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Hypoxia imaging and theranostic potential of [64Cu][Cu(ATSM)] and ionic Cu(II) salts: a review of current evidence and discussion of the retention mechanisms

EJNMMI Research volume 10, Article number: 33 (2020) Cite this article

Abstract

Background

Tumor hypoxia (low tissue oxygenation) is an adverse condition of the solid tumor environment, associated with malignant progression, radiotherapy resistance, and poor prognosis. One method to detect tumor hypoxia is by positron emission tomography (PET) with the tracer [64Cu][Cu-diacetyl-bis(N(4)-methylthiosemicarbazone)] ([64Cu][Cu(ATSM)]), as demonstrated in both preclinical and clinical studies. In addition, emerging studies suggest using [64Cu][Cu(ATSM)] for molecular radiotherapy, mainly due to the release of therapeutic Auger electrons from copper-64, making [64Cu][Cu(ATSM)] a “theranostic” agent. However, the radiocopper retention based on a metal-ligand dissociation mechanism under hypoxia has long been controversial. Recent studies using ionic Cu(II) salts as tracers have raised further questions on the original mechanism and proposed a potential role of copper itself in the tracer uptake. We have reviewed the evidence of using the copper radiopharmaceuticals [60/61/62/64Cu][Cu(ATSM)]/ionic copper salts for PET imaging of tumor hypoxia, their possible therapeutic applications, issues related to the metal-ligand dissociation mechanism, and possible explanations of copper trapping based on studies of the copper metabolism under hypoxia.

Results

We found that hypoxia selectivity of [64Cu][Cu(ATSM)] has been clearly demonstrated in both preclinical and clinical studies. Preclinical therapeutic studies in mice have also demonstrated promising results, recently reporting significant tumor volume reductions and improved survival in a dose-dependent manner. Cu(II)-[Cu(ATSM)] appears to be accumulated in regions with substantially higher CD133+ expression, a marker for cancer stem cells. This, combined with the reported requirement of copper for activation of the hypoxia inducible factor 1 (HIF-1), provides a possible explanation for the therapeutic effects of [64Cu][Cu(ATSM)]. Comparisons between [64Cu][Cu(ATSM)] and ionic Cu(II) salts have showed similar results in both imaging and therapeutic studies, supporting the argument for the central role of copper itself in the retention mechanism.

Conclusions

We found promising evidence of using copper-64 radiopharmaceuticals for both PET imaging and treatment of hypoxic tumors. The Cu(II)-[Cu(ATSM)] retention mechanism remains controversial and future mechanistic studies should be focused on understanding the role of copper itself in the hypoxic tumor metabolism.

Background

Tumor hypoxia is an adverse condition of the tumor microenvironment defined by low tissue oxygenation as a result of an imbalance between cellular oxygen supply and consumption [1]. The cause of tumor hypoxia includes poor perfusion due to lack of blood flow, inadequate oxygen diffusion due to increased distance with tumor expansion, or reduced transport capacity of oxygen in blood (anemia) [2]. Tumor hypoxia is typically associated with malignant progression, metastasis, resistance to chemo- and/or radiotherapy, recurrence, and overall poor prognosis [3,4,5]. Tumor hypoxia can also induce aggravating biological changes in the tumor microenvironment that result in change of gene expression patterns, alter the malignant potential of the tumor, and lead to increased tumor aggressiveness [6]. Detection of tumor hypoxia is therefore of great importance in order to optimize the treatment strategy and improve overall prognosis [2, 7].

Conventionally, assessment of tumor hypoxia has been achieved by using invasive techniques such as measuring the oxygen partial pressure (pO2) with intratumoral polarographic sensors (an oxygen probe), developed in the 1990s [3, 8]. Although invasive methods such as polarographic electrodes have the advantage of high sensitivity and are often regarded as gold standards, these methods also suffer from limited tumor accessibility, disruption of the tumor microenvironment, and difficulties to distinguish necrotic regions of the tumor, in addition to the troublesome and painful procedures [9]. As a result, using invasive techniques has questionable oxygen level representation of the tumor as a whole as well as difficulties to visualize variations of oxygen concentration within the tumor [5]. A number of noninvasive techniques can be used to image tumor hypoxia, including positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electron paramagnetic resonance (EPR), and optical spectroscopy. Though based on different principles, these techniques share similar advantages that allow serial tracking of hypoxic regions and accessibility that are otherwise challenging for invasive techniques [5]. In blood oxygen level dependent (BOLD) fMRI, the detection of hypoxia is based on an indirect mechanism by measuring the magnetic susceptibility difference between deoxy-hemoglobin (paramagnetic) and oxy-hemoglobin (diamagnetic). The measurement is influenced by for instance the change of hemoglobin concentration and interconversions, thus the result is considered as qualitative assessments of oxygenation dynamics but not direct oxygen levels [10]. In contrast, detection of tumor hypoxia in PET is a direct measurement, presenting higher sensitivity and is directly quantitative. Compared to the more commonly used fluorine-based PET tracers, tracers based on copper allow a rapid visualization of hypoxia (in contrast to [18F]F-MISO), or better penetration of the blood-brain barrier and no urinary bladder uptake (in contrast to [18F]FAZA) [11, 12], in addition to longer half-lives that contributes to better image quality and more convenient clinical practice. Here, we focus on reviewing recent advances and challenges in imaging of tumor hypoxia using PET with one of the most promising copper tracers, [64Cu][Cu-diacetyl-bis(N4-methylthiosemicarbazone)] ([64Cu][Cu(ATSM)]), and simple ionic [64Cu]Cu(II) salts, as well as implications on using these tracers for simultaneous internal molecular radiotherapy.

Results

Copper-labelled ATSM

There has been a number of preclinical studies on radiolabeled copper [Cu(ATSM)] (may be abbreviated as [*Cu][Cu(ATSM)] when positron-emitting radiocopper is used and the choice of isotope does not have impact on the chemical properties of the tracers) as PET tracers for the imaging of tumor hypoxia in varies tumor types. To highlight a few, the first reported study by Fujibayashi et al. in 1997 used [62Cu][Cu(ATSM)] for detection of hypoxia, where a perfused rat heart model was imaged and sustained accumulation of [62Cu][Cu(ATSM)] was observed under hypoxia, but not normoxia or reoxygenation [13]. Selectivity of copper-labelled ATSM in hypoxic tumor regions has since been explored. In a comparative in vivo and in vitro study between [64Cu][Cu(ATSM)], [64Cu][Cu-pyruvaldehyde-bis(N4-methylthiosemicarbazone)] ([64Cu][Cu(PTSM)]), and [18F]-fluoromisonidazole ([18F]-FMISO), Lewis et al. demonstrated in a hypoxic EMT6 breast cancer model that uptake of [64Cu][Cu(ATSM)] was oxygen concentration dependent, and compared to [18F]-FMISO, [64Cu][Cu(ATSM)] had higher hypoxia cellular uptakes and more rapid washout in normoxic cells. While [64Cu][Cu(PTSM)] had a uniform distribution throughout the tumor, [64Cu][Cu(ATSM)] showed heterogeneity in distribution within the tumor, suggesting selective trapping in hypoxic cells [14]. Later, the same group confirmed with polarographic oxygen electrodes that both the [61Cu]-, [64Cu]-, and [67Cu][Cu(ATSM)] retention imaged with PET and with electronic autoradiography was pO2 dependent [15]. Tanaka et al. compared the regional distribution of [64Cu][Cu(ATSM)] accumulated inside the tumor mass in four different experimental tumor models (LLC-1, Meth-A, B16, and colon-26) with immunohistochemical staining and demonstrated hypovascular and cell-cycle-arrest featured in these regions [16]. Vāvere et al. compared [64Cu][Cu(ATSM)] with [18F]-FMISO for PET imaging of tumor hypoxia and revealed that [64Cu][Cu(ATSM)] was advantageous in terms of more rapid kinetics, better hypoxia to background ratio, and higher detection threshold [17].

Further comparisons of the intratumoral distribution between [64Cu][Cu(ATSM)] and the most commonly used PET tracer, 18F-fluorodeoxyglucose ([18F]-FDG), by Obata et al. in an VX2 carcinoma xenograft rabbit model revealed some interesting insights. It was found that [64Cu][Cu(ATSM)] was mainly accumulated in the outer rim of the tumor, thought to be the most aggressive part of the tumor, with clusters of viable tumor cells and under hypoxia due to active proliferation, whereas [18F]-FDG accumulated in the regions of pre-necrotic cells or cells with irreversible damages [18]. Oh et al. further revealed that tumor cells in high [64Cu][Cu(ATSM)] accumulation regions are quiescent but highly clonogenic and are rapidly proliferating, induced by mild hypoxia and under a highly reductive environment, consistent with prior studies [18, 19]. Using a mouse colon carcinoma model, Yoshii et al. discovered that [64Cu][Cu(ATSM)] indeed preferentially accumulates in regions of tumors with high expression of CD133+, which are characterized as cancer stem cells (CSCs) and enriched under hypoxia due to survival advantages, as well as promoted self-renewal ability through the activation of the hypoxia inducible factor-1α (HIF-1α) [20,21,22]. In addition, it has also been suggested that [64Cu][Cu(ATSM)] is a direct indicator of an over-reduced intracellular state caused by hypoxia, and thus, an indirect indicator of hypoxia [23]. Collectively, these preclinical studies have provided evidence to suggest the use of radiolabeled copper [Cu(ATSM)] not only as a tracer for imaging of tumor hypoxia, but potentially as a tracer of clonogenic cancer stem cells or stem-like cells which accumulate in regions characterized by a highly reductive biochemical environment.

