Overexpression of B7‑H4 promotes renal cell carcinoma progression by recruiting tumor‑associated neutrophils via upregulation of CXCL8
- Authors:
- Published online on: June 5, 2020 https://doi.org/10.3892/ol.2020.11701
- Pages: 1535-1544
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Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Renal cell carcinoma (RCC) is one of the most common cancers, accounting for >140,000 deaths worldwide each year (1). RCC has been considered to be an immunogenic tumor (2). Interleukin-2, interferon α and immune checkpoint inhibitors have been used clinically in RCC therapy (3–5). Novel immunotherapies, such as the combination of anti-programmed death ligand-1 antibody and anti-cytotoxic T-lymphocyte-associated protein 4 antibody, have demonstrated clinical benefit (6). However, only a proportion of patients with RCC benefit from the novel immunotherapies (7). The immune suppression microenvironment of RCC remains to be investigated.
B7 family member H4 (B7-H4), also known as B7× or B7S1, is one of the members of the B7 superfamily of co-stimulatory molecules and serves as an inhibitory modulator of the T-cell response (8). B7-H4 mRNA is widely expressed in human peripheral tissues, but its protein expression in normal tissues seems to be limited (9). To date, B7-H4 has been detected in several types of human cancer tissue. In ovarian cancer, B7-H4 expression is associated with tumor-infiltrated antigen-presenting cells (APCs) (10). In colorectal carcinoma, B7-H4 facilitates tumor proliferation and metastasis (11). The expression of B7-H4 in lung cancer is associated with decreased PFS under nivolumab treatment (12). Elevated B7-H4 in breast cancer is associated with an ‘immune-cold’ microenvironment (13). In renal cell carcinoma, intrahepatic cholangiocarcinoma and thyroid cancer, the expression level of B7-H4 is positively associated with tumor progression (14–16). Previous studies have reported that B7-H4, which is a type I transmembrane glycoprotein, binds to its corresponding receptor on lymphocytes, thus negatively regulating the immune response (8,17,18). However, certain tumors express B7-H4 protein in intracellular compartments (19–22). Unlike tumor-associated macrophages, B-cells and dendritic cells (DCs) with membrane expression of B7-H4, tumor cells expressing intracellular B7-H4 do not inhibit T-cell immunity (21). Therefore, it appears that intracellular B7-H4 has a distinct biological function to membrane-located B7-H4 (22,23). In order to investigate the biological function of B7-H4 in kidney cancer cells, the present study constructed negative control (NC)/786-O and B7-H4/786-O cell lines, and screened the differentially expressed genes (DEGs) in B7-H4/786-O cells by microarray analysis. The identified DEGs were subsequently validated by western blotting.
Materials and methods
Cell culture
The 786-O cell line (catalogue TCHu186) was purchased from the Shanghai Cell Bank of the Shanghai Institute for Biological Sciences. The cells were cultured in RPMI 1640 medium (Gibco, Thermo Fisher Scientific, Inc.) containing 10% fetal bovine serum (Gibco, Thermo Fisher Scientific, Inc.) at 37°C, 5% CO2. A total of 1×106 786-O cells/well in 24-well plates were transfected with 50 µl/well LV5-B7-H4 lentivirus (Genepharma Co., Ltd) or empty vector (Genepharma Co., Ltd) with 5 µg/ml polybrene (Genepharma Co., Ltd) according the manufacturer's instructions. The stable expression clones were selected in medium containing 0.5 mg/ml G418 (Thermo Fisher Scientific, Inc.) 24 h post-transfection. After 2 weeks, NC/786-O and B7-H4/786-O stable transgenic cells were obtained and subsequent experiments were performed.
To knock down B7-H4 expression in breast cancer cell line SK-BR-3, 1×106 cells were seeded in 6-well plates 24 h prior to transfection. When the cells reached 70–80% confluence in each well, they were treated with Opti-MEM Reduced Serum Medium (Gibco, Thermo Fisher Scientific, Inc.) containing 50 nM B7-H4 small interfering (si)RNA (Genepharma Co., Ltd) and 10 µl Lipofectamine® 2000 (Invitrogen, Thermo Fisher Scientific, Inc.) for 6 h. The cell supernatant was replaced with fresh medium and cells were cultured for 48 h prior to harvesting and subsequent experiments. The B7-H4 siRNA sequences were as follows: Forward, 5′-GCUGGAGCAAUUGCACUCAUCAUUG(dTdT)-3′ and reverse, 5′-CAAUGAUGAGUGCAAUUGCUCCAGC(dTdT)-3′.
Microarray processing
For total RNA extraction, NC/786-O and B7-H4/786-O cells were harvested. Triplicate samples were prepared for each cell line. Total RNA was extracted using TRIzol reagent (Invitrogen, Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Total RNA was quantified using a NanoDrop ND-2000 spectrophotometer (NanoDrop Technologies; Thermo Fisher Scientific, Inc.) and the RNA integrity was assessed using an Agilent Bioanalyzer 2100 (Agilent Technologies, Inc.). Total RNA was transcribed into double-stranded cDNA and labeled with cyanine-3-cytidine triphosphate. The labeled cDNAs were hybridized onto Agilent Human Gene Expression microarrays (Agilent Technologies, Inc.). The arrays were scanned by the Agilent Scanner G2505C (Agilent Technologies, Inc.). The heatmap of the gene expression in the two cell lines (triplicates of each cell line) was produced by Multiexperimental Viewer software version 4.8.1 (MeV development team).
