Abstract
Background
The immunosuppressive tumour microenvironment is a critical factor in the initiation and progression of glioblastoma (GBM), which is characterized by an abundance of tumour-associated macrophages (TAMs) but a paucity of infiltrating T cells. In this research, we studied whether epithelial membrane protein 3 (EMP3) plays a crucial role in immune modulation in GBM.
Methods
TCGA and CGGA transcriptomic profiles of wild-type IDH1 GBM were used for bioinformatic analysis. The role of EMP3 in GBM was validated through in vivo and in vitro experiments. Human GBM specimens were collected and evaluated using immunofluorescence analysis.
Results
EMP3 was associated with immunosuppression in GBM. Elevated EMP3 in GBM areas was accompanied by high expression of PD-L1 and abundant M2 TAM recruitment but a lake of T cell infiltration. We found that EMP3 was a potent protein in M2 TAM polarization and recruitment that impaired the ability of GBM cells to secrete CCL2 and TGF-β1. Furthermore, EMP3 suppressed T cell infiltration into GBM tumours by inhibiting the secretion of CXCL9 and CXCL10 by macrophages and led to an effective response to anti-PD1 therapy.
Conclusions
EMP3 is thus a critical immunosuppressive factor for recruiting TAMs in GBM and suppressing intratumoural T cell infiltration to facilitate tumour progression and is a potential therapeutic target.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13046-021-01954-2.
Keywords: Glioblastoma, Epithelial membrane protein 3, Exhausted T cells, Tumour‐associated macrophages
Background
GBM is one of the most malignant brain tumours. Although patients receive active treatment, the 5-year survival rate is less than 5 %. GBM is characterized by a lack of T cell infiltration but abundant tumour-associated macrophage (TAM) infiltration [1]. M2 TAMs are the main TAMs in most malignant tumours and play important roles in immunosuppression and treatment resistance [2, 3]. In addition, there is a strong association between poor survival and increased M2 TAM infiltration within the tumour microenvironment (TME) of human GBM patients. M2 TAMs are recruited to the TME and are emerging as important mediators of adaptive resistance to immune attack. However, how M2 TAMs polarize and inhibit antitumour immunity within GBM is still unknown. Loss of effector functions and increases in immunosuppressive molecules are the major characteristic features of exhausted T cells. In fact, in GBM patients, it is common for the numbers of CD4+ and CD8+ T cells to decrease within the tumour and in the circulation [4, 5]. With the expansion of indications for checkpoint inhibitors, an increasing number of patients are receiving these drugs. Despite the durable clinical response to antibodies that block PD-1 seen in advanced melanoma, non-small cell lung cancer (NSCLC), renal cell carcinoma, and other cancers, it is not clear whether this treatment is feasible in GBM [6]. Indeed, the exhaustion mechanism of T cells in GBM should be further studied.
It has been reported that epithelial membrane protein 3 (EMP3) is a tetraspanin membrane protein that represses the induction and function of cytotoxic T lymphocytes [7]. The expression of EMP3 is low in the adult brain. However, EMP3 expression is upregulated in brain tumours, especially in GBM. The expression of EMP3 mRNA has been shown to be associated a with poor outcome [8–11]. Depletion of the EMP3 protein attenuates malignant behaviours of GBM cells [12]. Our preclinical studies demonstrated that EMP3 drives the infiltration of M2 TAMs into GBM, suppresses CD4+ and CD8+ T cell infiltration, and has the potential be exploited as a therapeutic target.
Methods and materials
Data collection
Publicly available clinical data for GBM patients with wild-type IDH1 (IDH1wt) and their transcriptomic data were obtained from the TCGA (https://cancergenome.nih.gov/) and CGGA (http://www.cgga.org.cn/) databases. GBM patients with IDH1wt sequence-based gene expression (n = 152) and array-based gene expression (n = 475) data form the TCGA dataset were used. GBM patients with IDH1wt array-based gene expression data (n = 94) from the CGGA dataset were used.
