cells

Article Transporter 3 Is Essential for the Survival of Breast Cancer Cells in the Brain

Min-Hsun Kuo 1,2, Wen-Wei Chang 3 , Bi-Wen Yeh 4,5, Yeh-Shiu Chu 6 , Yueh-Chun Lee 7 and Hsueh-Te Lee 1,2,6,8,*

1 Taiwan International Graduate Program in Molecular Medicine, National Yang-Ming University and Academia Sinica, Taipei 11529, Taiwan; [email protected] 2 Institute of Anatomy & Cell Biology, National Yang-Ming University, Taipei 11202, Taiwan 3 School of Biomedical Sciences, Chung Shan Medical University, Taichung 40201, Taiwan; [email protected] 4 Department of Urology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; [email protected] 5 Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan 6 Brain Research Center, National Yang-Ming University, Taipei 11202, Taiwan; [email protected] 7 Department of Radiation Oncology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan; [email protected] 8 Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Yang-Ming University and Academia Sinica, Taipei 11529, Taiwan * Correspondence: [email protected]; Tel.: +886-2-28267073; Fax: +886-2-2821-2884

 Received: 15 October 2019; Accepted: 2 December 2019; Published: 4 December 2019 

Abstract: Breast cancer brain metastasis commonly occurs in one-fourth of breast cancer patients and is associated with poor prognosis. Abnormal glucose metabolism is found to promote cancer metastasis. Moreover, the tumor microenvironment is crucial and plays an active role in the metabolic adaptations and survival of cancer cells. Glucose transporters are overexpressed in cancer cells to increase glucose uptake. The 3 (GLUT3) is a high-affinity glucose transporter that is highly expressed in mammalian . GLUT3 is also overexpressed in several malignant brain tumors. However, the role of GLUT3 in breast cancer brain metastasis remains unknown. The results of the present study demonstrated that GLUT3 is highly overexpressed in brain metastatic breast cancers and mediates glucose metabolic reprogramming. Furthermore, knockdown of cAMP-response element binding (CREB) could directly regulate GLUT3 expression in brain metastatic breast cancer cells. Notably, we verified and provided a novel role of GLUT3 in mediating glucose metabolism and assisting breast cancer cells to survive in the brain to promote brain metastasis.

Keywords: GLUT3; breast cancer brain metastases; CREB

1. Introduction The tumor microenvironment is important for cancer cell survival and tumor progression [1]. As different microenvironments have various effects on tumor metastasis, cancer cells tend to have different patterns of expression to adapt to differing conditions when metastasis occurs [2–4]. Phenotypic plasticity could manifest after the occurrence of metastasis and could indicate the development of cancer cells at proximal or distal metastatic sites [5,6]. However, it remains unclear how the microenvironment can trigger tumor cell metastasis to specific organs. Cellular energy metabolism is a potent factor in the tumor microenvironment [7]. Moreover, aberrant energy metabolism has been recognized as a hallmark of cancer [8]. Several studies

Cells 2019, 8, 1568; doi:10.3390/cells8121568 www.mdpi.com/journal/cells Cells 2019, 8, 1568 2 of 14 have demonstrated that glucose transporters are upregulated when glucose metabolism is dysregulated. However, only a limited number of studies evaluated the effects of specific glucose transporters on the regulation of glucose metabolism. Hence, it is crucial to understand the potential response and metabolic interactions between metastatic cancer cells and the brain microenvironment. According to previous investigations, glucose uptake in cells is mainly facilitated by the 14 members of the functional glucose transporter (GLUT) family (glucose transporter 1 (GLUT1) to glucose transporter 14 (GLUT14)). Furthermore, glucose transporters are expressed in a tissue-specific manner: GLUT1 is expressed in all tissues, glucose transporter 2 (GLUT2) in the liver, and GLUT3 in the brain [9,10]. Overexpression of glucose transporters not only increases glucose uptake by cancer cells but also acts a hallmark of tumorigenesis. Previous studies have reported that GLUT1 is overexpressed in several types of cancer, such as breast and lung cancer. Overexpression of glucose transporters not only promotes glucose metabolism but also enhances other tumorigenesis features, like immune escape [11,12]. GLUT3 is highly expressed during brain cancer tumorigenesis due to the lack of nutrients in the brain [13,14]. Moreover, despite the effects on glucose uptake, GLUT3 upregulation enhances the ability of primary brain cancer cells to resist certain chemotherapy drugs that could inhibit cancer cell angiogenesis [15]. Extracellular stimulation can cause long-lasting effects, including the promotion of cell survival or death, by triggering serial signaling cascades that ultimately converge on nuclear transcription factors [16]. One transcription factor, cAMP-response element binding protein (CREB), has a crucial role in brain development and plays a critical role in brain cancer tumorigenesis [16,17]. Furthermore, the expression of CREB is involved in several signaling pathways during tumorigenesis, such as regulation of the phosphoinositide 3-kinase (PI3k) and mitogen-activated protein kinase (MAPK) pathways, which are thought to be critical in tumor energy metabolic reprogramming [18,19]. In glioblastomas, CREB was found to regulate the growth of cancer cells via transcriptional control of miRNA-23a and Neurofibromatosis type I (Nf-1) [20,21]. In the brain, CREB is important for development and survival [22,23]. Importantly, several studies have revealed that CREB plays a crucial role in the promotion of neuronal survival and adaptation in response to environmental stress and the regulation of brain responses to calorie restriction. GLUT3, the glucose transporter that is widely used by neurons, can be transcriptionally induced by CREB [24]. Based on these important clues, firstly, we aimed to determine whether GLUT3 is important for breast cancer cell survival and adaptation in the brain microenvironment and whether GLUT3 mediates cancer metabolic reprogramming. Secondly, we aimed to investigate whether the expression of GLUT3 and CREB plays a fundamental role in the promotion of breast cancer brain metastasis.

2. Materials and Methods

2.1. Cell Lines and Cell Culture MDA-MB-231 and BT474 cells were obtained from American Type Culture Collection. The cells were seeded at a density of 2 105 cells/well and then cultured in Dulbecco’s modified eagle × medium (Corning Inc., New York, NY, USA) supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin in a 37 ◦C incubator with a humidified atmosphere of 5% CO2/95% air. MDA-MB-231BR and BT474 BR cells were isolated from the brain tissue of female athymic BALB/c nude mice that received intracardial injections of WT cells as described before [25].

2.2. Animals and Breast Cancer Cell Brain Metastasis Model Pathogen-free female athymic BALB/c nude mice were purchased from the Animal Production Area of the National Cancer Institute, Frederick Cancer Research Facility (Frederick, MD, USA). The mice were kept in facilities approved by the Association for Assessment and Accreditation of Laboratory Animal Care in accordance with the current regulations and standards of the Animal Center of National Yang-Ming University. Six-week-old mice were injected with 5 105 MDA-MB-231 × Cells 2019, 8, 1568 3 of 14 and BT474 cells in the heart’s left ventricle. BR cells were collected from brain tissues as described before [25].

2.3. Cell Viability Assay Cell survival was analyzed by performing an MTT assay using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT). Briefly, MTT was added to a final concentration of 50 µg/mL and incubated at 37 ◦C with a humidified atmosphere of 5% CO2/95% air for 4 h. After incubation, the medium was carefully aspirated to avoid the removal of formazan. Approximately 50 µL/mL of DMSO was added to each well and mixed thoroughly by pipetting. After 10 min of solubilization in the culture incubator, the sample was mixed, and absorbance was read at 540 nm using multimode microplate readers (Infinite 200, TECAN, Tecan Trading AG, Switzerland).

