- Research article
- Open Access
- Open Peer Review
GLUT1 gene is a potential hypoxic marker in colorectal cancer patients
- Fu-Yen Chung†1,
- Ming-Yii Huang†1, 2, 3,
- Ching-Sheng Yeh7, 8, 9,
- Hui-Jen Chang7, 8, 9,
- Tian-Lu Cheng4,
- Li-Chen Yen1,
- Jaw-Yuan Wang5, 6Email author and
- Shiu-Ru Lin7, 8, 9Email author
© Chung et al; licensee BioMed Central Ltd. 2009
- Received: 10 August 2008
- Accepted: 20 July 2009
- Published: 20 July 2009
Tumor hypoxia is an important factor related to tumor resistance to radiotherapy and chemotherapy. This study investigated molecules synthesized in colorectal cancer cells during hypoxia to explore the possibility of developing molecular probes capable of detecting cell death and/or the efficiency of radiotherapy and chemotherapy.
At first, we incubated two human colorectal adenocarcinoma cell lines SW480 (UICC stage II) and SW620 (UICC stage III) cells in hypoxic (≤2% O2, 93% N2, and 5% CO2) and normoxic conditions (20% O2, 75% N2, and 5% CO2) for 24 h and 48 h. The relative expression ratio of GLUT1 mRNA in hypoxic conditions was analyzed by RT-PCR. Ten cancerous tissues collected from human colorectal cancer patients were examined. HIF-1α and HIF-2α levels were measured to indicate the degree of hypoxia, and gene expression under hypoxic conditions was determined. As a comparison, HIF-1α, HIF-2α, and GLUT1 levels were measured in the peripheral blood of 100 CRC patients.
Hypoxia-induced lactate was found to be elevated 3.24- to 3.36-fold in SW480 cells, and 3.06- to 3.17-fold in SW620 cells. The increased relative expression ratio of GLUT1 mRNA, under hypoxic conditions was higher in SW620 cells (1.39- to 1.72-fold elevation) than in SW480 cells (1.24- to 1.66-fold elevation). HIF-1α and HIF-2α levels were elevated and GLUT1 genes were significantly overexpressed in CRC tissue specimens. The elevated ratio of GLUT1 was higher in stage III and IV CRC tissue specimens than in the stage I and II (2.97–4.73 versus 1.44–2.11). GLUT1 mRNA was also increased in the peripheral blood of stage II and III CRC patients as compared to stage I patients, suggesting that GLUT1 may serve as a hypoxic indicator in CRC patients.
In conclusion, this study demonstrated that GLUT1 has the potential to be employed as a molecular marker to indicate the degree of hypoxia experienced by tumors circulating in the blood of cancer patients.
- Vascular Endothelial Growth Factor
- SW620 Cell
- UICC Stage
- SW620 Cell Line
- GLUT1 mRNA
Hypoxia is an important factor in tumor biology as it plays a critical role in resistance to radiation therapy and chemotherapy [1, 2]. Hypoxia is tightly correlated with aggressive tumor behavior, including angiogenesis, aggressiveness, local recurrence, and distant metastasis [3, 4]. Hypoxia appears to be a poor prognostic factor for several cancers, including colorectal, cervix, head and neck, and prostate [5–8]. Despite the importance of tumor oxygenation status in both therapy and prediction of disease progression, to date, there has been no consensus as to the best method for the detection of hypoxia . Currently available techniques are classified broadly into direct invasive methods, direct non-invasive methods, and measurement of surrogate endogenous or chemical markers of tumor oxygenation. Of these methods, the Eppendorf pO2 histograph is considered the "gold standard" for determination of intratumoral oxygen tensions, but this method is invasive [9–11]. Recent studies have focused on molecular markers of hypoxia. The chemical hypoxia marker, pimonidazole, and expression of the endogenous hypoxia markers (carbonic anhydrase IX, hypoxia-inducible factor 1α, osteopontin, ephrin A1, galectin-1, and lysyl oxidase) are used to detect hypoxia by immunohistochemical staining of tumor biopsy tissues [5, 6, 12]. Lactate is the end product of glycolysis; and in 1996, Terpstra reported that in vivo measurements of tumor lactate concentration may provide valuable information about tumor metabolism . Our previous study showed that the glycolytic pathway and glycolysis-related genes may play an important role in the tumorigenesis of CRC. Cell line studies identified 8 genes, including GLUT1, HK1, GPI, GAPD, PGK1, PGK2, ENO2, and PKM2, that have a high level of expression. Furthermore, Hypoxia-inducible factor 1 (HIF-1) has been found to target the transcription of over 60 genes involved in many aspects of cancer biology, including cell survival, glucose metabolism, cell invasion and angiogenesis . These genes might provide a reference to the future clinical diagnosis of CRC and the pharmaceutical efficacy of treatment.
