Metformin--an adjunct antineoplastic therapy--divergently modulates tumor metabolism and proliferation, interfering with early response prediction by 18F-FDG PET imaging

Effect of metformin on 18F-fluorodeoxyglucose uptake and positron emission tomographic imaging

Metformin is widely used to treat diabetes, but induces changes in glucose uptake in both normal organs and tumors. Here, we review the effects of metformin on the uptake of ¹⁸F-fludeoxyglucose (¹⁸F-FDG) in tissues and tumors, and its influence on ¹⁸F-FDG positron emission tomographic imaging (¹⁸F-FDG PET), as well as the mechanisms involved. This is an important issue, because metformin has diverse effects on tissue uptake of ¹⁸F-FDG, and this can affect the quality and interpretation of PET images. Metformin increases glucose uptake in the gastrointestinal tract, cerebral white matter, and the kidney, while regions of the cerebrum associated with memory show decreased glucose uptake, and the myocardium shows no change. Hepatocellular carcinoma and breast cancer show increased glucose uptake after metformin administration, while thyroid cancer shows decreased uptake, and colon and pancreatic cancers show no change. A high-energy diet increases ¹⁸F-FDG uptake, but this effect is blocked by metformin. Withdrawal of metformin 48 h before PET image acquisition is widely recommended. However, based on our review of the literature, we propose that the differentiation of metformin discontinuation could be reasonable. But future clinical trials are still needed to support our viewpoint.

Preclinical meritorious anticancer effects of Metformin against breast cancer: An In vivo trial

OBJECTIVE

This research aims to evaluate the preclinical meritorious and anticancer effects of Metformin in a Xenograft model of breast cancer.

METHODS

This interventional trial was conducted during a defined period of 5 months (August 2016 January 2017). We used a Xenograft model of nude BALB/c mice. A sample size of 50 mice, allocated into two groups and designated as Group A and Group B for Metformin and negative control groups, respectively. The anticancer activity of Metformin has been evaluated by comparing the tumour volume, tumour weight, tumour regression ratio, percentage regression, and survival rate.

RESULTS

Compared with the control group, Metformin can significantly reduce the progression of tumour in the Xenograft model of breast cancer induced by MCF-7. This is reflected by significant differences in tumour volume at the final follow-up (p = <0.001). Our findings are further supported by a significant reduction of the tumour growth rate (p = <0.001) and tumour weight (p = <0.001) in the Metformin group than in the control group. Similarly, the total survival rate and tumour regression are more significantly correlated in the Metformin group.

CONCLUSION

This study demonstrates that Metformin can significantly reduce the tumour growth and can increase the survival rate in a Xenograft model of breast cancer.

The Metabolic Landscape of Prostate Cancer

CONTEXT

Neoplastic cells are characterized by metabolic alterations that sustain tumor growth. Interventions aimed at modifying metabolic rewiring of cancer cells are currently being investigated in several tumor types, including prostate cancer (PC).

OBJECTIVE

To review relevant metabolic alterations reported for PC and potential diagnostic and therapeutic opportunities that could be exploited on the basis of these discoveries.

EVIDENCE ACQUISITION

We performed a review of PubMed/Medline in March 2018 for PC in association with each of the following search terms: metabolomics; lipid, cholesterol, one-carbon, amino acid, and glucose metabolism. Fifty publications were selected for inclusion in this analysis.

EVIDENCE SYNTHESIS

The reports included were grouped according to fatty acid and cholesterol metabolism (28 studies); one-carbon metabolism (9 studies); amino acid metabolism (6 studies); and glucose metabolism (7 studies). We report on multiple metabolic pathways that are dysregulated in prostate cancer. Metabolic alterations can result in at least one of the following changes: protein lipidation, oncogene activation, DNA methylation, cellular signaling, and protein-protein interactions.

CONCLUSIONS

Metabolic alterations play a crucial role in PC development, progression, and resistance to therapy. Increasing knowledge of metabolic rewiring is revealing novel metabolic signatures in PC. These signatures could be utilized for PC diagnosis, as well as for the discovery of novel therapeutic interventions to overcome castration resistance.