Bioinformatic analysis
Downloaded GSEA software version 3.0 (www.broadinstitute.org/gsea/) was used for GSEA, which was used to calculate whether a gene set exhibited statistically significant [13] concordant differences between two defined groups (high expression of EMP3 versus low expression of EMP3) in the TCGA array-based gene expression dataset. ssGSEA, an extension of GSEA, was used to calculate separate enrichment scores for each pairing of a sample and gene set online (https://www.genepattern.org/) [14].
Cell transfection
EMP3 lentiviruses were purchased from GeneChem (Shanghai, China). A CRISPR/Cas9 system was employed to knock out EMP3 in GL261 cells. According to our previous research [15], cells were transfected with LV-Cas9 lentiviruses at an MOI of 8 for 72 h and selected with puromycin at a final concentration of 3 µg/mL for 7 days. GL261 cells were subsequently infected with lentiviruses containing sgRNA targeting EMP3. The expression of EMP3 was confirmed by Western blot after infection with the sgRNA for 4 h. The lentiviruses expressing Cas9, sgRNAs and negative control (LV-NC) were constructed by GeneChem (Shanghai, China). The sequences of the sgRNAs are shown in Supplementary Table 1.
Cell lines
GL261, RAW 264.7, and BV-2 cells were purchased from the Chinese Academy of Sciences Cell Bank in 2018 and maintained in Dulbecco’s modified Eagle’s medium (DMEM) (Sigma-Aldrich) supplemented with 10 % foetal bovine serum (FBS, HyClone). The Lonza Mycoalert Mycoplasma Detection Kit (Lonza, Switzerland) was used to test for mycoplasma contamination. All cells were cultured at 37 °C in an atmosphere of 5 % CO2 and maintained in culture for less than 20 passages.
Western blot analysis
Protein was extracted from GL261 cells using lysis buffer containing RIPA buffer (Solarbio, 89,901) and a protease inhibitor (Solarbio, A8260). The BCA Protein Assay Kit (Solarbio, PC0020) was used to test the protein concentration according to the manufacturer’s instructions, and 20 µg/lane protein was loaded per well. The primary antibodies used were anti-EMP3 (1:1000, Abcam, 236,671) and anti-β-actin (1:1000, CST, 4970). PVDF membranes were incubated with primary antibodies overnight at 4 °C and then incubated with HRP-conjugated anti-rabbit IgG (1:10,000, Sigma-Aldrich, RABHRP1) or HRP-conjugated anti-mouse IgG (1:10,000, Sigma-Aldrich, RABHRP2) at 37 °C for 1 h. The protein bands were visualized using an Immobilon Western Chemilum HRP Substrate kit (Millipore, WBKLS0050) and Bio-Rad Gel Doc XR imaging system (Bio-Rad, USA).
Chemotaxis assay
Briefly, T cells (5 × 105) were isolated from the spleen and lymph nodes of C57BL/6 mice. Anti-CD3 beads (Miltenyi Biotec) were used to purify the T cells. Subsequently, the T cells were labelled with CFSE and seeded in 24-well plates (5-µm pore size, Corning). Supernatants from RAW264.7 cells treated with 50 U/mL IFN-γ, 10 µg/mL anti-CXCL9 neutralizing antibodies, and/or 10 µg/mL anti-CXCL10 neutralizing antibodies (R&D Systems) were placed in the bottom chambers. The whole system was incubated for 48 h at 37 °C in an atmosphere of 5 % CO2. A flow cytometry assay was performed to count the cells in the bottom chamber. Chemotactic index = (migrated cells – spontaneously migrated cells) /total T cells plated in the Transwell × 100 % [16].
Migration assay
Migration assay was performed to assess RAW 264.7 cell migration in 24-well plates (8-µm pore size, Corning). Briefly, RAW 264.7 cells (5 × 104) were planted in the upper chambers which has been precoated with Matrigel (Corning). The lower chamber was placed with supernatants from GL261 cells with different treatment. The whole system was incubated for 48 h at 37 °C in an atmosphere of 5 % CO2 for RAW 264.7 cell migration. The cells were stained with trypan blue. All images were processed and analyzed using ImageJ.
