12 Sep 2012: Cheng WL, Tsai MM, Tsai CY, Huang YH, Chen CY, et al. (2012) Correction: Glyoxalase-I Is a Novel Prognosis Factor Associated with Gastric Cancer Progression. PLOS ONE 7(9): 10.1371/annotation/5e2c310d-9811-4d81-a8d5-2701953f2f46. https://doi.org/10.1371/annotation/5e2c310d-9811-4d81-a8d5-2701953f2f46 View correction
Glyoxalase I (GLO1), a methylglyoxal detoxification enzyme, is implicated in the progression of human malignancies. The role of GLO1 in gastric cancer development or progression is currently unclear. The expression of GLO1 was determined in primary gastric cancer specimens using quantitative polymerase chain reaction, immunohistochemistry (IHC), and western blotting analyses. GLO1 expression was higher in gastric cancer tissues, compared with that in adjacent noncancerous tissues. Elevated expression of GLO1 was significantly associated with gastric wall invasion, lymph node metastasis, and pathological stage, suggesting a novel role of GLO1 in gastric cancer development and progression. The 5-year survival rate of the lower GLO1 expression groups was significantly greater than that of the higher expression groups (log rank P = 0.0373) in IHC experiments. Over-expression of GLO1 in gastric cancer cell lines increases cell proliferation, migration and invasiveness. Conversely, down-regulation of GLO1 with shRNA led to a marked reduction in the migration and invasion abilities. Our data strongly suggest that high expression of GLO1 in gastric cancer enhances the metastasis ability of tumor cells in vitro and in vivo, and support its efficacy as a potential marker for the detection and prognosis of gastric cancer.
Citation: Cheng W-L, Tsai M-M, Tsai C-Y, Huang Y-H, Chen C-Y, Chi H-C, et al. (2012) Glyoxalase-I Is a Novel Prognosis Factor Associated with Gastric Cancer Progression. PLoS ONE 7(3): e34352. https://doi.org/10.1371/journal.pone.0034352
Editor: DunFa Peng, Vanderbilt University Medical Center, United States of America
Received: December 8, 2011; Accepted: February 27, 2012; Published: March 29, 2012
Copyright: © 2012 Cheng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by grants from Chang-Gung University, Taoyuan, Taiwan (NMRPD 150311, NMRPD170441-42, CMRPG 640042-43, CMRPG 670291-93) and the National Science Council of the Republic of China (NSC 95-2314-B-182-027, 97-2314-B-182-009-MY2, 99-2314-B-182-022). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Gastric cancer is the fourth most common form of cancer and the second highest cause of cancer-related mortality worldwide . The malignancy is the sixth leading cause of cancer-related deaths in Taiwan . Proper screening can facilitate the detection of gastric cancer before symptom development at a curable stage . Determination of the expression profiles of key molecules in the several pathways involved in gastric cancer progression may aid in diagnosis, prognosis and prediction of tumor progression.
Tumor invasion and metastasis are vital steps in determining the aggressive phenotype of human cancers, and constitute the principal causes of cancer-related death . High expression of migration-related factors, such as cyclooxygenase 2 (COX-2) , Vascular endothelial growth factor (VEGF) , CXC chemokine ligand (CXCL)-8 , chemokine (C-X-C motif) receptor (CXCR)-2, and CXCL-1 , are associated with gastric cancer progression. Several potential oncogenic pathways (proliferation/stem cell, NF-κB, and Wnt/β-catenin) are deregulated in the majority of gastric cancers . Thus, further elucidation of the exact molecular events leading to gastric cancer progression and identification of valuable diagnostic or prognostic markers and novel therapeutic strategies would be of significant clinical value.
Glyoxalase I (also termed GLO1) is an essential component in pathways leading to the detoxification of Methylglyoxal (MG), one of the side products of glycolysis , , . GLO1 expression is increased in several human cancers of the colon, breast, prostate, and melanoma , , , , . Recent studies have reported that over-expression of GLO1 is associated with cancer progression and drug resistance . From our previous data, GLO1 upregulation was observed in gastric cancer specimens using cDNA microarray . However, the specific role of GLO1 during gastric tumorigenesis and its clinical significance remain to be established.
Our experiments clearly show that GLO1 is frequently over-expressed in gastric cancer and associated with cancer metastasis. Notably, expression of GLO1 is significantly higher in advanced stages of gastric cancer. Furthermore, alterations the expression of GLO1 in gastric cancer cell lines affects cell migration and invasion abilities.
Materials and Methods
The study protocol was approved by the Medical Ethics and Human Clinical Trial Committee of the Chang Gung Memorial Hospital (IRB NO. 95-0472B). Written informed consent was obtained from all patients.
The 114 patients (64 males and 50 females; median age, 66 years; range 28–86 years) diagnosed with gastric cancer at the Chang Gung Memorial Hospital from 2000 to 2005 were enrolled in this study. All patients received surgery for primary gastric cancer without prior chemotherapy or radiotherapy. Each patient was subjected to gastric resection (35 patients underwent total gastrectomy and 79 partial gastrectomy).
Resected specimens were examined pathologically using the criteria of the Japanese General Rules for Gastric Cancer Study  and the American Joint Committee on Cancer (AJCC) (pTNM) classification system . Clinicopathological parameters included patient age and gender, tumor location and size, gross (Borrmann's) tumor type, wall invasion, resection margin, histological type, lymph node metastasis, vascular invasion, lymphatic invasion, and perineural invasion. After discharge, all patients had periodic follow-up visits at the outpatient department of Chang Gung Memorial Hospital until death or the beginning of preparation of this article.
Real-time quantitative reverse transcription polymerase chain reaction (qRT–PCR)
qRT–PCR was performed as described in a previous report . The following primers were used: human GLO1 qRT–PCR (forward primer, 5′–TGAGGATAAAAATGACATCCCTA- AAGA–3′, and reverse primer, 5′–TGTGTCAGCTCAAGTGTAGCTTTC–3′), human 18S rRNA qRT–PCR (forward primer, 5′–CGAGCCGCCTGGATACC–3′, and reverse primer, 5′–CCTCAGTT CCGAAAACCAACAA–3′).
