Abstract
Non-small cell lung cancer (NSCLC) is a prevalent and devastating disease that claims more lives than breast, prostate, colon, and pancreatic cancers combined. Current research suggests that standard chemotherapy regimens have been optimized to maximal efficiency. Promising new treatment strategies involve novel agents targeting molecular aberrations present in subsets of NSCLC. We evaluated 88 human NSCLC tumors of diverse histology and identified Mer and Axl as receptor tyrosine kinases (RTKs) overexpressed in 69% and 93%, respectively, of tumors relative to surrounding normal lung tissue. Mer and Axl were also frequently overexpressed and activated in NSCLC cell lines. Ligand-dependent Mer or Axl activation stimulated MAPK, AKT, and FAK signaling pathways indicating roles for these RTKs in multiple oncogenic processes. In addition, we identified a novel pro-survival pathway—involving AKT, CREB, Bcl-xL, survivin, and Bcl-2—downstream of Mer, which is differentially modulated by Axl signaling. We demonstrated that shRNA knockdown of Mer or Axl significantly reduced NSCLC colony formation and growth of subcutaneous xenografts in nude mice. Mer or Axl knockdown also improved in vitro NSCLC sensitivity to chemotherapeutic agents by promoting apoptosis. When comparing the effects of Mer and Axl knockdown, Mer inhibition exhibited more complete blockade of tumor growth while Axl knockdown more robustly improved chemosensitivity. These results indicate that Mer and Axl play complementary and overlapping roles in NSCLC and suggest that treatment strategies targeting both RTKs may be more effective than singly-targeted agents. Our findings validate Mer and Axl as potential therapeutic targets in NSCLC and provide justification for development of novel therapeutic compounds that selectively inhibit Mer and/or Axl.
Keywords: targeted therapy, receptor tyrosine kinase, MerTK, signal transduction, xenograft, chemosensitivity
Introduction
Lung cancer is the primary cause of cancer-related death worldwide. Although prostate and breast cancer are the most frequently diagnosed cancers in men and women, respectively, lung cancer kills more people than prostate, breast, colon, and pancreatic cancers combined 1. The current 5-year survival rate for all stages of non-small cell lung cancer (NSCLC) combined is 17% 2. Significant focus on targeted therapeutics has resulted in approval of new drugs for lung cancer, including inhibitors of the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK). These agents have improved outcome in approximately 10% and 5% of NSCLC cases, respectively, where EGFR mutation or ALK rearrangements are present 3, 4. Mutations in KRAS (10–20%), PI3KCA (3%), BRAF (3%), and ERBB2 (2%) have been found in additional subsets of NSCLC 5–8. Preclinical target validation studies have demonstrated the utility of inhibiting these mutant proteins and numerous agents are currently in various phases of clinical development for use in lung cancer 9–14. The remaining majority of NSCLC diagnoses represent an unmet need for identification of oncogenic drivers—and novel therapeutic targets—in these molecularly undefined cases. To address this problem, we have investigated the roles of Mer and Axl receptor tyrosine kinases (RTKs) as novel oncogenic molecules in lung cancer.
Mer and Axl are members of the TAM family of RTKs 15. TAM receptors have been implicated in the development and metastasis of many cancers, including hematologic malignancies and solid tumors of the brain and breast 16, 17. Previous studies identified Axl as a potential therapeutic target in NSCLC 18, 19, particularly in adenocarcinoma, where Axl expression correlated with advanced disease stage 20. A proteomic study ranked both Mer and Axl among the top 20 most phosphorylated RTKs in a subset of NSCLC tumors 21, but there are no other published reports investigating the role of Mer in NSCLC. This paper identifies Mer and Axl as frequently overexpressed and activated RTKs in human NSCLC, and proposes a mechanism by which Mer and/or Axl inhibitors may improve the efficacy of current NSCLC chemotherapy regimens.
Results
Mer and Axl are frequently overexpressed and activated in NSCLC
We evaluated expression of Mer and Axl RTKs in 88 NSCLC patients. Demographic and histopathologic data are presented in Table 1. Consistent with previous reports, survival was associated with stage of disease, but not histology 2, 22. Tumor cells exhibited membranous and cytoplasmic staining for Mer and Axl (Fig. 1A and Supplemental Fig. 1A). Mer expression was detected (H-Score ≥ 5) in 69% of patients (Table 1) and was generally low to moderate with a median H-Score of 15 (range: 0–213). However, intermediate (H-Score = 101–300) Mer expression was observed in 5% of patients. Axl expression was detected in 93% of patients and tended to be higher than Mer (median H-Score: 175, range: 0–375) with intermediate and high (H-Score ≥ 301) expression observed in 66% and 6% of patients, respectively. Normal lung tissue adjacent to tumors was always negative for Mer and Axl, as was bronchial epithelium (Fig. 1A and Supplemental Fig. 1A), indicating upregulated expression of both Mer and Axl specifically in cancer cells. Within the tumor microenvironment, Mer was strongly expressed in cells exhibiting macrophage morphology, while Axl expression intensity was variable. Axl, but not Mer, was strongly expressed in blood vessels (Fig. 1A and Supplemental Fig. 1A and 1B). Mer expression did not correlate with Axl expression, suggesting that these related RTKs may have different roles in the pathogenesis of NSCLC. Mer and Axl expression were not associated with overall patient survival and did not differ significantly by stage or histology (Table 1 and data not shown).
