The high rate of glucose uptake to fuel the bioenergetic and anabolic demands of proliferating cancer cells is well recognized and is exploited with 18F-2-fluoro-2-deoxy-d-glucose positron emission tomography (18F-FDG–PET) to image tumors clinically. In contrast, enhanced glucose storage as glycogen (glycogenesis) in cancer is less well understood and the availability of a noninvasive method to image glycogen in vivo could provide important biologic insights. Here, we demonstrate that 18F-N-(methyl-(2-fluoroethyl)-1H-[1,2,3]triazole-4-yl)glucosamine (18F-NFTG) annotates glycogenesis in cancer cells and tumors in vivo, measured by PET. Specificity of glycogen labeling was demonstrated by isolating 18F-NFTG–associated glycogen and with stable knockdown of glycogen synthase 1, which inhibited 18F-NFTG uptake, whereas oncogene (Rab25) activation–associated glycogen synthesis led to increased uptake. We further show that the rate of glycogenesis is cell-cycle regulated, enhanced during the nonproliferative state of cancer cells. We demonstrate that glycogen levels, 18F-NFTG, but not 18F-FDG uptake, increase proportionally with cell density and G1–G0 arrest, with potential application in the assessment of activation of oncogenic pathways related to glycogenesis and the detection of posttreatment tumor quiescence. Cancer Res; 74(5); 1319–28. ©2014 AACR.

The majority of tumors exhibit substantially increased levels of glucose uptake and utilization in comparison with nonneoplastic tissues. These tumors use rapid glycolysis and lactate secretion even under normoxic conditions, a phenomenon first reported by Warburg in the 1920s (reviewed in ref. 1). This transition—the Warburg effect (2)—provides a selective advantage for tumor growth, progression, and protection from death (1, 3–5).

In addition to increased glycolytic flux, tumor cells originating from epithelial tissues also accumulate glycogen (6–8). Initially thought to be limited to specific histotypes such as clear cell cancers, recent data suggest that this is a more generalized phenomenon, with potential prognostic and therapeutic implications (9, 10). Glycogen is a branched glucose polymer, and the principal glucose store in mammalian cells. Glycogen is synthesized from the activated glucose donor, uridine diphosphoglucose (UDP), catalyzed by glycogen synthase, the key regulatory enzyme in glycogenesis. Glycogen synthase (GYS) has two isoforms: GYS1 (muscle) and GYS2 (liver; ref. 11), controlled both by allosteric effectors (G-6-P, ATP, and AMP) and by inhibitory phosphorylation of glycogen synthase at multiple sites (12).

Distinct from our perception of the cancer cell as a cell deficient in energy stores requiring glucose uptake and glycolysis to meet energy demands, emerging data suggest that oncogenic signaling and the quiescent state can induce glycogen storage in cancer cells (glycogenesis), and buffer bioenergetic stress. In ovarian cancer, glycogen stores are particularly high in chemoresistant clear cell adenocarcinomas, and the oncogenic small GTPase, Rab25, has recently been shown to increase glycogen stores, resulting in increased resistance to nutrient deprivation–induced bioenergetic stress, therapy-induced apoptosis, and poor prognosis (9). In addition, when cancer cells enter the stationary growth phase (quiescence), like budding yeast (13, 14), they synthesize glycogen (or trehalose), with the switch to growth being associated with diminished glycogenesis (6, 7, 15). Although the molecular mechanisms responsible for enhanced glycogenesis in mammalian cells are not well understood, it can be appreciated that noninvasive assessment of this metabolic switch could have important applications in cancer. Cytotoxic drugs used in cancer chemotherapy generally cause DNA damage, inhibit DNA replication, and/or cell division and are, therefore, active predominantly in proliferative cycling cells. Quiescent cells in tumors, such as dormant cells following chemotherapy and/or stem cells, therefore, exhibit relative chemoresistance.

It is against this background that we sought to develop a novel noninvasive measure of tissue glycogen for clinical use. Previous methods used to detect glycogen, such as the incorporation of tritiated glucose (16), immunocytochemistry (17), or glucose quantification following glycogen hydrolysis (18), are invasive techniques requiring biopsies. These methods also raise concerns about sampling a small region, and the ability to generalize to a heterogeneous tumor, that are well documented (19). More recently, 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl) amino]-2-deoxy-d-glucose (2-NBDG), a fluorescent glucosamine derivative developed to measure cell viability and glucose transport, has been used to quantify glycogen storage in rat hepatocytes in culture (20). Fluorescent imaging of glycogen synthesis by 2-NBDG is ideal for in vitro measurements in intact cells, but poor tissue penetration of the emitted green fluorescence precludes its use in vivo. The substitution of fluoride in 18F-FDG for the C-2 hydroxyl moiety in glucose prevents metabolism past the second step of glycolysis catalyzed by glucose-6-phosphate isomerase; and 18F-FDG is not incorporated into glycogen. In contrast, we present here a noninvasive method for the in vivo detection of glycogen storage by positron emission tomography (PET) exploiting a novel glucosamine derivative, 18F-N-(methyl(2-fluoroethyl)-1H-[1,2,3]triazole-4-yl)glucosamine (18F-NFTG). 18F-NFTG retains the α-proton required for the initial flux into newly formed glycogen, analogous to 2-NBDG (Fig. 1A).

Figure 1.

Effect of Rab25 oncogene overexpression on 2-NBDG and 18F-NFTG cellular accumulation. A, chemical structures of 2-NBDG (i) and NFTG (ii). B, representative Western blot analysis of Rab25 expression in HEY pcDNA and HEY Rab25 cell lines. Actin was used as a loading control. C, fluorescent microscopy images of intracellular 2-NBDG fluorescence in HEY Rab25, HEY pcDNA, and IOSE80ht cells. Images were acquired at the given time points after 2-NBDG removal. Scale bar, 20 μm. Arrows, representative accumulations of punctate fluorescent labeling. All images were acquired at ×400 magnification and are representative of three independent experiments. D, time course of 18F-NFTG uptake in vitro in HEY Rab25 (closed circles) and HEY pcDNA (open circles) cancer cell lines. E, total cellular glycogen in HEY Rab25 and HEY pcDNA cells. F, 18F-NFTG radioactivity in glycogen. Direct 18F-NFTG labeling of pro- and macroglycogen isolated from HEY Rab25 cells 3 hours after radiotracer addition. Counts were normalized for extracted glycogen and presented as a percentage of radioactivity of nonextracted whole-cell lysates. Mean values ± SD (n = 3; *, P < 0.05).

Figure 1.

