Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jul 29.
Published in final edited form as: Mol Cancer Res. 2018 Jan 12;16(3):453–460. doi: 10.1158/1541-7786.MCR-17-0458

Targeted AKT Inhibition in Prostate Cancer Cells and Spheroids Reduces Aerobic Glycolysis and Generation of Hyperpolarized [1-13C] Lactate

Sui Seng Tee 1, Izabela Suster 1, Steven Truong 2, Sangmoo Jeong 1, Roozbeh Eskandari 1, Valentina DiGialleonardo 1, Julio A Alvarez 3, Hannah N Aldeborgh 1, Kayvan R Keshari 1,3
PMCID: PMC6662159  NIHMSID: NIHMS1038483  PMID: 29330287

Abstract

The PI3K/AKT/mTOR (PAM) signaling pathway is frequently mutated in prostate cancer. Specific AKT inhibitors are now in advanced clinical trials, and this study investigates the effect of MK2206, a non–ATP-competitive inhibitor, on the cellular metabolism of prostate cancer cells. We observed a reduction in cell motility and aerobic glycolysis in prostate cancer cells with treatment. These changes were not accompanied by a reduction in the ratio of high-energy phosphates or a change in total protein levels of enzymes and transporters involved in glycolysis. However, a decreased ratio of NAD+/NADH was observed, motivating the use of hyperpolarized magnetic resonance spectroscopy (HP-MRS) to detect treatment response. Spectroscopic experiments were performed on tumor spheroids, 3D structures that self-organize in the presence of an extracellular matrix. Treated spheroids showed decreased lactate production with on-target inhibition confirmed using IHC, demonstrating that HP-MRS can be used to probe treatment response in prostate cancer spheroids and can provide a biomarker for treatment response.

Introduction

Prostate cancer affects one in six men in the Western world, and one in six of those diagnosed with prostate cancer die of metastatic castration-resistant prostate cancer (CRPC; ref. 1). Currently, only six nonhormonal therapeutics have been shown to prolong survival, highlighting the crucial need uncover alternative drug targets for CRPC as well as noninvasive methods to rapidly evaluate therapeutic response.

The PI3K/AKT/mTOR (PAM) signaling pathway has diverse functions, including regulating growth, metabolism, and migration (2). Activation of PI3K can be achieved by receptor tyrosine kinases, G-protein–coupled receptors as well as some oncogenes. This leads to the phosphorylation of phosphatidyl-inositol 4,5-bisphosphate (PIP2) to phosphatidyl-inositol 3,4,5-triphosphate (PIP3) and recruitment of AKT to the plasma membrane. The phosphatase PTEN acts as a negative regulator of AKT, inhibiting recruitment of the kinase to the plasma membrane. Activated AKT phosphorylates a host of proteins involved in a range of progrowth effects, including mTOR (3). mTOR is a serine threonine kinase involved in regulation of cell growth, contingent on availability of nutrients (4). Significantly, this pathway is mutated in 42% of primary and 100% of metastatic prostate cancer (5). Many inhibitors of this pathway are currently being tested in phase I/II trials for prostate cancer, either in isolation or in combination with conventional chemotherapies (6).

Rapid evaluation of treatment efficacy is crucial, especially in the clinical management of CRPC. Effective assessment of cancer therapy could guide drug selection, and molecular imaging methods such as metabolic imaging have already shown great promise in terms of detecting treatment response in cancer (7). Metabolic imaging is an example of an imaging platform that has the unique ability to detect nutrient utilization (8) in both preclinical studies and in patients. The advent of hyperpolarized nuclear magnetic resonance (NMR) has greatly increased the sensitivity of detection for 13C NMR (9). Hyperpolarization describes a number of techniques that are used to enhance the polarization of nuclear spins, with dissolution dynamic nuclear polarization (dDNP) being the mostly widely used to study in vivo metabolism (8). dDNP is based on polarizing nuclear spins in a frozen sample, where microwave irradiation is used to transfer polarization from an organic free radical to an NMR-active metabolite of interest. Rapid dissolution provides polarized metabolites with greatly enhanced signal-to-noise enabling the detection of metabolic flux in vivo (9). First-in-man studies of hyperpolarized (HP) [1-13C] pyruvate have been performed in early-stage prostate cancer patients with no adverse effects and an excellent ability to distinguish malignant and normal prostate, demonstrated by regions of increased generation of HP [1-13C] lactate (10).

