Tumor suppressor candidate 3: A novel grading tool and predictor of clinical malignancy in human gliomas

Abstract

For several years, the cause of autosomal recessive mental retardation has been attributed to the deletion or mutation of a gene named tumor suppressor candidate 3 (TUSC3). Previous research has identified that TUSC3 is a potential tumor suppressor gene in oral epidermoid carcinoma, lung cancer and esophageal cancer. However, to the best of our knowledge, no previously published data has existed on the expression of TUSC3 in gliomas. The present study focused on the expression of TUSC3 in brain gliomas. Additionally, the present study sought to identify he association between TUSC3 expression and the typical clinical and pathological disease manifestations of gliomas. TUSC3 levels were evaluated using a western blot assay and immunohistochemistry on tissue microarray slides. Results indicated a significant decrease in TUSC3 expression in glioma tissues compared with the normal adjacent tissues. Furthermore, TUSC3 expression and World Health Organization grade demonstrated an inverse association in patients with glioma. This revealed that lower levels of TUSC3 in gliomas may be associated with a poorly-differentiated (high grade) tumor and thus a higher malignancy. Through the combination of the results of the present study and future research projects, TUSC3 may be a novel grading tool that assists with evaluating tumor malignancy and consequently a more active therapeutic regimen may be used in patients with glioma.

Introduction

The most prevalent primary malignancy in the central nervous system is the glioma, which constitutes ~77% of all malignant brain tumors worldwide in 2007 (1,2). At present, the pathogenesis of gliomas remains unknown. Nomenclature of gliomas is specific to the type of cell affected, including astrocytomas, oligodendrogliomas, ependymomas and mixed glioma (1–3). The glioma shares histological features with each specific cell type, but does not necessarily originate from the cell type depicted in its nomenclature (4). A variety of grading systems for tumor types are available, but the World Health Organization (WHO) grading system (2) is the most common for gliomas. This system categorizes tumor types from grade I to grade IV, with grade I being the least advanced and having the most positive prognosis to IV being the most advanced and having the worst prognosis.

The conventional therapeutic regimen for glioma consists of varying combinations of surgical procedures, radiotherapy and chemotherapy. However, this approach has been ineffective for a number of patients, resulting in a rapid progression of the disease (5). For refractory forms of the disease, previous studies have focused on molecular biomarkers to identify novel drug targets, resulting in the development of novel therapeutic approaches, which demonstrate encouraging results (6).

The tumor suppressor candidate 3 (TUSC3) gene, also referred to as N33, M33, MRT7, MRT22, oligosaccharyltransferase (OST) 3 homolog A (OST3) and D8S1992, is positioned on chromosome region 8p22 and encodes the 34 kDa TUSC3 protein (7). It was originally discovered by MacGrogan et al (8) in 1996. The TUSC3 mRNA may be present in large quantities in a variety of cells and tissues including prostate, colon, lung, liver, ovary, placenta, testis, brain and adipose tissues (9), yet it is rare in other tissues, including in bone marrow. TUSC3 shares a substantial amount of homologous sequences with Ost3p, a subunit of the OST complex, and serves a function in the N-linked glycosylation reactions of the protein folding process (10–12). With emerging research conducted over the past several years, it has been determined that TUSC3 is associated with autosomal recessive mental retardation (ARMR) (13–15). Previously, studies had identified the deletion of TUSC3 in a number of cancer types including oral squamous cell carcinoma and lung cancer. This resulted in the identification of TUSC3 as a potential tumor suppressor gene (16–17). Multiple studies have been conducted to determine the association between TUSC3 expression and the development of a tumor (16–20). However, to the best of our knowledge, there has been no previously published data on the expression of TUSC3 in gliomas. In the present study, an investigation surrounding the expression of TUSC3 in brain glioma was conducted and the association between TUSC3 expression and the clinicopathological parameters of gliomas was determined. The results of the present study may help to identify the potential prognostic and therapeutic targets for brain gliomas.

