Open Access

Prognostic impact of the combination of HIF‑1α and GLUT1 in patients with oesophageal squamous cell carcinoma

  • Authors:
    • Hanjie Yi
    • Yongqin Han
    • Qin Li
    • Runduan Lin
    • Jia Zhang
    • Yun Yang
    • Xueping Wang
    • Lin Zhang
  • View Affiliations

  • Published online on: July 31, 2023     https://doi.org/10.3892/ol.2023.13990
  • Article Number: 404
  • Copyright: © Yi et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Oesophageal squamous cell carcinoma (ESCC) is a common type of carcinoma. Hypoxia is associated with chemo‑ and radio‑resistance, which may lead to a poor prognosis. Hypoxia‑inducible factor‑1α (HIF‑1α) is the main transcriptional regulator of the cellular response to low oxygen levels. Moreover, it can trigger the expression of critical genes, including glucose transporter protein type 1 (GLUT1). The aim of the present study was to evaluate the roles of HIF‑1α and GLUT1 in ESCC and their usefulness as prognostic markers. HIF‑1α and GLUT1 were measured in four ESCC cell lines, namely Eca109, KYSE150, TE‑1 and TE‑10, by western blotting following culture under normoxic and hypoxic conditions. In addition, xenograft tumors were established in mice using normoxic and hypoxic Eca109 cells and the chemosensitivity of the xenografts to 5‑fluorouracil (5‑FU) was evaluated. Furthermore, HIF‑1α and GLUT1 were analysed by immunochemistry in the tumor tissues of patients with ESCC and the associations of their expression levels with clinicopathological parameters were investigated. The results revealed that HIF‑1α and GLUT1 protein expression was weak in all four cell lines under a normoxic atmosphere but increased following culture in a hypoxic environment. In vivo, 5‑FU inhibited tumor growth more strongly in normoxic Eca109 xenografts than hypoxic Eca109 xenografts. Higher levels of apoptosis were also detected in the normoxic Eca109 xenografts via western blotting and TUNEL analysis. In patients with ESCC, HIF‑1α expression was associated with advanced ESCC while GLUT1 expression was associated with the sex of the patients. Multivariate analysis demonstrated that HIF‑1α and GLUT1 were negatively associated with progression‑free survival (PFS) and overall survival (OS). Additionally, a combination of HIF‑1α and GLUT1 expression was a predictor of RFS and OS in patients with ESCC without lymph node metastasis but not those with lymph node metastasis. The study demonstrated that HIF‑1α and GLUT1 were strongly expressed in vitro and in xenograft models when cells were exposed to hypoxia. The simultaneous high expression of HIF‑1α and GLUT1 was associated with poorer survival, and may play an important role in ESCC chemoresistance and the prognosis of ESCC.

Introduction

Oesophageal cancer (EC) was the fourth most common type of cancer in China in 2015 and the sixth most frequent cause of cancer-associated death worldwide (1). Squamous cell carcinoma is the main histopathological type of EC in Asia, particularly in China, and its five-year overall survival (OS) rate is <10% (2).

Hypoxia-inducible factor-1α (HIF-1α) plays a key role in the maintenance of human oxygen homeostasis. Its expression increases in a hypoxic atmosphere and is maintained at a normal level in a normoxic atmosphere. The overexpression of HIF-1α has been shown to cause the transcription of certain genes associated with angiogenesis, cell proliferation and glucose metabolism (3,4). Upregulated expression of HIF-1α has been detected in various cancers, including brain, breast and uterine cancers (5). Hypoxic conditions are known to be common in cancers. HIF-1α is critical for glucose uptake and glycolysis; Glucose transporter 1 (GLUT1) is upregulated during glycolysis and regulated by HIF-1α (6). The upregulation of GLUT1 may be an important mechanism by which cancer cells increase glucose intake and compensate for the lack of energy triggered by hypoxia (7,8). Hypoxia plays a major role in radio- and chemoresistance, which may lead to a poor prognosis for patients (9). The association between the expression of GLUT1 and the prognosis of patients with various cancers has been investigated previously. Specifically, several studies have shown that the high expression of GLUT1 protein in tumors is associated with poor survival in patients with various tumors, including, lung, breast and liver cancer (1013). However, there have been few reports on HIF-1α and GLUT1 in oesophageal squamous cell carcinoma (ESCC) and their association with the prognosis of patients with ESCC (14).

In the present study, the in vitro and in vivo expression levels of HIF-1α and GLUT1 under hypoxic or normoxic conditions were investigated and compared. In addition, the associations between the expression levels of HIF-1α and GLUT1 and chemoresistance were evaluated in vivo. Furthermore, the relationships between HIF-1α and GLUT1 and the prognosis of ESCC were also analysed.

Materials and methods

Cell lines

The Eca109, Kyse150, TE-1 and TE-10 human ESCC cell lines were confirmed by cell morphology and genomic short tandem repeats. All cell lines were incubated in RPMI-1640 with 10% foetal bovine serum (Yeasen Biotech Co., Ltd.) and 1% penicillin-streptomycin (Invitrogen, USA) at 37°C in a humidified atmosphere with 5% CO2. In the hypoxic experiments, the cells were treated with 150 µM CoCl2 for 24 h at 37°C and then cultured in a humidified atmosphere with 5% CO2 at 37°C.