Ionic copper-64

Using simple [64Cu]Cu-dichloride ([64Cu]CuCl2), Peng et al. were able to visualize mouse hepatoma xenografts with small animal PET, where the copper uptake is believed to be mediated by the copper transporter 1 (CTR-1) [24]. Later, the same group observed increased tumor uptake of copper-64 in a human prostate cancer xenograft mouse model and concluded that [64Cu]CuCl2 PET may be useful for the detection of local recurrence in the prostate bed [25]. Similarly, Zhang et al. later visualized human hepatocellular carcinoma in a xenograft model using [64Cu]CuCl2 as the PET tracer [26]. Concerning the stability of ligand-bound copper-64 tracers from other studies, Jørgensen et al. investigated the uptake of copper-64 from [64Cu]CuCl2 in five different xenograft models (from colorectal cancer, glioblastoma, head and neck cancer, neuroendocrine lung carcinoma, and ovarian cancer) and found high tumor uptake of copper-64 in four out of the five models, with the exception of ovarian cancer having moderate uptake [27].

To investigate the role of copper itself in the retention mechanism, Hueting et al. intriguingly discovered in an in vivo study that when comparing the behavior of [64Cu]Cu-acetate and [64Cu][Cu(ATSM)] in EMT6 and HT1080 mouse xenograft models, the uptake and distribution of copper-64 showed mirroring performance of the two tracers [28]. Furthermore, when increasing the inhalation of O2 at two hours retention, the uptake of both tracers was also correspondingly reduced [28]. Contrary to the in vivo results, in vitro experiments showed substantially less uptake of [64Cu]Cu-acetate than [64Cu][Cu(ATSM)]. In addition, radio thin layer chromatography (TLC) showed that although [64Cu][Cu(ATSM)] appeared to be stable in mouse serum in vitro, ex vivo analysis of mouse serum extracted from blood injected with [64Cu][Cu(ATSM)] showed that copper exists primarily in the form of ionic [64Cu]Cu(II) with comparable amount of copper-64 radioactivity as in a mouse injected with [64Cu]Cu-acetate [28]. Using an octanol-extraction method to analyze the amount of intact [64Cu][Cu(ATSM)] in mouse whole blood, the same group reported that only 3% of the copper complex remained intact 30 min after injection, while the rest existed as serum-bound copper-64, having radioactivity comparable to the extraction from mice injected with [64Cu]Cu-acetate [28]. In summary, the results from these authors seem to question the validity of the previously proposed copper retention mechanism based on the instability of [64Cu][Cu(ATSM)] complex in vivo [28]. Such instability will lead to the dismantling of [64Cu]Cu(II) from the complex before reaching the tumor cells, despite the mechanism has been demonstrated in vitro [28]. Ferrari et al. further investigated the theranostic possibility of [64Cu]CuCl2 in a glioblastoma xenograft model and found good visualization of tumors, and noted that the ability of copper ions to enter cancer cells may not simply depend on the complexing ligand, but rather be tightly linked to copper itself [29].

Clinical studies with [*Cu][Cu(ATSM)] and ionic copper-64

The possibility of using radiolabeled copper [Cu(ATSM)] and ionic Cu(II) salts for PET imaging of tumor has also been demonstrated in clinical studies with different cancer types, including lung, cervical, rectal, head and neck, brain, and prostate cancer. One of the reasons these cancer types were chosen in the studies with [*Cu][Cu(ATSM)] PET imaging is because of the difficulties to detect hypoxia due to the physical inaccessibility to use invasive methods [30,31,32,33]. Although the exact mechanism and relations to tissue hypoxia explaining the retention of either [64Cu][Cu(ATSM)] or ionic copper-64 is yet to be identified, the benefits of using these PET tracers have been demonstrated clinically. For instance, Dietz et al. demonstrated the effectiveness of [60Cu][Cu(ATSM)] as a predictor of neoadjuvant chemoradiotherapy response and survival of patients with rectal cancer [34]. More recently, it has been reported that radiolabeled copper [*Cu][Cu(ATSM)]/[*Cu]CuCl2 can be used as a predictor of radiotherapy response in head and neck cancer ([62Cu][Cu(ATSM)]) [35], staging and detection of recurrent prostate cancer ([64Cu]CuCl2) [36, 37], and imaging of brain tumors ([64Cu]CuCl2) [38]. A summary of clinical studies with either copper-labelled ATSM or ionic radiocopper is shown in Table 1.

Table 1 Clinical studies using *copper(II)-diacetyl-bis(N4-methylthiosemicarbazone) ([*Cu][Cu(ATSM)]) or *Cu-dichloride ([*Cu]CuCl2) as radioactive tracer in PET
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These clinical studies have demonstrated the possibility of using radiolabeled copper [*Cu][Cu(ATSM)]/[*Cu]CuCl2 for PET imaging of solid tumors and potentially for hypoxia imaging. In addition, therapy response and overall survival may be possible to predict with the aid of tissue-to-muscle ratios. Compared to [18F]-FDG, radiolabeled copper [*Cu][Cu(ATSM)] have been able to selectively image heterogeneity in tumor hypoxia within the tumor mass [31, 33, 39,40,41]. Compared to fluorine-based hypoxic PET tracers such as [18F]-FMISO and [18F]-choline, radiolabeled copper [*Cu][Cu(ATSM)]/[*Cu]CuCl2 have the advantages of much faster pharmacokinetics, better signal-to-noise ratio, and no interference due to absence of urinary bladder uptake [36, 37, 42]. Furthermore, ionic [64Cu]Cu2+ have also demonstrated improved diagnostic sensitivity in a recent study involving 50 patients with prostate cancer, with 82% detection rate compared to 74% using multiparametric MRI, which is the standard radiologic procedure, and 56% using [18F]-choline-PET, although the authors did not report comparisons with the more recently developed prostate-specific membrane antigen (PSMA)-based PET tracer [37]. Despite early experiments were mainly based on radiolabeled copper [*Cu][Cu(ATSM)], later studies have also involved ionic radiocopper and reached similar results. Notably, if the copper retention indeed followed solely the ligand-based trapping mechanism, using ionic radiocopper should not cause any selective accumulation in hypoxic tumors. Combining the clinical and in vivo preclinical results, it is clear that copper itself also plays an important role in the hypoxic selectivity and therefore should be emphasized.

Role of Cu-64 in therapeutic applications

Recently, several preclinical studies have reported the possibility of using [64Cu][Cu(ATSM)] or [64Cu]CuCl2, as therapeutic agents, in addition to imaging tumor hypoxia with PET. The ability of copper-64 for molecular radiotherapy is based on its complex decay scheme, which includes β+ (0.656 MeV, 19%), β− (0.573 MeV, 40%), electron capture (41%), and gamma emission (1.346 MeV, 0.5%), with a half-life of 12.7 h [42]. In particular, electron capture will generate a cascade of Auger electrons with high linear energy transfer (LET) in tissue, which has been demonstrated to induce tumor cell death with high efficiency due to the release of the electrons in close proximity to the DNA [43, 44]. Auger electrons from copper-64 are considered high LET radiation with ~ 2 keV of average energy and with ~ 126 nm average range in tissue, which is also a desirable property as these electrons travel much shorter than the diameter of tumor cells compared to other common β− emission radionuclide therapies where the electrons from β− emissions have much longer range [45,46,47].

The effectiveness of copper-64 as a therapeutic agent has been experimentally demonstrated in a number of in vitro and in vivo studies with various solid tumors. As early as in 2001, Lewis et al. demonstrated in a human GW39 colon cancer model in hamster that the survival rate of hamsters administrated with [64Cu][Cu(ATSM)] was significantly increased compared to untreated hamsters, with no acute toxicity even at high administered doses (10 mCi, 370 MBq) [46]. Subsequently, [64Cu][Cu(ATSM)] was proposed as a potential molecular radiotherapy agent [46]. An early in vitro investigation by Obata et al. characterized the molecular basis of [64Cu][Cu(ATSM)] as a therapeutic agent in a mouse Lewis lung carcinoma LL/2 model and showed that [64Cu][Cu(ATSM)] reduced the survival rate of clonogenic tumor cells in a dose-dependent manner, in which uptake of 1.50 Bq/cell resulted in a 99% killing rate [48]. The study further confirmed with the alkali comet assay that significant DNA damage was observed in cells exposed to [64Cu][Cu(ATSM)]. Combined with the lack of increase of apoptotic and necrotic cells, the damage was considered to be direct intracellular radiation damage [48]. These authors also hypothesized that the electrons from β− emission contributed to tumor cell killing, since the majority of the intracellular [64Cu][Cu(ATSM)] was found to remain in the post-mitochondrial supernatant [48]. However, other studies have demonstrated that Auger electrons are cytotoxic even without internalization, due to nuclides remaining on the cell membrane [49, 50]. Correlative studies using [64Cu][Cu(ATSM)], [18F]-FDG, and immunohistochemical staining showed that [64Cu][Cu(ATSM)] mainly accumulates at the edges of the tumor outside of [18F]-FDG accumulated regions, where the colony-forming ability is significantly higher and is considered quiescent but clonogenic [19]. Using a radioresistant hypoxic MCF-7 breast cancer model, Weeks et al. found that the increased uptake of [64Cu][Cu(ATSM)] in hypoxic MCF-7 tumor cells can effectively induce sufficient damage to the DNA of clonogenic tumor cells [51]. At reduced atmospheric oxygen concentration, uptake of [64Cu][Cu(ATSM)] in MCF-7 tumor cells was shown to be significantly increased, and for the first time, a strong correlation between the expression of HIF-1α and [64Cu][Cu(ATSM)] uptake by tumor cells was demonstrated [51].

