Abstract
Objectives
Macrophage-derived exosomes (Mφ-Exos) are involved in tumor onset, progression, and metastasis, but their regulation in oral squamous cell carcinoma (OSCC) is not fully understood. RBPJ is implicated in macrophage activation and plasticity. In this study, we assessed the role of Mφ-Exos with RBPJ overexpression (RBPJ-OE Mφ-Exos) in OSCC.
Materials and Methods
The long non-coding RNA (lncRNA) profiles in RBPJ-OE Mφ-Exos and THP-1-like macrophages (WT Mφ)-Exos were evaluated using lncRNA microarray. Then the functions of Mφ-Exo-lncRNA in OSCC cells were assessed via CCK-8, EdU, and Transwell invasion assays. Besides, luciferase reporter assay, RNA immunoprecipitation, and Pearson’s correlation analysis were adopted to confirm interactions. Ultimately, a nude mouse model of xenografts was used to further analyze the function of Mφ-Exo-lncRNAs in vivo.
Results
It was uncovered that lncRNA LBX1-AS1 was upregulated in RBPJ-OE Mφ-Exos relative to that in WT Mφ-Exos. RBPJ-OE Mφ-Exos and LBX1-AS1 overexpression inhibited OSCC cells to proliferate and invade. Meanwhile, LBX1-AS1 knockdown boosted the tumor to grow in vivo. The effects of RBPJ-OE Mφ-Exos on OSCC cells can be reversed by the LBX1-AS1 knockdown. Additionally, mechanistic investigations revealed that LBX1-AS1 acted as a competing endogenous RNA of miR-182-5p to regulate the expression of FOXO3.
Conclusion
Exo-LBX1-AS1 secreted from RBPJ-OE Mφ inhibits tumor progression through the LBX1-AS1/miR-182-5p/FOXO3 pathway, and LBX1-AS1 is probably a diagnostic biomarker and potential target for OSCC therapy.
Keywords: OSCC, macrophage, exosomal lncRNA, RBPJ, FOXO3
Introduction
Oral squamous cell carcinoma (OSCC) is one of the most aggressive head and neck cancers and has a poor survival rate (1). Although multiple therapeutic strategies can be administered clinically to treat OSCC, the overall 5-year survival rate after diagnosis remains less than 50%, mainly owing to cancer metastasis to lymph nodes and distant sites (2, 3). Therefore, a better understanding of the molecular mechanisms underlying OSCC metastasis is essential to develop novel therapies against OSCC.
Increasing evidence unveils that exosomes (Exos) mediate the interactions between macrophages and cancer cells (4–6). M2 macrophage-derived exosomes facilitate hepatocarcinoma metastasis by transferring α β integrin to tumor cells (7), and M2 bone marrow-derived macrophage-derived exosomes shuffle microRNA-21 to accelerate immune escape of glioma by modulating PEG3 (8). Besides, downregulated lncRNA SBF2-AS1 in M2 macrophage-derived exosomes elevates miR-122-5p to restrict XIAP, thereby limiting pancreatic cancer development (9).
Long non-coding RNAs (lncRNAs) are a class of transcripts longer than 200 nucleotides with no protein-coding capacity and are poorly conserved (10). LncRNAs have also been found in Exos (11), and they are thought to modulate the expression of genes and miRNAs (12). Exosome-Transmitted lncRNAs can regulate growth of cancers (13, 14). Recent studies have unveiled the involvement of lncRNAs in OSCC progression by competitive sponging miRNAs (15, 16). For instance, lncRNA RC3H2 facilitates cell proliferation by targeting microRNA-101-3p/EZH2 axis in OSCC (17). However, whether Mφ-Exo-lncRNAs can regulate the progression of OSCC is unclear.
The Notch pathway is involved in several cancers progression (18, 19), and it is also believed to be responsible for the activation and differentiation of macrophages (20, 21). The recombination signal binding protein for immunoglobulin kappa J region (RBPJ) is often used as a marker for the activation of Notch signaling (22). Upon ligand binding, the Notch intracellular domain translocates into the nucleus and forms a complex with the transcription factor RBPJ to activate expression of Notch target genes (22). Loss of the Notch effector RBPJ promotes tumorigenesis (23). Moreover, Notch-RBPJ signal transduction regulates the transcription factor IRF8 to facilitate inflammatory macrophage polarization (24).