Although noninvasive imaging of patients will benefit greatly from HP NMR, magnetic resonance spectroscopy (MRS), in general, enables measurements of cellular physiology and metabolism nondestructively in situ and repeatedly with minimal perturbation to cellular physiology (11). This study investigates the possibility of measuring changes in treatment response of prostate cancer cells and spheroids using HP [1-13C] pyruvate after AKT inhibition. Although hyperpolarized experiments have been performed on cell suspensions (12) and sodium alginate encapsulated cells in fluidized bioreactors (13), we believe that the ability to measure metabolic flux in patient-derived tumor organoids or cell line–derived tumor spheroids that are 3D cultures that mimic human disease (14) will allow high-throughput screening of multiple samples with distinct genetic backgrounds. Because these cultures show high fidelity to clinical disease, prostate cancer organoids have already been used for drug screening (15). This work investigates the possibility of detecting changes in metabolic flux of prostate cancer spheroids after drug treatment, potentially providing complementary information prior to clinical trials and revealing the potential for this approach to be used in vivo in patients to annotate successful treatment.

Materials and Methods

Cell culture and growth curve determinations

PTEN-mutated LnCAP and homozygous PTEN-deleted PC3 cell line were obtained from the ATCC and cultured in RPMI1640 (Gibco) media supplemented with 10% FBS, 2.5 mmol/L l-glutamine, and incubated at 37°C in 5% CO2. MK2206, perifosine, and GDC0068 were obtained from Cayman Chemical. Growth curve determination was quantified every 4 hours for a total of 70 hours using an Incucyte (Essen BioScience) at ×10 magnification. IC50 was determined using Prism GraphPad using a nonlinear regression for exponential growth.

Western blotting and immunocytochemistry

Cells were lysed in Pierce RIPA buffer with 100 × Halt protease and phosphatase inhibitor cocktail (Thermo Fisher Scientific). The samples were resolved by 4% to 12% SDS-PAGE and transferred to nitrocellulose membranes. The blots were blocked with 5% BSA, 1% Tween-20 Tris-buffered saline. All primary and secondary antibodies were obtained from Cell Signaling Technology and visualized using chemiluminescence. For immunocytochemistry, cells were grown on coverslips and fixed with 100% methanol before blocking and incubation with primary antibodies and probed with secondary antibody coupled to Alexa-488 (Thermo Fisher Scientific).

Cell tracking and velocity determination

LnCAP cells, treated with MK2206, were incubated at 37°C under a time-lapse bright-field microscope (EVOS, Thermo Fisher Scientific). Images of the cells were taken every 30 minutes over a 6-hour period. The images were compiled and quantified manually using the TrackMate application in ImageJ. For every treatment condition, a total of at least 15 individual cells were tracked, and velocity measurements were quoted as the mean value ± SE.

Metabolite determination and fractional enrichment

Extracellular metabolites in cell culture media were directly measured using 1H NMR on a 14.1T NMR spectrometer (Bruker Biospin), after addition of 100 μL of 10 × PBS in D2O, containing 0.5 mmol/L DSS as an internal standard and 10 mmol/L imidazole as a pH indicator to 100 μL of media.

Determination of high-energy phosphates was performed using the ADP/ATP Ratio Assay Kit (Abcam) according to the manufacturer’s instructions.

Fractional enrichment experiments were performed as described previously. Briefly, a total of 1 × 106 cells were plated in each well of a 6-well plate and treated with either vehicle or MK2206 for 24 hours. Subsequently, the media were exchanged for media containing 5 mmol/L [1,6-13C2] glucose enriched media (3 wells) or 5 mmol/L nonenriched glucose (3 wells) and incubated for 3 hours. After washing with ice-cold PBS, cells were extracted with 2 mL of 80% cold methanol. Extracts were placed at 80°C overnight then centrifuged and the supernatant isolated and lyophilized. The dried water-soluble extract was dissolved in 600 μL of standard and 10 mmol/L imidazole as pH indicator. NMR spectroscopy was performed on a 14.1T NMR spectrometer (Bruker Biospin), equipped with a cryoprobe and automatic sample changer. 1H spectra were acquired as described previously and resonances were quantified using Chenomx NMR Suite (Chenomx Inc.).

Tumor spheroid culture

LnCAP cells were trypsinized and diluted in a mixture of 1:1 (v/v) sodium alginate, BD Matrigel (Becton Dickinson) to a concentration of 1 × 105 cells/mL. For microscopy experiments, this mixture was loaded into a 1 mL syringe and extruded through a 23 G needle directly into a 100 mmol/L CaCl2. For hyperpolarized experiments, cells at the same concentration were directly loaded into hollow fibers (A/G Technology Corporation) and dropped into a 100 mmol/L CaCl2 solution to polymerize. To ensure adequate oxygenation, spheroids were cultured in 6-well plates on a rotating incubator placed in a cell culture incubator. For viability studies, spheroids were stained with LIVE/DEAD Viability Kit (Thermo Fisher Scientific) according to the manufacturer’s instructions. Histologic and immunohistologic staining were performed on spheroids that were fixed in 10% neutral-buffered formalin and embedded in paraffin by the MSKCC Molecular Cytology Core Facility.

