Abstract
Bevacizumab, an anti-vascular endothelial growth factor (VEGF) antibody, is an antiangiogenic agent clinically used for various cancers. However, repeated use of this agent leads to tumor-decreased vascularity and hypoxia with activation of an HIF-1 signaling pathway, which results in drug delivery deficiency and induction of malignant behaviors in tumors. Here, we developed a novel strategy to treat tumors with bevacizumab-induced vascular decrease and hypoxia using 64Cu-diacetyl-bis (N4-methylthiosemicarbazone) (64Cu-ATSM), a potential theranostic agent, which possesses high tissue permeability and can target over-reduced conditions under hypoxia in tumors, with a human colon carcinoma HT-29 tumor-bearing mouse model. The long-term treatment with bevacizumab caused decreased blood vessel density and activation of an HIF-1 signaling pathway; increased uptake of 64Cu-ATSM was also observed despite limited blood vessel density in HT-29 tumors. In vivo high-resolution SPECT/PET/CT imaging confirmed reduced vascularity and increased proportion of 64Cu-ATSM uptake areas within the bevacizumab-treated tumors. 64Cu-ATSM therapy was effective to inhibit tumor growth and prolong survival of the bevacizumab-treated tumor-bearing mice without major adverse effects. In conclusion, 64Cu-ATSM therapy effectively enhanced anti-tumor effects in tumors with bevacizumab-induced vascular decrease and hypoxia. 64Cu-ATSM therapy could represent a novel approach as an add-on to antiangiogenic therapy.
Keywords: 64Cu-ATSM, angiogenesis, bevacizumab, hypoxia, vascular decrease
INTRODUCTION
Angiogenesis is essential for tumor growth and is a useful target for cancer treatment [1]. Vascular endothelial growth factor (VEGF) is a key component of angiogenesis and the anti-VEGF antibody bevacizumab is widely used in clinical practice as an antiangiogenic agent for many types of cancers such as colorectal, lung, and breast cancer, as well as glioblastoma [1]. Bevacizumab treatment combined with standard chemotherapy is known to prolong survival in patients by inhibiting tumor growth [2]. Clinical studies indicated that the efficacy of bevacizumab therapy is not long-lasting, although bevacizumab treatment initially shows positive effects [3]. Previous studies reported that bevacizumab treatment decreases blood vessel density and induces low perfusion in tumor tissues, which leads to ineffectiveness of bevacizumab treatment via reducing drug delivery [4, 5]. In addition to this, continued use of antiangiogenic agents generates intratumoral hypoxia with stimulation of hypoxia-inducible factor-1 (HIF-1) signaling pathway, which leads to tumor regrowth and metastasis [6]. In order to improve the efficacy of bevacizumab treatment, additional strategies are required to treat tumors with bevacizumab-induced vascular decrease and hypoxia.
In this study, we focused on 64Cu-diacetyl-bis (N4-methylthiosemicarbazone) (64Cu-ATSM), a promising theranostic agent with high tissue permeability and targeting of over-reduced state under hypoxia within tumors [7–17]. Cu-ATSM labeled with various Cu radioisotopes, such as 60Cu, 62Cu, and 64Cu, has been originally developed as an imaging agent targeting the hypoxic regions in tumors for use with positron emission tomography (PET) [7, 9, 13–15, 17, 18]. Preclinical studies have revealed that Cu-ATSM rapidly diffuses into cells and tissues even in low perfusion areas and is trapped within cells under highly reduced conditions such as hypoxia and that tumor uptake of Cu-ATSM shows good correlation with the HIF-1α expression [9, 14, 15, 17, 19–21]. In recent years, clinical PET studies using radiolabeled Cu-ATSM have been conducted for many types of cancers throughout the world. These clinical studies have shown that Cu-ATSM uptake is associated with high HIF-1α expression, therapeutic resistance, metastatic potential, and poor prognosis in tumors [7, 22–25]. Thus, the previous studies indicate a connection between Cu-ATSM uptake and hypoxia with activation of an HIF-1 signaling pathway.
64Cu-ATSM can be used not only as a PET imaging agent but also as a radiotherapeutics against tumors, since 64Cu shows β+ decay (0.653 MeV, 17.4%) as well as β- decay (0.574 MeV, 40%) and electron capture (42.6%). The photons from electron-positron annihilation can be detected by PET, while the β- particles and Auger electrons emitted from this nuclide can damage tumor cells [13, 16, 18, 26]. 64Cu-ATSM reduces the clonogenic survival of tumor cells under hypoxia by inducing post-mitotic apoptosis [13]. This is caused by heavy damage to DNA via high-linear energy transfer (LET) Auger electrons emitted from 64Cu [27]. An in vivo study using tumor-bearing hamsters demonstrated that 64Cu-ATSM treatment increased survival time [18]. These previous studies support the feasibility of 64Cu-ATSM treatment of low vascular and hypoxic tumors, with the high permeability and high-LET radiation.
Here, we hypothesized that 64Cu-ATSM would be effective against tumors with bevacizumab-induced vascular decrease and hypoxia, and examined the efficacy of 64Cu-ATSM using a mouse model.