DEG analysis
Feature Extraction software version 10.7.1.1 (Agilent Technologies, Inc.) was used to analyze array images to obtain raw data. GeneSpringGX version 11.0 (Agilent Technologies) was employed for the basic analysis of the raw data, which were normalized with the quantile algorithm. Probes that had ≥10% values in any one of all conditions and had flags in ‘Detected’ were selected for further data analysis. Genes with fold-change ≥2 and P<0.05 calculated by unpaired Student's t-test between B7-H4/786-O and NC/786-O cells were identified as DEGs.
Functional enrichment analysis
To explore the functions in which DEGs were enriched in the B7-H4/786-O cell line, the identified DEGs were subjected to functional enrichment analysis with the Datasets for Annotation, Visualization and Integrated Discovery version 6.7 (david.abcc.Nicfcrf.gov). Gene Ontology (GO) (http://geneontology.org/) terms and Kyoto Encyclopedia of Genes and Genome (KEGG) pathways (https://www.kegg.jp/) with P<0.05 were screened out.
Western blot analysis
NC/786-O and B7-H4/786-O cells were harvested and lysed in RIPA buffer. RIPA cell lysis buffer (cat. no. P0013B) was purchased from Beyotime Institute of Biotechnology. Total proteins were extracted, concentrations were determined by bicinchoninic acid assay, separated using 12% SDS-PAGE (100 µg/lane), and the proteins were transferred onto PVDF membranes. Upon blocking in 5% BSA/PBS buffer at room temperature for 30 min, the membranes were blotted with the primary antibodies at 4°C overnight and subsequently washed with PBS-0.05% (v/v) Tween 20 (PBST) three times. The primary antibodies used were as follows: NME1 (1:500; cat. no. 11086-2-AP, Proteintech Group, Inc.); membrane metalloendopeptidase (MME; 1:500; cat. no 18008-1-AP; Proteintech Group, Inc.); vanin 1 (VNN1; 1:300; cat. no. 21745-1-AP; Proteintech Group, Inc.); matrix metalloproteinase 7 (MMP7; 1:300; cat. no. 10374-2-AP; Proteintech Group, Inc.); tumor necrosis factor α (TNF-α; 1:2,000; cat. no. 60291-1-Ig; Proteintech Group, Inc.); human C-X-C motif chemokine ligand (CXCL) 1/2/3 (1 µg/ml; cat. no. MAB276; R&D Systems, Inc.); CXCL8 (1:500; cat. no. 27095-1-AP; Proteintech Group, Inc.); human C-C motif chemokine ligand 20 (CCL20; 1 µg/ml); cat. no. MAB360; R&D Systems, Inc.); B7-H4 (1:500; cat. no. 12080-1-AP; Proteintech Group, Inc.); β-actin (1: 5,000; cat. no. 66009-1-Ig; Proteintech Group, Inc.) and α-tubulin (1:2,000; cat. no. 11224-1-AP; Proteintech Group, Inc.) were used. Then, the membranes were incubated with the secondary antibodies at room temperature for 1 h and subsequently washed three times with PBST. The secondary antibodies horse anti-mouse IgG (H&L)-horseradish peroxidase (HRP; 1:1,000; cat. no. 7076;) and goat anti-rabbit IgG (H&L)-HRP (1:1,000; cat. no. 7074) were purchased from Cell Signaling Technology, Inc. The membranes were immersed in ECL detection reagent and imaged with a Gel Doc™ EZ system (Bio-Rad Laboratories, Inc.). β-actin or α-tubulin were used as loading controls. The intensities of the bands were determined by Image Lab software version 4.1 (Bio-Rad Laboratories, Inc.). Three independent experiments were performed.
The Cancer Genome Atlas (TCGA) analysis
RNA-sequencing TCGA data were analysed using the Gene Expression Profiling Interactive Analysis (GEPIA) website (gepia.cancer-pku.cn/index.html), which is an interactive web server for analysing RNA-sequencing expression data from TCGA and Genotype-Tissue Expression databases (24). The correlation between B7-H4 and the expression of chemokine genes CXCL1, CXCL2, CXCL3, CXCL8 and CCL20 was evaluated by the Pearson's correlation test. P<0.05 was considered to indicate a statistically significant difference.
