Background
Advanced gastric cancer has a poor prognosis, despite the development of novel treatments, and lymph node metastasis is an important prognostic factor in cases of gastric cancer [
1,
2]. We have previously reported that lymphangiogenesis was augmented in both of the primary gastric carcinoma and the tumour-draining lymph nodes (TDLNs) [
3‐
5]. Furthermore, chronic inflammation involves immune cell infiltration, fibroblast proliferation, and angiogenesis, which are also observed in the tumor microenvironment [
6,
7]. Moreover, intratumoral infiltration of immune cells is associated tumor invasion and metastasis [
7‐
9]. Neutrophils are essential effector cells in the host’s defence against invasive pathogens, and could promote tumor progression through angiogenesis, lymphangiogenesis, and immune suppression as Tumor-associated neutrophils (TANs) [
3,
10‐
13]. Although regional lymph nodes are considered an immune barrier for cancer, the detail mechanisms of lymph node metastasis remain unclear. Nevertheless, systemic inflammatory markers, including the Neutrophil-lymphocyte ratio (NLR), are prognostic factors in several cancers [
13‐
15]. CD15, a carbohydrate adhesion molecule, is commonly used marker to identify human neutrophils and is known to mediate chemotaxis and phagocytosis. It has also been reported that some type of granulocytic myeloid-derived suppressor cells (MDSCs) which have immunosuppressive functions express CD15 [
16]. Thus, CD15 is one of the effective molecules for searching the immunological function of neutrophils in the tumor microenvironment. Therefore, the present study aimed to explore the relationships of CD15
+TANs with gastric cancer and systemic inflammation, based on the microenvironments in the primary tumor and TDLNs.
Methods
Patients and surgical specimens
We retrospectively examined surgical specimens from patients who underwent gastrectomy at our department during 2007–2008. The specimens were formalin-fixed and paraffin-embedded tissues from 120 primary tumours and 497 TDLNs, which were analysed using immunohistochemistry. For the present study, TDLNs were defined as 4–5 lymph nodes near the primary tumor. Pathological staging was performed according to the seventh edition of the International Union Against Cancer Tumour-Node-Metastasis classification. Postoperative follow-ups were performed every 3 months for the first 2 years, and then every 6 months during years 3–5.
Immunohistochemical staining
Sections with a thickness of 4 μm were obtained from the paraffin-embedded blocks. After incubation at 60 °C for 10 min, the sections were deparaffinized using xylene and rehydrated using a graded series of ethanol. The slides were subsequently washed twice for 5 min in phosphate-buffered saline (PBS). Endogenous peroxidase activity was blocked for 15 min using absolute methanol containing 3% hydrogen peroxide. After washing the sections in PBS, they were microwaved for 10 min to achieve antigen retrieval. Non-specific binding was blocked using a non-specific staining blocking reagent (Dako, Kyoto, Japan). The sections were then incubated overnight at 4 °C with mouse monoclonal antibodies (CD15 or C-X-C motif chemokine receptor 2 (CXCR2), 1:100 dilution; Abcam, Tokyo, Japan), and subsequently washed using PBS for 10 min before a 10-min incubation with a secondary antibody at room temperature. After washing the sections using PBS, they were visualized using 3-3′-diaminobenzidine for 5 min and then counter-stained using haematoxylin before mounting.
Markers of systemic inflammation
The NLR was retrospectively calculated based on routine test results from peripheral blood samples that were collected within 2 weeks before the operation. In cases with multiple blood samples, the sample from the first hospital visit was used to calculate the NLR. The median preoperative NLR value (1.932) was used as a cut-off to classify patients as having a high pre-operative NLR (≥1.932) or a low pre-operative NLR (< 1.932). The numbers of TANs were compared between the high and low preoperative NLR groups.
Flow cytometry
Whole single-cell suspensions collected from tumor, non-tumor region lymph nodes, and TDLNs were incubated with CD16b-PE antibodies (BD Pharmingen), and then analyzed by flow cytometry. Flow cytometric analyses were performed using a BD LSR II flow cytometer with FACSDiva™ software (both from Becton-Dickinson).
Neutrophils isolation and culture
Human neutrophils were isolated from healthy donors using Polymorphprep (Axis- Shield) centrifugation (purity≧85%). Cells were washed three times in complete RPMI 1640 (Sigma-Aldrich) (with 100 U/ml penicillin, 100 μg/ml streptomycin, and L-glutamine (Hyclone), and 10% fetal bovine serum (Gibco)). Then, neutrophils were incubated in complete RPMI 1640 at 37 °C and 5% CO2 for 16 h. OCUM12 were maintained in DMEM (Wako, Osaka, Japan) supplemented with 10% fetal bovine serum (FBS; Nichirei Bioscience, Tokyo, Japan) and 20% penicillin-streptomycin (Wako, Osaka, Japan). OCUM12 cell lines derived from human gastric cancer were suspended at a density of 1 × 105 per ml in RPMI1640 were incubated for 24 h. Then we stimulated neutrophils from healthy donors using 50% supernatant of OCUM12 for 24 h. We defined neutrophils stimulated with the supernatant of OCUM12 as TAN in this experiment.
Tumor-neutrophil co-culture system
We seeded 1 × 105 OCUM12 cells in 500 μl DMEM on 24-well plates, and neutrophils or TAN adjusted to 1 × 105 cells per 500 μl DMEM were co-cultured with OCUM12 using cell culture Inserts (BD, Falcon) at 37 °C and 5% CO2 for 16 h. After 16 h, OCUM12 was removed from medium, centrifuged, and washed three times by PBS. RNA was then extracted from the isolated OCUM12 cells.
RNA extraction and reverse transcription reactions
RNA easy Mini Kits (QIAGEN, Tokyo, Japan) were used according to the manufacturer’s instructions to extract total RNA. ReverTra Ace qPCR RT Master Mix (TOYOBO, Osaka, Japan) was used according to the manufacturer’s instructions to reverse transcribe the isolated RNA and generate single-strand cDNA; this reaction was performed at 37 °C for 15 min, 50 °C for 5 min, and 98 °C for 5 min.
Quantitative reverse-transcription PCR
We analyzed the expression of mRNA of interleukin 6 (IL-6) in neutrophils. We also searched the expression of TWIST in OCUM12 via qRT-PCR. TaqMan PCR core reagents were used for these assays; each reaction was recorded and analysed with the ABI PRISM 7000 Sequence Detection System. After an initial denaturation for 10 min at 95 °C, each sample was subjected to 40 cycles of PCR (95 °C for 15 s, and 60 °C for 1 min, per cycle). To analyze the ratios of gene transcription levels, glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as an internal control. The 2−ΔΔCt method was used to determine the relative expression of each target gene. All experiments were performed in triplicate, and mean values were used for further calculation.
This study’s retrospective protocol was approved by the Osaka City University ethics committee, and informed consent was obtained in writing from all patients and participants for collection and analysis of the specimens in this study.
Statistical analysis
Continuous variables were compared using Student’s t test, and categorical variables were compared used the chi-square test. Overall survival curves were calculated using the Kaplan-Meier method and differences were evaluated using the log-rank test. Prognostic factors were examined using univariate and multivariate analyses with a Cox proportional regression model. Differences were considered statistically significant at P-values of < 0.05. All statistical analyses were performed using JMP software (version 11; SAS Institute, Cary, NC, USA).
Discussion
The present study revealed that the number of TANs in the primary tumors was associated with tumor progression and an increased number of TANs in the TDLNs. Furthermore, we observed that high TAN infiltration was correlated with the pre-operative NLR, which is a marker of systemic inflammation. CXCR2+neutrophils and CD15+TANs expressed similar distribution in the primary tumors. In addition, TANs had higher expression of IL-6 than normal neutrophils, and be increased the expression of TWIST which is known as one of the EMT marker. Our findings suggest that tumor-infiltrating neutrophils might be related to metastasis of gastric cancer that is caused by inflammation.
Neutrophils are the most abundant white blood cells and reportedly contribute to tumour progression [
17‐
19]. Moreover, neutrophils release several factors that can stimulate tumorigenesis and angiogenesis, such as vascular endothelial growth factor (VEGF), Matrix metalloproteinase9 (MMP9), Myeloperoxidase (MPO), cytokines, and chemokines [
19,
20]. Neutrophils can also guide and shape the adaptive immune response, in which T-cell proliferation is regulated by their production of several cytokines and growth factors [
21]. T-cell suppression can also be mediated by extracellular arginase and reactive oxygen species, which are produced by neutrophils. Neutrophils also alter the inflammatory environment by producing L-arginine, arginase-1, and large amounts of reactive oxygen species. He et al. reported that peritumoral neutrophils up-regulate Programmed cell death ligand-1 (PDL-1) expression and suppress T-cell proliferation in hepatocellular carcinoma [
10,
11], while Wang et al. have reported that tumor-derived Granulocyte macrophage colony-stimulating factor (GM-CSF) activates neutrophils and induces neutrophil PD-L1 expression through the Janus kinase and signal transducer and activator of transcription 3 (JAK-STAT3) pathway [
11]. Other researchers have demonstrated that intratumoral neutrophils have prognostic value in cases of renal cell carcinoma, colorectal cancer, and non-small cell lung cancer [
22‐
24], and we have reported that neutrophil infiltration is associated with lymph node micrometastasis and intranodal lymphangiogenesis [
3]. In this study, we wanted to show the correlation of intratumoral neutrophils between primary tumor and TDLNs, and our results indicate that TANs in the primary tumor might spread through lymphatic vessels and become involved in cancer-related lymphangiogenesis.
Furthermore, we evaluated whether CD15
+TANs expressed CXCR2, which is a chemokine receptor that binds to C-X-C motif chemokine ligand (CXCL)1, CXCL3, CXCL5, and CXCL7. This receptor can regulate the recruitment and activation of neutrophils, and possibly mediate the inflammatory response in the tumor microenvironment [
25,
26]. Previous studies have confirmed that CXCR2
+neutrophils are mainly observed in the stroma, where they play critical roles in mediating angiogenic activity, lymph node metastasis, and tumour proliferation in colon cancer, oral squamous cell cancer, oesophageal cancer, and breast cancer [
26‐
29]. In addition, CXCR2+ neutrophils induce the migration of myeloid-derived suppressor cells into tumours [
29]. Similarly, we observed that the numbers of CXCR2
+cells and TANs were correlated in the primary tumors, which indicates that TANs might have similar properties to those of myeloid-derived suppressor cells.
Many investigators have reported that the prognosis of patients with cancer can be predicted using systemic inflammatory indexes, including the NLR, the platelet-lymphocyte ratio, and the Glasgow prognostic score [
13,
14,
30,
31]. Among these indexes, NLR is believed to best reflect the host’s immune status and the inflammatory response [
13,
32]. The present study also revealed a positive correlation between the pre-operative NLR and the number of CD15
+TANs in the primary tumor, and the average NLR value increased with tumor progression. These results suggest that excessive neutrophil infiltration into the tumor might mobilize neutrophils from the bone marrow into the peripheral blood, and that local inflammation caused by CD15
+TANs may be correlated with systemic inflammation in patients with gastric cancer.
The present study has several limitations. First, we only considered a small number of cases, and the cellular interactions between the tumor cells and CD15
+TANs were not directly observed using an experimental model. Thus, an in vitro experiment will be needed to evaluate the immune regulation that is performed by TANs. Second, we did not determine the neutrophils’ differentiation cluster(s), such as CD66b, CD16b, CD32, and MPO [
31,
33‐
36]. Third, we could not determine how CD15
+TANs cause tumor progression, induce lymph node metastasis, or spread throughout the body.