RESULTS
Tumor blood vessel density, activation of an HIF-1 signaling pathway, and 64Cu-ATSM uptake in bevacizumab-treated HT-29 tumors
To make a bevacizumab-treated tumor model with vascular decrease and hypoxia, HT-29 tumor-bearing mice were treated with bevacizumab (5 mg/kg twice a week) for 3 weeks. The dose and duration of bevacizumab administration was decided based on a previous report, which studied tumor growth with HT-29 xenograft mice under bevacizumab treatment [5]. Prior to the treatment study, we examined the characteristics of this model. Blood vessel density was examined with CD31 immunohistochemistry in the bevacizumab-treated HT-29 tumors and bevacizumab-untreated control. Figure 1A shows representative images of CD31 staining in each tumor and the blood vessel density analyzed based on these. The bevacizumab-treated tumors showed significantly reduced blood vessel density, compared to the control (0.42-fold) (P < 0.05). To examine the hypoxia-induced reaction in the bevacizumab-treated tumors, we evaluated activation of the HIF-1 signaling pathway by DNA microarray-based analysis. Figure 1B shows the pathways significantly activated in the bevacizumab-treated tumors compared to the control. We found that an HIF-1 signaling pathway, which responds to hypoxia [28], was activated in the bevacizumab-treated tumors. Tumor uptake of 64Cu-ATSM was compared in mice with the bevacizumab-treated HT-29 tumors and the control mice. Tumor 64Cu-ATSM uptake was 1.2-fold higher in bevacizumab-treated tumors [the percentage injected dose per gram of tissue (%ID/g) =4.5 ± 0.5] compared to the control (%ID/g=3.7 ± 0.3) (P < 0.05) (Figure 1C). This demonstrated that the bevacizumab-treated tumors accumulated 64Cu-ATSM despite decreased blood vessel density.
In vivo imaging with simultaneous single-photon emission computed tomography/positron emission tomography/computed tomography (SPECT/PET/CT) for intratumoral vascularity and 64Cu-ATSM uptake regions
To further investigate intratumoral vascularity and 64Cu-ATSM uptake regions, in vivo high-resolution dual-isotope simultaneous SPECT/PET/CT imaging [29] with a blood pool-detecting SPECT agent,99mTc-labeled human serum albumin (99mTc-HSA) and a hypoxia-detecting PET agent,64Cu-ATSM, was conducted with bevacizumab-treated HT-29 tumors and the bevacizumab-untreated control. Figure 2A shows representative images and Figure 2B and 2C show the % 99mTc and 64Cu positive uptake regions within tumors obtained from the analysis. The bevacizumab-treated tumors showed a significant decrease in % 99mTc positive uptake regions (0.43-fold) and a significant increase in % 64Cu positive uptake regions within tumors (1.5-fold), compared to the bevacizumab-untreated control (P < 0.05). This indicates reduced vascularity and increased 64Cu-ATSM uptake regions within the bevacizumab-treated tumors.
In vivo treatment study
Next, the efficacy of 64Cu-ATSM treatment against the bevacizumab-treated tumors was examined in vivo. For treatment study, HT-29 tumor-bearing mice were treated with bevacizumab (5 mg/kg twice a week) for three weeks to make the bevacizumab-treated tumor model as described above. The mice were intravenously injected with 64Cu-ATSM (37 MBq) or saline (day 21) and continued to be treated with bevacizumab (bevacizumab+64Cu-ATSM group or bevacizumab alone). The dose of 64Cu-ATSM (37 MBq) used in this study was decided based on toxicity and dosimetry analyses of previous studies, which demonstrated that the dosage results in no significant body weight loss and suggested not to administer radiation doses on the dose-limiting organs beyond the tolerance level [16, 26, 30]. For comparison, groups without bevacizumab treatment were also examined: 64Cu-ATSM (37 MBq) on day 21 (64Cu-ATSM alone-day 21 group); 64Cu-ATSM (37 MBq) on day 7, on which day tumor size was similar to that in the bevacizumab-treated mice on day 21 (64Cu-ATSM alone-day 7 group); saline instead of 64Cu-ATSM (day 21) (control group). In the groups without bevacizumab, saline was injected instead of bevacizumab. Figure 3A shows the change in relative tumor volume with time. Treatment with bevacizumab+64Cu-ATSM showed the greatest inhibition of tumor growth in the examined groups compared to the other groups (P < 0.05). Bevacizumab alone also showed significantly greater inhibition compared to 64Cu-ATSM alone on days 7 and 21 as well as the control group. 