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. Author manuscript; available in PMC: 2012 Oct 1.
Published in final edited form as: Cancer Discov. 2012 Mar 31;2(4):344–355. doi: 10.1158/2159-8290.CD-11-0280

Metformin accelerates the growth of BRAFV600E-driven melanoma by upregulating VEGF-A

Matthew J Martin 1, Robert Hayward 1, Amaya Viros 1, Richard Marais 1,1
PMCID: PMC3364710  EMSID: UKMS41031  PMID: 22576211

Abstract

The anti-diabetic drug metformin has anti-tumor activity in a variety of cancers because it blocks cell growth by inhibiting TORC1. Here we show that melanoma cells that are driven by oncogenic BRAF are resistant to the growth-inhibitory effects of metformin because RSK sustains TORC1 activity even when AMPK is activated. We further show that AMPK targets the dual-specificity protein phosphatase DUSP6 for degradation and this increases ERK activity, which then upregulates the VEGF-A protein. Critically, this drives angiogenesis and accelerates the growth of BRAF-driven tumors in mice. Unexpectedly however, when VEGF signaling is inhibited, instead of accelerating tumor growth, metformin inhibits tumor growth. Thus, we show that BRAF-driven melanoma cells are resistant to the anti-growth effects of AMPK and that AMPK mediates cell autonomous and cell non-autonomous effects that accelerate the growth of these cells in vivo.

Keywords: BRAFV600E, melanoma, metformin, AMPK, VEGF

INTRODUCTION

The RAS/RAF/MEK/ERK pathway is a conserved signaling module that plays an important role in malignant melanoma (1) because NRAS and BRAF are mutated in ~20% and ~50% in cases respectively (2). Mutant NRAS and BRAF stimulate constitutive activation of this pathway to drive cell proliferation and survival, and hence tumor progression. The most common mutation in BRAF is a glutamic acid for valine substitution at position 600 (BRAFE600) and drugs such as vemurafenib that inhibit BRAF increase progression free survival of patients whose melanomas express this mutant (3, 4). These impressive clinical responses represent a breakthrough in melanoma treatment and validate BRAF as a therapeutic target. However, about 20% of patients possess primary resistance and do not respond to BRAF inhibitors, and most patients who do respond develop resistance rather rapidly (3, 4), highlighting the need for improved and second-line strategies for BRAF mutant melanoma patients.

The AMP-activated protein kinase (AMPK) controls energy homeostasis in cells. AMPK is a heterotrimeric protein complex consisting of α- (kinase), β-(structural) and γ- (AMP binding) subunits. When cells enter metabolic stress, AMP levels increase and AMPK is activated. It then shuts down energy consuming processes such as fatty acid and protein synthesis by phosphorylating and inhibiting the activity of enzymes such as acetyl-coA carboxylase (ACC) and the TORC1 complex respectively (5). AMPK activation requires phosphorylation of threonine 172 (T172) on the α-subunit, an event that can be performed by the tumor suppressor LKB1 and the Ca2+ activated protein kinase CAMKKII (6).

Critically, AMPK is activated by metformin, a mitochondrial respiration poison that is used to treat type 2 diabetes (7, 8). Notably, metformin also mediates a ~30% reduction in lifetime risk of cancer in diabetic patients, data that implicate AMPK in cancer (9, 10). Support for this comes from the observation that metformin inhibits prostate and breast cancer cell growth in vitro (11, 12), delays tobacco carcinogen-induced lung cancer onset in mice (13) and metformin, its analogue phenformin, and the allosteric AMPK activator A-769662 (5, 14) all delay spontaneous tumor development in Pten+/− mice (15).

These data show that AMPK possesses anti-cancer activity in some cancers, but its role in melanoma is unclear because although it is reported that AMPK cannot be activated in BRAF mutant melanoma cells (16, 17), AICAR and metformin are also reported to inhibit the growth of these cells in vitro (18). We therefore investigated AMPK function in BRAF mutant melanoma cells. We found that AMPK was activated by metformin in BRAF mutant melanoma cells, but this did not block their growth. We therefore investigated how BRAF mutant cells escape the anti-growth effects of metformin and the consequences of this to their growth in vivo.

RESULTS

AMPK activation does not inhibit the growth of BRAF mutant melanoma cells

We initiated this study by investigating the effects of metformin and another AMPK activator, AICAR (5-aminoimidazole-4-carboxamide riboside) (5, 14) in BRAF and NRAS mutant melanoma cells (see Supplemental Table 1 for cells used). On standard tissue culture plastic metformin and AICAR only modestly affected the growth of these cells (Supplemental Fig 1A), but when the cells were grown in soft agar, whereas NRAS mutant cell growth was inhibited by metformin and AICAR by 68-100%, BRAF mutant cell growth was insensitive to these agents (Fig 1A, Supplemental Fig 1B, 1C). Thus, NRAS mutant melanoma cells were sensitive to the anti-growth effects of metformin and AICAR, whereas BRAF mutant cells were resistant.