Immunofluorescence
Neoplastic tissues were collected from GBM patients and syngeneic intracranial GBM models, fixed with formalin, and embedded in paraffin. Frozen sections tumours were from obtained syngeneic intracranial GBM models. Paraffin-embedded sections and frozen sections were used for immunofluorescence staining. Primary antibodies, including anti-PD-L1 (Abcam, #224,030), anti-EMP3 (Invitrogen, PA5-97705), anti-CD86 (Abcam #239,075), anti-CD206 (Abcam, #125,028), anti-CD8α (Invitrogen, A700-044), anti-CD4 (Invitrogen, MA5-32166), and anti-Ki67 (CST, #12,075), were diluted (1:100) in PBS with 1 % BSA. After overnight incubation at 4 °C, the samples were washed three times with PBS and incubated with FITC-labelled anti-IgG (Alexa Fluor 488 or 594, Thermo Fisher) for 2 h at room temperature. DNA was stained with DAPI (Sigma-Aldrich, USA), and samples were visualized with a fluorescence microscope (Olympus, Japan). The proportion of stained cells/field was subjected to statistical analysis. All images were processed and analysed using ImageJ.
Haematoxylin and eosin (H&E) staining
Paraffin-embedded sections were used for H&E staining. Briefly, deparaffinized and rehydrated brain sections on slides were incubated with haematoxylin (Sigma-Aldrich) for 4 min to stain the nuclei and then incubated with eosin (Solarbio) for 2 min.
Measurement of cytokine and chemokine levels
RAW264.7 cells were cultured in 96-well plates for 24 h, culture supernatants were collected, and the secretion of TNF-α and IL-10 was detected with an Inflammatory Cytometric Bead Array kit (BD Biosciences) according to the manufacturer’s instructions. GL261 cells were cultured in 96-well plates for 24 h, culture supernatants were collected, and the secretion of TGF-β1 and CCL2 was measured with ELISA kits purchased from RayBiotech following the manufacturer’s instructions.
RNA extraction and real‐time quantitative PCR (qRT-PCR)
Total RNA was isolated from RAW264.7 and GL261 cells using TRIzol reagent according to the manufacturer’s instructions (Invitrogen). Total RNA and the PrimeScript RT Reagent Kit (Takara, Japan) were used to synthesize cDNA. qRT-PCR was performed with a reaction mixture containing SYBR Green (Takara, Japan) for triplicate samples with the CFX96 Touch Real-Time PCR Detection System (Bio-Rad, USA) [17]. The expression levels of genes were normalized to that of β-actin through the 2−ΔΔCt method. The primer sequences used for PCR in this study are listed in Supplementary Table 2.
Patients
The GBM tissues used in this study were from 27 patients. Patient information is listed in Supplementary Table 3. All the patients included in the study were from The First Affiliated Hospital, Zhejiang University School of Medicine. All research performed was approved by the Clinical Research Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine. The enrolment criteria were as follows: (1) 18- to 70-year-old male or female; (2) primary GBM diagnosed by a pathologist; (3) wild-type status for IDH1 in GBM tissues; and (4) voluntary participation in the study with a signed informed consent form (ICF). The exclusion criteria were as follows: (1) unwilling to participate in the study and refused to sign an ICF; and (2) other conditions considered by the researchers to be inappropriate for inclusion. The clinical data are listed in Supplementary Table 3.
Syngeneic intracranial GBM model
Four-week-old female C57BL/6 mice were purchased from Beijing Vital River Laboratory Animal Technology Co., Ltd. (China). Briefly, a total of 4 × 105 GBM cells (GL261 EMP3_KO and GL261 EMP3_Scra) were injected into the brain of each mouse using stereotactic equipment. The intracranial tumours were measured with bioluminescence imaging on days 7, 21 and 35, and the survival time was recorded until the experimental endpoints. Mice were injected intraperitoneally with an anti-CXCR3 mAb (200 µg per mouse, BD Biosciences) or IgG (200 µg per mouse, BioXCell) on the first day after tumour implantation and then every 3 days for a total of 6 doses. An anti-PD-1 antibody was purchased from Merck. After tumour implantation, mice were treated with PD-1 blockade (200 µg per mouse, Selleck) or IgG (200 µg per mouse, BioXCell) every 4 days for a total of 5 doses. All animal experiments were approved and supervised by the Tab of the Animal Experimental Ethical Inspection of the First Affiliated Hospital, Zhejiang University School of Medicine.