In publicly acknowledged clinical experiences with CRC patients, regular clinical biochemical tests and imaging studies have been employed as tools for post-surgical follow-up. Of these, carcinoembryonic antigen (CEA) is the most commonly used tumor marker for the detection of non-symptomatic recurrence. However, recent studies have pointed out that the sensitivity of CEA and CA 19-9 are only 30% and 18%, respectively . Although CEA detection in the serum and tumor tissue of colorectal cancer (CRC) patients is the most commonly used marker for the diagnosis and evaluation of prognosis or recurrence after treatment, its role remains controversial . In terms of tools for imaging studies, F-18-fluorodeoxyglucose-positron emission tomography (FDG-PET) can be utilized for early assessment of the chemotherapy response in patients with advanced colorectal cancer . However, FDG-PET is a functional testing tool, so other structural imaging tools, such as computed tomography (CT) and magnetic resonance imaging (MRI), need to be employed in conjunction with FDG-PET for more precise location of the tumor. Moreover, inflammation, activity of the intestinal tract itself or constipation can often cause false-positives in FDG-PET studies. Using CT in the preoperative staging of colorectal cancer, even if controversial, may be useful for planning surgery and/or neoadjuvant therapy . CT is one of the routinely used methods for detecting local recurrence, but recurrence in the pelvis and post-surgical fibrosis are hard to differentiate with this technique. Therefore, there are shortfalls in current methodologies being offered. Both imaging tools and chemotherapy have their own inherent inconveniences and deficiencies, especially in providing evidence for the therapeutic efficacy of target drugs.
According to the report by Weidner et al. , active angiogenesis may occur in prostate cancer tissue growing to 2 mm in diameter. In a metastatic state, each gram of tumor may shed approximately 106 cells into the blood vessel . Since blood sampling is relatively easy, we wish to discover a molecular marker that could be used to assess the hypoxia level of peripheral circulating cancer cells in the blood specimens of cancer patients. To date, however, no correlation between the expression levels of these mRNA markers and the cancer progression stages of CRC patients has been determined. In the present study, we investigate the correlation of hypoxia-related genes and glycolysis-related genes and clinical prognosis in CRC patients in Taiwan. We present the correlation between lactate concentrations with hypoxia status in CRC cell lines under hypoxic conditions; and in parallel, we demonstrate the expression of the transcription factor HIF-1α and of the GLUT1 (a glucose transporter protein) mRNA by RT-PCR. We exploited membrane array to quantitatively analyze the expression of GLUT1 mRNA markers in the circulating tumor cells of patients with stage-II and -III CRC. The aim of this innovative diagnosis technique established in this study is to achieve early CRC detection and improve the efficacy of therapies in managing this malignancy.
Colorectal cancer cell lines
Two human colorectal adenocarcinoma cell lines, SW480 (UICC stage II) and SW620 (UICC stage III), were obtained from American-Type Culture Collection (CCL-228 and CCL-227; ATCC, Rockville, MD, USA) and used for this study. Cells were maintained in Leibovitz's L-15 medium (Gibco Life Sciences, BRL, Grand Island, NY, USA) and supplemented with 10% (v/v) fetal bovine serum (FBS) at 37°C in humidified atmospheric air without CO2 addition. Cell density was maintained in approximately 100,000 cells/mL medium in T-25 flasks (Corning, NY, USA). When the cells had grown to a confluent monolayer, they were harvested by washing the dishes once with phosphate-buffered saline (PBS), pH 7.3, and then incubated in PBS containing 0.53 mmol/L EDTA and 0.05% trypsin (Gibco) for 10–15 min at 37°C. The trypsinized cells were counted, and cell viability was assessed by trypan blue dye exclusion. Then, the cells were incubated for 24 and 48 h under two different oxygenated conditions (hypoxia: ≤2% O2, 93% N2, 5% CO2; normoxia: 20% O2, 75% N2, 5% CO2).
Lactate concentration measurements
Cells were rinsed twice with phosphate-buffered saline, fresh medium was added to the cultures with and without each of the glucose analogs tested (2-Deoxy-D-glucose (2DG), at the indicated concentrations, and the cells were incubated at 37°C in humidified atmospheric air without CO2 addition for 24 and 48 h. Then, the media were collected for lactate concentration determination. The supernatant was centrifuged three times to yield a final clear supernatant. Aliquots of the culture medium were removed for content analysis. The absorbance was measured at 540 nm with a Multiskan® EX ELISA Reader (Thermo Electron Corp., Finland) using a linear range of standard lactate concentrations according to the procedures recommended by the manufacturer (Trinity Biotech, Jamestown, NY). The intra-assay coefficient of variation was 1.1%. Samples were analyzed in triplicate. The relative concentration of lactate was examined after normoxia and hypoxia incubations for either 24 h or 48 h, respectively.
