Abstract
The metabolism of cancer cells is highly plastic. Cancer cells can change their preference for nutrient uptake under nutrient stress. Fructose is one of the most common carbohydrates in diet and its metabolism is also involved in the development and progression of tumors. GLUT5, encoded by SLC2A5, is the specific fructose transporter in mammalian cells. In this study, we found that SLC2A5 is significantly upregulated in lung adenocarcinoma (LUAD) patients and overexpression of SLC2A5 is highly correlated with poor prognosis of LUAD patients. The expression of SLC2A5 determined fructose uptake and utilization efficacy in LUAD cells. GLUT5 is critical for the survival of LUAD cells in fructose-containing culture medium. Depletion of SLC2A5 undermined cell proliferation and invasion meanwhile increased cell apoptosis. Overexpression of SLC2A5 enhances cell proliferation, migration, invasion, and tumorigenic. Compared to glucose, fructose is prone to strengthen intracellular-free fatty acid accumulation and ATP production. Moreover, inhibition of GLUT5 by specific small chemical inhibitor sensitizes LUAD cells to paclitaxel treatment. Taken together, our results suggest that GLUT5 could be a potential target alone or combination with other treatment for lung cancer therapy.
Introduction
Alteration of cellular metabolism is one of the hallmarks of cancer cells1, 2. Mutations of oncogenes and tumor suppressor genes drive somatic cells to tumor cells, which also reprogram the intracellular metabolic pathways to provide building blocks and energy required for rapid cell proliferation or survival in harsh environment. For example, even in the case of sufficient oxygen supply, most cancer cells rely on aerobic glycolysis instead of mitochondrial oxidative phosphorylation to generate the energy needed for cellular processes, a phenomenon termed “Warburg effect”3. Although Warburg effect used to be considered as dominant metabolic feature for cancer cells, it has now become clear that the Warburg effect represents only a fraction of the metabolic rearrangements that accompany malignant transformation4. The metabolic adaptation of tumor cell is highly complex and plastic, not only genetic factors but also the nutrient availability in surrounded environment can promote cancer cells to adjust the activity of different metabolic pathways, utilizing alternative nutrients as sources of carbon and nitrogen for their biological functions5, 6.
Fructose is one of the most common carbohydrates in diet. In the past, humans consume a relatively small amount of fructose from fruits. However, the amount of fructose in people’s diet has increased significantly since the 1970s7. At present, fructose accounts for approximately 5–15% of daily calorie intake8, 9. Fructose is also widely used in elderly and children’s food. In recent years, due to the significant intake of fructose in the daily diet, its impact on many diseases, including cancers, has attracted attention of scientific researches. In addition, fructose metabolism is also involved in the development and progression of tumors10. Abnormal active glycolytic metabolism can lead to a serious shortage of glucose levels in the tumor microenvironment. In this case, how to adjust the metabolism of tumor cells and maintain sufficient carbon uptake to maintain cell proliferation is critical for tumor progression. Studies have shown that acute myeloid leukemia (AML) cells utilize fructose as a substitute to promote cell proliferation in the absence of glucose11. Not only that, the intake of fructose is associated with an increased risk of breast cancer, pancreatic cancer, and small bowel cancer12. Pancreatic cancer cells preferred fructose in its nucleic acid synthesis and fructose can promote pancreatic cancer proliferation. Increased fructose metabolism can promote pancreatic tumor growth by increasing the pentose phosphate pathway flux and protein synthesis10. Studies have suggested that fructose may increase the risk of breast cancer progression and metastasis by inducing the production of lipoxygenase-12 and a related fatty acid 12-HETE in breast cancer cells13. However, relative to glucose metabolism, our knowledge of fructose metabolism in tumor pathology and the underlying mechanism is very limited.
GLUT5 has very low affinity for other carbohydrates such as glucose and galactose, and is a specific fructose transporter14, 15. GLUT5 is encoded by the SLC2A5 gene of the SLC2 family16. The expression of SLC2A5 is elevated in breast cancer cell lines MCF7 and MDA-MB-231, and is associated with higher fructose uptake rate17. Recent studies have shown that the expression of GLUT5 in tumor cells of patients with AML increased and is negatively correlated to the prognosis of patients11. It is noteworthy that knockdown of GLUT5 in breast cancer cells and AML cells can significantly reduce fructose uptake and inhibit tumor cell proliferation11, 12. Our preliminary analysis showed that the expression of SLC2A5 was upregulated in non-small-cell lung cancer (NSCLC) samples compared to normal lung tissue, but the implication of SLC2A5 upregulation in lung cancer was largely unknown.