Table 1.
Characteristic | Patients N (%) | P | Survival at the 25th Percentile
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Survival at the 50th Percentile
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||
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Estimate | 95% CI | Estimate | 95% CI | |||
Age at Diagnosis | ||||||
< 62 years | 42 (48) | 0.31 | 22 | 8–31 | 65 | 29–115 |
≥62 years | 46 (52) | 10 | 5–22 | 33 | 18–60 | |
Gender | ||||||
Male | 47 (53) | 0.15 | 13 | 6–22 | 27 | 22–61 |
Female | 41 (47) | 23 | 7–41 | 71 | 31-NR | |
Stage | ||||||
I | 43 (49) | 0.01 | 23 | 10–52 | 61 | 45–115 |
II | 12 (14) | 17 | 3–71 | NR | 8-NR | |
III | 23 (26) | 8 | 2–23 | 24 | 11–36 | |
IV | 8 (9) | 6 | 3–18 | 16 | 3–82 | |
UNK | 2 (2) | |||||
Histology | ||||||
SCC | 37 (42) | 0.24 | 11 | 4–22 | 25 | 18–71 |
Adeno | 39 (44) | 18 | 8–31 | 53 | 28-NR | |
LCC | 7 (8) | 8 | 3–53 | 53 | 3-NR | |
BAC | 5 (6) | 41 | 22-NR | NR | 22-NR | |
Mer H-Score | ||||||
0–4 | 26 (30) | 0.75 | 11 | 7–23 | 25 | 12–115 |
5–100 | 56 (64) | 20 | 6–30 | 52 | 30–112 | |
101–200 | 4 (4) | 7 | 5–43 | 26 | 5–61 | |
201–300 | 1 (1) | NR | NR | NR | NR | |
301–400 | 0 (0) | |||||
UNK | 1 (1) | |||||
Axl H-Score | ||||||
0–4 | 5 (6) | 0.28 | NR | 7-NR | NR | 7-NR |
5–100 | 19 (21) | 18 | 3–28 | 29 | 18–114 | |
101–200 | 28 (32) | 23 | 5–30 | 45 | 24–82 | |
201–300 | 30 (34) | 8 | 3–31 | 61 | 16–115 | |
301–400 | 5 (6) | 6 | 4-NR | 22 | 4-NR | |
UNK | 1 (1) |
SCC, squamous cell carcinoma; Adeno, adenocarcinoma; LCC, large-cell undifferentiated carcinoma; BAC, bronchioalveolar carcinoma; UNK, unknown; NR, not reached.
Mer and Axl were also frequently overexpressed in a panel of NSCLC cell lines relative to normal human bronchial epithelial (NHBE) cells. In general, Mer and Axl protein expression patterns (Fig. 1B) were consistent with mRNA levels (Fig. 1C). Mer protein was overexpressed in 12/13 NSCLC cell lines relative to NHBE cells where Mer was undetectable. Expression of Mer mRNA was significantly higher in 9/13 NSCLC cell lines (0.03 – 2.3, P < 0.01) relative to NHBE cells (0.004). Axl protein was overexpressed in 9/13 NSCLC cell lines relative to the low level present in NHBE cells. Axl mRNA levels were higher in H1299, H157, HCC15, and H2009 cells (0.68–2.35) relative to NHBE cells (0.36). Significantly lower levels of Axl mRNA were found in the H358 (0.13, P < 0.001) and H1648 (0.03, P < 0.001) cells relative to NHBE and Axl mRNA was undetectable in Colo699 cells. Mer and Axl were highly phosphorylated under normal culture conditions in several NSCLC cell lines (Fig. 1D). Relative Mer phosphorylation (pMer/total Mer) was highest in Colo699, H1299, and A549 cells, while relative Axl phosphorylation was highest in H2009, H1299, and A549 cells. These data are consistent with a proteomic study that identified Axl and Mer as highly phosphorylated in NSCLC tumors and cell lines 21.