PATIENT SUMMARY

Metabolic alterations play a crucial role in the development and progression of prostate cancer and its resistance to therapy. Our knowledge of metabolic rewiring is increasing and revealing novel metabolic signatures in prostate cancer. These signatures could be used for diagnosis and for the discovery of novel therapeutic interventions aimed at overcoming castration resistance.

Visualizing the effects of metformin on tumor growth, vascularity, and metabolism in head and neck cancer

BACKGROUND

The antidiabetic drug metformin (Met) is believed to inhibit tumor proliferation by altering the metabolism of cancer cells. In this study, we examined the effects of Met on tumor oxygenation, metabolism, and growth in head and neck squamous cell carcinoma (HNSCC) using non-invasive multimodal imaging.

MATERIALS AND METHODS

Severe combined immunodeficient (SCID) mice bearing orthotopic FaDu HNSCC xenografts were treated with Met (200 mg/kg, ip) once daily for 5 days. Tumor oxygen saturation (%sO₂ ) and hemoglobin concentration (HbT) were measured using photoacoustic imaging (PAI). Fluorescence imaging was employed to measure intratumoral uptake of 2-deoxyglucosone (2-DG) following Met treatment while magnetic resonance imaging (MRI) was utilized to measure tumor volume. Correlative immunostaining of tumor sections for markers of proliferation (Ki67) and vascularity (CD31) was also performed.

RESULTS

At 5 days post-Met treatment, PAI revealed a significant increase (P < .05) in %sO₂ and HbT levels in treated tumors compared to untreated controls. Fluorescence imaging at this time point revealed a 46% decrease in mean 2-DG uptake compared to controls. No changes in hemodynamic parameters were observed in mouse salivary gland tissue. A significant decrease in Ki-67 staining (P < .001) and MR-based tumor volume was also observed in Met-treated tumors compared to controls with no change in CD31 + vessel count following Met therapy.

CONCLUSION

Our results provide, for the first time, direct in vivo evidence of Met-induced changes in tumor microenvironmental parameters in HNSCC xenografts. Our findings highlight the utility of multimodal functional imaging for non-invasive mapping of the effects of Met in HNSCC.

Metformin inhibits gastric cancer cells metastatic traits through suppression of epithelial-mesenchymal transition in a glucose-independent manner

Epithelial-mesenchymal transition (EMT), which is mainly recognized by upregulation of mesenchymal markers and movement of cells, is a critical stage occurred during embryo development and spreading cancerous cells. Metformin is an antidiabetic drug used in treatment of type 2 diabetes. EMT inhibitory effect of metformin has been studied in several cancers; however, it remains unknown in gastric cancer. The aim of the present study was to investigate the metformin effects on inhibition of EMT-related genes as well as migration and invasion of AGS gastric cancer cell line. Moreover, to study the effect of glucose on metformin-mediated EMT inhibition, all experiments were performed in two glucose levels, similar to non-fasting blood sugar (7.8 mM) and hyperglycemic (17.5 mM) conditions. The results showed reduction of mesenchymal markers, including vimentin and β-catenin, and induction of epithelial marker, E-cadherin, by metformin in both glucose concentrations. Furthermore, wound-healing and invasion assays showed a significant decrease in cell migration and invasion after metformin treatment in both glucose levels. In conclusion, our results indicated that metformin strongly inhibited EMT of gastric cancer cells in conditions mimicking normo and hyperglycemic blood sugar.

Metformin reduces glycometabolism of papillary thyroid carcinoma in vitro and in vivo

