Abstract
Redox metabolism plays essential functions in the pathology of cancer and many other diseases. While several radiotracers for imaging redox metabolism have been developed, there are no reports of radiotracers for in vivo imaging of protein oxidation. Here we take the first step towards this goal and describe the synthesis and kinetic properties of a new positron emission tomography (PET) [18F]Fluoro-DCP radiotracer for in vivo imaging of protein sulfenylation. Time course biodistribution and PET/CT studies using xenograft animal models of Head and Neck Squamous Cell Cancer (HNSCC) demonstrate its capability to distinguish between tumors with radiation sensitive and resistant phenotypes consistent with previous reports of decreased protein sulfenylation in clinical specimens of radiation resistant HNSCC. We envision further development of this technology to aid research efforts towards improving diagnosis of patients with radiation resistant tumors.
Keywords: Protein sulfenylation, [18F]F-DCP, PET imaging, Radiation resistance, Head and Neck Squamous Cell Cancer
1. Introduction
Initially regarded as harmful by-products of cellular aerobic metabolism, reactive oxygen species (ROS) have been increasingly appreciated as pivotal signaling molecules that regulate a spectrum of physiological and pathological processes. One of the well-established mechanisms of ROS signaling is through oxidation of a select class of protein cysteine thiols resulting in stable or transient sulfenylation (-SOH) [1]. Intra- or intermolecular protein disulfides (-SS-), persulfides (-SnH), sulfenamides (-SN), sulfinic and sulfonic acids (-SO2H and -SO3H, respectively) and other species are formed upon further reaction of sulfenylated proteins with protein cysteines, small molecule thiols like H2S, or excess ROS [2]. Due to the reversibility of most of these products, these oxidative modifications are ideal protein molecular switches implicated as central mechanisms in the cellular sensing of redox microenvironment, and as regulators of a multitude of processes vital to cellular survival and proliferation.
Elevated ROS have been observed in nearly all cancers and are thought to promote tumor initiation and progression by inducing genome instability and regulating cell survival and proliferation, angiogenesis, and metastasis [[3], [4], [5], [6]]. This shift to a more oxidative state renders cancer cells vulnerable to ROS manipulation and many cancer therapies exploit this vulnerability by either increasing ROS generation or decreasing ROS scavenging [[5], [6], [7]]. Effective treatment of cancer with ionizing radiation also relies on accumulation of ROS and lipid peroxides leading to DNA damage and cell death [8,9] with the exception of radiation resistant tumors, which feature a pattern of low basal ROS and upregulated antioxidant systems [10,11].
To facilitate the investigation of biological redox processes, we reported on synthesis and application of a series of chemical probes for selective labeling of sulfenylated proteins under both in vitro and in vivo conditions over the past years [[12], [13], [14], [15], [16]]. The core principle of reaction and key representative compounds are presented in Fig. 1A. These compounds include BP1, a biotin-tagged analog of (2,4-dioxocyclohexyl)propyl (DCP) [15], which was crucial to the discovery of suppressed protein sulfenylation in clinical specimens of radiation resistant Head and Neck Squamous Cell Cancer (HNSCC) [10,11]. This finding formed the basis of the strategy presented here, where we envisioned that selective profiling of protein sulfenylation could be applied to label sulfenylated proteins in vivo in a manner that is consistent with the radiation response phenotype of the tumors.
Towards this goal, we report here the synthesis of the first positron emission tomography (PET) radiotracer [18F]Fluoro-DCP ([18F]F-DCP) for detection of sulfenylated proteins and its successful application to differentiate radiation resistant from radiation sensitive tumors in xenograft animal models of HNSCC. The proof-of-concept studies were performed using a matched model of radiation response for HNSCC, radiation sensitive SCC-61 and radiation resistant rSCC-61, mimicking radiation response profiles in recurrent tumors. In vivo biodistribution and PET imaging measurements were then extended to include HNSCC tumors generated from radiation sensitive JHU022 and radiation resistant SQ20B cell lines. The overall findings demonstrate proof of principle capability of [18F]F-DCP to differentially profile protein sulfenylation in vivo in a manner consistent with the tumor radiation response phenotype. These initial studies form the basis for further development and validation across the spectrum of tumor phenotypes and in other cancers.
2. Materials and Methods
2.1. Synthesis of F-DCP and [18F]F-DCP
Chemical and radiochemical synthesis of F-DCP and [18F]F-DCP, respectively, is presented in Fig. 1B and C and in detail in the Supplementary Material.
2.2. Kinetic analysis of F-DCP reaction with C165A AhpC-SOH
Recombinant C165A mutant of Salmonella typhimurium AhpC was purified and oxidized as described in previous work [[12], [13], [14], [15], [16], [17]]. The C165A AhpC-SOH (50 μM, also containing -SN and -SO2/3H species) was incubated with a mixture of 2.5 mM dimedone (Sigma) and F-DCP at a molar ratio of 1:0, 1:1, 1:2, and 1:3 at 25 °C in ammonium bicarbonate buffer pH 8.0. Samples were taken and analyzed at different time points (30, 60 min and 90 min) by ESI-TOF MS (Electrospray Ionization Time-of-Flight Mass Spectrometry) on an Agilent 6120 MSD-TOF system. The analysis was performed in positive ion mode with the following settings: capillary voltage: 3.5 kV, nebulizer gas pressure: 30 psig, drying gas flow: 5 L/min, fragmentor voltage: 200 V, skimmer voltage: 65 V, and gas temperature: 325 °C. Processing of data to generate the deconvoluted MS spectra was performed with Agilent MassHunter Workstation software v B.02.00. Kinetics analysis was performed by quantifying peak areas of dimedone and F-DCP AhpC covalent adducts and plotting F/(1-F) against [F-DCP]/[dimedone] in KaleidaGraph [18].
2.3. Serum stability of [18F]F-DCP
The serum stability of [18F]F-DCP was performed following previously published methods [[19], [20], [21]] and human serum (Sigma Aldrich). [18F]F-DCP (∼37–74 MBq) was added to the serum to a final volume of 1 mL, and incubated at 37 °C. [18F]F-DCP and the radioactive serum mixture (∼50 μL) were injected into a Quality Control High-Performance Liquid Chromatography (QC-HPLC, for experimental conditions see Supplementary Material) system at 5 min, 30 min, 1 h, 1.5 h, 2 h, 2.5 h, 3 h and 4 h post-radiotracer synthesis and serum incubation, respectively. There were no additional radiochemical species detected (e.g., resulting from defluorination or metabolic degradation [[22], [23], [24], [25]]).