2.4. Western Blotting A total of 50 µg of cell lysate were resolved using 10% sodium dodecyl sulfate–polyacrylamide gel electrophoresis and blotted electrophoretically to polyvinylidene fluoride membranes. The membranes were then incubated with primary antibodies, and immunoreactivity was detected using horseradish-conjugated secondary antibody and visualized using enhanced chemiluminescence. The following primary antibodies were used: Rabbit anti-GLUT1 (1:500 Santa Cruz, CA, USA), mouse and rabbit anti-GLUT3 (1:500 Santa Cruz, 1:1000 Abcam), rabbit anti-pCREB (1:1000 Abcam), rabbit anti-CREB (1:1000 Abcam), rabbit anti-N-cadherin (1:1000 Abcam), rabbit anti-E-cadherin (1:500 Santa Cruz), mouse anti-HK2 (1:500 Santa Cruz), mouse anti-Ki-67 (1:500 Santa Cruz), and mouse anti-β-actin (1:1000, Abcam). Secondary antibodies (a donkey anti-goat IgG antibody (1:10,000, Jackson lab, PA, USA), a goat anti-mouse IgG antibody (1:10,000, Jackson lab), and a goat anti-rabbit IgG antibody (1:10,000, Jackson lab)) were coupled to horseradish peroxidase (HRP) for 1 h at room temperature.

2.5. Immunochemistry The human tissue array and mouse brain slides were evaluated by immunochemistry through Dako kits (Dako EnVisionTM+ Dual Link System-HRP, Agilent, CA, USA). The procedure was conducted following the manufacturer’s instruction. All antibodies were incubated with samples at 4 ◦C overnight followed by the HRP incubation for 1 h at room temperature. After the staining, the slides were imaged and analyzed to observe the GLUT3 expression.

2.6. Production of Stably Transfected Cell Lines The GLUT3 and CREB knockdown plasmid (clone ID: TRCN0000043616 for GLUT3 and clone ID: TRCN0000226467 and TRCN0000020343 for CREB) was purchased from RNAi Core Lab (Academia Sinica, Taiwan). In brief, before cell transfection, the plasmid and transfection reagent were gently mixed and incubated for 20 min at room temperature. The plasmid and transfection reagent mixture were added to the cells in a dropwise manner followed by incubation of cells for 72 h. The transfected cell was grown in a medium containing 2 µg/mL puromycin for selection. Twenty-one days after selection, the transfected cells were collected and analyzed for protein expression. After protein expression verification, the cells were expanded for experimental use.

2.7. Glucose Uptake Ability Assay 2-(N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl) amino)-2-deoxyglucose) (2-NBDG) was used to examine the glucose uptake. Cells were seeded at a density of 2 105 per well in 35-mm wells and allowed × to attach over 24 h. The culture medium was then replaced with a fresh medium with 2-NBDG 24 h after seeding and imaged under a fluorescent microscope with excitation and emission wavelengths Cells 2019, 8, 1568 4 of 14 of 488 and 540 nm, respectively, to determine the optical density. In the drug treatment experiment, 2-NBDG was added to the sample 1 h after ascorbic acid treatment. After 24 h, the cells were imaged under a fluorescent microscope or measured by a microplate reader with excitation and emission wavelengths of 465 and 540 nm, respectively.

2.8. Lactate Detection Assay For lactate detection, the lactate assay kit (BioVision, Inc., Milpitas, CA, USA) was used. At day 1, the cells were seeded as above, 24 h after seeding. The culture medium was replaced with DMEM medium without FBS and incubated for 24 h. The medium was renewed and centrifuged at 1000 rpm for 10 min, and the supernatant used to detect lactate dehydrogenase activity according to the manufacturer’s instructions. At first, 50-µL test samples with lactate assay buffer were prepared in a 96-well plate. The reaction mix contained 46 µL of lactate assay buffer, 2 µL of probe, and 2 µL of the enzyme mix. The solution was mixed well before use. Approximately 50 µL of the reaction mix were added to each well containing the test samples; the solution was mixed well and incubated for 30 min while protected from the light. Fluorescence (ex/em = 535/590 nm) was measured using a microplate reader.

2.9. Cell Migration and Invasion Assay Cell migration and invasion assay were conducted using transwell and transwell matrix-coated chambers with 8-µm pore-size membranes. Before the experiment, the matrix-coated transwells were stored in the incubator at a temperature of 37 ◦C overnight. Then, the transwells with fresh DMEM medium (without FBS) were placed in the cell incubator for 2 h. After 2 h, the cells were seeded in the transwell membrane at a density of 2.5 104 per well and subsequently starved in culture medium × without FBS both inside and outside the transwell. FBS (10%) was added to the media in the upper chamber of the transwell. The migration assay lasted for 12 h and the invasion assay lasted for 24 h. After 12 and 24 h, transwells were collected and wiped. After the transwells were dried, methanol was used to fix the cells for 20 min. Finally, after cell fixation, crystal violet was used to stain the cells overnight. After staining, the transwells were observed under a microscope and counted.

2.10. Chromatin Immunoprecipitation Assay Tumor cells (2 106) were prepared for the chromatin immunoprecipitation (ChIP) assay with × the ChIP assay kit (Cell Signaling Technology). The CREB-bound DNA of the GLUT3 gene was immunoprecipitated with CREB antibodies. The DNA was then used for polymerase chain reaction (PCR) using primers designed for the amplification of the GLUT3 promoter. The PCR product was analyzed and quantified as described before [24]. The primers used were as follows:

(1) forward: 50-TATTTTCTT CTCCTGCTTAGCT-30 and reverse: 50-AGTCATT TATAGT GTTTCCCTTC-30 and (2) forward: 50-CCCAGGGTGGA GAGAGTGGAAG-30 and reverse 50-TTATAATCTCCGCAA AGGGTGGAG-30 and (3) forward: 50-GTCATATCCC AGCGAGACCC AG-30 and reverse: 50-C GCTGTAATCTAA TTCAAGTCTTCAAG-30.

2.11. Statistical Analysis The significance of the data from patient specimens was determined by X2 test and Spearman’s rank correlation test. The significance of the in vitro data and in vivo data was determined by Student’s t-test (two tailed) and Mann–Whitney test (two tailed), respectively. Two-sided p-values less than 0.05 were considered significant. Cells 2019, 8, 1568 5 of 15 Cells 2019, 8, 1568 5 of 14 3. Results

3. Results3.1. Overexpression of GLUT3 in Breast Cancer Patients with Brain Metastasis

3.1. OverexpressionAt first, we investigated of GLUT3 in whether Breast Cancer glucose Patients transp withort and Brain utilization Metastasis are altered in breast cancer brain metastases. We analyzed the GLUT protein expression in parental cells (WT) and brain metastaticAt first, webreast investigated cancer cells whether (BR). glucoseThe West transportern blotting and utilization analysis showed are altered that in breastGLUT3 cancer is brainoverexpressed metastases. in We MDA-MB-231 analyzed the and GLUT BT474 protein BR cells expression (Figure 1A,B, in parental p < 0.01 cells and (WT)p < 0.001). and Interestingly, brain metastatic breastin contrast cancer to cells GLUT3, (BR). the The expression Western of blottingGLUT1 wa analysiss comparably showed decreased that GLUT3 in brain is metastatic overexpressed breast in MDA-MB-231cancer cells (Figure and BT474 1A,B, BR p < cells0.05). (Figure Next, we1A,B, usedp the< 0.01 commercial and p < human0.001). breast Interestingly, cancer metastasis in contrast totissue GLUT3, arraythe expression(US Biomaxof Inc., GLUT1 Derwood, was comparably MD, USA, decreasedBR10011, GL861) in brain to metastaticexamine the breast GLUT3 cancer cellsexpression (Figure1 betweenA,B, p < breast0.05). cancer Next, pa wetients used with the brain commercial metastasis human and those breast with cancer primary metastasis breast cancer tissue arrayin situ. (US The Biomax immunochemistry Inc., Derwood, stain MD, indicated USA, BR10011,that the breast GL861) cancer to examinepatients with the GLUT3brain metastasis expression betweenhad significantly breast cancer higher patients levels withof GLUT3 brain expression metastasis than and those those with with primary primary breast breast cancer cancer (Figure in situ. The1C,D, immunochemistry p < 0.01). These staindata suggest indicated that that the theexpression breast level cancer of patientsGLUT3 was with upregulated brain metastasis in breast had significantlycancer patients higher with levels brain of metastasis. GLUT3 expression than those with primary breast cancer (Figure1C,D, p < 0.01). These data suggest that the expression level of GLUT3 was upregulated in breast cancer patients with brain metastasis.