Production of anti-GLO1 antibody
The cDNA encoding full-length GLO1 was cloned into pGEX-4T1. Lysates from E. coli BL21 strain were purified with glutathione-agarose beads (Sigma-Aldrich, St. Louis, MO). Soluble proteins were purified using chromatography with glutathione-agarose beads, according to the manufacturer's instructions, emulsified with adjuvant, and used to immunize rabbits. Polyclonal antibodies were produced and affinity-purified, as described previously . The specificity of in-house GLO1 was validated using western blot analysis (Figure S1).
Whole cell lysates, nuclear extracts, and conditional media were prepared from human tissue or stable GLO1 knockdown cell lines. Western blotting was performed using monoclonal antibodies against human HIF-1α (Abcam, San Francisco, CA), p65 (Epitomic, Burlingame, CA), or p50 (Millipore, Billerica, MA) or polyclonal antibodies against human GLO1 (in-house, dilution, 1∶500), CXCL1 (PeproTech. Inc., Rocky Hill, NJ), CXCL8 (R&D Systems Inc., Minneapolis, MN), VEGF (Santa Cruz Biotechnology, Santa Cruz, CA).
Formalin-fixed and paraffin-embedded tissues were examined with IHC using the polyclonal antibody against human GLO1 produced in-house (dilution, 1∶3000) and the avidin–biotin complex (ABC) method, as described previously , . Comparisons were performed between the intensity of staining of carcinoma cells and benign superficial epithelium, which were placed on the same slide. For semi-quantitative analysis of GLO-1 immunoreactivity, a Histoscore (H)-scoring system was used . Briefly, the negative group consisted of cancer cells with no detectable (−) or only trace staining for GLO-1 (+1). The positive group consisted of cancer cells with moderate (+2) or high levels (+3) of GLO-1 immunoreactivity. The H-scoring was calculated and averaged by two independent pathologists, blinded to the initial score for each patient. The results were scored by multiplying the percentage of positive cells (P) by the intensity (I), according to the formula: H = P×I. For example, a section in which 10% of the tissue had a staining score of +1, 60% a score of +2, and 30% a score of +3, H = (10×1)+(60×2)+(30×3) = 220.
Establishment of GLO1 over-expression in SC-M1 cell line
The SC-M1 cell line expressing lower level of GLO1 was used. The transfection of GLO1 cDNA was performed with Lipofectamine Reagent (Life Technologies, Grand Island, NY). After incubation for 24 h, the cells were transferred to medium containing G418 for selection, and were then used in proliferation, migration, and invasion assays.
Establishment of GLO1 knockdown in TSGH and AGS cell lines
Two human gastric cancer cell lines, AGS, and TSGH, were employed. The short hairpin RNA (shRNA) sequences targeting GLO1 (TRCN0000118630 and TRCN0000118631) were purchased from the National RNA Interference Core Facility (Institute of Molecular Biology, Academia Sinica, Taiwan). The specific repression of GLO1 was confirmed using western blot analysis.
Cell proliferation assay
Cells (1×104) were grown on a 6 cm plate at 37°C under 5% CO2. At each time point, the growth rate of the cells was determined by cell counting. The results are given as the fold change relative to each control value.
In vitro assay of migration and invasive activity
The effect of GLO1 depletion or over-expression on the migration and invasive activity of gastric cancer cell lines was assessed using a rapid in vitro assay (Transwell technique), as described previously .
RNA preparation and microarray analysis
The GLO1-silenced clone TSGH (KG2) and control cell clone (C1) were rinsed briefly with ice-cold PBS and lysed in TRIzol reagent (Invitrogen) for RNA extraction. Gene expression profiles between KG2 and C1 cells were analyzed with the human U133A GeneChip (Affymetrix, Santa Clara, CA) according to the manufacturer's protocol .
The GLO1 expressions of each subgroup of clinicopatholgoical parameters in Table 1 are expressed as mean ± standard deviation (SD) of the IHC score of the patients in this subgroup. The Kolmogorov-Smirnov test is a nonparametric test to compare samples with a reference probability distribution. Where appropriate, the Mann-Whitney U or Fisher's exact test was applied for comparisons between the two groups, while Kruskal-Wallis or Pearson's chi-square test was used to compare more than two groups. The relationship between data obtained from the two different examinations was analyzed with the Spearman's correlation test. Patients were monitored until the time of manuscript preparation or death. Cancer-specific survival outcome was determined by applying the Kaplan-Meier method for all patients, except those who died from surgical complications. The log-rank test was employed to compare the prognostic significance of individual variables on survival. The Cox proportional hazards model was employed in multivariate analysis to identify the independent predictors of survival. P values <0.05 were considered significant.
GLO1 mRNA and protein levels are upregulated in gastric cancer patients
Using cDNA microarray, we have identified several upregulated genes from gastric tissues, compared to adjacent nontumorous tissues . Among these genes, we focused on GLO1 as a molecular target for gastric cancer. Expression of GLO1 was measured in cancer tissues, and compared with that in matched nontumorous gastric mucosa, using qRT–PCR (n = 89) (Table 2) or IHC (n = 114) (Table 1). Data from qRT-PCR experiments revealed GLO1 overexpression (≥1.5-fold) in 51 (57.3%) of gastric cancer tissues, compared with noncancerous tissues. The mean GLO1 expression in tumor tissues was 2.87-fold that in noncancerous tissues. Our results confirmed a significant increase in GLO1 expression in tumor tissues (P = 0.005, one-sample Kolmogorov-Smirnov test).
Expression of GLO1 protein in paired specimens was further analyzed using western blotting. Figure 1A presents GLO1 expression in eight representative patients. Equal amounts of total proteins stained with Coomassie blue after SDS-PAGE were used as the loading control. All cancer tissues from gastric cancer samples (G1 to G8) displayed upregulated GLO1 expression, compared with matched noncancerous adjacent mucosa (Fig. 1A).
