Abstract
Introduction
Lung cancer is one of the most common malignant tumours worldwide, and its incidence is increasing yearly. Approximately 80% of lung cancers are non-small cell lung cancer (NSCLC), and approximately one-third of patients are at an advanced stage at the time of disease diagnosis, thus missing the opportunity for surgery. 1 The treatment options for NSCLC vary with disease stages. For patients with advanced disease, the main treatment methods include traditional chemotherapy and molecular targeted therapy, which have emerged in recent years. Targeted therapy for lung cancer involves the disruption of multiple important steps in tumour cell growth. Although molecular targeted therapy has become a new and effective treatment for NSCLC and can prolong patient survival, to determine the response rates for immunosuppressants, the immunobiology of lung cancer and the effect of the tumour microenvironment (TME) on the survival time of NSCLC patients need to be elucidated. 2
A growing body of evidence indicates that various cellular components in the TME, especially myeloid-derived suppressor cells (MDSCs), play an important role in inhibiting antitumour immunity.3–4 MDSCs are phenotypically heterogeneous cell populations derived from bone marrow progenitor cells and immature myeloid cells. 5 MDSCs proliferate in large quantities in cancer, inflammation, and infection and can inhibit antitumour immunity and promote tumour growth and metastasis through a variety of mechanisms. 6 The presence of MDSCs (CD33+ HLA-DR- CD11b+ lin) in lung cancer patients is associated with the clinical stage of lung cancer. 7 In tumour-bearing mice, high levels of granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin 1β (IL-1β), and vascular endothelial growth factor are involved in the proliferation, aggregation induction, and angiogenesis of MDSCs. 8 However, no single factor has been identified that induces the MDSC phenotype, suggesting that the synergy between multiple factors plays an important role in the proliferation and activation of MDSCs.
miRNA-21 is an oncogenic miRNA, and its overexpression promotes the occurrence and development of a variety of cancers. 9 miRNA-21 levels in tissue and serum samples from NSCLC patients are significantly higher than those in individuals without NSCLC. 10 Studies have shown that miRNA-21 overexpression affects the overall survival of NSCLC patients and is an important factor for the poor prognosis of NSCLC patients. miRNA-21 is highly expressed in the serum of NSCLC patients with lymph node metastasis and poor differentiation. 11 miRNA-21 participates in the occurrence, development and metastasis of lung cancer by regulating the proliferation, differentiation, apoptosis and invasion of lung cancer cells. 12 In-depth studies on the relationship between miRNAs and tumours have been conducted; the results from some studies have confirmed that abnormal miRNA-21 expression affects the occurrence and development of tumours through the regulation of oncogenes. However, the specific mechanism and target of miRNA-21 have not been fully elucidated.
Therefore, this study investigated MDSCs in the peripheral blood and plasma of NSCLC patients to determine the regulatory effect of the interaction between miRNA-21 and MDSCs on NSCLC and its clinical significance.
Materials and methods
Patients
Basic information of the subjects in each group.
There was no significant difference between the two experimental groups in terms of age, monocytes, granulocytes, and absolute number of lymphocytes (p > 0.05).
Experimental method
Specimen collection and processing
Peripheral whole blood: Two millilitres of venous whole blood was collected from NSCLC patients and healthy individuals who underwent a physical examination into a tube containing an anticoagulant (EDTA-K2, sodium dipotassium citrate). The specimens were subjected to flow cytometry detection within 24 h.
Serum: Serum was isolated from peripheral blood and stored at −80°C to assess miRNA-21 expression levels.
Flow cytometry analysis
A BD FACSCalibur (BD Biosciences, USA) flow cytometer was employed in this study. The detection method used four-colour fluorescence labelling technology. The antibodies included fluorescein isothiocyanate (FITC)-labelled CD11b, phycoerythrin (PE)-labelled CD33, allophycocyanin (APC)-labelled CD15, and peridinin-chlorophyll protein (PerCP)-cy5.5-labelled CD14 (all purchased from BD Pharmingen, USA). Specimens underwent extracellular antibody staining. Briefly, 50 μL of fresh whole blood and 10 μL of each reagent (CD11b, CD33, CD14, and CD15) were mixed and incubated at 4°C in the dark for 20 min; 2 mL of haemolysin (BD Biosciences, USA) was added to lysis red blood cells at room temperature in the dark for 10 min; 1 mL of buffer was added; the sample was centrifuged at 250×g for 5 min and washed twice; and after the supernatant was discarded, the sample was analysed by flow cytometry. Gating was performed on a BD FACSCalibur flow cytometer (BD Biosciences, USA) based on the morphological parameters of forward scattering and side scattering (FSC/SSC) images. The numbers of CD11b+CD33+CD14+ and CD11b+CD33+CD15+ MDSCs were calculated.
