Abstract
The tumor microenvironment, including stroma cells, signaling molecules, and the extracellular matrix, critically regulates the growth and survival of cancer cells. Dissecting the active molecules in tumor microenvironment may uncover the key factors that can impact cancer progression. Human NSCLC tumor tissue-conditioned medium (TCM) and adjacent nontumor tissue-conditioned medium (NCM) were used to treat two NSCLC cells LSC1 and LAC1, respectively. Cell growth and foci formation assays were applied to assess the effects of TCM and NCM on cancer cells. The active factors were identified by protein mass spectrometry. Cell growth and foci formation assays showed that 8 of 26 NCM and none of TCM could effectively lead to tumor cell lysis, which was known as tumoricidal activity. And then protein mass spectrometry analysis and functional verifications confirmed that complement component 9 (C9) played a crucial role in the complement-dependent cytotoxicity (CDC)-mediated tumoricidal activity in vitro. Furthermore, immunofluorescent staining revealed that C9 specifically expressed in most alveolar macrophages (AMs) in adjacent lung tissues and a small fraction of tumor-associated macrophages (TAMs) in NSCLC tissues. Most importantly, the percentage of C9-positive cells in AMs or TAMs was responsible for the tumoricidal activity of NCM and TCM. Herein, we found that high expression of C9 in TAMs was a significant independent prognostic factor (P = 0.029), and associated with beneficial overall survival (P = 0.012) and disease-free survival (P = 0.016) for patients with NSCLC. Finally, we unveiled that hypoxic tumor microenvironment could switch the phenotype of macrophages from M1 to M2 forms, accompanying with the downregulation of C9 in TAMs. Collectively, our findings elucidated a novel role of TAMs expressing C9 in the prognosis of NSCLC patients, which provided a promising strategy in the development of anticancer treatments based on the CDC-mediated tumoricidal activity.
Introduction
Lung cancer is the most common cause of cancer-related death, and generally related to smoking, air pollution, or heredity1–3. Non-small cell lung cancer (NSCLC), the major histologic form, accounts for ~80% of all cases, with a 5-year survival rate of only 10–15% for patients in advanced stage4. The interactions between tumor cells and immune cells in the tumor microenvironment play an important role in the tumor development5. A variety of soluble immune molecules, such as antibodies, cytokines, and complement components, regulate tumor cell survival and metastasis6,7.
Innate immunity prevents tumors from developing, and thus exerts a crucial protective role against cancer8. Innate immune cells, especially natural killer (NK) cells and macrophages, are attractive effectors as part of an immunotherapeutic strategy. NK cells, unlike the B and T cells of adaptive immunity, are capable of spontaneously destroying cancer cells without prior sensitization9. However, most solid tumors are heavily infiltrated with immunosuppressive M2 macrophages that promote tumor growth and metastasis and phenotype and function distinct from activated effector M1 macrophages that have a tumor-destroying role10. Many clinically effective tumor-specific mAbs induce direct tumor cell destruction involving innate immune mechanisms; some work via antibody-dependent cell-mediated cytotoxicity, while most involve innate effector cells via complement-dependent cytotoxicity (CDC)10.
The complement system, recognized as a main element of the innate immunity, is generally activated by three pathways: classical pathway, alternative pathway, and lectin pathway, participating in three overarching physiologic activities: defending against infection, bridging innate and adaptive immunity, and cleaning apoptotic cells or other waste11. Previous studies showed that complement components also played a crucial role in tumor immune surveillance via classical pathway12. Initiation of the classical complement pathway occurs when C1, the first complement component, interacts with IgG or IgM antibodies that have already attached to the antigens on the tumor cells13. After a cascade of proteolysis, activated C5b bonds to C6–9 that will form a pore in the lipid bilayer membrane of tumor cells, named as membrane attack complex (MAC), which can destroy membrane integrity and proton gradient, lead to cell lysis in a process known as CDC14,15. Hence, a mass of MAC deposited on tumor tissues was observed at many kinds of cancer, such as breast cancer16 and thyroid carcinoma17, which suggested that neoplastic transformation was a potential target of complement system18.