In the current research, we probed the impacts of Mφ-Exos overexpressing RBPJ (RBPJ-OE Mφ-Exos) on OSCC cell proliferation and invasion and compared them with Exos from THP-1-like macrophages (WT Mφ-Exos) (25). To further understand the regulatory mechanism of RBPJ-OE Mφ-Exos in OSCC, we also determined the differentially regulated lncRNAs when RBPJ was upregulated in Mφ-Exos. In addition, we identified the miRNA binding partners of the lncRNA upregulated in RBPJ-OE Mφ-Exos and their targets. The aim of this study was to further understand the mechanisms of macrophage-derived exosomes-lncRNA, and to identify diagnostic biomarkers and potential therapeutic targets.
Materials and Methods
Cell Culture and Clinical Specimens
Human monocytic cell line THP-1 and OSCC cell lines (SCC-4 and CAL-27) were purchased from the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences (Shanghai, China). THP-1 cells were cultured in RPMI-1640 medium provided by Gibco (Shanghai, China), and OSCC cells were cultured in Dulbecco’s Modified Eagle medium (DMEM, Gibco, China) with 10% heat-inactivated fetal bovine serum (FBS) from Thermo Fisher Scientific (Shanghai, China), 100 U/ml penicillin, and 100 µg/ml streptomycin from HyClone Laboratories (Beijing, China) at 37°C in a moist incubator with 5% CO2 and used in the exponential growth phase.
Forty paired OSCC tissues and para-tumor tissues were obtained from patients receiving surgery at Foshan Stomatological Hospital between 2016 and 2019. They were diagnosed by histopathology and received no treatment prior to the operation. Besides, all participants signed informed consent in written form before the research. This research gained the approval of the Ethics Committees of Foshan Stomatological Hospital, School of Stomatology and Medicine, Foshan University (FSU2016033), and was conducted as per the Helsinki Declaration.
Isolation of Exos Derived From THP-1 Mφ Cells With or Without the Overexpression of RBPJ
To obtain WT Mφ and RBPJ-OE Mφ, THP-1 cells underwent transfection with the pCMV6 empty vector or pCMV6 overexpressing RBPJ (OriGene, Rockville, MD, USA) and seeded at 1 × 106 cells/well in a six-well culture plate. Gradient centrifugation was utilized for Exo isolation from the cell culture medium. Specifically, the medium underwent 30-min centrifugation at 3,000 × g for removal of cells and cellular debris. Subsequent to collection of the supernatant, the medium underwent 30-min centrifugation again at 10,000 × g to discard larger microvesicles. Finally, 70-min Exo isolation from the supernatant was implemented at 110,000 × g and 4°C, and the Exos were reserved in phosphate buffered saline (PBS) at −80°C.
Transmission Electron Microscopy Assay
Exos for transmission electron microscopy (TEM) were prepared as mentioned above. Briefly, Exos were first fixed in 2.5% glutaraldehyde (pH 7.2) at 4°C, then washed in PBS, embedded in 10% gelatin, and fixed in 1% osmium tetroxide for 60 min at indoor temperature. Next, the embedded Exos were cut into 1 mm-thick blocks and dehydrated with gradient alcohol. The alcohol was then replaced with gradient mixture of Quetol-812 epoxy resin and propylene oxide. Afterwards, samples were embedded in Quetol-812 epoxy resin, polymerized at a temperature gradient, and cut into ultrathin sections using a Leica UC6 ultramicrotome. Finally, subsequent to dying by uranyl acetate and lead citrate, a transmission electron microscope was utilized for section observation.