Western blot analysis

All cell lines were separately cultured under normoxic and hypoxic conditions. Cell lysates were collected. Proteins extracted from mouse tumor tissues (80 µg) were analyzed using western blotting. Samples of tissue and cells were homogenized in radioimmunoprecipitation buffer containing a protease inhibitor cocktail (Roche Applied Science). The protein concentration was determined using a bicinchoninic acid kit (Beyotime Institute of Biotechnology). A total of 50 µg of protein per lane were resolved on 10% SDS-PAGE gels and transferred to PVDF membranes (Roche Diagnostics). Membranes were blocked using 5% skimmed milk for 1 h at room temperature. The membranes were incubated at 4°C with primary antibodies targeting HIF-1α (1:1,000; cat. no. sc-13515; Santa Cruz Biotechnology), GLUT1 (1:1,000; cat. no. sc-377228; Santa Cruz Biotechnology), cleaved caspase 3 (1:1,000; cat. no. ab2302; Abcam), H2A histone family member X (H2AX) (1:1,000; cat. no. sc-517336; Santa Cruz Biotechnology), phosphorylated H2AX (γH2AX) (1:100; cat. no. A0264; ABclonal Biotech Co., Ltd.) and GAPDH (1:1,000; cat. no. sc-47724 Santa Cruz Biotechnology). Next day, secondary antibody (goat anti-rabbit; cat. no. SC2004; Santa Cruz Biotechnology) was applied for 2 h at room temperature. The Clarity Western ECL substrate (Bio-Rad Laboratories, Inc.) was used to detect the antigen-antibody complexes.

Patient characteristics

A total of 157 tissue specimens from patients with ESCC were collected from the Cancer Center of Sun Yat-Sen University between January 2012 and December 2014. All patients were histologically confirmed to have ESCC before surgery and received surgery without radiation or chemotherapy. The clinical information of the patients is presented in Table I. The median age of the patients was 61.75 years (range, 35–90 years). There were 125 males and 32 females; 78 cases had TNM stage I and II tumors, and 79 cases had TNM stage III and IV tumors according to the TNM staging system of the World Health Organization published in 2002 (15).

Table I.

Clinical characteristic of 157 patients with oesophageal squamous cell carcinoma.

Table I.

Clinical characteristic of 157 patients with oesophageal squamous cell carcinoma.

CharacteristicsN (%)
Total cases157
Age (years)
  Median61.75
  Range35-90
Sex
  Male125 (79.6)
  Female32 (20.4)
Degree of differentiation
  G148 (30.6)
  G269 (43.9)
  G340 (25.5)
Tumor status
  T112 (7.6)
  T242 (26.8)
  T398 (62.4)
  T45 (3.2)
Lymph node status
  N084 (53.5)
  N173 (46.5)
Distant metastasis status
  M0149 (94.9)
  M18 (5.1)
TNM stage
  I10 (6.4)
  II68 (43.3)
  III71 (45.2)
  IV8 (5.1)
Death
  No42 (26.8)
  Yes115 (73.2)
Xenograft tumor models

A total of 16 male 6–8-week-old BALB/c-nude mice (20–25 g) were provided by Beijing Vital River Laboratory Technology Co., Ltd. The animals were housed in the Laboratory Animal Center of Sun Yat-Sen University at 21°C with 50% relative humidity and a 12 h light/dark cycle. The animal experimentation ethics committee of Sun Yat-Sen University approved the animal experimentation protocol (L201501054). The animals were assigned to two groups: Normoxia Eca109 and hypoxia Eca109 (n=8/group). Hypoxic and normoxic Eca109 cells (2×106) were each combined with Matrigel in a 1:5 ratio and subcutaneously inoculated into the right infra-axillary area of the BALB/c nude mice in the respective group. When the volumes of the tumours reached 200–300 mm3, treatment with 5-fluorouracil (5-FU) by intraperitoneal injection was initiated, using a dosage of 20 mg/kg twice a week for 2 weeks. The mice were anesthetized using 1% pentobarbital sodium (50 mg/kg of body weight) during the intraperitoneal injection. The mice were sacrificed by CO2 inhalation using a 30% vol/min air displacement rate when they met any of the humane endpoint criteria, namely severe tumor burden (tumor size >1,500 mm3), prostration, significant body weight loss, difficulty breathing, rotational motion and body temperature drop. The volume of the xenograft tumor and the body weight of each mouse were recorded twice a week. The tumor volumes were calculated using the following formula: Volume (mm3)=1/2 × (length × width2). The maximum tumor diameter measured in this experiment did not exceed 17 mm.