Materials and methods

Tissue samples

A total of 12 pairs of glioma tissue samples were surgically removed from patients at the Qianfoshan Hospital (Shandong, China). A total of 6 male and 6 female patients participated in the study, and the mean age was 53.1 years (range, 34–73). The tissues were obtained between August 2015 and October 2015. None of the patients had been exposed to any other therapeutic interventions, including chemotherapy or radiotherapy, prior to this surgery. Tissue microarray slides were purchased from Alenabio (Xi'an, China). The slides included 38 cases of astrocytoma, 14 cases of glioblastoma, 6 cases of oligodendrogliomas, 1 case of anaplastic ependymoma, 1 case of medulloblastoma and 13 cases of normal adjacent tissue. Patients providing adequate histological material and complete clinical data were eligible to participate in the present study. Patients with a history of chemotherapy, radiotherapy or other therapeutic interventions which may affect the results of the present study were excluded. Table I represents the clinicopathological characteristics of patients with brain glioma, who were clinically staged according to the WHO grading system (2). The WHO grading scale is as follows: WHO grade I are well-differentiated, WHO grade II are moderately-differentiated, WHO grade III are poorly differentiated and WHO grade IV are undifferentiated. WHO grade I–II are referred to as low-grade gliomas and WHO grade III–IV are referred to as high-grade gliomas. The clinicopathological information of all participants are provided in Table I. Tumor classification of each of the patients was determined by two pathologists from Shandong Provincial Qianfoshan Hospital (Shandong, China) through use of the WHO grading system. The Ethical Committee of Shandong Provincial Qianfoshan Hospital ethically approved present study, and all patients prior to the study provided written informed consent.

Table I.

Baseline clinicopathological characteristics of patients with glioma and patients providing control tissues.

		TUSC3 expression
Characteristics	Number	Positive	Negative	Positive rate (%)	P-valuea
Control patients
Age median (range), years	46 (26–76)
Gender (%)
Male	6 (46.2)
Female	7 (53.8)
Patients with glioma
Age median (range), years	43 (14–66)				0.007
<43	30 (50.0)	6	24	20.0
≥43	30 (50.0)	17	13	56.7
Gender					1.000
Male	35 (58.3)	12	23	34.3
Female	25 (41.7)	8	17	32.0
Pathological classification
Astrocytoma	38 (63.3)	18	20	47.4
Oligodendroglioma	6 (10.0)	5	1	83.3
Glioblastoma	14 (23.4)	0	14	0
Other types	2 (3.3)	0	2	0
WHO gradeb
I	1 (1.7)	1	0	100
II	36 (60.0)	20	16	55.6
III	9 (15.0)	3	6	33.3
IV	14 (23.3)	0	14	0

^aPositive rates of TUSC3 expression were compared by Fisher's exact test

^bWHO grade was evaluated by two 2 independent pathologists from Qianfoshan Hospital (Jinan, China). WHO grade I–II (low-grade) gliomas are well-differentiated, whereas WHO grade III–IV (high-grade) gliomas are undifferentiated or anaplastic. TUSC, tumor suppressor candidate; WHO, World Health Organization.

Western blot analysis

Tissue samples were homogenized using Radio Immunoprecipitation Assay buffer (Beyotime Institute of Biotechnology, Haimen, China) with proteinase inhibitors, resulting in cell lysis. The proteins were quantified by BCA protein quantitative kit (Beyotime Institute of Biotechnology, Haimen, China) SDS-PAGE (12%) was administered to equal amounts (30 µg) protein from each lysate and the resulting products were transferred onto a polyvinylidene membrane. Blocking of non-specific binding was achieved by placing the membrane in 5% non-fat dried milk containing 0.1% Tween-20 at room temperature for 3 h. The membrane was incubated at 4°C overnight in the presence of primary antibodies for human TUSC3 goat polyclonal antibody (dilution, 1:400; cat no. sc-98191; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) and β-actin (dilution, 1:1,000; cat no. sc-98191; Santa Cruz Biotechnology, Inc., Dallas, TX, USA). Subsequent to 3 washes with PBST buffer (PBS with 0.05% Tween-20) to remove unbound primary antibodies, the membrane was further incubated for 1 h at room temperature with horseradish peroxidase (HRP)-conjugated secondary antibodies (rabbit anti-goat IgG, dilution, 1:5,000; cat no. TA130031; OriGene Technologies, Inc., Beijing, China). Following washing, the protein was identified through detection of immunoreactive bands using Western Lightning Chemiluminescence Reagent (Millipore; Merck KGaA, Darmstadt, Germany) and the bands were analyzed using ImageJ (version 1.5; National Institutes of Health, Bethesda, MD, USA).