Effect of Rab25 oncogene overexpression on 2-NBDG and 18F-NFTG cellular accumulation. A, chemical structures of 2-NBDG (i) and NFTG (ii). B, representative Western blot analysis of Rab25 expression in HEY pcDNA and HEY Rab25 cell lines. Actin was used as a loading control. C, fluorescent microscopy images of intracellular 2-NBDG fluorescence in HEY Rab25, HEY pcDNA, and IOSE80ht cells. Images were acquired at the given time points after 2-NBDG removal. Scale bar, 20 μm. Arrows, representative accumulations of punctate fluorescent labeling. All images were acquired at ×400 magnification and are representative of three independent experiments. D, time course of 18F-NFTG uptake in vitro in HEY Rab25 (closed circles) and HEY pcDNA (open circles) cancer cell lines. E, total cellular glycogen in HEY Rab25 and HEY pcDNA cells. F, 18F-NFTG radioactivity in glycogen. Direct 18F-NFTG labeling of pro- and macroglycogen isolated from HEY Rab25 cells 3 hours after radiotracer addition. Counts were normalized for extracted glycogen and presented as a percentage of radioactivity of nonextracted whole-cell lysates. Mean values ± SD (n = 3; *, P < 0.05).

Close modal

Cell culture

IGROV-1 ovarian adenocarcinoma cells were a kind donation from the Institute of Cancer Research (Sutton, Surrey, UK; 2006). Generation of HEY Rab25, HEY pcDNA, and IOSE80ht pcDNA cells have been previously described (21) and were obtained from the MD Anderson Cancer Center (Houston, TX; 2010). All cells were maintained in RPMI-1640 medium, supplemented with 10% fetal calf serum, 2 mmol/L l-glutamine, 100 U/mL penicillin, and 100 μg/mL streptomycin (Invitrogen) and were maintained at 37°C in a humidified atmosphere containing 5% CO2. About cell line authentication, cells were analyzed by short tandem repeat profiling (DNA Diagnostics Centre) using the Promega PowerPlex Fusion System just before publication.

Cell treatments and cell density experiments

The effect of HEY Rab25 cell density on 2-NBDG fluorescence and glycogen immunostaining was performed in 8-well Lab-Tek chamber slides (Thermo Fisher Scientific Inc.), seeded with 1.25 × 104 cells/cm2. Measurements were made at 1, 3, and 6 days after seeding. For all other density-dependent measurements, cells were seeded at 12.8 × 104, 6.4 × 104, 3.2 × 104, and 1.6 × 104 cells/cm2, with analysis performed 24 hour after seeding.

2-NBDG fluorescence microscopy and quantitation

Of note, 2-NBDG fluorescence microscopy was performed as previously described (20). Briefly, cells were incubated with 500 μmol/L 2-NBDG at 37°C for 3 hours in complete growth medium in the dark. Cells were washed three times with warm PBS, followed by fresh warm media. Fluorescence measurements and images were obtained with at ×400 magnification on a Zeiss Axiovert S100 inverted microscope (Carl Zeiss Ltd.). For washout experiments, cells were maintained at 37°C and 5% CO2 within the microscope imaging chamber, with images taken every 20 minutes.

For fluorescence quantitation, HEY Rab25 cells were seeded in black 96-well tissue culture plates (Thermo Fisher Scientific Inc.), at cell densities described above. Approximately 24 hours after seeding, fresh media containing 500 μmol/L 2-NBDG was added to cells. Following 3 hours incubation, cells were washed three times with ice-cold PBS and lysed in 50 μL radioimmunoprecipitation assay (RIPA) buffer (Thermo Fisher Scientific Inc.). Fluorescence was subsequently quantified on a PHERAstarplus fluorescence plate reader (BMG LABTECH GmbH; λEx/Em = 65/540 nm) and normalized for protein content using a bicinchoninic acid (BCA) 96-well plate assay (Thermo Fisher Scientific Inc.).

Quantification of total cellular glycogen

Total cellular glycogen was evaluated in cells, seeded in 10-cm plates for 24 hours. Cells were subsequently evaluated using a colorimetric Glycogen Assay Kit (Biovision), according to the manufacturer's instructions. Samples were transferred to 96-well plates, with colorimetric measurements read in a Tecan Sunrise plate reader at 570 nm. Total cellular glycogen was normalized to protein levels using a BCA assay.

Radiotracer studies

Of note, 18F-NFTG synthesis and radiolabeling was performed according to previously described methodology (22).

In vitro18F-NFTG and 18F-FDG cell uptake

Cells were plated into 6-well plates 24 hours before analysis. For noncell density–dependent measurements, cells were seeded at 2.4 × 105 cells per well of a 6-well plate. A total of 1.0 × 106 cells per well were seeded for GYS1 short-hairpin RNA (shRNA) experiments. On the day of the experiment, fresh growth medium, containing approximately 0.74MBq 18F-NFTG or 18F-FDG, was added to individual wells (1 mL). Cell uptake was measured following incubation at 37°C in a humidified atmosphere of 5% CO2 for 3 hours. The plates were subsequently placed on ice, washed three times with ice-cold PBS and lysed in RIPA buffer (Thermo Fisher Scientific Inc.; 1 mL, 10 minutes). Cell lysates were transferred into counting tubes and decay-corrected radioactivity was determined on a gamma counter (Cobra II Auto-Gamma counter; Packard BioScience Co.). Aliquots were snap-frozen and used for protein determination following radioactive decay by a BCA assay. Data were expressed as percentage of total radioactivity incorporated into cells, normalized for total cellular protein.

Direct glycogen labeling with 18F-NFTG

For the assessment of direct labeling of pro- and macroglycogen with 18F-NFTG, 5.9 × 106 HEY Rab25 cells were seeded in triplicate into 10-cm plates. Twenty-four hours after seeding, approximately 3.7MBq 18F-NFTG were added to wells and incubated for 3 hours at 37°C in a humidified atmosphere containing 5% CO2. Cells were washed three times with ice-cold PBS and scraped into 1 mL of RIPA buffer, 10% trichloroacetic acid or 20% potassium hydroxide, 65% ethanol for analysis of whole-cell lysates, proglycogen, and macroglycogen, respectively. Cells were lysed following 10× passages in an Ultra-Turrax T-25 homogeniser (IKA Werke GmbH and Co. KG). Aliquots were taken for protein analysis, with glycogen isolation performed as in Huang and colleagues (23). Samples were transferred into counting tubes and decay-corrected radioactivity was determined on a gamma counter. Total glycogen was assessed in samples by the glycogen colorimetric assay and glycogen-associated radioactivity was expressed as a percentage of radioactivity in whole-cell lysates, normalized for glycogen content.

RNA interference

Lentiviral plasmid containing a shRNA targeting human GYS1 mRNA was cloned in pLKO1 lentiviral vector (Sigma) using the following sequence: 5′-CCGGCAAGGGCTGCAAGGTGTATTTCTCGAGAAATACACCTTGCAGCCCTTGTTTTTG-3′ (TRCN0000045696). Recombinant lentiviruses were generated using a three-plasmid system in 293T cells as previously described (24). Viral titers were determined on 293T cells and target cells (HEY Rab25) transduced twice at a multiplicity of infection 10. Transduced cells were continuously selected in 1 μg/mL puromycin (Sigma). Knockdown of GYS1 activity was measured by Western blotting.

DNA cell-cycle analysis

DNA-based flow cytometric analysis of cell-cycle progression was performed using propidium iodide in fixed, permeabilized cells according to the standard procedures (25). Cells were analyzed in an FACS Canto Cytometer (BD Biosciences), with 10,000 cells counted per treatment.