Microarray Analysis
The isolation and quantification of the total RNAs were independently implemented using Trizol reagent provided by Life Technologies (Shanghai, China) and NanoDrop ND-1000. The enriched lncRNAs were then amplified and labeled fluorescently using the Quick Amp Labeling Kit (Agilent Technologies) as per the guideline of the manufacturer. In the meantime, we hybridize the labeled cRNAs onto an Arraystar Human lncRNA Array (8× 60K, version 2.0). Subsequent to rinsing and scanning of slides using an Agilent Scanner G2505B, the obtained images were assessed via Agilent Feature Extraction software (version 10.7.3.1). Quantile normalization and subsequent data processing were performed using GeneSpring GX software, version 11.5.1 (Agilent Technologies). Volcano plot filtering was used to identify the lncRNAs with statistically significant differences.
RNA Extraction and Quantitative Real-Time PCR (qRT-PCR)
The reverse transcription of mRNAs and lncRNAs into cDNAs was implemented using a reverse transcription kit from Takara (Beijing, China). Next, cDNAs were subjected to RT-PCR on a Quantstudio™ DX system (Applied Biosystems, Singapore) under the following conditions: denaturation at 95°C for 30 s and (denaturation at 95°C for 5 s, at 60°C for 10 s, and at 72°C for 30 s) ×40 cycles. Afterwards, we utilized 2-ΔCT or 2-ΔΔCT to quantify mRNAs and lncRNAs by normalizing to GAPDH (26) and to determine the relative expression subsequent to the normalization of miRNA expression to small nuclear U6. Each experiment was separately performed in triplicate. All PCR primers were listed in Table 1 .
Table 1.
Name | Sequence | |
---|---|---|
LBX1-AS1 | Forward | 5’- CAGGCGTTCCTTTCTTTCTG-3’ |
Reverse | 5’- AGGACAGACGCTTGAGGAAA-3’ | |
FOXO3 | Forward | 5’- CGGACAAACGGCTCACTCT-3’ |
Reverse | 5’- GGACCCGCATGAATCGACTAT-3’ | |
GAPDH | Forward | 5’-GGCTGTTGTCATACTTCTCATGG-3’ |
Reverse | 5’-GGATCTCGCTCCTGGAAGATG-3’ | |
U6 | Forward | 5’-CTCGCTTCGGCAGCACA-3’ |
Reverse | 5’-AACGCTTCACGAATTTGCGT-3’ | |
miR-182-5p | Forward | 5’- ACACTCCAGCTGGGTTTGGCAATGGTAGAACT-3’ |
Reverse | 5’- CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGAGTGTGAG-3’ | |
LBX1-AS1 siRNA | Sense | 5’- GGGGCGAGGAGGCGAGGGCUU-3’ |
Antisense | 5’- GCCCUCGCCUCCUCGCCCCUU-3’ | |
miR-182-5p mimics | Sense | 5’- UUUGGCAAUGGUAGAACUCACACU -3’ |
Antisense | 5’- UGUGAGUUCUACCAUUGCCAAAUU-3’ | |
miR-182-5p inhibitor | Sense | 5’- AGUGUGAGUUCUACCAUUGCCAAA-3’ |
Cell Transfection
LBX1-AS1 overexpression plasmid (p-lncRNA) and its negative control pcDNA3.1, small interfering RNAs (siRNAs) targeting LBX1-AS1 and non-specific negative control oligos (si-NC), miR-182-5p mimics, inhibitor, and the negative control (NC), and the shRNAs were synthetized by GeneChem (Shanghai, China). Detailed sequences were depicted in Table 1 . SCC-4 and CAL-27 cell lines underwent inoculation in six-well plates at 24 h prior to transfection with pcDNA3.1, p-lncRNA, si-NC, si-lncRNA, and miR-182-5p mimics or inhibitor under 50–60% cell confluence using Lipofectamine 3000 (Invitrogen) as per the guideline of the manufacturer. Later, the effects of knockdown or overexpression were examined by qRT-PCR using the RNAs that were extracted after 48-h transfection. For Exo treatment, OSCC cells were cultured in medium containing 5 μg/ml Exos from WT Mφ, RBPJ-OE Mφ or si-lncRNA and RBPJ-OE Mφ.
Cell Proliferation Assays
Approximately 1.0 × 104 transfected SCC-4 and CAL-27 cells were cultured in 96-well plates, and then underwent 1-h incubation with CCK-8 reagent (Beyotime, Shanghai, China). The absorbance at 450 nm was recorded using an Infinite M200 multimode microplate reader (Tecan, Shanghai, China).