Overexpression of GLO1 protein in gastric carcinoma. (A) Western blot demonstrating the presence of GLO1 protein in cancer tissues. GLO1 proteins were overexpressed in most tumor tissues (T), compared with matched noncancerous adjacent mucosa (N). All cancer tissues from gastric cancer specimens (G1 to G8) displayed upregulation of GLO1, compared with matched noncancerous adjacent mucosa. An equivalent amount (30 µg) of protein was loaded for each specimen and subjected to 12% SDS-PAGE, followed by staining with Coomassie blue as a loading control. Rabbit polyclonal antibody against human GLO1 produced in-house was used. (B) Panels a, c, e, and g depict noncancerous mucosa, while panels b, d, f, and h depict gastric cancer tissues. Positive staining for GLO1 is indicated as a dark-brown color. GLO1 expression was observed predominantly in gastric cancer cells and rarely in stromal cells. Scale bar represents 100 µm.
Immunostaining demonstrates GLO1 protein over-expression in gastric cancerous tissues
To further establish whether GLO1 upregulation is correlated with clinical progression of gastric cancer, IHC was performed on paraffin-fixed gastric cancer tissues and matched noncancerous mucosa of 114 patients. Four pairs of representative cases (a/b, c/d, e/f, and g/h) are shown in Figure 1B. IHC data for noncancerous mucosa counterparts (a, c, e, and g) and cancer tissues (b, d, f, and h) were compared in pairs. Dark-brown immunostaining was mostly prevalent in cancer cells whereas levels of staining were lower in stromal cells or fibroblasts of gastric cancer tissues. Strong staining for GLO1 was frequently observed in advanced gastric tumor cells, in contrast to weak or no staining in normal gastric epithelial cells (Fig. 1B, upper panel). Staining was more intense at the advanced gastric cancer stages [stage III in Fig. 1B (f, h)], compared with stages I [Fig. 1B (b)] and II [Fig. 1B (d)]. Among the 114 patients analyzed, the mean IHC score in tumor tissues was 139.8±62.8, which was significantly greater than that (36.7±40.4) in the matching adjacent mucosa (n = 87) (P<0.001, Wilcoxon signed-rank test). Furthermore, paired comparison of immunoreactivity for GLO1 (n = 87) revealed that the IHC scores of cancerous tissues were higher than those of the nontumorous counterparts in 77 (88.5%) patients, equal in three patients (3.4%), and lower in seven patients (8.0%).
GLO1 expression and clinical correlations
GLO1 expression in tumor tissue was not significantly associated with age, tumor location or histological type (Tables 1 and 2). Higher levels of GLO1 were evident in the T3/T4 groups where the serosal surface of the gastric wall was invaded by cancer, compared to that in T1/T2 groups where no invasion was evident (P = 0.015 for qRT- PCR and P = 0.001 for IHC; Fig. 2A; Tables 1 and 2). Expression of GLO1 was significantly increased, with metastasis to the lymph nodes (P = 0.001 for qRT-PCR and P<0.001 for IHC; Fig. 2B; Tables 1 and 2). Higher expression was evident in patients with lymphatic invasion (P = 0.001 and P = 0.016 for qRT-PCR and IHC respectively; Tables 1 and 2) and perineural invasion (P = 0.024 for qRT-PCR, Table 2). Increased GLO1 expression was not associated with vascular invasion or distant metastasis, including peritoneal seeding or liver metastasis, in both qRT-PCR and IHC experiments. Expression of GLO1 was significantly higher in patients with more advanced pathologic stages (III/IV) of gastric cancer, compared to those in the earlier pathologic stages (I/II) (P = 0.001 and P<0.001 for qRT-PCR and IHC, respectively) (Fig. 2C; Tables 1 and 2).
(A) Scatter plot according to depth of wall invasion (P = 0.001, T1/T2 vs. T3/T4). (B) Scatter plot according to lymph node metastasis (P<0.001, N0 versus N1–3). (C) Scatter plot according to pathological stage (P<0.001, stages I/II versus stages III/IV). (D) Kaplan-Meir survival curves of two groups of gastric cancer patients defined by a GLO1 expression level cutoff value of 90, established on the basis of IHC scoring. The 5-year survival rate of the lower expression groups (n = 24) was significantly better than that of the higher expression groups (n = 90; 69.6% vs. 43.3%; log rank P = 0.0373).
The mean duration of the follow-up period for 52 survivors was 70.4 months (range, 28–119 months). Four patients died of postoperative complications and six of other causes. Fifty-two patients died owing to gastric cancer progression. The overall cumulative five-year survival rate of the 114 patients was 49.3% after gastrectomy. To determine the influence of GLO1 expression on survival outcome, the patient was divided into two groups, higher and lower expressions, according to the cutoff value which would demonstrate a significant difference (log rank P<0.05) in survival rates between 2 groups. The median ( = 140), upper quartile ( = 180 or 75th percentile), and lower quartile ( = 90 or 25th percentile) of IHC scores of our patient were initially tested to determine the cutoff values. Among them, only the lower quartile could show a significant difference in survival outcome. Fig. 2D illustrates the cumulative survival curves of patients in the lower and higher expression GLO1 groups, divided according to a cutoff IHC score of 90. The 5-year survival rate of the lower GLO1 expression groups was significantly greater than that of the higher expression groups (69.6% vs. 43.3%; log rank P = 0.0373) in IHC experiments. Univariate analysis disclosed a number of significant prognostic factors, including status of lymph node metastasis, distant metastasis, peritoneal seeding, vascular invasion, lymphatic invasion, depth of invasion, pathological stage, liver metastasis and perineural invasion, in addition to GLO1 expression. Other significant parameters were histological type, tumor size, and gross type (Table 1). Further, in multivariate analysis, the independent prognostic factors influencing patient survival included lymph node metastasis (relative risk = 5.954, 95% CI = 1.183–29.977, P = 0.031) and distant metastasis (relative risk = 2.464, 95% CI = 1.030–5.896, P = 0.043).