Using a mouse colon carcinoma model, Yoshii et al. further demonstrated that [64Cu][Cu(ATSM)] preferentially accumulated in regions with high CD133+ expression, a common marker of CSC, which is believed to be the origin of self-renewal and differentiation ability of many tumor types and a major contributor to therapeutic resistance and metastasis [20, 52,53,54,55,56]. Expression of CD133+ increased with increasing hypoxia, where the uptake of [64Cu][Cu(ATSM)] also increased [20]. Following this in vivo mechanistic study, it was shown in a therapeutic study that administration of 37 MBq [64Cu][Cu(ATSM)] inhibited tumor growth, decreased the CD133+ cell percentage, and the ability to metastasize [57]. If [64Cu][Cu(ATSM)] indeed accumulates in regions of tumor hypoxia, and preferentially, regions of CSCs or stem-like cells, as previously reported based on cancer cell expression of CD133+, then it would be an excellent therapeutic agent not only for hypoxic tumors but also for targeting CSCs.

Lately, more clinical and preclinical studies suggested a therapeutic effect of the copper-64 radiopharmaceuticals [64Cu][Cu(ATSM)]/[64Cu]CuCl2 in targeting hypoxic, aggressive solid tumors. In a clinical investigation involving 50 human prostate cancer patients, Piccardo et al. and Righi et al. reported that [64Cu]CuCl2 is effective in detecting local recurrence and lymph node metastasis, although the evidence is still limited and further clinical trials are necessary to obtain more conclusive results [37, 58]. Glioblastoma multiforme (GBM), the most common and aggressive primary brain tumor in adults which typically is associated with poor prognosis, is known to have hypoxic regions that are resistant to chemo- and radiotherapy, as well as frequent recurrences after surgery [59,60,61]. Using a mouse xenograft GBM model, Ferrari et al. reported that intravenous administration of 333 MBq [64Cu]CuCl2 resulted in significant tumor reduction, ranging from 68–94% (single dose (SD), two complete tumor disappearance cases) and 64–94% (multiple dose (MD), 55.5 MBq × 6, four complete tumor disappearance cases), with subsequent prolonged survival rate at 73.3% (SD) and 73.0% (MD) at the 20th week, whereas in the control group, all tumors increased in the first 8 weeks [29]. It was found that exposure of [64Cu]CuCl2 inhibits the neurosphere-forming ability of tumor cells, a prerequisite for the formation of tumor masses [29]. Similar therapeutic effects has also been demonstrated with [64Cu][Cu(ATSM)] in a parallel preclinical study by Yoshii et al. Intravenous administration of [64Cu][Cu(ATSM)] in single doses (up to 148 MBq) and multiple doses (37 MBq × 4) has resulted in various degrees of tumor volume reduction in dose-dependent manners. The most successful tumor reduction and prolonged survival was observed with multiple doses of [64Cu][Cu(ATSM)] (37 MBq × 4), in which 86% (six out of seven) of cases achieved near complete tumor disappearance [62]. To further evaluate the possibility of using [64Cu][Cu(ATSM)] for internal radiotherapy, Matsumoto et al. investigated the pharmacokinetics and safety aspects of stable [Cu(ATSM)] (stable copper is a mix of 63Cu and 65Cu) and free H2-ATSM in a preclinical mouse study. Therapeutic administration of stable [Cu(ATSM)] and H2-ATSM in a ratio of 2:25 was found to be safe for patients when given as 15 μg once per week for 4 weeks [63]. In addition, [64Cu][Cu(ATSM)] therapy have been shown to be a novel approach to enhance cancer treatment efficiency concomitantly with bevacizumab in a human colon carcinoma xenograft model, where the repeated use of bevacizumab has caused decreased tumor vascularization and tumor hypoxia. Administration of [64Cu][Cu(ATSM)] in addition to bevacizumab treatment has shown to reduce tumor size and lead to prolonged survival, without major adverse effects [64].

A list of preclinical investigations on the therapeutic effects of copper-64 is summarized in Table 2. These studies have repeatedly demonstrated that [64Cu][Cu(ATSM)]/[64Cu]CuCl2 can be used not only as PET imaging tracers, but simultaneously by increasing the administrated dose to effectively target tumor cells, and perhaps the CSCs [19, 57], thereby significantly inhibit tumor growth with few adverse effects. The optimal administration method is likely to use multiple smaller doses to reduce possible adverse effects while keeping sustained internal radiation DNA damages of hypoxic tumor cells [29, 62]. Though the copper retention mechanism remains not fully understood, the trapping of copper-64 in hypoxic regions combined with the decay scheme of copper-64 with high LET, short-range Auger electrons clearly contributes to such therapeutic effects. In addition to be a stand-alone therapeutic agent, copper-64 radiopharmaceuticals have also been shown to address tumor hypoxia in combinatory cancer treatments (e.g., bevacizumab [64]), which opens new avenues of possibilities.

Table 2 Preclinical studies using copper-64 as therapeutic agent
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Controversial copper uptake mechanism

Although the effectiveness of using [64Cu][Cu(ATSM)] for the imaging of tumor hypoxia with PET has been repeatedly demonstrated, the copper uptake mechanism is still controversial and may explain the limited clinical use. Conventionally, as proposed initially by Fujibayashi et al. in 1997, Cu(II)-[Cu(ATSM)] was thought to diffuse into tumors due to its high membrane permeability, where Cu(II)-[62Cu][Cu(ATSM)] was reduced to Cu(I)-[62Cu][Cu(ATSM)] by NADH/NADPH in the dysfunctional mitochondria (due to hypoxia) with disturbed electron flow [13]. Cu(I)-[Cu(ATSM)] is much less stable than Cu(II)-[Cu(ATSM)], resulting in dissociation of copper from the complex, forming H2-ATSM which thus results in the retention of radiocopper. A mechanistic study revealed that unlike brain cells, the retention of stable [Cu(ATSM)] in tumor cells was mostly found in the microsome/cytosol fraction and not in the mitochondrial fraction. It was suggested that the reduction of copper is caused by microsomal and cytosolic enzymes including NADH and NADPH [65]. A recent review by Colombié et al. discussed various controversial aspects of [64Cu][Cu(ATSM)] for imaging tumor hypoxia, concluding that [64Cu][Cu(ATSM)] is more than a hypoxia tracer; its accumulation in tumor cells is also linked to the redox potential and reactive oxygen species which reflects the overreduced cellular state [66]. Although the exact reduction mechanism of copper in the tumor is debated, the foundation of the ligand-based dissociation mechanism is that the Cu(II)-[Cu(ATSM)] complex remains intact after the administration in the blood plasma, until encountering a hypoxic region of the tumor where the Cu(II) can be irreversibly reduced to Cu(I), and subsequently be trapped.

However, studies using ionic copper-64 have raised questions on the in vivo retention mechanism. As mentioned, a direct in vitro and in vivo comparison between [64Cu][Cu(ATSM)] and [64Cu]Cu-acetate has showed essentially mirroring in vivo results of the copper-64 oxygen-dependent uptake and biodistribution, while the in vitro results showed significantly less hypoxia selectivity of [64Cu]Cu-acetate [28]. The same study also reported concerning stability issues of the complexing ligand in mouse blood serum and whole blood in vivo, despite being stable in mouse serum in vitro. Similarly, comparing two recent studies investigating the theranostic potentials of copper-64 with glioblastoma in similar setups but by two different groups, showed surprisingly similar results for [64Cu]CuCl2 study and [64Cu][Cu(ATSM)], having near identical dose-dependent survival rates [29, 62]. Furthermore, a recent pilot study using Cu(I) for PET imaging of experimental melanoma models demonstrated that the in vivo cellular uptake and biodistribution between [64Cu]CuCl2 and [64Cu]CuCl are near identical in B16F10 and A375 tumors in mice, despite significant difference in in vitro cellular uptake, providing evidence to further question the conventional explanation of the copper trapping mechanism of [*Cu][Cu(ATSM)] [67]. Pérès et al. recently reported a direct comparison between [64Cu][Cu(ATSM)] and [64Cu]CuCl2 both in vivo and in vitro in the glioblastoma C6 model [68]. In vivo, both [64Cu][Cu(ATSM)] and [64Cu]CuCl2 showed significantly elevated accumulation in the hypoxic regions as confirmed by overlapping ex vivo autoradiographs with [18F]F-MISO and pimonidazole staining, but where [64Cu][Cu(ATSM)] also stained some non-hypoxic regions with high expression of copper transporters [68]. [64Cu][Cu(ATSM)] showed greater uptake in both healthy brain and malignant tumors than [64Cu]CuCl2, while [64Cu]CuCl2 showed a greater tumor/brain ratio [68]. In vitro, elevated accumulation of [64Cu][Cu(ATSM)] was detected in severe hypoxia (pO2 < 0.5%), which further increased with decreasing oxygen concentration. Accumulation of [64Cu]CuCl2 was elevated at pO2 < 5%, but with no further significant increase at lower oxygen concentrations [68]. The authors concluded that while both [64Cu][Cu(ATSM)] and [64Cu]CuCl2 could be considered as hypoxia-selective tracers, non-hypoxic accumulation in copper transporters should also be accounted for [68]. Interestingly, in an investigation of the possibility to use [64Cu][Cu(ATSM)] and [64Cu][Cu(PTSM)] as substrates for imaging the multidrug resistant type 1 (MDR1) protein in predicting chemotherapy response, Liu et al. demonstrated in liver tumor mouse models that expression of MDR1 decreased the retention of [64Cu][Cu(ATSM)] and [64Cu][Cu(PTSM)] with enhanced efflux, while knockdown of MDR1 showed inverse effects, which further implies a more complex copper retention mechanism than what was previously proposed [69].

