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strosberg J., El-Haddad G., Wolin E., Hendifar A., Yao J., Chasen B., et al. (2017). Phase 3 trial of 177Lu-Dotatate for midgut neuroendocrine tumors. N. Engl. J. Med. 376 125–135. 10.1056/NEJMoa1607427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Turner N. C., Neven P., Loibl S., Andre F. (2017). Advances in the treatment of advanced oestrogen-receptor-positive breast cancer. Lancet 389 2403–2414. 10.1016/S0140-6736(16)32419-9 [DOI] [PubMed] [Google Scholar]
- Uribe C. F., Esquinas P. L., Tanguay J., Gonzalez M., Gaudin E., Beauregard J.-M., et al. (2017). Accuracy of 177Lu activity quantification in SPECT imaging: a phantom study. EJNMMI Phys. 4:2. 10.1186/s40658-016-0170-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vallis K. A., Reilly R. M., Scollard D., Merante P., Brade A., Velauthapillai S., et al. (2014). Phase I trial to evaluate the tumor and normal tissue uptake, radiation dosimetry and safety of 111In-DTPA-human epidermal growth factor in patients with metastatic EGFR-positive breast cancer. Am. J. Nucl. Med. Mol. Imaging 4 181–192. [PMC free article] [PubMed] [Google Scholar]
- von Eyben F. E., Roviello G., Kiljunen T., Uprimny C., Virgolini I., Kairemo K., et al. (2018). Third-line treatment and 177Lu-PSMA radioligand therapy of metastatic castration-resistant prostate cancer: a systematic review. Eur. J. Nucl. Med. Mol. Imaging 45 496–508. 10.1007/s00259-017-3895-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vultos F., Fernandes C., Mendes F., Marques F., Correia J. D. G., Santos I., et al. (2017). A multifunctional radiotheranostic agent for dual targeting of breast cancer cells. ChemMedChem 12 1103–1107. 10.1002/cmdc.201700287 [DOI] [PubMed] [Google Scholar]
- Waghorn P. A., Jackson M. R., Gouverneur V., Vallis K. A. (2017). Targeting telomerase with radiolabeled inhibitors. Eur. J. Med. Chem. 125 117–129. 10.1016/j.ejmech.2016.09.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y.-N., Yamaguchi H., Hsu J.-M., Hung M.-C. (2010). Nuclear trafficking of the epidermal growth factor receptor family membrane proteins. Oncogene 29 3997–4006. 10.1038/onc.2010.157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wedlock L. E., Kilburn M. R., Liu R., Shaw J. A., Berners-Price S. J., Farrell N. P. (2013). NanoSIMS multi-element imaging reveals internalisation and nucleolar targeting for a highly-charged polynuclear platinum compound. Chem. Commun. 49 6944–6946. 10.1039/c3cc42098a [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yasui L., Hughes A., DeSombre E. (2001). Relative biological effectiveness of accumulated 125IdU and 125I-estrogen decays in estrogen receptor-expressing MCF-7 human breast cancer cells. Radiat. Res. 155 328–334. 10.1667/0033-7587(2001)155[0328:RBEOAI]2.0.CO;2 [DOI] [PubMed] [Google Scholar]
- Yu B., Wei H., He Q., Ferreira C. A., Kutyreff C. J., Ni D., et al. (2018). Efficient uptake of 177Lu-Porphyrin-PEG nanocomplexes by tumor mitochondria for multimodal-imaging-guided combination therapy. Angew. Chem. 57 218–222. 10.1002/anie.201710232 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zereshkian A., Leyton J. V., Cai Z., Bergstrom D., Weinfeld M., Reilly R. M. (2014). The human polynucleotide kinase/phosphatase (hPNKP) inhibitor A12B4C3 radiosensitizes human myeloid leukemia cells to Auger electron-emitting anti-CD123 111In-NLS-7G3 radioimmunoconjugates. Nucl. Med. Biol. 41 377–383. 10.1016/j.nucmedbio.2014.02.003 [DOI] [PubMed] [Google Scholar]
- Zhu C., Bandekar A., Sempkowski M., Banerjee S. R., Pomper M. G., Bruchertseifer F., et al. (2016). Nanoconjugation of PSMA-targeting ligands enhances perinuclear localization and improves efficacy of delivered alpha-particle emitters against tumor endothelial analogues. Mol. Cancer Ther. 15 106–113. 10.1158/1535-7163.MCT-15-0207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ziegler J. F., Ziegler M. D., Biersack J. P. (2010). SRIM – The stopping and range of ions in matter (2010). Nucl. Instrum. Methods Phys. 268 1818–1823. 10.1016/j.nimb.2010.02.091 [DOI] [Google Scholar]