64Cu-ATSM alone appeared to inhibiting tumor growth to a higher extent than the control, although no significant difference was observed. Tumor growth time and tumor growth delay for each group are shown in Supplementary Table 1. Bevacizumab+64Cu-ATSM prolonged tumor growth time by 25.2 days compared to the control group. In contrast, bevacizumab alone and 64Cu-ATSM alone (day 21) prolonged tumor growth time by 15.1 days and 2.8 days compared to the control group, respectively (Supplementary Table 1). This means that tumor growth delay of bevacizumab+64Cu-ATSM was much longer than the sum of the tumor growth delay of bevacizumab alone and 64Cu-ATSM alone (day 21), which indicates that co-administration of bevacizumab and 64Cu-ATSM synergistically inhibited tumor growth compared to each single treatment. Figure 3B shows the survival curves. Overall survival following bevacizumab+64Cu-ATSM treatment (58.2 ± 2.2 days) was significantly greater than that observed for bevacizumab alone (41.0 ± 2.7 days), 64Cu-ATSM alone-day 21 (29.0 ± 6.7 days), 64Cu-ATSM alone-day 7 (27.4 ± 3.1 days), and the control (26.0 ± 5.2 days) (P < 0.05). A synergistic effect on overall survival was also shown in the co-administration of bevacizumab and 64Cu-ATSM, compared to each single treatment. Weight loss greater than 10% of the initial body weight was not observed in any treatment group (Figure 4). To evaluate side effects, hematological and biochemical parameters were also measured using tumor-free mice that received similar treatments to the groups of control, bevacizumab alone, 64Cu-ATSM alone-day 21, and bevacizumab+64Cu-ATSM in the in vivo treatment study, respectively. There were no significant reductions in the number of white blood cells, red blood cells, and platelets at any examined time point in the all treatment groups, compared to the starting point (day 21) in the control (Figure 5A). There were no significant differences in any parameters of glutamate oxaloacetate transaminase, glutamate pyruvate transaminase, and alkaline phosphatase for liver function, and urea nitrogen and creatinine for kidney function, when compared to the control (Figure 5B and 5C). These results indicate co-administration of bevacizumab and 64Cu-ATSM did not cause adverse effects in mice.
DISCUSSION
We reported here that 64Cu-ATSM effectively inhibited the growth of HT-29 tumors with bevacizumab-induced vascular decrease and hypoxia, and prolonged the survival of the mice during bevacizumab treatment with negligible toxic side effects. In recent years, bevacizumab has been widely used in antiangiogenesis therapy in clinical practice. Previous studies showed that bevacizumab treatment is known to prolong patient survival; however, repeated use of bevacizumab leads to the therapeutic ineffectiveness [3]. Bevacizumab initially inhibits tumor growth, but continuous use of this agent makes it less effective due to reduced drug delivery and induced hypoxia with activation of an HIF-1 signaling pathway [3–5]. In the present study, we demonstrated that 64Cu-ATSM therapy can be a beneficial approach to treat the tumors with bevacizumab-induced vascular decrease and hypoxia.
The bevacizumab-treated tumors used for this study showed decreased blood vessel density and activation of HIF-1 signaling pathway. Despite the low blood vessel density, uptake of 64Cu-ATSM increased in the tumors. The imaging results showed that 99mTc positive areas were decreased and 64Cu positive areas were increased in bevacizumab-treated tumors. These data indicate that bevacizumab treatment reduced vascularity and activated hypoxia-induced HIF-1 signaling in the tumors, and that 64Cu-ATSM can be delivered into such tumors in which drug delivery is probably limited. 64Cu-ATSM has a high tissue permeability and can be accumulated in hypoxic tissues even where blood perfusion is limited [9, 17]. This high permeability is likely to overcome the difficulties encountered during bevacizumab therapy.
Our results demonstrated that 64Cu-ATSM can inhibit tumor growth in bevacizumab-treated tumors. Our data also indicate that 64Cu-ATSM has synergistic effect on bevacizumab treatment. The increased tumor uptake of 64Cu-ATSM and expansion of 64Cu positive areas within the bevacizumab-treated tumors could be one reason for the synergistic therapeutic effect of 64Cu-ATSM on bevacizumab treatment. In addition, bevacizumab is known to have radiosensitizing effects by inhibiting both the VEGR2/PI3K/Akt/DNA-PKcs signaling pathway and DNA double strand break repair after irradiation [31]. The radiosensitizing effect of bevacizumab on 64Cu-ATSM might also contribute to the synergistic inhibitory effect of 64Cu-ATSM on the growth of the tumors.
Our in vivo treatment study showed that administration of 37 MBq of 64Cu-ATSM had a therapeutic effect against bevacizumab-treated tumors without noticeably increased toxicity levels. We have previously demonstrated that 37 MBq of 64Cu-ATSM was an appropriate dosage for treatment in mice, since it did not cause significant body weight loss and hematotoxicity [16, 26, 30]. In addition, we have estimated the human dosimetry of 64Cu-ATSM based on the time-series biodistribution data in normal organs and tumors using mice bearing HT-29 tumors [16, 30]. The dosimetry studies have demonstrated that liver, red marrow and ovaries were the dose-limiting organs in 64Cu-ATSM therapy and that the estimated radiation doses to those organs in human at the therapeutic dosage of 64Cu-ATSM calculated from 37 MBq per mouse were low enough compared to the reported tolerance doses [16, 30]. These findings suggest that the 64Cu-ATSM therapy during the bevacizumab treatment could be applied to humans. However, careful determination of the administration dosage and timing for 64Cu-ATSM is necessary for human study.
