Abstract
Here, we demonstrate that troglitazone (Rezulin), a peroxisome proliferator-activated receptor agonist, acted in synergy with heregulin to induce massive cell death in breast cancer cells. Although the combination of heregulin and troglitazone (HRG/TGZ) induced both apoptosis and necrosis, the main mode of cell death was caspase-independent and occurred via necrosis. This combination increased generation of superoxide in mitochondria, which in turn destabilized mitochondria potential. Pretreatment with N-acetyl-l-cysteine and catalase expression ameliorated cell death induced by the combination treatment, indicating a role of oxidative stress in mediating HRG/TGZ-induced cell death. Notably, pretreatment with pyruvate significantly prevented the cell death, suggesting a potential mechanistic link between metabolic stress and HRG/TGZ-induced cell death. The activation of the HRG signaling axis has been considered as a poor prognostic factor in breast cancer and confers resistance to gefitinib (Iressa) and tamoxifen. However, our data presented here paradoxically suggest that HRG expression can actually be beneficial when it comes to treating breast cancer with peroxisome proliferator-activated receptor-γ ligands. Taken together, the combination of HRG and TGZ may provide a basis for the development of a novel strategy in the treatment of apoptosis-resistant and/or hormone-refractory breast cancer.
Keywords: Apoptosis, Breast Cancer, Cell Death, Cell Metabolism, Necrosis (Necrotic Death), Heregulin, PPARγ
Introduction
Breast cancer is the second most common cause of cancer death, accounting for one in three of all cancer cases diagnosed in women. Although overall survival continues to improve for breast cancer, intrinsic or acquired therapy resistance has been an ongoing obstacle to reducing overall breast cancer mortality. Combining different drugs is now widely used to overcome the problem of therapy resistance. Combination therapy often increases the likelihood of response, and in ideal combination may even be synergistic rather than simply additive. In addition, by keeping each drug at low dose, there can be the potential advantages of longer duration of action and less side effects.
Heregulin (HRG),2 also known as neuregulin or neu differentiation factor, is a soluble secreted growth factor. The HRG gene family consists of four members, HRG-1, HRG-2, HRG-3, and HRG-4, of which a multitude of different isoforms are synthesized by alternative exon splicing (1). HRG binds to HER3 receptors or HER4 receptors, or both, resulting in the formation of receptor homo- and heterodimerization. In mammary epithelial cells, HRG predominantly uses HER2 and HER3 dimers. Upon engagement of HRG with the heregulin extracellular domain, multiple signaling pathways, such as the phosphatidylinositol 3-kinase (PI3K)/AKT, RAS/MAPK, and JNK pathways, are activated. To date, most studies have shown that HRG exhibits a growth-stimulatory effect in a variety of cancer cells, including breast cancer cells. Several lines of evidence implicated activation of human epidermal growth factor receptors by HRG as a primary driver of malignancy (2–4). Activation of HER-3 by HRG is also involved in resistance to current EGF receptor-targeted therapies (5). Furthermore, HRG induces the progression of breast cancer cells to more resistance to anti-estrogenic therapy and to a more aggressive phenotype (6).
Peroxisome proliferator-activated receptors (PPARs) belong to the nuclear hormone receptor superfamily and are implicated in the pathology of numerous diseases, including obesity, diabetes, atherosclerosis, and cancer (7). PPARs consist of α, β, and γ subtypes. Among PPARs, PPARγ is of particular interest, because it is expressed in many human cancers and plays key roles in the proliferation, differentiation, and apoptosis of cancer cells. Accordingly, PPAR activation in cancer has been intensively studied. Recent studies have shown that ligand activation of the PPARγ receptor causes growth inhibition by inducing the differentiation or apoptosis of various human cancer cells (8). Breast cancer cells often express prominent levels of PPARγ (9), and mice with germ line deletion of PPAR (PPAR+/−) have a greater susceptibility to breast cancer (10), suggesting a strong causal link between PPARγ and progression of breast cancer.