Complement component 9 (C9), a terminal component of the complement pathway, was generally produced by the liver and circulated in the plasma. Increased C9 level has been reported in sera samples of patients with squamous cell lung cancer19, gastric cancer20, and colon cancer21, whereas another group has detected upregulation of C9 gene expression in esophageal adenocarcinoma22. Therefore, it seems logical that C9 as a biomarker could be used to monitor carcinogenesis and cancer progression, but its precise role in tumor microenvironment is not clear.
Results
A tumoricidal microenvironment in NSCLC adjacent nontumor tissue
In order to understand the reciprocal interactions between tumor cells and soluble factors in tumor microenvironment, 26 pairs of fresh NSCLC and their corresponding adjacent nontumor tissues were collected to prepare the tumor tissue-conditioned media (TCM) and nontumor tissue-conditioned media (NCM), respectively. The NSCLC cell lines (LSC1 and LAC1) were treated with TCM and NCM, respectively (Fig. 1a). Interestingly, 8 of 26 NCM had tumor inhibitory properties in vitro, but neither TCM nor DMEM had any antitumor effects (Table 1 and Fig. 1b, c). The growth curves showed that NCM treatment effectively inhibit the growth of LSC1 and LAC1 cells compared with TCM or DMEM treatments (P < 0.001, Fig. 1b). The frequency of foci formation was reduced significantly under the NCM treatment than TCM or DMEM groups (P < 0.001, Fig. 1c).
Table 1.
ID | Gender | Age (years) | Smoking history | Histological subtype | TNM stage | Tumoricidal effect | |
---|---|---|---|---|---|---|---|
Tumor | Peritumor | ||||||
1 | M | 55 | + | SCC | IB | − | − |
2 | M | 52 | + | ADC | IIA | − | − |
3 | M | 59 | + | SCC | IIA | − | − |
4 | F | 30 | − | SCC | III | − | + |
5 | M | 69 | − | ADC | IIIA | − | − |
6 | M | 66 | + | SCC | IB | − | + |
7 | M | 63 | − | ADC | IIA | − | − |
8 | F | 51 | − | ADC | IIIA | − | − |
9 | M | 32 | + | ADC | IIIA | − | − |
10 | M | 54 | + | ADC | IIIA | − | + |
11 | M | 71 | − | ADC | III | − | − |
12 | M | 60 | + | SCC | IIA | − | + |
13 | M | 54 | + | SCC | IB | − | + |
14 | M | 71 | + | SCC | IIIA | − | − |
15 | M | 73 | + | SCC | IIIA | − | − |
16 | M | 49 | − | SCC | IIA | − | − |
17 | M | 64 | + | SCC | IB | − | − |
18 | M | 70 | − | ADC | IA | − | + |
19 | M | 54 | + | SCC | IIA | − | − |
20 | M | 56 | + | SCC | IIIA | − | − |
21 | M | 38 | − | ADC | IIIA | − | − |
22 | M | 71 | + | ADC | IB | − | + |
23 | M | 64 | + | SCC | IIIA | − | − |
24 | M | 57 | + | ADC | IIIA | − | − |
25 | F | 39 | + | SCC | IIIA | − | + |
26 | M | 69 | + | SCC | IIIB | − | − |
SCC squamous cell carcinoma, ADC adenocarcinoma
To further explore the mechanisms of the antitumor effects of NCM, we analyzed the cell cycle distributions and apoptotic index of LSC1 and LAC1 cells after 3 days of tissue-conditioned media treatments. No significant difference was found between the three treatments (DMEM, NCM, and TCM), which suggested that NCM did not induce tumor cell cycle arrest and apoptosis (Fig. 1d, e). However, propidium iodide uptake assay using fluorescence microscope indicated an increase in plasma membrane permeability and loss of plasma membrane integrity in LSC1 and LAC1 cells treated with NCM, compared with TCM and DMEM treatments (Fig. 1f). These results indicated that tumor cell lysis may be involved in this tumoricidal activity.