Mer and Axl activate multiple oncogenic signaling modules
Activation of Mer and Axl stimulates proliferative and anti-apoptotic signaling, including the PI3K/AKT and MAPK/ERK pathways 15. We utilized a phospho-kinase array to investigate whether these and/or other oncogenic signaling pathways were activated downstream of Mer in NSCLC cells. Colo699 cells were used for this experiment because they express high levels of Mer and do not express Axl (Fig. 1B), thereby eliminating complications due to Axl activation by the shared ligand Gas6 (Fig. 2A). Nine proteins (p38α, ERK1/2, GSK3α/β, MEK1/2, MSK1/2, AKT, mTOR, CREB, and FAK) exhibited increased phosphorylation following Gas6 treatment (Figs. 2B and 2C). We verified our findings in Colo699 cells as well as three additional NSCLC cell lines (A549, H2009, and HCC15) by immunoblotting (Fig. 2D). The most robust responses to Gas6 stimulation—which could be observed in all four cell lines—were phosphorylation of FAK, AKT, GSK3α/β, and ERK1/2. Gas6-induced CREB phosphorylation was most notable in H2009 cells. An additional protein, ATF1, was identified as Gas6-responsive in H2009 and Colo699 cells due to cross-reactivity of the anti-phospho-CREB antibody with phospho-ATF1. ATF1, a CREB family transcription factor, is activated downstream of MSK1/2 in response to both growth factors and cellular stress 23. The ten proteins most highly phosphorylated in response to Gas6 indicate activation of MAPK (MEK1/2, ERK 1/2, p38α, MSK1/2, CREB, and ATF1), AKT (AKT, GSK3, and mTOR), and FAK signaling modules downstream of Mer in NSCLC cells (Fig. 2E). Since Axl is expressed and activated by Gas6 in the A549, H2009, and HCC15 cell lines, we cannot rule out contributions of Axl to these signaling pathways. These data suggest roles for Mer and/or Axl in multiple oncogenic processes including cell growth, proliferation, survival, and migration.
RNAi depletion of Mer or Axl predisposes NSCLC cells to apoptosis and inhibits pro-survival signaling
To assess the functional consequences of blocking anti-apoptotic Mer and Axl signaling pathways, we utilized a short-term YO-PRO-1/PI assay. A549 cells were used for these studies because they exhibit high relative phosphorylation of both Mer and Axl under normal culture conditions (Fig. 1D). Constitutive knockdown of Axl (shAxl8, shAxl9) or Mer (shMer1, shMer4) was achieved in polyclonal A549 populations transduced with two different target-specific shRNA sequences (Fig. 3A). Clonal isolates were generated from the shAxl8, shAxl9, and shMer1 populations (shAxl8-G5, shAxl9-D3, and shMer1-G8, respectively). In general, clonal populations exhibited more robust knockdown of Mer or Axl than polyclonal populations. Under basal culture conditions, a significant fraction of shMer1 cells exhibited increased staining with YO-PRO-1 relative to shControl cells, indicating a higher rate of apoptosis (Fig. 3B). Upon serum starvation, increased YO-PRO-1 staining in shMer1 cells was accompanied by increased PI uptake, indicating an accumulation of both apoptotic and dead cells. Mer-knockdown A549 cells exhibited higher rates of basal (37%, P < 0.01) and serum withdrawal-induced (52%, P < 0.01) apoptosis relative to shControl cells (5% and 20%, respectively) (Fig. 3C). Evaluation of shAxl8 A549 cells revealed a non-significant trend towards more cell death under both basal (14%, P > 0.05) and serum-free (33%, P > 0.05) conditions relative to shControl cells. NSCLC cells are known to overexpress the pro-survival proteins Bcl-2 and Bcl-xL 24, 25, which are transcriptionally activated by the AKT/CREB signaling pathway 26 identified as downstream of Mer activation in Figure 2. Activation of these and other pro-survival signaling proteins was evaluated by western blotting of A549 whole-cell lysates following serum starvation for two hours to replicate the experimental conditions applied in Figures 3B and 3C. Relative to control A549 cells (wild type and shControl), Mer-knockdown A549 cells (shMer1-G8) exhibited a dramatic reduction in phosphorylation of AKT that correlated with reduced expression of CREB and Bcl-xL (Figure 3D). In addition, expression of survivin—an inhibitor of apoptosis recently identified as a poor prognostic factor in NSCLC 27—was reduced in Mer-knockdown cells. Modulation of this pro-survival signaling pathway was less robust and restricted to reduced expression of Bcl-xL and survivin in Axl-knockdown (shAxl8-G5) cells suggesting a possible explanation for the non-significant increase in YO-PRO and propidium iodide uptake reported in Figures 3B and 3C. Unexpectedly, expression of Bcl-2—typically considered a pro-survival factor—was absent in control A549 cells and upregulated in Mer-knockdown cells. This result suggests either pro-apoptotic function of Bcl-2 as previously described 28–31 or compensatory upregulation of Bcl-2 in response to Bcl-xL inhibition. Taken together, these findings indicate that Mer provides a survival advantage by stimulating the AKT/CREB/Bcl-xL/survivin signaling pathway in A549 cells.
Mer or Axl inhibition reduces NSCLC growth in vitro and in vivo
We hypothesized that inhibition of the anti-apoptotic signaling pathways activated downstream of Mer and Axl would reduce tumorigenic growth. Knockdown of Axl (shAxl8-G5) or Mer (shMer1-G8) significantly reduced the average number (16–17, P < 0.05) and size (344–377 μm, P < 0.001) of A549 colonies relative to shControl cells (32 colonies, 483 μm) (Fig. 4A). With the exception of shAxl8 cells, which produced smaller colonies (426 μm, P < 0.05), the polyclonal Axl- (shAxl8, shAxl9) and Mer-(shMer1, shMer4) knockdown cells did not exhibit differences in colony-forming capacity relative to the shControl population (Fig. 4A and data not shown). This effect is likely due to cell-to-cell variation in Mer and Axl expression levels in the polyclonal populations and more robust knockdown in the clonal populations. The growth-inhibitory phenotype of Mer and Axl inhibition was recapitulated by subcutaneous xenograft studies in nude mice (Fig. 4B). Axl knockdown reduced average tumor size (shAxl8-G5, 155 mm3, P = 0.0565; shAxl9-D3, 159 mm3, P = 0.1135) measured 47 days after injection when compared to shControl tumors (494 mm3). Mer-knockdown (shMer1-G8) tumors were essentially immeasurable for the entire duration of the study (27 mm3, P = 0.002 at day 47). These data support our hypothesis that inhibition of Mer or Axl is an effective anti-tumor strategy in NSCLC.