Over-expression of GLO1 in SC-M1 enhances cell proliferation, migration and invasion activities.
To determine the effects of over-expression of GLO1 in SC-M1 cells, cell proliferation, migration, and invasion activities were assayed. After two weeks of transfection, stable expression of GLO1 protein was established. Figure 3A shows 2.36 fold and 2.29 fold higher GLO1 expression, respectively. Cell proliferation was determined by cell counting and indicated as a fold of the control for up to five days. GLO1-overexpressing cells exhibited significantly (P<0.01) higher proliferation rates (1.86- or 2.06-fold) than those transfected with control vector on day 5 (Fig. 3B). Moreover, GLO1-overexpressing cells displayed significantly (P<0.01) higher migration rates (5.53- or 4.57-fold) and invasive abilities (3.7- or 3.47-fold) than their control counterparts (Figs. 3C and D). Images of cell density were shown for two control and two over-expressing cell lines (left panels in Figs. 3C and D).
Two SC-M1-GLO1 over-expression clones (OG1 and OG2), and two control cell lines (C1, C2) were established. (A) Expression of GLO1 was determined using western blot analysis. β-actin was used as an internal control. (B) Cell proliferation, (C) Migration, and (D) Invasion abilities were assayed as described in “Materials and Methods”. Data were presented as folds from at least three independent experiments performed in duplicated. The fold changes (B–D), and differences examined using Mann-Whitney U method to compare values with vector control. ** P<0.05.
Down-expression of GLO1 in TSGH or AGS cells reduces cell migration and invasion activities
Our results confirmed high expression of GLO1 in advanced gastric cancer, compared to noncancerous gastric mucosa. To determine whether GLO1 expression is associated with invasiveness of gastric cancer cell lines, the effects of GLO1 depletion using short hairpin (sh)RNA plasmids on tumor cell invasion activities of TSGH or AGS cells were assessed. ShRNA expression vectors encoding the antisense GLO1 sequence were transfected into TSGH and AGS cell lines expressing high levels of endogenous GLO1. GLO1 expression was significantly repressed in TSGH-KG1, -KG2 (0.32- and 0.14-fold) and AGS-KS1, -KS2 (0.26- and 0.21-fold) sublines, respectively, compared with that in cells transfected with the control vectors (C1, C2; Figs. 4A and B). KG1 and KG2 GLO1-depleted cells exhibited significantly (P<0.05) reduced migration rates (0.16- or 0.044-fold, respectively) and invasion abilities (0.43- or 0.29-fold, respectively) than control vector-transfected cells (Figs. 4C and D). Similar results were obtained with AGS-KS cells (KS1 and KS2) (Figs. 4E and F). Our results collectively suggest that GLO1 positively regulates the migration and invasion abilities of gastric cancer cells.
Two TSGH-GLO1-silenced clones (KG1 and KG2), two AGS-GLO1-silenced clones (KS1 and KS2) sublines and control cell lines (TSGH-C1 and -C2; AGS-C1 and -C2) were established. (A, B) Expression of GLO1 was determined using western blot analysis. β-actin was used as an internal control. Cell migration (C, E) and invasion (D, F) abilities were assayed as described in “Materials and Methods”. Data were presented as folds from at least three independent experiments performed in duplicated. The fold changes (C–F), and differences examined using Mann-Whitney U method to compare values with vector control. ** P<0.05.
Down-expression of GLO1 results in reduced expression of genes involved in metastasis-associated pathways
To ascertain whether the GLO1 protein affects metastasis-related genes, we compared the genome-wide expression of KG2 and C1. Several genes upregulated (≥1.5-fold) in C1, compared to KG2, were selected. MetaCore™ analysis  revealed that the top-ranking molecular pathways altered in KG clones were adhesion_cytokines and adhesion pathways. Proteins [such as matrix metalloproteinase (MMP), CXCL8, and CXCL1] involved in those pathways were down-regulated upon GLO1 silencing. Among the cytokine related pathways, high expression of VEGF, CXCL8, CXCR2, and CXCL1 are associated with cancer metastasis and progression , . Previously, Daniel J. et al.  reported that over-expression of GLO1 could enhance stromal cell-derived factor-1 (SDF-1), CXCR4, and VEGF expression in hypoxic endothelial progenitor cells culture in high glucose. Therefore, we also analyzed the expression of VEGF in KG stable lines.
We further validated the expression patterns of proteins in VEGF or cytokine-related pathways via western blot analysis. The levels of target genes, including CXCL1, CXCL8, CXCR2, and VEGF, were significantly inhibited in TSGH-KG stable cell lines (KG1 and KG2), compared with vector-transfected controls (Fig. 5A). Furthermore, the levels of NF-κB and HIF1-α, well-known transcription factors of pro-angiogenic growth factors (such as CXCL8, CXCL1, and VEGF) , were reduced in the nuclei of TSGH-KG stable cell lines, compared with control cells (Fig. 5A). MMP2 and MMP9, the key enzymes for degrading type IV collagen, are believed to play a critical role in tumor invasion and metastasis . Notably, depletion of GLO1 led to marked suppression of MMP2 and MMP9 activities (Fig. 5B). Our data indicate that GLO1 regulates the activation of metastasis-associated signaling pathways in gastric cancer cells. Based on these findings, we propose that GLO1 mediates gastric cancer cell migration and invasion at least partially mediated through activation of CXCL1, CXCL8, and VEGF.