Immunohistochemical (IHC) staining

The IHC analysis of HIF-1α and GLUT1 was performed using 4-µm formalin-fixed paraffin-embedded sections of the patient tumor specimens. The sections underwent deparaffinization using xylene, followed by hydration with a decreasing ethanol series. To quench endogenous peroxidases, the sections were immersed in Dako REAL peroxidase blocking solution (Agilent Technologies) for 5 min at room temperature and then rinsed in PBS for 1 min using a magnetic stirrer. Staining was performed overnight at 4°C using GLUT-1 and HIF-1α mouse/rabbit polyclonal antibodies (1:100; cat. nos. ab8366 and ab252403; Abcam). Subsequently, the slides were washed three times for 5 min each with PBS containing 0.2% Triton. The sections were then incubated with a horseradish peroxidase-conjugated rabbit anti-mouse Ig antibody or goat anti-rabbit IgG antibody (1:100; cat. nos. ab6728 and ab288151; Abcam, USA) at room temperature for 1 h, followed by DAB staining at room temperature for 15 min. Finally, hematoxylin was applied as a counterstain at room temperature for 10 min. The sections were imaged using a Leica microscope (Leica Microsystems GmbH). When evaluating HIF-1α expression, homogenously and darkly stained nuclei and >1% positive nuclei were considered positive. GLUT1 was considered as positive when membrane staining was observed in >1% of the cells. The immunohistochemically stained slides were scanned, imaged and digitized using a Panoramic Midi digital slide scanner (3DHISTECH Ltd.). Panoramic Viewer software (version 1.15.2; 3DHISTECH Ltd.) was used to analyse the data. The IHC scores of HIF-1α and GLUT1 expression were determined by a semi-quantitative method according to the percentage and intensity of positively stained cells (15). The positive staining was scored as follows: 0, <5% positively stained cells; 1, 5–24% positively stained cells; 2, 25–49% positively stained cells; 3, 50–74% positively stained cells; and 4, 75–100% positively stained cells. The intensity was scored as follows: 0, negative staining; 1, weak staining; 2, moderate staining; and 3, strong staining. The final score was generated by multiplying the percentage score by the staining intensity score. Two independent observers blindly evaluated the IHC scores of HIF-1α and GLUT1 expression in all specimens, and the mean values were calculated. The cut-off value for high HIF-1α and GLUT1 expression was determined based on the median IHC score, and high HIF-1α and GLUT1 expression was defined as an IHC score greater than the cut-off value.

In situ TUNEL staining

An In Situ Cell Death Detection Kit (Roche Diagnostics GmbH) was used to perform TUNEL staining of the mouse xenograft tissues. The deparaffinized sections were treated with Proteinase K solution without DNase I (Sigma-Aldrich; Merck KGaA) at 37°C for 30 min. The slices were then exposed to terminal deoxynucleotidyl transferase (TdT) equilibration buffer, recombinant TdT enzyme and fluorescein isothiocyanate (FITC)-dUTP Labeling Mix. This reaction processed for 60 min at 37°C in the dark. The slices were washed twice with 1× PBS and then incubated with DAPI (Beyotime Institute of Biotechnology) for 5–10 min at room temperature after the reaction was stopped using 50 ml of 1× TdT Stop Buffer at room temperature for 5 min. The labelling solution alone was used to incubate sections as negative controls. Fluorescent images were captured using an Olympus BX51 microscope. Twenty-six microscopic fields were examined for each sample.

Statistical analysis

Each experiment was performed in triplicate, at least three times. Analyses were performed using SPSS (version 19.0; IBM Corp.). Differences in tumour volume and body weight between mice in the two treatment groups were assessed using unpaired Student's t-tests. The TUNEL results were also evaluated using an unpaired Student's t-test. The associations between clinicopathological features and the expression levels of HIF-1α and GLUT1 were analysed using the Kruskal-Wallis test. Kaplan-Meier curves were assessed using the log-rank test to analyse the relationship of HIF-1α and GLUT1 expression with the clinical prognosis of the patients. Prognostic factors for progression-free survival (PFS) and OS were evaluated by multivariate Cox regression analyses. The relationship between HIF-1α and GLUT1 expression was analysed by Spearman's correlation analysis and a χ2 test. A receiver operating curve analysis was also performed to investigate the sensitivity and specificity of HIF-1α and GLUT1 expression in the prediction of death. A two-tailed P<0.05 was considered to indicate a statistically significant result.

Results

HIF-1α and GLUT1 expression in ESCC cell lines and xenografts derived from cells cultured under a normoxic or hypoxic atmosphere

Western blotting revealed that the expression of HIF-1α and GLUT1 in all four ESCC cell lines cultured with hypoxic stress was increased compared with that of the respective cells cultured under normoxic conditions (Fig. 1A). Subsequently, Eca109 cells cultured under normoxic or hypoxic conditions were used to establish xenografts in nude mice and investigate their chemosensitivity to 5-FU. When compared with the hypoxic Eca109 ×enografts, the normoxic Eca109 ×enografts were more sensitive to 5-FU; the tumor volume in the normoxia Eca109 group was smaller than that in the hypoxia Eca109 group (Fig. 1B). After treatment with 5-FU for 2 weeks, the mean tumor volume in the hypoxia Eca109 group reached ~1,800 mm3 at the time of last measurement, while the tumor volume in the normoxia group was ~750 mm3 at the same time point. A comparable result was observed for tumor weights (Fig. 1C). The levels of HIF-1α and GLUT1 in the two xenograft groups were consistent with those obtained in vitro as revealed by western blotting (Fig. 1D). In addition, the protein levels of cleaved caspase 3 and γH2AX were higher in the normoxia Eca109 ×enograft group compared with the hypoxia Eca109 ×enograft group (Fig. 1D). The percentage of TUNEL positive cells in the normoxia Eca109 ×enograft group was ~25%, which was significantly higher compared with that in the hypoxia Eca109 ×enograft group (5%; Fig. 1E and F). These results indicate that the chemoresistance of the hypoxia Eca109 ×enograft group to 5-FU was increased compared with that of the normoxia Eca109 ×enograft group.