Hyperpolarization and MRS

[1-13C] pyruvate was prepared for HP according to published reports (16) using a prototype SpinLab (General Electric) for approximately 90 minutes before dissolving with a 40 mmol/L Tris buffer.

NMR studies were performed on a 1 Tesla Magritek Spectrometer (Magritek) using a 5 mm 1H/13C coil. The dissolution process, transfer, and transit to spectrometer was approximately 20 seconds. Hollow fibers filled with cancer cell spheroids were directly deposited in a 5-mm NMR tube before injection of a solution of 10 mmol/L hyperpolarized [1-13C] pyruvate. For the acquisition of spectra, a repetition time (TR) of 4 seconds was applied for a total of 25 scans using a 10 degree flip angle. Quantification of NMR spectra was performed using Mnova NMR.

Results

Targeted AKT chemotherapy in PTEN-mutated prostate cancer cells results in growth inhibition

The mutational landscape of prostate cancer has been annotated in large-scale sequencing initiatives (17). Using the MSKCC cBioPortal for Cancer Genomics, a web resource for visualizing cancer genomics data (18), mutations in the PAM pathway account for 29% of 333 sequenced patients with prostate adenocarcinoma. Of these, 21% of patients had mutations in the PTEN gene that codes for a phosphatase that acts as a negative regulator to AKT. The two next frequent mutations occur upstream of AKT, with PI3K regulatory subunit alpha (PIK3R1 gene) accounting for 7% of mutations and the gene encoding for the catalytic subunit alpha (PIK3CA) accounting for another 7% (Fig. 1A). Informed by these mutations, we first investigated the ability of AKT inhibitors to inhibit growth of prostate cancer cell lines.

Figure 1.

Figure 1.

The PI3K/AKT/mTOR pathway is frequently mutated in prostate cancer and can be targeted using AKT inhibitors. A, Genomic sequencing data from 333 patients with prostate adenocarcinoma showcasing mutations in 7 genes in the PI3K/AKT/mTOR pathway, detectable in 29% of all patients. B, Growth curves of LnCAP cells treated with increasing concentrations of non–ATP-competitive AKT inhibitor, MK2206. C, Western blots of LnCAP and PC3 cells after treatment with MK2206 reveal rapid and sustained inhibition of AKT signaling as evidenced by loss of p-AKT (S473) phosphorylation. D, PTEN-null cells (LnCAP and PC3) are sensitive to growth inhibition by different classes of AKT inhibitors, including MK2206, perifosine, and GDC0068.

Using MK2206, a non–ATP-competitive inhibitor that has been trialed in patients (19), a dose escalation study was performed on PTEN-mutated LnCAP cells (Fig. 1B) with a 50% reduction in growth seen at 1 mmol/L MK2206. At this concentration, AKT activity is inhibited as early as 2 hours posttreatment, evidenced by loss of phosphorylation of AKT at residue Ser473. This loss of AKT is sustained in both PC3 and LnCAP cell lines over a period of 24 hours (Fig. 1C).

Similar growth-inhibitory effects are seen with two other AKT inhibitors, perifosine and GDC-0068, on LnCAP and PC3 cells (homozygous PTEN deleted). Although perifosine and MK2206 are non–ATP-competitive inhibitors of AKT, while GDC-0068 is ATP competitive, a growth-inhibitory effect was evident for both cell lines detected at the concentrations shown in Fig. 1D.

MK2206 treatment reduces cell motility and aerobic glycolysis, independent of changes in ATP/ADP ratio

Activation of AKT requires recruitment of the kinase to the plasma membrane (2). Accordingly, MK2206 inhibition results in a dramatic reduction of AKT localization to the cell membrane as evidenced by immunofluorescence using a p-AKT (Ser473) primary antibody as shown in Fig. 2A. Recently, AKT recruitment to the plasma membrane has been shown to rely on components of the cytoskeleton, in an energy-requiring process (20). To our surprise, 1 μmol/L of MK2206, although sufficient to block activation of AKT, resulted in no change to the ratio of ADP/ATP in the cell. As a positive control, 5 mmol/L of the glucose analogue 2-deoxyglucose resulted in a significant increase in the ADP/ATP ratio, from a control value of 0.03 ± 0.01 to 0.13 ± 0.03, P < 0.05 (Fig. 2B).

Figure 2.

Figure 2.