In this study, we showed that SLC2A5 is significantly upregulated in lung adenocarcinoma patients and overexpression of SLC2A5 is highly correlated with poor patient survival. The expression of SLC2A5 determined fructose uptake in LUAD cells. Functionally, GLUT5 is critical for the survival of LUAD cells in fructose-containing culture medium. Depletion of SLC2A5 impairs cell proliferation and migration, while overexpression of SLC2A5 enhances cell phenotypes in these regards. In addition, inhibition of GLUT5 by specific small chemical inhibitor enhances the sensitivity of LUAD cells to paclitaxel treatment. Our results suggest that fructose uptake could be a potential target for LUAD detection. Blockage of GLUT5 alone or combination with other treatment would be meaningful for lung cancer therapy.
Results
SLC2A5 is overexpressed in NSCLC and its overexpression associates with poor prognosis of lung adenocarcinoma
First of all, we determined SLC2A5 expression level in normal and cancerous lung tissue by bioinformatics analyses. RNA-Seq data from TCGA revealed expression of SLC2A5 was higher in both lung adenocarcinoma and squamous cell carcinoma (SCC) compared to normal lung tissue (Fig. 1a). Microarray data from Oncomine and extracted from GSE31210 also supported SLC2A5 was significantly elevated in lung adenocarcinoma and SCC (Fig. 1b). Furthermore, we detected Glut5 expression in paraffin-embedded tissue sample using GLUT5-specific antibody. Indeed, GLUT5 protein was strongly expressed in lung cancer tissue, while the staining in normal tissue was much weaker (Fig. 1c). Of importance, analysis of correlation between SLC2A5 expression and patient prognosis from microarray database revealed that SLC2A5 overexpression was associated with poor prognosis in lung cancer a whole (p = 0.022) and in lung adenocarcinoma (p = 0.0062) patients, but such association did not exist in lung SCC (p = 0.31) (Fig. 1d).
GLUT5-mediated fructose utilization in lung adenocarcinoma cells
Notwithstanding, SLC2A5 was overexpressed in lung adenocarcinoma and the expression was associated with prognosis, it is uncertain if lung adenocarcinoma cells utilize fructose as alternative nutrient. GLUT5, encoded by the SLC2A5 gene, has been reported to be a highly selective transporter for fructose uptake in various cells. Recently, its function for fructose utilization in AML was studied by Chen and his colleagues. Herein, we tested the effect of fructose as major nutrient on LUAD cell growth. Different LUAD cell lines had diverse sensitivities to glucose deprivation, while in general fructose was an effective alternative nutrient of glucose. In three of the six cell lines we tested, 11.1 mM fructose was less effective to cell proliferation compared with 11.1 mM glucose (Fig. 2a). We hypothesized it was due to the different sensitivity of cells to those two kinds of sugars. To confirm our hypothesis we measured cell proliferation of LUAD cells under various glucose and fructose concentrations. The saturate concentration of glucose and fructose for cell lines differed from each other. As a whole, fructose influenced LUAD cell proliferation in a much wider range than glucose (Fig. 2b). To further demonstrate the relationship between SLC2A5 expression and fructose utilization, we measured mRNA abundance of SLC2A5 in various LUAD cell lines (Fig. 2c) and fructose uptake under conditions of limited glucose or glucose-free medium (Fig. 2d). The correlation of SLC2A5 expression level and fructose uptake was assessed by linear regression. The result indicated fructose uptake was largely determined by the amount of GLUT5 (Fig. 2e). Furthermore, we overexpressed SLC2A5 in A549 cells. Fructose uptake was obviously increased under higher SLC2A5 expression condition (Fig. 2f). Conversely, fructose uptake was dramatically inhibited when GLUT5 was depleted by lentivirus-mediated shRNA (Fig. 2g).
GLUT5 is required for the survival of LUAD cells in fructose-containing medium
To study the role of GLUT5-mediated fructose utilization in cancer cell survival, we depleted SLC2A5 expression by shRNAs. The effect of shRNA-mediated knockdown was examined by real-time PCR and western blot (Fig. 3a). Cells were cultured in media containing 25 mM fructose for 4 days and the proliferation index was counted. Lack of SLC2A5 significantly affected cell proliferation in fructose-containing medium (Fig. 3b). Cells were stained by PI and FITC-Annexin-V and the apoptosis was detected by flow cytometry. SLC2A5 depletion induced apoptosis prominently (Fig. 3c). Moreover, knockdown of SLC2A5 reduced the ability of cell invasion revealed by transwell assay (Fig. 3d).