RNA extraction and real-time quantitative PCR
First, a serum miRNA extraction kit (Magen) was used to extract miRNA from plasma (refer to the kit manual for the specific protocol). After determining the concentration of the extracted miRNA, it was stored at −80°C. Then, the miRNA was reverse transcribed into cDNA using a miRcute Plus miRNA First-Strand cDNA Kit from TIANGEN BIOTECH (refer to the kit manual for the specific protocol). Last, the cDNA was subjected to fluorescence quantitative PCR. A 20-μL reaction system was prepared on ice following the instructions provided with the miRcute-enhanced miRNA cDNA first-strand synthesis kit from TIANGEN BIOTECH. The reaction conditions were divided into two steps: the first step was pre-denaturation at 95°C for 30 s, and the second step was PCR, i.e., 40 cycles of 95°C for 5 s and 60°C for 30 s. Samples were mixed gently before being placed in the PCR machine. The dissolution curve was confirmed after the reaction was completed, and the experimental data were analysed. The primer sequences were designed and synthesized by Sangon Biotech (Shanghai) Co., Ltd. The primer sequences were as follows: internal reference U6 F ’GGAACGATACAGAGAAGATTAGC and R ‘TGGAACGCTTCACGAATTTGCG’; and hsa-miR-21: F ‘ACGTTGTGTAGCTTATCAGACTG’ and R ‘AATGGTTGTTCTCCACACTCTC’.
Magnetic bead separation of MDSCs
Peripheral blood mononuclear cells (PBMCs) were isolated from peripheral blood using the Ficoll method, and CD11b+ mononuclear cells were isolated from PBMCs using magnetic bead sorting. PBMCs were isolated from 20 mL of anticoagulated whole blood using the Ficoll method. After washing the cells twice with PBS buffer containing 0.5% BSA, they were diluted to a concentration of 1 × 108/L. A total of 20 μL of CD11b magnetic beads (Miltenyi, Germany) was added to the cells, followed by a 20-min incubation in the dark and centrifugation. The cells were then slowly added to a separation column (Miltenyi, Germany) to isolate the CD11b+ cell population. Isolated cells were placed in culture medium for subsequent cell experiments.
Cell culture
Isolated MDSCs were seeded into 96-well cell culture plates (4 × 105 cells/L per well). The cells were divided into four groups including control miRNA-NC mimics group, miRNA-21 mimics group, control miRNA-NC inhibtor group and miRNA-21 inhibtor group, and incubated overnight at 37°C in 5% CO2. After 24 h of culture, transfection was performed using the transfection reagent Lipo2000. The four groups were transfected with miRNA-NC mimics, miRNA-21 mimics, miRNA-NC inhibtor and miRNA-21 inhibtor respectively. Cell proliferation was assessed using a CCK8 kit at 0 h, 24 h, 48 h, and 96 h after transfection.
The levels of INOS and ARG-1 detected by ELISA
Supernatants were collected 48 h after transfection, and iNOS and ARG-1 expression was detected by enzyme-linked immunosorbent assay (ELISA). The iNOS (CSB-EL002005HU) and ARG-1 (CSB-E08148h) detection kits were purchased from Cusabio, Wuhan, China (refer to the kit manual for the specific protocol). A standard curve was generated, and the concentration of each test sample was calculated.
The expression of Ki67 detected by Immunohistochemistry
Immunohistochemistry was conducted to detect the expression of Ki67 in human lung cancerous tissues. Briefly, paraffin embedded tissues were cut into 5 μm slides. Tissues were incubated with anti-Ki67 antibody (Dako, China) overnight at 4°C. Next day, each sample was incubated with HRP-labeled second antibodies (Servicebio, China) for 1 h. The expression level of Ki67 was analyzed using a light microscope (Zeiss, Germany). The expression levels of Ki67 were graded based on the percentage of tumor cells stained by the antibody (Figure 5): Negative = background staining intensity; 10% Positive = weak staining intensity; 40% Positive = moderate staining intensity; 80% Positive = strong staining intensity. The expression levels of Ki67 were graded based on the percentage of tumor cells stained by the antibody. (a) Negative = background staining intensity; (b) 10% Positive = weak staining intensity; (c) 40% Positive = moderate staining intensity; (d) 80% Positive = strong staining intensity. Scale bar, 50 μm.
