Literature DB >> 31827638

Overexpression of UDP-Glucose 4-Epimerase Is Associated with Differentiation Grade of Gastric Cancer.

Maria de Fátima Deodato de Souza1, Antônio Felix da Silva Filho1, Amanda Pinheiro de Barros Albuquerque1, Michael Williams Leal Quirino1, Mário Sérgio de Souza Albuquerque1, Marina Ferraz Cordeiro1,2, Mário Rino Martins3, Ivan da Rocha Pitta1, Antônio Roberto Lucena-Araujo4, Maira Galdino da Rocha Pitta1, Moacyr Jesus Barreto de Melo Rêgo1.   

Abstract

The UDP-glucose 4-epimerase (GALE) is a glycosyltransferase, which acts on protein and lipid glycosylation in normal and neoplastic cells. This study is aimed at investigating the differential tissue expression of GALE and its possible association with clinical-pathological parameters and the outcome of gastric adenocarcinoma patients. Seventy-one patients were evaluated in relation to GALE expression by immunohistochemistry. Our results showed that 48 (67.6%) patients were GALE positive and 23 (32.4%) negative. Positive staining was present on well-differentiated and moderate-differentiated histological grade of gastric adenocarcinomas (p < 0.0001). There was no significant association with outcome parameters (p > 0.05). Besides that, our results corroborated with the validation cohort analysis, where the expression of GALE mRNA was also associated with the histological grade (p < 0.001). These results suggest a possible use of this enzyme as a biomarker for well and moderately differentiated tumors.
Copyright © 2019 Maria de Fátima Deodato de Souza et al.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31827638      PMCID: PMC6886318          DOI: 10.1155/2019/6325326

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


1. Introduction

Gastric cancer (GC) has low survival rates and represents the second leading cause of death associated with cancer worldwide. This neoplasia presents heterogeneous characteristics and different biological behaviors, besides variations in therapeutic response and clinical course [1-4]. Discovery of new biomarkers for diagnosis and a segment of GC can optimize its therapeutic strategies [5]. Glycosylation is a common post-translational and/or co-translational biochemical event in protein and lipid synthesis. It is an important cellular mechanism often altered in several types of cancer. The first step of glycosylation reactions is determined by glycosyltransferases (GTs) [6]. Changes in GTs expression leads to an altered glycosylation pattern, contributing to cancer progression. Therefore, GTs can represent potential biomarker candidates [7]. One of these GTs, UDP-glucose 4-epimerase (also called UDP-galactose 4-epimerase), is a member of the short chain dehydrogenase/reductase superfamily [8]. Functionally, UDP-glucose 4-epimerase catalyzes the reversible conversion between UDP-galactose (UDP-Gal) and UDP-glucose (UDP-Glc) in the third step of the Leloir pathway in galactose metabolism. Additionally, this GT promotes the interconvention of UDP-N-acetylgalactosamine (UDP-GalNAc) in UDP-N-acetylglucosamine (UDP-GlcNAc) [9-11]. The expression of UDP-glucose 4-epimerase was found in hepatomas, lymphoma, and thyroid cancer. The products of its metabolic activity may perform a significant role in cell recognition, signaling, progression, and metastasis of cancer cells [12-14]. Thus, this study is aimed at analyzing GALE staining on tissue samples of GC to investigate whether its expression is associated with pathological clinical parameters and with overall survival rates and disease-free survival.

2. Materials and Methods

2.1. Samples

Seventy-one patients with primary gastric adenocarcinoma, diagnosed between 2013 and 2016, were selected from the Service Registry of the Pernambuco Cancer Hospital (HCP). The clinical specimens were previously fixed in buffered formalin and embedded in paraffin. The following variables were collected in medical charts: age, sex, tumor type, location, pathological staging, Lauren classification, treatment type, lymph node number and location, positive lymph nodes, recurrence, metastasis, and death. The Human Ethics Committee of HCP approved this work (CAAE: 39976214.90000.5205).

2.2. Immunohistochemistry

Following the methods of Albuquerque et al. (2018) [15], biopsy slices were deparaffinized with xylol and rehydrated in graded ethanol. Antigen retrieval was done using citrate buffer in a microwave. Endogenous peroxidase block was performed with hydrogen peroxide 3%, followed by blocking the nonspecific binding (phosphate-buffered saline 1%) bovine serum albumin (PBS-BSA). Samples were incubated with polyclonal primary antibody anti-UDP-glucose 4-epimerase (CUSABIO, 1 : 100) overnight at 4°C. The amplification system (Easylink On, ImmPRESS™, and DAKO EnVision™) was applied, and the reaction was visualized with diaminobenzidine (DAB-H2O2). The positive control used was breast cancer tissue according to the antibody manufacturer's designation (CUSABIO TECHNOLOGY LLC), and negative controls were established by replacing the primary antibody with anti-human IgG antibody (DAKO) (supplementary file ()).