Ectopic expression of SLC2A5 exacerbated LUAD cell phenotype in medium containing fructose
According to our previous data, SLC2A5 overexpression promoted fructose uptake in LUAD cells, while the physiological effect was unclear. Therefore, we determined cell proliferation in SLC2A5 overexpressed A549 and H1299 cells in medium containing glucose or fructose. Two transcripts of SLC2A5 were cloned in lentiviral construct and stably expressed in A549 and H1299 cells (Fig. 4a). Ectopic expression of SLC2A5 remarkably promoted cell proliferation in fructose-containing medium rather than medium containing glucose, indicating high specificity of SLC2A5 for fructose uptake and utilization (Fig. 4b). Scratch assay showed that SLC2A5 enhanced migration of A549 and H1299 cells (Fig. 4c). The invasion ability was also increased in SLC2A5 overexpressed cells (Fig. 4d). Furthermore, the tumorigenic ability of A549 and H1299 cells was significantly enhanced by SLC2A5 overexpression (Fig. 4e). Taken together, ectopic expression of SLC2A5 exacerbated LUAD cell phenotype under fructose-containing culture condition.
Metabolic differentiation between glucose and fructose
Both glucose and fructose supported LUAD cell growth with different efficacy. To further demonstrate metabolic differentiation between glucose and fructose, we cultured LUAD cells in medium containing 25 mM glucose or fructose. The examination of FFA and NADPH revealed that fructose metabolism facilitated intracellular FFA accumulation while decreased NADPH consumption. Fructose induced more ATP and less lactate production compared to glucose in both A549 and H1299 cells (Fig. 5).
Pharmacological blockage of fructose utilization potentiates efficacy of paclitaxel treatment
To determine the role of GLUT5 in current lung cancer therapy, we combined the inhibition of GLUT5 activity and chemotherapeutic treatment in LUAD cells. Inhibition of GLUT5 activity was achieved by 2,5-anhydro-D-mannitol (2,5-AM), a fructose analog with high affinity for GLUT5. GLUT5 inhibition significantly decreased cell viability of LUAD cells cultured in fructose-containing medium with little or no influence on cells under glucose culture condition (Fig. 6a). Next, we treated A549 and H1299 cells with a combination of commonly used chemotherapeutic drugs, paclitaxel and cisplatin. The efficacy was better in both cell lines when 2,5-AM was combined to paclitaxel, comparing to single drug treatment (Fig. 6b, Fig. S1). However, no synergistic effect was observed within the combination of 2,5-AM and cisplatin (Fig. 6c).
Regulation of SLC2A5 expression in LUAD
The expression of SLC2A5 is reported to be regulated by many factors such as substrate level, tumor hypoxia, oncogene, inflammatory factor TNF-α, and hormone levels (insulin, thyroxine, etc.) in other tumors, but its modulation in lung cancer remain unknown. We tried to explore whether the status of oncogene was associated with SLC2A5 expression. The samples from GSE31210 dataset were classified by EGFR, ALK, or KRAS status and the expression level of SLC2A5 was analyzed. SLC2A5 expression was significantly higher in tumor samples compared to normal tissues despite the status of EGFR, ALK, or KRAS. However, only EGFR status seemed to affect the abundance of SLC2A5, which was reduced in EGFR-mutated tumor samples (Fig. 7a). To confirm the relation between EGFR activation and SLC2A5 expression, we mimicked the situation by ectopic expression of EGFR in LUAD cells. No significant change of SLC2A5 expression was observed when different activities of EGFR were introduced into H1975 and H1299 cells (Fig. 7b). We also examined if fructose, the substrate of GLUT5, could influence the expression of SLC2A5. Likewise, we could not see any significant effect of fructose or glucose on SLC2A5 expression in A549 cells (Fig. 7c).