(A) HIF-1α, NF-kB, VEGF, CXCL8, CXCL1, and CXCR2 protein levels in TSGH cells transfected with GLO1 shRNA (KG1 and KG2) and control shRNA (C1 and C2). The gel was stained with Coomassie blue (CB), which was used as a loading control of conditional media. β-actin was used as an internal control for total cell lysates, and lamin A/C for nuclear proteins. (B) Knockdown of GLO1 suppressed activation of MMP2 and MMP9. Conditional media from C1, C2, KG1 and KG2 cells were collected and subjected to gelatin zymography. (C) Sections of formalin-fixed and paraffin-embedded tissues from three human gastric tumor tissues were immunostained with anti-GLO1 (a and b), anti-CXCL1 (c and d) or anti-CXCR2 antibodies (e and f). Coexpression of GLO1, CXCL1, and CXCR2 proteins detected in human gastric cancer tissues (b, d, and f). Noncancerous gastric mucosa with negative or lower expression of GLO1, CXCL1 and CXCR2 proteins (a, c, and e). Scale bar represents 200 µm.
IHC shows coexpression of GLO1 with CXCL1 and CXCR2 proteins and its over-expression in gastric cancerous tissues
Earlier studies have reported that cytokine receptor interaction and VEGF signaling pathways are associated with malignancy features in gastric cancer , . Previously, our group showed a significant association of CXCR2 and CXCL1 over-expression (n = 116) with gastric cancer progression . Consistently, in IHC analysis, a positive significant correlation was found exclusively between the scores of GLO1 and CXCL1 or CXCR2 in cancer tissues (Spearman's correlation coefficient = 0.238 and 0.293; P = 0.013 and P = 0.003, respectively). Furthermore, immunostaining of consecutive sections revealed significant expression of GLO1, CXCL1, and CXCR2 proteins in tumor epithelial cells [Fig. 5C (b), (d), and (f)], in contrast to no or low expression in noncancerous tissues [Fig. 5C (a), (c), and (e)].
As the second most frequent cause of cancer-related death, gastric cancer remains a challenging disease. Data from the present study demonstrated that upregulation of GLO1 in gastric cancer tissues is significantly associated with tumor progression and advanced stages of the disease. Concordantly, patients with lower GLO1 levels had better disease prognosis. Moreover, qRT–PCR and IHC experiments disclosed a correlation of increased GLO1 expression with local tumor progression and lymph node invasion. We observed a marked decrease in the metastasis and invasion abilities of GLO1-deficient cells, concomitant with reduced levels of several metastasis-associated factors, including VEGF, CXCL1, CXCL8, MMPs, and CXCR2. In the IHC study, a positive significant correlation between GLO1 and CXCL1 expression patterns was observed in resected specimens of gastric cancer. Moreover, elevated GLO1 and concomitant CXCL1 over-expression in patients with gastric cancer were significantly correlated with survival. Our results provide direct evidence supporting the involvement of GLO1 in gastric cancer progression and the might through alternation of its downstream migration and invasion pathways.
High expression of GLO1 has been linked to several cancers , . Recent studies have suggested a vital role of GLO1 in several cancer types in the removal of methylglyoxal (MG), which is considered carcinostatic, resulting in the development of GLO1 inhibitors as anti-tumor agents , . Thus, high expression of GLO1 is involved in cancer cell resistance to apoptosis induced by anti-tumor agents . Sakamoto et al.  proposed that GLO1 is not only a tumor but also a drug resistance marker. Consistently, the GLO1 knockdown-clones were sensitive to several chemotherapy agents such as camptothecin, etoposide (data not shown). Clinically, our results indicate that GLO1 is highly expressed in gastric cancer and significantly associated with tumor progression and advanced stages of the disease.
Glycolytic alterations in cancer cells represent a metabolic adaptation to hypoxic tumors via the action of hypoxia-induced transcription factor (HIF-1) , . In addition, the transcription factors, HIF1-α and NF-κB, play crucial roles in various processes, such as inflammation, microbial killing and cancer progression . Tumor hypoxia appears to be strongly associated with tumor propagation, malignant progression, and resistance to therapy. The HIF-1α pathway is clearly involved in carcinogenesis of gastric cancer . In addition, immunohistochemical expression of HIF-1α target genes (Glut1, VEGF, CA9, iNOS) is associated with gastric tumor progression . Among the oncogenic pathways, NF-κB signaling is elevated in a significant proportion of gastric cancers . Moreover, several lines of evidence support crosstalk between the NF-κB and HIF-1α signaling pathways . In our experiments, levels of both HIF-1α and NF-κB were reduced in nuclei upon GLO1 silencing in gastric cancer cell lines, along with downstream target genes (VEGF, CXCL1, CXCL8, MMPs).
In our study, abnormally elevated GLO1 expression was associated with progressive phenotypes, such as gastric wall invasion, lymph node metastasis, pathological stage, and lymphatic invasion. Previously, we reported that elevated CXCL1 and CXCR2 in gastric cancer is associated with tumor progression, and that the plasma CXCL1 level may be a useful circulating biomarker for gastric cancer diagnosis . Here, we have obtained direct clinical evidence of a strong correlation between the expression patterns of GLO1 and CXCL1 or CXCR2. GLO1 expression may be associated with activation of cytokine receptor associated and VEGF signaling pathways, representing a potential mechanism for enhanced motility and invasive ability. Our results confirm over-expression of GLO1 in gastric carcinoma and its strong association with advanced stages and poor prognosis. Earlier studies by our group have shown that SPARC , CLIC1 , SLPI , CXCL1, CXCL8, and CXCR2 are highly expressed and associated with advanced stages and poor prognosis of gastric cancer . These novel potential biomarkers may therefore be applied to improve the specificity and sensitivity of gastric cancer diagnosis. Further development and confirmation of the utility of these markers in larger patient cohorts will potentially lead to clinical applications.
The specificity of in-house GLO1 was validated by western blot analysis. Rabbit polyclonal anti-GLO1 antibody (right image) and negative control pre-immune sera (left image) were used. The GLO1 protein level was determined in TSGH-C1 and -KG2 gastric cell lines with the in-house GLO1 antibody. β-actin was used as an internal control for total cell lysates.