Ex vivo analysis of the infiltration of T cells by multicolour FACS
Mice were euthanized for ex vivo immune analysis. The spleen, brain, and blood were collected for flow cytometry. Lymphocytes isolated from brain tumours were purified using Percoll or Ficoll gradient centrifugation. Single-cell splenocyte suspensions were obtained using mechanical dissociation of the spleen followed by RBC lysis. CD4+ and CD8+ T cells were gated from CD3+ T cells. For subtype staining, CD4+ and CD8+ T cells were fixed and permeabilized with a Fix & Perm kit (BD Biosciences) and stained for intracellular cytokines. The following antibodies were used in the analysis: anti-IFN-γ (XMG1.2), anti-TNF-α (MP6-XT22), and anti-IL-2 (JES6-5H4), which were purchased from BD Biosciences. Flow cytometric analysis was conducted on a FACSFortessa flow cytometer (BD Biosciences), and FlowJo software (FlowJo, LLC) was used to analyse the data.
Statistics
The TCGA and CGGA transcriptomic data were processed through CIBERSORT (https://cibersort.stanford.edu/) using the default LM22 immune cell gene signatures. Pearson’s correlation was applied to correct for two comparisons. Confidence intervals for the Pearson’s correlation coefficients were calculated using the normal approximation given by the Fisher Z-transformation. The Kaplan-Meier method was used to generate survival curves. The log-rank test was used to assess statistical significance between different groups. Differences between groups were analysed using an unpaired two-tailed t-test. ROC (receiver operating characteristic) curves were generated by using SPSS 22.0. R version 3.3.2, with the extension package “corrplot” used to produce figures. Data are presented as the mean ± SD, and all in vitro experiments were replicated at least 3 times. p < 0.05 was considered statistically significant.
Results
EMP3 is associated with immunosuppression in GBM
To determine the immunosuppressive role of EMP3 in GBM, we compared GBM transcriptional profiles from TCGA and CGGA datasets, together with signatures for GBM-mediated immunosuppressive gene sets [11, 18]. Single-sample GSEA (ssGSEA) analysis was conducted. The results revealed that EMP3 was associated with immunosuppression (Fig. 1a-b, Supplementary Fig. 1A-B). By the CIBERSORT algorithm, the higher EMP3 expression group exhibited higher percentages of M2 TAMs and CD4 memory resting T cells but lower percentages of CD8 T cells and CD4 memory activated T cells in the TCGA dataset (Fig. 1c). However, in the CGGA dataset, there was no significant difference between the high EMP3 expression group and the low EMP3 expression group (Supplementary Fig. 1C). We found that EMP3 expression correlated with the expression of M2 TAM markers in both the TCGA and CGGA datasets (Fig. 1d, Supplementary Fig. 1D) and that EMP3 was correlated with immunosuppressive factors of tumour cells and factors of exhausted cytotoxic T lymphocytes (Fig. 1e, Supplementary Fig. 1E). In human and mouse GBM tissues, we performed immunofluorescence (IF) staining to evaluate EMP3, M2 TAMs, and PD-L1. We observed elevated EMP3 in GBM areas with high expression of PD-L1 and abundant M2 TAM infiltration (Fig. 1f-g, Supplementary Fig. 1F-I). Moreover, we also evaluated CD4+ and CD8+ T cells in human GBM tissues and found that high expression of EMP3 resulted in a lack of CD4+ and CD8+ T cell infiltration (Fig. 1h-i, Supplementary Fig. 1J-K). These findings indicate that EMP3 is associated with immunosuppression in GBM.