Statistical analysis
GraphPad Prism 6.0 software was used to prepare tables and figures and statistically analyse the experimental results. Data are expressed as the mean ± SEM. Statistics were performed using unpaired t-tests for comparisons between two groups. Correlations were analyzed using the Pearson’s rank correlation test. p < 0.05 was considered a statistically significant difference.
Results
Proportions of different MDSC subpopulations in the peripheral blood of NSCLC patients
We first investigated the presence of different subpopulations of MDSCs in the peripheral circulation of NSCLC patients. Polymorphonuclear MDSCs (PMN-MDSCs: CD15+CD11b+CD33+ group) and mononuclear MDSCs (M-MDSCs: CD14+CD11b+CD33+ group) were detected in the peripheral circulation of both the control group and the NSCLC patients (Figure 1(a) ). We observed that the percentage of PMN-MDSCs in the peripheral blood of NSCLC patients (65.85 ± 1.46%, N = 60) was significantly higher compared with control group (53.37 ± 1.89%, N = 20) (p < 0.05) (Figure 1(b)). However, the percentage of M-MDSCs was no significant difference between NSCLC patients (0.60 ± 0.07%, N = 60) and the control group (0.51 ± 0.06%, N = 20) (p > 0.05) (Figure 1(c)). Frequency and phenotype of MDSC cells in the peripheral blood of NSCLC patients and healthy donors. (a) CD14+ cells and CD15+ cells were gated on the peripheral blood CD11b+CD33+ groups, respectively. (b) The percentages of CD15+ MDSC cells. (c) The percentages of CD14+ MDSC cells. Data were presented as mean ± SEM. Unpaired t-tests was used for comparisons between two groups. ***p < 0.001, significantly different from the values in the healthy donors.
Plasma miRNA-21 expression in NSCLC patients
Serum miRNA-21 expression was assessed by q-PCR, and its expression was significantly higher in the NSCLC group than in the control group (p < 0.05) (Figure 2(a)). In the correlation analysis, the presence of CD15+ MDSCs in the peripheral circulation of NSCLC patients was significantly positively correlated with serum miRNA-21 expression (p < 0.0001) (Figure 2(b)). Expression of miR-21 in serum of NSCLC patients. (a) The expression of miR-21 in serum of NSCLC patients and healthy donors. (b) Correlation of miR-21 with CD15+ MDSC cells. Correlation analysis was performed using the Spearman’s rank correlation test. *p < 0.05, significantly different from the values in the healthy donors.
Effect of miRNA-21 on MDSCs
Next, in vitro experiments were conducted to verify the interaction between miRNA-21 and MDSCs. MDSCs were isolated via immunomagnetic beads and were transfected with miRNA-21 mimics and miRNA-21 inhibtor; overexpression and inhibtion were verified by q-PCR (Figure 3(a)). The CCK-8 assay results indicated that miRNA-21 mimics promoted continuous proliferation of MDSCs over time (p < 0.0001) (Figure 3(b)). The ELISA results indicated that miRNA-21 overexpression promoted ARG-1 and iNOS secretion from MDSCs (p < 0.0001) (Figures 3(c) and (d)). The effect of miRNA-21 on MDSCs. MDSC cells were transfected with control mimics, miR-21 mimics, or control inhibtor and miR-21 inhibtor. (a) miRNA-21 expressions of four groups were examined by q-PCR. (b) The transfected cell viability was assessed using MTT. (c) The level of ARG-1 was detected by ELISA assay. (d) The level of iNOS was detected by ELISA assay. Unpaired t-tests was used for comparisons between two groups. **p < 0.01, ***p < 0.001, miR-21 mimics group was significantly different from the values in the control mimics group. #p < 0.05, ##p < 0.01, ###p < 0.001, miR-21 inhibtor group was significantly different from the values in the control inhibtor group.
Correlation between miRNA-21 and MDSCs and clinical symptoms
The correlation analysis results indicated that the presence of CD15+ MDSCs in the peripheral circulation of NSCLC patients was significantly positively correlated with serum CEA expression (Figure 4(a)) and positively correlated with plasma C-reactive protein (CRP) expression (Figure 4(b)); and the presence of CD15+ MDSCs in the peripheral circulation of NSCLC patients was positively correlated with ki67 expression in tumour tissue (Figure 4(c)). The serum index correlation with circulating CD15+ MDSC cells in NSCLC patients. (a) Correlation between serum CEA level and CD15+ MDSC cells in NSCLC patients. (b) Correlation between CRP level and CD15+ MDSC cells in NSCLC patients. (c) Correlation between ki67 percentage and CD15+ MDSC cells in NSCLC patients. Correlation analysis was performed using the Pearson’s rank correlation test.