Figure 1. BRAF-mutant melanoma cells are resistant to the anti-growth effects of metformin and AICAR in vitro.

Figure 1

A. Colony formation for D04, MM-415, MM-485, WM-1366, WM-852, A375, MDA-MB-435, Mel-HO, SK-Mel28 and WM-266.4 cells in soft-agar in the presence of metformin (Met; 2mM) and AICAR (1mM). Colony numbers are represented relative to DMSO treated controls (%). Error bars: SD from the mean (n=3).

B-D. Western blot for phospho-AMPKα (pAMPKα), phospho-ACC (pACC) and total AMPKα (loading control) in SK-Mel28 (B), A375 (C) and D04 cells (D) treated with AICAR (1mM) for the times indicated in hours (hrs).

To test if this difference arose because AMPK was not activated in the BRAF mutant cells, we western blotted cell extracts for AMPKα phosphorylation on T172 and ACC phosphorylation on S79. AICAR induced slow phosphorylation of AMPKα and ACC in BRAF mutant SK-Mel28 and A375 cells, with no increase apparent for the first two hours, but robust phosphorylation at 6 hours and beyond (Fig 1B, 1C). AICAR also activated AMPK in NRAS mutant D04 cells, with clear increases in AMPKα and ACC phosphorylation apparent within an hour of AICAR treatment (Fig 1D). We also show that metformin and glucose starvation activated AMPKα in A375 cells (Supplemental Figs 1D, 1E), and phosphorylation of ACC is increased in response to 12 hour metformin and AICAR treatment in 5 additional BRAF-mutant melanoma lines (Supplemental Fig 1F). Thus, AMPK was activated in BRAF mutant melanoma cells, albeit it with slow kinetics, but it did not inhibit their growth.

RSK mediates BRAF mutant melanoma cell resistance to AMPK

To investigate why BRAF mutant cells are resistant to AMPK, we examined TORC1 signaling because this pathway is a key AMPK target in cells (19). We show that 4E-BP1 and rpS6 phosphorylation (see Supplemental Fig 2A) was suppressed in metformin-treated NRAS mutant (D-04, MM-415 and WM-1366), but not BRAF mutant (A375, Mel-HO and SK-Mel 28) cells (Fig 2A). Thus TORC1 signaling was insensitive to AMPK in BRAF mutant cells. TORC1 can be activated by two pathways (5). In the canonical pathway downstream of RAS, phosphatidylinositide 3-kinase (PI3-K) activates Akt, which inhibits TSC1/2, allowing Rheb to activate TORC1 (see Supplemental Fig 2A). In the non-canonical pathway downstream of RAF, ERK activates the protein kinase RSK, which then inhibits TSC1/2 and directly activates TORC1 (Supplemental Fig 2A) and accordingly, both BRAF and MEK inhibitors block RSK phoshporylation in A375 cells (Supplemental Fig 2B).

Figure 2. Constitutive RSK activity confers resistance to metformin in BRAF mutant melanoma cell lines.

Figure 2

A. Western blot for phospho-4E-BP1 (p4E-BP1), phospho-rpS6 (pS6[S240/4]) and tubulin (loading control) in A375, Mel-HO, SK-Mel28, D04, MM415 and WM1366 cells in the absence (-) or presence of metformin (M; 2 mM).

B. Western blot for phospho-RSK (pRSK), total RSK1 and tubulin (loading control) in the A375, MDA-MB-435, Mel-HO, SK-Mel28, WM266.4, D04, MM415, Sbcl2, WM1361 and WM1366 cells.

C. Western blot for phospho-RSK (pRSK) and tubulin (loading control) in A375 cells treated with metformin (Met; 2 mM) for the times indicated in hours.

D. Western blot for phospho-AMPKα (AMPKα), AMPKα (loading control), phospho-4E-BP1 (p4EBP1) and phospho-S6 (pS6[235/6]; pS6[240/4]) in A375 cells treated with DMSO, metformin (Met; 2 mM) and BI-D1870 (BI-D; 3 μM) as indicated.

E. Colony formation for A375, SK-Mel28 and WM-266.4 cells grown in soft-agar in the presence of metformin (Met.; 2mM) and BI-D1870 (3 μM). Colony numbers are represented relative to vehicle treated controls (%). Error bars: SD from the mean (n=3).

F. Colony formation for A375 cells grown in soft-agar and treated with siRNA to RSK1 (siRSK1) or RSK2 (siRSK2) in the presence of water (Ctrl) or metformin (Met; 2mM). Colony numbers are represented relative to mock-transfected water treated controls (column 1; %). Error bars: SD from the mean (n=3. The western blot shows expression of RSK1, RSK2 and tubulin (loading control) in representative samples.

G. Western blot for RSK1, phospho-RSK (pRSK), phospho-rpS6 (pS6[235/6]) and ERK2 (loading control) in D04 cells expressing pCDNA vector or myristoylated RSK1 (myr-RSK1).