Expression of HIF-1α and GLUT1 in normal and ESCC tissues

To investigate the expression of HIF-1α and GLUT1 protein in ESCC tissues, the expression of HIF-1α and GLUT1 in tumor tissues and matched adjacent tissues was detected using IHC staining. As shown in Fig. 2, the expression of HIF-1α in the tumor tissue was higher than that in the matched adjacent tissue. Similarly, higher expression of GLUT1 was detected in the tumor tissue compared with the adjacent normal tissue.

Relationship between HIF-1α and GLUT1

To determine the relationship between HIF-1α and GLUT1, IHC scores for HIF-1α were compared with those for GLUT1 (Table II; Fig. 3). HIF-1α expression was significantly associated with GLUT1 (Chi-square test, P=0.008; Spearman's r=0.204, P=0.01). The optimal cut-off values for HIF-1α and GLUT1 expression were investigated for sensitivity and specificity in the prediction of death by receiver operating curve analysis (Table III; Fig. 4). Both HIF-1α and GLUT1 had statistically significant areas under the curve (0.689 and 0.648, respectively; P<0.001 and P=0.005, respectively). A high expression level of HIF-1α protein was detected in 51.0% of patients (80/157, cut-off score 4) and a high expression level of GLUT1 was observed in 49.7% of patients (78/157, cut-off score 7).

Table II.

Association between HIF-1α and GLUT1 expression determined by immunohistochemical analysis in patients with oesophageal squamous cell carcinoma.

Table II.

Association between HIF-1α and GLUT1 expression determined by immunohistochemical analysis in patients with oesophageal squamous cell carcinoma.

HIF-1α expression
GLUT1 expression
HighLowTotalP-value
High4632780.008
Low344579
Total8077157

[i] Analyzed using χ2 test. HIF-1α, hypoxia-inducible factor 1α; GLUT1, glucose transporter protein type 1.

Table III.

Optimal cut-off values for high expression of markers in the prediction of death.

Table III.

Optimal cut-off values for high expression of markers in the prediction of death.

Prediction of death

MarkerAUROC (95%CI)P-valueCut-off scoreSensitivity (%)Specificity (%)
HIF-1α0.689 (0.593–0.785)<0.00140.7220.619
GLUT10.646 (0.554–0.739)0.00570.5520.833

[i] HIF-1α, hypoxia-inducible factor 1α; GLUT1, glucose transporter protein type 1; AUROC, area under the receiver operating characteristic curve.

Clinicopathological characteristics and their association with HIF-1α and GLUT1 expression

The associations between the expression levels of HIF-1α and GLUT1 and clinicopathological characteristic were analysed, based on the protein levels of HIF-1α and GLUT1 determined by IHC in the 157 formalin-fixed paraffin-embedded ESCC tissues. The associations between clinicopathological features and the protein expression levels of HIF-1α and GLUT1 are listed in Table IV. High expression levels of HIF-1α protein were found to be significantly associated with advanced ESCC, including tumor status (P=0.007), lymph node status (P=0.011) and clinical TNM stage (P=0.04), but not with age, sex, degree of tumour differentiation and distant metastasis. However, GLUT1 expression levels were only associated with sex (P=0.047), and not with the other clinical pathological features, namely age, degree of differentiation, tumour status, lymph node status, metastasis status and TNM stage.

Table IV.

Association of HIF-1α and GLUT1 expression with the clinicopathological characteristics of patients with oesophageal squamous cell carcinoma.

Table IV.

Association of HIF-1α and GLUT1 expression with the clinicopathological characteristics of patients with oesophageal squamous cell carcinoma.

HIF-1α scoreGLUT1 score


CharacteristicsNMedian (Q1-Q3)P-valueMedian (Q1-Q3)P-value
Sex 0.0960.047
  Male1257.0 (3.5–8.0) 4.0 (2.0–7.0)
  Female324.2 (2.9–8.0) 3.0 (1.0–4.2)
Age (years) 0.705 0.169
  ≥61847.0 (3.4–8.0) 3.0 (1.9–6.0)
  <61736.0 (3.0–8.0) 4.0 (2.0–7.0)
Degree of differentiation 0.139 0.606
  G1487.0 (3.5–8.0) 4.0 (2.4–7.0)
  G2697.0 (3.5–8.5) 3.0 (1.5–7.0)
  G3404.5 (3.0–7.6) 3.5 (2.0–7.2)
Tumor status 0.007 0.218
  T1-2544.0 (3.0–7.4) 3.0 (2.0–6.0)
  T3-41037.0 (3.5–8.5) 4.0 (2.0–7.0)
Lymph node status 0.011 0.576
  N0845.0 (3.0–8.0) 3.5 (2.0–6.2)
  N1737.0 (4.0–8.5) 3.0 (2.0–8.0)
Distant metastasis status 0.776 0.347
  M01497.0 (3.0–8.0) 3.0 (2.0–7.0)
  M186.5 (2.8–9.8) 7.5 (1.8–8.0)
TNM stage 0.040 0.396
  I–II895.0 (3.0–8.0) 3.0 (2.0–6.0)
  III–IV687.0 (3.5–8.5) 3.8 (2.0–8.0)
Relationship between the levels of HIF-1α and GLUT1 protein and the survival of patients with ESCC

The median OS of the 157 patients with ESCC was 25 months (range, 0–133 months). The cumulative 5- and 10-year PFS rates were 28.8 and 22%, respectively, whereas the cumulative 5- and 10-year OS rates were 32.8 and 22.3%, respectively. Fig. 5A and B demonstrate a negative association of HIF-1α expression with PFS and OS (both P<0.001). In addition, a statistically significant negative association was also detected for the expression of GLUT1 with PFS and OS (both P<0.001; Fig. 5C and D). In addition to sex and nodal status, the multivariate Cox analysis indicates that HIF-1α and GLUT1 expression levels are independent unfavourable factors for PFS and OS in patients with ESCC (P<0.05; Table V).

