B3GNT3: A prognostic biomarker associated with immune cell infiltration in pancreatic adenocarcinoma

Introduction

Pancreatic adenocarcinoma (PAAD) is an aggressive type of malignancy, characterized by rapid progression and dismal prognosis. In most patients, PAAD is unresectable after diagnosis (1). According to National Institutes of Health statistics, regardless of tumor stage, the 5-year survival rate of patients with PAAD is only 10% based on cases of PAAD-associated mortality between 2010 and 2016 (2). PAAD exhibits a limited response to traditional therapy approaches; however, a number of novel therapies, including immunotherapy, have been tested in the clinical trial phase (3). Unfortunately, the immunosuppressive tumor microenvironment (TME) limits the efficacy of immunotherapy (4). Therefore, the discovery of novel biomarkers that characterize TMEs that would be suitable candidates for immunotherapy is urgently required for the prognostic assessment of patients with PAAD (5).

UDP-GlcNAc:βGal β-1,3-N-acetylglucosaminyltransferase 3 (B3GNT3) is a type II transmembrane protein on the Golgi membrane that acts as the catalytic center in the synthesis of poly-N-acetyllactosamine chains and generation of the backbone components of dimeric sialyl Lewis A (6). Additionally, this gene serves vital roles in L-selectin ligand synthesis, which is involved in lymphocyte homing and trafficking. Due to its biological characteristic, B3GNT3 has been considered to be involved in the tumorigenesis of non-Hodgkin's lymphoma (7,8). B3GNT3 expression is tissue-selective. It is aberrantly expressed in the pancreas and distributed throughout the gastrointestinal tract, liver, placenta, kidney, trachea, neutrophils and lymphocytes (9,10). However, to the best of our knowledge, the role of B3GNT3 in the tumorigenesis of PAAD has not been fully revealed.

Currently, the molecular function of B3GNT3 is controversial. Ho et al (11) reported that B3GNT3 is an independent predictor for a good prognosis of neuroblastoma via the suppression of extend core (T-antigen) oligosaccharide formation. However, other researchers have revealed that B3GNT3 has a negative role in cancer. For example, Zhang et al (12) claimed that increased expression levels of B3GNT3 were associated with pelvic lymph node metastasis and poor prognosis in patients with early-stage cervical cancer. Furthermore, Gao et al (13) demonstrated that, among patients who suffer from non-small cell lung cancer, patients with high B3GNT3 expression have worse disease-free survival (DFS) time and overall survival (OS) time. According to another study, B3GNT3 is essential for the epidermal growth factor-induced communication of receptor programmed cell death protein-1 (PD-1) and programmed death-ligand 1 in triple-negative breast cancer (14). Therefore, the downregulation of B3GNT3 may enhance cytotoxic T cell-mediated anti-neoplastic effects. Overall, B3GNT3 may have tumor-promoting and tumor-suppressive effects.

In the present study, The Cancer Genome Atlas (TCGA) was used to analyze the immunohistochemical (IHC) results of samples from a single center to evaluate the prognostic value of B3GNT3 expression in PAAD. Gene Set Enrichment Analysis (GSEA) was used to gain further insights into the biological pathways involved in the pathogenesis of PAAD. Furthermore, the association between B3GNT3 and tumor-infiltrating immune cells in the TME was examined to identify a probable immunotherapy target in PAAD.

Materials and methods

Data source and clinical information

The gene expression profiles of PAAD (171 cases; workflow type, HTSeq-Counts), and the relevant clinical information and pathologic characteristics were downloaded from TCGA (https://portal.gdc.cancer.gov; Project ID, TCGA-PAAD; Table I).

Table I. Clinical information from TCGA database (project ID, TCGA-PAAD).

Table I.

Clinical information from TCGA database (project ID, TCGA-PAAD).