Mer or Axl knockdown enhances chemosensitivity of A549 cells by promoting apoptosis
Previous studies have suggested a role for Axl in mediating resistance to both targeted therapies 19, 32–34 and cytotoxic agents 35–37. Studies from our laboratory demonstrated that Mer confers chemoresistance in leukemia and glioblastoma 38, 39. Given our findings that Mer or Axl inhibition reduces NSCLC tumor growth, at least in part by promoting apoptosis, we hypothesized that Mer or Axl knockdown would improve the efficacy of cytotoxic agents by a similar mechanism. To test this hypothesis, control and Mer- or Axl-knockdown A549 cells were treated with cisplatin, carboplatin, doxorubicin, or etoposide, and relative cell numbers were determined by MTT assay (Fig. 5A). Mer or Axl knockdown resulted in 2-to 20-fold reductions in the half-maximal inhibitory concentrations (IC50) of cisplatin and carboplatin relative to shControl cells (Table 2). In addition, Axl inhibition significantly improved A549 sensitivity to etoposide and doxorubicin.
Table 2.
A549 Human NSCLC Cell Lines
|
||||||
---|---|---|---|---|---|---|
Wild Type | shControl | shMer1-G8 | shAxl8-G5 | shAxl9-D3 | ||
Cisplatin (μM) | IC50 | 6.48 | 8.56 | 3.00 | 0.51 | 3.40 |
(95% CI) | (4.8 – 8.8) | (6.5 – 11.2) | (2.4 – 3.7) | (0.4 – 0.7) | (2.6 – 4.5) | |
P<0.05 | NS | - | * | * | * | |
| ||||||
Carboplatin (μM) | IC50 | > 160 | > 160 | 93.4 | 9.13 | ND |
(95% CI) | ND | ND | (60.1 – 145) | (5.8 – 14.4) | ND | |
P<0.05 | ND | - | ND | ND | ND | |
| ||||||
Doxorubicin (nM) | IC50 | 34.9 | 69.2 | 71.2 | 2.1 | 13.0 |
(95% CI) | (18.0 – 67.7) | (45.5–105.4) | (31.2 – 162) | (1.0 – 4.2) | (8.6 – 19.7) | |
P<0.05 | NS | - | NS | * | * | |
| ||||||
Etoposide (μM) | IC50 | 2.20 | 3.32 | 3.84 | 0.33 | 1.01 |
(95% CI) | (1.58 – 3.05) | (2.47 – 4.46) | (2.78 – 5.30) | (0.24 – 0.46) | (0.70 – 1.46) | |
P<0.05 | NS | - | NS | * | * |
Cumulative data from at least three independent experiments performed in triplicate were analyzed.
Significance versus shControl is indicated by non-overlapping confidence intervals (95% CI). Significance could not be statistically evaluated for Carboplatin treated cells because an IC50 was not reached for wild type or shControl cells. Abbreviations are as follows: ND, Not determined; NS, Not significant.
The MTT assay measures metabolically active cells, and thus does not distinguish between the contributions of cell proliferation and cell death. We used the YO-PRO-1/PI assay to more specifically investigate whether Mer or Axl knockdown increased NSCLC cell death in response to treatment with cytotoxic agents. Axl-knockdown cells demonstrated a dose-dependent increase in apoptosis (39%–59%, P < 0.01) relative to shControl cells (24%–30%) following treatment with doxorubicin (Fig. 5B). A similar trend was observed when Axl-knockdown cells were treated with carboplatin. Consistent with the data in Figure 3, Mer-knockdown cells exhibited higher rates of basal apoptosis (36%, P < 0.05) than shControl cells (19%). In response to carboplatin, shMer1-G8 cells exhibited significantly more apoptotic cell death (53%, P < 0.01) than shControl cells (27%–31%). A similar trend was observed for doxorubicin-treated shMer1-G8 cells. Compared to shControl cells, both shMer1-G8 and shAxl8-G5 cells exhibited increased PARP cleavage in response to carboplatin and doxorubicin, confirming apoptotic pathway activation at the biochemical level (Fig. 5C). These data indicate that Mer and Axl inhibition increases NSCLC sensitivity to cytotoxic agents by promoting apoptosis and suggest additional mechanisms for Mer and Axl inhibitors.