After approximately 48-h transfection, the 5-ethynyl-2’-deoxyuridine (EdU) assay kit provided by Ribo (Guangzhou, China) was utilized to examine the proliferation of SCC-4 and CAL-27 cells. Specifically, cells were grown in culture medium containing EdU (Invitrogen) solution (1:1,000). At the proliferative stage, the cells were labeled with EdU for 2 h, followed by rinsing with PBS (0.5 g/ml) thrice. Subsequently, the cells were stained by 4′,6-diamidino-2-phenylindole (DAPI) from Invitrogen for 10 min at indoor temperature in the dark and underwent PBS rinsing more than twice. Ultimately, assessment of the stained cells was implemented via the FACSCalibur DxP flow cytometer (BD Biosciences, Shanghai, China).
Cell Invasion Assays
Cell invasion was assessed in the Matrigel assay using the 24-well invasion chamber system equipped with polycarbonic membranes (diameter 6.5 mm, pore size 8 μm) from BD Biosciences (Santa Clara, CA, USA). Subsequent to incubation and dying, a microscope was adopted to quantify cells co-cultured with Exos and migrating through the membranes in four fields that were randomly chosen. Each assay was repeated at least three times with triplicate samples each time.
Luciferase Reporter Assay
Sequences of WT or MUT LBX1-AS1 or the full length of the 3′-UTR of FOXO3 with WT or MUT putative binding sites were interposed into the pmir-GLO vector from Promega Corp. (Beijing, China). 293T cells seeded into 24-well plates underwent co-transfection with 50 nM miR-182-5p mimics or a NC and 80 ng WT or MUT plasmids using Lipofectamine 2000 (Invitrogen)and the 80 ng of plasmids were later added with 5 ng of pRL-SV40. Lastly, luciferase intensity was determined using the Dual-Luciferase Reporter Assay Kit from Promega (Beijing, China) and a microplate reader.
RNA Binding Protein Immunoprecipitation (RIP) Assay
We carried out the RIP assay using a Magna RIP Kit from Millipore (Hongkong, China) as per the guideline of the manufacturer. Specifically, cells (1 × 107) were lysed with the lysis buffer provided in the kit and the lysate was separately put into two tubes [one with anti-Argonaute2 (AGO2) antibody and the other with a non-specific anti-IgG antibody (Millipore)]. The cell lysates were incubated nightlong at 4°C, and then incubated with magnetic beads for a further hour. Proteinase K was then added for sample incubation at 55°C for another hour. In the end, RNA extraction reagent (Solarbio, Beijing, China) was used to obtain the RNAs, and specific genes were detected and measured using qRT-PCR.
Western Blot Analysis
Cell lysis was performed in RIPA buffer (Beyotime, Nantong, China) containing protease and phosphatase inhibitors (Beyotime). A BCA Protein Assay kit (Beyotime) was utilized to identify protein concentration, and the samples (40 µg proteins per lane) underwent SDS-PAGE with 10% gel for separation. Next, proteins were electrotransferred onto a PVDF membrane (Beyotime) that was sealed by 5% BSA (Beyotime) for 1 h at indoor temperature. Later, we incubated the membrane with primary antibodies against TSG101 (1:1,000, ab125011, Abcam, Shanghai, China), CD63 (1:1,000, ab217345, Abcam, Shanghai, China), FOXO3 (1:1,000, ab23683, Abcam, Shanghai, China), and GAPDH (1:1,000, ab8245, Abcam, Shanghai, China) at 4°C nightlong, and subsequently with secondary antibodies coupled to HRP (Beyotime, Nantong, China) at indoor temperature for 1 h. Immobilon ECL substrate (Millipore) was used to generate signals, which were detected using the Optimax X-ray Film Processor provided by Protec (Shanghai, China).