2.4. In vitro cellular uptake assay
Human HNSCC SCC-61 and rSCC-61 cells extensively characterized in previous publications [10,11,26,27] were utilized for most of the studies here. The SCC-61 cells were obtained from Dr. Ralph Weichselbaum, University of Chicago), and the rSCC-61 cells were generated in vitro by repeated irradiation and selection of a radiation resistant clone [10]. Both SCC-61 and rSCC-61 cells were cultured in DMEM/F12 medium (Gibco) supplemented with 10% FBS (Gibco) and 1% Pen/Strep (Gibco) at 37 °C and 5% CO2. Following PBS washing, cells were spun down, resuspended in growth media, and counted using a hemocytometer.
The in vitro [18F]F-DCP cellular uptake assays were performed following published protocols [19,28,29]. Cells (1 × 105) were seeded into each well of a 6-well culture and incubated overnight. On the day of the assay, fresh solution of non-radioactive compound (10 μM) in the respective cell medium was used as the blocker solution. The blocker solution was added 15 min prior to addition of radiotracer. Cells were then incubated with [18F]F-DCP (37 KBq/well) for 5 min, 30 min, 60 min (n = 3) at 37 °C. Cellular uptake was allowed to proceed for selected time periods and then terminated by rinsing the cells with 1 mL of the ice-cold PBS. Residual fluid was removed by pipette, and 200 μL of 0.1% aqueous sodium dodecylsulfate (SDS) lysis solution was added to each well. The plate was then agitated at room temperature and 1 mL of the lysate was taken from each well for gamma counting. The radioactivity was counted using the Wallac 1480 Wizard gamma counter (PerkinElmer). Additional 20 μL aliquots were taken in triplicate from each well for protein concentration determination using the Pierce bicinchoninic acid protein assay kit. The radioactivity data in each sample from each well were expressed as counts per minute (cpm) and were decay corrected for elapsed time. The cpm values of each well were normalized to the amount of radioactivity added to each well and the protein concentration in the well and expressed as percent uptake relative to the control condition. The data were expressed as percentage injection dose (%ID) per mg of protein present in each well with p values ≤ 0.05 considered statistically significant. As an additional control, rSCC-61 cells were also treated with vehicle (control) and tBuOOH (300 μM, 15 min), followed by addition of [18F]F-DCP for 30 min, washes with PBS, then lysis followed by quantification of protein concentration and radioactivity as above. Similarly, the data were expressed as percentage injection dose (%ID) per mg of protein present in each well with p value ≤ 0.05 considered statistically significant.
2.5. Animal tumor implantation
Female athymic nude mice (Jackson Laboratory; average weight 18–20 g, 6–7 weeks old) were housed in a pathogen-free facility of the Animal Research Program at Wake Forest University School of Medicine under a 12:12 h light/dark cycle and fed ad libitum. All animal experiments were conducted under IACUC approved protocols in compliance with the guidelines for the care and use of research animals established by Wake Forest University Medical School Animal Studies Committee (IACUC# A17-069). SCC-61, rSCC-61, JHU022 and SQ20B cells (1 - 2 × 106) transfected with luciferase were suspended in 50 μL PBS and then mixed with 50 μL of Matrigel (BD Biosciences). The whole mixture was then injected subcutaneously in mice either in the right flank or between the shoulder blades. The presence of viable tumors was confirmed using bioluminescence imaging by injecting 150 mg luciferin/kg body weight (10 μL of 15 mg/mL luciferin/g of body weight) intra-peritoneally 15 min before imaging with IVIS Lumina LT Series III.
2.6. Optical measurements and data analysis
These in vivo experiments were performed according to a protocol approved by the Animal Research Program at Wake Forest University School of Medicine (IACUC# A18-112). SCC-61 or rSCC-61 cells (1 × 106) were suspended in 50 μL PBS and then mixed with 50 μL of Matrigel (BD Biosciences). The whole mixture was then injected in the right flank of the mice subcutaneously. The size of viable tumors was estimated using a caliper and formula V = (W2 x L)/2 where V is tumor volume, W is tumor width, and L is tumor length. Metabolic imaging was performed 1–2 weeks after tumor implantation. The mice were fasted for 6 h prior to each set of optical experiments to maintain minimal variance in metabolic demand among animals [30]. All measured mice received a tail-vein injection of tetramethylrhodamine, ethyl ester (TMRE; 100 μL of 75 μM) first and then a tail-vein injection of 2-deoxy-2-[(7-nitro-2,1,3-benzoxadiazol-4-yl) amino]-d- glucose (2-NBDG; 100 μL of 6 mM) with 20 min delay as reported previously [31,32]. The 2-NBDG uptake at 60 min post 2-NBDG injection and TMRE uptake at 80 min post TMRE injection were used to report final 2-NBDG and TMRE uptake.
A quantitative optical spectroscopy system introduced previously [30,31] was used to perform diffuse reflectance and fluorescence measurements in a darkroom. Optical measurements on animals were performed by placing the fiber probe gently on the tumors and fixing the measurement on the center of the tumor mass [31]. The measured spot size was 2.0-mm in diameter which was determined by the probe size as reported previously [31,32]. Baseline diffuse reflectance and fluorescence spectra were measured from the tumor sites prior to any probe injection. Diffuse reflectance spectra were acquired from 450 nm to 650 nm with an integration time of 3.8 ms. The 2-NDBG fluorescence spectra between 520 nm and 600 nm were measured with an excitation light of 488 nm and an integration time of 2 s. The TMRE fluorescence spectra between 565 nm and 650 nm were obtained with an excitation light of 555 nm and an integration time of 5 s. Optical measurements on each animal were acquired continuously for a period of 80 min. All diffuse reflectance spectra were calibrated using a reflectance puck, while all fluorescence spectra were calibrated with fluorescence standard puck [30,31]. All optical spectral data were processed using the previously developed inverse Monte Carlo (MC) model [30] to extract tissue absorption spectra, tissue background distortion free fluorescence of 2-NBDG, and TMRE [31]. The extracted absorption spectra were processed to estimate oxygen saturation and total hemoglobin concentration [Hb] [33]. The optical measurements at the last time point were used to calculate final 2-NBDG or TMRE uptake.
2.7. MicroPET/CT imaging
MicroPET/CT imaging experiments were performed in SCC-61, JHU022, SQ20B, and rSCC-61 tumor bearing mice (n = 4, 25 ± 2.5 g) using Trifoil PET/CT scanner (1.2 mm resolution and 14 cm axial field of view). Mice were placed in an induction chamber containing ∼2% isoflurane/oxygen then secured to a custom double bed for placement of tail vein catheters; anesthesia was maintained via nose-cone at ∼1% isoflurane/oxygen throughout the scanning. [18F]F-DCP was intravenously injected and scanned 50 min post-injection. A 3 min CT scan was obtained prior to the PET scan. Four SCC-61 tumor bearing mice from the same cohort were used for blocking experiments. These mice received 10 mg/kg 100 μL of F-DCP, 30 min prior to the injection of radiotracer selected based on our in vitro data. The images were reconstructed using TriFoil attenuation correction and Fourier rebinning parameters [20,34]. The reconstructed CT and PET images were co-registered and analyzed using the TriFoil filtered back-projection 3D-OSEM algorithm.