C9 played a crucial role in CDC-mediated tumoricidal activity
To further identify the key factors that could lead to tumor cell lysis, four NCM samples with (N3 and N4) or without (N1 and N2) tumoricidal activity were performed protein mass spectrometry analysis. For meeting the requirements of mass spectrometry, the NCM samples were concentrated by ultrafiltration (3-kDa centrifugal filters, Millipore). To confirm the tumoricidal factors deposited in the concentrates that would be analyzed, the retentates and ultrafiltrates were used to treat LSC1 and LAC1 cells again, respectively (Fig. 2a). The representative result of foci formation assay for one sample (N3, Case 10) showed that only the retentate kept the tumoricidal activity, but not the ultrafiltrate (P < 0.001, Fig. 2b). Unsurprisingly, a number of soluble factors were identified in the four NCM concentrate samples by protein mass spectrometry, respectively (Fig. 2c and Supplementary data sheet). And three proteins, complement component 9 (C9), ceruloplasmin and lumican, specifically resided in the two samples (N3, and N4) that retained the tumoricidal activity, but not other two samples (N1 and N2) with no effect (Fig. 2c).
Complement-dependent tumor cell lysis is an important way of eliminating tumor23. To confirm what we found was complement-mediated cell killing, DMEM and NCM were pretreated with 56 °C water bath for 30 min before cell culture for complete heat inactivation of the complement system24. Foci formation assay for one sample (Case 10) showed that the tumoricidal activity of NCM was lost (P < 0.001) after heat treatment, but the numbers of foci in DMEM group had no significant difference between pre- and post-heat treatments (Fig. 2d). Furthermore, it has been showed that upregulation of plasma C9 protein was associated with squamous cell lung cancer19, gastric cancer20, and breast cancer21, and our western blot analysis also confirmed that the protein levels of C9 in N3 and N4 was much higher than in N1 and N2 (Fig. 2e). This evidences suggest that C9 may be a key factor in NCM performing tumoricidal activity.
For further verification, recombinant human C9 (rhC9) protein (20 μg/ml, Merck) was supplemented into one NCM sample that had no tumoricidal activity, and the LDH, an indicator of cytotoxicity released into culture medium, was tested after 3 days of treatment. Results showed that the cytotoxicity of NCM group was significantly increased after adding rhC9 protein (P < 0.01). However, there was no significant difference between pre- and post-adding rhC9 for DMEM control (Fig. 2f). However, when supplementing human IgG- and IgM-blocking antibodies (1 μg/ml per antibody, Bioss, China) to interfere the initiation of CDC-mediated lysis, the increase of tumoricidal activity of NCM was inhibited dramatically (P < 0.01), which suggested that the level of C9 was a crucial limit for CDC-mediated tumoricidal effect in vitro (Fig. 2f).
Alveolar macrophages (AMs) produced C9
To identify the source of C9 in the tissue-conditioned medium, immunofluorescence (IF) staining of C9 was performed in 26 human adjacent nontumor tissues with (n = 8) or without (n = 18) tumoricidal activity. The results showed that C9 was expressed specifically at alveolar space (Fig. 3a). Because AMs are the major cells in human pulmonary alveoli and has innate immune defense function25, we co-stained the CD68 (a marker of macrophage) and C9 in lung tissues to investigate if AMs expressed C9. Results showed that only AMs were C9 positive (Fig. 3a). Moreover, we also performed the co-staining of C9 and CD68 in primary AMs generated from two NSCLC patients, which showed that AMs could indeed secrete C9 (Fig. 3b). In addition, nontumor tissues with tumoricidal activity contained more C9-positive cells than others without effect (P < 0.01, Fig. 3c), which further supporting our in vitro finding that C9 plays crucial role in tumor cell lysis. More AMs were contained in nontumor tissues with tumoricidal activity than others without effect (P < 0.01, Fig. 3d), revealing that the tumoricidal activity of NCM was related to the number of AMs.