Table V.

Multivariate Cox regression analysis of OS and PFS for 157 patients with oesophageal squamous cell carcinoma.

Table V.

Multivariate Cox regression analysis of OS and PFS for 157 patients with oesophageal squamous cell carcinoma.

OSPFS


VariablesHazard ratio (95% CI)P-valueHazard ratio (95% CI)P-value
Sex (male/female)0.440 (0.250–0.775)0.0030.499 (0.287–0.870)0.014
Age (≥61/<61 years)0.849 (0.580–1.243)0.4010.850 (0.581–1.245)0.405
Degree of differentiation (G1/2/3)1.226 (0.952–1.579)0.1151.250 (0.971–1.609)0.083
Tumor status (T1-2/T3-4)0.735 (0.431–1.254)0.2590.717 (0.423–1.218)0.219
Lymph node status (N0/N1)2.778 (1.440–5.359)0.0022.260 (1.180–4.329)0.014
Distant metastasis status (M0/M1)1.113 (0.435–2.843)0.8231.034 (0.407–5.634)0.943
TNM stage (I–II/III–IV)0.800 (0.556–1.151)0.2280.937 (0.653–1.345)0.725
HIF-1α1.745 (1.177–2.588)0.0061.629 (1.090–2.435)0.017
GLUT12.341 (1.595–3.435)0.0012.114 (1.439–3.105)0.001

[i] OS, overall survival; PFS, progression-free survival; HIF-1α, hypoxia-inducible factor-1α; GLUT1, glucose transporter protein type 1.

Combined expression levels of HIF-1α and GLUT1 and the survival of patients with ESCC

The patients were assigned to four groups, according to whether the HIF-1α and GLUT1 expression levels were low or high. As shown in Fig. 6, the patients with combined low expression levels of HIF-1α and GLUT1 had the longest PFS and OS times compared with those with high expression of HIF-1α and/or GLUT1. Additionally, the patients with high expression levels of HIF-1α and GLUT1 had the shortest PFS and OS times among the four groups. The results presented in Fig. 6 indicate that the combined expression of HIF-1α and GLUT1 is likely to be a marker for prognosis in patients with ESCC. The impact of GLUT1 on PFS and OS may be greater than the effect of HIF-1α. The results also indicate that HIF-1α and GLUT1 are negatively associated with PFS and OS; however, GLUT1 was not compared with HIF-1α in this analysis.

Among the 157 patients with ESCC, there were 84 (53.5) patients without lymph node metastasis and 73 (46.5) patients with lymph node metastasis. Kaplan-Meier survival analysis showed that the combined high expression of HIF-1α and GLUT1 was significantly associated with poor PFS (P<0.001) and OS (P<0.001) in patients with ESCC without lymph node metastasis (Fig. 7A and B), but not with either poor OS (P=0.133) or PFS (P=0.24) in patients with ESCC with lymph node metastasis (Fig. 7C and D). The results indicate that the combined expression of HIF-1α and GLUT1 may be a prognostic marker for patients without lymph node metastasis, but not those with lymph node metastasis.

Discussion

Locally advanced ESCC may be treated using radiotherapy; however, ESCC frequently becomes resistant to radiation (16). The resistance of tumors to radiotherapy and chemotherapy is associated with hypoxia, and HIF-1 serves a major role in the regulation of the adaptive responses of tumors to hypoxic conditions (17). Tumor cells adapt to hypoxia via the activation of various signaling pathways (18,19), such as the Wnt/β-catenin signaling pathway (18) and the p-JNK signaling pathway (20). In addition, HIF-1α contributes to tumor growth and metastasis. Tumor-associated vasculature is poorly organized and hyperpermeable compared with normal blood vessels, which makes effective drug delivery challenging and creates an abnormal microenvironment that causes radio- and chemotherapy to be less effective. The upregulation of HIF-1α and GLUT1 has been shown to be associated with reduced sensitivity to radiotherapy and chemotherapy in numerous solid tumors (21,22). Consistently, the in vivo experiment in the present study demonstrated that the sensitivity of xenografts to 5-FU generated from hypoxic cells was reduced compared with those generated from normoxic cells. However, researchers have demonstrated that anti-angiogenic drugs can normalize the blood vessels of tumors, causing them to be more sensitive to chemotherapy and radiotherapy (23).

HIF-1α activates the glucose transporter GLUT1. The protein expression level of GLUT1 has been reported to be an important biomarker in a number of different cancers, including ESCC, breast cancer and gastric cancer (2426). Furthermore, a review confirmed that GLUT1 is a valid biomarker in various types of solid cancers (27); specifically, it firmly established that the upregulation of GLUT1 is associated with a poor prognosis in patients with solid tumors. GLUT1 is regulated by numerous transcription factors, including HIF-1α, which has been shown to elevate the expression of GLUT1 under a hypoxic atmosphere (28). In the present study, GLUT1 was only found to be associated with sex among the various clinicopathological features that were analyzed. The reason may be that most of the patients were male (125 patients, ~80%), and the expression of GLUT1 may differ between the sexes. The differential expression of GLUT1 between males and females has also been observed in colorectal adenocarcinomas (29).