H. Colony formation for D04 cells grown in soft agar and expressing pCDNA vector or myristoylated RSK1 (myr-RSK1) in the presence of metformin (Met; 2mM) or AICAR (0.5mM). Results are relative to the number (%) of colonies formed in control (water) treated wells. Error bars: SD from the mean (n=3).

We measured RSK activity by western blotting for phosphorylation of S380/S386 on RSK1/RSK2. We show that RSK activity was generally higher in BRAF mutant than NRAS mutant cells (Fig 2B) and that metformin and AICAR activated RSK in A375 cells (Fig 2C and Supplemental Fig 2C). Critically, metformin did not block 4E-BP1 or rpS6 phosphorylation in A375 cells, whereas the RSK inhibitor BI-D1870 suppressed phosphorylation of both (Fig 2D). Note also that metformin and BI-D1870 cooperated both to inhibit rpS6 phosphorylation and to activate AMPK in A375 cells (Fig 2D). Critically, whereas neither metformin nor BI-D1870 inhibited the growth of A375, SK-Mel28 or WM-266.4 cells, together they strongly inhibited the growth of these cells (Fig 2E).

We observed similar results with RNA interference (RNAi). Thus, whereas downregulation of RSK1 and RSK2 did not affect the growth of A375 cells, it did make these cells more sensitive to the growth inhibitory effects of metformin (Fig 2F). Note, loss of either protein alone did not sensitize A375 cells metformin (Fig 2F), demonstrating that these proteins are functionally redundant. Finally, constitutively active myristoylated RSK1 (myr-RSK); (20) increased RSK and rpS6 phosphorylation in NRAS mutant D04 cells (Fig 2G) and caused them to become resistant to the growth inhibitory effects of metformin and AICAR (Fig 2H). We conclude that RSK mediates BRAF mutant melanoma cell resistance to metformin.

Metformin accelerates the growth of BRAF tumors and induces expression of VEGF-A

Next BRAF mutant cells were grown as tumor xenografts in metformin-treated nude mice. Metformin did not affect the weight of the mice (Supplemental Fig 3A) or increase their blood lactate levels (Supplemental Fig 3B), demonstrating that it was well tolerated. Surprisingly, metformin increased the size of A375 (BRAF mutant) xenografts by 3.2 fold at 50 days (Fig 3A; p<0.0001) and Mel-HO (BRAF mutant) xenografts by 2.3 fold (Fig 3B; p<0.034), but decreased D04 (NRAS mutant) xenografts size by 42% (Supplemental Fig 3C; p< 0.0033). Thus, despite having little effect on BRAF mutant cell growth in vitro, metformin accelerated their growth in vivo.

Figure 3. Metformin induces VEGF secretion, increased blood vessel density and enhanced tumor growth in BRAF-mutant melanoma xenografts.

Figure 3

A. The growth of A375 cells as tumor xenografts in nude mice treated with metformin (Met) or water (Ctrl) is shown. Error bars represent standard error (n=8).

B. The growth of Mel-HO cells as tumor xenografts in nude mice treated with metformin (Met) or water (Ctrl) is shown. Error bars represent standard error (n=5).

C. The number of endoglin/CD105 positive vessels in 5 randomly selected high powered fields from sections of A375 xenografts from mice treated with water (Ctrl.; n=6) or metformin (Met.; n=9) is shown. Bar: mean; error bars: SD.

D. Representative images of tumor xenograft sections of control and metformin-treated tumors immunostained for endoglin/CD105 (brown). Bar = 50 μm.

E. VEGF-A protein levels in A375 xenografts from water (Ctrl; n=14) and Metformin (Met; n=17) treated mice. Error bars: SD from the mean.

F. VEGF-A protein levels in conditioned media from A375, Mel-HO and SK-Mel28 cells treated with DMSO, metformin (Met; 2mM), phenformin (Phen; 0.25mM), AICAR (1mM) or A-769662 (30μM). Error bars: SD from the mean.

Histological examination of the tumors revealed a dramatic increase in the size and number of CD31 positive vessels in A375 xenografts from metformin-treated mice (Fig 3C and Supplemental Fig 3D) and we confirmed that these structures were blood vessels by staining for endoglin/CD105 (Fig 3D). We used a human specific antibody to show that metformin increased VEGF-A protein production by A375 melanoma cells in vivo (Fig 3E) and that metformin, phenformin, AICAR and A-769662 all increased VEGF-A protein production in BRAF mutant, but not NRAS mutant melanoma cells (Fig 3F and Supplemental Fig 3E).

Metformin cooperates with anti-VEGF therapies to suppress the growth of BRAFV600E mutant tumors

To investigate the importance of VEGF-A to BRAF mutant tumors responses to metformin in vivo, nude mice bearing A375 xenografts were treated with the VEGF receptor inhibitor axitinib. Metformin accelerated the growth of the tumors (2.2 fold increase in tumor size at day 50) whereas axitinib had no effect (Fig 4A). When these agents were combined they suppressed A375 tumor growth by 45% (Fig 4A). Note that no such cooperation was seen in vitro (Fig 4B) and axitinib and metformin did not cooperate to inhibit the growth of NRAS mutant cells either in vitro or in vivo (Supplemental Fig 4A, 4B).