Immunohistochemistry (IHC)
The use of clinical samples was approved by the Soochow University Ethical Review Board, and written informed consent was obtained from the patients. A total of 59 specimens fixed with 10% formalin at room temperature for 24 h and embedded in paraffin were collected from the Second Affiliated Hospital of Soochow University were used for IHC analysis. The patients included 36 males and 23 females (mean age, 59 years; age range 39–78 years). All patients had a pathological diagnosis of renal cell carcinoma and underwent radical nephrectomy. Sections (4-µm) were deparaffinized in serial grades of xylene followed by rehydration in sequentially increasing dilutions of ethanol. Upon antigen retrieval was performed by saline sodium citrate (microwave heating for 30 min), endogenous peroxidase was blocked by 3.0% hydrogen peroxide at room temperature for 1 h. Non-specific interactions were blocked using 1.5% blocking serum (Dako, Agilent Technologies, Inc.) in PBS for 10 min at room temperature. Then the sections were incubated with primary antibodies against B7-H4 (1:100; cat. no. 12080-1-AP; Proteintech Group, Inc.); CCL20 (1:200; cat. no. 26572-1-AP; Proteintech Group, Inc.) and CXCL8 (1:200; cat. no. 27095-1-AP; Proteintech Group, Inc.) at 4°C overnight. The sections were then incubated with a HRP-conjugated goat anti-rabbit secondary antibody (1:50; cat. no. GK600705; Gene Tech Co., Ltd.) at room temperature for 1 h. Then the sections were stained by the avidin-biotin immunoperoxidase method. For negative control staining, the primary antibodies were omitted in the procedure. The sections were observed under a light microscope (CX43; Olympus Corporation) at ×400 magnification and evaluated and graded independently by two investigators. The Allred scoring system was used (25). The signal intensity was graded from 0 to 3 (0, none; 1, weak; 2, intermediate; and 3, strong), and the percentage of positive tumor cells was scored according to a scale from 1 to 5 (1, <1; 2, 1–10; 3, 10–30; 4, 30–60; and 5, >60%). An Allred score of B7-H4 <80 was designated as B7-H4low, while >80 was designated as B7-H4high.
Mouse and tumor models
Non-obese diabetic/severe combined immunodeficiency mice (age, 4 weeks; male) were purchased from Joinn Laboratories (China), Co., Ltd. Mice were kept in pathogen-free facilities under conventional conditions with controlled temperature (22±2°C) and humidity (55±10%) and 12-h dark/light cycles. The mice were allowed free access to food and water. All animal experiments were approved and conducted in compliance with institutional guidelines established by the Ethics Committee of Soochow University (Suzhou, China). Mice were subcutaneously inoculated into the left axilla with 5×106 786-O transfected cells suspended in serum-free PBS. Mice were intraperitoneally injected with isotype IgG or anti-CXCL8 antibody once every 3 days at a dose of 1 mg/kg (n=6 mice/group). Tumor growth was assessed twice a week. The orthogonal tumor dimensions were measured with a calliper. The tumor volume was calculated according to the formula V=a × b2/2, where V is the volume, a is the maximum diameter and b is the smallest diameter. When the tumor diameter reached 20 mm or tumor volume reached 1,500 mm3, the mice were preemptively euthanized by cervical dislocation and the tumor tissues were isolated and weighed. During the present study, the maximum body weight loss is in a mouse due to cachexia was 9.8%, and the longest diameter exhibited by a single subcutaneous tumor was 1.8 cm. No mice exhibited multiple tumors.
Flow cytometry
Flow cytometry analysis of tumor infiltrated neutrophils in tumor tissues was performed as described previously (26). Tumor tissues were mechanically dissected into small pieces and further digested with a mixture of Liberase™ TL (Roche Applied Science) and DNase. Cells digested from the tumor tissues were filtered through a 70-µm filter, fixed with 4% paraformaldehyde at room temperature for 15 min, and incubated in PBS containing 1% FBS (cat. no. 10099141; Gibco, Thermo Fisher Scientific, Inc.) and 3 mM EDTA at room temperature for 20 min to block non-specific binding. The cells were incubated with an anti-mouse cluster of differentiation (CD) 16/32 antibody (2.5 µg/106 cells; cat. no. MAB1460; R&D Systems, Inc.) at 4°C for 30 min. Cells were stained with fluorescein isothiocyanate-conjugated CD45 (0.25 µg/106 cells; cat. no. 147709, Biolegend, Inc.); P-phycoerythrin-conjugated CD11b (0.25 µg/106 cells; cat. no. 101207; Biolegend, Inc.) and APC-conjugated lymphocyte antigen 6 complex, locus G antibodies (0.06 µg/106 cells; cat. no. 127613; Biolegend, Inc.) at 4°C for 30 min. Flow cytometry data acquisition was performed on a BD FACSCalibur (BD Biosciences) and analysed by FlowJo version 7.6 (BD Biosciences).
Statistical analysis
All data are expressed as the mean ± SD from at least triplicate experiments. For the correlation analysis between B7-H4 and upregulated DEGs in TCGA data, the Pearson's correlation test was used. For the chemokine IHC score, the unpaired Student's t-test was used to evaluate the difference in two groups (dichotomized according B7-H4 level). For multiple groups in the mouse model, quantitative data was analysed by the one-way ANOVA. Multiple comparisons among the groups were performed using the Tukey's post hoc test. SPSS 19.0 software (IBM Corp.) was used for all statistical analysis. P<0.05 was considered to indicate a statistically significant difference.
