Introduction
Oral squamous cell carcinoma (OSCC) is the most common histological subtype in oral cancer, and often allied with relapse [
1]. Despite recent advances in traditional treatment such as surgery, chemotherapy, radiotherapy or a combination of these modalities [
2], unfortunately, the survival of OSCC patients has remained relatively unchanged for the last several decades and the main reason for treatment failure is locoregional recurrence [
3]. Therefore, discovering new mechanisms and biomarkers to aid in the diagnosis and treatment of OSCC is needed to achieve better patient outcomes. Recently, we previously found that stromal IL-33/ST2 signaling directly or indirectly enhanced PD-L1 (B7-H1)-mediated immune escape [
4,
5] and also revealed that OXTR
+ stromal fibroblasts induced high tumor invasion potential and postoperative recurrence in partial OSCC subgroup [
6].
It appears that metabolic disruptions in cancer cells may not only be indicative of cancer, but could also be a contributing factor to the development of tumors, such as alterations in glucose, glutamine, and lipid metabolism [
7]. Cancer cells take advantage of lipid to generate energy, form biofilms, and generate signaling molecules necessary for growth, survival, invasion, and metastasis [
8]. Lipid droplets (LDs) participate in lipid metabolism. Structurally, LDs consist of a neutral lipid core surrounded by a phospholipid monolayer that contains a diverse array of embedded proteins [
9], including perilipins (PLIN), a family of proteins that involved in the synthesis of neutral lipids [
10]. Importantly, among major members of PLIN family, PLIN2 and PLIN3 consistently play active roles in intracellular lipid storage, nascent LD biogenesis, and the lipolysis of LDs, while other PLIN isoforms remained unaltered [
11‐
15]. However, for many years, the study of PLIN2 and PLIN3 in cancer was restricted to descriptions in different tumors. Some studies reported that in cutaneous melanomas, pancreatic ductal adenocarcinoma, breast cancer, and lung adenocarcinomas, the overexpression of PLIN2 was strongly associated with adverse outcome [
16‐
19], while in prostate cancer, renal clear cell carcinoma, cervical cancer, and liver cancer, PLIN3 promoted tumor progression [
20‐
24]. Although PLIN2 and PLIN3 have clinical utility in specific tumors, research to prove their validity in OSCC was lacking.
Abnormal lipid metabolism can enable tumor cells to establish an immunosuppressive network [
25] and multiple immune proteins nucleated around PLIN2 in response to lipopolysaccharide [
26]. Similarly, we discovered that CD68
+ PLIN2
+ tumor-associated macrophages induced immune suppression, accompanied by high levels of immune checkpoint molecules [
27]. Previous studies found that PLIN3 can participate in the transformation of macrophages and promote the expression of Toll-like receptor 9 to activate the immune response [
28,
29]. However, the potential interactions between PLIN3 and other main components of the tumor microenvironment (TME), especially immunocytes in OSCC, are yet to be elucidated.
In this work, immunohistochemistry (IHC) staining of OSCC and single-cell RNA sequencing (scRNA-seq) in head and neck squamous cell cancer (HNSCC) tissue show the location of PLIN3 in tumor. Further, we used IHC serial sections and peripheral blood samples to analyze the intricate crosstalk with PLIN3 and immunocytes in OSCC. Furthermore, in vitro and in vivo functional assays including OSCC/T cell co-culture system were performed to validate the malignant function and the underlying mechanism of PLIN3, providing new clues for guiding clinical prevention and treatment of OSCC.
Materials and methods
Patients and samples
The studies involving human participants were reviewed and approved by the Ethics Committee of Nanjing Stomatology Hospital (2019NL-009(KS)). OSCC tumors were obtained from 87 patients from 2014 to 2015 in Nanjing Stomatological Hospital. Informed consent was provided by the patients for the use of their tissues and data. All cases were reviewed by experienced pathologists. Paraffin-embedded OSCC tissue slices were obtained from the pathology department and used for immunohistochemistry study. Seventy-four blood samples from OSCC patients were obtained for flow cytometry assay before any related treatments. Additional 51 OSCC samples were used to determine the correlation between PLIN3 and B7-H2. The 51 samples tested by flow cytometry and 87 samples tested by IHC were all primary OSCC patients who had not received preoperative radiotherapy or chemotherapy.