More aggressive thyroid cancer cells show a higher activity of glycometabolism. Targeting cancer cell metabolism has emerged as a novel approach to prevent or treat malignant tumors. Glucose metabolism regulation effect of metformin in papillary thyroid cancer was investigated in the current study. Human papillary thyroid carcinoma (PTC) cell lines BCPAP and KTC1 were used. Cell viability was detected by CCK8 assay. Glucose uptake and relative gene expression were measured in metformin (0-10 mM for 48 h)-treated cells by ¹⁸F-FDG uptake assay and western blotting analysis, respectively. MicroPET/CT imaging was performed to detect ¹⁸F-FDG uptake in vivo After treatment with metformin at 0, 2.5, 5 and 10 mM for 48 h, the ratio of p-AMPK to total AMPK showed significant rising in a dose-dependent manner in both BCPAP and KTC1, whereas p-AKT and p-mTOR expression level were downregulated. ¹⁸F-FDG uptake reduced after metformin treatment in a dose-dependent manner, corresponding to the reduced expression level of HK2 and GLUT1 in vitro Xenograft model of PTC using BCPAP cells was achieved successfully. MicroPET/CT imaging showed that in vivo ¹⁸F-FDG uptake decreased after treatment with metformin. Immunohistochemistry staining further confirmed the reduction of HK2 and GLUT1 expression in the tumor tissue of metformin-treated PTC xenograft model. In conclusion, metformin could reduce glucose metabolism of PTC in vitro and in vivo Metformin, by targeting glycometabolism of cancer cells, could be a promising adjuvant therapy alternative in the treatment modality of advanced thyroid carcinoma.

Localized sequence-specific release of a chemopreventive agent and an anticancer drug in a time-controllable manner to enhance therapeutic efficacy

Combination chemotherapy with multiple drugs commonly requires several injections on various schedules, and the probability that the drug molecules reach the diseased tissues at the proper time and effective therapeutic concentrations is very low. This work elucidates an injectable co-delivery system that is based on cationic liposomes that are adsorbed on anionic hollow microspheres (Lipos-HMs) via electrostatic interaction, from which the localized sequence-specific release of a chemopreventive agent (1,25(OH)2D3) and an anticancer drug (doxorubicin; DOX) can be thermally driven in a time-controllable manner by an externally applied high-frequency magnetic field (HFMF). Lipos-HMs can greatly promote the accumulation of reactive oxygen species (ROS) in tumor cells by reducing their cytoplasmic expression of an antioxidant enzyme (superoxide dismutase) by 1,25(OH)2D3, increasing the susceptibility of cancer cells to the cytotoxic action of DOX. In nude mice that bear xenograft tumors, treatment with Lipos-HMs under exposure to HFMF effectively inhibits tumor growth and is the most effective therapeutic intervention among all the investigated. These empirical results demonstrate that the synergistic anticancer effects of sequential release of 1,25(OH)2D3 and DOX from the Lipos-HMs may have potential for maximizing DOX cytotoxicity, supporting more effective cancer treatment.

Glucose-corrected standardized uptake value in the differentiation of high-grade glioma versus post-treatment changes

Background

Standardized uptake values (SUVs) of fluorine-18 fluorodeoxyglucose PET (¹⁸F-FDG PET) are used widely to differentiate residual or recurrent high-grade gliomas from post-treatment changes in patients with brain tumors. The aim of this study is to assess the accuracy of SUV corrected by blood glucose level (SUV_gluc) compared with various quantitative methods in this role.

Materials and methods

In 55 patients with dynamic ¹⁸F-FDG PET scans, there were 97 glioma lesions: glioblastoma (n=60), grade III gliomas (n=22), grade III or IV gliomas (n=6), grade I/II (n=7), and prebiopsy lesions (n=2). The final actual diagnosis was made on the basis of pathology (n=33) and clinical outcome (n=64). Dynamic ¹⁸F-FDG PET scans were processed to generate parametric images of SUV_gluc, SUV_max, and glucose metabolic rate (GMR). Lesion to cerebellum ratios (SUV_Rc) and contralateral white matter ratios (SUV_Rw) were also measured. The SUV_gluc was calculated as SUV_max×blood glucose level/100.

Results

Using the thresholds of SUV_max>4.6, SUV_Rc>0.9, SUV_Rw>1.8, SUV_gluc>4.3, and GMR>12.2 μmol/min/100 g to represent positivity for viable tumors, the accuracies were the same for the SUV_gluc and SUV_Rw (80%) and were higher than the conventional SUV_max (72%). The area under the receiver operating characteristic curve for the SUV_gluc (0.8933) was better than that for the SUV_max (0.8266) (P<0.01) and was similar to those of the GMR (0.8622), SUV_Rc (0.8606), and SUV_Rw (0.8981).