Western blotting

Rabbit antibody to Rab25, p27 Kip1, glycogen synthase, cdk-4, pRb, phospho-pRB (Ser807/811), and mouse anti-cyclin D1 and cdk-4 (1:1,000 dilution; Cell Signaling Technology) were used in a standard Western blotting protocol. A rabbit antibody to actin (Sigma-Aldrich Co.; 1:5,000) was used as a loading control.

Metabolism experiments

To measure metabolic rates, 7.5 × 105 cells were plated into 6-cm dishes and cultured until 90% confluent. At time 0, the cells were rinsed in PBS, fed with 2 mL of the test medium, and cultured. Endpoint experiments proceeded for 6 hours, then the medium was collected and analyzed for metabolite abundance. Of note, 0.6 mL tissue culture medium was processed by an automated chemical analyzer to determine glucose, lactate, glutamine, and glutamate concentrations (BioProfile Basic4; NOVA Biomedical). Differences in metabolite concentration between time-0 and end medium were used to calculate rates of nutrient utilization and metabolite excretion, normalized to the cellular protein content of the dish (26).

In vivo tumor models

All animal experiments were performed by licensed investigators in accordance with the United Kingdom Home Office Guidance on the Operation of the Animal (Scientific Procedures) Act 1986 and within published guidelines for the welfare and use of animals in cancer research (27). Female BALB/c nude mice (ages 6–8 weeks; Charles River Laboratories) were used. HEY Rab25 or IGROV-1 tumor cells (2 × 106) were injected subcutaneously on the back of mice and animals were used when the xenografts reached approximately 100 mm3. Tumor dimensions were measured continuously using a caliper and tumor volumes were calculated by the equation: |${\rm volume}\, = \,(\pi/6) \times a \times b \times c$|⁠, where a, b, and c represent three orthogonal axes of the tumor.

PET imaging studies

Dynamic 18F-NFTG imaging scans were carried out on a dedicated small animal PET scanner (Siemens Inveon PET module; Siemens Medical Solutions USA, Inc.) following a bolus intravenous injection of approximately 3.7MBq of the radiotracer into tumor-bearing mice (28). Dynamic scans were acquired in list mode format over 60 minutes. The acquired data were then sorted into 0.5-mm sinogram bins and 19 time frames for image reconstruction (4 × 15, 4 × 60, and 11 × 300 s), which was done by filtered back projection. The Siemens Inveon Research Workplace software was used for visualization of radiotracer uptake in the tumor; 30 to 60 minutes cumulative images of the dynamic data were used to define three-dimensional (3D) regions of interest (ROI). Radiotracer blood retention was estimated as in ref. 28. Care was taken to minimize ROI overlap with the myocardium. The count densities were averaged for all ROIs at each time point to obtain a time versus radioactivity curve (TAC). Tumor TACs were normalized to injected dose, and expressed as percentage injected dose per mL tissue. The area under the TAC, calculated as the integral of %ID/mL from 0 to 60 minutes, and the normalized uptake of radiotracer at 60 minutes (%ID/mL60) were also used for comparisons. For image visualization, iterative reconstruction was performed [three dimensional ordered subset expectation maximization (3D-OSEM)].

Statistical analysis

Data were expressed as mean ± SD and statistical significance determined using the Student two-tailed t test. The ANOVA was used for multiple comparisons (Prism v5.0 software for windows; GraphPad Software). Differences between groups were considered significant if P ≤ 0.05.

Rab25 overexpression increases punctate 2-NBDG staining and 18F-NFTG uptake

2-NBDG fluorescence microscopy.

Addition of 2-NBDG to isogenic HEY Rab25 and HEY pcDNA cells resulted in rapid cellular uptake and retention. The overexpression of Rab25, in HEY Rab25 cells was confirmed by Western blotting (Fig. 1B). Washout of diffuse 2-NBDG–derived background fluorescence revealed punctate granular cytosolic fluorescence in both HEY Rab25 and HEY pcDNA cells. The number and intensity of punctate 2-NBDG fluorescent foci were qualitatively higher in Rab25-overexpressing HEY cells compared with empty vector HEY pcDNA cells, and fluorescence remained up to 4 hours after removal of 2-NBDG (Fig. 1C). In nontumorigenic immortalized human ovarian epithelial IOSE80ht cells, no punctate staining was observed in IOSE80ht after washout, with intracellular fluorescence lost by 2 hours (Fig. 1C).

Radiosynthesis of 18F-NFTG.

We synthesized 18F-NFTG by a copper-catalyzed 1,3-dipolar cycloaddition reaction (22). For in vivo PET studies injection-ready 18F-NFTG was obtained from 18F-fluoride with a radiochemical yield of 15% ± 5% (nondecay-corrected; ref. 22). The radiochemical purity was >98% from n = 12 individual syntheses.

Cell uptake of 18F-NFTG—influence of Rab25.

Temporal uptake of 18F-NFTG was assessed in HEY Rab25 and HEY pcDNA cells under the same conditions as 2-NBDG. Significantly higher 18F-NFTG uptake was detected in HEY Rab25 (2.80% ± 0.26% radioactivity/mg protein) compared with HEY pcDNA cells at 3 hours (2.18% ± 0.11% radioactivity/mg protein; P = 0.019; Fig. 1D). A 30% higher 18F-NFTG uptake was observed in HEY Rab25 in comparison with HEY pcDNA cells at 4 hours after radiotracer addition (3.17% ± 0.25% and 2.45% ± 0.17% radioactivity/mg protein, respectively; P = 0.014). In HEY Rab25 cells, total cellular glycogen was 51% higher than pcDNA control cells (Fig. 1E), with 2.95 ± 0.53 μg/mg protein and 1.95 ± 0.15 μg/mg protein measured, respectively, consistent with differences in glycogen stores measured previously (9).

Direct labeling of extractable glycogen with 18F-NFTG.

Direct labeling of glycogen with 18F-NFTG was shown following glycogen extraction, 3 hours after HEY Rab25 cells were exposed to 18F-NFTG. In total, 69.2% ± 2.3% intracellular radioactivity was associated with proglycogen, whereas macroglycogen labeling was below the limit of detection (Fig. 1F).

GYS1 regulates 2-NBDG staining and 18F-NFTG uptake

Although the metabolic fate of glucose and glucosamine has been well documented, the effect of their derivatization on metabolic flux is not known. The potential metabolic pathways in which 18F-NFTG is substrate are illustrated in Fig. 2A, compared with the known fate of 18F-FDG. To explore the dependence of 2-NBDG and 18F-NFTG cell retention on glycogenesis, HEY Rab25 cells were transfected with GYS1 shRNA or control lentiviral vector. Greater than 90% knockdown of GYS1 was achieved in the GYS1 shRNA cells in comparison with controls (Fig. 2B). Three further GYS1 shRNA sequences produced equivalent target knockdown (Supplementary Fig. S1). GYS1 depletion resulted in a corresponding 5.4-fold reduction in total extractable glycogen (Fig. 2C), from 10.4 ± 0.8 μg/mg protein in empty vector control cells to 1.9 ± 0.1 μg/mg protein in GYS1 shRNA cells (P = 0.00004; n = 3). To understand the effect of GYS1 knockdown and the resulting glycogen depletion on metabolic pathway flux, cells were grown to confluency in high glucose-containing media (11.11 mmol/L), with media subsequently analyzed for glucose and glutamine consumption and the secretion of catabolic by-products (lactate and glutamate). Under these nutrient-rich conditions there was no significant difference between empty vector control and GYS1 knockdown cells in either glucose or glutamine utilization (Fig. 2D).