EMP3 induces M2 TAM polarization and recruitment in GBM
M2 TAMs have been verified to have functions that promote GBM progression. We hypothesized that GBM-derived EMP3 is critical in the M2 polarization and recruitment of TAMs. Consistently, GSEA with gene sets featuring leukocyte migration genes showed that these genes were markedly overrepresented in GBM patients with high EMP3 expression (Supplementary Fig. 2A). CRISPR/Cas9 was used to knock out EMP3 in GL261 cells (Supplementary Fig. 2B) and supernatants from GL261 cells promoted RAW264.7 cell migration (Fig. 2a). We observed reductions in M2 TAMs markers, such as ARG-1, MRC1 and IL-10, as well as an increase in the M1 marker TNF-α measured by qRT-PCR in RAW264.7 cells (Supplementary Fig. 2C–D). We found that RAW264.7 cells treated with supernatants from EMP3_KO GL261 cells produced less IL-10 but more TNF-α by using ELISA (Supplementary Fig. 2E). BV-2 cells incubated with supernatants from GL261 cells showed positive staining for both CD86 and CD206, indicating that M2 TAMs could be polarized by EMP3 (Fig. 2b). To further explore the effects of GBM-derived EMP3 on M2 TAM polarization in vivo, C57BL/6 mice were intracranially implanted with 4 × 105 GL261 EMP3_KO or EMP3_Scra cells and monitored for tumour growth. We observed that knockout of EMP3 in GL261 cells suppressed tumour growth and prolonged mouse survival (Fig. 2c-e). The number of M2 TAMs infiltrating GBM tumours was reduced in the EMP3_KO group (Fig. 2f). These results reveal that GBM-derived EMP3 plays critical roles in promoting M2 TAM recruitment and polarization.
EMP3 induces CCL2 and TGF-β1 secretion in GBM cells to promote M2 TAM recruitment and polarization
Cytokines contribute to the infiltration of immune cells, including TAMs. M2 TAMs can be induced with CCL2 and TGF-β1 [19]. To illustrate the mechanism of EMP3-mediated recruitment and polarization of M2 TAMs in GBM, we found that EMP3_KO GL261 cells exhibited low mRNA expression of CCL2 and TGF-β1 (Fig. 3a). EMP3_KO GL261 cells produced less CCL2 and TGF-β1 than GL261 cells (Fig. 3b, Supplementary Fig. 3). We found that there was a reduction in the mRNA levels of M2 markers and an increase in the mRNA levels of an M1 marker after CCL2 and TGF-β1 were blocked in the EMP3 overexpression groups (Fig. 3c-d). Then, we further examined the roles of EMP3-induced CCL2 and TGF-β1 in GBM cells in promoting M2 TAM recruitment and polarization. We found that supernatants from GL261 cells treated with anti-CCL2 or anti-TGF-β1 monoclonal antibodies attenuated the promotive effects of EMP3 on monocyte migration and polarization (Fig. 3e-h). These findings suggest that EMP3 regulates CCL2 and TGF-β1 secretion in GBM cells to induce a change in M2 TAM recruitment and polarization.
EMP3 inhibits T cell infiltration in GBM
Because EMP3 could regulate immunological effects, we detected T cell composition and functional changes to clarify the immune mechanisms responsible for the prolonged survival time of glioma-bearing mice with EMP3 deficiency. GBM-bearing mice were euthanized on day 14 after tumour implantation to isolate immune cells from the blood, spleen, and brain. We found that the frequencies of IFN-γ-, TNFα-, and IL-2-producing CD4+ T cells were increased in the brain tumour, spleen, and blood of EMP3_KO model mice (Fig. 4a-c). There were also increased frequencies of IFN-γ-, TNFα-, and IL-2-producing CD8+ T cells in the EMP3-deficient model mice (Fig. 4d-f). However, there were no significant reductions in the frequency of FoxP3+ Tregs in the tumour, blood, or spleen (Fig. 4g). Next, we determined whether there was increased CD8+ T cell-mediated killing activity against EMP3_KO GBM cells. At a T cell: GBM cell ratio of 5:1 or 10:1, there was an increase in murine CD8+ T cell cytotoxicity against EMP3_KO GL261 cells (Fig. 4h). Cumulatively, our data indicate that the elevation in T cell activity results from EMP3 deficiency in GBM cells and that EMP3 plays a critical role in suppressing T cell function.
