Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2021 Feb 2;10:608609. doi: 10.3389/fonc.2020.608609

The Promising IgSF11 Immune Checkpoint Is Highly Expressed in Advanced Human Gliomas and Associates to Poor Prognosis

Amina Ghouzlani 1, Soumaya Rafii 1, Mehdi Karkouri 1,2, Abdelhakim Lakhdar 3,4, Abdallah Badou 1,*
PMCID: PMC7884863  PMID: 33604291

Abstract

Glioma is the most prevalent primary brain tumor. Immune checkpoint blockade has made a great stride in mending patient’s clinical outcome for multiple types of cancers. However, PD-1, CTLA-4, or VEGF blockade exhibited only poor outcome in glioma patients. This study aimed to explore the expression and role of IgSF11, an emerging immune checkpoint and a ligand of VISTA, in human gliomas. IgSF11 mRNA expression was assessed in human glioma patients at different grades using 2 independent cohorts, a set of 52 Moroccan samples, including 20 glioma tissues, 22 PBMC samples taken before and 10 PBMC samples taken after surgery; and a series of 667 patients from TCGA. In parallel, immunohistochemistry was performed to evaluate IgSF11 protein staining. IgSF11 gene expression was significantly upregulated in high grade glioma tissues, compared to low grade. IgSF11 protein also showed a significant expression in low and high-grade gliomas. Interestingly, IgSF11 expression seemed to correlate positively with other critical immune checkpoints such as PD1, PDL-1, VISTA, and surprisingly negatively with CTLA-4. Although, T cell markers appeared higher in advanced gliomas, T cell-produced pro-inflammatory genes showed similar expression levels, highly likely because of the potent immunosuppressive microenvironment. Indeed, increased expression of IgSF11 in advanced human gliomas associated with a poor overall survival. Our data strongly suggest that IgSF11 is an immune checkpoint, which is upregulated in advanced human gliomas and contributes to the immunosuppressive state resulting in a poor clinical outcome in glioma patients. IgSF11 could be considered as a possible promising therapeutic target in advanced human gliomas.

Keywords: IgSF11, PDL-1, VISTA, glioma, glioblastoma, immune checkpoint

Introduction

Immunotherapy can reach long-lasting tumor remission with minimal adverse effects through manipulating the immune system (1). Among the most emerging strategies to fight cancer progression and activating therapeutic antitumor immunity is the blockade of immune checkpoints (2). Gliomas represent the most common primary tumor of the brain that appears from its intrinsic constituent cells (3, 4). In addition to its high frequency among all types of central nervous system tumors, glioma exhibits the most aggressive and lethal type of cancers (5, 6), glioblastoma (GBM) or glioma of grade IV, according to the World Health Organization (WHO) classification of tumors of the central nervous system (CNS) (7). Despite conventional therapies such as surgical resection, concomitant chemoradiotherapy, and/or adjuvant chemotherapy, the prognosis of patients with GBM remains poor (8). In the last two decades, a set of data has displayed dramatic success of immune checkpoint blockade targeting, the PD1- PDL1 axis and/or cytotoxic T lymphocyte associated antigen 4 (CTLA4), in different types of solid tumors (913). On the other hand, a Phase III trial comparing nivolumab (anti-PD-1 blocking Ab) to bevacizumab in patients with recurrent GBM failed to substantiate the benefit of nivolumab, which conferred a similar median overall survival (mOS, 9.8 vs. 10.0 months) (14). Previous studies have shown that the combination of anti-PD-1 and anti-CTLA-4 blocking Abs also does not improve the overall survival (15). Therefore, no obvious benefit of neoadjuvant nivolumab was obtained with resectable GBM, with a median overall survival of just 7.3 months (14).

The immunoglobulin superfamily 11 gene (IgSF11), also known as V-Set and Immunoglobulin domain containing 3 (VSIG-3) or brain and testis-specific immunoglobulin superfamily (BT-IgSF), was originally identified as a member of the immunoglobulin superfamily (16, 17), and has been revealed to be expressed predominantly in the brain and testis in mammals (17). Latest studies showed that IgSF11 regulates synaptic transmission and plasticity by the interaction with the postsynaptic scaffolding protein PSD-95 and AMPA glutamate receptors (AMPARs) (18). Furthermore, IgSF11 has been identified as a ligand of the V-domain Ig suppressor of T-cell activation (VISTA), also known as PD-1H (19, 20), and which was revealed to have inhibitory effects on T cell functions (21, 22). However, Watanabe et al. demonstrated that IgSF11 expression has been characterized to be upregulated in colorectal cancers and hepatocellular carcinomas as well as intestinal-type gastric cancers (23). A recent study revealed that the binding interaction of IgSF11 to VISTA on activated T cells inhibits T-cell proliferation as well as cytokine and chemokine production (21).

In this study, we described an interestingly elevated expression profile of IgSF11 in high versus low human glioma patients. IgSF11 gene appeared to be one of the most highly expressed immune checkpoints in the human glioma tumor microenvironment, compared to PDL-1, Gal-9, and CD155. IgSF11 protein was also revealed in various glioma patients’ samples. Interestingly, IgSF11 protein appeared to show a similar expression profile on different glioma grades, suggesting that IgSF11 gene might be subject to post-transcriptional regulation. This regulation could also be linked to the essential role that the protein plays in the brain homeostasis, regulating synaptic transmission and plasticity (18). Finally, elevated IgSF11 transcript expression correlated to a poor clinical outcome. Altogether, our data indicate that IgSF11 could be considered as a promising therapeutic target in advanced gliomas.