Figure 4. Metformin and VEGF-A pathway inhibition induce synthetic lethality in BRAF-mutant melanoma cells in vivo.

Figure 4

A. The growth of A375 cells as tumor xenografts in nude mice treated with water (Ctrl), metformin (Met; 300 mg/kg/day) and/or axitinib (Ax; 10 mg/kg/day) is shown. Error bars represent standard error from the mean (n=8).

B. The growth of A375 cells in vitro in the presence of metformin (Met; 2mM) and/or axitinib (doses in nM as indicated) is shown. Cell growth determined by SRB assay (n=5) is expressed relative to DMSO treated controls (fold) with error bars to represent SD from the mean.

C. The growth of A375 cells as tumor xenografts in nude mice treated with water (Ctrl), metformin (Met; 300 mg/kg/day) and/or bevacizumab (Bev; 1 mg/kg biweekly) is shown. Error bars represent standard error from the mean (n=8).

D. VEGF-A protein levels in conditioned media from MDA-MB-435 cells stably expressing control (NS) or two VEGF-A (shV.1, shV.3) shRNA probes and treated with water (Ctrl), metformin (Met; 2mM) or AICAR (1mM).

E. The growth of MDA-MB-435 cells expressing control (NS) or VEGF-A (shV.1 or shV.3) shRNA in soft-agar in the absence (Ctrl) of presence of metformin (Met; 2mM) is shown (n=3). Colony numbers are represented relative to control (NS) expressing water treated controls (column 1; %). Error bars: SD from the mean.

F. The growth of MDA-MB435 cells expressing control (NS) or VEGF-A (shV.3) shRNA as xenografts in nude mice treated with metformin (Met) or water (Ctrl) is shown. Error bars represent standard error from the mean (n=6).

These effects on A375 xenografts we reproduced using the VEGF neutralizing antibody bevacizumab. Metformin increased A375 tumor growth by 2.0 fold and bevacizumab reduced their growth by 34%, but together they reduced tumor growth by 64% (Fig 4C). Finally, these observations were also reproduced using short-hairpin RNA (shRNA). MDA-MB-435 cells were engineered to express two independent VEGF-A shRNA probes. These constructs blocked metformin and AICAR-induced VEGF-A protein production by MDA-MB-435 cells (Fig 4D), but did not affect their growth in vitro (Fig 4E). Critically, whereas metformin accelerated the growth of MDA-MB-435 tumors expressing control shRNA, it induced regression in tumors expressing VEGF-A shRNA (Fig 4F).

Taken together, these data show that VEGF-A drives the accelerated growth of BRAF mutant melanoma in metformin-treated mice, but when VEGF-A signaling was inhibited, metformin unexpectedly switched from a growth promoter to a growth inhibitor.

AMPK increases VEGF-A protein production in BRAF mutant cells

Next we investigated how metformin upregulated VEGF-A in BRAF mutant cells. We show that the AMPK inhibitor compound C blunted VEGF-A upregulation by AICAR in A375 cells (Fig 5A) and that AMPKα1 depletion by RNAi blocked VEGF-A upregulation in metformin and AICAR-treated A375, Mel-HO and MDA-MB-435 cells (Fig 5B and Supplemental Fig 5A/B). AMPKα2 depletion did not affect VEGF-A protein production in A375 cells (Supplemental Fig 5C).

Figure 5. AMPK induces VEGF-A production by upregulating ERK signaling.

Figure 5

A. VEGF-A protein levels in conditioned media from A375 cells treated for 24h with vehicle (DMSO), AICAR (1mM), Compound C (Cpd C; 5 μM) or both drugs. Results normalized to DMSO control. Error bars: SD from the mean.

B. VEGF-A protein levels in conditioned media from A375 cells treated with non-specific control (N.S), or two AMPKα1 siRNA probes (si-1; si-2) for 72h and treated with water (Ctrl), metformin (Met; 2mM) or AICAR (1mM) for the last 24h. The western blot below shows AMPKα1 and ERK2 (loading control) from the same cells lysed immediately after collection of conditioned media. C = control; M = metformin; A = AICAR.

C. Western blot for phospho-AMPKα1 (pAMPKα1), LKB1 and tubulin (loading control) in A375 and SK-Mel5 cells. The A375 cells were untreated (-) or starved for glucose (-G) to provide a control for AMPKα1 phosphorylation. The SK-Mel5 cells were treated with AICAR (1mM), A23187 (1 μM) or STO-609 (10 μM) as shown.

D. VEGF-A protein levels in conditioned media from SK-Mel5 cells treated with DMSO, AICAR (1mM), A23187 (1 μM) and STO-609 (10μM) as indicated. Error bars: SD from the mean.