2.8. Biodistribution analysis
Biodistribution experiments were performed first in SCC-61 and rSCC-61 tumor bearing mice (n = 4, 25 ± 2.5 g). Mice were placed in an induction chamber containing ∼2% isoflurane/oxygen and then secured to a custom bed for placement of tail vein catheters. [18F]F-DCP (2.22–2.96 MBq in ∼65–80 μL saline containing 10% ethanol, with a molar activity of 96.57–104.34 GBq/μmol) was administered through tail vein injection. Mice were sacrificed by decapitation via cervical dislocation under anesthesia at 5, 30, 60, 90 and 120 min (n = 4 for each time point). For all other tumor mice biodistribution studies (e.g., Fig. 4: SCC-61, JHU022, SQ20B, and rSCC-61), mice were sacrificed at 60 min post radiotracer injection. The specimens of interest including blood, brain, tumor, heart, lungs, liver, spleen, kidneys, pancreas, muscle and bone were removed, weighed, and counted in an automatic gamma counter (Wallac 2480 Wizard). Radiotracer uptake was calculated as percentages of injected dose per gram of tissue (%ID/g tissue).
2.9. Statistical analysis
Statistical analysis (t-test) was performed using Microsoft Excel and all results are displayed as mean ± standard deviation. Asterisks indicate statistically significant changes [α = 0.05, P values of 0.01–0.05 (*), 0.001–0.01 (**), or <0.001 (***)].
3. Results
3.1. Synthesis and kinetic characterization of [18F]F-DCP and F-DCP
Given the short half-life of fluorine-18 (t1/2 109.7 min) and the projected application of [18F]F-DCP in research and clinical imaging, the synthesis of this derivative needed to meet several requirements: follow a simple and quick synthesis scheme, proceed with high yield, and be compatible with procedures, reagents, and equipment commonly available at hospital PET centers. Considering these needs, we synthesized both the radioactive (fluorine-18) and non-radioactive (fluorine-19) versions of DCP in 2–3 reaction steps (Fig. 1B and C). Detailed synthetic procedures and characterization of chemical species can be found in the Supplementary Material and are summarized here. First, the copper-catalyzed click reaction of the previously described DCP-alkyne [35] with tosylated azide, prepared in two steps from 2-bromoethanol [36] (Supplementary Material Figs. S1A and B), produced the protected tosylated triazole (1, Fig. 1B; Supplementary Material Figs. S2A and B) in 74% chemical yield. Ceric ammonium nitrate oxidation of 1 further generated the requisite precursor 2 for [18F]F- incorporation in 73% chemical yield (Supplementary Material, Figs. S3A and B). From here, the automation of [18F]F-DCP synthesis was carried out on a TRASIS AIO radiochemistry module (n = 10) at the Wake Forest PET Research Facility yielding a final compound of high radiochemical purity (>98%), high molar activity ∼96.57–104.34 GBq/μmol, and a radiochemical yield of 18% (decay corrected to end of synthesis). Radiochemical identity of the tracer was verified by co-injection of the non-radioactive standard F-DCP and HPLC analysis (Supplementary Material Fig. S4). The slight delay in the retention time is due to the travel time of the sample from the UV detector to the radioactivity detector. Radiochemical synthesis, including [18F]F- reaction, HPLC purification, and radiotracer formulation was completed within 40–45 min. The F-DCP was similarly prepared starting with DCP-alkyne and copper-catalyzed click reaction with the previously described fluorinated azide [37] to generate first a protected fluorinated triazole (3, Fig. 1C; Supplemental Figs. S5A and B) in 71% yield. This was followed by ceric ammonium nitrate deprotection to generate F-DCP in 70% yield (Fig. 1C; Supplemental Figs. S6A and C).
Next, we investigated the selectivity and kinetics of the new F-DCP derivative towards sulfenylated proteins, using a model recombinant protein, C165A AhpC, and competition experiments employed previously for development of other protein sulfenylation probes [[12], [13], [14], [15], [16], [17]] and as described in the Materials and Methods. C165A AhpC is a mutant of Salmonella typhimurium peroxiredoxin AhpC, which stabilizes mixed reduced (-SH) and oxidized sulfenic (-SOH), sulfenylamide (-SN) and sulfinic (-SO2H) species at the reactive cysteine C46 enabling evaluation of F-DCP reactivity with the oxidized protein. The results in Fig. 1D and E shows F-DCP retains selectivity for sulfenylated C165A AhpC, and displays ∼69% reactivity relative to dimedone, the closest structural analog of the DCP core in F-DCP (dimedone: k 0.13 M-1s-1 [12]; F-DCP: k 0.09 M-1s-1; Fig. 1E).
3.2. [18F]F-DCP serum stability and in vitro cellular uptake
Serum stability is a key qualifier for any diagnostic or therapeutic agent. The serum stability of [18F]F-DCP was assessed by incubation with human serum and HPLC analysis of aliquots extracted at different time points. The data indicate minimum degradation over a 4 h time course with ∼95% of [18F]F-DCP remaining intact at the 4 h time point (Fig. 2A). Having demonstrated the compatibility with in vivo applications from the perspective of serum stability, the next studies focused on the cellular binding efficiency and selectivity of [18F]F-DCP using the matched SCC-61 and rSCC-61 HNSCC cells, which have been thoroughly characterized and reported in previous publications [10,11,26,27]. Compared with the radiation sensitive SCC-61, the rSCC-61 cells display increased resistance to ionizing radiation (SCC-61: SF2 0.35, rSCC-61 SF2 0.66; SF2 - survival fraction at 2 Gy), decreased ROS including cytosolic, mitochondrial and nuclear H2O2, upregulation of antioxidant proteins (e.g., Prx1-3, GST-pi, NQO1) [10], increased mitochondrial MTHFD2 contributing to higher NADPH levels [26], and increased glucose uptake with glucose metabolism being funneled into the Pentose Phosphate Pathway and leading overall to increased NADPH/NADP+ ratio in these cells (SCC-61: 11.1; rSCC-61: 17.5) [11]. The rSCC-61 cells were also characterized by decreased mitochondrial respiration measured by the oxygen consumption rates (SCC-61: 169 pmol/min; rSCC-61: 96 pmol/min) and ATP synthesis (SCC-61: 155 pmol/min; rSCC-61: 83 pmol/min) [11].