Discussion
While tyrosine kinase inhibitors selective for mutated enzymes have highlighted the utility of targeted therapeutics in oncology, mechanisms apart from activating mutations—such as gene copy number variation, amplification, posttranscriptional regulation by miRNA, and autocrine or paracrine activation of overexpressed oncogenes—cause an oncogene to “drive” tumor development. Activating mutations in Mer and Axl have not been described. Evidence supporting alternative genetic mechanisms of TAM receptor-mediated oncogenesis is reviewed elsewhere 16. This paper identifies Mer and Axl as RTKs that are frequently overexpressed in human NSCLC cells lines and tumors relative to surrounding normal lung tissue. Gas6, a ligand for Mer and Axl, is also frequently expressed by NSCLC cells and is found in plasma, suggesting that these RTKs are continuously activated in NSCLC via autocrine and/or paracrine mechanisms 40, 41. This is the first report to describe a role for Mer in NSCLC and extends the findings of previous reports that have indicated a role for Axl in NSCLC. These results justify further investigation of Mer and Axl inhibitors as potential therapeutic agents in NSCLC.
Mer inhibition was an effective anti-tumor strategy in A549 cells despite relatively low expression of Mer suggesting that total Mer or Axl levels may not be the optimal means to identify patients who might benefit from Mer- and/or Axl-targeted agents. A more likely predictive biomarker might be relative phosphorylation levels of Mer and Axl, which were high in A549 cells. Although Mer phosphorylation can be difficult to detect and often requires application of pervanadate to stabilize the signal, we are currently investigating the utility of various assay platforms—including traditional immunohistochemistry as well as new ELISA-based methods—to reliably measure Mer phosphorylation in xenograft and clinical samples. The new ELISA-based technology provides considerably improved sensitivity relative to traditional western blotting and may permit assessment of Mer phosphorylation in clinical samples without pervanadate treatment. Alternatively, a specific tumor gene expression profile might be considered. In addition, Gas6, soluble Axl, and soluble Mer have been measured in human serum and may have prognostic value in autoimmune disease and cancer 42–45. Preclinical investigation of translational Mer and Axl inhibitors is necessary before the predictive value of these and other biomarkers can be assessed in the clinic.
Contrary to our findings, Axl positivity was previously identified as a poor prognostic factor in lung adenocarcinoma 20. In that report, tumors were defined as Axl-positive if more than 25% of the cells were stained by Axl immunohistochemistry; however, staining intensity was not evaluated. Our analysis differs in that the H-Score represents the percentage of positive cells and staining intensity. Both parameters are informative when assessing protein expression within tumor tissues. In this study, the majority of NSCLC tumors exhibited overexpression of Mer (69%) and/or Axl (93%) relative to surrounding normal lung tissue where expression of both receptors was completely absent. Similar patterns were observed in vitro with overexpression of Mer and Axl protein in 92% and 69%, respectively, of NSCLC cell lines relative to NHBE cells. Analysis of receptor phosphorylation patterns revealed that when present, both Mer and Axl tend to be phosphorylated under normal culture conditions (Axl in 5/5 cell lines and Mer in 6/7 cell lines). This effect could be related to the presence of Gas6 or another TAM receptor ligand in the serum added to culture media. Receptor phosphorylation was detected in some cells lines (Mer in Colo699 and Axl in A549, H2009, and HCC15) even after removal of serum from the culture medium, suggesting that these cells may express Gas6 or another TAM ligand. Future studies should evaluate the phosphorylation status of Mer and Axl in NSCLC tumor tissues to investigate whether activation of the two receptors frequently occurs together, and whether these particular phenotypes have prognostic or predictive value.
Previous studies have delineated MAPK/p38/ERK and PI3K/AKT signaling pathways activated downstream of Mer and Axl, and roles for these RTKs in cell survival and proliferation are well established 15, 38, 39, 46–49. This is the first report to document activation of these Mer and Axl signaling pathways in lung cancer cells. This is also the first paper to extend the TAM receptor-activated MAPK pathway to include the downstream effectors MSK1/2, CREB, and ATF1. A recent study identified a CREB-binding motif in the Axl promoter region of leukemia cells 50, suggesting that constitutive activation of the MAPK and/or AKT pathways downstream of Mer and Axl may drive overexpression of Axl, at least in some cancer cell types. Phosphorylation of GSK3α/β has been previously described in response to Gas6 but expression of the TAM family receptors was not fully characterized and thus the upstream receptor involved was not determined 51–53. Differentiation of signaling pathways downstream of individual TAM receptors is complicated by the fact that most cell lines express more than one family member. In addition, antibodies that reliably detect the third family member, Tyro3, were not available until recently. Although the Mer-positive Colo699 cell line does not express Axl at the protein or mRNA level, these cells—as well as several other NSCLC cell lines—express Tyro3 (Supplementary Fig. 3). We used the Mer- and Axl-knockdown A549 cell lines to explore differences in pro-survival signaling mechanisms downstream of Mer and Axl. Our results suggest that Mer inhibition induces apoptosis by attenuating pro-survival signaling mechanisms mediated by AKT, CREB, Bcl-xL, and survivin. Axl inhibition exhibited less robust modulation of this pathway as demonstrated by reduced Bcl-xL and survivin expression without inhibition of AKT or CREB. A minimal threshold of Axl expression may be required for inhibition of this pro-survival pathway as Bcl-xL and survivin expression was not altered in shControl cells although they exhibited a smaller, but measureable, reduction in Axl expression relative to Axl-knockdown cells in these experiments. Expression of Bcl-2 was absent in control and Axl-knockdown A549 cells but upregulated in Mer-knockdown cells. Although Bcl-2 most commonly exhibits pro-survival function, a growing body of evidence demonstrates that this protein is also capable of inducing apoptosis 28, 30, 54, particularly when expressed at high levels or bound to an orphan nuclear receptor 29, 31. These findings highlight specific differences in pro-survival signaling mechanisms activated downstream of Mer and Axl in the A549 cell line and may contribute to the different functional outcomes observed in Mer-knockdown and Axl-knockdown cells. Development of novel biologic or small molecule inhibitors that selectively inhibit a single TAM receptor will be useful tools for elucidation of additional signaling pathways that are unique to individual TAM receptors. The data presented here expand our understanding of TAM receptor function at the biochemical level and reveal novel pathway interactions that may be useful as surrogate markers for Mer and Axl inhibition in lung cancer cells.