High expression of C9 in TAMs associates with superior survival for NSCLC patients
Our study shows, for the first time, that AMs can secrete C9 (Fig. 3a, b), but the evidences about the expression of C9 in TAMs have not been provided. To determine whether C9 expression in NSCLC TAMs, double IF staining of C9 and CD68 was performed in cancer tissues that had been showed without tumoricidal activity. IF staining showed lower expression of C9 in TAMs (C9+/CD68+ <40%, Fig. 3e) than that in AMs (C9+/CD68+ >50%, Fig. 3a). To further investigate the role of TAMs-secreted C9 in NSCLC progression, more cancer tissues (total, n = 104) were analyzetd by IF double-staining. In all, 35/104 of cancer tissues showed relative higher expression of C9 in TAMs (C9+/CD68+ ≥10%) compared with the others (C9+/CD68+ <10%, Fig. 3e). Next, the correlations between the expression level of C9 in TAMs and the clinicopathological characteristics of NSCLC patients were also evaluated. Results showed that high expression of C9 in TAMs positively associated with tumor necrosis (P = 0.024) and was negatively correlated with lymph node metastasis (P = 0.025, Table 2), suggesting that C9 played a crucial role in NSCLC development. Moreover, Kaplan–Meier analysis also revealed that low expression of C9 in TAMs significantly associated with worse overall survival (P = 0.012, Fig. 3f) and disease-free survival (P = 0.016, Fig. 3g). And the multivariate analysis using the Cox proportional hazards model demonstrated that high expression of C9 in TAMs was an independent prognostic factor for patients with NSCLC (P = 0.029, Table 3). Summarily, these findings suggested that high-expression C9 in TAMs was a benefit for patient survival.
Table 2.
Characteristics | Number | C9 expression | Chi-squared test P value | |
---|---|---|---|---|
Low (n = 69) | High (n = 35) | |||
Gender | 1.000 | |||
Male | 90 | 60 | 30 | |
Female | 14 | 9 | 5 | |
Age (years) | 0.651 | |||
≤65 | 73 | 47 | 26 | |
>65 | 31 | 22 | 9 | |
Smoking history | 0.645 | |||
Smokers | 77 | 50 | 27 | |
Never smokers | 27 | 19 | 8 | |
Histological subtype | 0.460 | |||
SCC | 81 | 52 | 29 | |
ACC | 23 | 17 | 6 | |
Adjacent organs invasion | 0.813 | |||
Negative | 27 | 17 | 10 | |
Positive | 77 | 52 | 25 | |
Tumor size (cm) | 0.655 | |||
≤5 | 72 | 49 | 23 | |
>5 | 32 | 20 | 12 | |
Lymph node metastasis | 0.024* | |||
Negative | 49 | 27 | 22 | |
Positive | 55 | 42 | 13 | |
Necrosis | 0.025* | |||
Negative | 74 | 54 | 20 | |
Positive | 30 | 15 | 15 | |
TNM stage | 0.294 | |||
I+II | 64 | 40 | 24 | |
III+IV | 40 | 29 | 11 |
AMs tumor-associated macrophages, SCC squamous cell carcinoma, ACC adenocarcinoma
*P < 0.05, overall
Table 3.
Variable | Univariate analysis | Multivariate analysis | ||||
---|---|---|---|---|---|---|
Risk ratio | 95% CI | P | Risk ratio | 95% CI | P | |
Gender | 0.278 | 0.257–2.058 | 0.549 | |||
Male vs. female | ||||||
Age (years) | 1.029 | 0.995–1.064 | 0.090 | |||
≤65 vs. >65 | ||||||
Smoking history | 1.603 | 0.667–3.853 | 0.291 | |||
Smokers vs. never smokers | ||||||
Histological subtype | 1.338 | 0.518–3.453 | 0.547 | |||
SCC vs. ACC | ||||||
Adjacent organs invasion | 0.806 | 0.402–1.614 | 0.542 | |||
Negative vs. positive | ||||||
Tumor size (cm) | 1.017 | 0.881–1.174 | 0.821 | |||
≤5 vs. >5 | ||||||
Necrosis | 1.177 | 0.579–2.393 | 0.652 | |||
Negative vs. positive | ||||||
Lymph node metastasis | 3.311 | 1.665–6.583 | 0.001* | 1.802 | 0.684–4.746 | 0.233 |
Negative vs. positive | ||||||
TNM stage | 1.941 | 1.322–2.850 | 0.001* | 1.498 | 0.867–2.587 | 0.148 |
I+II vs. III+IV | ||||||
C9 expression of TAMs | 0.367 | 0.167–0.807 | 0.013* | 0.413 | 0.186–0916 | 0.029* |
High vs. low |
CI confidence interval, TAMs tumor-associated macrophages, SCC squamous cell carcinoma, ACC adenocarcinoma
*P < 0.05, overall
Hypoxia environment inhibited C9 expression in M2 macrophages
Both AMs and TAMs are differentiated from peripheral blood monocytes (PBMs)26,27. Next, we used monocyte-induced macrophages (MIMs) to dissect the mechanisms of the low expression of C9 in TAMs. First, PBMs were separated from healthy donators and differentiated into macrophages in the presence of the recombinant human granulocyte–macrophage colony-stimulating factor (rhGM-CSF, 500 U/ml) for 2 weeks28. IF staining showed that both PBMs and MIMs expressed C9 protein, and the characteristics of macrophage, such as vacuolization, eccentric nucleus, and microvilli formation, were observed with laser confocal microscope (Fig. 4a).