Given the richness of information available for this system matching general molecular features that distinguish radiation resistant cells and tumors across HNSCC, the SCC-61 and rSCC-61 cells were utilized in the initial studies to evaluate the capability of [18F]F-DCP to preferentially label radiation sensitive cells and tumors. The first studies measured the [18F]F-DCP in SCC-61 and rSCC-61 cells using the non-radioactive F-DCP as a competing agent. The [18F]F-DCP signal at 5 min, 30 min and 60 min incubation times was 5-, 2.5-, and 2-fold higher, respectively, in SCC-61 compared to the rSCC-61 cells (Fig. 2B), consistent with the higher ROS and protein sulfenylation in SCC-61 cells [10]. The temporal profiles reflect the initial covalent binding of the compound to the membrane proteins, followed by the uptake into the cells and retention as covalent adduct with oxidized proteins, respectively, prior to reaching equilibrium between uptake and efflux. Pre-treatment of SCC-61 cells for 15 min with non-radioactive F-DCP decreased the radioactive signal by ∼60%, while no significant blocking of [18F]F-DCP was observed in the rSCC-61 cells (Fig. 2C), presumably due to the already low [18F]F-DCP signal in these cells. To further provide evidence that the uptake of the [18F]F-DCP is dependent on protein oxidation, we quantified cellular [18F]F-DCP radioactivity in rSCC-61 cells treated with tBuOOH (300 μM, 15 min) relative to vehicle control treatment (Fig. 2D). The results show a statistically significant 44% increase in cellular [18F]F-DCP with tBuOOH treatment.
3.3. In vivo evaluation of [18F]F-DCP using SCC-61 and rSCC-61 derived tumor xenografts
Time-course biodistribution studies using SCC-61 and rSCC-61 xenograft animal models were performed to validate in vivo the findings from the cell culture studies. Mice were sacrificed at 5, 30, 60, 90 and 120 min (n = 4 for each time point) after the injection of [18F]F-DCP. Multiple organs (brain, heart, lung, liver, spleen, pancreas, and kidney), tissues (muscle, tumor), bone and blood were removed, weighed, and residual radioactivity was counted using an automatic gamma-counter. The radiotracer uptake was calculated as percentage of injected dose per gram of biological specimen (tumor, organ, tissue, bone and blood; %ID/g) (Fig. 2E–G). The radioactivity peaked at 30 min in the tumor and gradually washed out from the blood by 120 min. Kidney being the primary excretory organ had the highest residual uptake at 120 min. Importantly, there was no significant bone uptake, suggesting lack of defluorination. Focusing on the tumor, the data showed >60% higher [18F]F-DCP in the radiation sensitive SCC-61 relative to the radiation resistant rSCC-61 tumors (Fig. 2H). The results also showed good tumor-to-muscle ratio with >80% enrichment in the tumor (Fig. 2I) encouraging further investigations.
3.4. Metabolic and vascular characteristics of the SCC-61 and rSCC-61 xenograft tumors
Additional studies were performed to verify that the in vitro redox profiles of SCC-61 and rSCC-61 cells were maintained in vivo and to ensure that the differential labeling of the radiation resistant and sensitive tumors by [18F]F-DCP was not due to differences in tumor perfusion. As noted above, the rSCC-61 cells display higher glucose uptake and lower mitochondrial activity compared with SCC-61 cells [11]. Both glucose uptake and mitochondria membrane polarization in SCC-61 and rSCC-61 tumors were characterized using quantitative optical spectroscopy [30,31]. Glucose uptake was monitored with 2-NBDG (a fluorescent analog of glucose) and mitochondria membrane polarization with TMRE (a cationic fluorescent dye binding to active mitochondria). Importantly, to avoid artifacts associated with analysis of tumors of different volumes, SCC-61 and rSCC-61 tumors with a similar diameter of ∼6 mm were selected for analysis. The results in Fig. 3 show that there was indeed higher 2-NBDG uptake and lower TMRE staining in the rSCC-61 than in the SCC-61 tumors consistent with the previous in vitro findings of increased glucose uptake and decreased mitochondrial respiration in rSCC-61 cells [11]. Furthermore, the analysis of baseline oxygen saturation and hemoglobin [Hb] levels show these to be comparable between the two tumors. Cumulatively, these results demonstrate that noted differences in [18F]F-DCP incorporation are not due to lower perfusion or hypoxia of rSCC-61 tumors but to differences in protein sulfenylation.
3.5. MicroPET/CT imaging and biodistribution in a panel of HNSCC tumors
To further demonstrate in vivo the ability of [18F]F-DCP to discriminate between radiation resistant and sensitive tumors, the biodistribution studies were extended to include two additional HNSCC cell lines, the radiation sensitive JHU022 (SF2 0.2) and radiation resistant SQ20B (SF2 0.77). Thus, while the matched SCC-61 and rSCC-61 cell lines mimic recurrence of radiation resistant tumors in the same patient, and SQ20B and JHU022 represent radiation resistant and sensitive cells, respectively, from genetically unique patients.
Subcutaneous tumors were generated in mice by injecting the cells between the shoulder blades to avoid potential interference from the bladder during microPET imaging and using procedures described in Materials and Methods. While orthotopic oral implantation of cells for these studies would have been preferable, this was ultimately not feasible due to concerns regarding the animals’ welfare and experimental limitations (e.g., the tumors can only grow a few millimeters before the animals cannot eat, ease of access for rapid tumor dissection for the time course biodistribution studies, and other considerations). After the presence of the tumor was confirmed through bioluminescence (Fig. 4A, top images), [18F]F-DCP was injected through the tail vein and the tumors were imaged using microPET at 50 min post-injection (3.7 ± 0.74 MBq of [18F]F-DCP, 20 min scan time). Representative axial and sagittal microPET/CT images are shown in Fig. 4A middle and bottom panels, respectively. Data analysis showed a trend where the radiation sensitive tumor had increased average ROIs relative to the radiation resistant tumors: SCC-61 > JHU022 > SQ20B > rSCC-61.
Two SCC-61 tumor-bearing mice from the same cohort were used for blocking experiments with cold F-DCP (Fig. 4B). These two mice received F-DCP, 10 mg/kg, 20 min prior to the injection of [18F]F-DCP. The axial and sagittal microPET/CT images shown in Fig. 4B demonstrate significant blocking of the radiotracer signal by pre-treatment with cold F-DCP, evidencing in vivo the high selectivity of the radioligand. Notably, there was no toxicity noted with the injection of non-radioactive F-DCP at 10 mg/kg (no weight loss over a period of 20 days), a dose 36,000-fold higher than the dose of [18F]F-DCP corresponding to 0.27 μg/kg in these blocking studies.