E. VEGF-A mRNA levels in A375 cells after treatment with AICAR (1mM) or PD184352 (PD; 1μM) for 6h. Results are presented relative to vehicle treated controls. Error bars: SD from the mean.

F. VEGF-A protein levels in conditioned media from A375 cells treated with DMSO, PD184352 (PD; 1μM), PLX4720 (PLX; 500 nM), 885-A (100 nM) and with water (Ctrl) or AICAR as indicated. VEGF-A levels are presented relative to water and DMSO treated controls. Error bars: SD from the mean.

G. VEGF-A protein levels in conditioned media from A375 cells transfected with scrambled control (Scr) or two different BRAF specific siRNAs (siB.1, siB.2), and treated with metformin (M; 2mM) or AICAR (A; 1mM). The western blots show BRAF, phospho-ACC (pACC), phospho-ERK (pERK) and ERK2 (loading control).

H. Western blot for phospho-ERK (pERK), ERK2, phospho-MEK (pMEK) and tubulin (loading control) in A375 cells treated with AICAR (1mM) for the times indicated in hours (h).

Next, we examined VEGF-A upregulation in SK-Mel5 melanoma cells because although these cells express BRAFV600E, they lack LKB1 and so cannot activate AMPK when treated with AICAR (21, 22). We confirmed that LKB1 was not expressed in SK-Mel5 cells and that AICAR did not activate AMPK in them (Fig 5C). Critically, AICAR did not upregulate VEGF-A in SK-Mel5 cells (Fig 5C). As an important control, we show that the calcium ionophore A23187 activated AMPKα and upregulated VEGF-A in SK-Mel5 cells and that the CAMKK inhibitor STO-609 blunted both responses (Fig 5C 5D). This suggests that AMPK is still activated by CAMKII in these cells and shows that the VEGF-A gene still responded to AMPK in SK-Mel5 cells, providing further evidence that AMPK upregulated VEGF-A in BRAF mutant cells.

AMPK stimulates VEGF-A protein production through ERK

To determine how AMPK upregulated VEGF-A, we show that AICAR increased VEGF-A mRNA levels in A375 cells (Fig 5E). Since VEGF-A is a hypoxia-regulated gene (23), we investigated if the hypoxia-inducible transcription factors (HIFs) regulated these responses. However, our experiments were performed in 20% oxygen and HIF1α was not expressed (Supplemental Fig 6A). Furthermore, metformin and AICAR did not induce HIF1α expression in these cells (Supplemental Fig 6B) and HIF1α siRNA did not block VEGF-A upregulation by metformin or AICAR (Supplemental Figs 6C, 6D). In addition, we were unable to detect HIF2α by western blot in these cells and HIF2α siRNA did not block metformin or AICAR mediated VEGF-A upregulation (Supplemental Figs 6C, 6D). Finally, we also show that although hypoxia upregulated the basal level of VEGF-A in A375 cells, metformin and AICAR further upregulated VEGF-A in the hypoxic cells (Supplemental Fig 6E). We conclude that metformin and AICAR upregulate VEGF-A independently of hypoxia.

Previous studies have shown that VEGF-A expression is also regulated by ERK signaling in some cells (24), so we examined if ERK regulated VEGF-A in metformin treated BRAF mutant melanoma cells. We show that the MEK inhibitor PD184352 downregulated the basal levels of VEGF-A mRNA in A375 cells (Fig 5E). We also show that PD184352 and the BRAF inhibitors PLX4720 and 885-A (25) blocked VEGF-A upregulation in AICAR treated cells (Fig 5F). Furthermore, BRAF depletion by siRNA also blocked VEGF-A upregulation by metformin and AICAR (Fig 5G). Note that BRAF depletion did not block AICAR or metformin-driven ACC phosphorylation (Fig 5G), showing that BRAF depletion did not inhibit AMPK through an unknown cryptic mechanism. Furthermore, while conducting this experiment, we noted that metformin and AICAR activated ERK in the scrambled siRNA control samples (Fig 5G, lanes 1-3), but not in the cells in which BRAF was depleted (Fig 5G lanes 4-9). Following this observation up, we show that ERK activation by AICAR occurred with slow kinetics and in the absence of increased MEK phosphorylation (Fig 5H) or BRAF activation (Supplemental Fig 6F).