Discussion
Lung cancer results in the world’s highest incidence of morbidity and mortality in cancer. More than 85% of those cases are currently classified as NSCLC. The predicted 5-year survival rate of NSCLC is only 15.9%18. Nonetheless, the figure has only marginally improved during the past few decades. NSCLC is currently defined by pathological characteristics. The two predominant NSCLC histological phenotypes are adenocarcinoma (LUAD; ~50%) and SCC (~40%). In general, LUAD arise in more distal airways, whereas SCC arise in more proximal airways and are more strongly associated with smoking and chronic inflammation than LUAD18, 19. In our study, SLC2A5 is overexpressed in both LUAD and SCC, but the effect seems not identical. In terms of overall survival, only adenocarcinoma is significantly associated with the expression levels of SLC2A5, implying that metabolism of cancer cell is complicated and its dependency on a specific nutrient is likely influenced by cell origin and oncogenic drivers. Not only different cell types of NSCLC cells, the sensitivity on fructose varies a lot even among LUAD cells. On the one hand, the same fructose concentration has different effects on accelerating cell growth (Fig. 2a). On the other hand, the saturated fructose concentration, which maximizes its growth effect, varies widely among cells (Fig. 2b). This might be a reflection of variation of GLUT5 abundance in different LUAD cell types, which largely determined the efficacy of uptake and utilization of fructose.
Unlike glucose, LUAD cells tend to utilize fructose for the synthesis of FFAs and ATP (Fig. 5). The observation that intracellular NADPH in fructose containing medium is lower than in glucose medium is likely due to the consumption of NADPH for enhanced fatty acid synthesis. Similarly, the reduction of fructose-induced lactate production by LUAD cells is probably due to more ATP produced by mitochondrial oxidation after the cells take up fructose, resulting in a decrease in pyruvate that could be converted to lactate.
Cisplatin and paclitaxel are two kinds of the most important drugs for chemotherapy of lung adenocarcinoma20. The action mechanism of cisplatin and paclitaxel are totally distinct. Cisplatin interferes with DNA replication to kill fast proliferating cells21. Paclitaxel stabilizes the microtubule polymer and protects it from disassembly, which impairs mitotic spindle assembly, chromosome segregation, and cell division22. The metabolic effect of fructose on the physiology of cancer cells is comprehensive. Therefore, inhibition of fructose utilization might affect a bunch of crucial physiological nodes of cells, which finally determine the cellular phenotypes. The difference in synergistic effect of GLUT5 inhibitor between combination with cisplatin and paclitaxel could reflect the extent of overlapping in their intracellular action sites with GLUT5 inhibitor. However, the intrinsic mechanism still needs further study and may lead to novel drug regimen for lung cancer treatment in future.
So far, there have been several studies reported that the expression of SLC2A5 is regulated by glucocorticoid, insulin, and its substrate fructose. Glucocorticoid hormone dexamethasone was suggested to induce nuclear translocation of glucocorticoid receptor and methylation of histone H3 at K4 and acetylation of histones H3 and H4 to promote Slc2A5 gene expression23, 24. Insulin is capable of increasing the abundance of GLUT5 in L6 skeletal muscle cells via activation of the Slc2A5 promoter25. In addition, fructose could modulate GLUT5 mRNA stability in differentiated Caco-2 cells by the cAMP pathway and Paip2 (PABP-interacting protein 2) binding26. Introducing fructose into the lumen increased nuclear RNA, mRNA, protein, and activity levels of Glut5 in adult wild-type mice consuming chow27. Nonetheless, the regulation of SLC2A5 in lung cancer is still unknown. Our results showed that neither the commonest tumor-driver genes nor fructose significantly influenced SLC2A5 expression in lung adenocarcinoma. Identification of factors controlling the expression of GLUT5 expression and activity in lung cancer is an open question and worth further study.
Materials and methods
Reagents
Fructose analog 2,5-Anhydro-D-mannitol (2,5-AM, #41107-82-8) was purchased from Cayman (St. Louis, MO, USA). Cisplatin was from Sigma-Aldrich (#SP600125, St. Louis, MO, USA). Paclitaxel was ordered from Sangon Biotech Co., Ltd. (#A601183-0100, Shanghai, China). GLUT5 antibody was generated by Yingji Bio (Shanghai, China).
Patients and specimens
The tumor samples were from patients who did not receive any preoperative cancer treatment. The samples were collected from these patients after obtaining informed consent according to an established protocol approved by the Ethics Committee of Quzhou People’s Hospital.