Materials and Methods

Patients and Samples

Total mRNA expression was assessed in a total of 52 specimens of glioma samples. Twenty glioma tissues at different grades: 10 specimens of high grade glioma (9 Glioblastomas grade IV, 1 Ependymoma grade III) and 10 of low grade (seven astrocytomas grade I, two oligodendrogliomas grade II, and one Ependymoma grade II); 22 peripheral blood mononuclear cell (PBMC) samples taken before surgery and 10 taken after surgery at the Ibn Rochd University Hospital, neurosurgery department (Casablanca, Morocco). As for the control, 10 specimens of PBMCs were taken from healthy donors, at the regional blood transfusion Center (Casablanca, Morocco). Patients had been previously diagnosed with glioma. Selected patients had not undergone any therapy before tumor resection. Glioma samples were classified according to the World Health Organization (WHO). Clinical information was obtained from the medical records of the patients.

TCGA Data Analysis

Transcriptome data of 667 glioma patients were collected from The Cancer Genome Atlas (TCGA) (http://cancergenome.nih.gov/). During the analysis with TCGA RNAseq data, expression values were log converted. All data analysis and statistical tests were independently performed by two different people in the lab.

Peripheral Blood Mononuclear Cell Isolation

Peripheral Blood Mononuclear Cells (PBMC) were isolated by density gradient centrifugation as described in the manufacturer’s protocol. A 5 ml of human peripheral blood was first mixed with 5 ml of saline solution (0.9% NaCl) which was added to 5 ml of lymphosep, lymphocyte separation medium (Biowest, France). The total was then centrifugated at 350 g for 10 min. The layer corresponding to the PBMCs was collected and then washed twice in 0.9% NaCl.

RNA Isolation and Reverse Transcription (RT)

Total RNA was extracted from PBMCs and frozen glioma samples using TRIzol reagent (Invitrogen, France) as previously described (24). RNA concentration and quality were measured using the NanoVueTM Plus Spectrophotometer (GE Healthcare, UK), then cDNA was synthesized using Tetro Reverse Transcriptase Enzyme (Bioline, France) from 0.5 μg of total RNA in a 20 μl of reaction mixture according to the manufacturer’s instructions, mixed with 1 μl of Random Hexamer Primer 25µg (Bioline, France) and 4 μl of RNase-Free water, then incubated at 70°C for 5 min to break the secondary structures of RNA.

Next, 4 μl of Tetro Reverse Transcriptase buffer, 4 μl of dNTP (10 mM), 0.5 μl of RNase Inhibitor (Invitrogen, France), 0.5 μl of Tetro Reverse Transcriptase Enzyme (Bioline, France), and 1 μl of RNase-Free water were added and incubated at 25°C for 10 min then at 45°C for 30 min then at 85°C for 5 min.

Real-Time RT-PCR

Gene expression was performed by real-time PCR in the presence of the fluorescent dye SYBR ™ Green PCR Master Mix (Thermo Fischer). β-actin was used as a housekeeping gene to analyze relative expression of IgSF11. Experiments were executed in a 20 μL reaction volume with specific primer pairs used at 10 µM for all genes.

PCR was programmed as follows:

10 min at 95°C for polymerase activation and sample denaturation, then 40 cycles of 15 s at 95°C and 60 s at 60°C for annealing and extension. Fluorescence readings at the end of the extension phase of each cycle were used to estimate the values for the threshold cycles (Ct). The Ct values for each gene were converted into relative quantification (2-ΔCt).

Primer pairs:

β-actin Forward: 5’-TGGAATCCTGTGGCATCCATGAAAC-3’

Reverse: 5’-TAAAACGCAGCTCAGTAACAGTCCG-3’

IgSF11 Forward: 5’-GGCATTCCTCGACCAACTTA-3’

Reverse: 5’-ATTAGAAGCCACGCACTGGT-3’

Immunohistochemistry (IHC)

Thirty paraffin-embedded human glioma tissues (13 low grade and 17 high grade cases) were sectioned (thickness of 3–4 µm). First, samples were incubated at 65˚C for 1 hour then at 37°C overnight before being deparaffinized and rehydrated. For antigen retrieval step, the water bath method was performed, using PT Link (Dako, Denmark) and a high pH (pH = 9) retrieval solution (EnVision Flex target retrieval solution high PH (x50) 30 ml, Dako, Denmark) at 98°C for 20 min.

To block the endogenous peroxidase activity, samples were immersed in 3% hydrogen peroxide (EnVision flex peroxidase-blocking reagent, Dako, Denmark) for 10 min at room temperature, followed by incubation in wash buffer (EnVision flex wash buffer, Dako, Denmark) two times for 2 min each to reduce non-specific binding. Slides were then incubated with a primary monoclonal mouse anti-human IgSF11 antibody at (1:150) (LifeSpan BioSciences, Seattle, United States). For each case, a second slide was used as a negative control with mouse IgG1 isotype control at 1: 200 dilution (LifeSpan BioSciences, Seattle, United States) at room temperature for 45 min.