These preclinical results are critical for the understanding of clinical studies using ionic radiocopper salts for PET imaging of tumors, in which the correlation between tumor oxygenation and the radiocopper uptake is much more difficult to address directly. The direct comparisons in preclinical studies have challenged the conventional understanding of the copper uptake mechanism in tumors, in which the role of copper-64 itself in the copper metabolism pathway should be addressed and the function of the ligand is in question due to its potential lack of stability in blood. In fact, an increased number of clinical studies with copper-64-based tracers for PET imaging applications have in recent years used [64Cu]CuCl2, and not [64Cu][Cu(ATSM)] (Table 1). To better understand the copper uptake mechanism, it is necessary to revisit the role of copper and its transportation in mammals.

Copper metabolism

Copper is an essential element in mammals and is required as a cofactor for a number of cuproenzymes, mainly distributed in liver, muscle, bond, and blood [70]. Copper uptake and distribution is regulated by proteins including CTR-1, copper transporter 2 (CTR-2), copper chaperones such as antioxidant protein 1 (Atox1), copper chaperone for superoxide dismutase (CCS), cytochrome c oxidase copper chaperone 17 (Cox17), and the copper transporting adenosine triphosphatases (ATPases) ATP7A and ATP7B, as shown in Fig. 1 [71,72,73]. Free copper ions are typically absent in blood or cytoplasm, since any presence of ionic copper in either Cu(I) or Cu(II) will rapidly associate with three known high-affinity protein carriers including albumin, transcuprein, and ceruloplasmin [70, 74, 75]. Uptake of copper from blood is mainly through the high-affinity CTR-1, which transports copper in the form of Cu(I) into the cells as bioavailable copper in the cytosol [76,77,78]. Explicit evidence has also shown that copper in blood plasma is carried by proteins but not low molecular weight amino acids or complexes [70, 79]. It has been demonstrated that transport of copper from blood uptake contains two phases. In the first phase after injection, copper will be absorbed rapidly by albumin (which contains high-affinity copper(II) binding sites [74, 75]) and transcuprein, and again exclusively bind to proteins but not low molecular weight complexes or as free form, reaching a minimum level in plasma within approximately 2 h [80, 81]. In this phase, the main destinations of copper are the liver (~ 40%), muscles (~ 18%), and the kidneys (~ 6%) [80]. Reemergence of copper in plasma starts from 6 h to approximately 1 day after initial injection at which point the blood copper concentration reaches another maximum, this time incorporated with ceruloplasmin and being transported to other tissues [80].

Fig. 1
figure 1

Simplified illustration of copper transport mechanism. Cu(II) is carried by albumin or transcuprein in blood, and is believed to be reduced to Cu(I) by reductases near the surface of cells. Copper transporter 1 (CTR-1) is the major high-affinity copper transporter, which transports Cu(I) into the cells and deliver to the copper chaperone Cox17, the antioxidant protein 1 (Atox1), or the copper chaperone for superoxide dismutase (CCS). Atox1 further deliver copper to either the copper transporting adenosine triphosphatase (ATPase) ATP7A in neuron/astrocyte cells, or the ATPase ATP7B in the liver, which either pass the copper to target cuproenzymes, or to excretion

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To transport copper into the cells, albumin or transcuprein delivers copper to the extracellular domain of the plasma membrane transporter CTR-1, which then imports copper across the cell membrane and further deliver to copper chaperone proteins [82, 83]. Copper(II) is believed to be reduced to Cu(I) during this stage by metalloreductases, but the exact reduction process and maintenance of Cu(I) with the presence of oxygen before reaching CTR-1 remains unclear [76]. Copper chaperone protein Atox1 delivers Cu(I) to ATP7A (neuron/astrocyte cells) or ATP7B (liver), before it is delivered to the target cuproenzymes, such as cytochrome c oxidase (CCO) in mitochondrial via Cox17 or copper/zinc-superoxide dismutase via CCS [83].

In a copper transport perspective, regulation of CTR-1 is crucial, and in a hypoxic environment, the HIFs mediate the signaling cascade and trigger a series of cellular responses in both normal and cancer tissues [84]. HIFs respond to hypoxia by altering the gene expression involving at least 150 proteins that control critical cellular functions such as metabolism and survival [84]. Under normoxia, HIF-1α is regularly produced and degraded, achieving an equilibrium; under hypoxia, HIF-1α is stabilized, activating transcriptions in combination with other coactivators, including factors that promote the self-renewal capability, multipotency, adaptivity, as well as inhibition of differentiation of CSCs, in effect giving CSCs survival advantages and enhanced self-renewed proliferation [20, 22, 84]. Notably, copper is required for the activation of HIF-1 via HIF-1α binding to the hypoxia-responsive element and the formation of the HIF-1 transcriptional complex [85, 86]. As a result, these studies predict a favorable environment for CSCs and its self-renewing proliferation under hypoxia with the activation of HIF-1, leading to an overall worsened cancer prognosis as well as potential resistance to chemoradiotherapy. Indeed, such correlation has been widely observed and reported in various cancers, including ovarian cancer [87], cervical cancer [88, 89], breast cancer [90], lung cancer [91], bladder cancer [92], and glioma [93].

Similarly, hypoxia has been shown to stimulate the expression of CTR-1 [94], and upregulation of CTR-1 has also been repeatedly reported in hypoxic tumors [25, 29, 95,96,97,98,99]. Peng et al. reported a significantly higher [64Cu]CuCl2 uptake in tumor tissue compared to normal tissue, meanwhile observing a substantial increase of CTR-1 expression in tumor but not in normal tissue [25]. Cai et al. provided in vitro evidence with [64Cu]CuCl2 that by knocking down CTR-1 in tumors, showing that the uptake of [64Cu]CuCl2 was reduced compared to the control group, along with the suppression of tumor cell proliferation [96]. Qin et al. showed high, specific uptake of [64Cu]CuCl2 accompanied by overexpression of CTR-1 in melanoma cell lines [97]. Remarkably, CTR-1 transports copper in the form of Cu(I) instead of copper(II) [76,77,78], thus, if the upregulation of CTR-1 indeed is responsible for the transport of copper to the hypoxic tumor sites, copper(II) must have been disassociated and reduced to Cu(I) in blood, before it is delivered to the tumor through the copper secretory pathway.

Dosimetry

One important aspect to consider when using copper-64-based radiopharmaceuticals for PET diagnostics, and especially for therapeutic applications, is radiation dosimetry. However, such evaluation is difficult due to the complexity of the copper-64 decay scheme, especially when considering absorbed dose from high-LET Auger electron emissions. An early study on the therapeutic effect of [64Cu][Cu-(ATSM)] by Lewis et al. suggested that the absorbed dose from Auger electrons is dependent on the distance between copper-64 ions and the cell nucleus, since the Auger electrons have low energy and very short range in tissue but can induce significant DNA damage in close proximity to the cell nucleus [46]. In an analysis of [60/61/62/64Cu][Cu(ATSM)] by Laforest et al. [100], the biodistribution was measured in five patients using [60Cu][Cu(ATSM)] and the organ doses were calculated according to the Medical Internal Radionuclide Dose (MIRD) method. It was estimated that for [64Cu][Cu(ATSM)] the effective dose was 0.036 mSv/MBq, while the highest organ dose was in the liver with an absorbed dose of 0.390 mGy/MBq [100]. Similarly, in a clinical investigation of [64Cu]CuCl2 PET/CT in prostate cancer staging, Capasso et al. reported that liver is the organ with the highest absorbed dose, with an estimated dose of 0.294 mGy/MBq, approximately ten-fold of the estimated full body dose of 0.0266 mGy/MBq [36]. Concerning that the dosimetry evaluation by Capasso et al. contained limited data points and was not the main focus of the investigation, Avila-Rodriguez et al. evaluated [64Cu]CuCl2 biodistribution and dosimetry in healthy human beings. They estimated that the effective dose was 0.0512 mSv/MBq for men and 0.0618 mSv/MBq for women, while the absorbed dose in the liver was 0.310 mGy/MBq (men) and 0.421 mGy/MBq (women) [101]. For a more comprehensive list of dosimetry estimations in different organs, we refer readers to the original article in reference [101].

A similar dosimetry estimation was also reported by Panichelli et al. in a clinical study of brain tumors involving 19 patients with [64Cu]CuCl2 PET. The highest dose-absorbing organ was the liver, with an absorbed dose of 0.321 mGy/MBq, while the full body dose was estimated to be 0.0312 mGy/MBq [38]. In a recent clinical study using [64Cu]CuCl2 to detect prostate cancer relapse involving 50 patients, Piccardo et al. evaluated the absorbed dose to each organ. The authors reiterated that the critical organ is the liver, as reported by prior study [36], and found that the effective dose for [64Cu]CuCl2 was 0.0283 mSv/MBq, comparable to that of 18F-choline (0.02 mSv/MBq) and [68Ga][Ga-(PSMA)] (0.0236 mSv/MBq) [37]. However, it is worth noting that the absorbed dose for the liver is considerably higher in [64Cu]CuCl2 PET with 0.271 mGy/MBq, compared to 18F-choline (0.0610 mGy/MBq) and 68Ga-PSMA (0.0309 mGy/MBq) [37]. The authors argued that the increased radiation exposure is negligible, although the effects to liver was not specifically discussed [37].