This study has several limitations. Optimal administration timing as well as multiple dosages of 64Cu-ATSM were not examined. These issues should be considered in future preclinical and clinical studies to achieve a more efficient and effective outcome of this combination therapy. In addition, we used a human colon carcinoma HT-29 tumor-bearing mouse model, because colon cancer is one of the most popular target for bevacizumab [1]. The efficacy of the 64Cu-ATSM with bevacizumab in the other types of cancer would be warranted by further studies.
In conclusion, this study demonstrates that 64Cu-ATSM effectively inhibited tumor growth and prolonged the survival without major toxicity in mice bearing tumors with bevacizumab-induced vascular decrease and hypoxia. These findings suggest that 64Cu-ATSM therapy has potential as a new therapeutic option for tumors with long-term bevacizumab treatment in clinical practice.
MATERIALS AND METHODS
Preparation of 64Cu-ATSM
64Cu was produced, purified, and used for synthesis of 64Cu-ATSM according to previously reported procedures [16, 32]. The radiochemical purity of 64Cu-ATSM was determined by silica gel thin-layer chromatography (TLC; silica gel 60; Merck) with ethyl acetate as the mobile phase [33]. Radioactivity on the TLC plates was analyzed with a bioimaging analyzer (FLA-7000; Fujifilm). The radiochemical purity of 64Cu-ATSM was found to be greater than 95%.
Cell culture and animal model
Human colon carcinoma HT-29 cells (HTB-38; American Type Culture Collection) were cultured under standard conditions in Dulbecco’s modified Eagle’s medium (Invitrogen) supplemented with 10% fetal bovine serum.
All animal experimental procedures were approved by the Animal Ethics Committee of the National Institutes for Quantum and Radiological Science and Technology (QST, Chiba, Japan) and conducted in accordance with the institutional guideline. Six-week-old male BALB/c nude mice (20–25 g body weight) were obtained from Japan SLC. HT-29 cells (1 × 107 cells) suspended in phosphate-buffered saline (PBS) were subcutaneously injected into the flanks of the mice. Mice bearing tumors approximately 5 mm in diameter were used for subsequent experiments. To make a bevacizumab-treated tumor model with vascular decrease and hypoxia, HT-29 tumor-bearing mice were treated with bevacizumab (Chugai) (5 mg/kg twice a week) for 3 weeks. To assess decreased vascularity and hypoxia within the tumors treated with bevacizumab for 3 weeks, characterization and imaging studies were performed prior to the treatment study, as follows. Untreated tumors, which reached similar size to the bevacizumab-treated tumors on day 21, were used for control (bevacizumab-untreated control) in the characterization and imaging studies.
Characterization study
To examine blood vessel density, immuno-histochemistry for CD31, a blood vessels marker, was performed using standard protocol with the bevacizumab-treated HT-29 tumors and bevacizumab-untreated control (n = 4). Details are described in Supplementary Methods. Images were obtained with a Leica DM 2500 microscope (Leica). Four observation areas (1155 μm×1530 μm) were randomly selected from each tumor section of four different tumors from each group and the number of blood vessels in the observation areas was determined.
To examine the hypoxia-induced reaction, we evaluated activation of the HIF-1 signaling pathway by DNA microarray-based analysis as reported previously [16], with bevacizumab-treated HT-29 tumors, and compared to the bevacizumab-untreated controls (n=3/group). Details of DNA microarray and pathway analysis are described in Supplementary Methods. The DNA microarray data were deposited in the Gene Expression Omnibus database under accession number GSE86525.
64Cu-ATSM uptake in tumors was examined and compared between mice with the bevacizumab-treated HT-29 tumors and the bevacizumab-untreated control group. Mice were intravenously injected with a tracer dose of 64Cu-ATSM (185 kBq/mouse) (n=4/group) and sacrificed 1 h after the injection. The tumors were collected and weighed. Radioactivities were counted with a γ-counter (1480 Automatic gamma counter Wizard 3; PerkinElmer). The results were shown as %ID/g.