AICAR induces degradation of DUSP6 protein in BRAF mutant melanoma cells

Since metformin and AICAR activated ERK without activating upstream signaling, we examined if AMPK disrupted ERK pathway negative feedback loops. The dual specificity phosphatase DUSP6 is an ERK negative regulator and a transcription target of BRAFV600E/ERK signaling in melanoma cells (26-28). Commensurate with this, we show that PD184352 strongly suppressed (>99% inhibition) DUSP6 mRNA in A375 cells (Fig 6A) and this was accompanied by loss of the DUSP6 protein (Fig 6B, lanes 1, 2). Conversely, we show that ERK activation by AICAR was accompanied by an increase in DUSP6 mRNA (~4.2 fold increase, see Fig 6A), but unexpectedly this was accompanied by a reduction rather than increase in DUSP6 protein (Fig 6B, lanes 1, 3, 4). These data suggested that AMPK targets DUSP6 for degradation and accordingly we show that DUSP6 protein was downregulated in A375 xenografts from metformin treated mice (Fig 6C; Supplemental Fig 7A), correlating with increased ERK activation (Supplemental Fig 7B). We also show that the proteasome inhibitor MG132 prevented DUSP6 protein loss in PD184352 treated cells (Fig 6D), but increased DUSP6 protein in AICAR treated cells (Fig 6D). Finally, we show that DUSP6 depletion by two distinct siRNAs activated ERK (Fig 6E) and upregulated VEGF-A (Fig 6F) in A375 cells. We conclude that by targeting DUSP6 for degradation, AMPK activated ERK and upregulated VEGF-A.

Figure 6. AMPK activation downregulates DUSP6 protein, promoting ERK activity and VEGF production.

Figure 6

A. DUSP6 mRNA levels in A375 cells treated with PD184352 (PD; 1μM) or AICAR (1mM) for 6h. Results are presented relative to vehicle treated control cells. Error bars: SD from the mean.

B. Western blot for DUSP6, phospho-ERK (pERK) and ERK2 (loading control) in A375 cells treated with DMSO, PD184352 (PD; 1μM), metformin (Met; 2mM) or AICAR (1mM) for 6 hr.

C. DUSP6 protein levels in A375 xenografts from water (Ctrl) and Metformin (Met) treated mice (n=5). Levels were measured by densitometry of individual bands of DUSP6 on Western blot, and normalized to the corresponding ERK2 band (loading control; see figure S6). Error bars: SD from the mean.

D. Western blot for DUSP6 and tubulin (loading control) in A375 cells treated with PD184352 (PD; 1μM), AICAR (1mM) and MG132 (MG; 1μM) for 6h.

E. Western blot for DUSP6, BRAF, phospho-ERK (pERK) and ERK2 (loading control) in A375 cells treated with scrambled control (Scr), BRAF (siB.1) or DUSP6 (siD6.1 or siD6.2) siRNA.

F. VEGF-A protein levels in conditioned media from A375 cells treated with scrambled control (Scr), BRAF (siB.1) or DUSP6 (siD6.1 or siD.6.2) siRNA.

DISCUSSION

The anti-diabetic drug metformin blocks cancer cell growth in vitro (11, 12), delays tumor onset in mice (15) and decreases lifetime risk of cancer in humans (9, 10). Thus, metformin possess anti-tumor activity in a variety of cancers, but we show here that BRAF mutant melanoma cells were resistant to this drug because RSK activity is elevated. Support for this conclusion comes from our observation that NRAS mutant cells had low RSK activity and were sensitive to metformin, but could be made resistant to metformin by expression of constitutively active RSK. Conversely, BRAF mutant melanoma cells had high RSK activity, were resistant to metformin and could be made sensitive to metformin by inhibition or depletion of RSK. Critically, metformin blocked TORC1 signaling in NRAS mutant cells, whereas RSK inhibitors blocked TORC1 signaling in BRAF mutant cells. Thus, unlike most other cancer cells so far tested, in our hands BRAF mutant melanoma cells were resistant to AMPK and we show that this was mediated by RSK sustaining TORC1 signaling.

Our results were unexpected because it has been reported that AICAR does not activate AMPK in BRAF mutant melanoma cells (16, 17), but we clarify this apparent contradiction by showing that AICAR activated AMPK with slow kinetics in these cells, explaining why its activation was missed in the earlier studies. We further show that metformin and glucose starvation activated AMPK in BRAF mutant cells. These data confirm that AMPK could be activated in BRAF mutant melanoma cells, albeit with uncharacteristically slow kinetics. A plausible explanation for the delay in AMPK activation is that RSK activity is elevated. The role of RSK in AMPK regulation is controversial because while in some studies RSK is reported to inhibit cell growth through LKB1 (29), other reports show RSK inhibits LKB1-mediated AMPK activation (16, 17), whereas other studies RSK is reported to not play a role in AMPK regulation (30, 31). We note that expression of an LKB1 isoform lacking the RSK phosphorylation sites results in constitutive AMPK activation in SK-Mel28 melanoma cells, and also inhibits their growth (16, 17). However the relative contribution of AMPK compared to other LKB1 substrates, of which there are at least 13 (32), to this growth suppression is unknown. We show that RSK inhibition increased basal and metformin-stimulated AMPK activation in A375 cells (Fig 2D) and posit that RSK antagonizes AMPK to delay but not block its activation in these cells. Our results may explain some of the apparently discordant previously published results.

A second reason that our results were unexpected is that it has been reported that the growth of SK-Mel28 cells in soft agar was inhibited by metformin and AICAR (18). However, we were unable to replicate that result and in our hands the number and size of colonies formed by SK-Mel28 cells in soft agar were unaffected by metformin or AICAR (Supplemental Fig 1B). Furthermore, we have confirmed that 1 mouse and 8 human BRAF-mutant cell lines were resistant to metformin in soft agar (Fig 1A and Supplemental Fig 1C), suggesting that the SM-Mel28 clone used in the previous study are not representative of the majority of other BRAF mutant cells. One possibility is that they acquired sensitivity to AMPK, something that would occur if, for example, they downregulated RSK.