Previous data also showed that the upregulation of HIF-1α was closely associated with a poor prognosis and chemo-radiation effectiveness in patients with ESCC (30). High levels of HIF-1α have previously been suggested to be a predictive marker of poor prognosis in patients ESCC and to be significantly associated with invasion and metastasis (31). In a hypoxic environment, HIF-1α has been shown to reduce tissue integrity via the loss of E-cadherin, which is considered as a suppressor of invasion and metastasis in numerous cancers (32). The cell basement membrane and extracellular matrix are also undermined by HIF-1α (33). As aforementioned, hypoxia is a common pathological feature in solid tumors, which results from insufficient blood supply and rapid tumor growth (34). Under anoxic and hypoxic conditions, tumor cells produce several different proteins that stimulate cell invasiveness, promote angiogenesis, and result in chemotherapy or radiotherapy resistance (35). The prognostic value of HIF-1α in EC remains unclear. Although a number of studies have shown that the expression level of HIF-1α in tumor cells is closely associated with clinical tumor stage (TNM stage) (32), another study found that HIF-1α was not a significant independent prognostic factor for PFS and OS (33). Although HIF-1α may regulate p53 and VEGF downstream signalling pathway (36,37), the relationships between these factors remain unclear in patients with EC.

Since ESCC is a common pathological type of EC, it is important to identify the clinical significance of HIF-1α and GLUT1 in patients with ESCC as this may improve upon the current prognostic system based on TNM staging. Notably, the present study examined the roles of HIF-1α and GLUT1 in the hypoxic signalling of ESCC by IHC analysis combined with in vivo and in vitro experiments. The correlation between HIF-1α and GLUT1 was confirmed, and both proteins were shown to be associated with the outcomes of patients with ESCC. In addition, only HIF-1α were found to be associated with lymph node metastasis. Furthermore, the results of the multivariate analysis demonstrated that high expression levels of HIF-1α and GLUT1 are prognostic factors that indicate poorer OS and PFS in patients with ESCC.

Further studies of HIF-1α and GLUT1 may focus on their use as targets for therapeutic intervention. In addition, their use as molecular biomarkers to identify the cancer patients who would respond best to radiation therapy and chemotherapy merits further investigation, as it may improve the clinical treatment outcomes of patients with ESCC.

Acknowledgements

Not applicable.

Funding

The present study was supported by the fund of the National Natural Science Foundation of China (grant no. 82003268) and by the Guangdong Province Natural Science Foundation (grant no. 2018A030310260) and by The Science and Technology Plan Project of Jiangxi Provincial Health Commission (grant no. 20203263).

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Authors' contributions

HY and YH performed the main experiments and drafted the manuscript. QL, RL, JZ and YY collected the data and analyzed the statistical analysis. XW and LZ conceived and designed the experiments. HY, YH and LZ confirm the authenticity of all the raw data. All authors read and approved the final version of the manuscript.

Ethics approval and consent to participate

The animal studies were performed under the guidance of Sun Yat-Sen University Committee for Use and Care of Laboratory Animals and approved by the animal experimentation ethics committee of Sun Yat-Sen University (L201501054). The use of clinical materials was performed with the written informed consent of all patients and approved by the Institutional Research Ethics Committee of Sun Yat-Sen University Cancer Center (GZR2015-093).

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Zheng RS, Zhang SW, Sun KX, Chen R, Wang SM, Li L, Zeng HM, Wei WW and He J: Cancer statistics in China, 2016. Zhonghua Zhong Liu Za Zhi. 45:212–220. 2023.(In Chinese). PubMed/NCBI

2 

Kamangar F, Dores GM and Anderson WF: Patterns of cancer incidence, mortality, and prevalence across five continents: Defining priorities to reduce cancer disparities in different geographic regions of the world. J Clin Oncol. 24:2137–2150. 2006. View Article : Google Scholar : PubMed/NCBI

3 

Brahimi-Horn MC, Chiche J and Pouyssegur J: Hypoxia and cancer. J Mol Med (Berl). 85:1301–1307. 2007. View Article : Google Scholar : PubMed/NCBI

4 

Lee JW, Bae SH, Jeong JW, Kim SH and Kim KW: Hypoxia-inducible factor (HIF-1)alpha: Its protein stability and biological functions. Exp Mol Med. 36:1–12. 2004. View Article : Google Scholar : PubMed/NCBI

5 

Chen C, Pore N, Behrooz A, Ismail-Beigi F and Maity A: Regulation of glut1 mRNA by hypoxia-inducible factor-1. Interaction between H-ras and hypoxia. J Biol Chem. 276:9519–9525. 2001. View Article : Google Scholar : PubMed/NCBI

6 

Airley RE and Mobasheri A: Hypoxic regulation of glucose transport, anaerobic metabolism and angiogenesis in cancer: Novel pathways and targets for anticancer therapeutics. Chemotherapy. 53:233–256. 2007. View Article : Google Scholar : PubMed/NCBI

7 

Song K, Li M, Xu XJ, Xuan L, Huang GN, Song XL and Liu QF: HIF-1α and GLUT1 gene expression is associated with chemoresistance of acute myeloid leukemia. Asian Pac J Cancer Prev. 15:1823–1829. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Coleman CN: Modulating the radiation response. Stem Cells. 14:10–15. 1996. View Article : Google Scholar : PubMed/NCBI