In vivo high-resolution simultaneous SPECT/PET/CT imaging
To examine the intratumoral vascularity and 64Cu-ATSM uptake regions, dual-isotope simultaneous SPECT/PET/CT imaging with 99mTc-HSA and 64Cu-ATSM was performed using a method previously reported [29], with bevacizumab-treated HT-29 tumors and the bevacizumab-untreated control (n=4/group). 99mTc-HSA was prepared using 99mTc-pertechnetate (Nihon Medi-Physics) and Techne Albumin Kit (Fujifilm RI Pharma) according to the manufacturer’s protocol [29]. The VECTor small-animal scanner (MILabs), with a tungsten collimator and NaI(Tl) crystal detectors, which allows in vivo high-resolution SPECT/PET/CT imaging [29], was used in this study. For the imaging study, HT-29 cells suspended in PBS (1 × 107 cells) were subcutaneously injected into the femoral region of the right hind leg to fit the image acquisition using the stage of this system. Fifty min after the intravenous injection of 64Cu-ATSM (37 MBq), 99mTc-HSA (18.5 MBq) was intravenously injected into the mouse. 10 min after 99mTc-HSA administration, simultaneous SPECT/PET/CT scanning was performed for 60 min, focusing on the tumor regions. Injection dose and timing of these tracers were decided based on previous studies [30, 34, 35]. Each probe was dissolved in 100 μl of saline. During the scans, the mice remained under 2% isoflurane anesthesia, and body temperature was maintained with a heater. The mouse PET 0.7 collimator, which contains 48 clusters of four 0.7-mm diameter pinholes placed in 4 rings, and whose central field of view is approximately 12 mm in diameter and 9 mm in longitudinal length [36], was used in this study. Simultaneous SPECT/PET/CT scan was performed by list-mode acquisitions using the manufacturer’s software (version 3.6g3s, MILabs). For CT, non-contrast-enhanced acquisitions were performed with the following parameters: 60 kV tube voltage, 615 μA tube current, partial scan angle, and fast scan mode. The SPECT/PET projections were reconstructed with a pixel-based, ordered-subset expectation maximization algorithm [37] using VECTor software (version 2.38c). The triple-energy window method [38] was used for scatter correction with the following parameters: for 99mTc, photo peak window was set to a width of 29%; background = 10% on left side and 7% on right side of the photo peak; 16 subsets; 15 iterations; 0.4-mm voxel size; no filter; for 64Cu, photo peak window was set to a width of 30.2%; background = 10% on left side and 7% on right side of the photo peak; 32 subsets; 15 iterations; 0.4-mm voxel size; and no filter. These parameters were decided based on [36, 39]. Registration of the reconstructed SPECT, PET, and CT images was performed with the software (version 2.38c). Registered SPECT/PET/CT images were analyzed by the biomedical image quantification software PMOD (PMOD Technologies). Radioactivity density values (kBq/cc) on SPECT and PET images were determined based on calibration with a known activity concentration using the decay correction. With the reconstructed and registered images, the volumes of interest (VOIs) were positioned to cover the tumor regions. The standardized uptake values (SUVs), the mean activity concentration divided by the injected activity per body weight, were calculated for each pixel in the VOIs. The regions with SUVs of 0.5 or more were regarded as positive uptake regions and the percentage of 99mTc and 64Cu positive uptake regions within the VOIs was calculated, respectively.
In vivo treatment study
Mice bearing HT-29 tumors were randomized into five groups (n=5/group). Tumor-bearing mice were treated with bevacizumab (5 mg/kg twice a week) for three weeks to make the bevacizumab-treated tumor model as described above. They were intravenously injected with 64Cu-ATSM (37 MBq) or saline (day 21) and continued to be treated with bevacizumab (bevacizumab+64Cu-ATSM group or bevacizumab alone). Also, the following three groups without bevacizumab treatment were examined for comparison: 64Cu-ATSM (37 MBq) on day 21 (64Cu-ATSM alone-day 21 group); 64Cu-ATSM (37 MBq) on day 7, on which day tumor size was similar to that in the bevacizumab-treated mice on day 21 (64Cu-ATSM alone-day 7 group); saline instead of 64Cu-ATSM (day 21) (control group). In the groups without bevacizumab, saline was injected instead of bevacizumab. During the in vivo treatment study, mice were weighed, and tumor size was measured using precision calipers twice weekly. Tumor volume was calculated using an equation, tumor volume = length × width2 × π/6, and the relative tumor volume was calculated by dividing the tumor volume on each day by that on day 0. The initial tumor volume is shown in Supplementary Table 2. Mice were sacrificed when the tumor volume reached the humane endpoint. Based on the growth curve, tumor growth time and tumor growth delay were also analyzed. Tumor growth time was defined as time in days necessary to reach a 5-fold increase of individual tumor volume from the initial volume. Tumor growth delay was calculated as the difference in mean tumor growth time between the treatment groups and the control.
Measurement of hematological and biochemical parameters
For evaluation of side effects, hematological and biochemical parameters were examined using tumor-free mice that received similar treatments to the groups of control, bevacizumab alone, 64Cu-ATSM alone-day 21, and bevacizumab+64Cu-ATSM in the in vivo treatment study, respectively (n=4/group). Measurements of hematological parameters were performed at the starting point just before 64Cu-ATSM injection (day 21 in the treatment study) and 2, 7, 14, and 21 days after 64Cu-ATSM injection (day 23, 28, 35, and 42 in the treatment study), using blood collected from a tail vein. Concentration of white blood cells, red blood cells, and platelets was determined using a hematological analyzer (Celltac MEK-6458, Nihon Kohden). Biochemical parameters were measured 21 days after 64Cu-ATSM injection (day 42 in the treatment study), using mouse plasma prepared with blood collected from the heart. Levels of glutamate oxaloacetate transaminase, glutamate pyruvate transaminase, and alkaline phosphatase for liver function as well as urea nitrogen and creatinine for kidney function were measured using a blood biochemical analyzer (Dri-Chem 7000VZ, Fuji Film).