Conceived and designed the experiments: W-LC M-MT K-HL. Performed the experiments: W-LC M-MT. Analyzed the data: K-HL C-SW W-LC M-MT. Contributed reagents/materials/analysis tools: W-LC M-MT. Wrote the paper: W-LC M-MT. Repeated the experiments: C-YT Y-HH C-YC H-CC Y-HT I-WC W-CL S-MW YL C-JL Y-HL I-HC W-JC PYL.
- 1. Jemal A, Siegel R, Ward E, Hao Y, Xu J, et al. (2008) Cancer statistics, 2008. CA Cancer J Clin 58: 71–96.A. JemalR. SiegelE. WardY. HaoJ. Xu2008Cancer statistics, 2008.CA Cancer J Clin587196
- 2. Department of Health, Taiwan (Department of Health, Taiwan. Cause of death statistics. 2010 [assessed April 7th 2010]. Department of Health, Taiwan (Department of Health, Taiwan. Cause of death statistics. 2010 [assessed April 7th 2010].
- 3. Wang CS, Hsieh CC, Chao TC, Jan YY, Jeng LB, et al. (2002) Resectable gastric cancer: operative mortality and survival analysis. Chang Gung Med J 25: 216–227.CS WangCC HsiehTC ChaoYY JanLB Jeng2002Resectable gastric cancer: operative mortality and survival analysis.Chang Gung Med J25216227
- 4. Steeg PS (2003) Metastasis suppressors alter the signal transduction of cancer cells. Nat Rev Cancer 3: 55–63.PS Steeg2003Metastasis suppressors alter the signal transduction of cancer cells.Nat Rev Cancer35563
- 5. Mao XY, Wang XG, Lv XJ, Xu L, Han CB (2007) COX-2 expression in gastric cancer and its relationship with angiogenesis using tissue microarray. World J Gastroenterol 13: 3466–3471.XY MaoXG WangXJ LvL. XuCB Han2007COX-2 expression in gastric cancer and its relationship with angiogenesis using tissue microarray.World J Gastroenterol1334663471
- 6. Yao JC, Wang L, Wei D, Gong W, Hassan M, et al. (2004) Association between expression of transcription factor Sp1 and increased vascular endothelial growth factor expression, advanced stage, and poor survival in patients with resected gastric cancer. Clin Cancer Res 10: 4109–4117.JC YaoL. WangD. WeiW. GongM. Hassan2004Association between expression of transcription factor Sp1 and increased vascular endothelial growth factor expression, advanced stage, and poor survival in patients with resected gastric cancer.Clin Cancer Res1041094117
- 7. Konno H, Ohta M, Baba M, Suzuki S, Nakamura S (2003) The role of circulating IL-8 and VEGF protein in the progression of gastric cancer. Cancer Sci 94: 735–740.H. KonnoM. OhtaM. BabaS. SuzukiS. Nakamura2003The role of circulating IL-8 and VEGF protein in the progression of gastric cancer.Cancer Sci94735740
- 8. Cheng WL, Wang CS, Huang YH, Tsai MM, Liang Y, et al. (2011) Overexpression of CXCL1 and its receptor CXCR2 promote tumor invasion in gastric cancer. Ann Oncol 22: 2267–2276.WL ChengCS WangYH HuangMM TsaiY. Liang2011Overexpression of CXCL1 and its receptor CXCR2 promote tumor invasion in gastric cancer.Ann Oncol2222672276
- 9. Ooi CH, Ivanova T, Wu J, Lee M, Tan IB, et al. (2009) Oncogenic pathway combinations predict clinical prognosis in gastric cancer. PLoS Genet 5: e1000676.CH OoiT. IvanovaJ. WuM. LeeIB Tan2009Oncogenic pathway combinations predict clinical prognosis in gastric cancer.PLoS Genet5e1000676
- 10. Thornalley PJ (1995) Advances in glyoxalase research. Glyoxalase expression in malignancy, anti-proliferative effects of methylglyoxal, glyoxalase I inhibitor diesters and S-D-lactoylglutathione, and methylglyoxal-modified protein binding and endocytosis by the advanced glycation endproduct receptor. Crit Rev Oncol Hematol 20: 99–128.PJ Thornalley1995Advances in glyoxalase research. Glyoxalase expression in malignancy, anti-proliferative effects of methylglyoxal, glyoxalase I inhibitor diesters and S-D-lactoylglutathione, and methylglyoxal-modified protein binding and endocytosis by the advanced glycation endproduct receptor.Crit Rev Oncol Hematol2099128
- 11. Ranganathan S, Ciaccio PJ, Walsh ES, Tew KD (1999) Genomic sequence of human glyoxalase-I: analysis of promoter activity and its regulation. Gene 240: 149–155.S. RanganathanPJ CiaccioES WalshKD Tew1999Genomic sequence of human glyoxalase-I: analysis of promoter activity and its regulation.Gene240149155
- 12. Thornalley PJ (2008) Protein and nucleotide damage by glyoxal and methylglyoxal in physiological systems–role in ageing and disease. Drug Metabol Drug Interact 23: 125–150.PJ Thornalley2008Protein and nucleotide damage by glyoxal and methylglyoxal in physiological systems–role in ageing and disease.Drug Metabol Drug Interact23125150
- 13. Zhang D, Tai LK, Wong LL, Chiu LL, Sethi SK, et al. (2005) Proteomic study reveals that proteins involved in metabolic and detoxification pathways are highly expressed in HER-2/neu-positive breast cancer. Mol Cell Proteomics 4: 1686–1696.D. ZhangLK TaiLL WongLL ChiuSK Sethi2005Proteomic study reveals that proteins involved in metabolic and detoxification pathways are highly expressed in HER-2/neu-positive breast cancer.Mol Cell Proteomics416861696