Cell lines
HEK293T lentiviral packaging cell was from Dr. Xiaolin Wu’s lab. Human bronchial epithelial cell BEAS-2B and all NSCLC cell lines PC-9, H1299, A549, HCC-827, H1975 were obtained from American Type Culture Collection (Manassas, VA) and were cultured in Dulbecco’s Modified Eagle Medium (DMEM, Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (FBS, Gibco, Thermo Fisher Scientific). All cell lines were grown at 37 °C in a humidified incubator with 5% CO2.
Plasmids
The control firefly luciferase shRNA (shLuc) was a kind gift from Dr. Guangwei Du. The oligos of SLC2A5-specific shRNAs (shSLC2A5#1 and shSLC2A5#2) were synthesized in Genewiz (Suzhou, China) and cloned in pLKO.1 lentiviral vector. The target sequences for shLuc, shSLC2A5#1, and shSLC2A5#2 are listed in Table 1. For ectopic expression of SLC2A5 in LUAD cells, two SLC2A5 variant transcripts were cloned and constructed into pCDH-CMV-MCS-EF1-puro lentiviral vector. The primers for SLC2A5 cloning are listed in Table 1. Wild-type EGFR was cloned into pCDH-CMV-MCS-EF1-puro lentiviral vector by primers listed in Table 1. The plasmids for mutated EGFR expression were ordered from Addgene (#11012 and #32070) and subcloned to pCDH-CMV-MCS-EF1-puro vector.
Table 1.
Oligonucleotides | Sequences (5′ to 3′) |
---|---|
SLC2A5-forward | ACGTTGCTGTGGTCTGTAACC |
SLC2A5-reverse | CATTAAGATCGCAGGCACGATA |
β-actin-forward | AGAGCTACGAGCTGCCTGAC |
β-actin-reverse | AGCACTGTGTTGGCGTACAG |
shLuc | GATTTCGAGTCGTCTTAAT |
shSLC2A5#1 | GCACTGCTCATGCAACAATTT |
shSLC2A5#2 | CGCCACATCATTTGAGCTTAT |
SLC2A5-TV2-forward | ATGGAGCAACAGGATCAGAGC |
SLC2A5-TV2-reverse | CTATGTTGGCTCGGGACAGGA |
SLC2A5-TV5-forward | ATGTACTTAGGGGAGCTG |
SLC2A5-TV5- reverse | CTGTTCCGAAGTGACAG |
EGFR-WT-forward | ATGCGACCCTCCGGGAC |
EGFR-WT-reverse | TCATGCTCCAATAAAT |
Cell proliferation and viability analysis
Cells were seeded in five replicates of wells in a 96-well plate, and the relative cell numbers were counted every day by CCK-8 (#40203ES60, Qcbio Science & Technologies Co., Ltd., Shanghai, China) over 3 days. For viability measurement, cells were trypsinized, stained with trypan blue solution. Trypan blue-negative viable cells and positive dead cells were counted under a light microscopy.
Cell migration and cell invasion assays
For cell migration assays, cells were plated into 6-well plates and cultured at 37 °C and 5% CO2 for 1 or 2 days to permit cell adhesion and the formation of a confluent monolayer. Then a 200 μL tip was used to introduce scratches with equal widths. The cell surface was then washed with serum-free culture medium for three times to remove dislodged cells. Wound closure at 0, 12, and 24 h after scratching were recorded. We chose three random sites to calculate the mean and standard deviation. Images were collected at 0 and 24 h. For cell invasion assays, transwells (24-well) coated with Matrigel (8-μm pore size; BD Biosciences, San Jose, CA, USA) were used. Cells were serum-starved overnight. After pre-incubating the transwell insert for 1 h with serum-free media at room temperature, a total of 2 × 104 cells were then resuspended in 100 μL DMEM containing 1% FBS and added to the upper chamber, while 600 μL DMEM with 10% FBS was added to the lower chamber as a chemoattractant. Cell migration was determined from triplicates for each treatment according to the manufacturer’s protocol.
Colony formation assay
Cells were plated in 6-well plates covered by soft agar at a density of 2500 cells per well and cultured for 14 days to allow colony formation, the medium was replaced with fresh medium every 3 days. After 2 weeks, the medium was removed and cell colonies were stained with crystal violet (0.1% in 20% methanol) for 15 min. Colonies were photographed, and the number of colonies was counted using ImageJ (National Institutes of Health, Bethesda, MD, USA) from three independent experiments.