Conclusion

These results suggest that SUV_gluc may aid in the differentiation of residual or recurrent high-grade tumor from post-treatment changes in patients with abnormal blood glucose levels. The simplicity of the SUV_gluc avoids the complexity of kinetic analysis or the requirement of a reference tissue.

Monitoring of anti-cancer treatment with (18)F-FDG and (18)F-FLT PET: a comprehensive review of pre-clinical studies

Functional imaging of solid tumors with positron emission tomography (PET) imaging is an evolving field with continuous development of new PET tracers and discovery of new applications for already implemented PET tracers. During treatment of cancer patients, a general challenge is to measure treatment effect early in a treatment course and by that to stratify patients into responders and non-responders. With 2-deoxy-2-[(18)F]fluoro-D-glucose ((18)F-FDG) and 3'-deoxy-3'-[(18)F]fluorothymidine((18)F-FLT) two of the cancer hallmarks, altered energy metabolism and increased cell proliferation, can be visualized and quantified non-invasively by PET. With (18)F-FDG and (18)F-FLT PET changes in energy metabolism and cell proliferation can thereby be determined after initiation of cancer treatment in both clinical and pre-clinical studies in order to predict, at an early time-point, treatment response. It is hypothesized that decreases in glycolysis and cell proliferation may occur in tumors that are sensitive to the applied cancer therapeutics and that tumors that are resistant to treatment will show unchanged glucose metabolism and cell proliferation. Whether (18)F-FDG and/or (18)F-FLT PET can be used for prediction of treatment response has been analyzed in many studies both following treatment with conventional chemotherapeutic agents but also following treatment with different targeted therapies, e.g. monoclonal antibodies and small molecules inhibitors. The results from these studies have been most variable; in some studies early changes in (18)F-FDG and (18)F-FLT uptake predicted later tumor regression whereas in other studies no change in tracer uptake was observed despite the treatment being effective. The present review gives an overview of pre-clinical studies that have used (18)F-FDG and/or (18)F-FLT PET for response monitoring of cancer therapeutics.

Radiosensitization of metformin in pancreatic cancer cells via abrogating the G2 checkpoint and inhibiting DNA damage repair

Recent evidences have demonstrated the potential of metformin as a novel agent for cancer prevention and treatment. Here, we investigated its ability of radiosensitization and the underlying mechanisms in human pancreatic cancer cells. In this study, we found that metformin at 5 mM concentration enhanced the radiosensitivity of MIA PaCa-2 and PANC-1 cells, with sensitization enhancement ratios of 1.39 and 1.27, respectively. Mechanistically, metformin caused abrogation of the G2 checkpoint and increase of mitotic catastrophe, associated with suppression of Wee1 kinase and in turn CDK1 Tyr15 phosphorylation. Furthermore, metformin inhibited both expression and irradiation-induced foci formation of Rad51, a key player in homologous recombination repair, ultimately leading to persistent DNA damage, as reflected by γ-H2AX and 53BP1 signaling. Finally, metformin-mediated AMPK/mTOR/p70S6K was identified as a possible upstream pathway controlling translational regulation of Wee1 and Rad51. Our data suggest that metformin radiosensitizes pancreatic cancer cells in vitro via abrogation of the G2 checkpoint and inhibition of DNA damage repair. However, the in vivo study is needed to further confirm the findings from the in vitro study.

Neoadjuvant Window Studies of Metformin and Biomarker Development for Drugs Targeting Cancer Metabolism

There has been growing interest in the potential of the altered metabolic state typical of cancer cells as a drug target. The antidiabetes drug, metformin, is now under intense investigation as a safe method to modify cancer metabolism. Several studies have used window of opportunity in breast cancer patients before neoadjuvant chemotherapy to correlate gene expression analysis, metabolomics, immunohistochemical markers, and metabolic serum markers with those likely to benefit. We review the role metabolite measurement, functional imaging and gene sequencing analysis play in elucidating the effects of metabolically targeted drugs in cancer treatment and determining patient selection.