Immunohistochemistry and quantification
The protocol of immunohistochemistry of formalin-fixed paraffin-embedded sections was performed as previously described [
30]. The primary antibodies include PLIN3 (diluted 1:500, Abcam, ab224344), B7-H2 (diluted 1:400, Abcam, ab257321), Ki-67 (diluted 1:200, ab16667; Abcam), CD4 (ZSGB-BIO, ZM-0418), CD8 (ZSGB-BIO, ZA-0508), CD19 (ZSGB-BIO, ZM-0038), CD56 (ZSGB-BIO, ZM-0057), and CD68 (ZSGB-BIO, ZM-0464). The CD4, CD8, CD19, CD56, and CD68 antibody working solution did not need to be diluted and was used directly by dropwise addition. The assessment of antigen expression was based on the intensity of the stain and the proportion of cells that tested positive. The percentage of stained cells was defined as 0 = 0–5%; 1 = 6%–25%; 2 = 26%–50%;3 = 51%–75%; and 4 = 76–100%. Staining intensity was defined as follows: 0 = negative staining; 0 = no staining; 1 = light yellow; 2 = brownish yellow; 3 = dark brownish yellow. The IHC score was calculated by multiplying the two scores as mentioned above. The expression levels of PLIN3, B7-H2, Ki-67, and immunocyte molecules were defined as “low” when it is lower than the median value and as “high” when it is equal to or greater than the median. Two pathologists conducted all scorings without any knowledge of the patients' clinical characteristics or outcome. Define polygonal or long spindle-shaped cells as FLCs with ovoid nuclei and large, distinct nucleoli, whereas TILs have small cytoplasmic bodies and a smaller nucleoplasmic ratio and are often more regular.
Cell culture and reagents
OSCC cell lines (HN6, Cal27, and Cal33) and 293 T cells were obtained from the National Collection of Authenticated Cell Cultures and identified by Short Tandem Repeat. HN6, Cal27, Cal33, and 293 T cells were cultured in DMEM medium (Invitrogen) supplemented with 10% Fetal bovine serum (FBS) (Gibco) at 37 °C in 5% CO2. siRNA and lentiviral plasmid vectors of PLIN3 were purchased from RiboBio and OBIO, respectively. Oleic acid (Merck, O1257) was diluted at a ratio of 1:500 and added to cells for 12 h. All steps were executed according to the manufacturer's instructed protocol.
Cell transfection
Cells were grown on 12/24 wells plate to 50% confluence and transfected the siRNA of PLIN3 using Lipofectamine 3000 (Invitrogen) according to the manufacturer’s instructions. Cells were harvested after 24 h or 48 h for qPCR, Western blot analysis, and RNA sequence (Shanghai OE Biotech. Co., Ltd).
Lentivirus vectors
As for the stable transfection of PLIN3, 293 T cells were cultured in 10-cm dish and transfected with Lentiviral plasmid vector using PolyJetTM DNA in vitro transfection reagents (SignaGen, America), the virus supernatant above 293 T cells was extracted and cultured with tumor cells. The GFP-labeled Lentivirus vector expressing sh-PLIN3 (Lv-ShPLIN3) and overexpression vector containing PLIN3 (Lv-OE-PLIN3) were used, with Lv-ctrl as the matched controls (OBiO Technology Co. Ltd., Shanghai, China).
RNA analysis
RNA was obtained by using AG SteadyPure RNA Extraction Kit following the manufacturer’s procedure and then reversed into cDNA using 5X Evo M-MLVRT Master Mix (Accurate Biotechnology, AG11706). The relevant expression of the genes was determined via 2X SYBR Green Pro Taq HS Premix (Accurate Biotechnology, AG11718).