Immunohistochemistry (IHC) assay

IHC staining was performed directly on the 5-µm tissue slides. The first step was to dewax the slides using xylene. Following wax removal, the slides were rehydrated using a series of decreasing alcohol concentrations (100, 90, 70 and 50% ethanol; 5 min each) followed by incubation for 2 h at 56°C. Then, 3% H₂O₂ was administered for ~20 mins at room temperature to block endogenous peroxidase activity. For antigen retrieval, sodium citrate (0.01 M, pH 6.0) was used as a buffer. The slides were incubated at 95°C for 20 min in a household microwave oven (600 W). Next, 10% normal goat serum (cat no. ZLI-9022; OriGene Technologies, Inc., Rockville, MD, USA) was added to the slides to block non-specific binding sites in order to reduce background staining. The slides were then incubated with the TUSC3 goat polyclonal antibody (dilution, 1:100; cat no. sc-98191; Santa Cruz Biotechnology, Inc.) overnight at 4°C. Phosphate-buffered saline was used to wash the slides 3 times prior to application of the bio-labeled secondary antibody, Poly-HRP anti-goat immunoglobulin G secondary antibody (cat no. PV-9003; OriGene Technologies, Inc.) at a 1:200 dilution for 40 min at 37°C. The sections were stained with diaminobenzidine at room temperature for 2 min, followed by a counterstain with hematoxylin at room temperature for 1 min. The slides were dehydrated using increasing concentrations of alcohol and mounted using neutral gum. Photomicrographs were captured under a light microscope (magnification, ×400; BX-51, Olympus Corporation, Tokyo, Japan). Aperio Image Scope (version 12.0.1.5027; Aperio Technologies, Inc., Vista, CA, USA) was used to score the stained cells using a digital pathology system.

The cytoplasm and cell membrane were identified as regions of TUSC3 expression. Two pathologists from the Shandong Provincial Qianfoshan Hospital independently evaluated the immunoreactivity of TUSC3 expression, then groups were determined according to the respective immunoreactive score (IRS). IRS are calculated by multiplying the staining intensity by the percentage of positively stained cells. Staining intensity was classified as 0 (negative), 1 (weak), 2 (moderate) or 3 (strong). Percentage of positively stained cells was scored as 0 (negative), 1 (<25% of the cells), 2 (25–50% of the cells), 3 (50–75% of the cells) or 4 (>75% of the cells). Through multiplication of these two scores, a final score was calculated. An IRS value of 6 was determined to be the cut-off value separating specimens into two groups of negative or positive expression.

Statistical analysis

Statistical analysis of the results was conducted using SPSS 13.0 software (SPSS, Inc., Chicago, IL, USA). Differences in the grayscale value of protein expression were compared using a paired-t test. The data are presented as the mean ± standard error. Differences in TUSC3 expression between two groups were compared using a Wilcoxon's rank sum test. The Spearman's rank correlation coefficient method was used to determine the strength and direction of the association between two groups. A Fisher's exact test was performed to compare the positive rate between two groups. The comparison between clinicopathological parameters (age, gender, histological classifications and WHO grading) were performed using a Fisher's exact test. All reported P-values were two-sided and P<0.05 was considered to indicate a statistically significant difference. A receiver operating characteristic curve was used to determine the cut-off IRS value of 6 for TUSC3 expression levels in patients. Relative TUSC3 expression for each band was analyzed using ImageJ (version 1.51; National Institutes of Health, Bethesda, MD, USA).

Results

Comparison of TUSC3 protein expression between tumor and normal adjacent brain tissue in patients with glioma

To begin with, the TUSC3 expression levels were determined through western blot analysis in glioma tissues and normal adjacent tissues, which were surgically collected at Qianfoshan Hospital. TUSC3 expression was significantly reduced in glioma tissues when compared with normal adjacent tissue (1.631±0.4534 vs. 0.5579±0.1723; P=0.038; Fig. 1). These results are indicative of the pivotal function TUSC3 may serve in glioma development.

Figure 1.

TUSC3 expression was detected in glioma tissues and NAT. (A) TUSC3 expression was detected in glioma tissues and NAT by western blot analysis. Each number represented one patient (left lane: NAT and right lane: glioma tissues). (B) TUSC3 expression levels were quantified for comparison. A paired t-test was used to analyze the difference between TUSC3 expression levels between glioma tissues and NAT. P=0.038 vs. NAT. TUSC, tumor suppressor candidate; NAT, normal adjacent tissue.

Basic clinical feature of patients for tissue array

Furthermore, the levels of TUSC3 expression were evaluated using a tissue array. Table I outlines the basic clinicopathological features of the patients with glioma and control patients who provided normal adjacent tissues. The median age of the controls was 46 years (range, 26–76 years) and that of patients with glioma was 43 years (range, 14–66 years). Difference in sex and age between normal controls and patients with glioma were not statistically significant. However, when the patients with glioma were grouped according to median age, analyses revealed a significant increase in positive TUSC3 expression in patients aged≥43 compared with patients <43 (χ²=8.531, P=0.007; Table I).