Clinical characteristics	Total, n (n=171)	Percentage
Sex
Male	93	54.4
Female	78	45.6
Age, years
≤60	57	33.3
>60	114	66.7
T stage
T1	7	4.1
T2	21	12.3
T3,4	141	82.5
N stage
N1	47	27.5
N0	119	69.6
M stage
M1	77	45
M0	4	2.3
Grade
G1	28	16.4
G2/3/4	141	82.5
Histology
PDAC	140	81.9
Others	30	17.5
MSIa
MSI-L	9	5.3
MSS	137	80.1

a Some incomplete cases were excluded. PDAC, pancreatic ductal adenocarcinoma; MSI, microsatellite instability; MSS, microsatellite stable; MSI-L, low-frequency MSI.

IHC analysis

To assess the protein expression patterns of B3GNT3 and CD68, IHC staining was performed on 177 paraffin-embedded PAAD samples (collected from the Department of Pathology, Changhai Hospital, Navy Medical University, Shanghai, China). The inclusion criteria were as follows: i) Histological type of adenocarcinoma; and ii) treatment by surgery. Among 177 cases, 115 were male and 62 were female. The age range was 32–86 years with a mean age of 60.98±10.75 years and a median age of 62 years. All data were collected between July 2018 and December 2019. The IHC procedures abided by established protocols (12); however, 16 tissue dots on the microarrays were missed during the procedure. In brief, fresh tissues were fixed in 10% formalin for 48 h at room temperature and then dehydrated in ethanol, cleared in xylene for transparence and embedded in molten paraffin. The paraffin-embedded tissue block was sectioned into 4-µm thick slices using a microtome (Leica Microsystems, Inc.). Paraffin sections were heated, dewaxed in xylene and hydrated in different concentrations of ethanol (100, 95, 85 and 70%) and washed in PBS buffer (15). The sections were submerged in a high-pressure cooker filled with EDTA antigenic retrieval buffer and heated at 110°C for 5–10 min. Endogenous peroxidase activity was inhibited by incubation with 3% hydrogen peroxide for 25 min, followed by incubation with goat serum working fluid (undiluted; cat. no. ZLI-9056; OriGene Technologies, Inc.) to block the non-specific protein binding for 30 min at 25°C. Subsequently, the specimens were coated with polyclonal antibodies against B3GNT3 (dilution, 1:100; cat. no. 18098-1-AP; ProteinTech Group, Inc.) and CD68 (dilution, 1:800; cat. no. 76437; Cell Signaling Technology, Inc.) (16), and incubated overnight at 4°C. PBS replaced the primary antibodies as a negative control. After three washes with PBS with 0.2% Tween-20, the tissue slices were incubated with a biotinylated anti-rabbit/mouse secondary antibody working fluid (undiluted; cat. no. PV8000-1; OriGene Technologies, Inc.) at room temperature (25°C) for 30 min. For visual staining, 3,3-Diaminobenzidine (cat. no. ZLI-9017; OriGene Technologies, Inc.) was dripped on the sections. The tissue sections were then washed with running water, counterstained with 10% Mayer's hematoxylin at room temperature for 1–3 min, dehydrated in anhydrous ethanol and sealed with a coverslip.

The IHC staining results were observed using a confocal microscope (Olympus Corporation) and scored independently by two pathologists blinded to the clinical characteristics in a semi-quantitative manner. The tissue specimens were scored based on the proportion of positive cancer cells and staining strength. A positive reaction was defined as a cell exhibiting brown staining in the cytoplasm. For B3GNT3 expression scoring, the staining index was determined as the staining intensity score (0, negative; 1, weak; 2, moderate; 3, strong) multiplied by the score for the positive area (0, <5%; 1, 5–25%; 2, 25–50%; 3, 50–75%; 4, >75%). Therefore, the final sores were 0, 1, 2, 3, 4, 6, 8, 9 and 12. For statistical analysis, the scores of 0–1 were considered negative; 2–4 were considered weak; 6 and 8 were considered moderate; and 9 and 12 were considered strong. For immune cells, the proportion of positive cells was counted and the samples were classified into four groups: 0, <5%; 1, 5–25%; 2, 25–75%; and 3, >75%.