AKT inhibition in LnCAP cells results in reduced cell motility and aerobic glycolysis. A, Vehicle-treated (DMSO) LnCAP cells concentrate p-AKT (S473) at the plasma membrane (left) and staining is lost 24 hours after treatment with MK2206 (right). B, Measurement of ADP/ATP ratio in MK2206-treated cells was not significantly different from control cells, as opposed to treatment using a glycolytic inhibitor, 2-deoxyglucose (2-DG). C, Representative images of LnCAP cells used to quantify velocity, with AKT inhibition resulting in significantly reduced cell motility. D, Quantification of metabolites in culture media in LnCAP and PC3 cells 24 hours after treatment with MK2206 reveal reduced lactate production and decreased glucose consumption. E and F, Fractional enrichment experiments using [1,6-13C2] glucose in MK2206-treated cells result in a lower percentage of labeled lactate and alanine. G, Quantification of cofactor ratios in LnCAP cells treated either with MK2206 or DMSO demonstrated lower ratios of NAD+/NADH 24 hours posttreatment.

Although the ratio of high-energy phosphates in the cell appeared to not significantly change after AKT inhibition, we observed a significant decrease in cell motility as well as metabolism. Cell-tracking experiments performed over a period of 6 hours on LnCAP cells treated with MK2206 revealed a decrease in motility from 0.72 ± 0.04 to 0.46 ± 0.03 μm/s (P < 0.05 as shown in Fig. 2C). In addition, cellular metabolism was also altered, with both LnCAP and PC3 cells showing significantly decreased lactate secretion and glucose consumption, as evidenced by quantification of metabolites in cell culture media (Fig. 2D).

Isotopic tracing experiments using [1,6-13C2] glucose revealed that the change in metabolism could be ascribed to reduced aerobic glycolysis. Although vehicle (DMSO)-treated LnCAP cells demonstrated no significance in 13C-fractional enrichment in both alanine and lactate compared with untreated cells, MK2206-treated cells showed decreased fractional enrichment in both these metabolites. Alanine levels in the media of DMSO-treated cells were enriched to 31.6 ± 13.0 compared with MK2206-treated cells at 14.7% ± 4.0%, P < 0.05 (Fig. 2E). Alanine enrichment from 13C-labeled glucose can be attributed to alanine transaminase activity that converts glucose-derived pyruvate to alanine (21). A similar trend was observed with lactate (79.3% ± 13.0% vs. 37.6% ± 10.0%, DMSO vs. MK2206, P < 0.05), as shown in Fig. 2F. Collectively, these changes in metabolism can be attributed to a reduced rate of aerobic glycolysis in LnCAP cells 24 hours after treatment with MK2206. To determine the mechanism behind reduced glycolysis, we quantified the NAD+/NADH ratio in cells and MK2206-treated cells had a lower ratio of cofactors compared with vehicle-treated cells (0.799 ± 0.107 vs. 0.988 ± 0.162, P < 0.05; Fig. 2G; Supplementary Fig. S1).

Measurement of a number of transporters and enzymes linked to metabolism through Western blotting did not reveal significant changes in total protein levels (Supplementary Fig. S2). Similarly, there was no significant localization of hexokinase II (HKII) or glucose transporter 1 (Glut-1) in LnCAP cells after treatment with MK2206 (Supplementary Figs. S3 and S4, respectively).

LnCAP cells grown in alginate:Matrigel assemble into tumor spheroids that metabolize hyperpolarized [1-13C] pyruvate

The reduction of aerobic glycolysis suggested that hyperpolarized MRS (HP-MRS) may be able to detect MK2206-induced AKT inhibition. The ability to rapidly measure metabolism in biopsy-acquired tissues may allow an additional biomarker for evaluating tumor grade and/or tumor treatment response. To better mimic human disease, we wanted to perform hyper-polarized experiments on 3D tumor spheroids.

Using a matrix of 1:1 sodium alginate:Matrigel, LnCAP cells rapidly self-assemble into 3D spheroid structures over a period of 24 hours as visualized using time-lapse microscopy in Supplementary Fig. S5. These spheroids are randomly distributed when visualized under light microscopy (Fig. 3A, left), contain many DAPI-stained nuclei (Fig. 3A, middle), and calcein-AM, a fluorescent marker of cell viability, showed that these structures were predominantly viable (Fig. 3A, right). These spheroids have a distribution of sizes that peaks at a cross-section of 200 mm (Fig. 3B).

Figure 3.

Figure 3.

LnCAP cells form 3D spheroids in extracellular matrix that are amenable to hyperpolarized MRS. A, LnCAP cells grown in 1:1 alginate:Matrigel form distinct organoids as visualized under light microscopy (left), that contain multiple DAPI-stained nuclei (middle) and stain positive with calcein-AM, a fluorescent marker of cell viability (right). B, Spheroid cross-section distribution peaks at approximately 200 μm. C, For hyperpolarized experiments, LnCAP cells seeded in matrix were deposited into porous hollow fibers, D, Direct deposition of the hollow fiber in a 5-mm NMR tube followed by injection of 5 mmol/L HP [1-13C] pyruvate resulted in rapid formation of [1-13C] lactate.