Xenograft Nude Mouse Model
Six-week-old adult male BALB/C nude mice (n = 3/group) were commercially provided by Shanghai SLAC Laboratory Animal Co., Ltd. (Shanghai, China) and reserved in a SPF environment with a LD (12:12) cycle. All animal studies obtained the approval of the Institutional Animal Care and Use Committee of Foshan Stomatological Hospital, School of Stomatology and Medicine, Foshan University, and implemented in line with institutional and national guidelines. SCC-4 cells undergoing stable sh-NC or sh-lncRNA transfection, or WT Mφ-Exo, RBPJ-OE Mφ-Exo or RBPJ-OE Mφ-Exo-sh-lncRNA (5 μg/ml) pretreatment were hypodermically injected into the nude mice (1 × 106 cells per mouse) on the right upper back. Later, we utilized a caliper to determine the growth of tumor every 7 days for 35 days, and calculate its volume based on the formula: volume = (length × width2)/2. Five weeks later, we intraperitoneally injected overdose pentobarbital (>120 mg/kg body weight) to kill all the mice so that they were unable to spontaneously breath. Afterwards, the xenograft tumor tissues were sampled for subsequent analyses.
Statistical Analysis
GraphPad Prism 6.0 software provided by GraphPad Inc. (San Diego, CA, USA) was utilized to statistically evaluate data. Experimental results were presented as mean ± standard deviation (SD). The statistically significant differences between tumor tissues and para-tumor tissues were determined using paired Student’s t-test. Besides, the statistically significant differences between other two groups were detected using Mann-Whitney U-test or unpaired Student’s t-test in light of conditions. Furthermore, the comparisons among different groups (multigroup comparisons) were implemented by one-way ANOVA and the post hoc Bonferroni test. Lastly, Pearson’s correlation coefficient was determined to test associations among LBX1-AS1, miR-182-5p, and FOXO3. P < 0.05 signified statistically significant differences.
Results
Mφ-Exos Overexpressing RBPJ Inhibit Proliferation and Invasion of OSCC Cells
WT Mφ-Exos and RBPJ-OE Mφ-Exos were isolated by ultracentrifugation and characterized by TEM ( Figure 1A ). To further confirm the identity of the Exos, the expression levels of CD63 and TSG101 (Exo markers) were evaluated. Western blot assessment showed that the isolated Exos were enriched with CD63 and TSG101 ( Figure 1B ). These data indicate the successful isolation of Exos from WT Mφ-Exos and RBPJ-OE Mφ-Exos.
To further investigate the effects of these two groups of Exos on the proliferation of OSCC cells, we cocultured SCC-4 or CAL-27 cells with Exos for 4 days and measured cell proliferation through CCK-8 and EdU experiments. As demonstrated in Figures 1C–D , the presence of RBPJ-OE Mφ-Exos significantly curbed SCC-4 and CAL-27 cells to proliferate when compared with WT Mφ-Exos or negative control groups. In addition, Transwell invasion assays indicated that RBPJ-OE Mφ-Exos were able to inhibit invasion of SCC-4 and CAL-27 cells ( Figure 1E ). Overall, these results confirm that the overexpression of RBPJ in Exos can suppress OSCC cells to proliferate and invade.
Expression Profiles of lncRNAs in RBPJ-OE Mφ-Exos
We wonder whether RBPJ-OE Mφ-Exos could influence the expression of RBPJ in OSCC cells. We performed qRT-PCR to detect the expression of RBPJ in the WT Mφ, RBPJ-OE Mφ, WT Mφ-Exos, RBPJ-OE Mφ-Exos, WT Mφ-Exos treated SCC-4/CAL-27 cells, and RBPJ-OE Mφ-Exos treated SCC-4/CAL-27 cells. Our results showed that RBPJ mRNA is highly expressed in RBPJ-OE Mφ ( Supplementary Figure 1A ). Nevertheless, there is no significant difference of RBPJ level between WT Mφ-Exos treated SCC-4/CAL-27 cells and RBPJ-OE Mφ-Exos treated SCC-4/CAL-27 cells ( Supplementary Figure 1B ). As the PCR amplification cycles of RBPJ in WT Mφ-Exos and RBPJ-OE Mφ-Exos are higher than 40, we can’t detect the expression level of it in the exosomes. This result means that RBPJ could not be enriched in macrophage exosomes. We wonder whether there are different expressions of lncRNAs between WT Mφ-Exos and RBPJ-OE Mφ-Exos. The lncRNA profiles in RBPJ-OE Mφ-Exos and WT Mφ-Exos were evaluated using a lncRNA microarray technique. Twenty-seven lncRNAs were differentially expressed (P < 0.05 and log2FC > 2.0 or < −2.0) in RBPJ-OE Mφ-Exos and the controls ( Figures 2A, B ). We have uploaded the data of this lncRNA profiles on ArrayExpress with the accession E-MTAB-9989. Among them, 24 lncRNAs dramatically rose up and 3 lncRNAs evidently declined. LBX1-AS1 with the most obvious rising trend was selected and validated by qRT-PCR in RBPJ-OE Mφ-Exos and WT Mφ-Exos ( Figure 2C ). In the meantime, it was unveiled that LBX1-AS1 was expressed in the RBPJ-OE Mφ at a notably higher level relative to that in the WT Mφ cells ( Figure 2D ). Compared with those in the producer cells, the levels of LBX1-AS1 are enriched by approximately 4 folds in the RBPJ-OE Mφ-Exos ( Figure 2E ).