GSEA

GSEA was performed to investigate the difference in survival between the high and low B3GNT3 expression groups using GSEA software (http://www.broadinstitute.org/gsea; version 4.1.0 for Windows). Gene set permutations were conducted 1,000 times for each analysis. The expression degree of B3GNT3 was used as a phenotype marker. The nominal P-value and normalized enrichment score were used to rank the enrichment pathways in each phenotype.

Tumor Immune Estimation Resource (TIMER) database analysis

The tumor immune cell infiltration characterization of PAAD was estimated using data provided by TIMER web portal (http://cistrome.dfci.harvard.edu/TIMER/). The correlations among B3GNT3 and different immune cells and associated gene markers were explored. The related module generated scatter plots of the expression of a pair of user-defined genes in pancreatic cancer, as well as the Spearman's correlation analysis and the estimated statistical significance.

Tumor-Immune System Interaction Database (TISIDB) analysis

The TISIDB web portal (http://cis.hku.hk/TISIDB) comprises 988 identified immune-associated oncogenes and antitumor genes, high-throughput screening techniques, exome and RNA sequencing data, and a variety of resources for immunological data collected from other public databases. It facilitates the analysis of the interaction of certain genes with immunocytes, immunomodulators and cytokines. In the present study, this database was utilized to investigate the associations between B3GNT3 expression and lymphocytes and immunomodulators (15,17).

Statistical analysis

Clinical data and B3GNT3 expression information were collected from TCGA database and analyzed using R studio (https://cran.r-project.org/; version 1.2.1335) and SPSS (version 23.0.0; IBM Corp). All data are presented as the mean ± SD. The association between clinicopathologic features and B3GNT3 expression was analyzed using an unpaired t-test. A univariate Cox proportional hazards model was used to evaluate risk factors associated with the survival of patients with pancreatic cancer. Subsequently, clinical parameters with P<0.05 were used in a multivariate Cox proportional hazards model to assess prognostic factors. The OS time associated with B3GNT3 expression was examined by Kaplan-Meier analysis to analyze the diversity between the high- and low-expression groups. The cut-off value of B3GNT3 expression was determined by its median value. The log-rank P-value was also computed. Clinical information, such as survival-associated IHC results, was analyzed using Cox regression analysis. The correlation analyses of B3GNT3 and immune infiltration were based on Pearson's correlation analysis (after tests of normal distribution) and Spearman's regression analysis. While gene set permutations were conducted 1,000 times for each analysis, other analyses were repeated only once. All statistical tests were two-sided, and P<0.05 was considered to indicate a statistically significant difference.

Results

B3GNT3 expression is associated with survival in PAAD

First, B3GNT3 expression in pancreatic cancer was investigated using TCGA data. A cohort analysis revealed that B3GNT3 expression was significantly higher in pancreatic ductal adenocarcinoma tissues than in normal tissues at the mRNA level (Fig. 1A). Kaplan Meier survival curves were generated to analyze the association between B3G NT3 expression and the prognosis of the pancreatic cancer cohort using follow-up information. Patients in the high B3GNT3 expression group had a shorter OS time and DFS time [OS: Hazard ratio (HR)=2.1, P=0.00076; DFS: HR=1.6, P=0.029; Fig. 1B and C].

Figure 1. Effect of TFAP2B expression in patients with PAAD in TCGA cohort. (A) B3GNT3 expression in pancreatic cancer (47.45±29.06) and normal pancreas (7.36±7.44) samples. Effect of B3GNT3 expression on (B) disease-free survival and (C) overall survival in patients with pancreatic adenocarcinoma in the cohort from TCGA (n=171; overall survival HR=2.1, P=0.00076; disease-free survival HR=1.6, P=0.029). **P<0.01. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; HR, hazard ratio; TPM, transcripts per million.

IHC was performed to estimate B3GNT3 protein expression in a retrospective cohort of 177 pancreatic ductal adenocarcinoma samples, among which 16 cases were censored. Immunoreactivity to the B3GNT3 antibody was detected primarily in the cytoplasm (Fig. 2). The IHC staining of B3GNT3 was positive in 137 cases, among which 41 cases (30%) were stained weakly for B3GNT3, 62 (45%) were stained moderately and 34 (25%) were stained strongly. Furthermore, Cox regression analysis indicated that the group with the highest expression levels of B3GNT3 had worst outcomes (Fig. 3).