For hyperpolarized experiments, the alginate:Matrigel matrix seeded with LnCAP cells were deposited into porous hollow fibers, as depicted in Fig. 3C. The porous fibers allow gaseous and metabolite exchange, providing for extended culture periods. Direct deposition of the hollow fiber in a 5-mm NMR tube followed by injection of 5 mmol/L HP [1-13C] pyruvate resulted in rapid formation of [1-13C] lactate (Fig. 3D).

Besides spheroid culture, alginate:Matrigel threads containing high concentrations of LnCAP cells that mimicked dimensions of human biopsies were also tested. In contrast to distinct spheroids, these threads had evenly dispersed cells throughout the structure. These threads can be wound around a custom-printed insert built to fit into a 5-mm NMR. Injection of an HP [1-13C] pyruvic acid solution to the threads also resulted in the formation of [1-13C] lactate (Supplementary Fig. S6). These “biopsy mimics” represent another potential utility of hyperpolarized pyruvate in human samples. Patient-derived material can be directly deposited into an NMR tube without further manipulation and can then be retrieved for downstream analysis.

Targeted AKT inhibitor treatment tumor spheroids reduces HP [1-13C] pyruvic acid conversion to [1-13C] lactate

Having demonstrated the ability to grow tumor spheroids in NMR-compatible scaffolds, we went on to investigate whether HP-MRS can be used to detect metabolic changes associated with AKT inhibition. LnCAP spheroids grown in hollow-fiber scaffolds were deposited into an NMR tube immediately before dissolution of a hyperpolarized pyruvate sample. In vehicle-treated threads, hyperpolarized pyruvate was robustly converted to lactate. However, treatment with MK2206 rapidly reduces the rate of lactate formation (Fig. 4A). Quantification of the amount of lactate produced as a ratio of pyruvate hydrate in MK2206-treated threads revealed a reduction of approximately one third compared with DMSO-treated threads (0.08 ± 0.006 vs. 0.29 ± 0.012, P < 0.05) as evidenced in Fig. 4B. On-target inhibition in these threads was confirmed using IHC with p-AKT (Ser473) primary antibody (Fig. 4C). Activated AKT in vehicle-treated spheroids was concentrated on the plasma membrane of spheroids, and this staining pattern was lost after drug treatment. Further IHC staining of these spheroids showed similar amounts of Ki-67 staining between vehicle and MK2206 treatment (31.7% ± 2.5% vs.34.0% ± 1.7%) that was not significantly different between the two samples (P > 0.05), suggesting that at this early time point, the number of proliferating cells in the sets of spheroids was similar (Fig. 4D and E).

Figure 4.

Figure 4.

Hyperpolarized MRS of LnCAP spheroids reveal reduced lactate production after AKT inhibition. A, Representative spectra of spheroids treated with either DMSO or MK2206 after 24 hours. A total of 25 spectra were acquired with a 10° flip angle every 4 seconds after delivery of approximately 1 mmol/L hyperpolarized [1-13C] pyruvate. *, an unidentified contaminant that is present in the dissolution. B, Quantification of the summed lactate integral divided by the integral of the lactate and pyruvate hydrate in MK2206-treated spheroids were significantly lower than vehicle treatment. C, IHC using a primary antibody against p-AKT (Ser473) showed significantly reduced AKT phosphorylation 24 hours after MK2206 treatment with D, no significant change in Ki-67 as quantified in E.

Discussion

The vast majority of prostate cancer patients that present with localized disease at diagnosis are treated with surgical resection and have an excellent prognosis (22). However, about a third of treated patients present with recurrent disease and are then put on to androgen deprivation therapy. Although patients typically exhibit an early response to androgen deprivation, the majority of patients then develop androgen resistance (23), leading to CRPC. Previous large-scale sequencing studies have found mutations in the PAM pathway in 42% of localized disease and 100% of advanced disease, suggesting that this pathway plays a critical role in CRPC (5).

This has led to a number of clinical trials involving inhibitors of different components of this pathway. In general, these drugs fall into 4 broad classes (24), PI3K inhibitors, AKT inhibitors, allosteric, and ATP-site mTOR inhibitors and dual PI3K/mTOR inhibitors, although none are yet approved for use in prostate cancer. One of the biggest challenges of targeting the PAM pathway has been the lack of companion biomarkers that can identify patient response (25). The majority of clinical biomarkers have been histology based, for example, the phosphorylation of ribosomal protein S6 (p-S6) in pretreatment compared with posttreatment biopsies (26). However, the same study found no association between p-S6 staining in biopsies with tumor proliferation and apoptosis.