Loss of EMP3 promotes T cell infiltration via the CXCR3 system in GBM
Macrophages can suppress infiltrating T cells in the TME [20]. Thus, we explored the mechanism by which EMP3-induced TAMs regulate T cell infiltration into the TME. Chemokines play a critical role in the infiltration of T cells [21]. We found that CXCL9 and CXCL10 mRNA and protein expression was increased in RAW264.7 cells incubated with conditioned media from the EMP3_KO groups (Fig. 5a-b). CXCL9 and CXCL10 expression was positively associated with both CD4 and CD8A in the TCGA dataset (Supplement Fig. 4A-D). In addition, we found that CXCL9 expression was positively correlated with CD4 and CD8A in the CGGA dataset (Supplementary Fig. 4E-F). We found that CXCL10 expression was not correlated with CD4 but positively correlated with CD8A in the CGGA dataset (Supplementary Fig. 4G-H). Furthermore, in vitro, inhibition of CXCL9 and/or CXCL10 reduced T cell migration (Fig. 5c). CXCR3 and its ligands (CXCL9 and CXCL10) exquisitely control T cell trafficking and are essential for the differentiation, activation, and function of T cells [22, 23]. In vivo, an anti-CXCR3 antibody reversed the suppression of GBM growth seen in the EMP3_KO group but further promoted tumorigenesis in the EMP3_Scra group and led to poor survival (Fig. 5d-f). When we evaluated the percentages of IFN-γ-, TNF-α-, and IL-2-producing CD4+ and CD8+ T cells within GBM tumours, we noticed that CXCR3 blockade in the EMP3_KO group reduced CD8+ and CD4+ T cell infiltration into the brain tumour, blood, and spleen (Fig. 5g-j, Supplementary Fig. 5A-G). Given the above observations, we next asked whether co-expression of EMP3 and CXCR3 has a prognostic impact in GBM. In the TCGA dataset, we found a negative association between CXCR3 and EMP3, and patients with low EMP3 expression and high CXCR3 expression (EMP3lowCXCR3hi) survived longer (Fig. 5k-l). Collectively, our findings revealed that EMP3-induced T cell exclusion from the GBM microenvironment is mediated through the CXCR3 system.
Knockout of EMP3 and PD-1 blockade have synergistic anti-GBM effects
In GBM, most intratumoural T cells are exhausted with loss of effector function; hence, these T cells do not appear to be responsive to immune checkpoint blockade therapy. TAMs can inhibit antigen presentation and suppress the migration of antigen-presenting cells to regional lymph nodes [1, 24]. We performed immunostaining for PD-L1 in mouse GBM tissues to assess the effect of EMP3. We found that PD-L1 was decreased in EMP3_KO tumours (Fig. 6a), indicating that EMP3 could induce the immunosuppressive ligand PD-L1 in GBM. Therefore, we explored whether EMP3 deficiency can improve the outcomes of mice receiving anti-PD1 therapy. We found that PD1 blockade alone had relatively little effect on tumour growth. However, knockout of EMP3 combined with anti-PD1 therapy resulted in an improvement in tumour growth delay (Fig. 6b-c). Overall survival was prolonged in the EMP3_KO plus anti-PD1 treatment group (Fig. 6d). Histological, IF, and TUNEL assays confirmed the decreased invasiveness and proliferation but increased apoptosis of tumours in the EMP3_KO plus anti-PD-1 treatment group (Fig. 6e). We also evaluated the percentages of CD8+ and CD4+ T cells within the tumour, blood, and spleen and found that anti-PD-1 treatment of EMP3_KO tumour-bearing mice increased IFN-γ-, TNF-α- and IL-2-producing CD8+ and CD4+ T cell infiltration into the brain tumour, blood, and spleen (Fig. 6f-j, Supplementary Fig. 6A-G). Our findings suggest that EMP3 inhibition enhances the PD1 blockade response in GBM.