Figure 2. Immunohistochemical analysis of B3GNT3 in pancreatic adenocarcinoma. (A) Negative, (B) weak, (C) moderate and (D) strong B3GNT3 expression in adenocarcinoma tissues. Magnification, ×200. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3.

Figure 3. Overall survival of 161 patients with pancreatic adenocarcinoma in relation to B3GNT3 status. Patients with pancreatic cancer with higher B3GNT3 expression had poorer outcomes. The P-value shown in the figure applies to the comparison of all groups. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3.

B3GNT3 expression is associated with clinicopathologic factors

The association between B3GNT3 expression and the clinicopathological characteristics of patients with PAAD was analyzed using data from TCGA. High B3GNT3 expression in PAAD was significantly associated with intraepithelial neoplasia, tumor/topography (18), stage and microsatellite instability (Fig. 4). The univariate analysis revealed that high expression levels of B3GNT3 were associated with poor OS time in PAAD. Other clinicopathologic variables associated with poor survival included high grade, advanced stage, high levels of tumor/topography and microsatellite instability (Table II).

Figure 4. Association between B3GNT3 expression and clinicopathologic characteristics. (A) Clinical stage: Stage 1 (35.09±26.66) vs. Stage 2/3/4 (49.24±28.86). (B) Tumor/topography: T1/T2 (37.82±26.32) vs. T3/T4 (49.64±29.09). (C) Grade: G1 (34.60±26.75) vs. G2/3/4 (49.65±28.91). (D) MSI: MSI-L (69.43±21.43) vs. MSS (47.69±28.83). B3GNT3 expression was associated with malignant behavior of pancreatic cancer. *P<0.05. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; MSI, microsatellite instability; MSS, microsatellite stable; MSI-L, low-frequency MSI.

Table II. Associations between overall survival and clinicopathologic characteristics in TCGA patients analyzed using Cox regression analysis.

Table II.

Associations between overall survival and clinicopathologic characteristics in TCGA patients analyzed using Cox regression analysis.

Clinicopathologic variable	OR	P-value	95% CI
Grade (1 vs. grade 2/3/4)	2.160	0.019	1.137-4.104
Stage (I vs. II/III/IV)	2.283	0.038	1.046-4.980
Topography (T1/2 vs. T3/4)	2.021	0.030	1.071-3.815
MSI (MSI-L vs. MSS/MSI-H)	0.450	0.046	0.206-0.985
B3GNT3	2.025	0.016	1.325-3.093

[i] B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; MSI, microsatellite instability; MSS, microsatellite stability; MSI-H, microsatellite instability-high; MSI-L, microsatellite instability-low; OR: Odds ratio.

GSEA identification of a B3GNT3-related signaling pathway

GS EA between the low- and high-expression B3GNT3 datasets was performed to identify differentially activated signaling pathways in pancreatic cancer (Fig. 5; Table III).

Figure 5. Enrichment plots from Gene Set Enrichment Analysis. The results were analyzed and it was revealed that pathways, such as ‘chemokine mediated signaling pathway’, ‘negative regulation of STAT cascade’ and ‘positive regulation of natural killer cell mediated immunity’, were mostly enriched in pancreatic adenocarcinoma samples with low B3GNT3 expression. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; ES, enrichment score; GO, Gene Ontology.

Table III. Gene sets enriched in phenotype low.

Table III.

Gene sets enriched in phenotype low.

Gene set	NES	NOM P-value	FDR q-val
GO: CHEMOKINE MEDIATED SIGNALING PATHWAY	−1.89	0.006	0.16
GO: POSITIVE REGULATION OF NATURAL KILLER CELL-MEDIATED IMMUNITY	−1.76	0.005	0.14
GO: NEGATIVE REGULATION OF STAT CASCADE	−1.73	0.002	0.14

[i] Gene sets with NOM P<0.05 and FDR q-val<0.25 were considered to be significant. NES, normalized enrichment score; NOM, nominal; FDR, false discovery rate; GO, Gene Ontology.