Hypoxic tumor microenvironment is a salient hallmark of solid tumor and modulates tumor development29, so we first treated MIMs at low-oxygen levels (1% O2) to test the effect of hypoxia on the expression of C9 in macrophages. It is well known that macrophages display plasticity by reversibly transitioning between M1 (with antitumor function) and M2 (with pro-tumor function) states30. Herein, hypoxia induced the macrophage forms transition may be responsible for the downregulation of C9. To confirm the hypothesis, we tested the expressions of four representative markers, TNFα and IL-12 high expressed in M1 macrophages, VEGF and IL-10 high expressed in M2 macrophages, by real-time quantification PCR, respectively (Fig. 4b). Results showed that hypoxia could induce the macrophage–phenotype transformation from M1 to M2 forms. Both western blot assay (Fig. 4c) and IF staining (Fig. 4d) indicated that the protein level of C9 was significantly decreased after 12 h hypoxia treatment, compared with normoxia culture, which accounted for the down expression of C9 in TAMs in tumor microenvironment.
In order to further assess whether the expression of C9 was related to the different cellular subsets of macrophages, paired tissue sections from 66 NSCLCs were double-stained for HLA-DR/CD68 (M1 macrophages), CD163/CD68 (M2 macrophages), HIF1α/CD68, and C9/CD68, respectively31. In adjacent nontumor tissues, AMs were high-expressed HLA-DR and C9, but not CD163 and HIF1α, which indicates that AMs, belonging to M1 form, performed innate antitumor immunity with C9 in sufficient oxygen environment (Fig. 4e). But in tumor, a lot of TAMs were CD163 and HIF1α-positive, and less expressed HLA-DR and C9 (Fig. 4e). Scatter plots of the proportions of HLA-DR+/CD68+ (M1 form), CD163+/CD68+ (M2 form) or HIF1α+/CD68+ vs. C9+/CD68+ showed that the C9 expression levels in TAMs were positive correlated with the M1 macrophage densities (P < 0.001) and negative correlated with the densities of M2 macrophage (P = 0.002) and the percentage of HIF1α-positive macrophage (P = 0.006) (Fig. 4f). This data convincingly proved that the expression of C9 in tumor microenvironment was downregulated with the switch of the subsets of macrophages from M1 to M2 forms in hypoxia environment.
Discussion
Soluble factors, an essential component of tumor microenvironment, regulate tumor development32. To study the functions of secretory factors in NSCLC, we used tissue-conditioned medium to treat lung cancer cells in vitro. During a short time of tissue culture with DMEM, a mass of soluble factors deposited in tumor microenvironment will release into tissue medium. Interestingly, we found that only a part of NCM samples, but not TCM, could dramatically inhibit tumor cell growth, compared with DMEM control. These results show two clues: generally speaking, tumor microenvironment contains many growth factors, such as EGF, FGF, and IGF33, that can promote cell proliferation, but our in vitro tissue culture experiments show no significant difference between TCM and DMEM groups; importantly, some soluble factors with tumoricidal activity deposit in adjacent nontumor tissues. Therefore, to find this tumoricidal factors in NCM, we performed protein mass spectrometry analysis. And finally, protein C9 was confirmed as a crucial limit in CDC pathway that was responsible for the tumoricidal activity of NCM.