Despite evaluation in several preclinical and clinical studies, the accurate dosimetry of copper-64 to tumor and organs remains yet to be established. As previously mentioned, a detailed and accurate dosimetry description is challenging because of the short-range high-LET Auger electron emission, which is believed to be more radiotoxic than β−/β+ emission and being the main contributor of the therapeutic effect. However, the distance-dependent dose deposit nature complicated the evaluation, since the degree of internalization of copper-64 ions must be taken into account.

Discussion

Reconsidering the copper pathways under tumor hypoxia

Based on our review of copper-64 radiopharmaceuticals in PET imaging and therapeutic purposes, we propose an emphasized role of copper itself in the copper uptake in hypoxic tumors, as shown in Fig. 2. Starting with ionic copper(II) in blood, either from direct injection of ionic copper compounds or through dismantling of copper(II) complexes, copper(II) is quickly reduced to Cu(I) by reductases [102,103,104,105], immediately binding to copper-binding proteins. On the other hand, tumor hypoxia stimulates CTR-1 expression [29, 94], which then binds to Cu(I) and is transported into the tumor cells. With Cu(I) available, hypoxic tumor cells activates HIF-1 [22, 23, 84, 87], triggering a series of effects including promotion of CD133+ CSCs via survival advantages [20, 22, 23, 57, 84, 87, 93], which also enhances the self-renewal ability and inhibits differentiation of CSCs [22, 84, 106]. In effect, this increases the tumor proliferation and generates oxidative stress, resulting in worsened tumor hypoxia [19, 36, 84, 107,108,109]. In the meantime, this picture can also help us to understand the efficiency of copper-64 radiopharmaceuticals in preclinical molecular radiotherapy studies. Clonogenic hypoxic tumors activate HIF-1 and have elevated CTR-1 expression, thus significantly increasing the uptake of copper-64. Localized high concentration of copper-64 emits high-LET Auger electrons at close proximity of these proliferating cancer cells, causing substantial DNA damages and eventually lead to significant tumor reduction.

Fig. 2
figure 2

Possible role of copper in tumor hypoxia. a Cu(II) is reduced to Cu(I) by metalloreductases. b Hypoxic tumor activates the hypoxia-inducible factor 1 (HIF-1). c Activation of HIF-1 promotes cancer stem cells (CSCs) via survival advantages, which d enhances the self-renewal ability and inhibitsdifferentiation of CSCs. e In effect this is in favor of tumor proliferation, which f generates oxidative stress, and g further worsen tumor hypoxia. On the other hand, h tumor hypoxia stimulates copper transporter 1 (CTR-1) expression, increases the production of CTR-1 to i transport incoming Cu(I), j upregulating the HIF-1 expression, where Cu(I) is required

Full size image

Conclusions

Detecting and quantifying tumor hypoxia is one of the most critical yet challenging tasks for cancer management. In this review, we have summarized preclinical and clinical evidence that support the possibility of using both [64Cu][Cu(ATSM)] and ionic 64Cu(II) salts for imaging of tumor hypoxia using PET. These evidences support the possibility of using copper-64-PET to detect and quantify hypoxia in solid tumors in clinical practice and thereby enable the potential to provide more individualized and optimized cancer treatment. In addition, the possibility to use copper-64 as a therapeutic agent provides a promising approach to target clonogenic cancer cells, cancer stem cells, and stem-like cells that are challenging in conventional treatment, and which may contribute to improved patient outcomes. Together, copper-64 radiopharmaceuticals [*Cu][Cu(ATSM)]/[*Cu]CuCl2 have the potential to serve as theranostic agents that can simultaneously provide both diagnostics and treatment for cancer patients.

On the other hand, the current understanding of the copper retention mechanism remains to be fully resolved before using copper for therapeutic purposes in humans. Emerging evidence has challenged the understanding of the metal-ligand dissociation mechanism of Cu(II)-[Cu(ATSM)], specifically questioning the validity of the assumption that the complex can stay intact in blood. Several studies have also addressed the importance to understand the role of copper itself in the retention, although the exact pathways remain unclear and requires further investigations. In summary, the emerging preclinical and clinical studies as well as potential clinical applications of copper-64 radiopharmaceuticals in PET imaging and theranostics would benefit from further mechanistic investigations in order to identify the exact copper retention mechanism.

Availability of data and materials

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

[Cu(ATSM)]:

Copper(II)-diacetyl-bis(N4-methylthiosemicarbazone)

Cu(II)-[Cu(ATSM)]:

Copper(II)-diacetyl-bis(N4-methylthiosemicarbazone), with emphasis on Cu(II)

Cu(I)-[Cu(ATSM)]:

Copper(I)-diacetyl-bis(N4-methylthiosemicarbazone), with emphasis on Cu(I)

[Cu(PTSM)]:

Copper(II)-pyruvaldehyde-bis(N4-methylthiosemicarbazone)

CSCs:

Cancer stem cells

CTR-1:

Copper transporter 1

CTR-2:

Copper transporter 2

*Cu:

Radioactive (β+) copper isotopes, “*” may be replaced by atomic mass numbers

EPR:

Electron paramagnetic resonance

[18F]-FAZA:

[18F]-Fluoroazomycin arabinoside

[18F]-FDG:

[18F]-Fluorodeoxyglucose

[18F]-FMISO:

[18F]-Fluoromisonidazole

fMRI:

Functional magnetic resonance imaging

GBM:

Glioblastoma

HIF-1:

Hypoxia inducible factor 1

HIF-1α:

Hypoxia inducible factor 1, alpha subunit

HRE:

Hypoxia response element

LET:

Linear energy transfer

LLC:

Lewis lung carcinoma cell line

PET:

Positron emission tomography

PSMA:

Prostate specific membrane antigen

SD/MD:

Single dose/multiple dose

References

  1. Vaupel P, Briest S, Höckel M. Hypoxia in breast cancer: pathogenesis, characterization and biological/therapeutic implications. Wien Med Wochenschr. 2002;152(13-14):334–42.

    Article  CAS  PubMed  Google Scholar 

  2. Vaupel P, Harrison L. Tumor hypoxia: causative factors, compensatory mechanisms, and cellular response. Oncologist. 2004;9(Suppl 5):4–9.

    Article  PubMed  Google Scholar 

  3. Höckel M, Vaupel P. Tumor hypoxia: definitions and current clinical, biologic, and molecular aspects. J Natl Cancer Inst. 2001;93(4):266.

    Article  PubMed  Google Scholar 

  4. Bristow RG, Hill RP. Hypoxia and metabolism: Hypoxia, DNA repair and genetic instability. Nat Rev Cancer. 2008;8(3):180–92.

    Article  CAS  PubMed  Google Scholar 

  5. Lee CT, Boss MK, Dewhirst M. Imaging tumor hypoxia to advance radiation oncology. Antioxid Redox Signal. 2014. https://doi.org/10.1089/ars.2013.5759.

  6. Vaupel P. Hypoxia and aggressive tumor phenotype: implications for therapy and prognosis. Oncologist. 2008;13(3):21–6.

    Article  CAS  PubMed  Google Scholar 

  7. Walsh JC, Lebedev A, Aten E, Madsen K, Marciano L, Kolb HC. The clinical importance of assessing tumor hypoxia: relationship of tumor hypoxia to prognosis and therapeutic opportunities. Antioxid Redox Signal. 2014;21(10):1516–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Stone HB, Brown JM, Phillips TL, Sutherland RM. Oxygen in human tumors: correlations between methods of measurement and response to therapy. Summary of a workshop held November 19-20, 1992, at the National Cancer Institute, Bethesda, Maryland. Radiat Res. 1993;136(3):422–34.

    Article  CAS  PubMed  Google Scholar 

  9. Sun X, Niu G, Chan N, Shen B, Chen X. Tumor hypoxia imaging. Mol Imaging Biol. 2011;13(3):399–410.

    Article  PubMed  Google Scholar 

  10. Challapalli A, Carroll L, Aboagye EO. Molecular mechanisms of hypoxia in cancer. Clin Transl Imaging. 2017;5(3):225–53.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Chitneni SK, Palmer GM, Zalutsky MR, Dewhirst MW. Molecular Imaging of Hypoxia. J Nucl Med. 2011;52(2):165–8.

    Article  CAS  PubMed  Google Scholar 

  12. Savi A, Incerti E, Fallanca F, Bettinardi V, Rossetti F, Monterisi C, et al. First evaluation of PET-based human biodistribution and dosimetry of 18F-FAZA, a tracer for imaging tumor hypoxia. J Nucl Med. 2017;58(8):1224–9.

    Article  CAS  PubMed  Google Scholar 

  13. Fujibayashi Y, Taniuchi H, Yonekura Y, Ohtani H, Konishi J, Yokoyama A. Copper-62-ATSM: A new hypoxia imaging agent with high membrane permeability and low redox potential. J Nucl Med. 1997;38(7):1155–60.

    CAS  PubMed  Google Scholar 

  14. Lewis JS, McCarthy DW. Evaluation of 64Cu-ATSM in vitro and in vivo in a hypoxic tumor model. J Nucl Med. 1999;40(1):177–83.

    CAS  PubMed  Google Scholar 

  15. Lewis JS, Sharp TL. Tumor uptake of copper-diacetyl-bis (N4-methylthiosemicarbazone): effect of changes in tissue oxygenation. J Nucl Med. 2001;42:655–61.

    CAS  PubMed  Google Scholar 

  16. Tanaka T, Furukawa T, Fujieda S, Kasamatsu S, Yonekura Y, Fujibayashi Y. Double-tracer autoradiography with Cu-ATSM/FDG and immunohistochemical interpretation in four different mouse implanted tumor models. Nucl Med Biol. 2006;33(6):743–50.