Discussion
Immunosuppression has been systemically demonstrated, as evidenced by impaired cellular immunity in GBM patients and murine GBM models [25]. While immunotherapy-based approaches have been widely attempted, most clinical trials involving these modalities have failed to report significant outcomes [26, 27]. Indeed, GBMs have a small quantity of infiltrating T cells and harbour abundant M2 TAMs [28]. M2 TAMs can promote tumour cell progression directly by activating angiogenesis, maintaining tumour cell stemness, and inducing drug resistance and indirectly by facilitating dysfunctions in the immune system within the TME, ultimately resulting in immune evasion by cancer cells [2, 3]. M2 TAMs are known to potentiate immunosuppression in GBM and may contribute to the failure of immunotherapies for gliomas [1]. Our data propose a unifying mechanism of EMP3 underlying the crosstalk between GBM cells and the immune system. In GBM, EMP3 expression is upregulated to promote the progression of brain tumours, and high expression of EMP3 is associated with a poor prognosis [9, 12]. From our in silico analyses of the TCGA and CGGA datasets, EMP3 was found to be involved in immunosuppression in GBM. Compared to the CGGA dataset, the TCGA dataset showed an increased percentage of M2 TAMs but a decreased percentage of CD8 T cells in the high EMP3 expression group. The main reason for the inconsistency in predicting the relationship between EMP3 and immune cells is that the number of patients in the CGGA dataset (n = 96) is smaller than that in the TCGA dataset (n = 521). We found that knockout of EMP3 repressed tumorigenesis and produced a survival advantage in mice. A previous study reported that EMP3 could interact with TGF-β receptor type 2 (TGFBR2) upon TGF-β stimulation in GBM cells. Consequently, the EMP3-TGFBR2 interaction activates TGF-β/Smad2/3 signalling and positively impacts TGF-β-stimulated gene expression and cell proliferation in vitro and in vivo [12]. Our findings provide further evidence that EMP3 deficiency in GBM is critical for inhibiting the polarization and recruitment of M2 TAMs by reducing the production of CCL2 and TGF-β1 by GBM cells. It has also been reported that knockdown of EMP3 results in reduced levels of p-AKT, p-ERK and p-EGFR and attenuated cell proliferation, indicating that EMP3 is involved in the regulation of receptor tyrosine kinase-mediated mitogenic signalling [29]. In GBM patients, decreases in CD4+ and CD8+ T cell numbers within the tumour and in the circulation are common, and the T cell population is prone to exhaustion [30, 31]. It has been reported that osteopontin in GBM cells results in an increase in M2 TAMs and reduces T cell infiltration in tumour areas [32]. L19-mIL12, comprising murine IL12 fused to the L19 antibody, has a strong effect on tumour-infiltrating immune cells, increasing the infiltration and activation of CD4 and CD8 T cells in mouse glioma models [33]. In our current research, knockout of EMP3 enhanced the induction of T cell infiltration and secretion of TNF-α, INF-γ, and IL-2 by CD4+ and CD8+ T cells. Elevated expression of CXCL9 and CXCL10 was positively associated with CD4 and CD8 T cell markers in the TCGA and CGGA datasets. Moreover, we observed that EMP3 affected macrophages, causing inhibition of antitumour immunity via suppression of CD4+ and CD8+ T cell infiltration into GBM tumours and downregulation of CXCL9 and CXCL10 production by macrophages. These findings support the view that EMP3 plays a critical role in suppressing TAM-derived CXCL9- and CXCL10-mediated CD4+ and CD8+ T cell infiltration into the TME to promote tumour progression. CXCR3, a chemokine receptor for the interferon-inducible chemokines CXCL9 and CXCL10, is highly expressed on activated T cells and plays pivotal roles in the spatial distribution, migration, and function of T cells [34]. In vivo, blockade of CXCR3 abrogated the suppression of GBM growth observed in the EMP3_KO group but promoted tumorigenesis in the EMP3_Scra group and led to significantly poorer survival. The patients in the EMP3lowCXCR3hi group survived longer. Functional immune assays also demonstrated that inhibition of CXCR3 suppressed T cell infiltration. To some extent, these results suggest that EMP3 and CXCR3 have an antagonistic effect on glioma.