Results
Identification of DEGs in microarray datasets and functional enrichment analysis
To identify the effects of B7-H4 overexpression on the function of renal cell carcinoma cells, the total mRNA extracted from NC/786-O and B7-H4/786-O cells was subjected to microarray analysis. The heatmap of the gene expression in the two cell lines (triplicates of each cell line) is presented in Fig. 1A. In total, 724 upregulated and 804 downregulated DEGs were obtained. The significantly enriched KEGG pathways of upregulated genes in the B7-H4/786-O cell line were analyzed. The KEGG pathways of upregulated genes with P≤0.01 are shown in Fig. 1B. The results revealed that there was a significant association with ‘rheumatoid arthritis’, ‘legionellosis’, ‘TNF signaling pathway’, ‘nucleotide-binding oligomerization domain (NOD)-like receptor signaling pathway’, ‘NF-κB signaling pathway’ and ‘chemokine signaling pathway’ (Fig. 1B). GO terms enrichment analysis for upregulated DEGs was performed. The top 20 biological processes (BPs) are presented in Fig. 1C. The results revealed that ‘inflammatory response’, ‘immune response’, ‘cell chemotaxis’ and ‘cellular response to lipopolysaccharide’ were associated with the upregulated DEGs (Fig. 1C).
Verification of upregulated DEGs by B7-H4 via western blotting
By GO BP analysis, the predominant BPs of the upregulated DEGs were ‘inflammatory response’, ‘immune response’ and ‘cell chemotaxis’, all of which are associated with the immune characteristics of tumor cells. Further analysis of GO revealed that IL33, TLR2, CXCL1 and CXCL8 were involved in these BPs. The upregulated DEGs involved in these BPs are listed in Table I. Next, the protein level of upregulated DEGs in 786-O transfectants was verified using western blot analysis. Fig. 2A revealed that the protein levels of NME1, MME, VNN1, MMP7, TNF, CXCL8, CXCL1 and CCL20 were upregulated in B7-H4/786-O cells compared with NC/786-O cells. To further confirm the effect of B7-H4 on the expression of these cytokines, the SK-BR-3 cell line was transfected with scramble small interfering (si)RNA and B7-H4 siRNA. Western blot analysis demonstrated that loss of B7-H4 in the SK-BR-3 cell line resulted in decreased MME, MMP7, CXCL8, CXCL1 and CCL20 (Fig. 2B). Both overexpression and knocking down of B7-H4 in cancer cell lines confirmed that B7-H4 expression led to upregulation of the cytokines that were identified by microarray analysis.
Table I.Upregulated differentially expressed genes involved in the inflammatory response, immune response and cell chemotaxis. |
TCGA and IHC analyses reveal the upregulation of chemokines by B7-H4 in clinical renal carcinoma
To further confirm the upregulation of cytokines by B7-H4 in cancer cell lines, the present study analyzed chemokine gene expression in clinical kidney tumors. The RNA-sequencing data of TCGA were analysed using the GEPIA website (10). As presented in Fig. 3A, B7-H4 mRNA was associated with increased CXCL1, CXCL2, CXCL3, CXCL8, MMP7 and CCL20 mRNA levels in renal papillary cell carcinoma. Although the correlations were not strong according to the R values, they were significant. These data further verified the results obtained in the cell lines. A total of 59 clinical renal carcinoma tissues were collected, and B7-H4, CXCL8 and CCL20 expression was evaluated by IHC staining. The patient characteristics are shown in Table II. B7-H4 high expression was associated with tumor grade. As shown in Fig. 3B, representative specimens with high B7-H4 expression exhibited high levels of CCL20 and CXCL8, while specimens with low B7-H4 expression exhibited low levels of CCL20 and CXCL8. There was a positive association between CCL20 and CXCL8 levels with B7-H4 (Fig. 3C). These data suggested that B7-H4 expression enhanced CCL20 and CXCL8 levels in clinical renal carcinoma.
B7-H4 promotes tumor proliferation and infiltrating neutrophils by upregulating CXCL8
Since CXCL8 promoted tumor progression by recruiting tumor-associated neutrophils (27), the present study investigated the role of CXCL8 in the tumor promotion role of B7-H4. NC/786-O and B7-H4/786-O cell lines were inoculated into mice, and isotype IgG or anti-CXCL8 antibody were administered. The tumor growth curve is shown in Fig. 4A. After 21 days, tumor tissues were isolated and the tumor weight was evaluated. Fig. 4B revealed that overexpression of B7-H4 significantly promoted tumor growth when isotype IgG was administered. However, when administering anti-CXCL8 antibody, there was no difference between NC/786-O and B7-H4/786-O, suggesting that B7-H4 promoted tumor growth through CXCL8. The fold-change in B7-H4/786-O (isotype/anti-CXCL8) decreased more significantly than in NC/786-O (Fig. 4C). The gating strategy of tumor-infiltrating CD11b+Ly6G+ neutrophils was shown in Fig. 4D. The results demonstrated that, in the isotype IgG-treated group, the ratio of infiltrating neutrophils in B7-H4/786-O was significantly higher than in NC/786-O (Fig. 4E and F), but in the anti-CXCL8-treated group, no difference in the number of infiltrated neutrophils existed between the two cell lines. This result suggested that overexpressed B7-H4 in tumors induced neutrophil recruitment through CXCL8.