After rinsing in wash buffer twice for 2 min each, slides were incubated with a secondary horseradish peroxidase-conjugated goat anti-rabbit anti-mouse IgG (EnVision Flex/HRP, Dako, USA) for 20 min at room temperature. Next, Slides were rinsed thoroughly in wash buffer, twice for 2 min each, prior to incubation with diaminobenzidine solution (EnVision DAB + CHROMOGEN, Dako, USA) to develop color for 10 min at room temperature. Finally, slides were counterstained with hematoxylin solution at room temperature for 1 min, dehydrated, and mounted to being examined under an Olympus light microscope (Olympus, Tokyo, Japan).

Statistical Analysis

Statistical analysis was performed using GraphPad Prism 6.0 software (GraphPad Software, Inc., La Jolla, CA, USA). Statistical significance between mean values was determined by using Student’s t-test and one-way ANOVA. For survival curves, the Kaplan-Meier method was used based on log-rank test.

Results

IgSF11 Gene Expression Is Upregulated in High Grade Glioma Tissues

In total, 20 glioma tissues (11 men and 9 women) were recruited in the current study. The characteristics of the enrolled patients were described in Table 1 . Glioma patients were classified according to the WHO as follows: nine glioblastomas of grade IV, one ependymoma of grade III, seven astrocytomas of grade I, two oligodendrogliomas of grade II, and one ependymoma of grade II ( Table 1 ).

Table 1.

Characteristics of glioma patients.

Variable Cases (%) (n = 20)
Sex
• Male
• Female
11 (55)
9 (45)
Age
• ≤29 years
• 30–50 years
• ≤50 years
9 (45)
8 (40)
3 (15)
WHO grade
• Low grade (I-II)
• High grade (III-IV)
10 (50)
10 (50)
Histological type
• Astrocytomas
• Oligodendrogliomas
• Ependymomas
16 (80)
2 (10)
2 (10)
Smoking status
• Yes
• No
5 (25)
15 (75)

To assess the association between IgSF11 gene expression and glioma pathogenesis, 52 samples including 20 glioma samples and 32 PBMC specimens of the same patients (22 PBMCs before and 10 after surgery) and 10 healthy donors were analyzed. mRNA expression Levels of IgSF11 were evaluated by real time RT-PCR. IgSF11 showed a significant mRNA expression in samples from glioma patients ( Figure 1A ). This expression was, however, similar to that observed in PBMCs from glioma patients taken before surgery. IgSF11 mRNA expression was also similar to that of PBMCs taken from healthy donors ( Figure 1A ). In addition, IgSF11 transcripts were elevated in healthy donors, glioma tissues and PBMCs before surgery compared to PBMCs taken from patients after surgery (p = 0.0233), (p = 0.0055), and (p = 0.0235), respectively ( Figure 1A ). On the other hand, when we compared IgSF11 expression according to patients’ grades, we revealed a significantly higher expression in high grade glioma tissues relative to low grades (p = 0.0047) ( Figure 1B ). Overall, these observations indicated that IgSF11 mRNA was highly expressed in high grade gliomas compared to low grades.

Figure 1.

Figure 1

IgSF11 gene expression is upregulated in high grade glioma tissues. IgSF11 expression was assessed using RT-PCR analysis. (A) Higher expression of IgSF11 gene in healthy donors, glioma tissues, and PBMC of the same patients before surgery (Pre-G-PBMC) compared to PBMC after surgery (Post-G PBMC). (B) Elevated expression of IgSF11 in advanced glioma grade (grade III-IV).

In order to further strengthen the IgSF11 mRNA expression results (which have been obtained with the Moroccan cohort) we evaluated IgSF11 expression in a separate cohort. We assessed RNA-sequencing data of 667 gliomas patients from the TCGA database. Samples were analyzed and graded according to the WHO classification ( Table 2 ). The expression profile of IgSF11 gene was significantly linked to glioma grades (p < 0.0001), histological type (p = 0.0169), patients age (p < 0.0001), molecular subtype (p = 0.0001) and IDH mutation status (p = 0.0018). High grade gliomas (glioblastoma) presented high level of IgSF11 expression compared to low grade (p < 0.0001) ( Figure 2A ). In addition, astrocytoma showed an elevated expression of IgSF11 in comparison to oligoastrocytoma (p = 0.0237) and oligodendroglioma (p = 0.0387) ( Figure 2B ). Further analysis exhibited an elevated expression of IgSF11 in classical and proneural molecular subtypes, in comparison to neural (p = 0.0122 and p = 0.0154, respectively) and mesenchymal (p = 0.0004) ( Figure 2C ). Interestingly, IgSF11 expression level appeared to be higher in all glioma samples (high and low grades) compared to PDL-1 (p < 0.0001) ( Figure 2D ). IgSF11 protein was also detected in human gliomas.

Table 2.

Expression of IgSF11 according to glioma patient characteristics in the TCGA cohort.