More remarkable, although C9 was found directly from NCM, we could not rule out the possibility of blood contamination, because a few of plasma proteins were also identified in all samples, such as hemoglobin and serum albumin precursor (Supplement data sheet). And, except for C9, many other complement components were also contained in NCM, such as complement C3, C4a, C5, and complement factor B, which also confirmed our findings about CDC in vitro. However, generally, MAC contains up to 22 molecules of C934, far more than other complement components, which suggests that enough C9 is needed for MAC formation in CDC progress. Hence, we next studied the expression of C9 in adjacent nontumor tissues by IF staining, and results showed that AMs specifically expressed C9 protein and the number of C9-positive cells was associated with the tumoricidal activity. Therefore, a conclusion is drawn that resident macrophage-derived C9 can inhibit tumor progression combining with systemic complement components. In other words, local C9 is an important supplement for CDC-mediated immune surveillance in tumor microenvironment.
Furthermore, we find that TAMs also express C9, but the percentage of C9 positive in TAMs is far less than that in AMs. We next investigated the clinicopathologic correlation of C9 expression in TAMs in 104 NSCLC patients. Results showed that high expression of C9 in TAMs associated with necrosis inside of cancer tissues, suggesting that CDC might lead to a large number of tumor cells lysis. However, in general, tumor necrosis was owing to lack angiogenesis for nutrition supply or immune cell attacks, but our findings suggested that complements system could also attack tumor cells in tumor microenvironment. But the expression of C9 in TAMs is not related to the tumor size, which may be because that some tumor cells can escape the complement attack via many mechanisms. For instance, previous studies have showed that tumor cells are high expression of membrane complement regulatory proteins, such as CD46, CD55, and CD5935,36, that usually protected host cells from complement-mediated destruction, and secrete many soluble complement inhibitors, such as C1 inhibitor37, factor I38, and factor H39. Moreover, high expression of C9 in TAMs also associates with less lymphatic metastasis. TAMs often infiltrates into tumor stroma, especially around blood vessels and lymphatic vessels34,40, which may form an immune barrier for preventing metastasis. Hence, we found that high expression of C9 in TAMs could successfully distinguish a set of patients with superior survival.
We further explored the reasons of downregulation in most TAMs. It is well known that both AMs and TAMs are differentiated from PBMs27,28, but the expressions of C9 between them are significantly different despite the high expression of C9 in PBMs, which indicates that the specific tumor microenvironment may regulate the expression of C9 in TAMs. As hypoxia is a main hallmark of tumor microenvironment, we treated the MIMs in low-oxygen environment for 12 h and tested the expression of C9. Our data showed that the expression of MIMs was significantly inhibited in hypoxia treatment. Researches have showed that resident macrophages can be divided into M1- and M2-type subpopulations based on their dual functions of anti- and pro-tumor development, and hypoxia can modify macrophages from a killing capacity (M1 form) to a promoting form (M2 form)41,42. And our study also showed that the downregulation of C9 was involved in this phenotype shift of macrophages. Nevertheless, the concrete mechanisms of downregulation of C9 in TAMs in hypoxic environment were needed to further study to more clearly understand the strategy of lung cancer cells eluding CDC.
In conclusion, we first find that AMs were active participators in the suppression of cancer development via secreting C9 and other tumoricidal factors. However, in tumor microenvironment, hypoxia switched the immunophenotype of macrophages from M1 to M2 forms, which accompanying with the downregulation of C9 in TAMs, and leading to loss of tumoricidal activity. Hence, inverting macrophages forms from M2 to M1 to promote secreting C9 in tumor microenvironment may be a promising strategy for suspending the NSCLC progression.
Materials and methods
Clinical specimens and cell lines
A total of 104 paired specimens (tumor and adjacent nontumor tissues) were collected from the Sun Yat-sen University Cancer Center (Guangzhou, China) and approved by the Committees for Ethical Review of Research at Sun Yat-sen University. No patients recruited in this study received preoperative chemotherapy or radiotherapy. Human non-small cell lung cancer (NSCLC) cell lines LSC1 (also known as SCC210011) and LAC1 (also known as ADC212102) were established in our laboratory43 and cultured in DMEM-complete medium (containing 10% FBS). The cells were incubated at 37 °C in a humidified chamber containing 5% CO2.