Discussion
In this study, the presence of MDSC subtypes and the expression of miRNA-21 in the peripheral circulation of NSCLC patients were investigated. The presence of PMN-MDSCs and the expression of miRNA-21 were significantly higher in NSCLC patients than in controls, and there was a positive correlation between PMN-MDSCs and miRNA-21 expression. Cell experiments confirmed that miRNA-21 promoted MDSC proliferation, cytokine secretion and thus tumour growth.
An increase in immunosuppressive cells is often associated with an increase in tumour burden, leading to T-cell dysfunction, which is conducive to tumour cell proliferation and invasion. MDSCs are negatively correlated with the chemotherapy response and survival time in lung cancer patients and can lead to resistance to immune checkpoint inhibitors. 13 MDSCs can also regulate the development of tumour-associated macrophages (TAMs) and T regulatory (Treg) cells and activate the reprogramming of immunosuppression in the TME, which is one of the main challenges of NSCLC immunotherapy. 14 MDSCs can be recruited to tumour sites by CC chemokine ligand 2 (CCL2), CXC chemokine ligand 12 (CXCL12), and CXCL5.15–17 The acquisition of immunosuppressive properties by MDSCs in the TME is mediated by STAT1, STAT3, STAT6, and nuclear factor-κB.18,19 Then, activated MDSCs produce immunosuppressive cytokines such as ARG1, iNOS2, NADPH oxidase, and indoleamine 2,3-dioxygenase (IDO). These cytokines inhibit cytotoxic T lymphocytes, natural killer (NK) cells, and dendritic cells (DCs) and activate Treg cells. 20 The results of this study indicated that the number of PMN-MDSCs and expression of miRNA-21 in the peripheral circulation of NSCLC patients were significantly higher than those in normal individuals, a finding that is consistent with reports in China and elsewhere. There was no significant difference in the presence of M-MDSCs, a finding possibly related to the number of specimens and the selection of patients. PMN-MDSCs and miRNA-21 were significantly positively correlation, suggesting a mutual influence between the two that promotes the immune escape of NSCLC. However, we also admit that the number of samples is small, and expanding the sample can get more accurate conclusions. In vitro experiments confirmed the hypothesis that miRNA-21 indeed impacts MDSC proliferation and ARG-1 and iNOS secretion. However, our experiment also has some shortcomings that used CD11b to sort the cell population representing MDSCs. Furthermore, ARG-1 and iNOS deplete arginine necessary for T-cell activation in the TME, induce T-cell arrest in the G0/G1 phase, inhibit T-cell proliferation and immune function, and allow tumour cells to escape immune system surveillance, thereby inhibiting tumour formation and recurrence. Previous studies also showed that ARG-1 and iNOS expression in the tumour tissue of NSCLC patients were significantly increased and associated with lymph node metastasis.
In recent years, miRNA dysregulation has been confirmed to be an important factor or mechanism for the occurrence and development of tumours. It affects tumour proliferation, angiogenesis, metastasis and acquired drug resistance through interactions between malignant cells, nonmalignant stromal cells and noncellular components in the TME. Studies have demonstrated that miRNA-21 is an important regulatory factor for the growth and invasion of NSCLC and can directly regulate the expression of human salivary histatin tissue 1 (HTN1) in the H1650 NSCLC cell line. 21 miRNA-21 promotes the migration and invasion of lung cancer cells by binding to the 3′-UTR of HTN1, indirectly confirming that miRNA-21 has a certain interference effect on the growth and invasion behaviour of lung cancer cells. 22 In addition, in lung cancer cell experiments, miRNA-21 reduced the number of G2 cells and increased the number of S-phase cells among lung cancer cells through the AKT/P-AKT/cleaved-caspase3/MMP-2/MMP-9 cell signalling pathway, thereby promoting human lung cancer cell proliferation and inhibiting apoptosis. 23
Conclusion
Our experimental results confirmed that miRNA-21 affected the proliferation and function of MDSCs in NSCLC; however, the specific signalling pathways and regulatory mechanisms are still unclear. Further experimental studies are needed to confirm the results herein.
Footnotes
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Health Bureau of Zhejiang Province, Zhejiang, China (2020KY971), Science and Technology Bureau of Tongxiang, Zhejiang, China (201902302).
Ethics approval
Ethical approval for this study was obtained from the ethics committee of First People’s Hospital of Tongxiang City with the ethics number of 2020162.