Mφ-Exo-LBX1-AS1 Inhibits OSCC Cells to Proliferate and Invade
Since the LBX1-AS1 level was the highest in RBPJ-OE Mφ-Exos, to remove its expression from Exos, the siRNA of LBX1-AS1 was transfected into Mφ cells for 48 h, after which Exos were collected ( Figures 2F–G ). Next, OSCC cell proliferation and invasion were investigated by coculturing cells with Mφ-Exos. The inhibitory effects of RBPJ-OE Mφ-Exos on the proliferation and invasion of OSCC cells (SCC-4 and CAL-27) were eliminated when LBX1-AS1 was knocked down in Exos ( Figures 3A–C ). This would be expected if there was an association between RBPJ and LBX1-AS1.
To continuously figure out the biological role of LBX1-AS1 in OSCC cells, SCC-4 and CAL-27 cells underwent transfection with a LBX1-AS1 overexpression vector or siRNA#1 ( Figure 4A ). The results unveiled that LBX1-AS1 overexpression significantly inhibited OSCC cells to proliferate and invade and LBX1-AS1 downregulation significantly promoted it ( Figures 4B–D ). As with the overexpression of RBPJ, the overexpression of LBX1-AS1 inhibited proliferation and invasion of OSCC cells.
LBX1-AS1 Interacts With miR-182-5p
For discovering more about the specific regulation of LBX1-AS1, we performed bioinformatics prediction (starBase). Bioinformatics analysis predicted that LBX1-AS1 and miR-182-5p possessed complementary binding sites ( Figure 5A ). Then we carried out a dual-luciferase experiment in 293T cells to confirm this interaction by mutating the predicted binding site in LBX1-AS1. It was unveiled that the luciferase activity was reduced only in presence of WT LBX1-AS1 and miR-182-5p mimics in OSCC cells ( Figure 5B ), which was further validated using an Ago2 RIP assay. MiRNA is a component of the RNA-induced silencing complex (RISC) containing Ago2. Ago2 is required for miRNA-mediated gene silencing. In this study, we analyzed if LBX1-AS1 and miR-182-5p constitute the same RISC and performed RIP assay in OSCC cells. It is shown that LBX1-AS1 and miR-182-5p were enriched in the immunoprecipitation from anti-Ago2 group than IgG control ( Figure 5C ). Moreover, the level of miR-182-5p was prominently lower in cells overexpressing LBX1-AS1 and higher in cells with LBX1-AS1 silenced ( Figure 5D ), indicating that miR-182-5p expression was strongly influenced by the level of LBX1-AS1. Besides, levels of LBX1-AS1 and miR-182-5p were also analyzed in OSCC and matched para-carcinoma tissues, and the results further substantiated that OSCC tissues exhibited a lower LBX1-AS1 level ( Figure 5E ) and a higher miR-182-5p level ( Figure 5F ). Besides, Pearson’s analysis confirmed a negative interrelation between LBX1-AS1 and miR-182-5p ( Figure 5G ). This indicates that LBX1-AS1 may compete to interact with miR-182-5p and prevent it from regulating other pathways.