Statistical analysis
Data were expressed as means with corresponding standard deviations. P values were calculated using a two-sided t-test for comparisons between two groups. Analysis of variance (ANOVA) was used for comparisons between multiple groups. Tumor growth curves were analyzed using a two-way ANOVA. Differences in survival were evaluated by the log-rank test. P values less than 0.05 were considered statistically significant.
SUPPLEMENTARY MATERIALS TABLES
ACKNOWLEDGMENTS AND FUNDING
We would like to thank Mr. Hisashi Suzuki (QST) and Mr. Naoya Adachi (Toho University) for providing the radiopharmaceuticals and assistance with the image analysis, respectively. This work was supported by the grant of Uehara Memorial Foundation; Diversity Initiative Program of the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT); Project for Cancer Research And Therapeutic Evolution (P-CREATE) of the Japan Agency for Medical Research and Development (AMED).
Author contributions
Y.Y., M.Y., and H.M. designed the study. Y.Y., M.Y., H.M., T.F., M.R.Z., and M.I. performed experiments. Y.Y., M.Y., H.M., A.B.T., Y.F., T.H., and T.S. wrote the paper. All authors discussed the results.
CONFLICTS OF INTEREST
Hiroki Matsumoto is an employee of Nihon Medi-Physics Co., Ltd. All the other authors declare no competing financial interests.
REFERENCES
- 1.Jubb AM, Harris AL. Biomarkers to predict the clinical efficacy of bevacizumab in cancer. Lancet Oncol. 2010;11:1172–1183. doi: 10.1016/S1470-2045(10)70232-1. [DOI] [PubMed] [Google Scholar]
- 2.Welch S, Spithoff K, Rumble RB, Maroun J. Bevacizumab combined with chemotherapy for patients with advanced colorectal cancer: a systematic review. Ann Oncol. 2010;21:1152–1162. doi: 10.1093/annonc/mdp533. [DOI] [PubMed] [Google Scholar]
- 3.Bergers G, Hanahan D. Modes of resistance to anti-angiogenic therapy. Nat Rev Cancer. 2008;8:592–603. doi: 10.1038/nrc2442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Van der Veldt AA, Lubberink M, Bahce I, Walraven M, de Boer MP, Greuter HN, Hendrikse NH, Eriksson J, Windhorst AD, Postmus PE, Verheul HM, Serne EH, Lammertsma AA, et al. Rapid decrease in delivery of chemotherapy to tumors after anti-VEGF therapy: implications for scheduling of anti-angiogenic drugs. Cancer Cell. 2012;21:82–91. doi: 10.1016/j.ccr.2011.11.023. [DOI] [PubMed] [Google Scholar]
- 5.Mesange P, Poindessous V, Sabbah M, Escargueil AE, de Gramont A, Larsen AK. Intrinsic bevacizumab resistance is associated with prolonged activation of autocrine VEGF signaling and hypoxia tolerance in colorectal cancer cells and can be overcome by nintedanib, a small molecule angiokinase inhibitor. Oncotarget. 2014;5:4709–4721. doi: 10.18632/oncotarget.1671. https://doi.org/10.18632/oncotarget.1671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Conley SJ, Gheordunescu E, Kakarala P, Newman B, Korkaya H, Heath AN, Clouthier SG, Wicha MS. Antiangiogenic agents increase breast cancer stem cells via the generation of tumor hypoxia. Proc Natl Acad Sci U S A. 2012;109:2784–2789. doi: 10.1073/pnas.1018866109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.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;49:201–205. doi: 10.2967/jnumed.107.048520. [DOI] [PubMed] [Google Scholar]
- 8.Dehdashti F, Mintun MA, Lewis JS, Bradley J, Govindan R, Laforest R, Welch MJ, Siegel BA. In vivo assessment of tumor hypoxia in lung cancer with 60Cu-ATSM. Eur J Nucl Med Mol Imaging. 2003;30:844–850. doi: 10.1007/s00259-003-1130-4. [DOI] [PubMed] [Google Scholar]
- 9.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;38:1155–1160. [PubMed] [Google Scholar]
- 10.Grigsby PW, Malyapa RS, Higashikubo R, Schwarz JK, Welch MJ, Huettner PC, Dehdashti F. Comparison of molecular markers of hypoxia and imaging with 60Cu-ATSM in cancer of the uterine cervix. Mol Imaging Biol. 2007;9:278–283. doi: 10.1007/s11307-007-0095-2. [DOI] [PubMed] [Google Scholar]
- 11.Lewis JS, McCarthy DW, McCarthy TJ, Fujibayashi Y, Welch MJ. Evaluation of 64Cu-ATSM in vitro and in vivo in a hypoxic tumor model. J Nucl Med. 1999;40:177–183. [PubMed] [Google Scholar]