Axl has been shown to mediate migration and invasion of glioblastoma, lung cancer, and breast cancer cells 18, 20, 55, 56. The Axl-stimulated signaling pathways that mediate this phenotype may include upregulation of matrix metalloproteinases and transition of solid tumor cells from an epithelial to mesenchymal morphology 17, 57, 58. Axl/Gas6 signaling via Rho family GTPases regulates actin dynamics and migration of specialized neurons 47, 59, but these pathways have not been investigated downstream of Axl in cancer cells. However, Mer was recently shown to regulate migration of glioblastoma cells via altered FAK and Rho signaling 60. This novel finding is consistent with previous reports that established roles for FAK and Rho GTPases in Mer-mediated morphological changes required for phagocytic engulfment of apoptotic cells 49, 61, 62. Thus, additional studies investigating the role of Mer in NSCLC migration are warranted.
Our data clearly demonstrate that Mer inhibition has profound functional consequences in lung cancer cells. Mer-knockdown cells exhibited higher rates of apoptosis, and tumor growth was significantly reduced in colony formation assays. More impressively, this effect was recapitulated in mice: growth of xenograft tumors was completely blocked by Mer knockdown. This study is the first to demonstrate a role for Mer in NSCLC and validate Mer as a novel therapeutic target in NSCLC.
As mentioned above, previous studies identified Axl as a therapeutic target in NSCLC 18–20. Our results support and expand these findings by demonstrating that Axl knockdown inhibits NSCLC growth in vitro and in vivo, and suggests that Axl inhibition may enhance the antitumor effects of chemotherapeutic agents by promoting apoptosis. Interestingly, Mer knockdown was a more effective inhibitor of tumor growth than Axl knockdown, suggesting that Mer plays a more substantial role than Axl in NSCLC tumor progression. Although Mer knockdown improved chemosensitivity, this phenotype was limited to the platinum agents and the IC50 reductions were smaller in magnitude compared to those observed with Axl knockdown. Upon treatment with cytotoxic agents, Mer-knockdown and Axl-knockdown cells exhibited similar levels of apoptotic cell death and PARP cleavage suggesting that the differences in IC50 values observed in the MTT assay may be due to Axl inhibition of another cellular mechanism such as cell proliferation. Taken together, these data suggest that Mer may play a more prominent role in cell survival and tumor progression while Axl may be more involved in cell proliferation and chemoresistance. Strategies targeting both Mer and Axl may therefore work by multiple mechanisms and be most effective.
Regardless of whether Mer and Axl play individual or concerted roles in NSCLC, these data conclusively demonstrate that clinically translatable compounds inhibiting Mer and/or Axl merit further investigation as potential therapeutics in NSCLC. We are currently investigating an inhibitory anti-Mer monoclonal antibody and a series of novel Mer- and Axl-selective small molecule tyrosine kinase inhibitors in mouse models of NSCLC. A number of other drugs with activity against Mer and/or Axl are in various phases of development (reviewed in ref. 17).
Materials and Methods
Clinical samples and immunohistochemistry
De-identified clinical specimens of primary tumors were assembled into a tissue microarray (TMA) by the University of Colorado Cancer Center (UCCC) SPORE in lung cancer tissue bank core 22. The study protocol was approved by the Colorado Multiple Institution Review Board. The TMA contains samples from patients diagnosed with NSCLC at the UCCC and the Johns Hopkins Medical Institution between 1993 and 1999. Only samples from patients diagnosed at the UCCC were included in this study because clinical follow-up information was updated in 2008. To assess expression of Mer and Axl proteins in the clinical samples, we used an enzyme-based staining method whereby binding of horseradish peroxidase-conjugated antibodies is visualized by oxidation of a reporter dye (3, 3′ diaminobenzidene, DAB). Details are provided in the Supplementary Information.
All specimens were scored independently by two board-certified pathologists (D.T.M. and P.J.). An H-Score was calculated for each specimen by multiplying the percentage of positive tumor cells (0% to 100%) by the dominant staining intensity (scale 0 to 4). Thus, the possible range of H-Scores was 0 to 400. When the reliability of a single reader’s scores was evaluated, the intraclass correlation coefficients 63 for Axl and Mer were moderately high (0.74 and 0.65, respectively), indicating that the agreement between the two pathologists was good. The correlation coefficients measuring reliability of using the mean ratings were relatively high (0.85 for Axl and 0.79 for Mer) indicating excellent agreement between raters. Based on these two results we used the average scores of the two pathologists.