B3GNT3 expression is associated with immune infiltration levels in PAAD

The association between B3GNT3 expression and immune infiltration levels in pancreatic cancer was investigated by assessing the correlations between B3GNT3 expression and tumor immune infiltration levels using TIMER. B3GNT3 expression and immune infiltration levels, including CD4+ T cells, neutrophils, macrophages and dendritic cells, were negatively correlated in pancreatic cancer (Fig. 6), especially macrophages (|cor|=0.366). To support this result, CD68, a maker of macrophages, was assessed by immunohistochemical staining. Spearman's regression analysis was performed to evaluate the correlation of each molecule with B3GNT3 expression. The results revealed that the infiltration of macrophages exhibited a negative correlation with B3GNT3 expression (Fig. 7).

Figure 6. Correlation between B3GNT3 expression and tumor immune infiltration levels in PAAD (n=171) according to Tumor Immune Estimation Resource database analysis. B3GNT3 expression was negatively correlated with CD4+ T cells, neutrophils, macrophages and dendritic cells (|cor|>0.2). B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; cor, correlation; PAAD, pancreatic adenocarcinoma.

Figure 7. Association of B3GNT3 expression with macrophage infiltration levels in PAAD. (A) PAAD tissue exhibiting B3GNT3+ but CD68− staining. (B) PAAD tissue exhibiting B3GNT3− but CD68+ staining. (C) Spearman regression analysis of B3GNT3 expression with macrophage maker CD68. P<0.05, cor=−0.606444. B3GNT3, UDP-GlcNAc:βGal β-1,3-N-acetylglucosaminyltransferase 3; cor, correlation; PAAD, pancreatic adenocarcinoma. 0, negative; 1, weak; 2, moderate; 3, strong.

B3GNT3 expression is associated with immune signatures

The correlation between B3GNT3 expression and various immune signatures was examined by TISIDB analysis. The present study focused on tumor-infiltrating immunocytes, immune inhibitory or stimulatory genes (including immune checkpoint gene sets) and cytokine-related genes. In Spearman correlation analysis with filtering for P<0.05 and |±rho|>0.4, B3GNT3 expression was correlated with a set of immune markers in infiltrating immune cells of pancreatic cancer, such as inducible co-stimulator (ICOS) and NECTIN2 (CD112).

The expression levels of immune checkpoint proteins, such as ICOS, were correlated with B3GNT3 expression. Furthermore, a positive correlation was observed between B3GNT3 expression and poliovirus receptor-related 2 (NECTIN2) expression. Nevertheless, members of the tumor necrosis factor receptor superfamily (TNFRSF), TNFRSF8 (CD30) and TNFRSF19, exhibited negative correlations with B3GNT3 expression in pancreatic cancer. Specifically, the expression levels of chemokine (C-C motif) ligand (CCL)-2, CCL4, CCL8, CCL14, CCL11, CCL21 and CXC motif chemokine ligand 12, and associated chemokine receptors, including C-C motif chemokine receptor (CCR)1, CCR2, CCR4, CCR5 and CCR7, were significantly correlated with B3GNT3 expression (P<0.001; Fig. 8). Overall, these results demonstrated the correlation between B3GNT3 and the immune infiltrating cells in PAAD, which suggests that B3GNT3 has an important immune escape role in the TME and can be used as a target for immunotherapy.

Figure 8. Associations between immunomodulators and B3GNT3 expression, and correlations between chemokines (or receptors) and B3GNT3 expression. B3GNT3, βGal β-1,3-N-acetylglucosaminyltransferase 3; ICOS, inducible co-stimulator; NECTIN2, poliovirus receptor-related 2; TNFRSF, tumor necrosis factor receptor superfamily; CCL, chemokine (C-C motif) ligand; CXCL12, C-X-C motif chemokine ligand 12; CCR, C-C motif chemokine receptor.