- 14. Antognelli C, Del Buono C, Ludovini V, Gori S, Talesa VN, et al. (2009) CYP17, GSTP1, PON1 and GLO1 gene polymorphisms as risk factors for breast cancer: an Italian case-control study. BMC Cancer 9: 115.C. AntognelliC. Del BuonoV. LudoviniS. GoriVN Talesa2009CYP17, GSTP1, PON1 and GLO1 gene polymorphisms as risk factors for breast cancer: an Italian case-control study.BMC Cancer9115
- 15. Romanuik TL, Ueda T, Le N, Haile S, Yong TM, et al. (2009) Novel biomarkers for prostate cancer including noncoding transcripts. Am J Pathol 175: 2264–2276.TL RomanuikT. UedaN. LeS. HaileTM Yong2009Novel biomarkers for prostate cancer including noncoding transcripts.Am J Pathol17522642276
- 16. Bair WB 3rd, Cabello CM, Uchida K, Bause AS, Wondrak GT (2010) GLO1 overexpression in human malignant melanoma. Melanoma Res 20: 85–96.WB Bair 3rdCM CabelloK. UchidaAS BauseGT Wondrak2010GLO1 overexpression in human malignant melanoma.Melanoma Res208596
- 17. Thornalley PJ, Rabbani N (2011) Glyoxalase in tumourigenesis and multidrug resistance. Semin Cell Dev Biol 22: 318–325.PJ ThornalleyN. Rabbani2011Glyoxalase in tumourigenesis and multidrug resistance.Semin Cell Dev Biol22318325
- 18. Wang CS, Lin KH, Chen SL, Chan YF, Hsueh S (2004) Overexpression of SPARC gene in human gastric carcinoma and its clinic-pathologic significance. Br J Cancer 91: 1924–1930.CS WangKH LinSL ChenYF ChanS. Hsueh2004Overexpression of SPARC gene in human gastric carcinoma and its clinic-pathologic significance.Br J Cancer9119241930
- 19. Japanese Gastric Cancer A (1998) Japanese Classification of Gastric Carcinoma - 2nd English Edition. Gastric Cancer 1: 10–24.A. Japanese Gastric Cancer1998Japanese Classification of Gastric Carcinoma - 2nd English Edition.Gastric Cancer11024
- 20. Greene FL, Page DL, Fleming ID (2002) AJCC Cancer Staging Manual.6th ed. New York: Springer-Verlag. pp. 99–106.FL GreeneDL PageID Fleming2002AJCC Cancer Staging Manual.6th edNew YorkSpringer-Verlag99106
- 21. Huang YH, Lee CY, Tai PJ, Yen CC, Liao CY, et al. (2006) Indirect regulation of human dehydroepiandrosterone sulfotransferase family 1A member 2 by thyroid hormones. Endocrinology 147: 2481–2489.YH HuangCY LeePJ TaiCC YenCY Liao2006Indirect regulation of human dehydroepiandrosterone sulfotransferase family 1A member 2 by thyroid hormones.Endocrinology14724812489
- 22. Wu CC, Chien KY, Tsang NM, Chang KP, Hao SP, et al. (2005) Cancer cell-secreted proteomes as a basis for searching potential tumor markers: nasopharyngeal carcinoma as a model. Proteomics 5: 3173–3182.CC WuKY ChienNM TsangKP ChangSP Hao2005Cancer cell-secreted proteomes as a basis for searching potential tumor markers: nasopharyngeal carcinoma as a model.Proteomics531733182
- 23. Hsu SM, Raine L, Fanger H (1981) The use of antiavidin antibody and avidin-biotin-peroxidase complex in immunoperoxidase technics. Am J Clin Pathol 75: 816–821.SM HsuL. RaineH. Fanger1981The use of antiavidin antibody and avidin-biotin-peroxidase complex in immunoperoxidase technics.Am J Clin Pathol75816821
- 24. Hsu SM, Raine L, Fanger H (1981) Use of avidin-biotin-peroxidase complex (ABC) in immunoperoxidase techniques: a comparison between ABC and unlabeled antibody (PAP) procedures. J Histochem Cytochem 29: 577–580.SM HsuL. RaineH. Fanger1981Use of avidin-biotin-peroxidase complex (ABC) in immunoperoxidase techniques: a comparison between ABC and unlabeled antibody (PAP) procedures.J Histochem Cytochem29577580
- 25. Goulding H, Pinder S, Cannon P, Pearson D, Nicholson R, et al. (1995) A new immunohistochemical antibody for the assessment of estrogen receptor status on routine formalin-fixed tissue samples. Hum Pathol 26: 291–294.H. GouldingS. PinderP. CannonD. PearsonR. Nicholson1995A new immunohistochemical antibody for the assessment of estrogen receptor status on routine formalin-fixed tissue samples.Hum Pathol26291294
- 26. Lin KH, Wang WJ, Wu YH, Cheng SY (2002) Activation of antimetastatic Nm23-H1 gene expression by estrogen and its alpha-receptor. Endocrinology 143: 467–475.KH LinWJ WangYH WuSY Cheng2002Activation of antimetastatic Nm23-H1 gene expression by estrogen and its alpha-receptor.Endocrinology143467475
- 27. Tsai MS, Hwang SM, Chen KD, Lee YS, Hsu LW, et al. (2007) Functional network analysis of the transcriptomes of mesenchymal stem cells derived from amniotic fluid, amniotic membrane, cord blood, and bone marrow. Stem Cells 25: 2511–2523.MS TsaiSM HwangKD ChenYS LeeLW Hsu2007Functional network analysis of the transcriptomes of mesenchymal stem cells derived from amniotic fluid, amniotic membrane, cord blood, and bone marrow.Stem Cells2525112523
- 28. Nikolsky Y, Ekins S, Nikolskaya T, Bugrim A (2005) A novel method for generation of signature networks as biomarkers from complex high throughput data. Toxicol Lett 158: 20–29.Y. NikolskyS. EkinsT. NikolskayaA. Bugrim2005A novel method for generation of signature networks as biomarkers from complex high throughput data.Toxicol Lett1582029