The possibility of using HP-MRS to detect changes in metabolism as a potential biomarker for on-target therapeutic inhibition motivated this study. We selected AKT inhibitors, as this kinase has been called the master regulator of aerobic glycolysis (27) and has been shown to regulate glucose transporters (28), hexokinase (29) as well as phosphofructokinase (30). Our experiments support these observations, with both PC3 and LnCAP cells, that are sensitive to growth inhibition by the AKT inhibitor, MK2206, demonstrating reduced lactate secretion and glucose consumption. These metabolic changes occur rapidly, before any change in cell viability. We also saw a change in cell velocity, consistent with previous work using PI3K/AKT inhibitors that show reduced motility in endometrial cancer (31), glioblastoma (32), and breast cancer (33). The reduction in aerobic glycolysis and cell motility was not accompanied by changes in cellular ADP/ATP ratios. Cellular high-energy phosphate levels are tightly regulated, with increased ADP and AMP concentrations activating AMP-activated protein kinase (AMPK; ref. 34). AMPK phosphorylates diverse downstream targets that can lead to autophagy, mitophagy, cell-cycle arrest as well as the termination of protein synthesis (35). We postulate that changes in nutrient consumption (such as aerobic glycolysis) and cellular motility are early, reversible events in response to AKT inhibition, while depletion of ATP occurs later with a myriad of downstream consequences that are irreversible and therefore energetically costly. As such, the metabolic changes we observe using 1 μmol/L MK2206, 24 hours posttreatment, may represent an acute response of LnCAP cells to AKT inhibition, preceding the growth-inhibitory effects of the drug that occur at later time points. The molecular mechanisms that govern these metabolic changes will be the focus of future studies, as our results have shown that reduced aerobic glycolysis is not accompanied by relocalization and/or reduced total protein levels of transporters and enzymes involved in metabolism. It is likely that at early time points, such as 24 hours post-AKT inhibition, changes in the affinity of enzymes and transporters involved in metabolism might account for the changes seen in nutrient consumption.

We have demonstrated the ability to measure metabolism in cancer spheroids using HP [1-13C] pyruvate. Although previous studies have demonstrated the ability to measure metabolism in cells that were grown ex situ, pioneering experiments utilized either suspension cells or trypsinized, adherent cell suspensions. The majority of cells derived from vertebrates are anchorage dependent, and trypsinization has been shown to change cell physiology (36). As such, more sophisticated models of culture suited for HP NMR studies have been developed including using microcarriers (37) as well as sodium alginate beads (13). Subsequent experiments have also been performed on whole organs, such as the perfused heart (38) and liver (39). The techniques described in this study add another preclinical cellular model that can be interrogated using HP-MRS. As a proof of concept, hyper-polarized experiments were carried out on immortalized cell line–derived spheroids, but we expect that patient-derived organoids can also be used in the future for similar studies. Although culturing patient-derived organoids can be technically challenging and costly (40), there are many advantages to this 3D culture system, and the nondestructive nature of HP-MRS means that these precious samples can be retrieved for downstream applications. Current organoid culture methods use extracellular matrices that are similar to the one utilized in this study and the fidelity of organoid culture to clinical disease may prove informative in complementing clinical trials of HP-MRS. There are a number of ongoing clinical trials of using hyperpolarized pyruvate as a biomarker of response postchemotherapy in prostate (Clinical-Trials.gov identifier: ) as well as breast cancer () patients. The ability to perform hyperpolarized experiments on patient-derived organoids with similar genomic and molecular characteristics as clinical trial participants will be invaluable. As organoids can be continually cultured and can be treated with a variety of chemotherapies, HP-MRS experiments performed on organoids can ultimately be used to predict patient populations that will most benefit from this imaging method.

In summary, this study has shown that targeted AKT inhibition in prostate cancer cells result in a reduction of cell growth. This growth-inhibitory effect is preceded by changes in cell metabolism, measurable as a decrease in aerobic glycolysis. HP-MRS can be used to detect AKT inhibition in 3D cell spheroid models. The methods described here can be translated to patient-derived organoids, with the possibility of informing future imaging clinical trials.

Supplementary Material

supp

Acknowledgments

This research was funded in part through the NIH/NCI Cancer Center Support grant P30 CA008748 (to K.R. Keshari), NIH/NCI R01 CA195476 and NIH/NIBIB R00 EB014328 (to K.R. Keshari) as well as Memorial Sloan Kettering’s Center for Molecular Imaging and Nanotechnology (CMINT; to S.S. Tee).

The authors would like to extend their appreciation to members of the Neal Rosen laboratory for their helpful discussions and suggestions for experiments.