Expression of TUSC3 in normal adjacent tissues and tumor tissues

The positive rates of TUSC3 expression in normal adjacent tissue and glioma tissues were 76.9% (10/13) and 40.0% (24/60), respectively. The difference in TUSC3 expression levels between the two groups was revealed to be statistically significant (χ²=5.854, P=0.029; Table II). The results displayed in Fig. 1 demonstrating lower TUSC3 expression levels in glioma tissues support this data.

Table II.

Comparison of TUSC3 expression between normal tissue and glioma tissue.

		TUSC3 expression
Characteristics	Number	Positive	Negative	Positive rate (%)	P-valuea
Normal adjacent tissue	13	10	3	76.9	0.029
Glioma tissue	60	24	36	40.0

^aFisher's exact test was used to analyze the positive rates of TUSC3 expression. TUSC, tumor suppressor candidate.

Association between TUSC3 expression and tumor pathological classification

When the patients were grouped according to tumor pathological classification, which consisted of astrocytoma, oligodendroglioma, glioblastoma and other types (including one medulloblastoma and one anaplastic ependymoma), there was a statistically significant difference in TUSC3 expression amongst the different pathological groups (sum rank, P<0.0001; Fig. 2). Furthermore, the positive rates of TUSC3 expression in the different pathological groups were compared using Fisher's exact test. Results revealed that the highest TUSC3 expressionwas in the oligodendroglioma group (83.3% positive rate), with little to no expression in glioblastoma or other types (Table I).

Figure 2.

Expression of TUSC3 in association with pathological classification. TUSC3 expression levels were compared between different pathological groups in patients with glioma. Whether there was a difference among the 4 groups was analyzed using the Wilcoxon rank sum test. P<0.05. TUSC, tumor suppressor candidate.

Expression of TUSC3 in association with the WHO grade of patients with glioma

The pathology of the tumor was evaluated, resulting in the categorization of the glioma tissues into grades. According to the WHO grade system, all of the glioma tissues were separated into grade I–IV (Fig. 3). As demonstrated in Fig. 3, TUSC3 expression decreased as the WHO grade increased. As presented in Fig. 4, comparisons between the groups revealed that the TUSC3 positive rate was significantly different amongst different WHO grades (sum rank, P<0.0001; Fig. 4A). To further confirm the results above, a numerical value of correlation between TUSC3 expression and the WHO grade was determined using the Spearman correlation method. TUSC3 expression demonstrated a negative correlation with WHO grade (P<0.0001; rs=−0.3451; Fig. 4B). Thus, patients with higher grade tumors had lower TUSC3 expression levels.

Figure 3.

Immunohistochemical staining of tumor suppressor candidate 3 expression in human gliomas. (A) WHO Grade I or well-differentiated tumor tissue. (B) WHO Grade II or moderately-differentiated tumor tissue. (C) WHO Grade III or poorly differentiated tumor tissue. (D) WHO Grade IV or undifferentiated tumor tissue. Magnification ×40. WHO, World Health Organization.

Figure 4.

Expression of TUSC3 in association with the WHO grade of patients with glioma. (A) TUSC3 expressions among different WHO grade classified patients with glioma were analyzed using a Wilcoxon's rank sum test. (B) Spearman's rank correlation coefficient method was used to examine the association between TUSC3 expression and the WHO grade, P<0.05. TUSC, tumor suppressor candidate; WHO, World Health Organization.

Discussion

Clinical treatment results have demonstrated that gliomas are the main cause of mortality in patients with brain tumors, particularly in child patients with high-grade glioma (21). This reveals the urgency to identify unique indicators for diagnosis and prognosis, and to develop novel therapeutic approaches for gliomas.

The TUSC3 gene is 224,265 bp in length, with 11 exons spanning the full length of the genomic DNA on chromosome 8p22 (7). TUSC3is considered an ortholog of the yeast Ost3p, initially identified as a 34 kD subunit in the yeast OST complex (22,23). Human TUSC3 protein sequences share ~20% identities of the protein domain organization with the yeast subunit OST3. Additionally, the two contain an active binding domain at the amino terminal, central acidic and zinc-binding domains, and a transmembrane domain at the carboxyl terminal (11). The transmembrane segments and N-terminal signal peptide are conserved (24).