Discussion

Studies have demonstrated that B3GNT3 is involved in non-Hodgkin lymphoma tumorigenesis (7) and the determination of malignant behaviors (12,13). In the present study, high expression levels of B3GNT3 in PAAD were positively associated with poor prognosis and advanced clinicopathological features (e.g., high grade and clinical staging) according to biomolecular informatics analysis of high-throughput RNA profiling sequencing data in TCGA. Univariate analysis revealed that high B3GNT3 expression was associated with poor OS time for PAAD. Furthermore, B3GNT3 expression was negatively associated with OS time in clinical PAAD samples from our center.

To further investigate the role of B3GNT3 in pancreatic cancer, IHC analysis was performed to investigate immune cell infiltration. B3GNT3 expression was associated with macrophage infiltration. Similarly, Cerhan et al (7) reported that B3GNT3 is associated with tumor immunity and inflammation and serves an important role in lymphocyte migration and transport, leading to the survival and metastasis of non-Hodgkin's lymphoma tumor cells. Furthermore, the correlation between B3GNT3 expression and the immune-related genes suggests the potential regulatory function of B3GNT3 in tumor immunity in PAAD. Additionally, the present results revealed that B3GNT3 may inhibit regulatory T cell (Treg) migration, since the expression levels of B3GNT3 were negatively correlated with the infiltrating levels of Tregs (ICOS and TNF receptor superfamily member). ICOS is a standard T cell co-stimulating molecule that promotes T cell activation via the activation of PI3K signaling (19). High expression levels of ICOS predict a favorable survival outcome in esophageal squamous cell carcinoma (20), gallbladder cancer (21) and hepatocellular carcinoma (22). In addition, a positive correlation was observed between B3GNT3 expression and poliovirus receptor-related 2 (NECTIN2) expression, the inhibitory effect of which is mediated by PVR related immunoglobulin domain containing (23). It has been reported that nectin-2 expression is associated with disease progression and poor prognosis in patients with pancreatic ductal adenocarcinoma (24). Nectin-2 expression is upregulated in breast and ovarian carcinoma and could be a promising target for antibody therapy (25). It has been reported that nectin-2 expression is associated with disease progression and poor prognosis in patients with pancreatic ductal adenocarcinoma (24). GSEA analysis revealed that B3GNT3 might contribute to the chemokine-mediated activity of the PI3K signaling pathway, and indicated the negative correlation between B3GNT3 expression and immunostimulator expression. CCL2 is required for tumor-associated macrophages to induce immune evasion (26), to promote cancer cell progression (27) and invasion (28). Furthermore, CCL4 is associated with a T cell-inflamed phenotype in primary and metastatic pancreatic cancer (29). Therefore, B3GNT3, as a potential unfavorable prognostic maker, might contribute to the low infiltration of immune cells and immunostimulators. For the GSEA analysis, B3GNT3 might downregulate the frequency, rate or extent of natural killer cell- and chemokine-mediated immunity. Additionally, STAT is implicated in a wide range of human cancer types, including pancreatic cancer (30–32). Therefore, B3GNT3 could increase the malignant behavior of PAAD via the regulation of the STAT cascade signaling pathway (33).

In a follow-up study, the investigation of effective immune inhibitors, such as myeloid-derived suppressor cells, tumor-associated macrophages and Tregs, particularly in the early stage of cancer, is required to develop novel immunotherapeutic agents. The present study demonstrated that B3GNT3 might be a potential target for prognostic prediction and immune therapy in patients with pancreatic carcinoma.

Acknowledgements

Not applicable.

Funding

The present study was supported by the National Natural Science Foundation of China (grant no. 81972282).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

JZ and MX conceived and designed the experiments, and KK, LX and YZ carried out the experiments. HJ and LX analyzed the data. KK and YZ wrote the manuscript. All the authors discussed and suggested the experiments. All authors read and approved the final manuscript.

Ethics approval and consent to participate

All the human tissues used in the present study were microarrays of clinical samples from the study of national Natural Science Foundation of China (‘The Malignant Biological Behavior and Mechanism of Pancreatic Ducted Adenocarcinoma Mediated via a Novel Spliceosome MDA5’; approval no. 81972282). The present study has passed the ethics review by the Committee on Ethics of Medicine, Navy Medical University.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References