Metformin and cancer: Technical and clinical implications for FDG-PET imaging

Metformin is the most widely used hypoglycemic agent. Besides its conventional indications, increasing evidence demonstrate a potential efficacy of this biguanide as an anticancer drug. Possible mechanisms of actions seem to be independent from its hypoglycemic effect and seem to involve the interference with key pathways in cellular proliferation and glycolysis. To date, many clinical trials implying the use of metformin in cancer treatment are on-going. The increasing use of ¹⁸F-2-fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET) in cancer evaluation raises a number of questions about the possible interference of the biguanide on FDG distribution. In particular, the interferences exerted by metformin on AMP-activated protein kinase pathway (the cellular energy sensor), on insulin levels and on Hexokinase could potentially have repercussion on glucose handling and thus on FDG distribution. A better comprehension of the impact of metformin on FDG uptake is needed in order to optimize the use of PET in this setting. This evaluation would be useful to ameliorate scans interpretation in diabetic patients under chronic metformin treatment and to critically interpret images in the context of clinical trials. Furthermore, collecting prospective data in this setting would help to verify whether FDG-PET could be a valid tool to appreciate the anticancer effect of this new therapeutic approach.

Mechanisms by which low glucose enhances the cytotoxicity of metformin to cancer cells both in vitro and in vivo

Different cancer cells exhibit altered sensitivity to metformin treatment. Recent studies suggest these findings may be due in part to the common cell culture practice of utilizing high glucose, and when glucose is lowered, metformin becomes increasingly cytotoxic to cancer cells. In low glucose conditions ranging from 0 to 5 mM, metformin was cytotoxic to breast cancer cell lines MCF7, MDAMB231 and SKBR3, and ovarian cancer cell lines OVCAR3, and PA-1. MDAMB231 and SKBR3 were previously shown to be resistant to metformin in normal high glucose medium. When glucose was increased to 10 mM or above, all of these cell lines become less responsive to metformin treatment. Metformin treatment significantly reduced ATP levels in cells incubated in media with low glucose (2.5 mM), high fructose (25 mM) or galactose (25 mM). Reductions in ATP levels were not observed with high glucose (25 mM). This was compensated by enhanced glycolysis through activation of AMPK when oxidative phosphorylation was inhibited by metformin. However, enhanced glycolysis was either diminished or abolished by replacing 25 mM glucose with 2.5 mM glucose, 25 mM fructose or 25 mM galactose. These findings suggest that lowering glucose potentiates metformin induced cell death by reducing metformin stimulated glycolysis. Additionally, under low glucose conditions metformin significantly decreased phosphorylation of AKT and various targets of mTOR, while phospho-AMPK was not significantly altered. Thus inhibition of mTOR signaling appears to be independent of AMPK activation. Further in vivo studies using the 4T1 breast cancer mouse model confirmed that metformin inhibition of tumor growth was enhanced when serum glucose levels were reduced via low carbohydrate ketogenic diets. The data support a model in which metformin treatment of cancer cells in low glucose medium leads to cell death by decreasing ATP production and inhibition of survival signaling pathways. The enhanced cytotoxicity of metformin against cancer cells was observed both in vitro and in vivo.

A novel direct activator of AMPK inhibits prostate cancer growth by blocking lipogenesis

5′AMP-activated kinase (AMPK) constitutes a hub for cellular metabolic and growth control, thus representing an ideal therapeutic target for prostate cancers (PCas) characterized by increased lipogenesis and activation of mTORC1 pathway. However, whether AMPK activation itself is sufficient to block cancer cell growth remains to be determined. A small molecule screening was performed and identified MT 63–78, a specific and potent direct AMPK activator. Here, we show that direct activation of AMPK inhibits PCa cell growth in androgen sensitive and castration resistant PCa (CRPC) models, induces mitotic arrest, and apoptosis. In vivo, AMPK activation is sufficient to reduce PCa growth, whereas the allelic loss of its catalytic subunits fosters PCa development. Importantly, despite mTORC1 blockade, the suppression of de novo lipogenesis is the underpinning mechanism responsible for AMPK-mediated PCa growth inhibition, suggesting AMPK as a therapeutic target especially for lipogenesis-driven PCas. Finally, we demonstrate that MT 63–78 enhances the growth inhibitory effect of AR signaling inhibitors MDV3100 and abiraterone. This study thus provides a rationale for their combined use in CRPC treatment.