Figure 2.

18F-NFTG and 2-NBDG cellular retention is controlled by the glycogenic enzyme GYS1. The enzymes involved in NFTG and FDG metabolism are depicted as well as the signaling pathways that regulate them. A, putative metabolic fates of NFTG and known fate of FDG. The readily-reversible and -irreversible intracellular trapping steps are depicted. B, GYS1 knockdown by shRNA in HEY Rab25 cells. C, changes in total cellular glycogen in relation to GYS1 status. D, metabolic rates in GYS1 knockdown and control cells. E, intracellular 2-NBDG accumulation in empty vector and GYS1 shRNA cells. Scale bar, 20 μm. F, effect of GYS1 shRNA on 18F-FDG uptake. G, effect of GYS1 shRNA on 18F-NFTG uptake. Mean values (bars, SD; n = 3; *, P < 0.05; ***, P < 0.0001). NFTG-6-P, NFTG-6-phosphate; NFTG-1-P, NFTG-1-phosphate; NFTG-glycogen, NFTG-associated glycogen; G6P, glucose 6-phosphatase; HK, hexokinase; PGM, phosphoglucomutase; FDG-6-P, FDG 6-phosphate; Gluc, glucose; Gln, glutamine; Lac, lactate; Glu, glutamate.

Figure 2.

18F-NFTG and 2-NBDG cellular retention is controlled by the glycogenic enzyme GYS1. The enzymes involved in NFTG and FDG metabolism are depicted as well as the signaling pathways that regulate them. A, putative metabolic fates of NFTG and known fate of FDG. The readily-reversible and -irreversible intracellular trapping steps are depicted. B, GYS1 knockdown by shRNA in HEY Rab25 cells. C, changes in total cellular glycogen in relation to GYS1 status. D, metabolic rates in GYS1 knockdown and control cells. E, intracellular 2-NBDG accumulation in empty vector and GYS1 shRNA cells. Scale bar, 20 μm. F, effect of GYS1 shRNA on 18F-FDG uptake. G, effect of GYS1 shRNA on 18F-NFTG uptake. Mean values (bars, SD; n = 3; *, P < 0.05; ***, P < 0.0001). NFTG-6-P, NFTG-6-phosphate; NFTG-1-P, NFTG-1-phosphate; NFTG-glycogen, NFTG-associated glycogen; G6P, glucose 6-phosphatase; HK, hexokinase; PGM, phosphoglucomutase; FDG-6-P, FDG 6-phosphate; Gluc, glucose; Gln, glutamine; Lac, lactate; Glu, glutamate.

Close modal

2-NBDG fluorescence microscopy qualitatively revealed a substantial decrease in staining in GYS1 knockdown cells versus empty vector controls (Fig. 2E), consistent with glycogen levels in the two cells, and despite minimal differences in glycolytic flux between the two lines. In contrast, differences in 18F-FDG cellular retention were unremarkable between GYS1 shRNA and empty vector HEY Rab25 cells, in keeping with the minimal differences in initial glycolytic flux between the two cell lines. 18F-FDG uptake was reduced by just 9% in GYS1 shRNA cells in comparison with control cells, with 10.2% ± 0.2% and 11.2% ± 0.6% radioactivity/mg protein measured in cells, respectively (P = 0.045; Fig. 2F). Conversely, knockdown of GYS1 expression resulted in a corresponding 7.3-fold reduction in 18F-NFTG uptake when compared with empty vector control cells (7.69% ± 0.68% and 1.05% ± 0.05% radioactivity/mg protein, respectively; P = 0.00007; Fig. 2G), supporting the utility of substituted glucosamine derivatives, 2-NBDG and 18F-NFTG, to report glycogen synthase–mediated glycogenesis.

18F-NFTG detects increased glycogen storage induced by G1–G0 cell-cycle arrest

2-NBDG fluorescence microscopy and antiglycogen immunofluorescence.

High 2-NBDG punctate fluorescence was observed in HEY Rab25 cells when confluency was achieved in culture, 6 days after seeding (Supplementary Fig. S2). Similarly, antiglycogen immunofluorescence staining of fixed cells with an antiglycogen IgM (20, 29) also demonstrated granular cytosolic fluorescence, albeit with some nonspecific background staining (Supplementary Fig. S2). Overlay of 2-NBDG fluorescence and glycogen immunofluorescence images was not possible as 2-NBDG fluorescence was lost during fixation and permeabilization of cells. We noted in washout experiments a reduction in punctate 2-NBDG staining 40 minutes before cell division in comparison with nondividing cells; this effect also corresponded to an increase in diffuse background 2-NBDG fluorescence (Supplementary Fig. S3).

Confluency induces G1–G0 growth arrest, cellular senescence, and glycogen accumulation.

The role of growth arrest on glycogen accumulation was further assessed by varying cell seeding density (confluency) from 1.6 × 104 to 12.8 × 104 cells/cm2, 24 hours before analysis. In the asynchronous cultures, increased seeding density resulted in a proportional increase in G1–G0 growth arrest, characterized by flow cytometric measurements of DNA content (Fig. 3A) and a decrease in phospho-pRb levels (Fig. 3B). Furthermore, the quiescence marker, p27/Kip1, and β-galactosidase staining for senescence, were both increased at the highest cell seeding density of 12.8 × 104 cells/cm2 (Fig. 3B and Supplementary Fig. S4, respectively), whereas total cyclin D1 levels remained unchanged (Fig. 3B). A linear relationship between cell seeding density and total extractable glycogen was observed in HEY Rab25 cells, increasing from 2.95 ± 0.53 μg/mg protein with the lowest seeding density (1.6 × 104 cells/cm2) to 6.29 ± 0.75 μg/mg protein at the highest (12.8 × 104 cells/cm2), a 2.1-fold increase (P = 0.0019; n = 3; Fig. 3C). A density-dependent increase in 2-NBDG fluorescence was also observed, rising 2.8-fold, from 229 ± 63 relative fluorescence units (RFU)/μg protein to 629 ± 188/μg protein for cells seeded at 1.6 × 104 and 12.8 × 104 cells/cm2, respectively (Fig. 3D).

Figure 3.

Variations in intracellular glycogen storage and labeling as a measurement of cell density–dependent HEY Rab25 G1–G0 arrest. A, the representative cell-cycle plots indicating DNA content are shown for cells seeded in a 6-well plate at 1.5 × 105 cells per well (i), 3 × 105 cells per well (ii), 6 × 105 cells per well (iii), and 1.2 × 106 cells per well (iv). B, Western blots for HEY Rab25, cultured at seeding densities at 1.5 × 105 cells per well (i), 3 × 105 cells per well (ii), 6 × 105 cells per well (iii), and 1.2 × 106 cells per well (iv) were probed with antibodies against cell-cycle control proteins, as indicated. Antibody to actin is shown as a loading control. C, changes in total cellular glycogen in relation to HEY Rab25 seeding density. D, relation between cell seeding density and total 2-NBDG. E, normalized 18F-NFTG uptake and retention relative to cell seeding density. F, normalized 18F-FDG uptake and retention relative to cell seeding density. C–F, mean values ± SD (n = 3). G, correlation between total cellular glycogen and 2-NBDG fluorescence (open circles), 18F-NFTG uptake (closed circles), or 18F-FDG uptake (closed squares). All images were acquired at ×100 magnification and are representative of three independent experiments.