Variable Cases (%) n p value
Sex
• Male
• Female
381 (57.20)
285 (42.8)
0.5791
Age
• ≤29 years
• 30–50 years
• ≤50 years
79 (11.86)
284 (42.64)
303 (45.5)
<0.0001
WHO grade
• Low grade (II-III)
• High grade (IV)
514 (77.17)
152 (22.83)
<0.0001
Histological type
• Astrocytoma
• Oligoastrocytoma
• Oligodendroglioma
346 (51.87)
130 (19.49)
191 (28.63)
0.0169
Glioblastoma subtype
• Mesenchymal
• Classical
• Neural
• Proneural
49 (34.26)
39 (27.27)
26 (18.18)
29 (20.28)
0.0001
IDH mutation status
• Yes
• No
99 (36.13)
175 (83.87)
0.0018

Figure 2.

Figure 2

IgSF11 transcripts strongly expressed in high grade glioma in the TCGA cohort. RNAseq of glioma patients (n = 667) were evaluated using TCGA database. (A) IgSF11 gene showed strong expression levels in high grade gliomas. (B) Astrocytoma exhibited high expression levels of IgSF11 compared to Oligodendroglioma and Oligoastrocytoma. (C) Classical and Proneural glioma molecular subtypes showed high IgSF11 expression in comparison with mesenchymal and neural. (D) IgSF11 mRNA expression showed high expression levels compared with PDL-1.

In order to confirm IgSF11 gene expression results obtained at the transcript level ( Figure 1 ), IgSF11 protein analysis was performed on 30 human glioma samples (13 low grade (I/II) and 17 high grade (III/IV) cases) by immunohistochemistry. When IgG1 isotype control was assessed in testis tissue (used as a positive control for IgSF11 protein expression) ( Figure 3A ), no staining was detected. However, staining of IgSF11 was observed with the same tissue when a specific anti-IgSF11 mAb was used in the same conditions Figure 3B ). IgG1 isotype was used as a negative control to assess IgSF11 protein expression in glioma tissues ( Figure 3C ). Surprisingly, strong IgSF11 staining was observed in all cases of glioma (low and high grades) ( Figures 3D, E ), contrasting with mRNA data ( Figure 1B ). This suggests that IgSF11 might be subject to a post-transcriptional regulation. IgSF11 protein was detected in endothelial cells ( Figure 3F ) and tumor cells ( Figure 3G ) in all grades of gliomas. Besides, about 16.66% of glioma samples (5 out of 30 cases) showed a positive staining of IgSF11 on tumor-associated inflammatory cells ( Figures 3A, H ). Overall, our data indicated that IgSF11 protein was strongly expressed on tumor and inflammatory cells in human gliomas.

Figure 3.

Figure 3

IgSF11 protein was detected in human gliomas. IgSF11 protein was detected in human glioma tissues using immunohistochemistry assay. (A) Negative control staining in normal testis tissue with mouse IgG1 isotype control (magnification x20). (B) Positive staining of IgSF11 in normal testis (magnification x20). (C) Negative control staining of glioma cases with mouse IgG1 isotype control (magnification x 10). (D) Positive staining of IgSF11 in low grade glioma (Astrocytoma I) (magnification x10). (E) Positive staining of IgSF11 in high grade glioma (Glioblastoma) (magnification x10). (F) Positive staining of IgSF11 on endothelial cells (magnification x 20). (G) Positive staining of IgSF11 on tumor cells (magnification x 40). (H) Positive staining of IgSF11 on inflammatory cells (magnification x 20).

IgSF11 Transcripts Positively Correlated With Other Critical Immune Checkpoints

Using the same cohort of patients (TCGA), we assessed the correlation of IgSF11 expression with three critical immune checkpoints, PDL-1 and PD-1 (both known to present high levels of expression in advanced glioma grades) (2325) and VISTA, which is known as IgSF11 receptor (20).

Interestingly, IgSF11 was positively correlated with PDL-1 (p < 0.0001, r = 0.2514) ( Figure 4A ), PD-1 (p < 0.0001, r = 0.1920) ( Figure 4B ), VISTA (p < 0.0001, r = 0.1560) ( Figure 4C ) and negatively correlated with CTLA-4 (p < 0.0001, r = -0.3115) ( Figure 4D ) (confirming that IgSF11 expression correlated with that of its receptor, VISTA. Together, these observations suggest that tumor cells may use IgSF11 in addition to other previously reported immune checkpoints, such as PD-1 and PDL-1 axis, to institute an immune suppressed microenvironment.

Figure 4.

Figure 4

IgSF11 expression positively correlated with critical immune checkpoint regulators. (A) IgSF11 presented positive correlation with PDL-1. (B) IgSF11 positively correlated with PD-1. (C) IgSF11 positively correlated with VISTA. (D) IgSF11 negatively correlated with CTLA-4.