Discussion
B7-H4 is an important negative co-stimulatory molecule of the B7 family (8,9,17). B7-H4 protein expression is restricted to activated T cells, B cells, DCs and macrophages (8). Additionally, it has been reported that B7-H4 is upregulated in several types of cancer (28–31), which suggests that B7-H4 has the potential to be used as a biomarker or therapeutic target for tumors (19,31–33). However, other studies revealed that B7-H4 promotes cell proliferation (34,35), invasion and metastasis of tumor cells (15,35,36), enhances leukemia-initiating cell differentiation (23), and is correlated with carcinogenesis and chemoresistance (34,37).
There are multiple mechanisms by which B7-H4 can affect tumor cell biology. Wang et al (34) reported that silencing B7-H4 enhances drug-induced apoptosis by inhibiting the phosphatase and tensin homolog (PTEN)/PI3K/AKT signaling pathway, indicating the role of B7-H4 in chemoresistance and suggesting that it may be an attractive therapeutic target in triple-negative breast cancer. Xie et al (15) demonstrated that B7-H4 induced epithelial-mesenchymal transition, and promoted invasion and metastasis of tumor cells by the activation of the ERK1/2 signaling pathway. Furthermore, upregulated B7-H4 expression was associated with downregulated Bax, upregulated Bcl-2 and activation of caspase-3 (15). Qian et al (38) analyzed the microRNA (miRNA) expression profile following B7-H4 knockdown in pancreatic cancer cell line L3.6p1 and noticed that the differentially expressed miRNAs induced by B7-H4 siRNA were mainly involved in the mitogen-activated protein kinase and PI3K/AKT signaling pathways. Chen et al (37) demonstrated that B7-H4 expression is positively correlated with IL6 expression and signal transducer and activator of transcription 3 phosphorylation. Xia et al (23) revealed that B7-H4 is one of the highly expressed immune molecules on human acute myeloid leukemia cells, and promotes the differentiation of leukemia-initiating cells through the PTEN/AKT/hypoxia-inducible factor-1α/REST corepressor 2/runt-related transcription factor 1 signaling pathway (23).
The present study constructed B7-H4 wild-type overexpressing cells to investigate the specific DEGs induced by B7-H4 wild-type in 786-O cells. The results revealed that there were 704 upregulated and 804 downregulated DEGs. The upregulated DEGs were associated with the inflammatory response, immune response and cell chemotaxis. Of the upregulated DEGs obtained by microarray, the upregulation of NME, MME, VNN1, MMP7, TNF, CXCL8, CXCL1 and CCL20 were confirmed by western blot analysis. Since all these molecules are involved in the inflammatory response, immune response and cell chemotaxis, the current study further examined the chemokine expression in clinical renal carcinoma by TCGA dataset analysis and IHC staining in 59 clinical tumor tissues. The results revealed that there was a positive correlation between B7-H4 and CCL20 or CXCL8. Furthermore, B7-H4 increased tumor-associated infiltrating neutrophils by upregulating CXCL8, indicating another mechanism in the tumor promoting effect of B7-H4. Similar the results obtained in the present study, Azuma et al (39) revealed a correlation between serum B7-H4 and neutrophil in peripheral blood from the patients with clear cell renal cancer. The present study demonstrated that B7-H4 expression increased tumor-infiltrating neutrophils by upregulating CXCL8 and that blocking CXCL8 reversed this increase. The present study revealed the molecular mechanism underlying the B7-H4-associated increase in tumor-infiltrating neutrophils, and suggested that B7-H4 and CXCL8 might serve as therapeutic targets to remodel the tumor microenvironment.
Besides CXCL8, the chemokine CCL20 is also upregulated in B7-H4-transfected cells. CCL20 is an 8-kDa protein involved in the maintenance of immunological homeostasis (40). T cells, natural killer (NK) cells, B cells and immature DCs are recruited to the tumor by the interaction of CCL20 with CCR6 (41–43). As CCL20 recruits both anti-tumor leukocytes and pro-tumor leukocytes (regulatory T cells, myeloid dendritic cells and NK cells), the role of CCL20 in tumor progression is complex (44). Tumor cells, macrophages and neutrophils produce CXCL1 and recruit myeloid-derived suppressor cells, which suppress the activity of CD8+ T effector cells to prevent tumor cell killing by CD8+ T cells (44,45). Thus, upregulated CXCL1 expression by B7-H4 expression may contribute to tumor progression (44). Of the upregulated DEGs identified in the present study, MMP7 exhibited the largest fold-change difference. MMPs are a family of enzymes responsible for the degradation of a wide spectrum of extracellular matrix and non-matrix proteins (46). During carcinogenesis, MMPs can regulate the microenvironment and contribute to several critical steps in cancer development via their involvement in cell proliferation, differentiation, apoptosis, invasion, migration and immune surveillance (46–48). Thus, upregulated MMP7 expression by B7-H4 may serve an important role in tumor progression.