LBX1-AS1 Represses OSCC Cells to Proliferate and Invade via the miR-182-5p/FOXO3 Pathway
We next probed the potential binding sites of miR-182-5p. Target prediction and assessment were implemented using starBase (http://starbase.sysu.edu.cn) and miRDB (http://mirdb.org), which identified that miR-182-5p probably interacts with FOXO3, a tumor suppressor gene implicated in several cancers (27–29). Recent study also pointed out that miR-182-5p promotes hepatocellular carcinoma progression by repressing FOXO3a (30). Later, we mutated two potential miR-182-5p target sites in FOXO3 ( Figure 6A ) and performed a luciferase reporter experiment, which ascertained that miR-182-5p overexpression in SCC-4 cells dramatically weakened the luciferase activity of FOXO3 at both target sites ( Figure 6B ). Thereafter, we examined the transfection efficiency of miR-182-5p mimics and inhibitor ( Figure 6C ). The mRNA and protein levels of FOXO3 dropped down in SCC-4 and CAL-27 cells overexpressing miR-182-5p but rose up in OSCC cells undergoing miR-182-5p inhibitor transfection ( Figures 6D–E ). Overexpression of LBX1-AS1 upregulated FOXO3 whereas miR-182-5p mimics transfection reversed it in SCC-4 cells ( Figure 6F ). Besides, downregulation of LBX1-AS1 inhibited FOXO3 whereas miR-182-5p inhibitor transfection reversed it in CAL-27 cells ( Figure 6F ). Relative to the matched paracarcinoma tissues, FOXO3 was expressed at a lower level in OSCC tissues ( Figure 6G ). In OSCC tissues, FOXO3 was negatively correlated with miR-182-5p, but positively correlated with LBX1-AS1 expression ( Figures 6H–I ). Further, LBX1-AS1 overexpression inhibited cells to proliferate and invade whereas miR-182-5p mimics transfection reversed it in SCC-4 and CAL-27 cells ( Figures 7A–C ). Nevertheless, LBX1-AS1 mutant plasmid can’t inhibit the cell proliferation and invasion of OSCC cells ( Figures 7A–C ). It can be assumed that LBX1-AS1 inhibits proliferation and invasion in OSCC cells by interacting with miR-182-5p and upregulating FOXO3 expression.
RBPJ-OE Mφ-Exos Inhibits Tumor Growth Through the LBX1-AS1/miR-182-5p/FOXO3 Pathway In Vivo
For proving the effect of Mφ-Exo-LBX1-AS1 on the modulation of OSCC growth in vivo, SCC-4 cells transfected with sh-lncRNA or sh-NC or cocultured with WT Mφ-Exos, RBPJ-OE Mφ-Exos, or RBPJ-OE Mφ-Exo-sh-lncRNA were subcutaneously injected into nude mice. The level of LBX1-AS1, miR-182-5p, and FOXO3 from the xenograft tumors were detected by qRT-PCR ( Figures 8A–C ). Tumors cultured with RBPJ-OE Mφ-Exos were significantly smaller, whereas those undergoing sh-lncRNA transfection were significantly larger. The greatest differences in the tumor volume and weight were observed in the tumors between RBPJ-OE Mφ-Exos group and sh-lncRNA group ( Figures 8D–F ). What’s more, the inhibitory effects of RBPJ-OE Mφ-Exos on the tumor growth in vivo were eliminated when LBX1-AS1 was knocked down in Exos ( Figures 8D–F ). These results signify that RBPJ-OE Mφ-Exos might inhibit tumor growth through a LBX1-AS1/miR-182-5p/FOXO3 pathway in xenograft tumor models.
Discussion
Macrophages are abundant in the OSCC tumoral environment and associated with its progression (31, 32). Moreover, the macrophage environment is heterogenous with the progression of tumors dependent on alternatively polarized M2 macrophages and tumorigenic immune responses dependent on M1-polarized macrophages (33, 34). Therefore, improving the understanding of macrophage regulation in the tumoral environment is important in developing effective therapies for OSCC. Notch-RBPJ signaling is believed to regulate TLR-induced inflammatory macrophage polarization by the indirect regulation of M1-specific genes (24).