2.3. Image Analysis

Histomorphological analysis was performed with an integrated image system (BIOPTICA B20) microscope coupled to a CMOS camera (2584 × 1936 pixel resolution) with ISCapture image capture software. Samples that showed enzyme marking in more than 10% of the neoplastic cells in different degrees of intensity were considered positive and those that did not present were negative. The enzyme cell location, cytoplasmic, membrane, and perinuclear and nuclear combinations were associated with clinical-pathological parameters and outcome parameters.

2.4. Analysis of the Validation Cohort

The validation cohort analyzed in this study was extracted from the cBioPortal PC genomic (http://www.cbioportal.org) (Cerami et al., 2012; Gao et al., 2013). The Stomach Adenocarcinoma (TCGA, Provisional), comprising 411 patients, was used for analysis of the GALE expression. Briefly, the GALE mRNA expression value was compared with clinical-pathological data (age, gender, lymph node involvement, histological grade, Lauren classification, nodal status, H. pylori infection, surgical staging, radiotherapy, and relapse) and with outcome parameters (overall survival and disease-free survival), and statistical association was analyzed using Fisher's exact test and Kaplan-Meyer curves with a long-rank test. Statistical analysis was performed using GraphPad Prism (version 7) software.

2.5. Statistical Analysis

Fisher's exact test was performed in GraphPad Prism version 6.0. p < 0.05 and was considered significant. Analysis of outcome was evaluated through Kaplan-Meyer curves with a long-rank test. Multivariate logistic regression analysis was performed using STATA.

3. Results

GC patients included in this study had a mean age of 59.4 ± 12.9 (range = 30‐89) years; 47 (66.1%) were male and 24 (33.9%) were female. Immunohistochemical analysis revealed that of the 47 male cases, 34 (70.83%) were GALE positive and 13 (29.17%) were GALE negative. Of the 24 female cases, 14 (58.33%) were GALE positive and 10 (41.67%) were GALE negative. In total, 48 (67.6%) samples were positive and 23 (32.4%) were negative for GALE. GC histological types positive to GALE corresponded to tubular (Figure 1(a)), papillary (Figure 1(b)), poorly differentiated (Figure 1(c)), and mucinous (Figure 1(d)).
Figure 1

Histological types of gastric adenocarcinoma evidenced by GALE immunohistochemistry. Tubular region (a), papillary region (b), poorly differentiated region (c), and delimited mucin region (d). Scale bar: 100 μm.

All samples that presented tubular lesions were GALE positive with a predominance of cytoplasmic staining, whereas most poorly differentiated lesions were negative. GALE cellular staining was found to be cytoplasmic in 24 samples (33.8%), nuclear in 3 (4.2%), and combinations of cytoplasmic, nuclear, perinuclear, and membrane staining in 44 (61.9%) (Figure 2).
Figure 2

Immunohistochemistry of GC samples. Cytoplasmic staining (black arrow), membrane staining (hollow arrow), perinuclear staining (white arrow) (a), and nuclear staining (black arrows) (b). Scale bar: 50 μm.

In addition, 35 samples (49.3%) of the 71 patients investigated presented an adjacent normal tissue, in which 29 (82.9%) were GALE positive and 6 (17.1%) were negative (supplementary file). Here, GALE staining was observed in the basal layer of the ducts and in production cells of the gastric glands. This staining was found predominantly in the cytoplasm and membrane of epithelial cells. GALE staining was also investigated in relation to its association with GC clinical-pathological parameters. There was a significant association with well-differentiated histologic classification (p < 0.0001) when compared to poorly differentiated tissue; there was also a significant association of intestinal type (p = 0.0328) when compared to diffuse type (Lauren classification) (Table 1). Additional analysis regarding age, sex, type of surgery, initial treatment, surgical staging, lymph node involvement, nodal status, chemotherapy, radiotherapy, H. pylori infection, and relapse was not significant. Associations between cellular location staining and clinical-pathological parameters were not statistically significant either (p > 0.05).
Table 1

Association between UDP glucose 4-epimerase staining with the main clinical-pathological characteristics classified by immunohistochemistry in 71 samples of primary tumor of gastric cancer.