- 29. Tsujimoto H, Ono S, Ichikura T, Matsumoto Y, Yamamoto J, et al. (2011) Roles of inflammatory cytokines in the progression of gastric cancer: friends or foes? Gastric Cancer 13: 212–221.H. TsujimotoS. OnoT. IchikuraY. MatsumotoJ. Yamamoto2011Roles of inflammatory cytokines in the progression of gastric cancer: friends or foes?Gastric Cancer13212221
- 30. Ceradini DJ, Yao D, Grogan RH, Callaghan MJ, Edelstein D, et al. (2008) Decreasing intracellular superoxide corrects defective ischemia-induced new vessel formation in diabetic mice. J Biol Chem 283: 10930–10938.DJ CeradiniD. YaoRH GroganMJ CallaghanD. Edelstein2008Decreasing intracellular superoxide corrects defective ischemia-induced new vessel formation in diabetic mice.J Biol Chem2831093010938
- 31. Sodhi A, Montaner S, Gutkind JS (2004) Viral hijacking of G-protein-coupled-receptor signalling networks. Nat Rev Mol Cell Biol 5: 998–1012.A. SodhiS. MontanerJS Gutkind2004Viral hijacking of G-protein-coupled-receptor signalling networks.Nat Rev Mol Cell Biol59981012
- 32. Westermarck J, Kahari VM (1999) Regulation of matrix metalloproteinase expression in tumor invasion. FASEB J 13: 781–792.J. WestermarckVM Kahari1999Regulation of matrix metalloproteinase expression in tumor invasion.FASEB J13781792
- 33. Liu XE, Sun XD, Wu JM (2004) Expression and significance of VEGF-C and FLT-4 in gastric cancer. World J Gastroenterol 10: 352–355.XE LiuXD SunJM Wu2004Expression and significance of VEGF-C and FLT-4 in gastric cancer.World J Gastroenterol10352355
- 34. Thornalley PJ, Edwards LG, Kang Y, Wyatt C, Davies N, et al. (1996) Antitumour activity of S-p-bromobenzylglutathione cyclopentyl diester in vitro and in vivo. Inhibition of glyoxalase I and induction of apoptosis. Biochem Pharmacol 51: 1365–1372.PJ ThornalleyLG EdwardsY. KangC. WyattN. Davies1996Antitumour activity of S-p-bromobenzylglutathione cyclopentyl diester in vitro and in vivo. Inhibition of glyoxalase I and induction of apoptosis.Biochem Pharmacol5113651372
- 35. Kavarana MJ, Kovaleva EG, Creighton DJ, Wollman MB, Eiseman JL (1999) Mechanism-based competitive inhibitors of glyoxalase I: intracellular delivery, in vitro antitumor activities, and stabilities in human serum and mouse serum. J Med Chem 42: 221–228.MJ KavaranaEG KovalevaDJ CreightonMB WollmanJL Eiseman1999Mechanism-based competitive inhibitors of glyoxalase I: intracellular delivery, in vitro antitumor activities, and stabilities in human serum and mouse serum.J Med Chem42221228
- 36. Sakamoto H, Mashima T, Kizaki A, Dan S, Hashimoto Y, et al. (2000) Glyoxalase I is involved in resistance of human leukemia cells to antitumor agent-induced apoptosis. Blood 95: 3214–3218.H. SakamotoT. MashimaA. KizakiS. DanY. Hashimoto2000Glyoxalase I is involved in resistance of human leukemia cells to antitumor agent-induced apoptosis.Blood9532143218
- 37. Dang CV, Semenza GL (1999) Oncogenic alterations of metabolism. Trends Biochem Sci 24: 68–72.CV DangGL Semenza1999Oncogenic alterations of metabolism.Trends Biochem Sci246872
- 38. Bedogni B, Powell MB (2009) Hypoxia, melanocytes and melanoma - survival and tumor development in the permissive microenvironment of the skin. Pigment Cell Melanoma Res 22: 166–174.B. BedogniMB Powell2009Hypoxia, melanocytes and melanoma - survival and tumor development in the permissive microenvironment of the skin.Pigment Cell Melanoma Res22166174
- 39. Rohwer N, Lobitz S, Daskalow K, Jons T, Vieth M, et al. (2009) HIF-1alpha determines the metastatic potential of gastric cancer cells. Br J Cancer 100: 772–781.N. RohwerS. LobitzK. DaskalowT. JonsM. Vieth2009HIF-1alpha determines the metastatic potential of gastric cancer cells.Br J Cancer100772781
- 40. Griffiths EA, Pritchard SA, Welch IM, Price PM, West CM (2005) Is the hypoxia-inducible factor pathway important in gastric cancer? Eur J Cancer 41: 2792–2805.EA GriffithsSA PritchardIM WelchPM PriceCM West2005Is the hypoxia-inducible factor pathway important in gastric cancer?Eur J Cancer4127922805
- 41. Rohwer N, Dame C, Haugstetter A, Wiedenmann B, Detjen K, et al. (2010) Hypoxia-inducible factor 1alpha determines gastric cancer chemosensitivity via modulation of p53 and NF-kappaB. PLoS One 5: e12038.N. RohwerC. DameA. HaugstetterB. WiedenmannK. Detjen2010Hypoxia-inducible factor 1alpha determines gastric cancer chemosensitivity via modulation of p53 and NF-kappaB.PLoS One5e12038
- 42. Chen CD, Wang CS, Huang YH, Chien KY, Liang Y, et al. (2007) Overexpression of CLIC1 in human gastric carcinoma and its clinicopathological significance. Proteomics 7: 155–167.CD ChenCS WangYH HuangKY ChienY. Liang2007Overexpression of CLIC1 in human gastric carcinoma and its clinicopathological significance.Proteomics7155167
- 43. Cheng WL, Wang CS, Huang YH, Liang Y, Lin PY, et al. (2008) Overexpression of a secretory leukocyte protease inhibitor in human gastric cancer. Int J Cancer 123: 1787–1796.WL ChengCS WangYH HuangY. LiangPY Lin2008Overexpression of a secretory leukocyte protease inhibitor in human gastric cancer.Int J Cancer12317871796