Real-time PCR
Total RNA was extraction from cells by Trizol Reagent (#DP424, Tiangen Biotech Co. Ltd., Beijing, China) according to the manufacturer’s protocol, and reverse-transcribed using Maxima Reverse Transcriptases (#EP0751, Thermo Fisher Scientific). Real-time PCR was performed in triplicate using SGExcel FastSYBR Mixture (#B532955-0005, Sangon Biotech Co., Ltd., Shanghai, China) on Roche LightCyclerR 480 Quantitative PCR System (Indianapolis, IN, USA). Primers are listed in Table 1. Relative expression levels was normalized to β-actin and calculated by 2-ΔΔct method. Each experiment was performed independently at least three times.
Flow cytometry analysis of apoptosis
Cells were transduced with lentiviruses carrying control shLuc, shSLC2A5#1, or shSLC2A5#2 twice and harvested by trypsin digestion 2 days after infection with lentiviruses. Cells were washed with ice-cold phosphate-buffered saline and then re-suspended in 400 μL Annexin V binding buffer. 5 μL Annexin V-FITC (#40302ES50, Qcbio Science & Technologies Co., Ltd., Shanghai, China) and 10 μL propidium iodide (PI) were added and incubated for 15 min. Apoptotic cells were analyzed by BD flow cytometer (BD Biosciences, San Jose, CA). For each sample, at least 10,000 cells were collected. Data was analyzed by FlowJo software (FLOWJO, Ashland, OR). Cells without staining or stained with Annexin V-FITC or PI only were used as compensation controls.
Lentivirus production and transduction
The modification of targeted gene expression was mediated by lentivirus. Viruses were generated in 293T cells. To produce viruses, plasmids including the lentiviral vector containing shRNAs or cDNA fragements, pCMVR8.74, and pMD2.G were co-transfected into 293T cells using Lipofectamine Plus reagent (Thermo Fisher Scientific) according to manufacturer’s instruction. At 24 and 48 h post-transfection, virus-containing supernatants were collected and centrifuged at 3000 × g for 5 min to remove suspended target cells. The supernatants were mixed with polybrene at final working concentration of 10 μg/mL for infection. Medium containing virus was replaced with fresh growth medium 6 h after transduction. Cells were then selected with 2 μg/mL puromycin for 2 days. The expression of targeted genes was examined by real-time PCR.
Free fatty acid (FFA) quantification
Aliquots of 106 cell equivalents were extracted by homogenization with 200 μL of chloroform-Triton X-100 solution (1% Triton X-100 in chloroform) in a microhomogenizer and centrifuged at 16,000 × g for 10 min. Liquid of organic phase (lower phase) was collect and air dried at 50 °C to remove chloroform. Then the remainder was further dried by vacuum dryer for 30 min to extirpate chloroform. The concentration of FFA was measured by a commercial kit (#K612, BioVision), using the colormetric assay (OD 570 nm) and standardized to 106 cells. The data from three independent experiments were included.
NADPH determination
The NADPH/NADP ratio was determination using the NADP/NADPH assay kit (#K347, BioVision) according to the manufacturer’s instructions. Briefly, 4 × 106 cells were extracted in 800 µL of the NADP/NADPH extraction buffer. Samples were aliquoted. 50 µL sample was transferred into 96-well plate and heated at 60 °C for 30 min to compose NADP. Then 100 μL of the NADP Cycling Mix (buffer + enzyme) was added. For total NADP/NADPH detection, the mixture was incubated at room temperature for 5 min to convert NADP to NADPH. Afterward, 10 µL NADPH developer was mixed and incubated in the dark for 2 h. Then the plate was read at OD450 nm, and the data was normalized to nmol/106 cells using a standard curve.
Lactate measurement
2 × 105 cells were cultured in 6-well plate in medium containing 25 mM glucose or fructose for 48 h. The culture media was collected and centrifuged at maximum speed to remove any cell debris. Lactate content in the supernatant was analyzed in the department of clinical laboratory in our hospital.
ATP measurement
ATP level was measured by ATP Determination Kit (Molecular Probes) according to the manufacturer’s instruction. Briefly, A549 and H1299 cells were cultured in 6-well plates under glucose or fructose-containing medium for 24 h. Cells were harvested and lysed by adding 150 µL of lysis buffer NET (20 mM Tris, 100 mM NaCl, 1 mM EDTA) with 0.5% Triton-X 100 per 106 cells and kept on ice for 10 min. Cell lysates were centrifuged at 16,000 × g for 10 min. Supernatants were collected. The standard reaction solution was prepared according to manufacturer’s instruction. 5 µL of cell lysate for each sample was mixed with 100 µL ATP standard solutions. The ATP level was determined by measuring firefly luciferase luminescence and normalized to the number of 106 cells.