    Article  CAS  PubMed  Google Scholar 

  17. Vāvere AL, Lewis JS. Cu-ATSM: A radiopharmaceutical for the PET imaging of hypoxia. Dalton Trans. 2007;59(43):4893–902.

    Article  CAS  Google Scholar 

  18. Obata A, Yoshimoto M, Kasamatsu S, Naiki H, Takamatsu S, Kashikura K, et al. Intra-tumoral distribution of (64)Cu-ATSM: a comparison study with FDG. Nucl Med Biol. 2003;30(5):529–34.

    Article  CAS  PubMed  Google Scholar 

  19. Oh M, Tanaka T, Kobayashi M, Furukawa T, Mori T, Kudo T, et al. Radio-copper-labeled Cu-ATSM: an indicator of quiescent but clonogenic cells under mild hypoxia in a Lewis lung carcinoma model. Nucl Med Biol. 2009;36(4):419–26.

    Article  CAS  PubMed  Google Scholar 

  20. Yoshii Y, Furukawa T, Kiyono Y, Watanabe R, Waki A, Mori T, et al. Copper-64-diacetyl-bis(N4-methylthiosemicarbazone) accumulates in rich regions of CD133+ highly tumorigenic cells in mouse colon carcinoma. Nucl Med Biol. 2010;37(4):395–404.

    Article  CAS  PubMed  Google Scholar 

  21. Blazek ER, Foutch JL, Maki G. Daoy medulloblastoma cells that express CD133 are radioresistant relative to CD133- cells, and the CD133+ sector is enlarged by hypoxia. Int J Radiat Oncol Biol Phys. 2007;67(1):1–5.

    Article  CAS  PubMed  Google Scholar 

  22. Soeda A, Park M, Lee D, Mintz A, Androutsellis-Theotokis A, McKay RD, et al. Hypoxia promotes expansion of the CD133-positive glioma stem cells through activation of HIF-1alpha. Oncogene. 2009;28(45):3949–59.

    Article  CAS  PubMed  Google Scholar 

  23. Yoshii Y, Yoneda M, Ikawa M, Furukawa T, Kiyono Y, Mori T, et al. Radiolabeled Cu-ATSM as a novel indicator of overreduced intracellular state due to mitochondrial dysfunction: studies with mitochondrial DNA-less ρ0 cells and cybrids carrying MELAS mitochondrial DNA mutation. Nucl Med Biol. 2012;39(2):177–85.

    Article  CAS  PubMed  Google Scholar 

  24. Peng F, Liu J, Wu JS, Lu X, Muzik O. Mouse extrahepatic hepatoma detected on MicroPET using copper (II)-64 chloride uptake mediated by endogenous mouse copper transporter 1. Mol Imaging Biol. 2005;7(5):325–9.

    Article  PubMed  Google Scholar 

  25. Peng F, Lu X, Janisse J, Muzik O, Shields AF. PET of human prostate cancer xenografts in mice with increased uptake of 64CuCl2. J Nucl Med. 2006;47(10):1649–52.

    CAS  PubMed  Google Scholar 

  26. Zhang H, Cai H, Lu X, Muzik O, Peng F. Positron emission tomography of human hepatocellular carcinoma xenografts in mice using copper (II)-64 chloride as a tracer. Acad Radiol. 2011;18(12):1561–8.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Jørgensen JT, Persson M, Madsen J, Kjær A. High tumor uptake of (64)Cu: implications for molecular imaging of tumor characteristics with copper-based PET tracers. Nucl Med Biol. 2013;40(3):345–50.

    Article  PubMed  CAS  Google Scholar 

  28. Hueting R, Kersemans V, Cornelissen B, Tredwell M, Hussien K, Christlieb M, et al. A comparison of the behavior of (64)Cu-acetate and (64)Cu-ATSM in vitro and in vivo. J Nucl Med. 2014;55(1):128–34.

    Article  CAS  PubMed  Google Scholar 

  29. Ferrari C, Asabella AN, Villano C, Giacobbi B, Coccetti D, Panichelli P, et al. Copper-64 dichloride as theranostic agent for glioblastoma multiforme: a preclinical study. Biomed Res Int. 2015;2015:129764.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Evans SM, Koch CJ. Prognostic significance of tumor oxygenation in humans. Cancer Lett. 2003;195(1):1–16.

    Article  CAS  PubMed  Google Scholar 

  31. Dehdashti F, Mintun MA, Lewis JS, Bradley J, Govindan R, Laforest R, et al. In vivo assessment of tumor hypoxia in lung cancer with 60Cu-ATSM. Eur J Nucl Med Mol Imaging. 2003;30(6):844–50.

    Article  CAS  PubMed  Google Scholar 

  32. Dehdashti F, Grigsby PW, Lewis JS, Laforest R, Siegel BA, Welch MJ. Assessing tumor hypoxia in cervical cancer by PET with 60Cu-labeled diacetyl-bis(N4-methylthiosemicarbazone). J Nucl Med. 2008;49(2):201–5.

    Article  CAS  PubMed  Google Scholar 

  33. Kositwattanarerk A, Oh M, Kudo T, Kiyono Y, Mori T, Kimura Y, et al. Different distribution of (62)Cu-ATSM and (18)F-FDG in head and neck cancers. Clin Nucl Med. 2012;37(3):252–7.

    Article  PubMed  Google Scholar 

  34. Dietz DW, Dehdashti F, Grigsby PW, Malyapa RS, Myerson RJ, Picus J, et al. Tumor hypoxia detected by positron emission tomography with 60Cu-ATSM as a predictor of response and survival in patients undergoing Neoadjuvant chemoradiotherapy for rectal carcinoma: a pilot study. Dis Colon Rectum. 2008;51(11):1641–8.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Minagawa Y, Shizukuishi K, Koike I, Horiuchi C, Watanuki K, Hata M, et al. Assessment of tumor hypoxia by 62Cu-ATSM PET/CT as a predictor of response in head and neck cancer: a pilot study. Ann Nucl Med. 2011;25(5):339–45.

    Article  PubMed  Google Scholar 

  36. Capasso E, Durzu S, Piras S, Zandieh S, Knoll P, Haug A, et al. Role of (64)CuCl2 PET/CT in staging of prostate cancer. Ann Nucl Med. 2015;29(6):482–8.

    Article  CAS  PubMed  Google Scholar 

  37. Piccardo A, Paparo F, Puntoni M, Righi S, Bottoni G, Bacigalupo L, et al. (64)CuCl(2) PET/CT in prostate cancer relapse. J Nucl Med. 2018;59(3):444–51.

    Article  CAS  PubMed  Google Scholar 

  38. Panichelli P, Villano C, Cistaro A, Bruno A, Barbato F, Piccardo A, et al. Imaging of brain tumors with copper-64 chloride: early experience and results. Cancer Biother Radiopharm. 2016;31(5):159–67.

    Article  CAS  PubMed  Google Scholar 

  39. Takahashi N, Fujibayashi Y, Yonekura Y, Welch MJ, Waki A, Tsuchida T, et al. Evaluation of 62Cu labeled diacetyl-bis(N4-methylthiosemicarbazone) as a hypoxic tissue tracer in patients with lung cancer. Ann Nucl Med. 2000;14(5):323–8.

    Article  CAS  PubMed  Google Scholar 

  40. Dehdashti F, Grigsby PW, Mintun MA, Lewis JS, Siegel BA, Welch MJ. Assessing tumor hypoxia in cervical cancer by positron emission tomography with 60Cu-ATSM: relationship to therapeutic response-a preliminary report. Int J Radiat Oncol Biol Phys. 2003;55(5):1233–8.

    Article  PubMed  Google Scholar 

  41. Lohith TG, Kudo T, Demura Y, Umeda Y, Kiyono Y, Fujibayashi Y, et al. Pathophysiologic correlation between 62Cu-ATSM and 18F-FDG in lung cancer. J Nucl Med. 2009;50(12):1948–53.

    Article  PubMed  Google Scholar 

  42. Johnson TE, Birky BK. Health physics and radiological health. 4th ed. Philadelphia: Lippincott Williams & Wilkins; 2011.

  43. Raju MR, Amols HI, Bain E, Carpenter SG, Cox RA, Robertson JB. A heavy particle comparative study. Part III: OER and RBE. Br J Radiol. 1978;51(609):712–9.

    Article  CAS  PubMed  Google Scholar 

  44. Tavares AA, Tavares JM. (99m)Tc Auger electrons for targeted tumour therapy: a review. Int J Radiat Biol. 2010;86(4):261–70.

    Article  CAS  PubMed  Google Scholar 

  45. Howell RW. Radiation spectra for Auger-electron emitting radionuclides: report No. 2 of AAPM Nuclear Medicine Task Group No. 6. Med Phys. 1992;19(6):1371–83.

    Article  CAS  PubMed  Google Scholar 

  46. Lewis J, Laforest R, Buettner T, Song S, Fujibayashi Y, Connett J, et al. Copper-64-diacetyl-bis(N4-methylthiosemicarbazone): An agent for radiotherapy. Proc Natl Acad Sci U S A. 2001;98(3):1206–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. McMillan DD, Maeda J, Bell JJ, Genet MD, Phoonswadi G, Mann KA, et al. Validation of 64Cu-ATSM damaging DNA via high-LET Auger electron emission. J Radiat Res. 2015;56(5):784–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Obata A, Kasamatsu S, Lewis JS, Furukawa T, Takamatsu S, Toyohara J, et al. Basic characterization of 64Cu-ATSM as a radiotherapy agent. Nucl Med Biol. 2005;32(1):21–8 Erratum in: Nucl Med Biol. 2005;32(5):559.