Significant Immune Cell Infiltration but Strong Immuno-Suppressive Microenvironment in Patients With High Levels of IgSF11

To explore the association between IgSF11 expression and the presence of various immune cell populations within glioma microenvironment, we performed a duple clustering of glioma cases using the median as a cut off for patient’s stratification. The first set with high IgSF11 expression, and a second one with lower expression. Thereafter, we evaluated CD4 and CD8 mRNA expression. Patients with high IgSF11 expression presented high levels of expression of CD4 and CD8 compared to low IgSF11 expression (p < 0.0001) ( Figure 5A ), suggesting that although glioma microenvironment is highly infiltrated by CD8 and CD4 cells, the latter would be able to exhibit limited effector functions owing to the high expression of IgSF11 gene, in addition to other immune suppressive genes. As for T lymphocyte-related cytokines, we analyzed gene expression of two separate sets, TGF-β and IL-10, which are involved in the process of strongly inhibiting both CD8 and CD4 T cell functions. On the other side, we investigated a set of genes, including IL-2, IFNγ, and Granzyme B, whose upregulation is rather associated to an efficient anti-tumoral immune response. Interestingly, the expression of pro-inflammatory genes (IL-2, IFNγ, and Granzyme B) did not show a significant difference between the two groups (high versus low IgSF11 expression profile ( Figure 5B ).

Figure 5.

Figure 5

High expression of IgSF11 transcripts correlated to an immunosuppressive microenvironment of glioma patients. (A) CD4 and CD8 gene expression were elevated in high IgSF11 expression. (B) Anti-tumoral genes (IFNγ, Granzyme B, IL-2) exhibited no significant difference in high versus low IgSF11 expression profile. (C) TGFβ showed strong expression levels in glioma patients with high IgSF11 expression.

In contrast, the immunosuppressive gene TGF-β exhibited high levels of expression in glioma cases with higher levels of IgSF11 gene expression (p < 0.0001) ( Figure 5C ). Together, these observations indicated that patients with high level of IgSF11 expression, would likely exhibit significant CD4 and CD8 cell infiltration, which would be, however, weakly functional, due to a strong immuno-suppressive microenvironment, which is known to negatively impact the patient’s clinical outcome.

Elevated Expression of IgSF11 in Glioma Patient’s Microenvironment Associated to a Poor Overall Survival

To clarify the relationship between IDH mutation status and IgSF11 expression, transcriptomic data of patients with IDH mutation status was analyzed. IDH wild-type glioma showed a significantly distinct pattern of IgSF11 expression from IDH mutant glioma with significant upregulation in IDH wild-type glioma (p < 0.0001) ( Figure 6A ). Furthermore, to explore the impact on survival, we examined the prognostic value of IgSF11. As demonstrated, using Kaplan-Meier curves, glioma patients with lower IgSF11 expression had prolonged survival in comparison to patients with higher expression (p = 0.0004). When PD-1 and VISTA genes, were assessed, the results showed that glioma patients who expressed high levels of PD-1 and high levels of VISTA presented a poorer survival compared to those who expressed lower levels (p < 0.0001) (p = 0.0078) ( Figure 6B ). Remarkably, patients who presented high expression levels of both IgSF11 and PD-1 showed a worse survival outcome compared to those with low expression of both genes (p<0.0001) ( Figure 6C ). These results indicated that IgSF11 could be considered as a negative prognostic marker in gliomas and that dual blocking of PD-1/IgSF11 pathways could be considered as promising future combined therapy for glioma patients.

Figure 6.

Figure 6

Elevated expression of IgSF11 in glioma patients associated to a poor overall survival. (A) IgSF11 upregulated in glioma patients with IDHwt compared with IDHmut status. (B) High IgSF11, PD-1 and VISTA expression levels associated to a poor overall survival. (C) Elevated expression of both IgSF11 and PD-1 in the same glioma patients correlated to a poorer overall survival.

Discussion

Immune checkpoint inhibitors blockade is one of the most promising approaches to enhance anti-tumor immune response and it has made great stride in mending patient’s clinical outcome for multiple cancer types (26, 27). Gliomas are known to be the most frequent and fatal brain tumors in adults (28). As far as here, despite treatment of glioblastoma patients with conventional therapies, the prognosis is still middling (29). Despite the hope that immunotherapy has brought in the field of cancer treatment (30), the majority of glioma patients did not respond to the blockade of usual immune checkpoints pathways (2831). This has catalyzed our interest in exploring additional targets, including the recently discovered one, IgSF11 (23). Thus, the main objective of this study was to explore the role of IgSF11 in human gliomas.

Our study demonstrated that: 1) IgSF11 gene expression was elevated in high grade glioma patients, 2) IgSF11 protein was also detected in different glioma patients, 3) The high IgSF11 transcript expression in high grade gliomas was corroborated in an independent cohort, TCGA, 4) IgSF11 transcript levels positively correlated with other critical immune checkpoints, 5) Patients with elevated IgSF11 levels, exhibit immune cell infiltration but an immuno-suppressive microenvironment, and 6) Elevated expression of IgSF11 in glioma patients associated to a poor overall survival.

At the best of our knowledge, this is the first investigation of the role of IgSF11 in clinically resected human glioma tumors. Also, this is the largest and most comprehensive study describing the expression of IgSF11 in human glioma samples using two distinct cohorts.