Reverse transcriptase-polymerase chain reaction (RT-PCR)
RNA was extracted from colorectal cancer cell lines using ISOGEN™ (Nippon Gene Co., Ltd., Toyama, Japan) and QIAmp® RNA Blood Mini Kit (Qiagen Inc., Valencia, CA). Total RNA (20 μg) was reverse transcribed to cDNA and two microliters of each of these cDNA samples were used for each PCR reaction. Two target genes, HIF-1α and GLUT1, were detected by RT-PCR. Sequences of the oligonucleotide primers were designed according a PCR primer selection program based on primer 3 at http://frodo.wi.mit.edu. Also, β-actin primers were added as internal controls to correct for the differences in total RNA amounts between the SW480 and SW620 cells. Each RT-PCR reaction mixture contained 1 × PCR buffer (10 mmol/L Tris-HCL, pH 8.3, 50 mmol/L KCL, 2 mmol/L MgCl2), 50 μmol/L dNTP, 0.1 μmol/L sense and antisense primers for target genes, and 0.01 μmol/L sense and antisense primers for β-actin, and 2.5 U Taq DNA polymerase in a total volume of 50 μL. PCR amplification was carried out in a GeneAmp 2700 thermocycler (Applied Biosystems, Foster City, CA), under the following conditions: initial denaturation at 95°C for 5 min; 33–35 cycles at 94°C for 30 s, at 60°C for 30 s, at 72°C for 1 min, and then at 72°C for 5 min for the final extension. PCR products were analyzed in 3% agarose gel containing 0.5 μg/mL ethidium bromide. The signals on UV transilluminator for each target gene and β-actin expression levels were scanned with a computing laser densitometer (Alpha Inotech, San Leandro, CA, USA) to calculate the relative mRNA density. Additional File 1 lists the primer sequences, PCR conditions, and sizes of PCR products.
Tissue and blood samples
Ten CRC patients, ages ranging from 32 to 68 years (mean age: 51.5 ± 13.1 years), were selected randomly from a patient group at the Department of Surgery of Kaohsiung Medical University Hospital between May 2006 and March 2008. None of these patients had received any preoperative radiotherapy or chemotherapy. According to the prospective protocol, the tumors and all of the lymph nodes were cut at different levels and embedded in paraffin, and sections were taken for routine H&E staining. Senior pathologists checked all of these slides and documented the pathological characteristics of the tumor and lymph nodes. The tumor stage was defined according to the criteria of the American Joint Commission on Cancer/International Union Against Cancer (AJCC/UICC, 2002). Patients' characteristics are depicted in Additional File 2. Each tissue sample was snap-frozen in liquid nitrogen immediately after surgery, and stored at -80°C. Between July 2006 and May 2008, peripheral blood samples of 100 pre-operative CRC patients (mean age: 57.4 ± 13.4 years) were collected for genotype analysis. Five millilitres of peripheral blood were collected with test tubes containing anticoagulant sodium citrate from each of the enrolled patients before receiving any anticancer treatment, e.g., surgery, radiotherapy or chemotherapy. To avoid the contamination of skin cells, the sampled blood was taken via an intravenous catheter, and the first few millilitres of blood were discarded. Total RNA was immediately extracted from the peripheral whole blood, and then served as templates for cDNA synthesis. Written informed consent was obtained from all subjects and/or guardians for the use of their tissue and blood samples. Tissue and blood acquisition and subsequent use were approved by the institutional review board of Kaohsiung Medical University.
Total RNA extraction and first strand cDNA synthesis
Total RNA was extracted from colorectal cancer patient's tissue and peripheral blood specimens with ISOGEN™ (Nippon Gene, Toyama, Japan) and QIAmp® RNA Blood Mini Kit (Qiagen Inc., Valencia, CA) according to the manufacturer's instructions . The RNA concentration was determined spectrophotometrically on the basis of absorbance at 260 nm (Beckman, DU800, USA). First-strand cDNA was synthesized from total RNA using a RT-PCR kit (Promega Corp., Madison, WI). The reverse transcription was carried out in a reaction mixture consisting of 1× Transcription Optimized 5× Buffer, 25 μg/ml oligo (dT)-15mer primer, 100 mmol/L PCR Nucleotide Mix, 200 μmol/L M-MLV Reverse Transcriptase, and 25 μL of Recombinant RNasin® Ribonuclease Inhibitor (Promega). The reaction mixtures were incubated at 42°C for longer than 2 h, heated to 95°C for 5 min, and then stored at -80°C until analysis. Total RNA (20 μg) was reverse transcribed to cDNA.
Membrane array preparation for hypoxia- and glycolysis-associated gene expression
Preparation of digoxigenin-labeled cDNA targets and hybridization
First-strand cDNA targets for hybridization were produced by using SuperScript reverse transcriptase (Gibco-BRL, Gaithersburg, MD) in the presence of digoxigenin (DIG)-labeled dUTP (Roche Diagnostics GmbH, Penzberg, Germany). After the pre-hybridization procedures, the gene chips were subjected to hybridization. The lifts were covered with Express Hyb Hybridization Solution (BD Biosciences, Palo Alto, CA) containing DIG-11-UTP-labeled cDNA probes. After the washing and blocking steps, the arrays were incubated with alkaline phosphatase-conjugated anti-digoxigenin antibody (Roche Diagnostics). For hybridization, the arrays were incubated at 42°C for 12 h in a humidity chamber. For signal detection, the gene chips were incubated in chromogen solution containing nitroblue-tetrazolium and 5-bromo-4-chloro-3-indoyl-phosphate (NBT/BCIP) for 15 min. The hybridized arrays were then scanned with an Epson Perfection 1670 flatbed scanner (SEIKO EPSON Corp., Nagano-ken, Japan). Subsequent quantification analysis of each spot's intensity was carried out using AlphaEase® FC software (Alpha Innotech Corp., San Leandro, CA). Spots consistently carrying a factor of two or more were considered as differentially expressed. These array analysis tools facilitated the measurement of relative gray levels of objects in a uniformly spaced array, such as dot blots. A deformable template extracted the gene spots and quantified their expression levels by determining the integrated intensity of each spot after background subtraction. The fold ratio for each gene was calculated as follows: spot intensity ratio = mean intensity of target gene/mean intensity of β-actin. Figure 1A provides the schematic representation of the membrane array with 16 target genes, one housekeeping gene (β-actin), one bacterial gene (TB), and the blank control.