- 12.Lewis JS, Sharp TL, Laforest R, Fujibayashi Y, Welch MJ. Tumor uptake of copper-diacetyl-bis(N4-methylthiosemicarbazone): effect of changes in tissue oxygenation. J Nucl Med. 2001;42:655–661. [PubMed] [Google Scholar]
- 13.Obata A, Kasamatsu S, Lewis JS, Furukawa T, Takamatsu S, Toyohara J, Asai T, Welch MJ, Adams SG, Saji H, Yonekura Y, Fujibayashi Y. Basic characterization of 64Cu-ATSM as a radiotherapy agent. Nucl Med Biol. 2005;32:21–28. doi: 10.1016/j.nucmedbio.2004.08.012. [DOI] [PubMed] [Google Scholar]
- 14.Obata A, Yoshimi E, Waki A, Lewis JS, Oyama N, Welch MJ, Saji H, Yonekura Y, Fujibayashi Y. Retention mechanism of hypoxia selective nuclear imaging/radiotherapeutic agent cu-diacetyl-bis(N4-methylthiosemicarbazone) (Cu-ATSM) in tumor cells. Ann Nucl Med. 2001;15:499–504. doi: 10.1007/BF02988502. [DOI] [PubMed] [Google Scholar]
- 15.Yoshii Y, Yoneda M, Ikawa M, Furukawa T, Kiyono Y, Mori T, Yoshii H, Oyama N, Okazawa H, Saga T, Fujibayashi Y. Radiolabeled Cu-ATSM as a novel indicator of overreduced intracellular state due to mitochondrial dysfunction: studies with mitochondrial DNA-less rho0 cells and cybrids carrying MELAS mitochondrial DNA mutation. Nucl Med Biol. 2012;39:177–185. doi: 10.1016/j.nucmedbio.2011.08.008. [DOI] [PubMed] [Google Scholar]
- 16.Yoshii Y, Furukawa T, Matsumoto H, Yoshimoto M, Kiyono Y, Zhang MR, Fujibayashi Y, Saga T. Cu-ATSM therapy targets regions with activated DNA repair and enrichment of CD133+ cells in an HT-29 tumor model: Sensitization with a nucleic acid antimetabolite. Cancer Lett. 2016;376:74–82. doi: 10.1016/j.canlet.2016.03.020. [DOI] [PubMed] [Google Scholar]
- 17.Fujibayashi Y, Cutler CS, Anderson CJ, McCarthy DW, Jones LA, Sharp T, Yonekura Y, Welch MJ. Comparative studies of Cu-64-ATSM and C-11-acetate in an acute myocardial infarction model: ex vivo imaging of hypoxia in rats. Nucl Med Biol. 1999;26:117–121. doi: 10.1016/s0969-8051(98)00049-3. [DOI] [PubMed] [Google Scholar]
- 18.Lewis J, Laforest R, Buettner T, Song S, Fujibayashi Y, Connett J, Welch M. Copper-64-diacetyl-bis(N4-methylthiosemicarbazone): An agent for radiotherapy. Proc Natl Acad Sci U S A. 2001;98:1206–1211. doi: 10.1073/pnas.98.3.1206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Holland JP, Giansiracusa JH, Bell SG, Wong LL, Dilworth JR. In vitro kinetic studies on the mechanism of oxygen-dependent cellular uptake of copper radiopharmaceuticals. Phys Med Biol. 2009;54:2103–2119. doi: 10.1088/0031-9155/54/7/017. [DOI] [PubMed] [Google Scholar]
- 20.Bowen SR, van der Kogel AJ, Nordsmark M, Bentzen SM, Jeraj R. Characterization of positron emission tomography hypoxia tracer uptake and tissue oxygenation via electrochemical modeling. Nucl Med Biol. 2011;38:771–780. doi: 10.1016/j.nucmedbio.2011.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Joergensen JT, Madsen J, Kjaer A. PET imaging of hypoxia with 64Cu-ATSM in human ovarian cancer: Comparison of xenografts in mice and rats. Cancer Res. 2011;71:5308. [Google Scholar]
- 22.Dietz DW, Dehdashti F, Grigsby PW, Malyapa RS, Myerson RJ, Picus J, Ritter J, Lewis JS, Welch MJ, Siegel BA. 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;51:1641–1648. doi: 10.1007/s10350-008-9420-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.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;49:1177–1182. doi: 10.2967/jnumed.108.051326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sato Y, Tsujikawa T, Oh M, Mori T, Kiyono Y, Fujieda S, Kimura H, Okazawa H. Assessing tumor hypoxia in head and neck cancer by PET with 62Cu-diacetyl-bis(N4-methylthiosemicarbazone) Clin Nucl Med. 2014;39:1027–1032. doi: 10.1097/RLU.0000000000000537. [DOI] [PubMed] [Google Scholar]