In conclusion, the results of the present study revealed that in renal cell carcinoma, B7-H4 may upregulate CXCL1, CXCL8, CCL20 and MMP7 and thus recruit tumor-associated neutrophils.
Acknowledgements
The authors would like to thank Dr Chuanyang Sun (The Department of Urology, The Second Affiliated Hospital of Soochow University, Suzhou, China) for his valuable assistance in collecting clinical samples.
Funding
The present study was supported by the National Nature Science Foundation of China (grant nos. 31370872, 81402381 and 81502454).
Availability of data and materials
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
Authors' contributions
LZ designed the study wrote the manuscript. AL performed the cellular experiments. NZ performed the experiments on the clinical samples. ZZ performed the bioinformatics and statistical analyses. AL and YC performed the animal experiments. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The present study was approved and guided by the Ethics Committee of Soochow University (Suzhou, China). All patients provided written informed consent.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D and Bray F: Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 136:E359–E386. 2015. View Article : Google Scholar : PubMed/NCBI | |
Rooney MS, Shukla SA, Wu CJ, Getz G and Hacohen N: Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell. 160:48–61. 2015. View Article : Google Scholar : PubMed/NCBI | |
Santoni M, Berardi R, Amantini C, Burattini L, Santini D, Santoni G and Cascinu S: Role of natural and adaptive immunity in renal cell carcinoma response to VEGFR-TKIs and mTOR inhibitor. Int J Cancer. 134:2772–2777. 2014. View Article : Google Scholar : PubMed/NCBI | |
Motzer RJ, Hutson TE, Tomczak P, Michaelson MD, Bukowski RM, Rixe O, Oudard S, Negrier S, Szczylik C, Kim ST, et al: Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 356:115–124. 2007. View Article : Google Scholar : PubMed/NCBI | |
Motzer RJ, Escudier B, McDermott DF, George S, Hammers HJ, Srinivas S, Tykodi SS, Sosman JA, Procopio G, Plimack ER, et al: Nivolumab versus everolimus in advanced renal-cell carcinoma. N Engl J Med. 373:1803–1813. 2015. View Article : Google Scholar : PubMed/NCBI | |
Gill DM, Hahn AW, Hale P and Maughan BL: Overview of current and future first-line systemic therapy for metastatic clear cell renal cell carcinoma. Curr Treat Options Oncol. 19:62018. View Article : Google Scholar : PubMed/NCBI | |
Kawashima A, Uemura M and Nonomura N: Importance of multiparametric evaluation of immune-related T-cell markers in renal-cell carcinoma. Clin Genitourin Cancer. 17:e1147–e1152. 2019. View Article : Google Scholar : PubMed/NCBI | |
Sica GL, Choi IH, Zhu G, Tamada K, Wang SD, Tamura H, Chapoval AI, Flies DB, Bajorath J and Chen L: B7-H4, a molecule of the B7 family, negatively regulates T cell immunity. Immunity. 18:849–861. 2003. View Article : Google Scholar : PubMed/NCBI | |
Zang X, Loke P, Kim J, Murphy K, Waitz R and Allison JP: B7×: A widely expressed B7 family member that inhibits T cell activation. Proc Natl Acad Sci USA. 100:10388–10392. 2003. View Article : Google Scholar : PubMed/NCBI | |
Tang Z, Li C, Kang B, Gao G, Li C and Zhang Z: GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 45:W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI | |
Li C, Zhan Y, Ma X, Fang H and Gai X: B7-H4 facilitates proliferation and metastasis of colorectal carcinoma cell through PI3K/Akt/mTOR signaling pathway. Clin Exp Med. Oct 29–2019.doi: 10.1007/s10238-019-00590-7 (Epub ahead of print). | |
Genova C, Boccardo S, Mora M, Rijavec E, Biello F, Rossi G, Tagliamento M, Dal Bello MG, Coco S, Alama A, et al: Correlation between B7-H4 and survival of non-small-cell lung cancer patients treated with nivolumab. J Clin Med. 8(pii): E15662019. View Article : Google Scholar | |
Gruosso T, Gigoux M, Manem VSK, Bertos N, Zuo D, Perlitch I, Saleh SMI, Zhao H, Souleimanova M, Johnson RM, et al: Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers. J Clin Invest. 129:1785–1800. 2019. View Article : Google Scholar : PubMed/NCBI | |