Clinical and pathological parametersUDP-glucose 4-epimerase (+)UDP-glucose 4-epimerase (-) p value
n (%) n (%)
Age (years)a0.453
 <6022 (30.9)13 (18.3)
 ≥6026 (36.6)10 (14.1)
Genderb0.287
 Female14 (19.7)10 (14.1)
 Male34 (47.9)13 (18.3)
Initial treatmentc0.166
 I43 (60.6)23 (32.3)
 III5 (7.0)0 (0)
Surgical stagingd (TNM)0.151
 (I and II)10 (14.1)9 (12.7)
 (III and IV)38 (53.5)14 (19.7)
Lymph node involvemente0.299
 Yes32 (45.0)12 (16.9)
 No16 (22.5)11 (15.5)
Nodal statusf0.599
 >0.319 (26.8)7 (9.8)
 <0.329 (40.8)16 (22.5)
Histological gradeg<0.0001
 GI+GII32 (45.0)3 (4.2)
 GIII16 (22.5)20 (28.2)
Lauren classificationh0.0328
 Intestinal26 (38.2)7 (10.2)
 Diffuse19 (28)16 (23.5)
Chemotherapyi0.452
 Yes28 (39.4)11 (15.5)
 No20 (28.2)12 (16.9)
Radiotherapyj1.000
 Yes15 (21.1)7 (9.8)
 No33 (46.5)16 (22.5)
Relapsel0.220
 Yes8 (11.3)7 (9.8)
 No40 (56.3)16 (22.5)
H. pylori infectionm0,707
 Yes7 (10.4)2 (3.0)
 No37 (55.2)21 (31.3)

Fisher's exact test. hLauren Classification analyzed in 68 cases. mH. pylori infection was analyzed in 67 cases.

It was also observed that GALE was able to predict Lauren's classification, exercising a protective effect in relation to the diffuse type (Table 2). This effect was independently maintained in a multivariate analysis model, considering age and surgical staging (Table 2).
Table 2

Univariate and multivariate logistic regression analysis of GALE staining.

UnivariateMultivariate
VariableOR95% CI p valueOR95% CI p value
Age (y): <60 versus ≥600.80.312.040.6420.830.312.240.718
Surgical staging0.70.242.020.510.830.262.560.747
GALE0.320.110.920.0360.330.110.980.04
Associations with overall survival were 334 days for the positive group and 514 days for the negative group (p = 0.665). In relation to disease-free survival, the positive and negative groups had a mean survival of 11 and 19 months, respectively (p = 0.228), and were not statistically significant (supplementary file). We analyzed a validation cohort composed of 411 patients with gastric adenocarcinoma extracted from the cBioPortal PC genome. GALE mRNA expression was associated with histological grade (p < 0.001). Additional analysis concerning clinical and pathological parameters (age, sex, lymph node involvement, nodal state, H. pylori infection, surgical staging, radiotherapy, and relapse) and outcome parameters (overall survival and disease-free survival) was not statistically significant (p > 0.05), ratifying our data (supplementary file).

4. Discussion

This study demonstrated that the GALE expression is associated with gastric adenocarcinomas with well and moderately differentiated histological grades. GALE staining was predominantly cytoplasmic in tubular lesions, and there was also membrane, perinuclear, and nuclear staining to that and other histological patterns. These include papillary, mucinous, and poorly differentiated. Moreover, analysis of normal segments revealed GALE positivity in the gastric glands with cytoplasmic and membrane staining profiles. UDP-galactose is an intermediate in the metabolism of D-galactose (the Leloir pathway, a known amphibolic metabolic pathway), which is conserved from Escherichia coli in humans. Alterations in GALE activity can lead to an accumulation of UDP-galactose, causing stress, stopping cell growth, and stopping cell lysis in a complex medium [16, 17]. Lee and collaborators proposed the mechanism by which GALE absence causes cellular growth to stop. This author made use of GALE negative strains of Escherichia coli and notes that bacteriostasis in the presence of D-galactose directly comes from pyrimidine deficiency or an unbalanced nucleotide pool. This might be because enough uridine and cytidine are imported from the media to support RNA synthesis, yet do not suffice in making enough UDP intermediates, such as UDP-glucose for peptidoglycan synthesis [17]. In our study, GALE expression in well and moderately differentiated gastric adenocarcinomas can be related to a less aggressive cellular profile, corroborating the association with the intestinal type of Lauren classification. However, Mitteldorf et al. observed that GALE mRNA expression was significantly different in benign and malignant samples of the thyroid, being overexpressed in papillary thyroid carcinoma [13]. It is worth mentioning that these studies compared distinct tumors and targets at different molecular levels. However, papillary thyroid carcinoma is a well-differentiated tumor, and that is in agreement with our results. Additionally, we found positive samples in adjacent normal tissue areas. According to their normal activity, the enzyme is a component of these cells acting on the metabolism of galactose and influencing the glycoprotein and glycolipid biosynthesis [11]. Associations with clinical and pathological parameters and outcome in relation to GALE mRNA expression from the validation cohort corroborated our data regarding GALE protein expression in gastric adenocarcinoma tissues.