Figure 1. Expressions of glucose transporter 3 in breast cancer cells and commercial human tissue arrayFigurein vitro 1. Expressions;(A,B) Protein of glucose expression transporter of GLUT3 3 in andbreast GLUT1 cancer were cells detected and commercial by Western human blot tissue analysis array in vitro; (A) and (B) Protein expression of GLUT3 and GLUT1 were detected by Western blot in WT and BR of MDA-MB-231 and BT474 cells. The right panels show the quantification of protein analysis in WT and BR of MDA-MB-231 and BT474 cells. The right panels show the quantification of expression levels. (C) Immunohistochemical staining for GLUT3 performed in commercial human protein expression levels. (C) Immunohistochemical staining for GLUT3 performed in commercial tissue array slides. (D) The statistical result for tissue array data. Data are expressed as mean SEM human tissue array slides. (D) The statistical result for tissue array data. Data are expressed as mean± from 3 to 5 independent experiments and 10 different patients sample dots in human results. * p < 0.05; ± SEM from 3 to 5 independent experiments and 10 different patients sample dots in human results. ** p < 0.01; *** p = 0.001; scale bar = 100 µm. *p < 0.05; **p < 0.01; ***p = 0.001; scale bar = 100 μm. 3.2. Metabolic Reprogramming Is Upregulated in Brain Metastatic Cancer Cells 3.2. Metabolic Reprogramming is Upregulated in Brain Metastatic Cancer Cells Recently, abnormal metabolism was identified as a hallmark of cancer progression [26]. Recently, abnormal metabolism was identified as a hallmark of cancer progression [26]. Next, Next, we investigated the differences in metabolic alternations between MDA-MB-231BR and wild-type we investigated the differences in metabolic alternations between MDA-MB-231BR and wild-type cells.cells. 2-NBDG, 2-NBDG, a glucose a glucose analog analog with with fluorescence, fluorescence, was was examined examined to determineto determine the the glucose glucose uptake uptake ability in vitro. Results showed that both MDA-MB-231BR and BT474BR cells had a higher affinity for glucose uptake than their WT counterparts (Figure2A–D, p < 0.05). Furthermore, we determined whether5 the glucose utility in BR cells was more intensive. Hexokinase 2 (HK2) is considered a key mediator Cells 2019, 8, 1568 6 of 15

ability in vitro. Results showed that both MDA-MB-231BR and BT474BR cells had a higher affinity for glucose uptake than their WT counterparts (Figure 2A–D, p < 0.05). Furthermore, we determined whether the glucose utility in BR cells was more intensive. Hexokinase 2 (HK2) is considered a key mediator of aerobic glycolysis and is a hallmark of brain metastases [27,28]. Our data (Figure 2E,G, p Cells 2019, 8, 1568 6 of 14 < 0.05) showed that the level of HK2 expression was significantly elevated in both MDA-MB-231BR and BT474 BR cells compared with their WT counterparts. In addition, we examined whether aerobic of aerobicglycolysis glycolysis can result and in isthe a hallmarkproduction of of brain lactic metastases acid. Our data [27, 28showed]. Our that data lactate (Figure production2E,G, p < was0.05 ) showedalso elevated that the levelin both of MDA-MB-231BR HK2 expression wasand significantlyBT474 BR cells elevated (Figure in2F,H, both p < MDA-MB-231BR 0.05). Taken together, and BT474 our BR cellsfindings compared showed with that theirglucose WT metabolism counterparts. is indeed In addition, more intensive we examined in breast whether cancer aerobicbrain metastatic glycolysis can resultcells. in the production of lactic acid. Our data showed that lactate production was also elevated in both MDA-MB-231BR and BT474 BR cells (Figure2F,H, p < 0.05). Taken together, our findings showed that glucose metabolism is indeed more intensive in breast cancer brain metastatic cells.

Figure 2. Glucose metabolic reprogramming examination in brain metastatic cells. (A,C), MDA-MB-231 and BT474 cells were treated with 2-NBDG and imaged. (B,D), 2-NBDG staining was statistically analyzed. (E,G), Western blotting showing the expression of hexokinase 2 in MDA-MB-231 and BT474 cells,Figure and histograms 2. Glucose metabolic representing reprogramming quantification examin of westernation in brain blotting metastatic data. (F cells.,H), ( histogramA) and (C), showing MDA- quantificationMB-231 and of BT474 lactate cells production were treated that with was detected2-NBDG byand fluorescence imaged. (B) microscopy.and (D), 2-NBDG Data staining are expressed was as meanstatisticallySEM analyzed. from three (E) to and five (G independent), Western blotting experiments. showing *thep < expression0.05; scale of bar hexokinase= 50 µm. 2 in MDA- MB-231± and BT474 cells, and histograms representing quantification of western blotting data. (F) and 3.3. GLUT3(H), Knockdownhistogram showing Decreased quantification MetabolicReprogramming of lactate production that was detected by fluorescence microscopy. Data are expressed as mean ± SEM from three to five independent experiments. *p < 0.05; Our previous results showed that GLUT3 was upregulated in breast cancer brain metastatic scale bar = 50 μm. cells, but whether GLUT3 could influence glucose metabolism in breast cancer brain metastases was evaluated3.3. GLUT3 next. Knockdown The knockdown Decreased of Metabolic GLUT3 Reprogramming with shRNA was carried out in both MDA-MB-231 BR and BT474BR cells. We found that the HK2 expression was significantly decreased after GLUT3 Our previous results showed that GLUT3 was upregulated in breast cancer brain metastatic knockdown (Figure3A,B, p < 0.05 and p < 0.01). Furthermore, following the GLUT3 knockdown and cells, but whether GLUT3 could influence glucose metabolism in breast cancer brain metastases was HK2 reduction, glucose uptake and lactate production were examined. The results demonstrated that evaluated next. The knockdown of GLUT3 with shRNA was carried out in both MDA-MB-231 BR glucoseCells 2019 uptake, 8, 1568 and lactate production were decreased in both MDA-MB-231 BR GLUT3-knockdown7 of 15 and BT474BR cells. We found that the HK2 expression was significantly decreased after GLUT3 cellsknockdown and BT474 (Figure BR GLUT3-knockdown 3A,B, p < 0.05 and p cells < 0.01). (Figure Furthermore,3C–F, p < following0.001). Our the dataGLUT3 suggest knockdown that GLUT3 and knockdownHK2 reduction, could impactglucose glucoseuptake and metabolism lactate production in brain metastaticwere examined. breast The cancer results cells. demonstrated that glucose uptake and lactate production were decreased in both MDA-MB-231 BR GLUT3-knockdown cells and BT474 BR GLUT3-knockdown cells (Figure 3C–F, p < 0.001). Our data suggest that GLUT3 knockdown could impact glucose metabolism in brain metastatic breast cancer cells. 6

Figure 3. Cont.

Figure 3. Altered glucose metabolism in GLUT3 knockdown MDA-MB-231 and BT474 brain metastatic cells; (A) and (B) Western blots showing the GLUT3 knockdown and reduced HK2 expression. The histograms show quantification of respective western blots. (C) and (E) Glucose uptake was assessed by 2-NBDG treatment that was imaged and quantified as in Figure 2B,D. (D) and (F) Histograms show quantification of lactate production that was detected by fluorescence microscopy. Data are expressed as mean ± SEM from three to five independent experiments. *p < 0.05; **p < 0.01; ***p < 0.001; scale bar = 50 μm.