All data were analyzed using the Statistical Package for Social Sciences Version 11.5 software (SPSS Inc., Chicago, IL). Data are presented as means ± SE, and P values were determined by unpaired Student's t test. Furthermore, the two-sided Pearson χ2 test was used to analyze the differences in the over-expression of the genotypes between different age groups, gender and stages. A P value of less than 0.05 was considered statistically significant.
Correlation between Lactate concentrations with hypoxia status
HIF-1α and GLUT1 mRNA expressions in SW480 and SW620 cell lines under normoxia and hypoxia conditions
Glycolysis- and hypoxia-associated gene expressions in CRC tissue specimens
We used mRNA membrane array to explore gene expression profiles in CRC tissues. Seven candidate genes of glycolysis-associated genes (i.e., HK1, GPI, PGK1, PGK2, ENO2, PKM2, and GLUT1) and nine hypoxia-associated genes (i.e., uPA, CA9, CA12, TP, bFGF, COX-2, HIF-1α, HIF-2α, and VEGF) were detected in the present study. We spotted the well-designed oligonucleotide for each candidate gene onto nylon membrane for further analysis (Figure 1). Membrane array analysis was performed on 10 human CRC tissue samples and 10 paired human normal colorectal tissue samples. Additional File 4 lists the relative gene expression ratios of colorectal cancer tissues compared with normal controls.
We found that GLUT1, HIF-1α, and HIF-2α genes presented 100% overexpression in these 10 CRC tissue samples. The overexpression rate of the other genes were 60% in HK1; 70% in GPI and PGK1; 80% in ENO2, PKM2, uPA, TP, bFGF and VEGF; and 90% in PGK2, CA9, CA12 and COX-2. The overexpression ratios of GLUT1, HIF-1α and HIF-2α genes in poorly differentiated stage-III and -IV samples were higher than in well differentiated stage-I and moderately differentiated stage-II samples (Additional File 4).
Glycolysis- and hypoxia-associated gene expressions in the peripheral blood specimens of 100 CRC patients
We used mRNA membrane array to explore gene expression profiles in CRC peripheral blood specimens. The highest overexpressed gene of the glycolysis-pathway-associated genes, GLUT1, and five hypoxia-associated genes (i.e., CA9, CA12, COX-2, HIF-1α, and HIF-2α) were detected in the present study. The overexpression rates of all five genes were higher than 90% in human CRC tissue samples. The correlation between mRNA expressions and clinicopathological features of CRC patients are shown in Additional File 5.
No statistical correlations between CA9, CA12, COX-2, HIF-1α, and HIF-2α overexpression and age or sex (P > 0.05; Additional File 5) were found. However, advanced cancer stage was significantly related to GLUT1 overexpression (P = 0.004). The GLUT1 overexpression rates for UICC stage I, II and III were 33.3%, 85.9% and 86.5%, respectively. The risk of GLUT1 overexpression was higher in stage II and III than in stage I (RR: 12.482; P = 0.001).
Colorectal cancer (CRC) is a leading cause of morbidity and mortality in Europe and the United States [26–28]. As several investigators have reported, approximately 40% to 50% of CRC patients who undergo a supposedly curative resection, subsequently develop metastatic disease and die of their disease within 5 years [29, 30]. Despite the efforts to clarify the correlation between CRC prognosis and gene expression by previous investigators, the results have been equivocal [31, 32].
Hypoxia has a strong influence on the metabolism of cells and, as a consequence, on the physiology and vasculature of solid tumors. One key regulator of hypoxia – the transcription factor HIF-1 – has been shown to be involved in the up-regulation of many genes which are involved in erythropoiesis, angiogenesis, glycolysis, glucose transport, and several other functions [33, 34]. Apart from activating HIF-1, hypoxia stimulates a great variety of cellular responses. Many signaling pathways that are deregulated in cancer promote HIF-1 activity.
The main objective of this study was to discover a molecular marker that could be used to assess the hypoxia level of peripheral circulating cancer cells in the blood specimens of cancer patients by a well-established membrane array method [22, 25, 35]. The mRNA markers employed included seven glycolysis-associated genes (i.e., HK1, GPI, PGK1, PGK2, ENO2, PKM2, and GLUT1) and nine hypoxia-associated genes (i.e., uPA, CA9, CA12, TP, bFGF, COX-2, HIF-1α, HIF-2α, and VEGF). The data obtained revealed that HIF-1α and HIF-2α are the predominant overexpressed hypoxia-associated genes found in CRC tissues. There was 100% mRNA overexpression of GLUT1 gene in our human CRC specimens that paralleled the hypoxic mRNA overexpression (HIF-1α). GLUT1 gene was the significant up-regulated glycolysis-associated gene in hypoxic CRC cells.