In this study, we examined whether overexpressing RBPJ in macrophages would influence OSCC cells. We found that RBPJ-OE Mφ-Exos could inhibit cell proliferation and invasion of OSCC cells. Furthermore, we probed their interrelations by investigating the differentially regulated lncRNAs in Mφ-Exos with upregulated RBPJ. Using the lncRNA microarray technique, we discovered that 27 Exo-lncRNAs were differentially regulated in WT Mφ-Exos with RBPJ overexpression, of which 24 were upregulated and 3 were downregulated. Later, we selected highest expressed lncRNA, LBX1-AS1 for further analysis. Then we unveiled that the inhibitory effects of RBPJ-OE Mφ-Exos on the proliferation and invasion of OSCC cells (SCC-4 and CAL-27) were eliminated when LBX1-AS1 was knocked down in Exos. Meanwhile, LBX1-AS1 overexpression dramatically repressed OSCC cells to proliferate and invade. These associations required further investigation, so we searched for miRNAs that may interact with LBX1-AS1.
The public database (starBase) predicted that LBX1-AS1 may interact with miR-182-5p, which was validated via dual luciferase reporter and RIP assays. Our studies proved that LBX1-AS1 and miR-182-5p constitute the same RISC. Then, a negative correlation between miR-182-5p and LBX1-AS1 in OSCC and matched para-carcinoma tissues was confirmed by Pearson’s analysis. Thus, we deduced that LBX1-AS1 may repress miR-182-5p to prevent it from interacting in other pathways. StarBase revealed that miR-182-5p interacted with FOXO3, a well-known tumor suppressor gene (27–29). Furthermore, FOXO3a reactivation mediates the synergistic cytotoxic effects of rapamycin and cisplatin in oral squamous cell carcinoma cells (35). In the current research, we found that LBX1-AS1 overexpression upregulated FOXO3 and inhibited cells to proliferate and invade whereas miR-182-5p mimics transfection reversed them in OSCC cells. What’s more, FOXO3 expression displayed a negative interrelation with miR-182-5p level and a positive correlation with LBX1-AS1 level in OSCC tissues. In vivo assays further verified that RBPJ-OE Mφ-Exos might inhibit tumor growth through a LBX1-AS1/miR-182-5p/FOXO3 pathway in xenograft tumor models.
This research has several deficiencies. First, the effect of the exosomes derived from LBX1-AS1-overexpressed macrophage cells on OSCC cells should be explored. Second, it is worth trying to inject RBPJ-overexpressed macrophage-derived exosomes daily into OSCC-injected mice to examine its therapeutic potential. Third, another macrophage activation method (non-transgenic) should be included in this study to further confirm the effects of activated macrophage-derived exosomes.
To conclude, LBX1-AS1 suppress OSCC cells to proliferate and invade via the miR-182-5p/FOXO3 pathway. Moreover, RBPJ-OE Mφ-Exos inhibits tumor growth by stimulating the LBX1-AS1/miR-182-5p/FOXO3 pathway in vitro and in vivo. The above results indicate that RBPJ-OE Mφ-Exos probably play a potential regulation role in the OSCC progression and LBX1-AS1 could be a biomarker for OSCC diagnosis and potential target for OSCC therapy.
Data Availability Statement
The data presented in the study are deposited in the ArrayExpress repository, accession number (E-MTAB-9989).
Ethics Statement
The studies involving human participants were reviewed and approved by Foshan Stomatological Hospital, School of Stomatology and Medicine, Foshan University (FSU2016033). The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by Foshan Stomatological Hospital, School of Stomatology and Medicine, Foshan University.
Author Contributions
CZ and XL designed the study. YA, CZ, and ZT performed the experiments. HW and SW collected and analyzed the data. CZ was a major contributor in developing the first draft of this manuscript. CZ and XL revised this manuscript. All authors contributed to the article and approved the submitted version.
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.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.605884/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in the study are deposited in the ArrayExpress repository, accession number (E-MTAB-9989).