3.4. GLUT3 Promotes Brain Metastatic Cancer Cell Malignancy Next, we wanted to verify whether the GLUT3 knockdown that impacted glucose metabolism would affect cells’ malignant behaviors. The GLUT3 knockdown groups were assessed for cell malignancy. To investigate the proliferation rate of GLUT3-knockdown cells, the MTT assay and immunoblotting of Ki-67 were performed. The results showed that both MDA-MB-231BR and BT474BR GLUT3 knockdown cells were less proliferative than the mock groups (Figure 4A,B,F,G, p < 0.001). The cell mobility and colony-forming ability of respective GLUT3 knockdown cells were also examined. To examine cell mobility, the transwell migration assay was utilized. Both the MDA-MB- 231BR and BT474BR GLUT3 knockdown groups showed a reduction in mobility compared with the mock groups (Figure 4C,H, p < 0.01). In addition, we examined the levels of N-cadherin and E- cadherin in cells with GLUT3 knockdown. Similar to the transwell experiments, the levels of N- cadherin, the mobility marker, were decreased after GLUT3 knockdown. Conversely, the adhesive marker, E-cadherin, levels were elevated (Figure 4D,I). Moreover, the GLUT3 knockdown groups formed less colonies than the mock groups (Figure 4E,J). These results demonstrated that knockdown of GLUT3 could interfere with the biological processes of BR of migration and malignant transformation.

7 Cells 2019, 8, 1568 7 of 15

Cells 2019, 8, 1568 7 of 14

Figure 3. Altered glucose metabolism in GLUT3 knockdown MDA-MB-231 and BT474 brain metastatic cells; (A,B) Western blots showing the GLUT3 knockdown and reduced HK2 expression. The histograms Figure 3. Altered glucose metabolism in GLUT3 knockdown MDA-MB-231 and BT474 brain show quantification of respective western blots. (C,E) Glucose uptake was assessed by 2-NBDG metastatic cells; (A) and (B) Western blots showing the GLUT3 knockdown and reduced HK2 treatment that was imaged and quantified as in Figure2B,D. ( D,F) Histograms show quantification of expression. The histograms show quantification of respective western blots. (C) and (E) Glucose lactate production that was detected by fluorescence microscopy. Data are expressed as mean SEM uptake was assessed by 2-NBDG treatment that was imaged and quantified as in Figure 2B,D. ±(D) p p p µ fromand three (F) Histograms to five independent show quantification experiments. of *lactate< 0.05; production ** < 0.01; that *** was< 0.001;detected scale by barfluorescence= 50 m. 3.4. GLUT3microscopy. Promotes Data Brain are expressed Metastatic as mean Cancer ± SEM Cell from Malignancy three to five independent experiments. *p < 0.05; **p < 0.01; ***p < 0.001; scale bar = 50 μm. Next, we wanted to verify whether the GLUT3 knockdown that impacted glucose metabolism would3.4. GLUT3 affect cells’Promotes malignant Brain Metastatic behaviors. Cancer The Cell Malignancy GLUT3 knockdown groups were assessed for cell malignancy.Next, we To wanted investigate to verify the proliferationwhether the GLUT3 rate of knockdown GLUT3-knockdown that impacted cells, glucose the MTT metabolism assay and immunoblottingwould affect cells’ of Ki-67 malignant were performed. behaviors. The The results GLUT3 showed knockdown that both groups MDA-MB-231BR were assessed and for BT474BR cell GLUT3malignancy. knockdown To investigate cells were the less proliferation proliferative rate than of GLUT3-knockdown the mock groups (Figurecells, the4A,B,F,G, MTT assayp < and0.001). Theimmunoblotting cell mobility and of colony-formingKi-67 were performed. ability of Th respectivee results GLUT3 showed knockdown that both cellsMDA-MB-231BR were also examined. and ToBT474BR examine GLUT3 cell mobility, knockdown the transwell cells were migration less proliferative assay was than utilized. the mock Both groups the MDA-MB-231BR(Figure 4A,B,F,G, p and BT474BR< 0.001). GLUT3 The cell knockdown mobility and groups colony-forming showed a abilit reductiony of respective in mobility GLUT3 compared knockdown with cells the mock were groupsalso (Figureexamined.4C,H, Top < examine0.01). In cell addition, mobility we, the examined transwell the migration levels of assay N-cadherin was utilized. and E-cadherin Both the MDA-MB- in cells with GLUT3231BR knockdown. and BT474BR Similar GLUT3 to knockdown the transwell groups experiments, showed thea reduction levels of in N-cadherin, mobility compared the mobility with marker, the mock groups (Figure 4C,H, p < 0.01). In addition, we examined the levels of N-cadherin and E- were decreasedCells 2019, after 8, 1568 GLUT3 knockdown. Conversely, the adhesive marker, E-cadherin,8 of 15 levels were elevatedcadherin (Figure in cells4D,I). with Moreover, GLUT3 knockdown. the GLUT3 knockdownSimilar to the groups transwell formed experiments, less colonies the thanlevels the of mockN- groupscadherin, (Figure the4 mobilityE,J). These marker, results were demonstrated decreased af thatter GLUT3 knockdown knockdown. of GLUT3 Conversely, could interfere the adhesive with the marker, E-cadherin, levels were elevated (Figure 4D,I). Moreover, the GLUT3 knockdown groups biological processes of BR of migration and malignant transformation. formed less colonies than the mock groups (Figure 4E,J). These results demonstrated that knockdown of GLUT3 could interfere with the biological processes of BR of migration and malignant transformation.

7

Figure 4. Examination of malignant cells in both GLUT3 knockdown MDA-MB-231 and BT474 brain Figure 4. Examination of malignant cells in both GLUT3 knockdown MDA-MB-231 and BT474 brain metastaticmetastatic cells; cells’ cells; proliferative cells’ proliferative ability ab wasility was examined examined by by the the MTT MTT assay assay (A(A,),F )(F and) and Ki-67 Ki-67 expression analyzedexpression by western analyzed blots by (B western,G). The blots cell (B, migrationG). The cell migration assay was assay performed was performed using using an an 8- 8-µμmm transwell chamber (transwellC,H). The chamber histograms (C, H). The show histograms the number show the ofnumber cells of that cells were that were counted counted in in ( (CC,)H and). Expression(H). of N-cadherinExpression and E-cadherin of N-cadherin in mockand E-cadherin and GLUT3 in mock knockdown and GLUT3 knockdown cells (D,I ).cells The (D cells’, I). The colony-forming cells’ colony-forming ability was evaluated by soft agar colony formation assay and imaged (E, J). Data are ability was evaluated by soft agar colony formation assay and imaged (E,J). Data are expressed as mean expressed as mean ± SEM from three to five independent experiments. **p < 0.01; ***p < 0.001; scale SEM from three to five independent experiments. ** p < 0.01; *** p < 0.001; scale bars: 100 µm in ± bars: 100 μm in migration images and 200 μm in scanned images of colony formation assays. migration images and 200 µm in scanned images of colony formation assays. 3.5. Survival Curves of Nude Mice that were Intracranially Injected with GLUT3 Knockdown Brain Metastatic Cells After verifying the glucose metabolic signaling and cell migration and malignant transformation in vitro, we investigated whether the GLUT3 knockdown could inhibit breast cancer cell survival and adaption in the mouse brain. Therefore, GLUT3 knockdown stable cells were intracranially injected into the mouse brain. Our data indicated that mice that were injected with MDA-MB-231BR and BT474BR GLUT3 knockdown cells showed a two-fold longer survival than mice that were injected with mock BR cells (Figure 5A,D). Immunochemical staining showed that the cancer volume and GLUT3 signals in mice injected with MDA-MB-231BR and BT474BR GLUT3 knockdown cells were smaller and lesser than the signals from the corresponding mock groups (Figure 5B,E, p < 0.01 and p < 0.005). Furthermore, immunochemical staining of HK2 was carried out to observe whether the metabolic signaling was alternated in the mice’s brains. Similar to the in vitro results, the tumor size and HK2 expressions were reduced in GLUT3 knockdown cells (Figure 5C,F, p < 0.01). Therefore, these results demonstrated and confirmed that GLUT3 is crucial for the survival of breast cancer cells in the brain.

8 Cells 2019, 8, 1568 8 of 14

3.5. Survival Curves of Nude Mice That Were Intracranially Injected with GLUT3 Knockdown Brain Metastatic Cells After verifying the glucose metabolic signaling and cell migration and malignant transformation in vitro, we investigated whether the GLUT3 knockdown could inhibit breast cancer cell survival and adaption in the mouse brain. Therefore, GLUT3 knockdown stable cells were intracranially injected into the mouse brain. Our data indicated that mice that were injected with MDA-MB-231BR and BT474BR GLUT3 knockdown cells showed a two-fold longer survival than mice that were injected with mock BR cells (Figure5A,D). Immunochemical staining showed that the cancer volume and GLUT3 signals in mice injected with MDA-MB-231BR and BT474BR GLUT3 knockdown cells were smaller and lesser than the signals from the corresponding mock groups (Figure5B,E, p < 0.01 and p < 0.005). Cells 2019, 8, 1568 9 of 15 Furthermore, immunochemical staining of HK2 was carried out to observe whether the metabolic signaling was alternated in the mice’s brains. Similar to the in vitro results, the tumor size and HK2 expressions were reduced in GLUT3 knockdown cells (Figure5C,F, p < 0.01). Therefore, these results demonstrated and confirmed that GLUT3 is crucial for the survival of breast cancer cells in the brain.

Figure 5. Survival curves of mice that were intracranially injected with BR and GLUT3 knockdown Figure 5. Survival curves of mice that were intracranially injected with BR and GLUT3 knockdown cells; (A,D) The survival curves indicated the life span of mice injected with MDA-MB-231 and cells; (A) and (D) The survival curves indicated the life span of mice injected with MDA-MB-231 and BT474 GLUT3 knockdown and mock cells. (B,E) Brain smears were immunostained for GLUT3, BT474 GLUT3 knockdown and mock cells. (B) and (E) Brain smears were immunostained for GLUT3, photographed, and quantified for GLUT3 expression. (C,F) HK2 expression and quantification in mice photographed, and quantified for GLUT3 expression. (C) and (F) HK2 expression and quantification brains injected with mock and GLUT3 knockdown cells. Data are expressed as mean SEM from five in mice brains injected with mock and GLUT3 knockdown cells. Data are expressed as± mean ± SEM independent experiments and mice. * p < 0.05; ** p < 0.01; scale bar = 50 µm. from five independent experiments and mice. *p < 0.05; ** p < 0.01; scale bar = 50 μm. 3.6. GLUT3 Overexpression Promotes Metastatic Signaling in Brain Metastatic Cells 3.6. GLUT3 Overexpression Promotes Metastatic Signaling in Brain Metastatic Cells GLUT3 upregulation promotes metabolic reprogramming and GLUT3 elevation in GBM-initiating GLUT3 upregulation promotes metabolic reprogramming and GLUT3 elevation in GBM- tumor cells [14]. To further determine whether GLUT3 plays a role in glucose metabolic signaling initiating tumor cells [14]. To further determine whether GLUT3 plays a role in glucose metabolic in breast cancer cells, the parental MDA-MB-231 and BT474 cells were transfected with GLUT3 signaling in breast cancer cells, the parental MDA-MB-231 and BT474 cells were transfected with overexpressionGLUT3 overexpression plasmids to plasmids establish to GLUT3-overexpressedestablish GLUT3-overexpressed stable cells. stable The cells. Western The Western blotting blotting showed thatshowed HK2 expression that HK2 wasexpression upregulated was upregulated due to the overexpressiondue to the overexpression of GLUT3 of in GLUT3 both MDA-MB-231 in both MDA- and BT474MB-231 cells (Figureand BT4746A,C, cellsp <(Figure0.01 and 6A,C,p < p0.001). < 0.01 Importantly,and p < 0.001). the Importantly, GLUT3-overexpressed the GLUT3-overexpressed groups showed an increasegroups showed in the production an increase of in lactate the production (Figure6 B,D,of lactatep < 0.01). (Figure In 6B,D, short, p our< 0.01). finding In short, demonstrated our finding that overexpressiondemonstrated of that GLUT3 overexpression could mediate of GLUT3 and enhance could mediate glucose and metabolism. enhance glucose metabolism.

9 Cells 2019, 8, 1568 10 of 15 Cells 2019, 8, 1568 9 of 14 Figure 6

A B

GLUT3/ -actin HK2 /β-actin Lactate Production 250 ** 500 250 ** *

Mock 200 400 200 GLUT3 ov

150 300 150 GLUT3 100 200 100 (versus WT) (versus WT) (versus WT) % % HK2 50 % 100 50

0 0 0 β-actin Mock GlUT3ov Mock GlUT3ov Mock GlUT3ov

MDA-MB-231 MDA-MB-231 MDA-MB-231 MDA-MB-231

C D

GLUT3/β-actin HK2 /β-actin Lactate Production 200 800 * 250 *** Mock GLUT3 ov GLUT3 ** 200 600 150 GLUT3 150 400 100

100 (versus WT) (versus WT) HK2 (versus WT) % 50 % % 200 50

β-actin 0 0 0 Mock GlUT3ov Mock GlUT3ov Mock GlUT3ov

BT-474 BT-474 BT-474 BT-474 Figure 6. MetabolicFigure 6. Metabolic signaling signaling elevated elevated in in GLUT3-overexpressed GLUT3-overexpressed parental parental breast cancer breast cells; cancer(A) and cells; (A,C) Western blotting(C) Western demonstrating blotting demonstrating overexpression overexpression of of GLUT3 GLUT3 and and HK2 HK2 elevation. elevation. Histograms Histograms show show quantification of the respective protein. (B) and (D) Quantification of lactate production of mock and quantificationGLUT3-overexpressed of the respective cells protein. detected using (B, Dfluorescence) Quantification microscopy. ofData lactate are expressed production as mean of± mock and GLUT3-overexpressedSEM from three cells to five detected independent using experiments fluorescence and mice. microscopy. *p < 0.05; **p Data< 0.01; are***p expressed< 0.001. as mean SEM ± from three to five independent experiments and mice. * p < 0.05; ** p < 0.01; *** p < 0.001. 3.7. GLUT3 Overexpression in Parental Breast Cancer Cells Causes Breast Cancer Cells to Become 3.7. GLUT3 OverexpressionMalignant in Parental Breast Cancer Cells Causes Breast Cancer Cells to Become Malignant After confirming that GLUT3 overexpression could mediate metabolic reprogramming in After confirmingparental breast that cancer GLUT3 cells, overexpression we evaluated wh couldether mediateGLUT3-overexpressed metabolic cells reprogramming exhibit more in parental breast cancermalignant cells, we behavior. evaluated Firstly, whether the MDA-MB-231 GLUT3-overexpressed and BT474 GLUT3-overexpressed cells exhibit cells more showed malignant higher behavior. proliferative ability than the mock cells as indicated by the MTT assay and immunoblotting of Ki-67 Firstly, the MDA-MB-231(Figure 7A,B,F,G, and p < BT4740.001). Furthermore, GLUT3-overexpressed the cell mobility cellsand invasion showed were higher determined proliferative in stable ability than the mock cellsGLUT3-overexpressed as indicated by thecells. MTT Our assaydata showed and immunoblotting that GLUT3 overexpression of Ki-67 resulted (Figure in7A,B,F,G, higher p < 0.001). Furthermore,mobility the cell and mobilityinvasive ability and compared invasion to the were mock determined groups (Figure in 7C,D,H,I, stable p GLUT3-overexpressed < 0.05 and p < 0.01). cells. In addition, GLUT3-overexpressed cells showed a higher level of mobility markers, N-cadherin Our data showed(Figure that 7E,J). GLUT3 Therefore, overexpression these findings sugges resultedt that in overexpression higher mobility of GLUT3 and invasivecan significantly ability compared to the mock groupsenhance the (Figure malignant7C,D,H,I, behavior ofp cancer< 0.05 cells. and p < 0.01). In addition, GLUT3-overexpressed cells showed a higherCells 2019 level, 8, 1568 of mobility markers, N-cadherin (Figure7E,J). Therefore, these11findings of 15 suggest that overexpression of GLUT3 can significantly enhance the malignant behavior of cancer cells.

10

Figure 7. ExaminationFigure 7. Examination of cell of malignant cell malignant behaviors behaviors of of the the parental parental breast breastcancer cells cancer after GLUT3 cells after GLUT3 overexpression;overexpression; (A,F) The (A) proliferativeand (F) The proliferative abilities abilities of parental of parental cells cells afterafter GLUT3 GLUT3 overexpression overexpression were were determined by MTT. (B) and (G) the Ki-67 expressions by western blots. (C) and (H) The determinedphotomicrographs by MTT. (B,G )showing the Ki-67 the mobile expressions and invasive by abilities western by blots.transwell ( Cmigration,H) The assay photomicrographs and showing thecollagen-coated mobile and invasivetranswell assay abilities (the ar byrowhead transwell indicates migration invasive cells), assay (D and) and collagen-coated (I) Histograms transwell assay (the arrowheadshowing quantification indicates of data invasive in (C) and cells), (H). (E) ( Dand,I ()J) Histograms The expression of showing N- and E-cadherin quantification in mock of data in and GLUT3-overexpressed cells. The data are expressed as mean ± SEM from five independent (C,H). (E,J) Theexperiments. expression *p < 0.05; of N-**p < and 0.01; E-cadherin ***p < 0.001; scale in mockbar = 100 and μm. GLUT3-overexpressed cells. The data are expressed as mean SEM from five independent experiments. * p < 0.05; ** p < 0.01; *** p < 0.001; scale ± bar = 1003.8.µ m.GLUT3 Expression is Mediated by CREB in Brain Metastatic Cells. CREB can be a potent regulator of neural progenitor cell survival and expansion in the tumor microenvironment [16]. Furthermore, CREB regulates the expression of GLUT3 in neurons [24]. We speculated that CREB was involved in regulating GLUT3 expression to promote breast cancer survival in the brain microenvironment. Initially, we found that phospho-CREB, the active form of CREB, was significantly higher in both MDA-MB-231 and BT474 brain metastatic breast cancer cells (Figure 8A,B, p < 0.05). Based on our previous results (Figure 1A,B), CREB and GLUT3 were both elevated in BR cells. The ChIP assay was used to assess whether CREB binds to GLUT3 promoter [24] to modulate GLUT3 expression in breast cancer cells to promote brain metastasis. The promoter region is illustrated in Figure 8C, and the data showed that the level of CREB expression significantly increased after binding with the CRE region (−116 to −95 bp) of GLUT3 promoter (Figure 8D). Next, we examined the role of CREB in the regulation of GLUT3. A CREB knockdown assay was performed in BR cells. The results showed that the level of GLUT3 expression was significantly decreased in the CREB knockdown BR groups (Figure 8E,F, p < 0.01 and p < 0.001). In summary, these results illustrated that CREB is involved in the direct regulation of GLUT3 expression in breast cancer brain metastatic cells.

11 Cells 2019, 8, 1568 10 of 14

3.8. GLUT3 Expression Is Mediated by CREB in Brain Metastatic Cells CREB can be a potent regulator of neural progenitor cell survival and expansion in the tumor microenvironment [16]. Furthermore, CREB regulates the expression of GLUT3 in neurons [24]. We speculated that CREB was involved in regulating GLUT3 expression to promote breast cancer survival in the brain microenvironment. Initially, we found that phospho-CREB, the active form of CREB, was significantly higher in both MDA-MB-231 and BT474 brain metastatic breast cancer cells (Figure8A,B, p < 0.05). Based on our previous results (Figure1A,B), CREB and GLUT3 were both elevated in BR cells. The ChIP assay was used to assess whether CREB binds to GLUT3 promoter [24] to modulate GLUT3 expression in breast cancer cells to promote brain metastasis. The promoter region is illustrated in Figure8C, and the data showed that the level of CREB expression significantly increased after binding with the CRE region ( 116 to 95 bp) of GLUT3 promoter (Figure8D). Next, we examined − − the role of CREB in the regulation of GLUT3. A CREB knockdown assay was performed in BR cells. The results showed that the level of GLUT3 expression was significantly decreased in the CREB knockdownCells 2019, 8, 1568 BR groups (Figure8E,F, p < 0.01 and p < 0.001). In summary, these results illustrated12 of 15 that CREB is involved in the direct regulation of GLUT3 expression in breast cancer brain metastatic cells.

FigureFigure 8. LevelsLevels of ofpCREB pCREB are areincreased increased and CREB and CREB mediat mediateses GLUT3 GLUT3expression expression in breast cancer in breast brain cancer brainmetastatic metastatic cells; ( cells;A) and (A (B,B) )pCREB pCREB and and CREB CREB expression expression determined determined by Western by Western blotting blotting in both in both MDA-MB-231MDA-MB-231 and and BT474 BT474 cells, cells, and and histograms histograms showin showingg quantification quantification of respective of respective western western blots. blots. (C(C)) TheThe schematicschematic CREB CREB binding binding region region in in GLUT3 GLUT3 promoter. promoter. (D) (DThe) The CREB CREB binding binding with withGLUT3 GLUT3 promoterpromoter DNADNA waswas assessedassessed byby RT-PCR.RT-PCR. TheThe histogramhistogram showsshows quantificationquantification ofof RT-PCRRT-PCR data.data. ((EE,)F ) the CREBand (F knockdown) the CREB knockdown validation and validation GLUT3 and reduction GLUT3 were reduction analyzed were by analyzed Western by blotting. Western The blotting. histograms showThe histograms quantification show ofquantification each protein of in each respective protein in western respective blots. western Data blots. are expressed Data are expressed as mean as SEM mean ± SEM from three to five independent experiments and mice. *p < 0.05; **p < 0.01. ± from three to five independent experiments and mice. * p < 0.05; ** p < 0.01.

4.4. DiscussionDiscussion ToTo investigateinvestigate the the role role of of glucose glucose transporters transporters in metastatic in metastatic cells, cells, we referr we referreded to the toresults the results of a of aprevious previous studystudy [25] [25 investigating] investigating the the molecular molecular regulation regulation of cancer of cancer cellscells at the at metastasis the metastasis site [25]. site [25]. Several prior investigations indicated that some glucose transporters would be overexpressed during Several prior investigations indicated that some glucose transporters would be overexpressed during tumorigenesis. In our study, we not only discovered the overexpression of the specific glucose tumorigenesis. In our study, we not only discovered the overexpression of the specific glucose transporter, GLUT3, but we also found that dominant glucose transporters would be changed in breast cancer after brain metastasis. In Figure 1, we found the importance of GLUT3, which is seldom expressed in the breast [29], but it was overexpressed in MDA-MB-231 BR cells after brain metastasis. GLUT1 expression was decreased in BR groups. Based on the results of a previous study, the expression of some cancer is altered after metastasis [30]. Therefore, the alternations in this study might involve some genetic or epigenetic modifications after breast cancer brain metastases; however, additional studies are warranted to confirm this finding. GLUT3 has the highest glucose affinity among all class I glucose transporters and is the most well-identified class in the glucose transporter family [9,10]. As noted above, GLUT3 is seldom expressed in the breast and less overexpressed in breast cancer patients than GLUT1 [29, 31]. However, GLUT3 is found to be highly expressed in certain cancer types. GLUT3 expression is found to be high in non-small cell lung cancer and that correlates to poor prognosis compared to other lung cancer types [32]. In addition, SLC2A3, the gene of GLUT3, is upregulated in high mortality colorectal carcinoma patients based on the TCGA dataset [33]. Additionally, in the brain, GLUT3 is also overexpressed in aggressive brain cancer cells and could impact the drug resistant ability [14,15].

12 Cells 2019, 8, 1568 11 of 14 transporter, GLUT3, but we also found that dominant glucose transporters would be changed in breast cancer after brain metastasis. In Figure1, we found the importance of GLUT3, which is seldom expressed in the breast [29], but it was overexpressed in MDA-MB-231 BR cells after brain metastasis. GLUT1 expression was decreased in BR groups. Based on the results of a previous study, the expression of some cancer genes is altered after metastasis [4]. Therefore, the alternations in this study might involve some genetic or epigenetic modifications after breast cancer brain metastases; however, additional studies are warranted to confirm this finding. GLUT3 has the highest glucose affinity among all class I glucose transporters and is the most well-identified class in the glucose transporter family [9,10]. As noted above, GLUT3 is seldom expressed in the breast and less overexpressed in breast cancer patients than GLUT1 [29,30]. However, GLUT3 is found to be highly expressed in certain cancer types. GLUT3 expression is found to be high in non-small cell lung cancer and that correlates to poor prognosis compared to other lung cancer types [31]. In addition, SLC2A3, the gene of GLUT3, is upregulated in high mortality colorectal carcinoma patients based on the TCGA dataset [32]. Additionally, in the brain, GLUT3 is also overexpressed in aggressive brain cancer cells and could impact the drug resistant ability [14,15]. Based on these findings, it appears that GLUT3 is potentially required in high glucose-demanding malignant cells. Besides, Chang et al. demonstrated that tumors can enhance their own glucose uptake, making them a highly competitive energy source in the metastatic microenvironment [33]. Moreover, using a glucose transporter with a higher glucose affinity could help breast cancer cells survive in the brain. Cancer cells have the ability of increasing their glucose metabolism, which can induce proliferation and other processes to maintain their survival. Furthermore, the consumption of glucose by cancer cells could be observed [8,26]. Metastatic cells expressed high-affinity glucose transporters; however, it remains unclear whether high-affinity glucose transporters could enhance the glucose uptake ability of breast cancer brain metastatic cells. The 2-NBDG assay results demonstrated that metastatic cells have higher glucose uptake. We also verified that oncogenic glucose metabolic enzyme HK2 expression and the aerobic glycolysis final product, lactate, were both significantly higher in BR cells. As aerobic glycolysis is recognized as a hallmark property of malignant cells, our results indicate that brain metastatic cells have a greater ability to reprogram their metabolism in order to survive in the brain. Although several studies demonstrated that glucose consumption would be elevated during tumorigenesis, very few studies indicated that glucose uptake is increased in metastatic cells. Here, we demonstrated that glucose uptake and metabolism were significantly increased in brain metastatic cells. The glucose reprogramming phenomenon is common in patients with cancer, and targeting the glucose metabolism pathway in cancer therapies has been demonstrated in multiple previous studies [7]. We found that overexpression of GLUT3 in BR cells results in a higher ability to metabolize glucose. We validated GLUT3’s role in mediating BR cell survival, and found glucose metabolic ability was lower in GLUT3 knockdown BR cells. Moreover, the results of the cell behavior analysis indicated that GLUT3 knockdown groups were less malignant, with lower migration and invasion. Furthermore, the mice injected with GLUT3 knockdown cells in their brain had a longer life span. Previous studies showed that the production of lactate is increased during cancer progression, and this could lead to a reduction in the immune response and consequently increase the survival of cancer cells [34,35]. In summary, our results indicate that GLUT3 loss could ameliorate not only cancer metabolic reprogramming but also brain metastatic breast cancers. Interestingly, and as expected, GLUT3 overexpression influenced the expression of HK2. Moreover, GLUT3-overexpressed cells were more malignant after GLUT3 expression increased. This is the first study to report that overexpressed GLUT3 could initiate metabolic changes in breast cancer cells. As Mark Masin et al. illustrated in their study on non-small cell lung cancer, GLUT3 is induced during epithelial–mesenchymal transition (EMT). In this study, the results demonstrated that EMT is not only induced, but the lung cancer cells that overexpressed GLUT3 exhibited higher glucose import [31]. Although Mark Masin et al. did not emphasize the possible occurrence of brain metastasis, 40% of non-small cell lung cancer patients Cells 2019, 8, 1568 12 of 14

develop brain metastasis. It is unclear whether elevated GLUT3 expression might be a diagnostic marker of lung cancer metastasis in the brain. CREB plays an important role in the survival and metabolism of cells in the brain microenvironment [17]. Moreover, we found that pCREB, the functional unit of CREB, is elevated in brain metastatic cancer cells. Furthermore, GLUT3 expression was significantly decreased after CREB was knocked down in both MDA-MB-231 and BT474 cells. The ChIP assay indicated that CREB directly regulated GLUT3 expression, and CREB binding ability was higher in brain metastatic breast cancer cells. Thus, we presume that a more activated CREB would bind to GLUT3 promoter in brain metastatic cells and subsequently induce more GLUT3 expression once breast cancer cells metastasize to the brain.

5. Conclusions In conclusion, we demonstrated GLUT3 regulation of breast cancer cells survival and metastasis to the brain. Therefore, our study further illustrated that: (1) After metastasis, the expression and distribution of dominant glucose transporters is altered so that cancer cells can survive in the brain, (2) GLUT3 plays a potent role in breast cancer brain metastasis, (3) GLUT3 expression is regulated by CREB, and (4) GLUT3 might be a potential target for the treatment of breast cancer brain metastasis.

Author Contributions: Conceptualization, M.-H.K., W.-W.C. and H.-T.L.; Data curation, M.-H.K. and Y.-S.C.; Formal analysis, M.-H.K., W.-W.C. and H.-T.L.; Investigation, M.-H.K., B.-W.Y. and H.-T.L.; Methodology, M.-H.K., W.-W.C., B.-W.Y., Y.-S.C., Y.-C.L. and H.-T.L.; Project administration, H.-T.L.; Resources, H.-T.L.; Supervision, H.-T.L.; Validation, W.-W.C. and B.-W.Y.; Writing—original draft, M.-H.K. and H.-T.L.; Writing—review and editing, H.-T.L. Funding: This study was supported by grants from the Ministry of Science and Technology (MOST 104-2320-B-010 -041 -MY3, NSC 102-2320-B-010-032 - and MOST 103-2320-B-010 -015) Taiwan. Yen Tjing Ling Medical Foundation (CI-104-10, CI-105-15) and Cheng-Hsin General Hospital (CY10523, CY10606 and CY10708). Conflicts of Interest: The authors declare no conflict of interest.

References

1. Joyce, J.A.; Pollard, J.W. Microenvironmental regulation of metastasis. Nat. Rev. Cancer 2009, 9, 239–252. [CrossRef] 2. Park, E.S.; Kim, S.J.; Kim, S.W.; Yoon, S.L.; Leem, S.H.; Kim, S.B.; Kim, S.M.; Park, Y.Y.; Cheong, J.H.; Woo, H.G.; et al. Cross-species hybridization of microarrays for studying tumor transcriptome of brain metastasis. Proc. Natl. Acad. Sci. USA 2011, 108, 17456–17461. [CrossRef] 3. Quail, D.F.; Taylor, M.J.; Postovit, L.M. Microenvironmental regulation of cancer stem cell phenotypes. Curr. Stem Cell Res. Ther. 2012, 7, 197–216. [CrossRef] 4. Yates, L.R.; Knappskog, S.; Wedge, D.; Farmery, J.H.R.; Gonzalez, S.; Martincorena, I.; Alexandrov, L.B.; Van Loo, P.; Haugland, H.K.; Lilleng, P.K.; et al. Genomic Evolution of Breast Cancer Metastasis and Relapse. Cancer Cell 2017, 32, 169–184. [CrossRef] 5. Chen, E.I.; Hewel, J.; Krueger, J.S.; Tiraby, C.; Weber, M.R.; Kralli, A.; Becker, K.; Yates, J.R.; Felding-Habermann, B. Adaptation of energy metabolism in breast cancer brain metastases. Cancer Res. 2007, 67, 1472–1486. [CrossRef] 6. Friedl, P.; Alexander, S. Cancer invasion and the microenvironment: Plasticity and reciprocity. Cell 2011, 147, 992–1009. [CrossRef] 7. Seyfried, T.N.; Mukherjee, P. Targeting energy metabolism in brain cancer: Review and hypothesis. Nutr. Metab. (Lond.) 2005, 21, 30. [CrossRef] 8. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646–674. [CrossRef] 9. Medina, R.A.; Owen, G.I. Glucose transporters: Expression, regulation and cancer. Biol. Res. 2002, 35, 9–26. [CrossRef] 10. Wood, I.S.; Trayhurn, P. Glucose transporters (GLUT and SGLT): Expanded families of sugar transport . Br. J. Nutr. 2003, 89, 3–9. [CrossRef] Cells 2019, 8, 1568 13 of 14

11. Ganapathy, V.; Thangaraju, M.; Prasad, P.D.Nutrient transporters in cancer: Relevance to Warburg hypothesis and beyond. Pharmacol. Ther. 2009, 121, 29–40. [CrossRef] 12. Jun, Y.J.; Jang, S.M.; Han, H.L.; Lee, K.H.; Jang, K.S.; Paik, S.S. Clinicopathologic significance of GLUT1 expression and its correlation with Apaf-1 in colorectal adenocarcinomas. World J. Gastroenterol. 2011, 17, 1866–1873. [CrossRef] 13. Boado, R.J.; Black, K.L.; Pardridge, W.M. Gene expression of Glut3 and Glut1 glucose transporters in human brain tumors. Brain Res. Mol. Brain Res. 1994, 27, 51–57. [CrossRef] 14. Flavahan, W.A.; Wu, Q.; Hitomi, M.; Rahim, N.; Kim, Y.; Sloan, A.E.; Weil, R.J.; Nakano, I.; Sarkaria, J.N.; Stringer, B.W.; et al. Brain tumor initiating cells adapt to restricted nutrition through preferential glucose uptake. Nat. Neurosci. 2013, 16, 1373–1382. [CrossRef] 15. Kuang, R.; Jahangiri, A.; Mascharak, S.; Nguyen, A.; Chandra, A.; Flanigan, P.M.; Yagnik, G.; Wagner, J.R.; De Lay, M.; Carrera, D.; et al. GLUT3 upregulation promotes metabolic reprogramming associated with antiangiogenic therapy resistance. JCI Insight 2017, 2, e88815. [CrossRef] 16. Dworkin, S.; Malaterre, J.; Hollande, F.; Darcy, P.K.; Ramsay, R.G.; Mantamadiotis, T. cAMP response element binding protein is required for mouse neural progenitor cell survival and expansion. Stem Cells 2009, 27, 1347–1357. [CrossRef] 17. Ortega-Martínez, S. A new perspective on the role of the CREB family of transcription factors in memory consolidation via adult hippocampal neurogenesis. Front. Mol. Neurosci. 2016, 8, 46. [CrossRef] 18. Daniel, P.M.; Filiz, G.; Tymms, M.J.; Ramsay, R.G.; Kaye, A.H.; Stylli, S.S.; Mantamadiotis, T.; Intratumor, M.A. PK and PI3K signaling pathway heterogeneity in glioblastoma tissue correlates with CREB signaling and distinct target gene signatures. Exp. Mol. Pathol. 2018, 105, 23–31. [CrossRef] 19. Qiao, X.; Gai, H.; Su, R.; Deji, C.; Cui, J.; Lai, J.; Zhu, Y. PI3K-AKT-GSK3β-CREB signaling pathway regulates anxiety-like behavior in rats following alcohol withdrawal. J. Affect. Disord. 2018, 235, 96–104. [CrossRef] 20. Tan, X.; Wang, S.; Zhu, L.; Wu, C.; Yin, B.; Zhao, J.; Yuan, J.; Qiang, B.; Peng, X. cAMP response element-binding protein promotes gliomagenesis by modulating the expression of oncogenic microRNA-23a. Proc. Natl. Acad. Sci. USA 2012, 109, 15805–15810. [CrossRef] 21. Tan, X.; Wang, S.; Yang, B.; Zhu, L.; Yin, B.; Chao, T.; Zhao, J.; Yuan, J.; Qiang, B.; Peng, X. The CREB-miR-9 negative feedback minicircuitry coordinates the migration and proliferation of glioma cells. PLoS ONE 2012, 7, e49570. [CrossRef] 22. Lonze, B.E.; Riccio, A.; Cohen, S.; Ginty, D.D. Apoptosis, axonal growth defects, and degeneration of peripheral neurons in mice lacking CREB. Neuron 2002, 34, 371–385. [CrossRef] 23. Mantamadiotis, T.; Lemberger, T.; Bleckmann, S.C.; Kern, H.; Kretz, O.; Martin Villalba, A.; Tronche, F.; Kellendonk, C.; Gau, D.; Kapfhammer, J.; et al. Disruption of CREB function in brain leads to neurodegeneration. Nat. Genet. 2002, 31, 47–54. [CrossRef] 24. Jin, N.; Qian, W.; Yin, X.; Zhang, L.; Iqbal, K.; Grundke-Iqbal, I.; Gong, C.X.; Liu, F. CREB regulates the expression of neuronal glucose transporter 3: A possible mechanism related to impaired brain glucose uptake in Alzheimer’s disease. Nucleic Acids Res. 2013, 41, 3240–3256. [CrossRef] 25. Lee, H.T.; Xue, J.; Chou, P.C.; Zhou, A.; Yang, P.; Conrad, C.A.; Aldape, K.D.; Priebe, W.; Patterson, C.; Sawaya, R.; et al. Stat3 orchestrates interaction between endothelial and tumor cells and inhibition of Stat3 suppresses brain metastasis of breast cancer cells. Oncotarget 2015, 6, 10016–10029. [CrossRef] 26. Bensinger, S.J.; Christofk, H.R. New aspects of the Warburg effect in cancer cell biology. Semin. Cell Dev. Biol. 2012, 23, 352–361. [CrossRef] 27. Mathupala, S.P.; Ko, Y.H.; Pedersen, P.L. Hexokinase-2 bound to mitochondria: Cancer’s stygian link to the “Warburg Effect” and a pivotal target for effective therapy. Semin. Cancer Biol. 2009, 19, 17–24. [CrossRef] 28. Palmieri, D.; Fitzgerald, D.; Shreeve, S.M.; Hua, E.; Bronder, J.L.; Weil, R.J.; Davis, S.; Stark, A.M.; Merino, M.J.; Kurek, R.; et al. Analyses of resected human brain metastases of breast cancer reveal the association between up-regulation of hexokinase 2 and poor prognosis. Mol. Cancer Res. 2009, 7, 1438–1445. [CrossRef] 29. Younes, M.; Lechago, L.V.; Somoano, J.R.; Mosharaf, M.; Lechago, J. Immunohistochemical detection of Glut3 in human tumors and normal tissues. Anticancer Res. 1997, 17, 2747–2750. 30. Krzeslak, A.; Wojcik-Krowiranda, K.; Forma, E.; Jozwiak, P.; Romanowicz, H.; Bienkiewicz, A.; Brys, M. Expression of GLUT1 and GLUT3 glucose transporters in endometrial and breast cancers. Pathol. Oncol. Res. 2012, 18, 721–728. [CrossRef] Cells 2019, 8, 1568 14 of 14

31. Masin, M.; Vazquez, J.; Rossi, S.; Groeneveld, S.; Samson, N.; Schwalie, P.C.; Deplancke, B.; Frawley, L.E.; Gouttenoire, J.; Moradpour, D.; et al. GLUT3 is induced during epithelial-mesenchymal transition and promotes tumor cell proliferation in non-small cell lung cancer. Cancer Metab. 2014, 2, 11. [CrossRef] 32. Kim, E.; Jung, S.; Park, W.S.; Lee, J.H.; Shin, R.; Heo, S.C.; Choe, E.K.; Lee, J.H.; Kim, K.; Chai, Y.J. Upregulation of SLC2A3 gene and prognosis in colorectal carcinoma: Analysis of TCGA data. BMC Cancer 2019, 19, 302. [CrossRef] 33. Chang, C.H.; Qiu, J.; O’Sullivan, D.; Buck, M.D.; Noguchi, T.; Curtis, J.D.; Chen, Q.; Gindin, M.; Gubin, M.M.; van der Windt, G.J.; et al. Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression. Cell 2015, 162, 1229–1241. [CrossRef] 34. Romero-Garcia, S.; Moreno-Altamirano, M.M.; Prado-Garcia, H.; Sánchez-García, F.J. Lactate Contribution to the Tumor Microenvironment: Mechanisms, Effects on Immune Cells and Therapeutic Relevance. Front. Immunol. 2016, 7, 52. [CrossRef] 35. Doherty, J.R.; Cleveland, J.L. Targeting lactate metabolism for cancer therapeutics. J. Clin. Investig. 2013, 123, 3685–3692. [CrossRef]

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