Metformin impairs glucose consumption and survival in Calu-1 cells by direct inhibition of hexokinase-II

The anti-hyperglycaemic drug metformin has important anticancer properties as shown by the direct inhibition of cancer cells proliferation. Tumor cells avidly use glucose as a source for energy production and cell building blocks. Critical to this phenotype is the production of glucose-6-phosphate (G6P), catalysed by hexokinases (HK) I and II, whose role in glucose retention and metabolism is highly advantageous for cell survival and proliferation. Here we show that metformin impairs the enzymatic function of HKI and II in Calu-1 cells. This inhibition virtually abolishes cell glucose uptake and phosphorylation as documented by the reduced entrapment of ¹⁸F-fluorodeoxyglucose. In-silico models indicate that this action is due to metformin capability to mimic G6P features by steadily binding its pocket in HKII. The impairment of this energy source results in mitochondrial depolarization and subsequent cell death. These results could represent a starting point to open effective strategies in cancer prevention and treatment.

Potential applications for biguanides in oncology

Metformin is widely prescribed for the treatment of type II diabetes. Recently, it has been proposed that this compound or related biguanides may have antineoplastic activity. Biguanides may exploit specific metabolic vulnerabilities of transformed cells by acting on them directly, or may act by indirect mechanisms that involve alterations of the host environment. Preclinical data suggest that drug exposure levels are a key determinant of proposed direct actions. With respect to indirect mechanisms, it will be important to determine whether recently demonstrated metformin-induced changes in levels of candidate systemic mediators such as insulin or inflammatory cytokines are of sufficient magnitude to achieve therapeutic benefit. Results of the first generation of clinical trials now in progress are eagerly anticipated. Ongoing investigations may justify a second generation of trials that explore pharmacokinetic optimization, rational drug combinations, synthetic lethality strategies, novel biguanides, and the use of predictive biomarkers.

A cohort study of metformin exposure and survival in patients with stage I-III colorectal cancer

BACKGROUND

Preclinical evidence suggests a beneficial effect of metformin in colorectal cancer. This study aimed to investigate associations between metformin exposure and colorectal cancer-specific survival using population-level data.

METHODS

Adult patients with stage I-III colorectal cancer diagnosed from 2001 to 2006 were identified from the National Cancer Registry Ireland. Use of metformin and other antidiabetic medications was determined from a linked national prescription claims database. Multivariate Cox regression was used to estimate hazard ratios (HR) with 95% confidence intervals (CI) for associations between prediagnostic metformin exposure (versus nonmetformin antidiabetic drugs) and colorectal cancer-specific mortality. Models were stratified by antidiabetic drug coprescription and intensity of metformin exposure.

RESULTS

The cohort included 207 diabetics who received metformin, 108 diabetics not exposed to metformin, and 3,501 nondiabetic patients. In multivariate analyses, a nonsignificant reduction in colorectal cancer-specific mortality was observed for metformin-exposed patients relative to other treated diabetics (HR, 0.61; 95% CI, 0.37-1.01). In stratified analyses, no significant association was observed for patients receiving low-intensity metformin or metformin in combination with other antidiabetic drugs. High-intensity exclusive metformin use was associated with a significant reduction in colorectal cancer-specific mortality (HR, 0.44; 95% CI, 0.20-0.95).

CONCLUSIONS

Significant associations between metformin exposure and colorectal cancer-specific mortality were observed only for high-intensity exclusive metformin use in the diabetic cohort.

IMPACT

This study provides moderate evidence of an association between metformin exposure and improved colorectal cancer survival in a diabetic population. Additional studies in larger cohorts, with detailed information on diabetes severity, are required to confirm these results.