Preparation of tissue-conditioned media
The fresh tumor and adjacent nontumor tissue specimens were collected immediately after the surgery resection, and then rinsed thrice with phosphate buffer solution (PBS). All tissues were cut into 5–10 mm3 fragments with scalpels and incubated with unsupplemented DMEM for 2 h at 37 °C in a humidified chamber containing 5% CO2. The supernatant was then collected and centrifuged at 1000 rpm for 5 min, followed by filtering using a 0.22 μm filter. Subsequently, the tissue-conditioned media was added to cell cultures at a 1:5 ratio with DMEM-complete medium. Unsupplemented DMEM was also diluted with DMEM-complete medium as a control.
Foci formation assay
Briefly, 1 × 103 cells were seeded in each well of a 6-well plate with tissue-conditioned media or control medium. After a week of culture, surviving colonies (>50 cells per colony) were counted with crystal violet (Sigma) staining. Triplicate-independent experiments were performed.
Cell proliferation assay
The Cell Counting Kit-8 (CCK-8) assay kit (Dojindo Corp. Japan) was applied to measure the cell growth rate. A suspension of 1 × 103 cells was planted in each well of a 96-well plate, in which 10 μl CCK-8 was added to 90 μl of culture medium. And after 2 h incubation at 37 °C, the absorbance was measured at 450 nm. Triplicate-independent experiments were performed.
TUNEL apoptosis assay
The apoptotic index was analyzed with the In Situ Cell Death Detection Kit (#11684817910, Roche). In brief, 1 × 104 LSC1 or LAC1 cells were planted on the slide in the 24-well plate, respectively. After 3 days of NCM, TCM, and DMEM treatments, the cells were fixed with 4% paraformaldehyde for 1 h at room temperature. The slide was rinsed three times with PBS, and incubated with blocking solution (3% H2O2 in methanol) for 10 min at room temperature. Next, tumor cells were incubated in permeabilisation buffer (0.1% Triton X-100 in 0.1% sodium citrate) for 2 min on ice. TUNEL reaction mixture was added on the slide and incubated for 1 h at 37 °C in a humidified atmosphere in the dark. Tumor cells on slide were rinsed three times with PBS and counterstained with DAPI (Life Technology). The apoptotic cells were detected with a confocal laser-scanning microscope (Olympus FV1000) in the range of 515–565 nm.
Mass spectrometry
The tissue-conditioned media were prepared for LC-MS/MS analyses as followed. Four adjacent nontumor tissue-conditioned media samples, including two with tumoricidal effects and two without effects, were concentrated using a Centricon (Amicon Ultra centrifugal filter, 3-kDa; Millipore, USA). The >3-kDa fraction remained above the filter was then digested by trypsin (Sigma) and analyzed with mass spectrometry, which was conducted as described previously44,45.
Western blot analysis
Western blot analysis was performed according to the standard protocol with antibodies against C9 (Abcam), HIF1α (Cell Signaling Technology) and β-Tubulin (Cell Signaling Technology). Signals were quantified by ImageJ software (http://rsb.info.nih.gov/ij) and defined as the ratio of target protein to total protein that stained with Coomassie Brilliant Blue (Sigma).
Immunofluorescence staining
For tissue samples, the paraffin-embedded tissue sections were deparaffinized and rehydrated. Slides were boiled in 10 mM citrate buffer (pH 6.0) for 40 min for the antigen retrieval. For cells staining, cells were fixed with 4% paraformaldehyde for 10 min at room temperature, and washed thrice with PBS. Nonspecific binding was blocked with 5% bovine serum albumin for 30 min. The slides were incubated with the primary antibodies against complement component 9 (C9, Abcam), HLA-DR (Abcam), CD163 (Abcam), HIF1α (Cell Signaling Technology), and CD68 (Abcam) at 4 °C overnight, followed by incubation with Alexa Fluor® 594 or 488-conjugated secondary antibodies (Invitrogen). For confocal microscopy, the cells on coverslips were counterstained with DAPI (Life Technology) and imaged using a confocal laser-scanning microscope (Olympus FV1000).
Cytotoxicity assay
When cell plasma membrane damaged, lactic dehydrogenase (LDH), an indicator of cytotoxicity, was released into the culture medium. The amount of LDH was measured by a LDH Cytotoxicity Assay Kit (Beyotime Biotechnology, Suzhou, China).