9 

Kaira K, Murakami H, Endo M, Ohde Y, Naito T, Kondo H, Nakajima T, Yamamoto N and Takahashi T: Biological correlation of 18F-FDG uptake on PET in pulmonary neuroendocrine tumors. Anticancer Res. 33:4219–4228. 2013.PubMed/NCBI

10 

Chen B, Tang H, Liu X, Liu P, Yang L, Xie X, Ye F, Song C, Xie X and Wei W: miR-22 as a prognostic factor targets glucose transporter protein type 1 in breast cancer. Cancer Lett. 356:410–417. 2015. View Article : Google Scholar : PubMed/NCBI

11 

Kim BW, Cho H, Chung JY, Conway C, Ylaya K, Kim JH and Hewitt SM: Prognostic assessment of hypoxia and metabolic markers in cervical cancer using automated digital image analysis of immunohistochemistry. J Transl Med. 11:1852013. View Article : Google Scholar : PubMed/NCBI

12 

Osugi J, Yamaura T, Muto S, Okabe N, Matsumura Y, Hoshino M, Higuchi M, Suzuki H and Gotoh M: Prognostic impact of the combination of glucose transporter 1 and ATP citrate lyase in node-negative patients with non-small lung cancer. Lung Cancer. 88:310–318. 2015. View Article : Google Scholar : PubMed/NCBI

13 

Tohma T, Okazumi S, Makino H, Cho A, Mochizuki R, Shuto K, Kudo H, Matsubara K, Gunji H, Matsubara H and Ochiai T: Overexpression of glucose transporter 1 in esophageal squamous cell carcinomas: A marker for poor prognosis. Dis Esophagus. 18:185–189. 2005. View Article : Google Scholar : PubMed/NCBI

14 

Chiba I, Ogawa K, Morioka T, Shimoji H, Sunagawa N, Iraha S, Nishimaki T, Yoshimi N and Murayama S: Clinical significance of GLUT-1 expression in patients with esophageal cancer treated with concurrent chemoradiotherapy. Oncol Lett. 2:21–28. 2011. View Article : Google Scholar : PubMed/NCBI

15 

Waters JK and Reznik SI: Update on management of squamous cell esophageal cancer. Curr Oncol Rep. 24:375–385. 2022. View Article : Google Scholar : PubMed/NCBI

16 

He S, Xu J, Liu X and Zhen Y: Advances and challenges in the treatment of esophageal cancer. Acta Pharm Sin B. 11:3379–3392. 2021. View Article : Google Scholar : PubMed/NCBI

17 

Ajduković J: HIF-1-a big chapter in the cancer tale. Exp Oncol. 38:9–12. 2016. View Article : Google Scholar : PubMed/NCBI

18 

Tang K, Toyozumi T, Murakami K, Sakata H, Kano M, Endo S, Matsumoto Y, Suito H, Takahashi M, Sekino N, et al: HIF-1α stimulates the progression of oesophageal squamous cell carcinoma by activating the Wnt/β-catenin signalling pathway. Br J Cancer. 127:474–487. 2022. View Article : Google Scholar : PubMed/NCBI

19 

Dhani N, Fyles A, Hedley D and Milosevic M: The clinical significance of hypoxia in human cancers. Semin Nucl Med. 45:110–121. 2015. View Article : Google Scholar : PubMed/NCBI

20 

Liu H, Zhang Z, Zhou S, Liu X, Li G, Song B and Xu W: Claudin-1/4 as directly target gene of HIF-1α can feedback regulating HIF-1α by PI3K-AKT-mTOR and impact the proliferation of esophageal squamous cell though Rho GTPase and p-JNK pathway. Cancer Gene Ther. 29:665–682. 2022. View Article : Google Scholar : PubMed/NCBI

21 

Moreno-Acosta P, Vallard A, Carrillo S, Gamboa O, Romero-Rojas A, Molano M, Acosta J, Mayorga D, Rancoule C, Garcia MA, et al: Biomarkers of resistance to radiation therapy: A prospective study in cervical carcinoma. Radiat Oncol. 12:1202017. View Article : Google Scholar : PubMed/NCBI

22 

Chen SW, Shen WC, Lin YC, Chen RY, Hsieh TC, Yen KY and Kao CH: Correlation of pretreatment 18F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes. Eur J Nucl Med Mol Imaging. 44:567–580. 2017. View Article : Google Scholar : PubMed/NCBI

23 

Batchelor TT, Sorensen AG, di Tomaso E, Zhang WT, Duda DG, Cohen KS, Kozak KR, Cahill DP, Chen PJ, Zhu M, et al: AZD2171, a pan-VEGF receptor tyrosine kinase inhibitor, normalizes tumor vasculature and alleviates edema in glioblastoma patients. Cancer Cell. 11:83–95. 2007. View Article : Google Scholar : PubMed/NCBI

24 

Yu M, Yongzhi H, Chen S, Luo X, Lin Y, Zhou Y, Jin H, Hou B, Deng Y, Tu L and Jian Z: The prognostic value of GLUT1 in cancers: A systematic review and meta-analysis. Oncotarget. 8:43356–43367. 2017. View Article : Google Scholar : PubMed/NCBI