While we were conducting this study, it was reported metformin inhibits the growth of A375 cells xenografts in mice (33). The basis of this difference is unclear, but we obtained consistent acceleration of BRAF mutant melanoma cell growth in vivo with 3 different BRAF-mutant cell lines (Fig 3A, 3B and 4F). Notably, our results are consistent with those of Phoenix et al, who also observed accelerated growth of MDA-MB-435 cells in metformin-treated mice (34). A notable difference between the studies is that whereas we initiated drug treatment at the same time as implanting the cells and delivered the drug through the oral route (as did Phoenix et al), Tomic et al initiated drug treatment 5 days after inoculating the cells and delivered the drug by intraperitoneal injection, differences that could plausibly account for the discrepancies in the results.

Another unexpected finding of our study was that metformin accelerated BRAF mutant tumor growth by upregulating VEGF-A. When VEGF was inhibited using genetics (shRNA), antibodies (bevacizumab), or small molecules (axitinib), instead of accelerating tumor growth, metformin suppressed tumor growth. Thus, in addition to driving the growth of BRAF mutant cells in vivo, VEGF was critical for their survival. Thus, we have identified an unexpected “synthetic lethality” whereby metformin and VEGF inhibitors cooperate to suppress BRAF mutant tumor growth. We note that previous studies have shown that integrin inhibitors also upregulate VEGF-A and then cooperate with anti-VEGF therapies to suppress tumor growth (35), showing intriguing parallels with our findings.

Metformin has been reported to upregulate VEGF-A in MDA-MB-435 cells (34), but the origin of these cells is controversial, as they express markers consistent with a melanoma line rather than ER, PR and HER2/Neu negative breast cancer cells (25, 36-39). Thus, while we confirm that metformin upregulates VEGF-A in MDA-MB-435 cells, our findings clarify that this is a response of BRAF mutant melanoma cells rather than triple negative breast cancer cells. Furthermore, we have elucidated the mechanisms underlying this response and based on our observations, we propose the following model to explain how this network controls BRAF mutant melanoma cell growth in vitro and in vivo. We posit that under normal conditions (Fig 7A) ERK is activated downstream of oncogenic BRAF and induces DUSP6 which feeds back to fine-tune ERK activity. ERK also activates RSK, which is largely responsible for maintaining TORC1 signaling, and it induces low levels of VEGF-A expression. These events presumably exist in equilibrium. When the cells are treated with metformin (Fig 7B), although RSK delays AMPK activation, once it is activated it targets DUSP6 for degradation and disrupts feedback equilibrium to increase ERK activity. Although this increases DUSP6 mRNA levels, the protein does not accumulate because it is persistently degraded by AMPK. ERK then further activates RSK, sustaining TORC1 activity despite AMPK activation. We posit that these cell-autonomous effects explain why BRAF mutant melanoma cells are resistant to AMPK, and the consequent upregulation of VEGF-A drives cell-non-autonomous events in vivo that increase vascular density and accelerate tumor growth.

Figure 7. Model for signaling networks controlled by AMPK in BRAF-mutant melanoma cells.

Figure 7

The activity of each protein is represented according to the colors code indicated by the bar. The relative level of interaction between the components is indicated by the thickness of the lines/arrows between them.

A. Under basal conditions oncogenic BRAF activates ERK, which then drives DUSP6 expression to modulate ERK signaling. ERK also activates RSK, which activates TORC1 to drive protein translation. ERK also induces expression of low levels of VEGF-A.

B. In metformin treated cells, AMPK is activated and targets the DUSP6 protein for degradation. This results in increased ERK activity and although this increases DUSP6 mRNA levels the protein does not accumulate. ERK also activates RSK, which maintains TORC1 activity despite AMPK activation, and it upregulates VEGF.

Our results have two apparently contradictory clinical implications. First, they suggest that metformin should not be prescribed to diabetic patients with BRAF mutant melanoma as it may accelerate the growth of their tumors. Conversely, they suggest that metformin and anti-VEGF agents could be combined to treat these same tumors. BRAF drugs such as vemurafenib mediate impressive responses in BRAF mutant melanoma patients, but responses are limited because most patients develop resistance and about 20% of patients possess primary resistance to these agents (3, 4). Thus, alternative treatments are needed even for BRAF mutant tumors and the metformin/anti-VEGF combination we describe may have clinical utility.

In summary, we show that AMPK drives cell-autonomous and cell-non-autonomous events in BRAF mutant melanoma cells. RSK mediates the cell-autonomous events and allows the cells to escape the anti-growth effects of AMPK. The cell-non-autonomous effects are mediated by VEGF-A and drive tumor growth. Intriguingly, we have also identified a cooperative response between VEGF signaling antagonists and metformin that slows tumor growth. Our findings therefore have clear implications for diabetic and melanoma patients, but may also provide new melanoma treatment strategies that bear further exploration.