    Article  CAS  PubMed  Google Scholar 

  49. Pouget J-P, Santoro L, Raymond L, Chouin N, Bardiès M, Bascoul-Mollevi C, et al. Cell membrane is a more sensitive target than cytoplasm to dense ionization produced by auger electrons. Radiat Res. 2008;170:192–200.

    Article  CAS  PubMed  Google Scholar 

  50. Paillas S, Ladjohounlou R, Lozza C, Pichard A, Boudousq V, Jarlier M, et al. Localized irradiation of cell membrane by Auger electrons is cytotoxic through oxidative stress-mediated nontarget effects. Antioxid Redox Signaling. 2016;25(8):467–84.

    Article  CAS  Google Scholar 

  51. Weeks AJ, Paul RL, Marsden PK, Blower PJ, Lloyd DR. Radiobiological effects of hypoxia-dependent uptake of 64Cu-ATSM: enhanced DNA damage and cytotoxicity in hypoxic cells. Eur J Nucl Med Mol Imaging. 2010;37(2):330–8.

    Article  CAS  PubMed  Google Scholar 

  52. Jordan CT, Guzman ML, Noble M. Cancer stem cells. N Engl J Med. 2006;355(12):1253–61.

    Article  CAS  PubMed  Google Scholar 

  53. Wicha MS, Liu S, Dontu G. Cancer stem cells: an old idea--a paradigm shift. Cancer Res. 2006;66(4):1883–90.

    Article  CAS  PubMed  Google Scholar 

  54. Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature. 2001;414(6859):105–11.

    Article  CAS  PubMed  Google Scholar 

  55. Shiozawa Y, Nie B, Pienta KJ, Morgan TM, Taichman RS. Cancer stem cells and their role in metastasis. Pharmacol Ther. 2013;138(2):285–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Clevers H. The cancer stem cell: premises, promises and challenges. Nat Med. 2011;17(3):313–9.

    Article  CAS  PubMed  Google Scholar 

  57. Yoshii Y, Furukawa T, Kiyono Y, Watanabe R, Mori T, Yoshii H, et al. Internal radiotherapy with copper-64-diacetyl-bis(N4-methylthiosemicarbazone) reduces CD133+ highly tumorigenic cells and metastatic ability of mouse colon carcinoma. Nucl Med Biol. 2011;38(2):151–7.

    Article  CAS  PubMed  Google Scholar 

  58. Righi S, Ugolini M, Bottoni G, Puntoni M, Iacozzi M, Paparo F, et al. Biokinetic and dosimetric aspects of (64)CuCl(2) in human prostate cancer: possible theranostic implications. EJNMMI Res. 2018;8(1):18.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Bleeker FE, Molenaar RJ, Leenstra S. Recent advances in the molecular understanding of glioblastoma. J Neurooncol. 2012;108(1):11–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Hsieh CH, Shyu WC, Chiang CY, Kuo JW, Shen WC, Liu RS. NADPH oxidase subunit 4-mediated reactive oxygen species contribute to cycling hypoxia-promoted tumor progression in glioblastoma multiforme. PLoS One. 2011;6(9):e23945.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Gallego O. Nonsurgical treatment of recurrent glioblastoma. Curr Oncol. 2015;22(4):e273–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Yoshii Y, Matsumoto H, Yoshimoto M, Zhang MR, Oe Y, Kurihara H, et al. Multiple administrations of (64)cu-atsm as a novel therapeutic option for glioblastoma: a translational study using mice with xenografts. Transl Oncol. 2018;11(1):24–30.

    Article  PubMed  Google Scholar 

  63. Matsumoto H, Yoshii Y, Baden A, Kaneko E, Hashimoto H, Suzuki H, et al. Preclinical pharmacokinetic and safety studies of copper-diacetyl-Bis(N4-Methylthiosemicarbazone) (Cu-ATSM): translational studies for internal radiotherapy. Transl Oncol. 2019;12(9):1206–12.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Yoshii Y, Yoshimoto M, Matsumoto H, Furukawa T, Zhang MR, Inubushi M, et al. (64)Cu-ATSM internal radiotherapy to treat tumors with bevacizumab-induced vascular decrease and hypoxia in human colon carcinoma xenografts. Oncotarget. 2017;8(51):88815–26.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Obata A, Yoshimi E, Waki A, Lewis JS, Oyama N, Welch MJ, et al. Retention mechanism of hypoxia selective nuclear imaging/radiotherapeutic agent Cu-diacetyl-bis(N4-methylthiosemicarbazone) (Cu-ATSM) in tumor cells. Ann Nucl Med. 2001;15(6):499–504.

    Article  CAS  PubMed  Google Scholar 

  66. Colombie M, Gouard S, Frindel M, Vidal A, Cherel M, Kraeber-Bodéré F, et al. Focus on the controversial aspects of (64) Cu-ATSM in tumoral hypoxia mapping by PET imaging. Front Med (Lausanne). 2015;2:58.

    Google Scholar 

  67. Jiang L, Tu Y, Hu X, Bao A, Chen H, Ma X, et al. Pilot study of 64Cu(I) for PET imaging of melanoma. Sci Rep. 2017;7(1):797S–10.

    Article  CAS  Google Scholar 

  68. Pérès EA, Toutain J, Paty LP, Divoux D, Ibazizène M, Guillouet S, et al. 64Cu-ATSM/64Cu-Cl2 and their relationship to hypoxia in glioblastoma: a preclinical study. EJNMMI Res. 2019;9(1):10210–5.

    Article  CAS  Google Scholar 

  69. Liu J, Hajibeigi A, Ren G, Lin M, Siyambalapitiyage W, Liu Z, et al. Retention of the radiotracers 64Cu-ATSM and 64Cu-PTSM in human and murine tumors is influenced by MDR1 protein expression. Journal of Nuclear Medicine. Soc Nucl Med. 2009;50(8):1332–9.

    Article  CAS  Google Scholar 

  70. Linder MC. Biochemistry of Copper. Boston: Springer US; 1991. https://doi.org/10.1007/978-1-4757-9432-8.

    Book  Google Scholar 

  71. Lin SJ, Pufahl RA, Dancis A, O'Halloran TV, Culotta VC. A role for the Saccharomyces cerevisiae ATX1 gene in copper trafficking and iron transport. J Biol Chem. 1997;272(14):9215–20.

    Article  CAS  PubMed  Google Scholar 

  72. Klomp LW, Lin SJ, Yuan DS, Klausner RD, Culotta VC, Gitlin JD. Identification and functional expression of HAH1, a novel human gene involved in copper homeostasis. J Biol Chem. 1997;272(14):9221–6.

    Article  CAS  PubMed  Google Scholar 

  73. Gupta A, Lutsenko S. Human copper transporters: mechanism, role in human diseases and therapeutic potential. Future Med Chem. 2009;1(6):1125–42.

    Article  CAS  PubMed  Google Scholar 

  74. Masuoka J, Hegenauer J, Van Dyke BR, Saltman P. Intrinsic stoichiometric equilibrium constants for the binding of zinc(II) and copper(II) to the high affinity site of serum albumin. J Biol Chem. 1993;268(29):21533–7.

    CAS  PubMed  Google Scholar 

  75. Lau SJ, Sarkar B. Ternary coordination complex between human serum albumin, copper (II), and L-histidine. J Biol Chem. 1971;246(19):5938–43.

    CAS  PubMed  Google Scholar 

  76. Kim BE, Nevitt T, Thiele DJ. Mechanisms for copper acquisition, distribution and regulation. Nat Chem Biol. 2008;4(3):176–85.

    Article  CAS  PubMed  Google Scholar 

  77. Maryon EB, Molloy SA, Zimnicka AM, Kaplan JH. Copper entry into human cells: progress and unanswered questions. Biometals. 2007;20(3-4):355–64.

    Article  CAS  PubMed  Google Scholar 

  78. Lee J, Peña MM, Nose Y, Thiele DJ. Biochemical characterization of the human copper transporter Ctr1. J Biol Chem. 2002;277(6):4380–7.

    Article  CAS  PubMed  Google Scholar 

  79. Linder MC. Nutritional biochemistry of copper, with emphasis on the perinatal period. In: Avigliano L, Rossi L, editors. Biochemical Aspects of Human Nutrition; 2010.

    Google Scholar 

  80. Weiss KC, Linder MC. Copper transport in rats involving a new plasma protein. Am J Physiol. 1985;249(1 Pt 1):E77–88.

    CAS  PubMed  Google Scholar 

  81. Linder MC, Wooten L, Cerveza P, Cotton S, Shulze R, Lomeli N. Copper transport. Am J Clin Nutr. 1999;67(suppl):965S–71s.

    Google Scholar 

  82. Shenberger Y, Shimshi A, Ruthstein S. EPR spectroscopy shows that the blood carrier protein, human serum albumin, closely interacts with the N-terminal domain of the copper transporter, Ctr1. J Phys Chem B. 2015;119(14):4824–30.

    Article  CAS  PubMed  Google Scholar 

  83. Prohaska JR, Gybina AA. Intracellular copper transport in mammals. J Nutr. 2004;134(5):1003–6.

    Article  CAS  PubMed  Google Scholar 

  84. Keith B, Simon MC. Hypoxia-inducible factors, stem cells, and cancer. Cell. 2007;129(3):465–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. Martin F, Linden T, Katschinski DM, Oehme F, Flamme I, Mukhopadhyay CK, et al. Copper-dependent activation of hypoxia-inducible factor (HIF)-1: implications for ceruloplasmin regulation. Blood. 2005;105(12):4613–9.