IgSF11 expression has been evaluated on other cancer types, such as gastrointestinal and hepatocellular carcinoma (21, 32). Recently, it has been reported that IgSF11 has an inhibitory effect on T cell function (21). In these studies that are compatible with the present investigation, it has also been demonstrated that IgSF11 expression is upregulated in these types of cancer. In addition, unlike our transcriptomic data, IgSF11 protein expression in the tumor microenvironment was not found to be associated with the grade nor the histological type of gliomas. Considering its physiological role in the brain, which is the regulation of synaptic transmission and plasticity (18). In our study, IgSF11 protein was demonstrated to be expressed on tumor samples of all grades and also on tumor-associated inflammatory cells (in 5 out of 30 cases), which suggests that IgSf11 may play a double role, as a receptor, on tumor microenvironment-infiltrating inflammatory cells, and as a ligand, on glioma cells, in order to enhance the immuno-suppressive action upon its interaction with VISTA, which has been shown previously by Ghouzlani et al. (in revision) that it is expressed on both. (Ghouzlani et al., in revision)

This is the first report to the best of our knowledge on the role of IgSF11 in human glioma progression. In the present study, IgSF11 expression was significantly and positively correlated with that of PDL-1, PD-1,and VISTA and negatively with that of CTLA-4.

This suggests that IgSF11 would use similar mechanisms as other critical immune checkpoints such as the PDL-1/PD-1 axis, whose activity is known to be associated with a bad prognosis for glioma patients. On the other hand, it was reported that IgSF11 is a ligand of VISTA (21), and that IgSF11-VISTA interaction results in the suppression of T cell activity. This has prompted us to explore the role of IgSF11 in glioma progression using two independent tumor cohorts, local human glioma samples, and TCGA cohort. One main observation of this study is that IgSf11 and VISTA expression correlated positively and significantly. This is an important observation since the combined blocking of the IgSF1-VISTA pathways, along with other immune checkpoints could be of interest in glioma treatment. Chraa et al. reported that the glioma microenvironment is infiltrated by several subpopulations of T lymphocytes that could impact cancer progression (33). Our study revealed that patients with high IgSF11 expression profile would present high infiltration of CD4 and CD8 cells compared to patients with low IgSF11 expression. However, glioma microenvironment infiltrating CD8 and CD4 cells would exhibit limited effector functions, owing to the higher expression level of the immuno-suppressive molecule, IgSF11, in addition to other immune checkpoints. As for T lymphocyte-related cytokines, the expression of pro-inflammatory genes (IL-2, IFNγ, and Granzyme B) did not show a significant difference between the two groups (high versus low IgSf11 expression profile), even though T cell infiltration seems to be significantly higher in the group of patients with elevated expression of IgSf11. If these observations are confirmed, this would mean that these pro-inflammatory/anti-tumoral cytokines are likely to be silenced due to the highly immuno-suppressive microenvironment. Indeed, the potent immunosuppressive cytokine TGF-β, which is known to be involved in the process of glioma progression (34), showed high levels of expression in patients with high levels of IgSF11.

Remarkably, high expression levels of IgSF11 were associated with worse patient survival. Also, glioma patients exhibited elevated expression of PD-1 or VISTA showed a bad overall survival. Interestingly, patients presenting high expression levels of both IgSF11 and PD-1 showed even weaker overall survival. These results indicated that IgSF11 could be considered as a negative prognostic marker in glioma and PDL-1/IgSF11 blockade could be also considered as a very promising combined therapy for advanced glioma.

In summary, in this study, which corresponds to the first evaluation of IgSF11 expression and role in human glioma, we presented evidence for gradual expression of IgSF11 in patients presenting with gliomas, depending on distinct grades. High IgSF11 expression in advanced glioma patients correlated with higher infiltration of immune cells, which would be weakly functional, due to the highly immuno-suppressive microenvironment (elevated expression of immune checkpoints and cytokines such as TGFβ). Our study identified IgSF11 as a possible promising therapeutic target in advanced human glioma.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Ethics Statement

The studies involving human participants were reviewed and approved by The Ethical Board of the Ibn Rochd University Hospital of Casablanca. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

AG collected, analyzed, and interpreted data, and wrote the manuscript. SR collected and analyzed data. MK analyzed data. AL collected and analyzed data. AB designed research, analyzed and interpreted data, wrote the manuscript, and supervised the study. All authors contributed to the article and approved the submitted version.

Funding 

This work was supported by the Moroccan Ministry of Higher Education and Research and The National Center for Scientific and Technical Research (CNRST) through a “PPR1” project coordinated by AB. AG was supported by a “CNRST” fellowship.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank all members of the Neurosurgery department, including, Pr. A. El azhari, Pr. S. Hilmani, Pr. K. Ibahioin, Pr. A. Bertal, Pr. A. Naja, Pr. A. Challaoui, Dr. A. Bocco, Dr.T. Mesbahi, Dr. Z. Ennhaili, Dr. M. Fatihi, Dr. O. Benhayoun, Dr. M. Haous, Dr. D. Kaba, Dr. I. Mahazou, Dr. A. Jehri, Dr S. Stitou, and nurses (S. Khayam, S. Watti, H. Bchira, Fz. Remiany).

Abbreviations

WHO, World Health Organization; GBM, Glioblastoma; IgSf11, Immunoglobulin superfamily 11 gene; PD-1, Programmed cell death 1; VISTA, V-domain Immunoglobulin suppressor of T cell activation; PDL-1, Programmed death-ligand 1; CTLA-4, Cytotoxic T lymphocyte antigen-4; PCR, Polymerase chain reaction; IL-2, Interleukin-2; IL-10, Interleukin-10; TGFβ, Transforming growth factor β; IFNγ, Interferon gamma; IDH, Isocitrate dehydrogenase; TCGA, The Cancer Genome Atlas; PBMC, Peripheral blood mononuclear cell; mRNA, Messenger RNA.