To quantify the level of radioactivity more precisely across the mouse anatomy, we conducted biodistribution studies similar to those shown in Fig. 2, with the difference that the analysis was performed at a single time point, 60 min post-injection of [18F]F-DCP (Fig. 4C). Overall, the biodistribution analysis showed a statistically significant 2.5-fold increased [18F]F-DCP in the radiation sensitive SCC-61 and JHU022 tumors compared with the radiation resistant SQ20B and rSCC-61 (p 2.3 × 10-6). In general, the larger radioactive signal in the kidney is expected with 60 min post-injection radiotracer analysis.
4. Discussion
Approximately 3.5 million cancer patients worldwide are treated with radiation therapy every year. These include Head and Neck Squamous Cell Cancer (HNSCC) patients, where radiation alone or combined with systemic chemotherapy is applied either as definitive or as adjuvant post-surgical therapy. Toxicity associated with these harsh treatments has significant consequences on breathing, swallowing, and speech functions affecting long-term quality of life. Even when treatment is successful, HNSCC patients often suffer sustained life-long sequelae such as xerostomia, dysphagia, dependence on a gastric tube for nutrition, neck muscle spasms and contractions with significant neck pain, tracheostomy tube, dysphonia, and others. As a result, the suicide rates in HNSCC patients are among the highest (50.5/100,000 person-years) in cancer patients, second only to lung cancer patients (81.4/100,000 person-years) (average rate in US population is 12/100,000 person-years) [38].
Thus, there is a need for strategies to reduce acute and long-term toxic effects of radiation therapy on healthy tissue, and to identify patients with radiation resistant tumors early on so they can be spared from unproductive radiation therapy. These patients could undergo treatment with other potentially life-saving therapies before valuable time is irreversibly lost. As one of the mechanisms by which radiation exerts its effects is through the generation of reactive oxygen species (ROS) [17], redox metabolism has become central to the quest for the discovery of new solutions to these challenges. Indeed, redox-active compounds such as Fe- and Mn-porphyrins [[39], [40], [41]], small molecule thiol precursors (e.g., Ethyol (amifostine)) [42], and alternative anti-inflammatory therapies [43] have been shown to protect healthy tissue from radiation-induced damage and are utilized to alleviate oral mucositis and xerostomia in HNSCC patients. Identification of patients with radiation resistant tumors has been, however, more challenging. While differential [18F]FDG positron emission tomography (PET) scans collected before and after radiation treatment could predict the risk of tumor recurrence [44,45], this approach still requires patients to undergo first treatment with ionizing radiation.
Several PET imaging probes were developed over the years that either react with ROS directly (e.g., ascorbic acid [46,47], and our recent work [48]) or are activated by redox chemistry (e.g., hypoxia imaging agents ATSM, FMISO and FAZA [49]). However, these have limited value as predictors of radiation response in vivo as the relationship between oxygen saturation and ROS is quite complex and low oxygen saturation does not necessarily mean low ROS or protein oxidation as also exemplified by the spectroscopy imaging data presented here. The new PET imaging approach presented here represents the first example of a PET radiotracer targeting protein sulfenylation, which with further development and clinical validation may be able to exploit unique redox features of radiation sensitive and resistant tumors to predict the likelihood of response to radiation therapy before the start of treatment. For these studies, we focused specifically on Human papillomavirus (HPV) negative HNSCC to match the clinical need given the increased prevalence of vaping worldwide [50,51] and the known increased sensitivity to radiation therapy of HPV positive HNSCC [52,53].
Our published studies using a matched model of radiation response for HNSCC found significantly decreased levels of ROS and increased levels of antioxidant proteins in the radiation resistant rSCC-61 cells compared with the radiation sensitive SCC-61 [10,11]. The enzymatic activity of antioxidant proteins was supported in rSCC-61 cells by increased production of NADPH, which is critical to sustain the cycling of cellular peroxiredoxins, major antioxidant enzymes upregulated in radiation resistant cells and involved in degradation of H2O2 and lipid peroxides [26]. Overall, differences in redox metabolism are reflected in the DNA damage and protein oxidation profiles, with the radiation resistant rSCC-61 cells displaying lower level of single and double-strand DNA breaks and lower protein sulfenylation, a finding validated using human HNSCC tumor specimens [10].
Analysis of protein sulfenylation in these studies was enabled by development of the (2,4-dioxocyclohexyl)propyl (DCP) family of sulfenic acid-selective chemical probes [54] (Fig. 1A), which now include a variety of derivatives and tags such as: fluorophores (DCP-FL1, DCP-FL2) [14], biotin (DCP-Bio1, DCP-Bio2, DCP-Bio3 [14]; BP1, containing the reactive 1,3-dicarbonyl DCP component [15]), click-ready tags (DAz/DYn series of azido-/alkyne-analogs of DCP [35,[55], [56], [57]]; linear alkyne beta-ketoesters [16]), and more recently mitochondrial-targeting components (DCP-NEt2C and DCP-Rho1) [12,14]. The goal of the work presented here was to build on the established selectivity of DCP-based reagents towards sulfenylated proteins [12,[14], [15], [16],54], and on the clinical evidence of increased protein sulfenylation in clinical specimens of radiation sensitive HNSCC [10] to develop a first-generation PET radiotracer for imaging protein sulfenylation in vivo.
Thus, [18F]F-DCP and the non-radioactive F-DCP were synthesized and evaluated using recombinant model proteins (Fig. 1), in vitro cell culture (Fig. 2A–D) and in vivo (Fig. 2E–I, Figs. 3 and 4). As described in the Results, the [18F]F-DCP shows very good serum stability (Fig. 2A) and ability to distinguish between radiation sensitive and resistant cells both in cell culture (Fig. 2A–C) and in xenograft mouse models of HNSCC (Fig. 2E–I), and to respond to oxidative challenge (Fig. 2D). Although these studies were carried out using established HNSCC cell line xenograft models in immunodeficient animals, the results are consistent with our previously reported data on human HNSCC tumors suggesting the cancer cells are the dominant contributors of this molecular phenotype. Measurement of vascular parameters using quantitative optical spectroscopy exclude lower perfusion or hypoxia as determinants of decreased [18F]F-DCP incorporation signal in rSCC-61 tumors (Fig. 3). The time course biodistribution analysis of [18F]F-DCP in SCC-61 and rSCC-61 xenograft mice (Fig. 2E–I) and the single time point analysis in an extended panel of radiation sensitive and resistant HNSCC tumors (Fig. 4) show consistent tumor-to-muscle ratio and consistent 2–4 fold difference in radiotracer accumulation between the radiation sensitive and resistant tumors. The observed accumulation of [18F]F-DCP in organs such as the kidney and liver is expected given the metabolism and function of these organs. Selective tumor targeting can be achieved as a future goal with other means including the use of aptamers [58], liposomes [59], and others [60]. EGF-liposomes could be particularly useful considering the 80–90% frequency of EGFR overexpression in HNSCC [61].