    Article  CAS  PubMed  Google Scholar 

  86. Feng W, Ye F, Xue W, Zhou Z, Kang YJ. Copper regulation of hypoxia-inducible factor-1 activity. Mol Pharmacol. 2009;75(1):174–82.

    Article  CAS  PubMed  Google Scholar 

  87. Qin J, Liu Y, Lu Y, Liu M, Li M, Li J, et al. Hypoxia-inducible factor 1 alpha promotes cancer stem cells-like properties in human ovarian cancer cells by upregulating SIRT1 expression. Sci Rep. 2017;7(1):10592.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  88. Birner P, Schindl M, Obermair A, Plank C, Breitenecker G, Oberhuber G. Overexpression of hypoxia-inducible factor 1alpha is a marker for an unfavorable prognosis in early-stage invasive cervical cancer. Cancer Res. 2000;60(17):4693–6.

    CAS  PubMed  Google Scholar 

  89. Bachtiary B, Schindl M, Pötter R, Dreier B, Knocke TH, Hainfellner JA, et al. Overexpression of hypoxia-inducible factor 1alpha indicates diminished response to radiotherapy and unfavorable prognosis in patients receiving radical radiotherapy for cervical cancer. Clin Cancer Res. 2003;9(6):2234–40.

    CAS  PubMed  Google Scholar 

  90. Bos R, van der Groep P, Greijer AE, Shvarts A, Meijer S, Pinedo HM, et al. Levels of hypoxia-inducible factor-1alpha independently predict prognosis in patients with lymph node negative breast carcinoma. Cancer. 2003;97(6):1573–81.

    Article  PubMed  Google Scholar 

  91. Volm M, Koomägi R. Hypoxia-inducible factor (HIF-1) and its relationship to apoptosis and proliferation in lung cancer. Anticancer Res. 2000;20(3A):1527–33.

    CAS  PubMed  Google Scholar 

  92. Theodoropoulos VE, Lazaris AC, Sofras F, Gerzelis I, Tsoukala V, Ghikonti I, et al. Hypoxia-inducible factor 1 alpha expression correlates with angiogenesis and unfavorable prognosis in bladder cancer. Eur Urol. 2004;46(2):200–8.

    Article  CAS  PubMed  Google Scholar 

  93. Li Z, Bao S, Wu Q, Wang H, Eyler C, Sathornsumetee S, et al. Hypoxia-inducible factors regulate tumorigenic capacity of glioma stem cells. Cancer Cell. 2009;15(6):501–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  94. White C, Kambe T, Fulcher YG, Sachdev SW, Bush AI, Fritsche K, et al. Copper transport into the secretory pathway is regulated by oxygen in macrophages. J Cell Sci. 2009;122(Pt 9):1315–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Hueting R. Radiocopper for the imaging of copper metabolism. J Labelled Comp Radiopharm. 2014;57(4):231–8.

    Article  CAS  PubMed  Google Scholar 

  96. Cai H, Wu J-S, Muzik O, Hsieh J-T, Lee RJ, Peng F. Reduced 64Cu uptake and tumor growth inhibition by knockdown of human copper transporter 1 in xenograft mouse model of prostate cancer. J Nucl Med. 2014;55(4):622–8.

    Article  CAS  PubMed  Google Scholar 

  97. Qin C, Liu H, Chen K, Hu X, Ma X, Lan X, et al. Theranostics of malignant melanoma with 64CuCl2. J Nucl Med. 2014;55(5):812–7.

    Article  CAS  PubMed  Google Scholar 

  98. Safi R, Nelson ER, Chitneni SK, Franz KJ, George DJ, Zalutsky MR, et al. Copper signaling axis as a target for prostate cancer therapeutics. Cancer Res. 2014;74(20):5819–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  99. Boschi A, Martini P, Janevik-Ivanovska E, Duatti A. The emerging role of copper-64 radiopharmaceuticals as cancer theranostics. Drug Discov Today. 2018;23(8):1489–501.

    Article  CAS  PubMed  Google Scholar 

  100. Laforest R, Dehdashti F, Lewis JS, Schwarz SW. Dosimetry of 60/61/62/64Cu-ATSM: a hypoxia imaging agent for PET. EJNMMI. 2005;32(7):764–70.

    CAS  Google Scholar 

  101. Avila-Rodriguez MA, Rios C, Carrasco-Hernandez J, Manrique-Arias JC, Martinez-Hernandez R, García-Pérez FO, et al. Biodistribution and radiation dosimetry of [(64)Cu]copper dichloride: first-in-human study in healthy volunteers. EJNMMI Res. 2017;7(1):98.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. Ohgami RS, Campagna DR, McDonald A, Fleming MD. The Steap proteins are metalloreductases. Blood. 2006;108(4):1388–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Kidane TZ, Farhad R, Lee KJ, Santos A, Russo E, Linder MC. Uptake of copper from plasma proteins in cells where expression of CTR1 has been modulated. BioMetals. 2012;25(4):697–709.

    Article  CAS  PubMed  Google Scholar 

  104. Ramos D, Mar D, Ishida M, Vargas R, Gaite M, Montgomery A, et al. Mechanism of copper uptake from blood plasma ceruloplasmin by mammalian cells. PLoS One. 2016;11(3):e0149516.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  105. Kalinowski DS, Stefani C, Toyokuni S, Ganz T, Anderson GJ, Subramaniam NV, et al. Redox cycling metals: Pedaling their roles in metabolism and their use in the development of novel therapeutics. Biochim Biophys Acta. 2016;1863(4):727–48.

    Article  CAS  PubMed  Google Scholar 

  106. Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, et al. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature. 2006;444(7120):756–60.

    Article  CAS  PubMed  Google Scholar 

  107. Shi X, Zhang Y, Zheng J, Pan J. Reactive oxygen species in cancer stem cells. Antioxid Redox Signal. 2012;16(11):1215–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  108. Brown NS, Bicknell R. Hypoxia and oxidative stress in breast cancer. Oxidative stress: its effects on the growth, metastatic potential and response to therapy of breast cancer. Breast Cancer Res. 2001;3(5):323–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Lapi SE, Lewis JS, Dehdashti F. Evaluation of hypoxia with copper-labeled diacetyl-bis(N-methylthiosemicarbazone). Semin Nucl Med. 2015;45(2):177–85.

    Article  PubMed  PubMed Central  Google Scholar 

  110. Grigsby PW, Malyapa RS, Higashikubo R, Schwarz JK, Welch MJ, Huettner PC, Dehdashti F. Comparison of molecular markers of hypoxia and imaging with (60)Cu-ATSM in cancer of the uterine cervix. Mol Imaging Biol. 2007;9(5):278–83.

    Article  PubMed  Google Scholar 

  111. Lewis JS, Laforest R, Dehdashti F, Grigsby PW, Welch MJ, Siegel BA. An imaging comparison of 64Cu-ATSM and 60Cu-ATSM in cancer of the uterine cervix. J Nucl Med. 2008;49(7):1177–82.

    Article  PubMed  Google Scholar 

  112. Tateishi K, Tateishi U, Sato M, Yamanaka S, Kanno H, Murata H, et al. Application of 62Cu-diacetyl-bis (N4-methylthiosemicarbazone) PET imaging to predict highly malignant tumor grades and hypoxia-inducible factor-1α expression in patients with glioma. Am J Neuroradiol. 2013;34(1):92–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Sato Y, Tsujikawa T, Oh M, Mori T, Kiyono Y, Fujieda S, et al. Assessing tumor hypoxia in head and neck cancer by PET with 62Cu-diacetyl-bis(N4-methylthiosemicarbazone). Clin Nucl Med. 2014;39(12):1027–32.

    Article  PubMed  Google Scholar 

  114. Grassi I, Nanni C, Cicoria G, Blasi C, Bunkheila F, Lopci E, et al. Usefulness of 64Cu-ATSM in head and neck cancer: a preliminary prospective study. Clin Nucl Med. 2014;39(1):e59–63.

    Article  PubMed  Google Scholar 

  115. Tsujikawa T, Asahi S, Oh M, Sato Y, Narita N, Makino A, et al. Assessment of the tumor redox status in head and neck cancer by 62Cu-ATSM PET. PLoS One. 2016;11(5):e0155635.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  116. Lopci E, Grassi I, Rubello D, Colletti PM, Cambioli S, Gamboni A, et al. Prognostic evaluation of disease outcome in solid tumors investigated with 64Cu-ATSM PET/CT. Clin Nucl Med. 2016;41(2):e87–92.

    Article  PubMed  Google Scholar 

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Financial support was received from the Norwegian University of Science and Technology and The Central Norway Regional Health Authority (HMN).

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Authors and Affiliations

  1. Department of Physics, Norwegian University of Science and Technology, Høgskoleringen 5, 7491, Trondheim, Norway

    Tengzhi Liu & Kathrine Røe Redalen

  2. Department of Radiology and Nuclear Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway

    Tengzhi Liu, Morten Karlsen & Anna Maria Karlberg

  3. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway

    Anna Maria Karlberg

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The manuscript was drafted by TL and KRR, and was discussed and critically revised by MK and AMK. All authors read and approved the final manuscript.

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Liu, T., Karlsen, M., Karlberg, A.M. et al. Hypoxia imaging and theranostic potential of [64Cu][Cu(ATSM)] and ionic Cu(II) salts: a review of current evidence and discussion of the retention mechanisms. EJNMMI Res 10, 33 (2020). https://doi.org/10.1186/s13550-020-00621-5

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