Krambeck AE, Thompson RH, Dong H, Lohse CM, Park ES, Kuntz SM, Leibovich BC, Blute ML, Cheville JC, Kwon ED, et al: B7-H4 expression in renal cell carcinoma and tumor vasculature: Associations with cancer progression and survival. Proc Natl Acad Sci USA. 103:10391–10396. 2006. View Article : Google Scholar : PubMed/NCBI | |
Xie N, Cai JB, Zhang L, Zhang PF, Shen YH, Yang X, Lu JC, Gao DM, Kang Q, Liu LX, et al: Upregulation of B7-H4 promotes tumor progression of intrahepatic cholangiocarcinoma. Cell Death Dis. 8:32052017. View Article : Google Scholar : PubMed/NCBI | |
Zhu J, Chu BF, Yang YP, Zhang SL, Zhuang M, Lu WJ and Liu YB: B7-H4 expression is associated with cancer progression and predicts patient survival in human thyroid cancer. Asian Pac J Cancer Prev. 14:3011–3015. 2013. View Article : Google Scholar : PubMed/NCBI | |
Prasad DV, Richards S, Mai XM and Dong C: B7S1, a novel B7 family member that negatively regulates T cell activation. Immunity. 18:863–873. 2003. View Article : Google Scholar : PubMed/NCBI | |
Li J, Lee Y, Li Y, Jiang Y, Lu H, Zang W, Zhao X, Liu L, Chen Y, Tan H, et al: Co-inhibitory molecule B7 superfamily member 1 expressed by tumor-infiltrating myeloid cells induces dysfunction of Anti-tumor CD8(+) T cells. Immunity. 48:773–786.e5. 2018. View Article : Google Scholar : PubMed/NCBI | |
Chen C, Qu QX, Xie F, Zhu WD, Zhu YH and Huang JA: Analysis of B7-H4 expression in metastatic pleural adenocarcinoma and therapeutic potential of its antagonists. BMC Cancer. 17:6522017. View Article : Google Scholar : PubMed/NCBI | |
Chen C, Zhu WD, Xie F and Huang JA: Nuclear localization of B7-H4 in pulmonary adenocarcinomas presenting as a solitary pulmonary nodule. Oncotarget. 7:58563–58568. 2016. View Article : Google Scholar : PubMed/NCBI | |
Zhang L, Wu H, Lu D, Li G, Sun C, Song H, Li J, Zhai T, Huang L, Hou C, et al: The costimulatory molecule B7-H4 promote tumor progression and cell proliferation through translocating into nucleus. Oncogene. 32:5347–5358. 2013. View Article : Google Scholar : PubMed/NCBI | |
Jeon YK, Park SG, Choi IW, Lee SW, Lee SM and Choi I: Cancer cell-associated cytoplasmic B7-H4 is induced by hypoxia through hypoxia-inducible factor-1a and promotes cancer cell proliferation. Biochem Biophys Res Commun. 459:277–283. 2015. View Article : Google Scholar : PubMed/NCBI | |
Xia F, Zhang Y, Xie L, Jiang H, Zeng H, Chen C, Liu L, He X, Hao X, Fang X, et al: B7-H4 enhances the differentiation of murine leukemia-initiating cells via the PTEN/AKT/RCOR2/RUNX1 pathways. Leukemia. 31:2260–2264. 2017. View Article : Google Scholar : PubMed/NCBI | |
Tang Z, Li C, Kang B, Gao G and Zhang Z: GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 45:W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI | |
Allred DC, Clark GM, Elledge R, Fuqua SA, Brown RW, Chamness GC, Osborne CK and McGuire WL: Association of p53 protein expression with tumor cell proliferation rate and clinical outcome in node-negative breast cancer. J Natl Cancer Inst. 85:200–206. 1993. View Article : Google Scholar : PubMed/NCBI | |
Wang DH, Lee HS, Yoon D, Berry G, Wheeler TM, Sugarbaker DJ, Kheradmand F, Engleman E and Burt BM: Progression of EGFR-Mutant lung adenocarcinoma is driven by alveolar macrophages. Clin Cancer Res. 23:778–788. 2017. View Article : Google Scholar : PubMed/NCBI | |
Ogawa R, Yamamoto T, Hirai H, Hanada K, Kiyasu Y, Nishikawa G, Mizuno R, Inamoto S, Itatani Y, Sakai Y and Kawada K: Loss of SMAD4 promotes colorectal cancer progression by recruiting tumor-associated neutrophils via CXCL1/8-CXCR2 axis. Clin Cancer Res. 25:2287–2899. 2019. View Article : Google Scholar | |
Wang L, Heng X, Lu Y, Cai Z, Yi Q and Che F: Could B7-H4 serve as a target to activate anti-cancer immunity? Int Immunopharmacol. 38:97–103. 2016. View Article : Google Scholar : PubMed/NCBI | |
Bregar A, Deshpande A, Grange C, Zi T, Stall J, Hirsch H, Reeves J, Sathyanarayanan S, Growdon WB and Rueda BR: Characterization of immune regulatory molecules B7-H4 and PD-L1 in low and high grade endometrial tumors. Gynecol Oncol. 145:446–452. 2017. View Article : Google Scholar : PubMed/NCBI | |