- 25.Tateishi K, Tateishi U, Sato M, Yamanaka S, Kanno H, Murata H, Inoue T, Kawahara N. Application of 62Cu-diacetyl-bis (N4-methylthiosemicarbazone) PET imaging to predict highly malignant tumor grades and hypoxia-inducible factor-1alpha expression in patients with glioma. AJNR Am J Neuroradiol. 2013;34:92–99. doi: 10.3174/ajnr.A3159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yoshii Y, Furukawa T, Kiyono Y, Watanabe R, Mori T, Yoshii H, Asai T, Okazawa H, Welch MJ, Fujibayashi Y. 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;38:151–157. doi: 10.1016/j.nucmedbio.2010.08.009. [DOI] [PubMed] [Google Scholar]
- 27.McMillan DD, Maeda J, Bell JJ, Genet MD, Phoonswadi G, Mann KA, Kraft SL, Kitamura H, Fujimori A, Yoshii Y, Furukawa T, Fujibayashi Y, Kato TA. Validation of 64Cu-ATSM damaging DNA via high-LET Auger electron emission. J Radiat Res. 2015;56:784–791. doi: 10.1093/jrr/rrv042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Masoud GN, Li W. HIF-1alpha pathway: role, regulation and intervention for cancer therapy. Acta Pharm Sin B. 2015;5:378–389. doi: 10.1016/j.apsb.2015.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Adachi N, Yoshii Y, Takako F, Yoshimoto M, Takeuchi Y, Inubushi M, Wakizaka H, Zhang MR, Tsuji AB, Takahashi M, Fujibayashi Y, Saga T. In vivo simultaneous imaging of vascular pool and hypoxia with a HT-29 tumor model: the application of dual-isotope SPECT/PET/CT. Int J Sci Basic Appl Res. 2016;25:26–39. [Google Scholar]
- 30.Yoshii Y, Matsumoto H, Yoshimoto M, Furukawa T, Morokoshi Y, Sogawa C, Zhang MR, Wakizaka H, Yoshii H, Fujibayashi Y, Saga T. Controlled administration of penicillamine reduces radiation exposure in critical organs during 64Cu-ATSM internal radiotherapy: a novel strategy for liver protection. PLoS One. 2014;9:e86996. doi: 10.1371/journal.pone.0086996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gao H, Xue J, Zhou L, Lan J, He J, Na F, Yang L, Deng L, Lu Y. Bevacizumab radiosensitizes non-small cell lung cancer xenografts by inhibiting DNA double-strand break repair in endothelial cells. Cancer Lett. 2015;365:79–88. doi: 10.1016/j.canlet.2015.05.011. [DOI] [PubMed] [Google Scholar]
- 32.Ohya T, Nagatsu K, Suzuki H, Fukada M, Minegishi K, Hanyu M, Fukumura T, Zhang MR. Efficient preparation of high-quality 64Cu for routine use. Nucl Med Biol. 2016;43:685–691. doi: 10.1016/j.nucmedbio.2016.07.007. [DOI] [PubMed] [Google Scholar]
- 33.Jalilian AR, Rostampour N, Rowshanfarzad P, Shafaii K, Kamali-Dehghan M, Akhlaghi M. Preclinical studies of [61Cu]ATSM as a PET radiopharmaceutical for fibrosarcoma imaging. Acta Pharm. 2009;59:45–55. doi: 10.2478/v10007-009-0008-9. [DOI] [PubMed] [Google Scholar]
- 34.Zinn KR, Douglas JT, Smyth CA, Liu HG, Wu Q, Krasnykh VN, Mountz JD, Curiel DT, Mountz JM. Imaging and tissue biodistribution of 99mTc-labeled adenovirus knob (serotype 5) Gene Ther. 1998;5:798–808. doi: 10.1038/sj.gt.3300659. [DOI] [PubMed] [Google Scholar]
- 35.Miwa K, Inubushi M, Takeuchi Y, Katafuchi T, Koizumi M, Saga T, Sasaki M. Performance characteristics of a novel clustered multi-pinhole technology for simultaneous high-resolution SPECT/PET. Ann Nucl Med. 2015;29:460–466. doi: 10.1007/s12149-015-0966-6. [DOI] [PubMed] [Google Scholar]
- 36.Goorden MC, van der Have F, Kreuger R, Ramakers RM, Vastenhouw B, Burbach JPH, Booij J, Molthoff CFM, Beekman FJ. VECTor: A preclinical imaging system for simultaneous submillimeter SPECT and PET. J Nucl Med. 2013;54:306–312. doi: 10.2967/jnumed.112.109538. [DOI] [PubMed] [Google Scholar]
- 37.Branderhorst W, Vastenhouw B, Beekman FJ. Pixel-based subsets for rapid multi-pinhole SPECT reconstruction. Physics Med Biol. 2010;55:2023–2034. doi: 10.1088/0031-9155/55/7/015. [DOI] [PubMed] [Google Scholar]
- 38.Ogawa K, Harata Y, Ichihara T, Kubo A, Hashimoto S. A practical method for position-dependent Compton-scatter correction in single photon emission CT. IEEE Trans Med Imaging. 1991;10:408–412. doi: 10.1109/42.97591. [DOI] [PubMed] [Google Scholar]
- 39.Yang JT, Yamamoto K, Sadato N, Tsuchida T, Takahashi N, Hayashi N, Yonekura Y, Ishii Y. Clinical value of triple-energy window scatter correction in simultaneous dual-isotope single-photon emission tomography with 123I-BMIPP and 201TI. Eur J Nucl Med. 1997;24:1099–1106. doi: 10.1007/BF01254240. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.