5. Conclusion

This study is pioneering for evaluating the GC staining of GALE, showing an association of glycosyltransferase with well-differentiated tumors. In addition, further studies are needed to complement these initial findings in order to establish GALE as a biomarker of good prognosis to GC.
  17 in total

Review 1.  Alterations in glycosylation as biomarkers for cancer detection.

Authors:  Celso A Reis; Hugo Osorio; Luisa Silva; Catarina Gomes; Leonor David
Journal:  J Clin Pathol       Date:  2010-04       Impact factor: 3.411

2.  Cellular stress created by intermediary metabolite imbalances.

Authors:  Sang Jun Lee; Andrei Trostel; Phuoc Le; Rajendran Harinarayanan; Peter C Fitzgerald; Sankar Adhya
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-03       Impact factor: 11.205

Review 3.  The fundamental importance of human galactose metabolism: lessons from genetics and biochemistry.

Authors:  K G Petry; J K Reichardt
Journal:  Trends Genet       Date:  1998-03       Impact factor: 11.639

Review 4.  Gastric cancer epidemiology and risk factors.

Authors:  Douglas E Guggenheim; Manish A Shah
Journal:  J Surg Oncol       Date:  2012-11-05       Impact factor: 3.454

5.  The critical role of UDP-galactose-4-epimerase in osteoarthritis: modulating proteoglycans synthesis of the articular chondrocytes.

Authors:  Yinxian Wen; Jun Qin; Yu Deng; Hui Wang; Jacques Magdalou; Liaobin Chen
Journal:  Biochem Biophys Res Commun       Date:  2014-09-06       Impact factor: 3.575

6.  Clinicopathological Variation of Lauren Classification in Gastric Cancer.

Authors:  Yun-Chi Chen; Wen-Liang Fang; Ruei-Fang Wang; Chien-An Liu; Muh-Hwa Yang; Shu-Shun Lo; Chew-Wen Wu; Anna Fen-Yau Li; Yi-Ming Shyr; Kuo-Hung Huang
Journal:  Pathol Oncol Res       Date:  2015-10-27       Impact factor: 3.201

7.  Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data.

Authors:  Bing Jiang; Shuwen Li; Zhi Jiang; Ping Shao
Journal:  Biomed Res Int       Date:  2017-01-23       Impact factor: 3.411

Review 8.  Gastric cancer: epidemiology, prevention, classification, and treatment.

Authors:  Robert Sitarz; Małgorzata Skierucha; Jerzy Mielko; G Johan A Offerhaus; Ryszard Maciejewski; Wojciech P Polkowski
Journal:  Cancer Manag Res       Date:  2018-02-07       Impact factor: 3.989

9.  GalNAc-T15 in gastric adenocarcinoma: Characterization according to tissue architecture and cellular location.

Authors:  Mário S De Souza Albuquerque; Antônio F Da Silva-Filho; Marina Ferraz Cordeiro; Maria de Fátima Deodato de Souza; Michael W L Quirino; Luiza R Amorim Lima; Maira G Da Rocha Pitta; Mario R Martins; Moacyr J B De Melo Rêgo
Journal:  Eur J Histochem       Date:  2018-06-14       Impact factor: 3.188

Review 10.  The role of glycans in the development and progression of prostate cancer.

Authors:  Jennifer Munkley; Ian G Mills; David J Elliott
Journal:  Nat Rev Urol       Date:  2016-04-19       Impact factor: 14.432

View more
  1 in total

1.  Inverse Molecular Docking Elucidating the Anticarcinogenic Potential of the Hop Natural Product Xanthohumol and Its Metabolites.

Authors:  Katarina Kores; Zala Kolenc; Veronika Furlan; Urban Bren
Journal:  Foods       Date:  2022-04-26
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.