Western blot analysis
The protocol of WB was performed as previously described [
5]. Protein samples were isolated by 4–20% SDS-PAGE (smart-Lifesciences). The primary antibodies include PLIN3 (1:1000, Abcam, ab224344), B7-H2(1:1000, Abcam, ab257321), PD-L1(1:1000, CST, #13684), and ACTIN (1:2000, Servicebio, GB12001).
RNA sequencing
The RNA sequencing was performed by OEbiotech. Briefly, the collected cells were subjected to RNA isolation using SteadyPure RNA Extraction Kit (AG) according to the instructions. In the constructed RNA library, rRNA was removed using the TruSeq Stranded Total RNA with Ribo-Zero Gold kit and cDNA was reverse transcribed. Purified DNA was amplified by QPCR. The libraries were quantified and sequenced (Illumina, San Diego, CA). Differentially expressed mRNAs were further analyzed according to p values < 0.05.
Pathway enrichment analysis
GSEA includes GO enrichment and KEGG pathway assays, employed to unveil the fundamental biological process, cellular composition, and functional molecules. Each gene set was assigned a distinct gene set based on a 'hallmark'.
Oil Red O staining assay
The working Oil Red O solution was obtained by diluting saturated Oil Red O solution (Servicebio technology) at 6:4 with distilled water. The cells which were cultured in 6-well plate were washed twice using PBS and fixed in 4% paraformaldehyde for 10 min before staining, and then the cells were incubated in 60% isopropanol for 15 s and incubated in Oil Red O staining solution avoiding light for 10 min, and finally, washed twice, photographed and counted. Using image J to measure the length of LDs. Oil Red O staining of frozen sections was also carried out according to the instructions [
21].
Immunofluorescence
Cultured cells were fixed in 4% paraformaldehyde solution on the 6-well plates and washed in 1xPBS prior to staining with 10 μg/ml BODIPY 493/503 (Invitrogen, D3922) for 10 min. Samples were then washed with PBS twice. Similarly, cells were incubated with 5 μg/ml Nile red solution (Invitrogen, N1142) for 15 min at room temperature to stain neutral lipids, and the images were visualized by immunofluorescence microscopy.
Wound healing assay
The constructed stable-transformation cell lines and control cells were seeded in 6-well plates until 100% fusion. The wounds were scored with a micropipette tip and then washed with PBS and cultured in serum-free DMEM medium. The same area of the wound was photographed at 0 and 24 h to analyze the wound closure of the cells. ImageJ software was used to measure the trace widths of different treatment groups for analysis.
Transwell assay
To assess cell migration capacity, transwell assays were done as described previously [
21]. In brief, 2 × 10
4 cells were seeded in the top chamber of the insert (200 μL/well) with serum-free medium, followed by adding media containing 10% FBS in the lower chamber as a chemoattractant (600 μL/well). Five fields were randomly chosen, and the migration ability of tumor cells was assessed by ImageJ software.
3D spheroid models
To assess the proliferative capacity of tumor cells, we used 3D spheroid models. Spheroid formation was achieved by using ultra-low attachment (ULA) culture plates (96-well spheroid microplates with ULA surface). HN6 cells were grown in DMEM supplemented with 10% FBS and 1% penicillin–streptomycin. A total of 8000 cells were seeded per well and cultured in an ultra-low adhesive environment in a humidified 5% CO2 atmosphere at 37 °C, and the medium was refreshed once a day. The diameter of tumor spheres was observed daily for the following eight days.
Preparation of human peripheral blood mononuclear cells (PBMCs)
PBMC was prepared as previously reported [
5]. All study participants provided informed consent and approved by the ethical committee of Nanjing Stomatology Hospital, affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Co-culture experiment of PBMC and tumor cells
The experimental group and the control group of tumor cells were plated in 12-well plates, and the count of cells in each well was 1 × 105. According to the ratio of PBMC: tumor cells = 5:1, PBMC was added into the 12-well plates and cultured for 48 h, and then flow cytometry was performed.