Han S, Wang Y, Shi X, Zong L, Liu L, Zhang J, Qian Q, Jin J, Ma Y, Cui B, et al: Negative roles of B7-H3 and B7-H4 in the microenvironment of cervical cancer. Exp Cell Res. 371:222–230. 2018. View Article : Google Scholar : PubMed/NCBI | |
Huang H, Li C and Ren G: Clinical significance of the B7-H4 as a novel prognostic marker in breast cancer. Gene. 623:24–28. 2017. View Article : Google Scholar : PubMed/NCBI | |
MacGregor HL and Ohashi PS: Molecular pathways: Evaluating the potential for B7-H4 as an immunoregulatory target. Clin Cancer Res. 23:2934–2941. 2017. View Article : Google Scholar : PubMed/NCBI | |
Tan Z and Shen W: Prognostic role of B7-H4 in patients with non-small cell lung cancer: A meta-analysis. Oncotarget. 8:27137–27144. 2017. View Article : Google Scholar : PubMed/NCBI | |
Wang L, Yang C, Liu XB, Wang L and Kang FB: B7-H4 overexpression contributes to poor prognosis and drug-resistance in triple-negative breast cancer. Cancer Cell Int. 18:1002018. View Article : Google Scholar : PubMed/NCBI | |
Qian Y, Sang Y, Wang FX, Hong B, Wang Q, Zhou X, Weng T, Wu Z, Zheng M, Zhang H and Yao H: Prognostic significance of B7-H4 expression in matched primary pancreatic cancer and liver metastases. Oncotarget. 7:72242–72249. 2016. View Article : Google Scholar : PubMed/NCBI | |
Han S, Li Y, Zhang J, Liu L, Chen Q, Qian Q, Li S and Zhang Y: Roles of immune inhibitory molecule B7-H4 in cervical cancer. Oncology Rep. 37:2308–2316. 2017. View Article : Google Scholar | |
Chen X, Wang W, Man H, Li P and Shan B: Increased B7-H4 expression during esophageal squamous cell carcinogenesis is associated with IL-6/STAT3 signaling pathway activation in mice. Oncol Lett. 13:2207–2215. 2017. View Article : Google Scholar : PubMed/NCBI | |
Qian Y, Feng L, Wu W, Weng T, Hu C, Hong B, Wang FXC, Shen L, Wang Q, Jin X and Yao H: MicroRNA expression profiling of pancreatic cancer cell line L3.6p1 following B7-H4 Knockdown. Cell Physiol Biochem. 44:494–504. 2017. View Article : Google Scholar : PubMed/NCBI | |
Azuma T, Sato Y, Ohno T, Azuma M and Kume H: Serum soluble B7-H4 is a prognostic marker for patients with non-metastatic clear cell renal cell carcinoma. PLoS One. 13:e01997192018. View Article : Google Scholar : PubMed/NCBI | |
Jacquelot N, Duong CPM, Belz GT and Zitvogel L: Targeting chemokines and chemokine receptors in melanoma and other cancers. Front Immunol. 9:24802018. View Article : Google Scholar : PubMed/NCBI | |
Zhang Y, Roth TL, Gray EE, Chen H, Rodda LB, Liang Y, Ventura P, Villeda S, Crocker PR and Cyster JG: Migratory and adhesive cues controlling innate-like lymphocyte surveillance of the pathogen-exposed surface of the lymph node. Elife. 5(pii): e181562016. View Article : Google Scholar : PubMed/NCBI | |
Ramirez-Valle F, Gray EE and Cyster JG: Inflammation induces dermal Vγ4+ γδT17 memory-like cells that travel to distant skin and accelerate secondary IL-17-driven responses. Proc Natl Acad Sci USA. 112:8046–8051. 2015. View Article : Google Scholar : PubMed/NCBI | |
Hartwig T, Pantelyushin S, Croxford AL, Kulig P and Becher B: Dermal IL-17-producing γδ T cells establish long-lived memory in the skin. Eur J Immunol. 45:3022–3033. 2015. View Article : Google Scholar : PubMed/NCBI | |
Vilgelm AE and Richmond A: Chemokines modulate immune surveillance in tumorigenesis, metastasis, and response to immunotherapy. Front Immunol. 10:3332019. View Article : Google Scholar : PubMed/NCBI | |
Susek KH, Karvouni M, Alici E and Lundqvist A: The role of CXC chemokine receptors 1–4 on immune cells in the tumor microenvironment. Front Immunol. 9:21592018. View Article : Google Scholar : PubMed/NCBI | |
Young D, Das N, Anowai A and Dufour A: Matrix metalloproteases as influencers of the Cells' social media. Int J Mol Sci. 20(pii): E38472019. View Article : Google Scholar : PubMed/NCBI | |
Liao CH, Chang WS, Hu PS, Wu HC, Hsu SW, Liu YF, Liu SP, Hung HS, Bau DT and Tsai CW: The Contribution of MMP-7 promoter polymorphisms in renal cell carcinoma. In Vivo. 31:631–635. 2017. View Article : Google Scholar : PubMed/NCBI | |
Zhang Z, Dong T, Fu Y, Zhou W, Tian X, Chen G and Liu S: MMP-11 promotes papillary thyroid cell proliferation and invasion via the NF-κB pathway. J Cell Biochem. Sep 1–2018.doi: 10.1002/jcb.27500 (Epub ahead of print). |