Figure 3.

Variations in intracellular glycogen storage and labeling as a measurement of cell density–dependent HEY Rab25 G1–G0 arrest. A, the representative cell-cycle plots indicating DNA content are shown for cells seeded in a 6-well plate at 1.5 × 105 cells per well (i), 3 × 105 cells per well (ii), 6 × 105 cells per well (iii), and 1.2 × 106 cells per well (iv). B, Western blots for HEY Rab25, cultured at seeding densities at 1.5 × 105 cells per well (i), 3 × 105 cells per well (ii), 6 × 105 cells per well (iii), and 1.2 × 106 cells per well (iv) were probed with antibodies against cell-cycle control proteins, as indicated. Antibody to actin is shown as a loading control. C, changes in total cellular glycogen in relation to HEY Rab25 seeding density. D, relation between cell seeding density and total 2-NBDG. E, normalized 18F-NFTG uptake and retention relative to cell seeding density. F, normalized 18F-FDG uptake and retention relative to cell seeding density. C–F, mean values ± SD (n = 3). G, correlation between total cellular glycogen and 2-NBDG fluorescence (open circles), 18F-NFTG uptake (closed circles), or 18F-FDG uptake (closed squares). All images were acquired at ×100 magnification and are representative of three independent experiments.

Close modal

18F-NFTG and 18F-FDG cellular uptake.

Having confirmed an association between confluency (quiescence)-induced glycogen storage and 2-NBDG fluorescence, in vitro uptake of 18F-NFTG was performed in HEY Rab25 cells. An increase in cell density increased tracer uptake and retention. Cells seeded at 1.6 × 104 cells/cm2 retained 3.51% ± 0.18% radioactivity/mg protein, increasing to 6.63% ± 0.25% radioactivity/mg protein at a density of 6.4 × 104 cells/cm2, a 1.9-fold increase (P = 0.0006; n = 3). The increase in 18F-NFTG uptake started to plateau at the highest density of 12.8 × 104 cells/cm2 − 7.69% ± 0.68% radioactivity/mg protein (Fig. 3E). Similar experiments were conducted with 18F-FDG, to assess corresponding levels of glucose uptake. Although overall cellular uptake of 18F-FDG was higher in HEY Rab25 cells in comparison with 18F-NFTG (12.08% ± 0.58% versus 7.69% ± 0.68% radioactivity/mg protein, respectively, at 12.8 × 104 cells/cm2; Fig. 3F), seeding density did not alter 18F-FDG uptake. When compared, there was good correlation between both 2-NBDG fluorescence and 18F-NFTG uptake with cellular glycogen (R2 = 0.9336 and R2 = 0.8998, respectively), with no correlation between 18F-FDG and glycogen (R2 = 0.0016; Fig. 3G).

Increased 2-NBDG uptake is observed in the quiescent core of HEY Rab25 spheroids.

To confirm cell-cycle–dependent changes in glycogen labeling as a prelude to in vivo studies, 2-NBDG confocal microscopy was performed on HEY Rab25 multicellular tumor spheroids, grown in 3D culture. Tumor cells in the core of spheroids are usually in G0, with cycling cells closer to the spheroid surface (30). Approximately 20-μm Z-stacks of the spheroid (Supplementary Fig. S5) revealed heterogeneous uptake, with maximum fluorescence visualized in the spheroid core, and a further region of high uptake at the rim of the spheroid.

Comparison between 18F-NFTG and 18F-FDG–PET imaging in vivo

Of note, 18F-NFTG PET imaging was performed in size-matched HEY Rab25 xenograft-bearing nude mice and compared with 18F-FDG–PET (Fig. 4). 18F-NFTG radiotracer distribution was characterized by rapid liver uptake, followed by clearance through the kidney and bladder. Clearance through the intestines was also observed (Fig. 4A). Although 18F-NFTG did not accumulate in the brain, heart-specific radioactivity was still present at 60 minutes, accompanied by good tumor uptake and retention (Fig. 4B). In comparison, the typical 18F-FDG distribution of high brain, heart, bladder, and tumor radioactivity was observed (Fig. 4C and D).

Figure 4.

Dynamic 18F-NFTG and 18F-FDG–PET image analysis in HEY Rab25 tumor-bearing mice. A and C, the representative coronal PET–computed tomography (CT) images (30–60 minutes summed activity) for 18F-NFTG (A) and 18F-FDG (C). Slices were selected to represent key organs with high radiotracer retention. H, heart; L, liver; K, kidney; B, bladder. B and D, the representative axial PET–CT images of HEY Rab25 tumors (30–60 minutes of summed activity) for 18F-NFTG (B) and 18F-FDG (D). The slice selected in D was chosen to minimize background heart radioactivity. Tumor margins, indicated from CT image, are outlined in red. For all images, the color scale was adjusted to the maximum pixel intensity. E, HEY Rab25 tumor TAC obtained from 60-minute dynamic PET imaging. Mean ± SD (n = 4 mice/group). F, 18F-NFTG and 18F-FDG heart TAC. G, 18F-NFTG and 18F-FDG liver TAC. H, 18F-NFTG and 18F-FDG kidney TAC. Mean ± SD (n = 4 mice/group).

Figure 4.

Dynamic 18F-NFTG and 18F-FDG–PET image analysis in HEY Rab25 tumor-bearing mice. A and C, the representative coronal PET–computed tomography (CT) images (30–60 minutes summed activity) for 18F-NFTG (A) and 18F-FDG (C). Slices were selected to represent key organs with high radiotracer retention. H, heart; L, liver; K, kidney; B, bladder. B and D, the representative axial PET–CT images of HEY Rab25 tumors (30–60 minutes of summed activity) for 18F-NFTG (B) and 18F-FDG (D). The slice selected in D was chosen to minimize background heart radioactivity. Tumor margins, indicated from CT image, are outlined in red. For all images, the color scale was adjusted to the maximum pixel intensity. E, HEY Rab25 tumor TAC obtained from 60-minute dynamic PET imaging. Mean ± SD (n = 4 mice/group). F, 18F-NFTG and 18F-FDG heart TAC. G, 18F-NFTG and 18F-FDG liver TAC. H, 18F-NFTG and 18F-FDG kidney TAC. Mean ± SD (n = 4 mice/group).

Close modal

The kinetic profiles of tumor retention also varied considerably between the two tracers, as shown by the TACs (Fig. 4E). Rapid tumor uptake of 18F-NFTG, peaking at 5 minutes, preceded a slow washout of radioactivity over the remaining 55 minutes. This was contrasted with 18F-FDG, with a maximal tumor radioactivity achieved 15 minutes after injection, with subsequent stabilization of tumor-associated radioactivity (Fig. 4E). Radio high-performance liquid chromatography analysis of plasma 18F-NFTG radioactivity revealed good tracer stability, with 100% of the parent compound still present 15 minutes after injection (n = 3 mice; Supplementary Fig. S6). Radiotracer uptake in the tumor was 2.9-fold higher with 18F-FDG than 18F-NFTG 60 minutes after injection (4.10 ± 0.38 and 1.40 ± 0.29 %ID/mL, respectively; P = 0.009).

18F-NFTG pharmacokinetics in other major organs varied substantially compared with 18F-FDG. High heart-associated radioactivity, typical of 18F-FDG, was not present with 18F-NFTG, with 42.5 ± 5.9 %ID/mL measured with 18F-FDG in comparison with just 4.2 ± 0.3 %ID/mL with 18F-NFTG at 60 minutes after injection (Fig. 4F). Liver 18F-NFTG radioactivity peaked at 5 minutes, followed by slow clearance, whereas rapid washout from the liver was observed with 18F-FDG, with maximal radioactivity measured <1 minute after injection (Fig. 4G). A similar profile of rapid extraction from blood and urinary elimination through the kidneys was evident with both radiotracers (Supplementary Fig. S7 and Fig. 4H, respectively).

A common confound of many oncologic PET radiotracers, including 18F-FDG, is their inability to differentiate between neoplastic and inflammatory tissue, leading to reduced specificity (31). Here, we assessed uptake of both 18F-FDG and 18F-NFTG in an aseptic inflammation (turpentine) model (Supplementary Fig. S8). Turpentine-induced inflammation, confirmed in histologic sections stained with hematoxylin and eosin, resulted in a 2.7-fold increase (P = 0.003) in 18F-FDG uptake in treated verses untreated muscle, clearly visible in the 50 to 60 minute static PET image. Conversely, no significant change in turpentine-treated muscle 18F-NFTG uptake was detectable by either PET or ex vivo biodistribution when compared with the untreated control contralateral muscle (P = 0.10).

18F-NFTG uptake correlates with glycogen levels in vitro and in vivo

A panel of eight human tumor cell lines were assessed for glycogen content (Supplementary Fig. S9). High-total cellular glycogen (44.2 ± 14.8 μg/mg protein) was measured in stationary-phase IGROV-1 ovarian carcinoma cells, 4.8-fold higher than in HEY Rab25 cells (9.30 ± 1.96 μg/mg protein; P = 0.01; n = 3; Fig. 5A) and, thus, were selected for further evaluation. This difference in extractable glycogen correlated well with in vitro uptake of 18F-NFTG, which was 12.26% ± 1.97% and 2.79% ± 0.26% radioactivity/mg protein in IGROV-1 and HEY Rab25 cells, respectively (4.4-fold increase; P = 0.001; n = 3; Fig. 5B). Similarly, 18F-NFTG uptake in implanted IGROV-1 xenografts in vivo was 1.6-fold higher than in HEY Rab25 tumors (area under the curve of 122.7 ± 12.3 and 73.7 ± 2.42 %ID/mL/min, respectively; P = 0.028), consistent with the higher glycogen levels measured in vitro. In contrast with HEY Rab25 xenografts, tumor-associated radioactivity in the higher glycogen content IGROV-1 xenograft was stable between 15 and 60 minutes (Fig. 5C and D).

Figure 5.

18F-NFTG uptake in IGROV-1 cells in vitro and tumors in vivo. A, a comparison of total extractable glycogen taken from HEY Rab25 and IGROV-1 cells grown in vitro. B, in vitro18F-NFTG uptake in HEY Rab25 and IGROV-1 cells. Mean ± SD for A and B (n = 3; **, P < 0.01; ***, P < 0.001). C, IGROV-1 tumor TAC obtained from 60-minute dynamic 18F-NFTG-PET imaging. Tumor TACs from HEY Rab25 xenografts are included for comparison. Mean ± SD (n = 4 mice/group). D, the representative axial CT, PET, and PET–CT images of IGROV-1 tumor-bearing mice (30–60 minutes of summed activity). Tumor margins were identified from CT image (indicated by arrow). H, heart.

Figure 5.

18F-NFTG uptake in IGROV-1 cells in vitro and tumors in vivo. A, a comparison of total extractable glycogen taken from HEY Rab25 and IGROV-1 cells grown in vitro. B, in vitro18F-NFTG uptake in HEY Rab25 and IGROV-1 cells. Mean ± SD for A and B (n = 3; **, P < 0.01; ***, P < 0.001). C, IGROV-1 tumor TAC obtained from 60-minute dynamic 18F-NFTG-PET imaging. Tumor TACs from HEY Rab25 xenografts are included for comparison. Mean ± SD (n = 4 mice/group). D, the representative axial CT, PET, and PET–CT images of IGROV-1 tumor-bearing mice (30–60 minutes of summed activity). Tumor margins were identified from CT image (indicated by arrow). H, heart.

Close modal

For more than 30 years, aberrant glycogen metabolism has been known to be associated with the metabolic reprogramming that occurs in many cancers (7). Although initially thought to be confined to specific histotypes, recent data have shown that this is a general phenomenon. Little is known about the extent of glycogen storage, the mechanisms governing this phenotypic adaptation and role in resistance and poor prognosis. In this study, we unequivocally demonstrate that measurements of 18F-NFTG uptake and retention can be used to detect de novo glycogenesis in tumor cells growing in culture or in tumor xenografts in vivo, and that the 18F-NFTG readout of glycogenesis could be used to assess the proliferative state of cancer cells.

Recently, the phosphoinositide 3-kinase (PI3K) signaling pathway has been suggested as a key regulator of glycogenesis, linked to increased expression of the small GTPase, Rab25 (9). In Rab25-overexpressing cells, AKT activity was increased, leading to an augmentation of GSK3 phosphorylation and subsequent inactivation. In these cells GSK3 was unable to phosphorylate and therefore inhibit glycogen synthase activity, resulting in increased glycogen accumulation. Furthermore, it was shown that inhibition of PI3K abrogated Rab25-mediated glycogen storage. Of note, 2-NBDG and 18F-NFTG were able to discriminate between small differences in glycogen synthesis in HEY cells induced by Rab25 transfection, and suggest potential utility as a measure of oncogenic signaling–induced changes in glycogen. A measure of oncogene-driven glycogen status may be of prognostic significance, given that Rab25 seems to confer a functional survival advantage to cancer cells; allowing cellular survival under acute nutrient stress conditions (9).

In cell experiments, specificity of glycogen labeling with 2-NBDG was demonstrated in comparison with antiglycogen immunofluorescence and through extraction of 18F-NFTG–labeled proglycogen. Glycogen labeling by these substituted glucosamine derivatives was proposed via the putative signaling pathway illustrated in Fig. 2A, controlled by the key regulator of glycogenesis, glycogen synthase. To further elucidate the specificity of these tracers to report glycogenesis, specific knockdown of muscle GYS1 by shRNA was used. GYS1 knockdown depleted intracellular glycogen stores, reduced 18F-NFTG uptake more than 7-fold when compared with empty vector control cells and similarly reduced 2-NBDG retention. Furthermore, GYS1 silencing had no effect on glycolytic flux, ruling out nonspecific metabolic effects of GYS1 silencing or off-target toxicities of the shRNA. As expected, 18F-FDG was unable to annotate the glycogen status of these cells. It is important to note that although complementary, measurements of the total intracellular glycogen pool (measured biochemically) and rate of glycogen synthesis (measured by 18F-NFTG) differ: the total glycogen pool is a sum of both glycogenesis and glycogenolysis, whereas 18F-NFTG has only been shown to measure glycogen synthase–mediated glycogenesis. Future studies are required to elucidate whether 18F-NFTG–associated glycogen is substrate for glycogen breakdown by glycogen phosphorylase.

We examined whether modulation of glycogen storage during the nonproliferative state of cancer cells could be detected by 2-NBDG and 18F-NFTG. Induction of G0–G1 growth arrest in vitro by increased cell density resulted in an increase in glycogen storage, proportional to the initial cell seeding concentration. In cells, G0–G1 arrest led to increased 2-NBDG and 18F-NFTG uptake, whereas 18F-FDG retention remained unchanged. The mechanism behind this increased glycogen storage remains to be fully determined. We speculate that the high 18F-FDG/glucose uptake attributed to the Warburg effect aims to provide the building blocks for cellular proliferation through, for example, the pentose phosphate shunt, whereas in quiescent tumor cells the excess glucose is instead diverted to glycogen. This could then be potentially mobilized when the cell reenters the cell cycle for both energy and as a carbon source for the synthesis of proteins, nucleotides, and other building blocks, analogous to nutrient stress–induced quiescence, and synthesis of glycogen and trehalose by budding yeast (13, 14).

To provide further evidence for uptake of the substituted glucosamines in the quiescent state, we used a more sophisticated model of heterogeneous tumor cell growth, multicellular tumor spheroids (reviewed in ref. 30). In this model, we revealed elevated 2-NBDG uptake in the hypoxic spheroidal core, in which cells are relatively quiescent (32) and express elevated GYS1 (10). The high uptake of 2-NBDG in the rim of the spheroid may reflect improved nutrient, and therefore 2-NBDG, access in this region. Although our focus has been on glycogenesis, it should be noted that other mechanisms could be responsible for the high glycogen levels in quiescent cells. For instance, it was shown recently that inhibition of glycogen phosphorylase activity and glycogenolysis in cancer leads to a p53-dependent induction of senescence, providing a mechanistic link between cellular glycogen and senescence (10). The ability to noninvasively measure tumor proliferative state, be it cellular quiescence or senescence may be of great importance.

Given the ability of 18F-NFTG–PET to measure cellular glycogen levels as a metabolic biomarker of oncogene activation (e.g., PI3K/AKT pathway by Rab25), and G1–G0 quiescence, we envisage that 18F-NFTG–PET could potentially be used to complement 18F-FDG–PET imaging of tumor glycolysis. Dynamic imaging revealed distinct patterns of 18F-NFTG tissue retention in comparison with 18F-FDG, characterized by high uptake in the kidneys and in glycogen-storing liver. As the liver is a frequent site of metastasis, this could limit the utility 18F-NFTG in these patients. However, some tumors are not 18F-FDG avid due to low metabolic rates. These are frequently slow growing tumors. On the basis of the relationship between cell cycle and glycogen levels, 18F-NFTG could complement 18F-FDG in imaging of such tumors. In oncology 18F-FDG–PET is also used as a marker of treatment response. 18F-FDG can overestimate the efficacy of cytotoxic chemotherapy due to a stunning effect, resulting from a reduction in metabolism due to cellular “stress,” or quiescence of residual cells. The potential ability of 18F-NFTG to specifically image these quiescent cells may be an advantage. Furthermore, 18F-NFTG provides improved specificity over 18F-FDG for tumor imaging under conditions of inflammation. We envisage 18F-NFTG to have great applicability to image tumors of the upper thoracic, for example, those of the breast, in which background is minimal. Utility in ovarian cancer, as depicted in this study, is also envisaged.

We believe that this technique can be successfully transferred to the clinic, with potential application in both malignant and nonmalignant diseases; in malignant disease, the tracer may have a role in the assessment of activation of oncogenic pathways related to glycogenesis, their modulation by drugs in development, and the detection of posttreatment quiescent residual tumor burden.

No potential conflicts of interest were disclosed.

Conception and design: T.H. Witney, L. Carroll, Q.-D. Nguyen, R. Agarwal, E.O. Aboagye

Development of methodology: T.H. Witney, L. Carroll, A. Chandrashekran, Q.-D. Nguyen, E.O. Aboagye

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): T.H. Witney, L. Carroll, I.S. Alam, Q.-D. Nguyen, R. Sala, R. Harris, R. Agarwal, E.O. Aboagye

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): T.H. Witney, R. Harris, R.J. DeBerardinis, R. Agarwal, E.O. Aboagye

Writing, review, and/or revision of the manuscript: T.H. Witney, L. Carroll, I.S. Alam, R. Sala, R.J. DeBerardinis, R. Agarwal, E.O. Aboagye

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): T.H. Witney, I.S. Alam, E.O. Aboagye

Study supervision: E.O. Aboagye

The authors thank W. Gsell and J. Tremoleda for their assistance with the PET imaging studies, and K. Cheng and G. Mills for the HEY Rab25/pcDNA and IOSE80ht cell lines.