25 

Carvalho KC, Cunha IW, Rocha RM, Ayala FR, Cajaíba MM, Begnami MD, Vilela RS, Paiva GR, Andrade RG and Soares FA: GLUT1 expression in malignant tumors and its use as an immunodiagnostic marker. Clinics (Sao Paulo). 66:965–972. 2011. View Article : Google Scholar : PubMed/NCBI

26 

Brown RS and Wahl RL: Overexpression of Glut-1 glucose transporter in human breast cancer. An immunohistochemical study. Cancer. 72:2979–2985. 1993. View Article : Google Scholar : PubMed/NCBI

27 

Wang J, Ye C, Chen C, Xiong H, Xie B, Zhou J, Chen Y, Zheng S and Wang L: Glucose transporter GLUT1 expression and clinical outcome in solid tumors: A systematic review and meta-analysis. Oncotarget. 8:16875–16886. 2017. View Article : Google Scholar : PubMed/NCBI

28 

Ping W, Sun W, Zu Y, Chen W and Fu X: Clinicopathological and prognostic significance of hypoxia-inducible factor-1α in esophageal squamous cell carcinoma: A meta-analysis. Tumour Biol. 35:4401–4409. 2014. View Article : Google Scholar : PubMed/NCBI

29 

Jun YJ, Jang SM, Han HL, Lee KH, Jang KS and Paik SS: Clinicopathologic significance of GLUT1 expression and its correlation with Apaf-1 in colorectal adenocarcinomas. World J Gastroenterol. 17:1866–1873. 2011. View Article : Google Scholar : PubMed/NCBI

30 

Sun G, Hu W, Lu Y and Wang Y: A meta-analysis of HIF-1α and esophageal squamous cell carcinoma (ESCC) risk. Pathol Oncol Res. 19:685–693. 2013. View Article : Google Scholar : PubMed/NCBI

31 

Esteban MA, Tran MG, Harten SK, Hill P, Castellanos MC, Chandra A, Raval R, O'brien TS and Maxwell PH: Regulation of E-cadherin expression by VHL and hypoxia-inducible factor. Cancer Res. 66:3567–3575. 2006. View Article : Google Scholar : PubMed/NCBI

32 

Fillies T, Werkmeister R, van Diest PJ, Brandt B, Joos U and Buerger H: HIF1-alpha overexpression indicates a good prognosis in early stage squamous cell carcinomas of the oral floor. BMC Cancer. 5:842005. View Article : Google Scholar : PubMed/NCBI

33 

Shao N, Han Y, Song L and Song W: Clinical significance of hypoxia-inducible factor 1α, and its correlation with p53 and vascular endothelial growth factor expression in resectable esophageal squamous cell carcinoma. J Cancer Res Ther. 16:269–275. 2020. View Article : Google Scholar : PubMed/NCBI

34 

Zimna A and Kurpisz M: Hypoxia-inducible factor-1 in physiological and pathophysiological angiogenesis: Applications and therapies. Biomed Res Int. 2015:5494122015. View Article : Google Scholar : PubMed/NCBI

35 

Zhang L, Ye SB, Li ZL, Ma G, Chen SP, He J, Liu WL, Xie D, Zeng YX and Li J: Increased HIF-1alpha expression in tumor cells and lymphocytes of tumor microenvironments predicts unfavorable survival in esophageal squamous cell carcinoma patients. Int J Clin Exp Pathol. 7:3887–3897. 2014.PubMed/NCBI

36 

Cheng J, Yang HL, Gu CJ, Liu YK, Shao J, Zhu R, He YY, Zhu XY and Li MQ: Melatonin restricts the viability and angiogenesis of vascular endothelial cells by suppressing HIF-1α/ROS/VEGF. Int J Mol Med. 43:945–955. 2019.PubMed/NCBI

37 

Xie L, Wang Y, Li Q, Ji X, Tu Y, Du S, Lou H, Zeng X, Zhu L, Zhang J and Zhu M: The HIF-1α/p53/miRNA-34a/Klotho axis in retinal pigment epithelial cells promotes subretinal fibrosis and exacerbates choroidal neovascularization. J Cell Mol Med. 25:1700–1711. 2021. View Article : Google Scholar : PubMed/NCBI

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September-2023
Volume 26 Issue 3

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Spandidos Publications style
Yi H, Han Y, Li Q, Lin R, Zhang J, Yang Y, Wang X and Zhang L: Prognostic impact of the combination of HIF‑1α and GLUT1 in patients with oesophageal squamous cell carcinoma. Oncol Lett 26: 404, 2023.
APA
Yi, H., Han, Y., Li, Q., Lin, R., Zhang, J., Yang, Y. ... Zhang, L. (2023). Prognostic impact of the combination of HIF‑1α and GLUT1 in patients with oesophageal squamous cell carcinoma. Oncology Letters, 26, 404. https://doi.org/10.3892/ol.2023.13990
MLA
Yi, H., Han, Y., Li, Q., Lin, R., Zhang, J., Yang, Y., Wang, X., Zhang, L."Prognostic impact of the combination of HIF‑1α and GLUT1 in patients with oesophageal squamous cell carcinoma". Oncology Letters 26.3 (2023): 404.
Chicago
Yi, H., Han, Y., Li, Q., Lin, R., Zhang, J., Yang, Y., Wang, X., Zhang, L."Prognostic impact of the combination of HIF‑1α and GLUT1 in patients with oesophageal squamous cell carcinoma". Oncology Letters 26, no. 3 (2023): 404. https://doi.org/10.3892/ol.2023.13990