The increased T cell populations may be due to increased infiltration or reduced T cell death within tumours. Exhaustion has been shown to facilitate T cell apoptosis via the PD-1/PD-L1 axis and therefore may contribute to the loss of T cells at the tumour site [17, 35]. Clinical trials of immune checkpoint blockade therapies, predominantly targeting PD-1 or PD-L1, have been ongoing in GBM, although initial results have been disappointing [36]. In our present study, anti-PD1 therapy alone showed minimal improvement in EMP3_Scra tumours. However, in EMP3_KO tumours, the treatment produced a greater antitumour response. In addition, increased populations of both CD4+ and CD8+ T cells within GBM tumours were observed. In glioma, PD-1 expression on the surface of T cells is one of the hallmarks of T cell exhaustion. PD-1+ T cells have a narrower range of cognate antigen targets than PD-1− T cells, accounting for the immune responses to PD-1 blockade therapies [37]. Increased expression of PD-L1 suppresses CD8+ T cell activation and acquisition of an effector phenotype. Reduced PD-L1 expression accompanied by PD-1-targeted immunotherapy diminishes tumour growth and increases survival dependent on CD8+ T cells [38–40]. In our GBM specimens, we found that the expression of EMP3 was positively associated with PD-L1. In vivo, we found that knockout of EMP3 downregulated PD-L1, which might explain the increased cell killing demonstrated by CD8+ T cells against EMP3_KO cells. Moreover, to strengthen PD-1 inhibitor efficacy, ablating M2 TAMs has been shown to enhance anti-PD-1 immunotherapy in different GBM subtypes [41, 42]. In our present study, it was showed that EMP3 could induce M2 TAM polarization and recruitment in GBM. The above findings indicate that EMP3 has a synergistic effect with PD-1 in glioma.
Conclusions
To summarize, we uncovered the important roles of EMP3 in mediating M2 TAM infiltration and suppressing intratumoural T cell recruitment (Fig. 6g). In addition, EMP3 deficiency decreased PD-L1 expression, augmented anti-PD-1 treatment, and produced a survival advantage in glioma-bearing mice. Our findings indicate that the combination of EMP3 inhibition and PD-1 blockade is a promising therapy for GBM patients.
Supplementary Information
Acknowledgements
The authors would like to acknowledge all the members of the Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine.
Abbreviations
- GBM
Glioblastoma
- TAMs
Tumour-associated macrophages
- EMP3
Epithelial membrane protein 3
- TME
Tumour microenvironment
- ssGSEA
Single-sample GSEA
- TCGA
The Cancer Genome Atlas
- H&E
Haematoxylin and eosin
Authors’ contributions
Conception and design: Q. Chen, R. Zhan, H. Huang. Development of methodology: Q. Chen, J. Jin, X. Huang, H. Huang. Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): Q. Chen. Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): Q. Chen. Writing, review, and/or revision of the manuscript: Q. Chen, F. Wu, J. Jin, X. Huang, H. Huang. Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J. Jin, X. Huang. Study supervision: Q. Chen. The authors read and approved the final manuscript.
Funding
This study was supported by (1) The National Natural Science Foundation of China (No. 81902903); (2) The China Postdoctoral Science Foundation (No. 2019M652109 and No. 2020T130585); and (3) The Natural Science Foundation of Zhejiang Province (No. LY21H160022).
Availability of data and materials
Not applicable.
Declarations
Ethics approval and consent to participate
This study was approved by the Clinical Research Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine and the Tab of the Animal Experimental Ethical Inspection of the First Affiliated Hospital, Zhejiang University School of Medicine.
Consent for publication
Consent for publication was obtained from the participants.
Competing interests
The authors declare no potential conflicts of interest.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Qun Chen, Email: chenqun1318013@zju.edu.cn.
Hongguang Huang, Email: hongguanghuang@163.com.
Renya Zhan, Email: 1196057@zju.edu.cn.
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