This work was funded by Cancer Research UK, Engineering and Physical Sciences Research Council grant (in association with the Medical Research Council and Department of Health, England) grant C2536/A10337. E.O. Aboagye laboratory receives core funding from the UK Medical Research Council (MC_A652_5PY80). R. Agarwal is funded by a Cancer Research UK Clinician Scientist Fellowship. R.J. DeBerardinis is supported by the NIH (R01 CA157996-02) and Robert A. Welch Foundation (I-1733).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Gatenby
RA
,
Gillies
RJ
. 
Why do cancers have high aerobic glycolysis
?
Nat Rev Cancer
2004
;
4
:
891
9
.
2.
Warburg
O
. 
On the origin of cancer cells
.
Science
1956
;
123
:
309
14
.
3.
Fantin
VR
,
St-Pierre
J
,
Leder
P
. 
Attenuation of LDH-A expression uncovers a link between glycolysis, mitochondrial physiology, and tumor maintenance
.
Cancer Cell
2006
;
9
:
425
34
.
4.
Herst
PM
,
Hesketh
EL
,
Ritchie
DS
,
Berridge
MV
. 
Glycolytic metabolism confers resistance to combined all-trans retinoic acid and arsenic trioxide-induced apoptosis in HL60rho0 cells
.
Leuk Res
2008
;
32
:
327
33
.
5.
Simonnet
H
,
Alazard
N
,
Pfeiffer
K
,
Gallou
C
,
Beroud
C
,
Demont
J
, et al
Low mitochondrial respiratory chain content correlates with tumor aggressiveness in renal cell carcinoma
.
Carcinogenesis
2002
;
23
:
759
68
.
6.
Rousset
M
,
Chevalier
G
,
Rousset
JP
,
Dussaulx
E
,
Zweibaum
A
. 
Presence and cell growth-related variations of glycogen in human colorectal adenocarcinoma cell lines in culture
.
Cancer Res
1979
;
39
:
531
4
.
7.
Rousset
M
,
Zweibaum
A
,
Fogh
J
. 
Presence of glycogen and growth-related variations in 58 cultured human tumor cell lines of various tissue origins
.
Cancer Res
1981
;
41
:
1165
70
.
8.
Takahashi
S
,
Satomi
A
,
Yano
K
,
Kawase
H
,
Tanimizu
T
,
Tuji
Y
, et al
Estimation of glycogen levels in human colorectal cancer tissue: relationship with cell cycle and tumor outgrowth
.
J Gastroenterol
1999
;
34
:
474
80
.
9.
Cheng
KW
,
Agarwal
R
,
Mitra
S
,
Lee
JS
,
Carey
M
,
Gray
JW
, et al
Rab25 increases cellular ATP and glycogen stores protecting cancer cells from bioenergetic stress
.
EMBO Mol Med
2012
;
4
:
125
41
.
10.
Favaro
E
,
Bensaad
K
,
Chong
MG
,
Tennant
DA
,
Ferguson
DJ
,
Snell
C
, et al
Glucose utilization via glycogen phosphorylase sustains proliferation and prevents premature senescence in cancer cells
.
Cell Metab
2012
;
16
:
751
64
.
11.
Roach
PJ
,
Cheng
C
,
Huang
D
,
Lin
A
,
Mu
J
,
Skurat
AV
, et al
Novel aspects of the regulation of glycogen storage
.
J Basic Clin Physiol Pharmacol
1998
;
9
:
139
51
.
12.
Lawrence
JC
 Jr
,
Roach
PJ
. 
New insights into the role and mechanism of glycogen synthase activation by insulin
.
Diabetes
1997
;
46
:
541
7
.
13.
Paalman
JW
,
Verwaal
R
,
Slofstra
SH
,
Verkleij
AJ
,
Boonstra
J
,
Verrips
CT
. 
Trehalose and glycogen accumulation is related to the duration of the G1 phase of Saccharomyces cerevisiae
.
FEMS Yeast Res
2003
;
3
:
261
8
.
14.
Shi
L
,
Sutter
BM
,
Ye
X
,
Tu
BP
. 
Trehalose is a key determinant of the quiescent metabolic state that fuels cell cycle progression upon return to growth
.
Mol Biol Cell
2010
;
21
:
1982
90
.
15.
Rousset
M
,
Dussaulx
E
,
Chevalier
G
,
Zweibaum
A
. 
Growth-related glycogen levels of human intestine carcinoma cell lines grown in vitro and in vivo in nude mice
.
J Natl Cancer Inst
1980
;
65
:
885
9
.
16.
Agbanyo
M
,
Taylor
NF
. 
Incorporation of 3-deoxy-3-fluoro-D-glucose into glycogen and trehalose in fat body and flight muscle in Locusta migratoria
.
Biosci Rep
1986
;
6
:
309
16
.
17.
Graf
R
,
Klessen
C
. 
Glycogen in pancreatic islets of steroid diabetic rats. Carbohydrate histochemical detection and localization using an immunocytochemical technique
.
Histochemistry
1981
;
73
:
225
32
.
18.
Carr
RS
,
Neff
JM
. 
Quantitative semi-automated enzymatic assay for tissue glycogen
.
Comp Biochem Physiol B
1984
;
77
:
447
9
.
19.
Marusyk
A
,
Almendro
V
,
Polyak
K
. 
Intra-tumour heterogeneity: a looking glass for cancer
?
Nat Rev Cancer
2012
;
12
:
323
34
.
20.
Louzao
MC
,
Espina
B
,
Vieytes
MR
,
Vega
FV
,
Rubiolo
JA
,
Baba
O
, et al
“Fluorescent glycogen” formation with sensibility for in vivo and in vitro detection
.
Glycoconj J
2008
;
25
:
503
10
.
21.
Cheng
KW
,
Lahad
JP
,
Kuo
WL
,
Lapuk
A
,
Yamada
K
,
Auersperg
N
, et al
The RAB25 small GTPase determines aggressiveness of ovarian and breast cancers
.
Nat Med
2004
;
10
:
1251
6
.
22.
Carroll
L
,
Witney
TH
,
Aboagye
EO
. 
Design and synthesis of novel 18F-radiolabelled glucosamine derivatives for cancer imaging
.
Med Chem Commun
2013
;
4
:
653
6
.
23.
Huang
M
,
Lee
C
,
Lin
R
,
Chen
R
. 
The exchange between proglycogen and macroglycogen and the metabolic role of the protein-rich glycogen in rat skeletal muscle
.
J Clin Invest
1997
;
99
:
501
5
.
24.
Howe
SJ
,
Chandrashekran
A
. 
Vector systems for prenatal gene therapy: principles of retrovirus vector design and production
.
Methods Mol Biol
2012
;
891
:
85
107
.
25.
Crissman
HA
,
Hirons
GT
. 
Staining of DNA in live and fixed cells
.
Methods Cell Biol
1994
;
41
:
195
209
.
26.
Yang
C
,
Sudderth
J
,
Dang
T
,
Bachoo
RM
,
McDonald
JG
,
DeBerardinis
RJ
. 
Glioblastoma cells require glutamate dehydrogenase to survive impairments of glucose metabolism or Akt signaling
.
Cancer Res
2009
;
69
:
7986
93
.
27.
Workman
P
,
Aboagye
EO
,
Balkwill
F
,
Balmain
A
,
Bruder
G
,
Chaplin
DJ
, et al
Guidelines for the welfare and use of animals in cancer research
.
Br J Cancer
2010
;
102
:
1555
77
.
28.
Witney
TH
,
Alam
IS
,
Turton
DR
,
Smith
G
,
Carroll
L
,
Brickute
D
, et al
Evaluation of deuterated 18F- and 11C-labeled choline analogs for cancer detection by positron emission tomography
.
Clin Cancer Res
2012
;
18
:
1063
72
.
29.
Baba
O.
Production of monoclonal antibody that recognizes glycogen and its application for immunohistochemistry
.
Kokubyo Gakkai Zasshi
1993
;
60
:
264
87
.
30.
Kunz-Schughart
LA
,
Kreutz
M
,
Knuechel
R
. 
Multicellular spheroids: a three-dimensional in vitro culture system to study tumour biology
.
Int J Exp Pathol
1998
;
79
:
1
23
.
31.
Yamada
S
,
Kubota
K
,
Kubota
R
,
Ido
T
,
Tamahashi
N
. 
High accumulation of fluorine-18-fluorodeoxyglucose in turpentine-induced inflammatory tissue
.
J Nucl Med
1995
;
36
:
1301
6
.
32.
Carlsson
J
,
Acker
H
. 
Relations between pH, oxygen partial pressure and growth in cultured cell spheroids
.
Int J Cancer
1988
;
42
:
715
20
.