In conclusion, we have developed a novel PET radiotracer [18F]F-DCP for in vivo detection of protein sulfenylation capable of sensing differences in this oxidative modification between the radiation sensitive and resistant HNSCC cells in vitro and in animal models. We anticipate that such an ability to profile protein oxidation will add to the current tools for in vivo monitoring of protein sulfenylation. The data support potential application of this strategy for identification of radiation resistant tumors before radiation treatment is attempted.
Author contributions
C.M.F. developed the overall concept for the work presented here. Z.L. and S.A.V. performed chemical synthesis of F-DCP and cold precursors of [18F]F-DCP under the supervision of S.B.K. X.C., K.S., T.E.F., B.L.P. and H.W. performed all other experiments under the supervision of C.M.F., A.W.T., and K.K.S.S. Optical measurements and data processing were performed by C.Z. with support from M.M. under the supervision of N.M. and M.D. X.C. provided the animals for these studies. L.B.P. provided critical intellectual feedback for the overall project.
Data and materials availability
Not applicable.
Funding
The authors acknowledge financial support for these studies provided by the Center for Redox Biology and Medicine at Wake Forest School of Medicine (pilot funds to S.B.K.), the Wake Forest Baptist Comprehensive Cancer Center (NIH/NCI P30 CA12197; pilot funds to C.M.F. and support of shared resources facilities), NIH/NCI R42 CA156901 to N.R., and NIH/NIGMS R35 GM135179 to L.B.P..
Declaration of competing interest
C.M.F., S.B.K., and L.B.P. filed a patent application related to the PET probe tested herein. The other authors have declared that no further conflict of interest exists.
Acknowledgments
The authors thank Kimbrell family for the support of high-end mass spectrometry instrumentation in C.M.F.’ s laboratory.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.redox.2021.102218.
Appendix A. Supplementary data
The following are the Supplementary data to this article:
References
- 1.Devarie-Baez N.O., Silva Lopez E.I., Furdui C.M. Biological chemistry and functionality of protein sulfenic acids and related thiol modifications. Free Radic. Res. 2016;50(2):172–194. doi: 10.3109/10715762.2015.1090571. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Poole L.B. The basics of thiols and cysteines in redox biology and chemistry. Free Radic. Biol. Med. 2015;80:148–157. doi: 10.1016/j.freeradbiomed.2014.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sabharwal S.S., Schumacker P.T. Mitochondrial ROS in cancer: initiators, amplifiers or an Achilles' heel? Nat. Rev. Cancer. 2014;14(11):709–721. doi: 10.1038/nrc3803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Liou G.Y., Storz P. Reactive oxygen species in cancer. Free Radic. Res. 2010;44(5):479–496. doi: 10.3109/10715761003667554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pelicano H., Carney D., Huang P. ROS stress in cancer cells and therapeutic implications. Drug Resist. Updates. 2004;7(2):97–110. doi: 10.1016/j.drup.2004.01.004. [DOI] [PubMed] [Google Scholar]
- 6.Reczek C.R., Chandel N.S. The two faces of reactive oxygen species in cancer. Annu. Rev. Cell Biol. 2016;1:79–98. [Google Scholar]
- 7.Gorrini C., Harris I.S., Mak T.W. Modulation of oxidative stress as an anticancer strategy. Nat. Rev. Drug Discov. 2013;12(12):931–947. doi: 10.1038/nrd4002. [DOI] [PubMed] [Google Scholar]
- 8.Damia G., Garattini S. The pharmacological point of view of resistance to therapy in tumors. Cancer Treat Rev. 2014;40(8):909–916. doi: 10.1016/j.ctrv.2014.05.008. [DOI] [PubMed] [Google Scholar]
- 9.Holohan C., Van Schaeybroeck S., Longley D.B., Johnston P.G. Cancer drug resistance: an evolving paradigm. Nat. Rev. Cancer. 2013;13(10):714–726. doi: 10.1038/nrc3599. [DOI] [PubMed] [Google Scholar]
- 10.Bansal N., Mims J., Kuremsky J.G., Olex A.L., Zhao W., Yin L., et al. Broad phenotypic changes associated with gain of radiation resistance in head and neck squamous cell cancer. Antioxidants Redox Signal. 2014;21(2):221–236. doi: 10.1089/ars.2013.5690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Mims J., Bansal N., Bharadwaj M.S., Chen X., Molina A.J., Tsang A.W., et al. Energy metabolism in a matched model of radiation resistance for head and neck squamous cell cancer. Radiat. Res. 2015;183(3):291–304. doi: 10.1667/RR13828.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Holmila R.J., Vance S.A., Chen X., Wu H., Shukla K., Bharadwaj M.S., et al. Mitochondria-targeted probes for imaging protein sulfenylation. Sci. Rep. 2018;8(1):6635. doi: 10.1038/s41598-018-24493-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Klomsiri C., Nelson K.J., Bechtold E., Soito L., Johnson L.C., Lowther W.T., et al. Use of dimedone-based chemical probes for sulfenic acid detection evaluation of conditions affecting probe incorporation into redox-sensitive proteins. Methods Enzymol. 2010;473:77–94. doi: 10.1016/S0076-6879(10)73003-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Poole L.B., Klomsiri C., Knaggs S.A., Furdui C.M., Nelson K.J., Thomas M.J., et al. Fluorescent and affinity-based tools to detect cysteine sulfenic acid formation in proteins. Bioconjugate Chem. 2007;18(6):2004–2017. doi: 10.1021/bc700257a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Qian J., Klomsiri C., Wright M.W., King S.B., Tsang A.W., Poole L.B., et al. Simple synthesis of 1,3-cyclopentanedione derived probes for labeling sulfenic acid proteins. Chem. Commun. (Camb.) 2011;47(32):9203–9205. doi: 10.1039/c1cc12127h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Qian J., Wani R., Klomsiri C., Poole L.B., Tsang A.W., Furdui C.M. A simple and effective strategy for labeling cysteine sulfenic acid in proteins by utilization of beta-ketoesters as cleavable probes. Chem. Commun. (Camb.) 2012;48(34):4091–4093. doi: 10.1039/c2cc17868k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Reisz J.A., Bansal N., Qian J., Zhao W., Furdui C.M. Effects of ionizing radiation on biological molecules--mechanisms of damage and emerging methods of detection. Antioxidants Redox Signal. 2014;21(2):260–292. doi: 10.1089/ars.2013.5489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nelson K.J., Parsonage D., Hall A., Karplus P.A., Poole L.B. Cysteine pK(a) values for the bacterial peroxiredoxin AhpC. Biochemistry. 2008;47(48):12860–12868. doi: 10.1021/bi801718d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Sai K.K.S., Sattiraju A., Almaguel F.G., Xuan A., Rideout S., Krishnaswamy R.S., et al. Peptide-based PET imaging of the tumor restricted IL13RA2 biomarker. Oncotarget. 2017;5 doi: 10.18632/oncotarget.16549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sattiraju A., Pandya D., Solingapuram Sai K., Wadas T., Herpai D., Debinski W., et al. IL13RA2 targeted alpha particle therapy against glioblastoma. J. Nucl. Med. 2016;57(supplement 2):634. doi: 10.18632/oncotarget.17792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wang H.-E., Wu S.-Y., Chang C.-W., Liu R.-S., Hwang L.-C., Lee T.-W., et al. Evaluation of F-18-labeled amino acid derivatives and [18F]FDG as PET probes in a brain tumor-bearing animal model. Nucl. Med. Biol. 2005;32(4):367–375. doi: 10.1016/j.nucmedbio.2005.01.005. [DOI] [PubMed] [Google Scholar]
- 22.Harada R., Furumoto S., Tago T., Katsutoshi F., Ishiki A., Tomita N., et al. Characterization of the radiolabeled metabolite of tau PET tracer 18F-THK5351. Eur. J. Nucl. Med. Mol. Imag. 2016;43(12):2211–2218. doi: 10.1007/s00259-016-3453-y. [DOI] [PubMed] [Google Scholar]
- 23.Jin H., Yue X., Zhang X., Li J., Yang H., Flores H., et al. A promising F-18 labeled PET radiotracer (-)-[18F]VAT for assessing the VAChT in vivo. J. Nucl. Med. 2015;56(supplement 3):4. [Google Scholar]
- 24.Koglin N., Friebe M., Berndt M., Graham K., Krasikova R., Kuznetsova O., et al. [F-18]BAY 85-8050: a novel tumor specific probe for PET imaging - preclinical results. J. Nucl. Med. 2010;51(supplement 2):1535. [Google Scholar]
- 25.Pacelli A., Greenman J., Cawthorne C., Smith G. Imaging COX-2 expression in cancer using PET/SPECT radioligands: current status and future directions. J. Label. Compd. Radiopharm. 2014;57(4):317–322. doi: 10.1002/jlcr.3160. [DOI] [PubMed] [Google Scholar]
- 26.Lewis J.E., Costantini F., Mims J., Chen X., Furdui C.M., Boothman D.A., et al. Genome-scale modeling of NADPH-driven beta-lapachone sensitization in head and neck squamous cell carcinoma. Antioxidants Redox Signal. 2018;29(10):937–952. doi: 10.1089/ars.2017.7048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen X., Liu L., Mims J., Punska E.C., Williams K.E., Zhao W., et al. Analysis of DNA methylation and gene expression in radiation-resistant head and neck tumors. Epigenetics. 2015;10(6):545–561. doi: 10.1080/15592294.2015.1048953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Yamamoto Y., Nishiyama Y., Ishikawa S., Nakano J., Chang S.S., Bandoh S., et al. Correlation of 18F-FLT and 18F-FDG uptake on PET with Ki-67 immunohistochemistry in non-small cell lung cancer. Eur. J. Nucl. Med. Mol. Imag. 2007;34(10):1610–1616. doi: 10.1007/s00259-007-0449-7. [DOI] [PubMed] [Google Scholar]
- 29.Solingapuram Sai K.K., Das B.C., Sattiraju A., Almaguel F.G., Craft S., Mintz A. Radiolabeling and initial biological evaluation of [18F]KBM-1 for imaging RAR-α receptors in neuroblastoma. Bioorg. Med. Chem. Lett. 2017;27(6):1425–1427. doi: 10.1016/j.bmcl.2017.01.093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rajaram N., Reesor A.F., Mulvey C.S., Frees A.E., Ramanujam N. Non-invasive, simultaneous quantification of vascular oxygenation and glucose uptake in tissue. PLoS One. 2015;10(1) doi: 10.1371/journal.pone.0117132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhu C., Martin H.L., Crouch B.T., Martinez A.F., Li M., Palmer G.M., et al. Near-simultaneous quantification of glucose uptake, mitochondrial membrane potential, and vascular parameters in murine flank tumors using quantitative diffuse reflectance and fluorescence spectroscopy. Biomed. Opt Express. 2018;9(7):3399–3412. doi: 10.1364/BOE.9.003399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhu C., Martinez A.F., Martin H.L., Li M., Crouch B.T., Carlson D.A., et al. Near-simultaneous intravital microscopy of glucose uptake and mitochondrial membrane potential, key endpoints that reflect major metabolic axes in cancer. Sci. Rep. 2017;7(1) doi: 10.1038/s41598-017-14226-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Franceschini M.A., Gratton E., Fantini S. Noninvasive optical method of measuring tissue and arterial saturation: an application to absolute pulse oximetry of the brain. Opt. Lett. 1999;24(12):829–831. doi: 10.1364/ol.24.000829. [DOI] [PubMed] [Google Scholar]
- 34.Solingapuram Sai K.K., Prabhakaran J., Ramanathan G., Rideout S., Whitlow C., Mintz A., et al. Radiosynthesis and evaluation of [(11)C]HD-800, a high affinity brain penetrant PET tracer for imaging microtubules. ACS Med. Chem. Lett. 2018;9(5):452–456. doi: 10.1021/acsmedchemlett.8b00060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Bechtold E. Wake Forest University; 2010. Department of Chemistry. [Google Scholar]
- 36.Demko Z.P., Sharpless K.B. An intramolecular [2 + 3] cycloaddition route to fused 5-heterosubstituted tetrazoles. Org. Lett. 2001;3(25):4091–4094. doi: 10.1021/ol010220x. [DOI] [PubMed] [Google Scholar]
- 37.Bai S., Li S., Xu J., Peng X., Sai K., Chu W., et al. Synthesis and structure-activity relationship studies of conformationally flexible tetrahydroisoquinolinyl triazole carboxamide and triazole substituted benzamide analogues as sigma2 receptor ligands. J. Med. Chem. 2014;57(10):4239–4251. doi: 10.1021/jm5001453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Garcia-Peris P., Paron L., Velasco C., de la Cuerda C., Camblor M., Breton I., et al. Long-term prevalence of oropharyngeal dysphagia in head and neck cancer patients: impact on quality of life. Clin. Nutr. 2007;26(6):710–717. doi: 10.1016/j.clnu.2007.08.006. [DOI] [PubMed] [Google Scholar]
- 39.Anderson C.M., Lee C.M., Saunders D.P., Curtis A., Dunlap N., Nangia C., et al. Phase IIb, randomized, double-blind trial of GC4419 versus placebo to reduce severe oral mucositis due to concurrent radiotherapy and cisplatin for head and neck cancer. J. Clin. Oncol. 2019;37(34):3256–3265. doi: 10.1200/JCO.19.01507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Anderson C.M., Sonis S.T., Lee C.M., Adkins D., Allen B.G., Sun W., et al. Phase 1b/2a trial of the superoxide dismutase mimetic GC4419 to reduce chemoradiotherapy-induced oral mucositis in patients with oral cavity or oropharyngeal carcinoma. Int. J. Radiat. Oncol. Biol. Phys. 2018;100(2):427–435. doi: 10.1016/j.ijrobp.2017.10.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Birer S.R., Lee C.T., Choudhury K.R., Young K.H., Spasojevic I., Batinic-Haberle I., et al. Inhibition of the continuum of radiation-induced normal tissue injury by a redox-active Mn porphyrin. Radiat. Res. 2017;188(1):94–104. doi: 10.1667/RR14757.1.S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Brizel D.M., Wasserman T.H., Henke M., Strnad V., Rudat V., Monnier A., et al. Phase III randomized trial of amifostine as a radioprotector in head and neck cancer. J. Clin. Oncol. 2000;18(19):3339–3345. doi: 10.1200/JCO.2000.18.19.3339. [DOI] [PubMed] [Google Scholar]
- 43.Garcia M.K., Meng Z., Rosenthal D.I., Shen Y., Chambers M., Yang P., et al. Effect of true and sham acupuncture on radiation-induced xerostomia among patients with head and neck cancer: a randomized clinical trial. JAMA Netw. Open. 2019;2(12) doi: 10.1001/jamanetworkopen.2019.16910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Purandare N.C., Puranik A.D., Shah S., Agrawal A., Rangarajan V. Post-treatment appearances, pitfalls, and patterns of failure in head and neck cancer on FDG PET/CT imaging. Indian J. Nucl. Med. 2014;29(3):151–157. doi: 10.4103/0972-3919.136564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Castaldi P., Leccisotti L., Bussu F., Micciche F., Rufini V. Role of (18)F-FDG PET-CT in head and neck squamous cell carcinoma. Acta Otorhinolaryngol. Ital. 2013;33(1):1–8. [PMC free article] [PubMed] [Google Scholar]
- 46.Carroll V.N., Truillet C., Shen B., Flavell R.R., Shao X., Evans M.J., et al. [(11)C]Ascorbic and [(11)C]dehydroascorbic acid, an endogenous redox pair for sensing reactive oxygen species using positron emission tomography. Chem. Commun. (Camb.) 2016;52(27):4888–4890. doi: 10.1039/c6cc00895j. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Qin H., Carroll V.N., Sriram R., Villanueva-Meyer J.E., von Morze C., Wang Z.J., et al. Imaging glutathione depletion in the rat brain using ascorbate-derived hyperpolarized MR and PET probes. Sci. Rep. 2018;8(1):7928. doi: 10.1038/s41598-018-26296-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Solingapuram Sai K.K., Bashetti N., Chen X., Norman S., Hines J.W., Meka O., et al. Initial biological evaluations of (18)F-KS1, a novel ascorbate derivative to image oxidative stress in cancer. EJNMMI Res. 2019;9(1):43. doi: 10.1186/s13550-019-0513-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.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) doi: 10.1371/journal.pone.0155635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Flach S., Maniam P., Manickavasagam J. E-cigarettes and head and neck cancers: a systematic review of the current literature. Clin. Otolaryngol. 2019;44(5):749–756. doi: 10.1111/coa.13384. [DOI] [PubMed] [Google Scholar]
- 51.Nocini R., Lippi G., Mattiuzzi C. The worldwide burden of smoking-related oral cancer deaths. Clin. Exp. Dent. Res. 2020;6(2):161–164. doi: 10.1002/cre2.265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Ang K.K., Harris J., Wheeler R., Weber R., Rosenthal D.I., Nguyen-Tan P.F., et al. Human papillomavirus and survival of patients with oropharyngeal cancer. N. Engl. J. Med. 2010;363(1):24–35. doi: 10.1056/NEJMoa0912217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Fakhry C., Westra W.H., Li S., Cmelak A., Ridge J.A., Pinto H., et al. Improved survival of patients with human papillomavirus-positive head and neck squamous cell carcinoma in a prospective clinical trial. J. Natl. Cancer Inst. 2008;100(4):261–269. doi: 10.1093/jnci/djn011. [DOI] [PubMed] [Google Scholar]
- 54.Poole L.B., Zeng B.B., Knaggs S.A., Yakubu M., King S.B. Synthesis of chemical probes to map sulfenic acid modifications on proteins. Bioconjugate Chem. 2005;16(6):1624–1628. doi: 10.1021/bc050257s. [DOI] [PubMed] [Google Scholar]
- 55.Reddie K.G., Seo Y.H., Muse W.B., Iii, Leonard S.E., Carroll K.S. A chemical approach for detecting sulfenic acid-modified proteins in living cells. Mol. Biosyst. 2008;4(6):521–531. doi: 10.1039/b719986d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Seo Y.H., Carroll K.S. Facile synthesis and biological evaluation of a cell-permeable probe to detect redox-regulated proteins. Bioorg. Med. Chem. Lett. 2009;19(2):356–359. doi: 10.1016/j.bmcl.2008.11.073. [DOI] [PubMed] [Google Scholar]
- 57.Truong T.H., Garcia F.J., Seo Y.H., Carroll K.S. Isotope-coded chemical reporter and acid-cleavable affinity reagents for monitoring protein sulfenic acids. Bioorg. Med. Chem. Lett. 2011;21(17):5015–5020. doi: 10.1016/j.bmcl.2011.04.115. [DOI] [PubMed] [Google Scholar]
- 58.Barbas A.S., Mi J., Clary B.M., White R.R. Aptamer applications for targeted cancer therapy. Future Oncol. 2010;6(7):1117–1126. doi: 10.2217/fon.10.67. [DOI] [PubMed] [Google Scholar]
- 59.Zalba S., Contreras A.M., Merino M., Navarro I., de Ilarduya C.T., Troconiz I.F., et al. EGF-liposomes promote efficient EGFR targeting in xenograft colocarcinoma model. Nanomedicine. 2016;11(5):465–477. doi: 10.2217/nnm.15.208. [DOI] [PubMed] [Google Scholar]
- 60.Raut S., Mooberry L., Sabnis N., Garud A., Dossou A.S., Lacko A., Reconstituted H.D.L. Drug delivery platform for overcoming biological barriers to cancer therapy. Front. Pharmacol. 2018;9:1154. doi: 10.3389/fphar.2018.01154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Harari P.M., Wheeler D.L., Grandis J.R. Molecular target approaches in head and neck cancer: epidermal growth factor receptor and beyond. Semin. Radiat. Oncol. 2009;19(1):63–68. doi: 10.1016/j.semradonc.2008.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
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