METHODS

Reagents

Antibodies for phospho-ACC, phospho-AMPKα, total AMPKα, phospho-MEK, phospho-S6, phospho-S6K1, phospho-4EBP1, phospho-RSK, RSK2, HIF-1α and LKB1 were from Cell Signaling Technology (Cambridge-Biosciences). Antibodies for BRAF, ERK2 and AMPKα1 were from Santa Cruz Biotechnology (Santa Cruz, USA). The DUSP6 antibody was from Abcam (Cambridge, USA). Phospho-ERK1/2 and tubulin antibodies were from Sigma. Anti-RSK1 was from Millipore (Billerica, USA). A-77652 and BI-D1870 were from the Medical Research Council Protein Phosphorylation Unit, University of Dundee (UK). Metformin, phenformin, AICAR, A23157, STO-609 and rapamycin were from Sigma. Axitinib was purchased from Selleck Chemicals. 885-A was synthesized on contract by Evotec AG (Abingdon, UK). PD184352 and PLX4720 were synthesized in-house.

Preparation of cell lysates and Western blotting

The details are described in the Supplemental Material

Cell culture techniques

Details regarding cell lines, their growth conditions, mutation status and source are found in Supplemental Table 1. Cell viability was by SRB assay (40) and growth in soft agar as described (41), with macroscopic (>0.1-mm) colonies scored (10 fields per sample; triplicate determinations) after 2 weeks. The number of colonies formed/total number of cells plated (%) was calculated and is expressed relative to appropriate controls. Statistical analysis was by Student’s t-test. VEGF-A protein levels were measured by human-specific sandwich ELISA (R&D Systems). Gene expression measurements by qRT-PCR and siRNA mediated gene depletion was as described (25). Cells transfected with shRNA vectors (SA Biosciences) were selected in puromycin (1μg/mL). Further details can be found in Supplemental Material.

Xenograft studies

All animal procedures were approved by the Animal Ethics Committees of the Institute of Cancer Research in accordance with National Home Office regulations under the Animals (Scientific Procedures) Act 1986 and according to the guidelines of the Committee of the National Cancer Research Institute (Workman et al., 2010). 2.5 × 106 A375, 2.5 × 106 Mel-HO, 5 × 106 D-04, 4 × 106 MDA-MB-435/NS or 4 × 106 MDA-MB-435/shV.3 cells were injected into the flanks of female (5-8 mice per group) nude mice (Charles River; UK) as described (42). Metformin (300 mg/kg) was administered in drinking water one day prior to injection of cells assuming an average water consumption of 5ml per day per mouse. Axitinib was dissolved in a vehicle of 0.5% w/v carboxymethyl cellulose, and administered daily by oral gavage at a dose of 10 mg/kg, beginning 14 days after injection of cells. Bevacizumab was injected intraperitoneally twice weekly. Tumor length and width were measured using calipers and tumor volume calculated using the formula: Volume = 0.5236 × length × width2.

Immunohistochemistry

Tumor vessel density was analyzed in ~600mm3 formalin fixed tumors. 3 μm sections were stained for endoglin (CD105, dilution 1:60; Novocastra) detection with VECTOR® M.O.M.™ Immunodetection Basic Kit (Vector Laboratories). The number of endoglin positive vessels in 5 randomly selected high-powered fields (HPF) for control tumors (n=6) or metformin (n=9) treated mice was determined. The average vessel area was calculated as the sum of the vessel area (∑A) in 5 HPF per tumor with area expressed as maximum length*maximum width (A=a*b), with the average taken for all water treated and metformin treated animals.

Statistical Analysis

The Student’s t test was performed for mRNA expression, tumor xenografts, soft agar, and VEGF-A ELISA assays, the Mann Whitney ranks test was performed for the blood vessel number and area.

Supplementary Material

1

SIGNIFICANCE.

Metformin inhibits the growth of most tumor cells, but BRAF-mutant melanoma cells are resistant to metformin in vitro, and metformin accelerates their growth in vivo. Unexpectedly, VEGF inhibitors and metformin synergise to suppress the growth of BRAF-mutant tumors, revealing a combination of drugs that may be effective in these patients.

ACKNOWLEDGMENTS

We thank Professor Caroline Springer for providing PD184352 and PLX4720, and Mr. Eric Ward (ICR) and Ms Annette Lane (ICR) for technical assistance with histological and immunohistochemical preparations.

GRANT SUPPORT This work was supported by AICR (ref: 09-0773), Cancer Research UK (ref: C107/A10433) and The Institute of Cancer Research.

Footnotes

DISCLOSURE OF POTENTIAL CONFLICTS OF INTEREST All ICR authors are part of a “Rewards to Inventors Scheme,” which could provide financial benefit to any authors that contribute to programs that are subsequently commercialized.

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