Footnotes

Note: Supplementary data for this article are available at Molecular Cancer Research Online (http://mcr.aacrjournals.org/).

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

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.

References

  • 1.Chen Y, Scher HI. Prostate cancer in 2011: hitting old targets better and identifying new targets. Nat Rev Clin Oncol 2012;9:70–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Martini M, De Santis MC, Braccini L, Gulluni F, Hirsch E. PI3K/AKT signaling pathway and cancer: an updated review. Ann Med 2014;46: 372–83. [DOI] [PubMed] [Google Scholar]
  • 3.Cully M, You H, Levine AJ, Mak TW. Beyond PTEN mutations: the PI3K pathway as an integrator of multiple inputs during tumorigenesis. Nat Rev Cancer 2006;6:184–92. [DOI] [PubMed] [Google Scholar]
  • 4.Chalhoub N, Baker SJ. PTEN and the PI3-kinase pathway in cancer. Annu Rev Pathol 2009;4:127–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Taylor BS, Schultz N, Hieronymus H, Gopalan A, Xiao Y, Carver BS, et al. Integrative genomic profiling of human prostate cancer. Cancer Cell 2010;18:11–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bitting RL, Armstrong AJ. Targeting the PI3K/Akt/mTOR pathway in castration-resistant prostate cancer. Endocr Relat Cancer 2013; 20:R83–99. [DOI] [PubMed] [Google Scholar]
  • 7.Brindle K New approaches for imaging tumour responses to treatment. Nat Rev Cancer 2008;8:94–107. [DOI] [PubMed] [Google Scholar]
  • 8.Tee SS, Keshari KR. Novel approaches to imaging tumor metabolism. Cancer J 2015;21:165–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ardenkjaer-Larsen JH, Fridlund B, Gram A, Hansson G, Hansson L, Lerche MH, et al. Increase in signal-to-noise ratio of >10,000 times in liquid-state NMR. Proc Natl Acad Sci U S A 2003;100:10158–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Nelson SJ, Kurhanewicz J, Vigneron DB, Larson PE, Harzstark AL, Ferrone M, et al. Metabolic imaging of patients with prostate cancer using hyper-polarized [1-C-13]pyruvate. Sci Transl Med 2013;5:198ra108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gillies RJ, Mackenzie NE, Dale BE. Analyses of bioreactor performance by nuclear magnetic-resonance spectroscopy. Nat Biotechnol 1989;7:50–4. [Google Scholar]
  • 12.Day SE, Kettunen MI, Gallagher FA, Hu DE, Lerche M, Wolber J, et al. Detecting tumor response to treatment using hyperpolarized C-13 magnetic resonance imaging and spectroscopy. Nat Med 2007;13:1382–7. [DOI] [PubMed] [Google Scholar]
  • 13.Keshari KR, Kurhanewicz J, Jeffries RE, Wilson DM, Dewar BJ, Van Criekinge M, et al. Hyperpolarized C-13 spectroscopy and an NMR-compatible bioreactor system for the investigation of real-time cellular metabolism. Magn Reson Med 2010;63:322–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fatehullah A, Tan SH, Barker N. Organoids as an in vitro model of human development and disease. Nat Cell Biol 2016;18:246–54. [DOI] [PubMed] [Google Scholar]
  • 15.Gao D, Vela I, Sboner A, Iaquinta PJ, Karthaus WR, Gopalan A, et al. Organoid cultures derived from patients with advanced prostate cancer. Cell 2014;159:176–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Keshari KR, Sriram R, Koelsch BL, Van Criekinge M, Wilson DM, Kurhanewicz J, et al. Hyperpolarized 13C-pyruvate magnetic resonance reveals rapid lactate export in metastatic renal cell carcinomas. Cancer Res 2013;73:529–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM, et al. Integrative clinical genomics of advanced prostate cancer. Cell 2015;161:1215–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gao JJ, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal 2013;6:pl1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yap TA, Yan L, Patnaik A, Fearen I, Olmos D, Papadopoulos K, et al. First-inman clinical trial of the oral pan-AKT inhibitor MK-2206 in patients with advanced solid tumors. J Clin Oncol 2011;29:4688–95. [DOI] [PubMed] [Google Scholar]
  • 20.Zhao Y, Lin YT, Zhang HH, Manas A, Tang WW, Zhang YZ, et al. Ubl4A is required for insulin-induced Akt plasma membrane translocation through promotion of Arp2/3-dependent actin branching. Proc Natl Acad Sci U S A 2015;112:9644–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Damico LA, White LT, Yu X, Lewandowski ED. Chemical versus isotopic equilibrium and the metabolic fate of glycolytic end products in the heart. J Mol Cell Cardiol 1996;28:989–99. [DOI] [PubMed] [Google Scholar]