Cell culture and reagents
NHBE cells (also known as HBEC-3KT 64) were cultured in bronchial epithelial cell growth medium (Lonza, CC-3170). The NSCLC cell lines were cultured in RPMI medium supplemented with 10% fetal bovine serum, penicillin (100 U/ml) and streptomycin (100 μg/ml). Cell line sources and authentication details are provided in the Supplemental Information. Recombinant human (rhGas6, 885-GS) and mouse (rmGas6, 986-GS) growth arrest specific 6 (Gas6) were purchased from R&D Systems and reconstituted in PBS. Carboplatin (C2538), cisplatin (P4394), and doxorubicin (D1515) were from Sigma. Etoposide (341205) was obtained from Calbiochem.
Animals and subcutaneous xenograft model
All experiments involving mice were approved by the University of Colorado Institutional Animal Care and Use Committee. Subconfluent cultures of A549 cells were washed with sterile PBS and resuspended at 2 × 107 cells/ml in PBS. Male and female athymic nude mice (aged 5–9 weeks) received 100 μl of cell suspension via subcutaneous injection in the left or right flank. Engraftment typically occurred 18–21 days after injection. Beginning on day 19, tumors were measured twice weekly with calipers and tumor volume (V) was calculated using the formula V = πa2b/6, where a represents the shortest diameter measured perpendicular to the longest diameter (b).
Western blotting and phospho-kinase array
Whole-cell lysates were prepared in lysis buffer (50 mM HEPES pH 7.5, 150 mM NaCl, 10 mM EDTA, 10% glycerol, 1% Triton X-100, 1 mM Na3VO4, 0.1 mM Na2MoO4) supplemented with protease inhibitors (Complete Mini, Roche Molecular Biochemicals). Total protein concentrations were determined using the Bio-Rad Protein Assay and samples were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and immunoblotting. The protein-kinase array (R&D Systems, ARY003) was performed according to manufacturer guidelines. All antibodies used for immunoblotting were applied as recommended by the manufacturer. Vendor catalog numbers are provided in the Supplementary Information.
Immunoprecipitation and detection of phosphorylated Mer and Axl
Phosphorylation of Mer is difficult to measure, possibly due to phosphatases in complex with Mer that result in extreme lability of Mer phosphorylation. We developed a phospho-Mer assay whereby cells are treated with pervanadate (0.12 mM Na3VO4 in 0.002% H2O2) for 1–2 minutes prior to cell lysis to preserve the phosphorylation status of Mer. Because pervanadate treatment precludes assessment of downstream signaling events (data not shown) this procedure was strictly limited to analysis of Mer and Axl phosphorylation. Mer was immunoprecipitated from pervanadate-treated lysates by incubating with mouse monoclonal anti-Mer antibody (R&D Systems, MAB8912) followed by incubation with rec-Protein G-sepharose 4B (Invitrogen, 10–1242) bead slurry. Immune complexes were collected by centrifugation and washed with lysis buffer. Beads were resuspended in Laemmli buffer (62.5 mM Tri-HCl pH 6.8, 25% glycerol, 5% β-mercaptoethanol, 2% SDS, and 0.01% bromophenol blue) and boiled prior to analysis by western blotting. Axl was immunoprecipitated from the same samples by incubating the supernatant of Mer immunoprecipitates with goat polyclonal anti-Axl (R&D Systems, AF154) and subsequently following the same protocol.
Quantitative Reverse Transcription PCR
Diluted RNA (50 ng/reaction or 5 ng/reaction) was used as a template for real time RT-PCR in the presence of primer pairs homologous to Mer or Axl and GAPDH, respectively. Primer and probe sequences and concentrations are provided in the Supplementary Information. Threshold cycle values (Ct) from at least three independent experiments performed in triplicate were normalized to the GAPDH internal control using the equation Δ Ct = Ct Mer or Axl − Ct GAPDH. Standard curves were generated with multiple cell lines, which demonstrated >99% efficiency of all three primer/probe sets. Thus, a two-fold difference in RNA concentration per cycle was assumed for calculation of relative expression levels.
Lentiviral transduction and isolation of clonal populations
Lentiviral vectors (pLKO.1) containing shRNA sequences targeting Mer (shMer1, Oligo ID: TRCN0000000862 and shMer4, Oligo ID: TRCN0000000865), Axl (shAxl8, Oligo ID: TRCN0000000574 and shAxl9, Oligo ID: TRCN0000000575), or GFP (RHS4459) were obtained from Open Biosystems. The GFP vector, which does not express the fluorescent protein, encodes an shRNA that engages the endogenous RNAi machinery and targets GFP mRNA; since human cells do not express GFP, this vector serves as a non-silencing control and is referred to as “shControl” throughout the text. Lentiviral particles were produced using the 293FT cell line and the third generation packaging system developed by the laboratory of Dr. Didier Trono. Target cells were incubated in media containing viral particles and 8 μg/ml hexadimethrine bromide (Sigma-Aldrich) for 1 hour at room temperature. Cells were then cultured overnight and incubation with viral media was repeated the following day to increase transduction efficiency. Cells were cultured overnight prior to selection in media containing 2 μg/ml puromycin (Clontech). Puromycin resistant colonies were typically observed 5–9 days after transduction. Polyclonal populations were maintained in puromycin to prevent loss of knockdown. Stable clonal isolates were obtained by single-cell flow cytometry sorting and maintained in normal culture media.