TUSC3 serves notable functions in maintaining normal cell function. In 2008, Garshasbi et al (14) revealed TUSC3 homozygous deletion in 7 patients with non-syndromic ARMR in 4 sibships. Other studies additionally demonstrated that TUSC3 mutations or deletions are involved in the onset of ARMR (15,25). Accumulated data has established that TUSC3 and cancer are notably associated (16–20). It has been previously demonstrated that TUSC3 is deleted or diminished in a number of cancer types, including prostate, ovarian, gastric, pancreatic, esophageal and lung cancer (16–20). Ribeiro et al (17) revealed that the loss of the TUSC3 gene has a potential association with the malignancy of oral squamous cell carcinoma. It was reported that TUSC3 loss is associated with a high mortality rate in larynx and pharynx squamous cell carcinoma (16). Previous observations had demonstrated lower expression levels of TUSC3 in patients who were lymph node metastasis positive (LNM+) compared with patients who were lymph node metastasis negative (LNM-) (18). It was additionally discovered that decreased TUSC3 levels predict a poor prognosis of patients with esophageal squamous cell carcinoma (20). However, to the best of our knowledge, there is no known data on the significance of TUSC3 expression in patients with brain glioma, and the present study is the first that analyzes the association between the TUSC3 expression levels and the clinical characteristics of gliomas.

Through the use of western blot and tissue microarray assays, it was identified that TUSC3 expression was significantly lower in glioma tissues compared with normal adjacent tissues. Furthermore, TUSC3 expression demonstrated a significant negative correlation with WHO grade in patients with glioma (P<0.0001; rs=−0.3451). Due to the fact that glioma WHO grade is an indicator for tumor malignancy and prognosis, the results of the present study indicated an association between low TUSC3 expression with a poorly-differentiated tumor grade and higher malignancy. The present results have the potential to make a notable contribution to the field of medicine. By combining the present research and further research in the future, TUSC3 may become a novel grading tool that assists in evaluating tumor malignancies and consequently a therapeutic regimen may be used for patients with glioma.

However, when the patients were grouped according to median age, analyses revealed a significant increase in TUSC3 positive expression in the patients who were age 43 or above compared with the patients who were younger than age 43 (χ²=8.531, P=0.007; Table I). These results need to be verified using a larger sample. Furthermore, due to the screening rules for patient inclusion, there was a relatively small number of samples included in the present study. As a result, the TUSC3 expression in I–IV WHO grades of all histological types were not analyzed separately. Larger sample sizes will be used in further research.

With the expanding research in this area, the mechanisms for the involvement of the TUSC3 gene in cancer development have been illustrated. Vaòhara et al (26) and Horak et al (27) demonstrated that the loss of the TUSC3gene affects N-glycosylation events in the development of ovarian cancer and prostate cancer. However, the precise molecular mechanism concerning the involvement of TUSC3 in the development of cancer remains unclear. As mentioned previously, a number of studies have demonstrated that TUSC3 is an integral endoplasmic reticulum protein involved in N-glycosylation (17,26). In addition, one previous study indicated that N-glycosylation abnormalities affect the phosphoinositide 3-kinase-protein kinase B pathway, thus affecting the growth of tumor cells (28). However, further studies need to be performed regarding the mechanisms of TUSC3 involvement in glioma development.

Prior to the present study, limited mechanisms for TUSC3 gene dysfunction in tumors had been identified. Detected in multiple cancer types, aberrant TUSC3 reductions were identified due to a mutation resulting in its deletion (17,29) as well as its promoter CpG island methylation (27,30). Further research exploring the causes of TUSC3 dysfunction in gliomas, including genetic and epigenetic alterations, will aid understanding of the mechanism of TUSC3-associated tumorigenesis.

Due to its functional significance in protein maturation and the development of multiple tumor types, it has been proposed that TUSC3 has the potential to be a useful biomarker and a therapeutic target in the diagnosis and therapy of ovarian cancer, prostate cancer and oral squamous cell carcinoma, particularly for refractory gliomas. There are various potentials for the therapeutic targeting of the TUSC3 protein in a tumor. Drug discoveries to reinstate TUSC3 function in diseases will focus on avenues including recombinant Ad-TUSC3 gene therapy, targeting the TUSC3 interactive proteins, or targeting destabilized oncogenic TUSC3 mutants through the design of mutant-specific TUSC3 rescue drugs. Although substantial knowledge was gained from the present study, numerous structural aspects of TUSC3 function have remained elusive, including details of TUSC3 interactive proteins and the specifics of TUSC3 mutations in diseases. To be a promising therapy, TUSC3 targeting therapy requires further exploration.