Preparation of macrophages
Peripheral blood monocytes (PBMs) from a healthy donor were isolated by density-gradient centrifugation using Ficoll Paque PLUS (GE Healthcare). For macrophages inducement, PBMs were treated with rhGM-CSF (500 U/ml, Amoytop Biotech, Xiamen, China) for 2 weeks in DMEM-complete medium. The morphological characteristics of monocyte-induced-macrophages (MIMs) were observed with laser confocal microscope (OLYMPUS FV1000, Japan).
Hypoxia treatment
MIMs were seeded in a culture dish (diameter 6 cm) for overnight. Replacing culture medium, and putting the dish into an incubator that brimming with 1% oxygen for culture 12 h at 37 °C. After hypoxia treatment, washing cells three times with PBS rapidly, and then extracting cell protein or total RNA. For control, same number of MIMs was cultured in a carbon dioxide incubator with normoxia.
Quantitative polymerase chain reaction (qPCR)
Total RNA was extracted using the Trizol Reagent (Roche) and reverse transcription was performed using the Reverse Transcriptase (Takara). The complementary DNA was subjected to quantitative real-time PCR using the SYBR Green PCR Kit (Roche) and the assay was performed on an ABI PRISM 7900 Sequence Detector. β-Actin was used as an internal control. The primer sequences: TNFα, 5′-TGGGATCATTGCCCTGTGAG-3′ (forward) and 5′-GGTGTCTGAAGGAGGGGGTA-3′ (reverse); IL-12, 5′-TTCGCTTTCATTTTGGGCCG-3′ (forward) and 5′-ATCAGCTTCTCGGTGACACG-3′ (reverse); VEGF, 5′-CTGTCTAATGCCCTGGAGCC-3′ (forward) and 5′-ACGCGAGTCTGTGTTTTTGC-3′ (reverse); IL-10, 5′-TGTTCTTTGGGGAGCCAACA-3′ (forward) and 5′-GGGCTCCCTGGTTTCTCTTC-3′ (reverse); β-Actin, 5′-CATGTACGTTGCTATCCAGGC-3′ (forward) and 5′-CTCCTTAATGTCACGCACGAT-3′ (reverse). The value of relative expression of target genes (2-ΔΔCt) was normalized to the endogenous β-actin reference (ΔCt).
Statistics
Statistical analyses were performed using the SPSS 18.0 (SPSS, Inc., Chicago, USA). The independent Student’s t test was used to assess the statistical significance between any two preselected groups. The two-tailed chi-squared test was applied to analyze the association of tumor-associated macrophages (TAMs) C9 expression with different clinicopathological characteristics. Univariate analysis was conducted by log-rank test and the Cox proportional hazards model was used in the multivariate analysis. Survival curves were estimated using the Kaplan–Meier plots. The Spearman’s rank correlation coefficient was calculated to assess the relationships between M1 and M2 macrophage densities, HIF1α expression, and C9 expression in TAMs. A significant difference was considered statistically when P value was <0.05.
Electronic supplementary material
Acknowledgements
The authors thank the Department of Thoracic Oncology, Sun Yat-sen University Cancer Center for providing human breast normal and tumor tissues. This work was supported by the National Natural Science Foundation of China [No. 81772554, 81672357, and 81472255].
Authors' contributions
L.L. and H.Y. carried out the experiments, analyzed the data, interpreted results and wrote the manuscript. X.D.L. and S.X.L. provided clinical samples. Y.L. and T.T.Z. provided technical support. Y.H.Z. and X.Y.G. conceived the project, designed the study, interpreted results and edited the manuscript. All authors discussed the results and commented on the manuscript.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
These authors contributed equally: Lei Li, Hong Yang
Edited by A.E. Sayan.
Electronic supplementary material
The online version of this article 10.1038/s41420-018-0064-3 contains supplementary material, which is available to authorized users.
Contributor Information
Ying-Hui Zhu, Phone: +86-020-87342283, Email: zhuyh@sysucc.org.cn.
Xin-Yuan Guan, Phone: +86-020-87343166, Email: xyguan@hku.hk.
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