  • 22.Siegel R, DeSantis C, Virgo K, Stein K, Mariotto A, Smith T, et al. Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin 2012;62: 220–41. [DOI] [PubMed] [Google Scholar]
  • 23.Walsh PC. Re: The natural history of metastatic progression in men with prostate-specific antigen recurrence after radical prostatectomy: long-term follow-up editorial comment. J Urol 2012;188:809. [DOI] [PubMed] [Google Scholar]
  • 24.Fruman DA, Rommel C. PI3K and cancer: lessons, challenges and opportunities. Nat Rev Drug Discov 2014;13:140–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Edlind MP, Hsieh AC. PI3K-AKT-mTOR signaling in prostate cancer progression and androgen deprivation therapy resistance. Asian J Androl 2014;16:378–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Armstrong AJ, Netto GJ, Rudek MA, Halabi S, Wood DP, Creel PA, et al. A pharmacodynamic study of rapamycin in men with intermediate- to high-risk localized prostate cancer. Clin Cancer Res 2010;16:3057–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Mosca E, Alfieri R, Maj C, Bevilacqua A, Canti G, Milanesi L. Computational modeling of the metabolic states regulated by the kinase Akt. Front Physiol 2012;3:418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kim DI, Lim SK, Park MJ, Han HJ, Kim GY, Park SH. The involvement of phosphatidylinositol 3-kinase/Akt signaling in high glucose-induced downregulation of GLUT-1 expression in ARPE cells. Life Sci 2007;80: 626–32. [DOI] [PubMed] [Google Scholar]
  • 29.Miyamoto S, Murphy AN, Brown JH. Akt mediates mitochondrial protection in cardiomyocytes through phosphorylation of mitochondrial hexokinase-II. Cell Death Differ 2008;15:521–9. [DOI] [PubMed] [Google Scholar]
  • 30.Deprez J, Vertommen D, Alessi DR, Hue L, Rider MH. Phosphorylation and activation of heart 6-phosphofructo-2-kinase by protein kinase B and other protein kinases of the insulin signaling cascades. J Biol Chem 1997;272: 17269–75. [DOI] [PubMed] [Google Scholar]
  • 31.Winder A, Unno K, Yu Y, Lurain J, Kim JJ. The allosteric AKT inhibitor, MK2206, decreases tumor growth and invasion in patient derived xenografts of endometrial cancer. Cancer Biol Ther 2017. January 23 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kwiatkowska A, Kijewska M, Lipko M, Hibner U, Kaminska B. Down-regulation of Akt and FAK phosphorylation reduces invasion of glioblastoma cells by impairment of MT1-MMP shuttling to lamellipodia and downregulates MMPs expression. Biochim Biophys Acta 2011; 1813:655–67. [DOI] [PubMed] [Google Scholar]
  • 33.Choi JA, Jung YS, Kim JY, Kim HM, Lim IK. Inhibition of breast cancer invasion by TIS21/BTG2/Pc3-Akt1-Sp1-Nox4 pathway targeting actin nucleators, mDia genes. Oncogene 2016;35:83–93. [DOI] [PubMed] [Google Scholar]
  • 34.Hardie DG. AMP-activated protein kinase-an energy sensor that regulates all aspects of cell function. Gene Dev 2011;25:1895–908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hardie DG, Ross FA, Hawley SA. AMPK: a nutrient and energy sensor that maintains energy homeostasis. Nat Rev Mol Cell Biol 2012;13: 251–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Huang HL, Hsing HW, Lai TC, Chen YW, Lee TR, Chan HT, et al. Trypsin-induced proteome alteration during cell subculture in mammalian cells. J Biomed Sci 2010;17:36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gallagher FA, Kettunen MI, Day SE, Lerche M, Brindle KM. 13C MR spectroscopy measurements of glutaminase activity in human hepato-cellular carcinoma cells using hyperpolarized 13C-labeled glutamine. Magn Reson Med 2008;60:253–7. [DOI] [PubMed] [Google Scholar]
  • 38.Schroeder MA, Atherton HJ, Ball DR, Cole MA, Heather LC, Griffin JL, et al. Real-time assessment of Krebs cycle metabolism using hyper-polarized C-13 magnetic resonance spectroscopy. FASEB J 2009;23: 2529–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Moreno KX, Moore CL, Burgess SC, Sherry AD, Malloy CR, Merritt ME. Production of hyperpolarized 13CO2 from [1–13C]pyruvate in perfused liver does reflect total anaplerosis but is not a reliable biomarker of glucose production. Metabolomics 2015;11:1144–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Weeber F, Ooft SN, Dijkstra KK, Voest EE. Tumor organoids as a pre-clinical cancer model for drug discovery. Cell Chem Biol 2017;24:1092–100. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

supp

RESOURCES