References

  • 1. McGranahan T, Therkelsen KE, Ahmad S, Nagpal S. Current State of Immunotherapy for Treatment of Glioblastoma. Curr Treat Options Oncol (2019) 20(3):24.   10.1007/s11864-019-0619-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer (2012) 12(4):252–64.   10.1038/nrc3239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Weller M, Wick W, Aldape K, Brada M, Berger M, Pfister SM, et al. Glioma. Nat Rev Dis Primers (2015) 1:15017.   10.1038/nrdp.2015.17 [DOI] [PubMed] [Google Scholar]
  • 4. Sanai N, Alvarez-Buylla A, Berger MS. Neural stem cells and the origin of gliomas. N Engl J Med (2005) 353(8):811–22.   10.1056/NEJMra043666 [DOI] [PubMed] [Google Scholar]
  • 5. Bi J, Chowdhry S, Wu S, Zhang W, Masui K, Mischel PS. Altered cellular metabolism in gliomas — an emerging landscape of actionable co-dependency targets. Nat Rev Cancer (2020) 20(1):57–70.   10.1038/s41568-019-0226-5 [DOI] [PubMed] [Google Scholar]
  • 6. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJB, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med (2005) 352(10):987–96.   10.1056/NEJMoa043330 [DOI] [PubMed] [Google Scholar]
  • 7. Hu H, Mu Q, Bao Z, Chen Y, Liu Y, Chen J, et al. Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor. Cell (2018) 175(6):1665–78.   10.1016/j.cell.2018.09.038 [DOI] [PubMed] [Google Scholar]
  • 8. Li G, Wang Z, Zhang C, Liu X, Yang F, Sun L, et al. MEGF10, a Glioma Survival-Associated Molecular Signature, Predicts IDH Mutation Status. Dis Markers (2018) 2018:5975216.   10.1155/2018/5975216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Larkin J, Hodi FS, Wolchok JD. Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma. N Engl J Med (2015) 373(13):1270–1.   10.1056/NEJMc1509660 [DOI] [PubMed] [Google Scholar]
  • 10. Robert C, Schachter J, Long GV, Arance A, Grob JJ, Mortier L, et al. Pembrolizumab versus Ipilimumab in Advanced Melanoma. New Engl J Medicine (2015) 372(26):2521–32.   10.1056/NEJMoa1503093 [DOI] [PubMed] [Google Scholar]
  • 11. Motzer RJ, Escudier B, McDermott DF, George S, Hammers HJ, Srinivas S, et al. Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma. New Engl J Medicine (2015) 373(19):1803–13.   10.1056/NEJMoa1510665 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Garon EB, Rizvi NA, Hui R, Leighl N, Balmanoukian AS, Eder JP, et al. Pembrolizumab for the treatment of non-small-cell lung cancer. N Engl J Med (2015) 372(21):2018–28.   10.1056/NEJMoa1501824 [DOI] [PubMed] [Google Scholar]
  • 13. Ferris RL, Blumenschein Jr G, Fayette J, Guigay J, Colevas D, Licitra L, et al. Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck. New Engl J Medicine (2016) 375(19):1856–67.   10.1056/NEJMoa1602252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Filley AC, Henriquez M, Dey M. Recurrent glioma clinical trial, CheckMate-143: the game is not over yet. Oncotarget (2017) 8(53):91779–94.   10.18632/oncotarget.21586 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Omuro A, Vlahovic G, Lim M, Sahebjam S, Baehring J, Cloughesy T, et al. Nivolumab with or without ipilimumab in patients with recurrent glioblastoma: results from exploratory phase I cohorts of CheckMate 143. Neuro-oncology (2018) 20(5):674–86.   10.1093/neuonc/nox208 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Harada H, Suzu S, Hayashi Y, Okada S. BT-IgSF, a novel immunoglobulin superfamily protein, functions as a cell adhesion molecule. J Cell Physiol (2005) 204(3):919–26.   10.1002/jcp.20361 [DOI] [PubMed] [Google Scholar]
  • 17. Suzu S, Hayashi Y, Harumi T, Nomaguchi K, Yamada M, Hayasawa H. Molecular cloning of a novel immunoglobulin superfamily gene preferentially expressed by brain and testis. Biochem Biophys Res Communications (2002) 296(5):1215–21.   10.1016/S0006-291X(02)02025-9 [DOI] [PubMed] [Google Scholar]
  • 18. Jang S, Oh D, Lee Y, Hosy E, Shin H, van Riesen C, et al. Synaptic adhesion molecule IgSF11 regulates synaptic transmission and plasticity. neuro (2016) 19(1):84–93.   10.1038/nn.4176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Lines JL, Pantazi E, Mak J, Sempere LF, Wang L, O'Connell S, et al. VISTA Is an Immune Checkpoint Molecule for Human T Cells. Cancer Res (2014) 74(7):1924–32.   10.1158/0008-5472.CAN-13-1504 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Yang W, Padkjær SB, Wang J, Sun Z, Shan B, Yang L, et al. Construction of a Versatile Expression Library for All Human Single-Pass Transmembrane Proteins for Receptor Pairings by High Throughput Screening. J Biotechnol 26018–30.   10.1016/j.jbiotec.2017.08.023 [DOI] [PubMed] [Google Scholar]