Clonogenic colony formation assay
A549 cells were plated in triplicate wells of 6-well dishes at ultra-low density (50 cells/well) and cultured under normal conditions without perturbation for seven days. Colonies were washed with PBS and stained with crystal violet (0.5% w/v in 25% methanol). Stained plates were rinsed in dH2O and allowed to dry at room temperature. Colony diameter and number was quantified using a GelCount colony counter and software (v1.4, Oxford Optronix). Only colonies containing > 50 cells were analyzed 65.
YO-PRO-1/propidium iodide assay of apoptosis and cell death
Subconfluent cultures of A549 cells were treated as indicated in the figure legends. Cells were lifted with 0.02% EDTA in PBS, combined with culture supernatants, and centrifuged for 5 minutes at 950g. Cell pellets were resuspended in PBS containing 0.2 μM YO-PRO-1 (Invitrogen, Y3603) and 1.5 μM propidium iodide (PI) (Invitrogen, P3566). Uptake of YO-PRO-1 and PI was measured using a FC500 flow cytometer and CXP analysis software (Beckman Coulter). Cells undergoing apoptosis are stained with YO-PRO-1 but are impermeable to PI. Dead cells and cells in late apoptosis are permeable to both dyes. Viable cells are not stained by either dye.
Colorimetric assay of relative cell number
A549 cells were seeded into 96-well plates at a density of 2.5 × 104 cells/cm2. Cells were allowed to adhere overnight before addition of cytotoxic agents or vehicle for an additional 48 hours. MTT (3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide, Sigma-Aldrich) was added and cells were cultured for an additional four hours. Solubilization solution (2X, 10% sodium dodecyl sulfate in 0.01 M HCl) was added and plates were incubated at 37°C overnight. Optical density was determined at 562 nm with a reference wavelength of 650 nm. Relative cell numbers were calculated by subtraction of background absorbance and normalization to untreated controls.
Statistical Analysis
All data are representative of three independent experiments unless otherwise noted. Statistical analyses of immunohistochemistry data were performed by the University of Colorado Biostatistics and Bioinformatics Core using SAS/BASE and SAS/STAT software, Version 9.2 of the SAS System for Windows (SAS Institute Inc.). Descriptive statistics were calculated. Continuous variables were categorized: age at diagnosis was dichotomized at its median 62-years; Mer H-Score and Axl H-Score were categorized according to convention 22. For clinical characteristics (age at diagnosis, histology, and sex), statistical significance between different levels of each characteristic was assessed by log-rank test. On stage, categorical Axl H-Score, and categorical Mer H-Score, statistical significance between different levels of each factor was assessed by log-rank test for trend as these variables are considered ordinal. Statistical analyses of all other data were performed using Prism 5 (Version 5.04, GraphPad Software, Inc.).
Supplementary Material
Acknowledgments
Financial Support: This work was supported in part by grants from Uniting Against Lung Cancer: Elliot’s Legacy (RMAL), the Lung Cancer Research Foundation (RMAL), the American Cancer Society (RSG-08-291-01-LIB, DKG), and the National Institutes of Health (RO1CA137078, DKG). RMA Linger received a Career Development Award from the University of Colorado Cancer Center SPORE in Lung Cancer (NIH 5P50CA058187). DK Graham is the Damon Runyon-Novartis Clinical Investigator supported (in part) by the Damon Runyon Cancer Research Foundation (CI-39-07).
This work was supported in part by grants from Uniting Against Lung Cancer: Elliot’s Legacy (RMAL), the Lung Cancer Research Foundation (RMAL), the American Cancer Society (RSG-08-291-01-LIB, DKG), and the National Institutes of Health (RO1CA137078, DKG). RMA Linger received a Career Development Award from the University of Colorado Cancer Center SPORE in Lung Cancer (NIH 5P50CA058187). DK Graham is the Damon Runyon-Novartis Clinical Investigator supported (in part) by the Damon Runyon Cancer Research Foundation (CI-39-07). The authors wish to thank Karen Helm, Christine Childs, and Lester Acosta in the University of Colorado Cancer Center Flow Cytometry Core for their expert technical assistance, Randall Wong in the University of Colorado Denver Diabetes & Endocrinology Research Center Molecular Biology Core Facility (NIH P30 DK57516) for cell line authentication services, Patricia Lenhart for help optimizing Mer and Axl immunohistochemistry of human tissues, and Storey Wilson and Andrea Abeyta for technical assistance with the Aperio imaging system used to digitize stained tumor microarray slides.
Footnotes
Conflict of Interest Statement
The authors declare no conflicts of interest.
Supplementary Information is available at Oncogene’s website.
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