Malignant cells are known to have accelerated metabolism, high glucose requirements, and increased glucose uptake. Although several studies have demonstrated that cancer cells have increased glycolytic activity in many malignant diseases in vivo and in vitro [36–39], participation of the glycolytic pathway and glycolysis-associated genes in tumorigenesis of human CRC has yet to be elucidated. In our study, we concluded that hypoxia can stimulate glycolysis of CRC cells. The relative lactate concentration under hypoxic conditions is 3.24- to 3.36-fold elevated in SW480 cells, and 3.06- to 3.17-fold in SW620 cells when compared with normoxic conditions, observed up to 48 h.
Of late, interest in glucose uptake by tumor cells has increased. Facilitative glucose transporters (GLUTs) allow the energy-independent transport of glucose across the hydrophobic cell membrane, downwards along its concentration gradient. Each of the glucose transporter proteins possesses different affinities for glucose and other hexoses, such as fructose. GLUT1, GLUT3, and GLUT4 have a high affinity for glucose, allowing transport of glucose at a high rate under normal physiological conditions [40, 41]. GLUT1 is present at variable levels in many tissues and is believed to be responsible for basal glucose uptake [42, 43]. We performed RT-PCR analysis of HIF-1α and GLUT1 mRNA expressions in SW480 and SW620 CRC cell lines. The relative expression ratio of HIF-1α mRNA and GLUT1 mRNA in hypoxic conditions was higher than in normoxic conditions. In the hypoxic condition, HIF-1α mRNA expression ratio were 1.26- to 2.63-fold elevated in SW480 cells and 1.43- to 3.32-fold higher in SW620 cells. GLUT1 mRNA expression ratios were similarly proportional to the hypoxic conditions with 1.24- to 1.66-fold elevation in SW480 cells and 1.39- to 1.72-fold elevation in SW620 cells. SW480 and SW620 represented the two human colorectal adenocarcinoma cell lines of UICC II and UICC III, respectively. We found that GLUT1 mRNA expression could be stimulated by hypoxia, and the expression is more predominant in the advanced CRC cell lines (UICC III) in vitro. Malignant cells exhibit increased glycolytic metabolism. Warburg first established a correlation between aggressive tumor phenotypes and elevated glycolysis when he observed that many tumors produce excessive lactate in the presence of oxygen . Previous reports observed that suppression of facilitative GLUT1 mRNA could suppress the growth of gastric cancer cell line (MKN45) . Thus, an increased uptake of glucose provides energy to enhance cell synthesis. This might be an important aspect of malignant transformation and uncontrolled cell growth.
GLUT1 expression was also elevated in other tumor entities. In 2007, Shao et al. suggested that the abnormal expression of GLUT1 may perhaps participate in serous ovarian tumor occurrence and development and may be considered as a marker reflecting tumor malignant behaviour . Bone and soft tissue sarcomas with GLUT1 overexpression showed significantly poor OS compared with those without GLUT1 overexpression (P = 0.029) according to Endo et al. . In 2008, Ciampi et al. reported that GLUT1 and GLUT3 were the most important glucose transporters in the thyroid tumoral cells. In particular, GLUT1 was the most prevalent in less-differentiated cells, while GLUT3 was the most prevalent in well-differentiated cells . HIF-1α was increasingly expressed from early stages through advanced stages of endometrioid adenocarcinoma, paralleled by activation of its downstream genes, such as GLUT1, vascular endothelial growth factor (VEGF) and increased angiogenesis. These results highlight the importance of hypoxia and related pathways in the progression of endometrial carcinoma ; however, there was a contradictory report on the expression of GLUT1 under hypoxic conditions. In a series of studies, Mayer et al.  examined the expression of HIF-1α and GLUT1 in tissue micro-areas where direct O2 measurements had previously been carried out, so that the influence of tumor heterogeneity could be reduced to a minimum. Using this methodology, no correlation between the expression of HIF-1α and GLUT1 and direct pO2 measurements could be found.
Little is known about the details of CRC tumorigenesis. Knowing how to rapidly organize new techniques for exploring the prognosis is a key to providing physicians with the information needed for further intervention. In the present study, we found GLUT1 mRNA expression in the peripheral blood of CRC patients. Advanced cancer stage was significantly related to GLUT1 overexpression (P = 0.004), the risk of which was higher in stages II and III than in stage I (RR: 12.482; P = 0.001). GLUT1 overexpression in the blood also correlated with advanced tumor stages. The GLUT1 overexpression rates for stages I, II and III were 33.3%, 85.9% and 86.5%, respectively. This finding suggests that GLUT1 may be a stage-related marker that could be determined by a non-invasive method. However, the low number of patients in stage I would be over-interpreted according to the significant P value of GLUT1 in Additional File 5. The additional glycolysis- and hypoxia-associated gene expression data obtained from peripheral blood showed that no statistical correlations existed between CA9, CA12, COX-2, HIF-1α, and HIF-2α overexpression and age or sex (P > 0.05). In 2008, Nguyen et al. found that high correlations between the primary tumours and metastatic lymph nodes in non-small-cell lung cancer patients and the GLUT1 mediated fluorodeoxyglucose (FDG) uptake may be useful for mediastinal lymph nodes discrimination by fluorodeoxyglucose positron emission tomography (FDG-PET). It might be possible to combine GLUT1 with other new image diagnostic techniques (e.g., FDG-PET) to interpret the clinical condition of tumours .
In conclusion, the levels of HIF-1α, HIF-2α, and the GLUT1 genes were significantly overexpressed in CRC tissue specimens, and the elevated ratio of GLUT1 was greater in stage-III and -IV CRC tissue specimens than in stage-I and -II specimens. The GLUT1 mRNA was also more increased in the peripheral blood of stages-II and -III CRC patients than in stage-I patients. The overexpression ratio of GLUT1 gene is higher in poorly differentiated stage-III and -IV human CRC specimens. We postulate that the overexpression of GLUT1 may play an important role in the tumour progression of CRC. GLUT1 should be considered to have potential carcinogenesis potency in advanced human CRC. In further studies, GLUT1 expression should be investigated as a useful target for therapeutic intervention. Future research will use this molecular marker to identify those cancer patients who would respond best to radiation therapy and chemotherapy, thereby improving the clinical treatment outcome.
This study was supported by the NSC 96-2320-B-037-013-MY3 grant from the National Science Council of the Republic of China. We are grateful to Gene Target Technology Co. LTD. for their office assistance.
- Coleman CN: Modulating the radiation response. Stem Cells. 1996, 14 (1): 10-15.View ArticlePubMedGoogle Scholar
- Tredan O, Galmarini CM, Patel K, Tannock IF: Drug resistance and the solid tumor microenvironment. J Natl Cancer Inst. 2007, 99 (19): 1441-1454.View ArticlePubMedGoogle Scholar
- Brizel DM, Scully SP, Harrelson JM, Layfield LJ, Bean JM, Prosnitz LR, Dewhirst MW: Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma. Cancer Res. 1996, 56 (5): 941-943.PubMedGoogle Scholar
- Tatum JL, Kelloff GJ, Gillies RJ, Arbeit JM, Brown JM, Chao KS, Chapman JD, Eckelman WC, Fyles AW, Giaccia AJ, et al: Hypoxia: importance in tumor biology, noninvasive measurement by imaging, and value of its measurement in the management of cancer therapy. Int J Radiat Biol. 2006, 82 (10): 699-757.View ArticlePubMedGoogle Scholar
- Birner P, Schindl M, Obermair A, Plank C, Breitenecker G, Oberhuber G: Overexpression of hypoxia-inducible factor 1alpha is a marker for an unfavorable prognosis in early-stage invasive cervical cancer. Cancer Res. 2000, 60 (17): 4693-4696.PubMedGoogle Scholar
- Le QT, Kong C, Lavori PW, O'Byrne K, Erler JT, Huang X, Chen Y, Cao H, Tibshirani R, Denko N, et al: Expression and prognostic significance of a panel of tissue hypoxia markers in head-and-neck squamous cell carcinomas. Int J Radiat Oncol Biol Phys. 2007, 69 (1): 167-175.View ArticlePubMedGoogle Scholar
- Movsas B, Chapman JD, Hanlon AL, Horwitz EM, Greenberg RE, Stobbe C, Hanks GE, Pollack A: Hypoxic prostate/muscle pO2 ratio predicts for biochemical failure in patients with prostate cancer: preliminary findings. Urology. 2002, 60 (4): 634-639.View ArticlePubMedGoogle Scholar
- Yoshimura H, Dhar DK, Kohno H, Kubota H, Fujii T, Ueda S, Kinugasa S, Tachibana M, Nagasue N: Prognostic impact of hypoxia-inducible factors 1alpha and 2alpha in colorectal cancer patients: correlation with tumor angiogenesis and cyclooxygenase-2 expression. Clin Cancer Res. 2004, 10 (24): 8554-8560.View ArticlePubMedGoogle Scholar
- Hockel M, Knoop C, Schlenger K, Vorndran B, Baussmann E, Mitze M, Knapstein PG, Vaupel P: Intratumoral pO2 predicts survival in advanced cancer of the uterine cervix. Radiother Oncol. 1993, 26 (1): 45-50.View ArticlePubMedGoogle Scholar
- Vaupel P, Hockel M, Mayer A: Detection and characterization of tumor hypoxia using pO2 histography. Antioxid Redox Signal. 2007, 9 (8): 1221-1235.View ArticlePubMedGoogle Scholar
- Auer F, Roper B, Scheich D, Molls M, Eiermann W, Raab G: Technical improvement of pO(2) measurements in breast cancer: investigation of the feasibility in patients and in vitro validation of the method. Strahlenther Onkol. 2007, 183 (5): 265-270.View ArticlePubMedGoogle Scholar
- Jankovic B, Aquino-Parsons C, Raleigh JA, Stanbridge EJ, Durand RE, Banath JP, MacPhail SH, Olive PL: Comparison between pimonidazole binding, oxygen electrode measurements, and expression of endogenous hypoxia markers in cancer of the uterine cervix. Cytometry B Clin Cytom. 2006, 70 (2): 45-55.View ArticlePubMedGoogle Scholar
- Terpstra M, High WB, Luo Y, de Graaf RA, Merkle H, Garwood M: Relationships among lactate concentration, blood flow and histopathologic profiles in rat C6 glioma. NMR Biomed. 1996, 9 (5): 185-194.View ArticlePubMedGoogle Scholar
- Quintero M, Mackenzie N, Brennan PA: Hypoxia-inducible factor 1 (HIF-1) in cancer. Eur J Surg Oncol. 2004, 30 (5): 465-468.View ArticlePubMedGoogle Scholar
- Herszenyi L, Farinati F, Cardin R, Istvan G, Molnar LD, Hritz I, De Paoli M, Plebani M, Tulassay Z: Tumor marker utility and prognostic relevance of cathepsin B, cathepsin L, urokinase-type plasminogen activator, plasminogen activator inhibitor type-1, CEA and CA 19-9 in colorectal cancer. BMC Cancer. 2008, 8: 194-View ArticlePubMedPubMed CentralGoogle Scholar
- Li M, Li JY, Zhao AL, He JS, Zhou LX, Li YA, Gu J: Comparison of Carcinoembryonic Antigen (CEA) Prognostic Value in Serum and Tumor Tissue of Patients with Colorectal Cancer. Colorectal Dis. 2009, 11 (3): 276-281.View ArticlePubMedPubMed CentralGoogle Scholar
- de Geus-Oei LF, van Laarhoven HW, Visser EP, Hermsen R, van Hoorn BA, Kamm YJ, Krabbe PF, Corstens FH, Punt CJ, Oyen WJ: Chemotherapy response evaluation with FDG-PET in patients with colorectal cancer. Ann Oncol. 2008, 19 (2): 348-352.View ArticlePubMedGoogle Scholar
- Shin SS, Jeong YY, Min JJ, Kim HR, Chung TW, Kang HK: Preoperative staging of colorectal cancer: CT vs. integrated FDG PET/CT. Abdom Imaging. 2008, 33 (3): 270-277.View ArticlePubMedGoogle Scholar
- Weidner N, Carroll PR, Flax J, Blumenfeld W, Folkman J: Tumor angiogenesis correlates with metastasis in invasive prostate carcinoma. Am J Pathol. 1993, 143 (2): 401-409.PubMedPubMed CentralGoogle Scholar
- Chang YS, di Tomaso E, McDonald DM, Jones R, Jain RK, Munn LL: Mosaic blood vessels in tumors: frequency of cancer cells in contact with flowing blood. Proc Natl Acad Sci USA. 2000, 97 (26): 14608-14613.View ArticlePubMedPubMed CentralGoogle Scholar
- Chomczynski P, Sacchi N: Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem. 1987, 162 (1): 156-159.View ArticlePubMedGoogle Scholar
- Yeh CS, Wang JY, Wu CH, Chong IW, Chung FY, Wang YH, Yu YP, Lin SR: Molecular detection of circulating cancer cells in the peripheral blood of patients with colorectal cancer by using membrane array with a multiple mRNA marker panel. Int J Oncol. 2006, 28 (2): 411-420.PubMedGoogle Scholar
- Wang JY, Yeh CS, Chen YF, Wu CH, Hsieh JS, Huang TJ, Huang SY, Lin SR: Development and evaluation of a colorimetric membrane-array method for the detection of circulating tumor cells in the peripheral blood of Taiwanese patients with colorectal cancer. Int J Mol Med. 2006, 17 (5): 737-747.PubMedGoogle Scholar
- Chen YF, Shin SJ, Lin SR: Ets1 was significantly activated by ERK1/2 in mutant K-ras stably transfected human adrenocortical cells. DNA Cell Biol. 2005, 24 (2): 126-132.View ArticlePubMedGoogle Scholar
- Chen YF, Wang JY, Wu CH, Chen FM, Cheng TL, Lin SR: Detection of circulating cancer cells with K-ras oncogene using membrane array. Cancer Lett. 2005, 229 (1): 115-122.View ArticlePubMedGoogle Scholar
- Brenes GA, Paskett ED: Predictors of stage of adoption for colorectal cancer screening. Prev Med. 2000, 31 (4): 410-416.View ArticlePubMedGoogle Scholar
- Parkin DM: Global cancer statistics in the year 2000. Lancet Oncol. 2001, 2 (9): 533-543.View ArticlePubMedGoogle Scholar
- Ghafoor A, Jemal A, Cokkinides V, Cardinez C, Murray T, Samuels A, Thun MJ: Cancer statistics for African Americans. CA Cancer J Clin. 2002, 52 (6): 326-341.View ArticlePubMedGoogle Scholar
- Pohl C, Hombach A, Kruis W: Chronic inflammatory bowel disease and cancer. Hepatogastroenterology. 2000, 47 (31): 57-70.PubMedGoogle Scholar
- Greenlee RT, Murray T, Bolden S, Wingo PA: Cancer statistics, 2000. CA Cancer J Clin. 2000, 50 (1): 7-33.View ArticlePubMedGoogle Scholar
- Komuta K, Koji T, Izumi S, Matsumoto T, Kohara N, Motojima K, Kanematsu T, Nakane PK: Expression of epidermal growth factor receptor messenger RNA in human colorectal carcinomas assessed by non-radioactive in-situ hybridization. Eur J Surg Oncol. 1995, 21 (3): 269-275.View ArticlePubMedGoogle Scholar
- Kapitanovic S, Radosevic S, Kapitanovic M, Andelinovic S, Ferencic Z, Tavassoli M, Primorac D, Sonicki Z, Spaventi S, Pavelic K, et al: The expression of p185(HER-2/neu) correlates with the stage of disease and survival in colorectal cancer. Gastroenterology. 1997, 112 (4): 1103-1113.View ArticlePubMedGoogle Scholar
- Wenger RH: Mammalian oxygen sensing, signalling and gene regulation. J Exp Biol. 2000, 203 (Pt 8): 1253-1263.PubMedGoogle Scholar
- Iyer NV, Kotch LE, Agani F, Leung SW, Laughner E, Wenger RH, Gassmann M, Gearhart JD, Lawler AM, Yu AY, et al: Cellular and developmental control of O2 homeostasis by hypoxia-inducible factor 1 alpha. Genes Dev. 1998, 12 (2): 149-162.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen CC, Hou MF, Wang JY, Chang TW, Lai DY, Chen YF, Hung SY, Lin SR: Simultaneous detection of multiple mRNA markers CK19, CEA, c-Met, Her2/neu and hMAM with membrane array, an innovative technique with a great potential for breast cancer diagnosis. Cancer Lett. 2006, 240 (2): 279-288.View ArticlePubMedGoogle Scholar
- Dang CV, Semenza GL: Oncogenic alterations of metabolism. Trends Biochem Sci. 1999, 24 (2): 68-72.View ArticlePubMedGoogle Scholar
- Pedersen PL: Tumor mitochondria and the bioenergetics of cancer cells. Prog Exp Tumor Res. 1978, 22: 190-274.View ArticlePubMedGoogle Scholar
- Weinhouse S: Glycolysis, respiration, and anomalous gene expression in experimental hepatomas: G.H.A. Clowes memorial lecture. Cancer Res. 1972, 32 (10): 2007-2016.PubMedGoogle Scholar
- Burk D, Woods M, Hunter J: On the significance of glucolysis for cancer growth, with special reference to Morris rat hepatomas. J Natl Cancer Inst. 1967, 38 (6): 839-863.PubMedGoogle Scholar
- Keller K, Strube M, Mueckler M: Functional expression of the human HepG2 and rat adipocyte glucose transporters in Xenopus oocytes. Comparison of kinetic parameters. J Biol Chem. 1989, 264 (32): 18884-18889.PubMedGoogle Scholar
- 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 (21): 14523-14526.PubMedGoogle Scholar
- Birnbaum MJ, Haspel HC, Rosen OM: Cloning and characterization of a cDNA encoding the rat brain glucose-transporter protein. Proc Natl Acad Sci USA. 1986, 83 (16): 5784-5788.View ArticlePubMedPubMed CentralGoogle Scholar
- Fukumoto H, Seino S, Imura H, Seino Y, Bell GI: Characterization and expression of human HepG2/erythrocyte glucose-transporter gene. Diabetes. 1988, 37 (5): 657-661.View ArticlePubMedGoogle Scholar
- Warburg O: [Origin of cancer cells]. Oncologia. 1956, 9 (2): 75-83.View ArticlePubMedGoogle Scholar
- Noguchi Y, Saito A, Miyagi Y, Yamanaka S, Marat D, Doi C, Yoshikawa T, Tsuburaya A, Ito T, Satoh S: Suppression of facilitative glucose transporter 1 mRNA can suppress tumor growth. Cancer Lett. 2000, 154 (2): 175-182.View ArticlePubMedGoogle Scholar
- Shao SL, Cai Y, Wang QH, Yan LJ, Zhao XY, Wang LX: [Expression of GLUT-1, p63 and DNA-Pkcs in serous ovarian tumors and their significance]. Zhonghua Zhong Liu Za Zhi. 2007, 29 (9): 697-700.PubMedGoogle Scholar
- Endo M, Tateishi U, Seki K, Yamaguchi U, Nakatani F, Kawai A, Chuman H, Beppu Y: Prognostic implications of glucose transporter protein-1 (glut-1) overexpression in bone and soft-tissue sarcomas. Jpn J Clin Oncol. 2007, 37 (12): 955-960.View ArticlePubMedGoogle Scholar
- Ciampi R, Vivaldi A, Romei C, Del Guerra A, Salvadori P, Cosci B, Pinchera A, Elisei R: Expression analysis of facilitative glucose transporters (GLUTs) in human thyroid carcinoma cell lines and primary tumors. Mol Cell Endocrinol. 2008, 291 (1–2): 57-62.View ArticlePubMedGoogle Scholar
- Ozbudak IH, Karaveli S, Simsek T, Erdogan G, Pestereli E: Neoangiogenesis and expression of hypoxia-inducible factor 1alpha, vascular endothelial growth factor, and glucose transporter-1 in endometrioid type endometrium adenocarcinomas. Gynecol Oncol. 2008, 108 (3): 603-608.View ArticlePubMedGoogle Scholar
- Mayer A, Hockel M, Vaupel P: Endogenous hypoxia markers: case not proven!. Adv Exp Med Biol. 2008, 614: 127-136.View ArticlePubMedGoogle Scholar
- Nguyen XC, So Y, Chung JH, Lee WW, Park SY, Kim SE: High correlations between primary tumours and loco-regional metastatic lymph nodes in non-small-cell lung cancer with respect to glucose transporter type 1-mediated 2-deoxy-2-F18-fluoro-D-glucose uptake. Eur J Cancer. 2008, 44 (5): 692-698.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2407/9/241/prepub
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