  • 21. Wang J, Wu G, Manick B, Hernandez V, Renelt M, Erickson C, et al. VSIG-3 as a ligand of VISTA inhibits human T-cell function. Immunology (2019) 156(1):74–85.   10.1111/imm.13001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Deng J, Le Mercier I, Kuta A, Noelle RJ. A New VISTA on combination therapy for negative checkpoint regulator blockade. J Immuno Therapy Cancer (2016) 4:86.   10.1186/s40425-016-0190-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Watanabe T, Suda T, Tsunoda T, Uchida N, Ura K, Kato T, et al. Identification of immunoglobulin superfamily 11 (IGSF11) as a novel target for cancer immunotherapy of gastrointestinal and hepatocellular carcinomas. Cancer Sci (2005) 96(8):498–506.   10.1111/j.1349-7006.2005.00073.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Loeser H, Kraemer M, Gebauer F, Bruns C, Schröder W, Zander T, et al. The expression of the immune checkpoint regulator VISTA correlates with improved overall survival in pT1/2 tumor stages in esophageal adenocarcinoma. OncoImmunology (2019) 8(5):e1581546.   10.1080/2162402X.2019.1581546 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Wang Z-L, Li G-Z, Wang Q-W, Bao Z-S, Wang Z, Zhang C, et al. PD-L2 expression is correlated with the molecular and clinical features of glioma, and acts as an unfavorable prognostic factor. OncoImmunology (2019) 8(2):e1541535.   10.1080/2162402X.2018.1541535 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Wang Z, Zhang C, Liu X, Wang Z, Sun L, Li G, et al. Molecular and clinical characterization of PD-L1 expression at transcriptional level via 976 samples of brain glioma. Oncoimmunology (2016) 5(11).   10.1080/2162402X.2016.1196310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Liu F, Huang J, Xiong Y, Li S, Liu Z. Large-scale analysis reveals the specific clinical and immune features of CD155 in glioma. Aging (Albany NY) (2019) 11(15):5463–82.   10.18632/aging.102131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Balli D, Rech AJ, Stanger BZ, Vonderheide RH. Immune Cytolytic Activity Stratifies Molecular Subsets of Human Pancreatic Cancer. Clin Cancer Res (2017) 23(12):3129–38.   10.1158/1078-0432.CCR-16-2128 [DOI] [PubMed] [Google Scholar]
  • 29. Dong H, Strome SE, Salomao DR, Tamura H, Hirano F, Flies DB. Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion. Nat Med (2002) 8(8):793–800.   10.1038/nm730 [DOI] [PubMed] [Google Scholar]
  • 30. Han SJ, Zygourakis C, Lim M, Parsa AT. Immunotherapy for glioma: promises and challenges. Neurosurg Clin N Am (2012) 23(3):357–70.   10.1016/j.nec.2012.05.001 [DOI] [PubMed] [Google Scholar]
  • 31. Huang J, Zhao D, Liu Z, Liu F. Repurposing psychiatric drugs as anti-cancer agents. Cancer Lett (2018) 419:257–65.   10.1016/j.canlet.2018.01.058 [DOI] [PubMed] [Google Scholar]
  • 32. Dong H, Zhu G, Tamada K, Chen L. B7-H1, a third member of the B7 family, co-stimulates T-cell proliferation and interleukin-10 secretion. Nat Med (1999) 5(12):1365–9.   10.1038/70932 [DOI] [PubMed] [Google Scholar]
  • 33. Chraa D, Naim A, Olive D, Badou A. T lymphocyte subsets in cancer immunity: Friends or foes. J Leukocyte Biol.   10.1002/JLB.MR0318-097R [DOI] [PubMed] [Google Scholar]
  • 34. Kaminska B, Kocyk M, Kijewska M. TGF beta signaling and its role in glioma pathogenesis. Adv Exp Med Biol (2013) 986:171–87.   10.1007/978-94-007-4719-7_9 [DOI] [PubMed] [Google Scholar]
  • 35. Schalper KA, Rodriguez-Ruiz ME, Diez-Valle R, López-Janeiro A, Porciuncula A, Idoate MA, et al. Neoadjuvant nivolumab modifies the tumor immune microenvironment in resectable glioblastoma. Nat Med (2019) 25(3):470–6.   10.1038/s41591-018-0339-5 [DOI] [PubMed] [Google Scholar]
  • 36. Huang J, Liu F, Liu Z, Tang H, Wu H, Gong Q, et al. Immune Checkpoint in Glioblastoma: Promising and Challenging. Front Pharmacol (2017) 8:242.   10.3389/fphar.2017.00242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Taube JM, Anders RA, Young GD, Xu H, Sharma R, McMiller TL, et al. Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape. Sci Transl Med (2012) 4(127):127ra37.   10.1126/scitranslmed.3003689 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Katoh M, Katoh M. IGSF11 gene, frequently up-regulated in intestinal-type gastric cancer, encodes adhesion molecule homologous to CXADR, FLJ22415 and ESAM. Int J Oncol (2003) 23(2):525–31.   10.3892/ijo.23.2.525 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.


Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES