Background
New blood vessels must be developed to nourish tumors that grow bigger than 2 mm
3 in volume, and the tumor vasculature is also a necessity for a tumor’s ability to metastasis; angiogenesis is thus a hallmark of cancer [
1,
2]. Important proangiogenic factors that are known to be involved in tumor angiogenesis include proteins of the vascular endothelial growth factor (VEGF) family, the platelet-derived growth factor (PDGF) family, the fibroblast growth factor (FGF) family, and placental growth factor (PlGF) [
1,
3]. Therefore, the blockade of proangiogenic signaling pathways has been investigated and developed as an antiangiogenic therapy aiming to starve tumor cells to death [
3‐
6].
Antiangiogenic therapies are currently in wide use against non-small cell lung cancer (NSCLC), colorectal cancer, and several other types of solid tumors [
1,
3]. The first antiangiogenic agent approved for NSCLC was bevacizumab, a monoclonal antibody to VEGF-A. The combination of bevacizumab and chemotherapeutic agents, such as carboplatin and paclitaxel, improved both progression-free survival and overall survival in advanced NSCLC patients, compared with chemotherapy alone [
4]. However, the clinical benefits from VEGF inhibitors are modest and transient, and are usually followed by the rapid emergence of drug resistance [
1,
3,
6]. As compensatory proangiogenic factors, such as PDGF and FGF, play key roles in mediating the resistance to VEGF signaling blockade therapy, multiple targeted kinase inhibitors (TKIs) could circumvent the common problem of rapid drug resistance onset because they simultaneously block several signaling pathways [
1,
3]. The development of multitargeted TKIs is expected to combat this resistance, however, there have been few convincingly studies in the clinic to date [
1,
7]. Moreover, marginal survival benefits and significant toxicities associated with TKIs have limited enthusiasm for this therapeutic approach. Therefore, a new strategy to better control tumor angiogenesis remains much anticipated.
Several recent reports suggest that immune stimulation can also restrict tumor angiogenesis. Activated T cells have been shown to decrease tumor vessel density, inhibit tumor endothelial cell proliferation, and/or arrest tumor blood flow [
8‐
12], suggesting immune stimulators might have the capability to inhibit tumor angiogenesis. Lentinan (LNT), a biologically active compound extracted from
Lentinus edodes (
L. edodes), is an immunopotentiator [
13‐
15], and exhibits multiple biological activities, including immunomodulatory, antibacterial, antivirus, antitumor effects, and anti-inflammatory [
14,
16‐
19]. Although the combination of LNT with TNP-470 (TNP), an angiogenic inhibitor, displayed antiangiogenic effects and promoted tumor cell apoptosis [
20], whether LNT affects tumor angiogenesis remains unclear. In this study, we evaluated the effects of LNT on the tumor vasculature in LAP0297 lung carcinoma and CT26 colorectal carcinoma. LNT treatments significantly reduced tumor vascular function and inhibited tumor growth. Moreover, long-term LNT treatments continuously suppressed tumor angiogenesis and exhibited antitumor effects. Mechanically, LNT inhibited tumor angiogenesis via IFNγ up-regulation, which was associated with the accumulation of tumor-infiltrating myeloid cells. Thus, this study demonstrates the potential of LNT to be served as a novel antiangiogenic agent for long-term cancer treatments.
Methods
Materials and reagents
The Lentinan (LNT, 1 mg, 16100108), a gift from Nanjing Luye pharmaceutical Co., Ltd. (Nanjing, China), is provided as powder in a penicillin bottle. LNT was dissolved in saline (0.9% NaCl) right before in vivo administration.
Tumor models
Female FVB mice (6–8 weeks old) were bred and maintained in the gnotobiotic laboratory animal center in Soochow University. Female BALB/c and nude mice (6–8 weeks old) were purchased from the Shanghai Laboratory Animal Center (Shanghai, China) and the Vital River Laboratories (Beijing, China), respectively. All of the mice were housed in the specific pathogen-free (SPF) condition. FVB and Balb/c mice were subcutaneous (s.c.) inoculated with 2 × 105 cells of LAP0297 or CT26 on the right flanks, respectively. When tumors reached 4–5 mm in diameter, mice bearing tumors were randomly divided into appropriate groups and subjected to Lentinan or saline (0.9% NaCl) treatments. In the long-term treatment experiments, mice bearing tumors were euthanized when tumor volume exceeded 1000 mm3. Tumor volume (mm3) was estimated by using the following formula: tumor volume = (long axis) × (short axis)2 × π/6.
Cell lines
The LAP0297 lung carcinoma cell line was generated by Dr. Peigen Huang at Massachusetts General Hospital (Boston, USA) [
21]. The CT26 tumor cell line was purchased from the American Type Culture Collection. Tumor cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (GIBCO) supplemented with 10% heat-inactivated fetal bovine serum (FBS) (GIBCO) and 1% penicillin and streptomycin (GIBCO) at 37 °C in a humid incubator containing 5% CO
2. Cell cultures were frequently monitored for mycoplasma contamination, and only mycoplasma-negative cells were used for experiments.
Tumor vascular function analysis
The function of tumor blood vessels was determined by analyzing the intensity of Hoechst 33342 (Sigma), as described previously [
22]. Briefly, 5 min after intravenous injection of Hoechst 33342 (10 mg/kg), mice were systemically perfused with PBS, and the tumors were removed and fixed with 4% paraformaldehyde. This procedure labeled functional vessels with fluorescence of nucleus-bound Hoechst 33342. Mosaic images of tumors were taken using an Olympus FV1000 confocal laser-scanning microscope. A 20× objective acquired 640 × 640 μm tiles, and an automated stage scanned through the entire cross section of a tumor tissue. The imaged tiles were stitched into a final mosaic image using an Olympus software. Nonspecific nuclear staining (Sytox green from Molecular Probes) was used to counter-stain the slides. In each field, the intensities of CD31 and Hoechst 33342-positive areas were calculated using an Image-Pro plus software (version 6.0).
Immunohistochemistry
Tumor tissue samples were fixed for 2–3 h in 4% paraformaldehyde, and then incubated with 30% sucrose in PBS overnight at 4 °C. The tissue samples were then embedded in optical coherence tomography (OCT) compound and stored at − 80 °C. Frozen sections (20 μm) were incubated with a primary rat anti-mouse CD31 antibody (endothelial cell marker, 1:100, Clone MEC13.3, Cat#: 550274, BD Biosciences) and a secondary Alexa Fluor 647 donkey anti-rat IgG antibody (1:200, Jackson ImmunoResearch) to stain endothelial cells. The slides were counter-stained for cell nuclei by Sytox Green (Molecular Probes). Fluorescent images were taken using an Olympus FV1000 confocal laser scanning microscopy. Four to six photographic areas, excluding the tumor periphery, were randomly taken from each tumor tissue (640 × 640 μm2 each). Mean fluorescence intensity (MFI) of CD31 positive and Hoechst 33342 stained areas were calculated using an Image-Pro plus software (version 6.0).
Tube formation assay was used to evaluate the effect of LNT on endothelial cells as descried previously with minor modifications [
23,
24]. Briefly, human umbilical vein endothelial cells (HUVECs) were cultured in DMEM medium containing 10% FBS. Growth factor reduced matrigel matrix (CORNING) was placed in a refrigerator (4 °C) overnight to thaw the matrigel. Plates (24-well) were coated with 100 μl/well of matrigel matrix and were incubated at 37 °C for 30 min to allow the gel to solidify. HUVECs (30,000 cells/well) were seeded onto the top of the gel and were treated with different concentrations of LNT for 12 h in triplicate at 37 °C with 5% CO
2. The process of tube formation was monitored every 3 h and the pictures were taken by using a Box-Type Fluorescence Imaging Device (OLYMPUS). The numbers of the tubes and branches in each well were counted.
Quantitative real-time PCR
Total RNA from tumor tissues was isolated by a MicroElute Total RNA kit (Omega), followed by cDNA synthesis with a RevertAid First Strand cDNA Synthesis Kit (Thermo Scientific). The levels of related mRNA were determined by using a high-throughput fluorescence quantitative PCR meter (LightCycler480 II) (Roche). The primers (Table
1) were specifically designed to avoid nonspecific amplification by one half hybridizing to the 3′ end of one exon and the other half hybridizing to the 5′ end of the adjacent exon. Beta-actin was used as a reference gene to calculate the differences in gene expression (fold change).
Table 1
Primers used for qPCR analysis
β-actin | Forward Reverse | ATCGTGCGTGACATCAAAGA ACAGGATTCCATACCCAAGAAG |
Cxcl9 | Forward Reverse | AGTGTGGAGTTCGAGGAACC GAGTCCGGATCTAGGCAGG |
Ifnγ | Forward Reverse | CCAAGTTTGAGGTCAACAACCC GGGACAATCTCTTCCCCACC |
Tnfα | Forward Reverse | CCGATGGGTTGTACCTTGTC CGGACTCCGCAAAGTCTAAG |
Ang1 | Forward Reverse | ATGGAAAATTATACTCAGTGGCTGC ATTTAGTACCTGGGTCTCAACATC |
Tsp1 | Forward Reverse | TGTCACTGCCAGAACTCGGTTA GGAGACCAGCCATCGTCAG |
Timp1 | Forward Reverse | GAGACACACCAGAGCAGATACC GCTGGTATAAGGTGGTCTCGT |
Flow cytometry analysis
Mice bearing tumors were intracardially perfused with PBS. Tumor tissues were isolated and single cell suspensions were prepared by using the digesting DMEM medium containing collagenase type 1A (1500 U/ml), hyaluronidase (1000 U/ml) and DNase (20 U/ml). Rat anti-mouse CD16/CD32 monoclonal antibody was added into the single-cell suspensions before other antibody staining. After staining, cells were washed with cold flow buffer (1% BSA, 0.1% NaN3 in PBS), and 7AAD reagent (eBioscience) was added (5 ul/tube) prior to running the flow analysis. For intracellular cytokine staining, 2 million cells were cultured in a 12-well plate for 4 h with Brefeldin A (10 μg/ml, eBiosciences), and then stained with the surface antibody mixture. After washed, intracellular staining was performed according to the manufacturer’s instructions of a Fixation/Permeabilization Solution Kit (BD Bioscience). Flow cytometry data were acquired on a Gallios flow cytometer (Beckman) and analyzed with a Kaluza software (version 1.3). The following fluorescence-labeled or isotype-matched anti-mouse antibodies were used: Ly-6G-FITC, CD8-FITC, CD4-PE, NK1.1-APC-Cy7, Ly-6C-PE, Gr1-APC-Cy7, IFNγ-PE-Cy7, and IFNγ-APC (BD Biosciences); F4/80-APC, CD45-BV421, and CD11b-BV510 (BioLegend).
In vivo IFNγ neutralization
When LAP0297 lung tumors reached 4–5 mm in diameter, mice bearing tumors were randomly divided into four groups, which were treated with an isotype-matched control rat IgG1 (clone HRPN, Bio-X Cell), 1 mg/kg LNT, 250 μg anti-IFNγ antibody (clone XMG1.2, Bio-X Cell), or LNT plus an anti-IFNγ antibody. LNT was administered into mice via i.p. injection every 3 days, while rat IgG1 or anti-IFNγ antibody were given every 3 days. The treatment duration was 10 days.
Enzyme-linked immunosorbent assay (ELISA)
The concentrations of angiostatic factors IFNγ, TNFα, CXCL9, Ang1, TSP1, and TIMP1 in the tumor tissue lysate were measured according to the manufacturer’s protocols by using the following mouse ELISA Kits: IFNγ (Cat#: DKW12–2000-096, Dakewe, Shanghai, China), TNFα (Cat#: DKW12–2720-096, Dakewe, Shanghai, China), CXCL9 (Cat#: 70-EK21432/2, MultiSciences, Hangzhou, China), Ang1 (Cat#: DL-angpt1-mu-96 t), TIMP1 (Cat#: DL-timp1-mu-96 t), and TSP1 (Cat#: DL-thbs1-mu-96 t) from DLDEVELOP (Wuxi, China). Although different kits have different measure protocols, the major procedure is similar. Here, we used IFNγ measurement as an example of the ELISA method. Briefly, IFNγ standards, blank control and tested samples (100 μl/well) were added into 96-well plates. Then Biotinylated antibody (50 μl/well) was added to each well and incubated at 37 °C for 90 mins. After washing away unbound Biotinylated antibody, Streptavidin-HRP (100 μl/well) was added to each well and incubated for 30 mins. After washing, TMB (100 μl/well) was added and incubated at 37 °C for 10 mins in the dark. The reaction was discontinued by the Stop solution and the optical density (OD) values were determined at the wavelength of 450 nm by a microplate reader. The concentrations of angiostatic factors were calculated using the standard curve’s regression equation derived from standard absorbance values.
Statistical analysis
Statistical analyses were performed using a Prism statistical software (version 6, GraphPad Software, Inc.). Unpaired 2-tailed Student’s t tests were used to determine the statistical differences between two groups. One-way analysis of variance (ANOVA) was used to assess the differences when more than two groups were compared. Data were presented as mean ± standard error of the mean (SEM). The results were considered as statistically significant at P < 0.05 (*). P values lower than 0.01 or 0.001 were indicated as “**” or “***”, respectively.
Discussion
Tumor initiation and progression relies on the formation of new blood vessels. Thus, the disruption of tumor blood vessels has the potential to inhibit tumor growth. However, the clinical benefits of antiangiogenic therapies are often in the order of weeks and rapidly developed drug resistance limits its long-term application [
1,
6,
29]. In this study, we found that both of T cells and IFNγ production contribute to tumor growth inhibition induced by LNT treatments, whereas IFNγ, but not T cells, is required for the LNT-mediated antiangiogenic effect. Moreover, prolonged LNT treatments persistently suppressed tumor angiogenesis and reduced tumor volume. These results suggest that LNT could be served as a new antiangiogenic agent and may be suitable for long-term intervention.
LNT is a polysaccharide from the fruit body of
L. edodes and has been used previously as a biological response modifier [
14,
15,
30]. In particular, LNT has been approved as an adjuvant for the treatment of gastric cancer and brought clinical benefits to cancer patients [
16,
31,
32]. LNT has demonstrated its antitumor effects in both primary and transplanted tumor models with negligible side effects [
17,
33,
34]. Our data further suggest that LNT treatments decrease tumor vascular function, but do not affect vascular function in normal tissues. Such difference effects could be due to the fact that LNT treatments suppress tumor angiogenesis via increasing IFNγ production, which is associated with the accumulation of IFNγ-expressing neutrophils. Normal tissues usually contain few neutrophils and will show minimal effects by LNT treatments. In addition, LNT could alleviate side toxicities of chemotherapeutic agents and potentially improve their efficacy [
26,
35]. The safety profiles of LNT as well as its ability to overcome the side effects of chemotherapy is superior to currently used traditional antiangiogenic drugs, providing new rationales for developing LNT as an antiangiogenic agent.
Blood vessel formation is tightly regulated by pro- and anti-angiogenic factors. The relentless production of pro-angiogenic factors promotes tumor vessel formation [
3,
29]. Thus antiangiogenic therapy is usually designed to suppress pro-angiogenic factors and inhibit tumor progression [
1,
3]. Currently, antiangiogenic agents are used in the treatments of various types of solid cancers, such as NSCLC and colorectal cancer [
1,
3]. Therefore, we chose LAP0297 lung carcinoma and CT26 colorectal cancer as tumor models to evaluate the effects of LNT treatments on tumor angiogenesis. Although antiangiogenic therapy improves chemotherapy in several cancer types, the clinical benefits are marginal. One of the critical reasons is the development of drug resistance. Some tumors are intrinsic resistance to antiangiogenic therapy [
3,
29]. Some tumors respond to antiangiogenic therapy at the beginning, but develop drug resistance later on [
1]. With antiangiogenic treatments being susceptible to the development of drug resistance, it is significant that we treated LAP0297 lung carcinoma with LNT for 1 month and did not observed drug resistance. Gene transcription and protein expression data showed that LNT treatments upregulated the levels of IFNγ, TNFα, CXCL9, and TIMP1. Among them, TIMP1 is an intrinsic angiostatic factor, while IFNγ, TNFα, and CXCL9 are immune effector molecules with potent angiostatic activities. Whether or not elevated endogenous angiostatic factors will be less likely to cause drug resistance is not known, but the phenomenon is very interesting and worth further investigations.
Therapeutic antitumor drugs often suppress tumor growth in a dose-dependent manner. In general, higher dosages show better antitumor effect than that of lower dosages. The optimal therapeutic dosage is usually determined by the efficacy and toxicity of the drug. Interestingly, LNT inhibited tumor growth in an inversed U-shaped dose-response manner. Appropriately lower dose of LNT (such as 1.0 mg/kg) showed better antitumor efficacy than that of higher dose (such as 5.0 mg/kg). The exact underlying mechanism of this action is unknown. It could be due to the anti-angiogenic effects of LNT treatments. Our data showed that a relatively lower dose of LNT treatments (such as 1.0 mg/kg) more potently reduced tumor vascular function than that of a relatively higher dose (such as 5.0 mg/kg). Furthermore, our study suggests that LNT treatments (1.0 mg/kg) inhibit tumor vascular function via IFNγ production and in a T cell-independent manner. In addition, LNT treatments (1.0 mg/kg) up-regulated IFNγ production in several tumor-infiltrating myeloid cell populations. It is possible that the optimal treatment dose of LNT could be different for different populations of immune cells. The optimal treatment dose of LNT on a specific population of immune cells with respect to their quantity and function could be also different. Indeed, the 1.0 mg/kg treatment of LNT, but not the 5.0 mg/kg treatment of LNT, increased tumor infiltration of neutrophils (Additional file
1: Figure S8), which is the most abundant tumor-infiltrating myeloid cell population in LAP0297 lung carcinoma (Fig.
6a). Therefore, the optimal antitumor effects of LNT treatments seem to depend on the balance of vessel modulation and immune stimulation upon LNT treatments.
Since LNT treatment inhibits tumor growth in an inversed U-shaped dose-response manner, however, the lower or higher dose of LNT is relative and could be difficult to determine. This is an even bigger challenge in the clinic because different patients and different cancer types may have different sensitivities to LNT treatments. Our previous work suggests that monitoring vascular function could be used to predict the efficacy of immune checkpoint therapy [
36]. In this study, our findings showed that a relatively lower dose of LNT treatments was more powerful than a higher dose in decreasing tumor vessel perfusion. Given that radiological methods have been developed to noninvasively measure vessel perfusion during anti-angiogenic therapy in the clinic [
37,
38], it is conceivable that vessel perfusion monitoring could be adapted to determine the optimal dosage of LNT treatment.
LNT has been applied in some kinds of cancer treatments. Its antitumor effects are usually considered to be the result of its immune stimulation. Several recent studies suggested that LNT could induce tumor cell apoptosis, showing directly antitumor effect [
30,
39]. By using lung and colorectal cancer models, we showed that LNT treatments inhibited tumor angiogenesis via increased IFNγ production in a T cell-independent manner. Taken together, LNT could affect tumor growth via multiple different mechanisms, including the modulation of immune system, the induction of tumor cell apoptosis [
13,
14,
16,
18,
30,
39], and the suppression of tumor angiogenesis.