Measurement of 13C-labeled fructose uptake
To assess the fructose uptake, cells were cultured in glucose-free DMEM or DMEM containing 0.5 mM glucose supplemented with 10% FBS and 15 mM 13C-fructose (Cambridge Isotope Laboratories). After incubation for 72 h, cells were collected and 13C-fructose uptake was analyzed by GC-MS assays performed in Shanghai Biomedical Laboratory.
Bioinformatic analysis
The expression of SLC2A5 in lung cancer was analyzed by the Broad Firehose database (http://firebrowse.org/) and Oncomine (www.oncomine.org). We evaluated the correlation of SLC2A5 expression levels to patient survival in lung cancer using the Kmplotter (kmplot.com/analysis). Patients were split by median SLC2A5 expression, and analysis was performed the lung dataset irrespective of grade, stage, or prior treatment regimen.
Statistical analyses
SPSS 21.0 (SPSS, Inc., Chicago, IL, USA) was used for all statistical analyses. Significant differences between groups were determined using the Student’s t-test. Values are presented as the mean ± standard deviation. Differences were considered to be statistically significant at p < 0.05 and highly significant at p < 0.01.
Electronic supplementary material
Acknowledgements
This study was supported by grants from the National Natural Science Foundation of China (81502304), Natural Science Foundation of Zhejiang Province (LQ18H160001), Science and Technology Projects of Quzhou City (2016069).
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Edited by A Rufini
Supplementary Information
Supplementary Information accompanies this paper at (10.1038/s41420-018-0038-5)
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Contributor Information
Jin Zhu, Email: qzhosp@163.com.
Feng Zhang, Email: felix.f.zhang@outlook.com.
References
- 1.Tennant DA, Duran RV, Gottlieb E. Targeting metabolic transformation for cancer therapy. Nat. Rev. Cancer. 2010;10:267–277. doi: 10.1038/nrc2817. [DOI] [PubMed] [Google Scholar]
- 2.Cairns RA, Harris IS, Mak TW. Regulation of cancer cell metabolism. Nat. Rev. Cancer. 2011;11:85–95. doi: 10.1038/nrc2981. [DOI] [PubMed] [Google Scholar]
- 3.Warburg O. On the origin of cancer cells. Science. 1956;123:309–314. doi: 10.1126/science.123.3191.309. [DOI] [PubMed] [Google Scholar]
- 4.Hsu PP, Sabatini DM. Cancer cell metabolism: Warburg and beyond. Cell. 2008;134:703–707. doi: 10.1016/j.cell.2008.08.021. [DOI] [PubMed] [Google Scholar]
- 5.Dasgupta S, et al. Coactivator SRC-2-dependent metabolic reprogramming mediates prostate cancer survival and metastasis. J. Clin. Invest. 2015;125:1174–1188. doi: 10.1172/JCI76029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Xie J, et al. Beyond Warburg effect—dual metabolic nature of cancer cells. Sci. Rep. 2014;4:4927. doi: 10.1038/srep04927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vos MB, Kimmons JE, Gillespie C, Welsh J, Blanck HM. Dietary fructose consumption among US children and adults: the Third National Health and Nutrition Examination Survey. Medscape. J. Med. 2008;10:160. [PMC free article] [PubMed] [Google Scholar]
- 8.Elliott SS, Keim NL, Stern JS, Teff K, Havel PJ. Fructose, weight gain, and the insulin resistance syndrome. Am. J. Clin. Nutr. 2002;76:911–922. doi: 10.1093/ajcn/76.5.911. [DOI] [PubMed] [Google Scholar]
- 9.Abdelmalek MF, et al. Higher dietary fructose is associated with impaired hepatic adenosine triphosphate homeostasis in obese individuals with type 2 diabetes. Hepatology. 2012;56:952–960. doi: 10.1002/hep.25741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Liu H, et al. Fructose induces transketolase flux to promote pancreatic cancer growth. Cancer Res. 2010;70:6368–6376. doi: 10.1158/0008-5472.CAN-09-4615. [DOI] [PubMed] [Google Scholar]