Flow cytometry assay
The PBMC samples were collected from patient's peripheral blood. Percentage and absolute numbers of lymphocytes were assessed by flow cytometry. Cells were collected and then washed and suspended in 200μL PBS. Cells were stained with CD45-PerCP, CD3-FITC, CD4-APC, CD8-PE, CD19-APC, CD16-PE, CD56-PE (BD Multitest™) for 30 min to enumerate the CD3
+CD4
+ T cells, CD3
+CD8
+ T cells, CD3
−CD19
+ B cells, and CD3
−CD16
+CD56
+ NK cells, respectively. Flow cytometry was finally performed using FACSCalibur instrument and analyzed using FlowJo software, and the graphs were generated by GraphPad Prism. For the cell subtypes of PBMC analysis, details of this protocol were the same as the previous description [
31].
Statistics
SPSS 18.0 and GraphPad Prism 8.0 software packages were used for data analysis and graphic processing. Pearson's chi-square test and Fisher's exact test were used to compare clinicopathological characteristics. Two-tailed Student's t test was used to compare the two groups of OSCC patients. Survival analysis was performed using the Kaplan–Meyer test and log-rank test. Statistical significance was defined as confidence intervals greater than or equal to 95% or P < 0.05. Experiments shown are representative of three different replicates.
Discussion
PLIN3, as a surface protein of LDs, can regulate LD biosynthesis and degradation [
42]; PLIN3 associates with LDs in a manner that is responsive to the status of neutral lipid synthesis and storage in the cell [
21]. At the same time, PLIN3 plays an important role in cell viability and autophagy, which can lead to drug resistance to treatment [
43]. Kaplan–Meier curves revealed that elevated PLIN3 predicted poor DFS and OS in clear cell renal cell carcinoma [
22]. In prostate cancer, PLIN3 overexpression promotes tumor progression [
43]. Similar to previous studies, we demonstrated that PLIN3 was upregulated and predicted a poor prognosis in OSCC, suggesting that PLIN3 accumulated in cells to serve as a conservative oncogene to promote cancer development.
Trempolec et.al reported the secretion of active TGF-β2 drives a significant increase in LD amounts within DCs and alters their metabolic status in such a way that it contributes to impair DC activity, including through a defect in antigen presentation and T cell activation [
25]. We found that PLIN3 was inversely associated with CD4/CD8 in tumor tissue and knocking-down PLIN3 can reduce intracellular LDs deposits, which was consistent with the previous findings [
42], making us turn to investigate immune checkpoint molecules. B7-H2 as B7 homolog binds not only to the inducible co-stimulator (ICOS) but also to the CD28 [
44], and the functional study of B7-H2 found that it can promote the production of IL-4 and IL-10, thereby inhibiting the activity of CD8
+ T lymphocytes in TME [
45]. Consistently, our research showed that PLIN3 upregulated the expression of PD-L1 and B7-H2 (ICOSLG). Previous studies also supported the role of B7-H2 in tumor progression: Patients with B7-H2
high tumors showed high TNM stage and lymph node metastasis with less infiltrated CD8
+ cells in OSCC tumor center and in blood and were connected to worse survival (OS, DFS) in OSCC patients [
41], which was consistently observed in our study. In summary, PLIN3 induced apoptosis of CD8
+ T lymphocytes and promoting the expression of PD-L1 and B7-H2 in OSCC.
In conclusions, we uncovered the tumorigenic-promoting function of PLIN3 in OSCC. Elevated PLIN3 expression in patients correlated with shorter survival time and postoperative distant metastasis. Furthermore, PLIN3 inhibited CD8+ T cells infiltration not only in the tumor microenvironment but also in circulating lymphocytes, which might be regulated by B7-H2.
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