- 11.Chen WL, et al. Enhanced fructose utilization mediated by SLC2A5 is a unique metabolic feature of acute myeloid leukemia with therapeutic potential. Cancer Cell. 2016;30:779–791. doi: 10.1016/j.ccell.2016.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Monzavi-Karbassi B, et al. Fructose as a carbon source induces an aggressive phenotype in MDA-MB-468 breast tumor cells. Int. J. Oncol. 2010;37:615–622. doi: 10.3892/ijo_00000710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Jiang Y, et al. A sucrose-enriched diet promotes tumorigenesis in mammary gland in part through the 12-lipoxygenase pathway. Cancer Res. 2016;76:24–29. doi: 10.1158/0008-5472.CAN-14-3432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Burant CF, Takeda J, Brot-Laroche E, Bell GI, Davidson NO. Fructose transporter in human spermatozoa and small intestine is GLUT5. J. Biol. Chem. 1992;267:14523–14526. [PubMed] [Google Scholar]
- 15.Thorens B, Mueckler M. Glucose transporters in the 21st century. Am. J. Physiol. Endocrinol. Metab. 2010;298:E141–E145. doi: 10.1152/ajpendo.00712.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Uldry M, Thorens B. The SLC2 family of facilitated hexose and polyol transporters. Pflug. Arch. 2004;447:480–489. doi: 10.1007/s00424-003-1085-0. [DOI] [PubMed] [Google Scholar]
- 17.Zamora-Leon SP, et al. Expression of the fructose transporter GLUT5 in human breast cancer. Proc. Natl Acad. Sci. USA. 1996;93:1847–1852. doi: 10.1073/pnas.93.5.1847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Chen Z, Fillmore CM, Hammerman PS, Kim CF, Wong KK. Non-small-cell lung cancers: a heterogeneous set of diseases. Nat. Rev. Cancer. 2014;14:535–546. doi: 10.1038/nrc3775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Davidson MR, Gazdar AF, Clarke BE. The pivotal role of pathology in the management of lung cancer. J. Thorac. Dis. 2013;5:S463–S478. doi: 10.3978/j.issn.2072-1439.2013.08.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Johnson DH, Schiller JH, Bunn PA., Jr. Recent clinical advances in lung cancer management. J. Clin. Oncol. 2014;32:973–982. doi: 10.1200/JCO.2013.53.1228. [DOI] [PubMed] [Google Scholar]
- 21.Dasari S, Tchounwou PB. Cisplatin in cancer therapy: molecular mechanisms of action. Eur. J. Pharmacol. 2014;740:364–378. doi: 10.1016/j.ejphar.2014.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Weaver BA. How Taxol/paclitaxel kills cancer cells. Mol. Biol. Cell. 2014;25:2677–2681. doi: 10.1091/mbc.E14-04-0916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Inamochi Y, et al. Histone H3 methylation at lysine 4 on the SLC2A5 gene in intestinal Caco-2 cells is involved in SLC2A5 expression. Biochem. Biophys. Res. Commun. 2010;392:16–21. doi: 10.1016/j.bbrc.2009.12.136. [DOI] [PubMed] [Google Scholar]
- 24.Douard V, Choi HI, Elshenawy S, Lagunoff D, Ferraris RP. Developmental reprogramming of rat GLUT5 requires glucocorticoid receptor translocation to the nucleus. J. Physiol. 2008;586:3657–3673. doi: 10.1113/jphysiol.2008.155226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hajduch E, Litherland GJ, Turban S, Brot-Laroche E, Hundal HS. Insulin regulates the expression of the GLUT5 transporter in L6 skeletal muscle cells. FEBS Lett. 2003;549:77–82. doi: 10.1016/S0014-5793(03)00773-7. [DOI] [PubMed] [Google Scholar]
- 26.Gouyon F, et al. Fructose modulates GLUT5 mRNA stability in differentiated Caco-2 cells: role of cAMP-signalling pathway and PABP (polyadenylated-binding protein)-interacting protein (Paip) 2. Biochem. J. 2003;375:167–174. doi: 10.1042/bj20030661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Patel C, Douard V, Yu S, Gao N, Ferraris RP. Transport, metabolism, and endosomal trafficking-dependent regulation of intestinal fructose absorption. FASEB J. 2015;29:4046–4058. doi: 10.1096/fj.15-272195. [DOI] [PMC free article] [PubMed] [Google Scholar]
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