Among PPARγ ligands, troglitazone (Rezulin, Resulin, or Romozin) (TGZ), the most extensively studied compound, shows anti-tumorigenic effects in human breast cancer cells (9, 11). TGZ also exerts its anti-tumorigenic effects in colon cancer cells both in vivo and in vitro (12). However, there have been some apparently contradictory observations in which TGZ treatment increases the number of precancerous polyps in the colon in Apc mutant mice compared with untreated ones (13, 14). It was also reported that activation of PPARγ signaling enhances mammary tumorigenesis via activation of Wnt signaling (15). Furthermore, TGZ has been shown to stimulate growth of osteosarcoma (16), suggesting that TGZ can trigger both stimulatory and inhibitory effects depending on the cell- and tissue-specific context (7).
Although there have been trials with the use of PPARγ agonists in the treatment of cancer, such treatment was not successful as a monotherapy in breast (17) and colorectal cancer (18). In a recent study by Girnun et al. (19), combining a platinum-based drug, carboplatin, with PPARγ ligands is showing highly promising results in inhibition of lung, colon, and ovarian cancer cell growth. However, platinum-based drugs, including carboplatin, are not normally used to treat breast cancer (20), although there is an ongoing trial using platinum-based therapy in triple-negative breast cancer patients who do not harbor a BRCA1 mutation (21).
TGZ, although it is one of the most extensively studied PPARγ agonists, has recently been withdrawn from clinical trials because of its hepatocyte toxicity. Rosiglitazone (Avandia), another PPARγ agonist, is still on the market, but the cardiovascular safety of rosiglitazone is currently the subject of vigorous debate, necessitating further efforts to minimize its side effects. Hence, there is a compelling need to seek alternative combinatorial therapies to target breast cancer with PPARγ ligands.
Both HRG and TGZ have been found to exert not only inhibitory but also stimulatory effects on breast cancer cell growth. In this study, we demonstrate that these two-faced molecules, when combined, exert a pronounced synergy on cell death in breast cancer cells. We also explore molecular mechanisms by which these two compounds synergistically induce cell death in breast cancer cells.
EXPERIMENTAL PROCEDURES
Reagents
Recombinant human heregulin β-1 was purchased from PeproTech (Rocky Hill, NJ). Troglitazone, N-acetylcysteine, 3-methyladenine, propidium iodide (PI), E64d, and pepstatin A were obtained from Sigma. p38 MAPK inhibitor SB 203580, JNK inhibitor SP 600125, PI3K inhibitor LY 294002, PPARγ antagonist, GW9662, IM-54, and Z-VAD-fmk were purchased from Calbiochem. FuGENE HD and cell death detection ELISA kit were purchased from Roche Applied Science. Z-VAD-fmk and Dual-Luciferase assay system were purchased from Promega (Madison, WI). MitoSOX and YO-PRO1 kits were obtained from Invitrogen.
Antibodies
Monoclonal anti-PARP antibody was purchased from Biomol International LP (Plymouth Meeting, PA). Polyclonal and monoclonal anti-H2AX were purchased from Millipore (Billerica, MA). Antibodies against either phosphorylated or unphosphorylated p38 MAPK, JNK, AKT, and ERK were purchased from Cell Signaling Technologies (Billerica, MA). Polyclonal anti-actin antibody was obtained from StressGen Bioreagents (Victoria, Canada). Polyclonal anti-catalase antibody was purchased from Calbiochem. Polyclonal anti-LC3 antibody was purchased from Novus Biologicals (Littleton, CO). Polyclonal anti-ATG7 antibody was obtained from Sigma.
Cell Culture
The human breast cancer cell lines MCF-7, SKBR-3, and MDA-MB-453 were grown in complete medium, containing DMEM, McCoy5A, and RPMI 1640, respectively, supplemented with 10% fetal bovine serum (Sigma). MCF-10A cell line was grown in DMEM/F-12 (Invitrogen) supplemented with 5% horse serum 20 ng/ml EGF (PeproTech, Rocky Hill, NJ), 100 ng/ml cholera toxin (Sigma), and 0.5 μg/ml hydrocortisone (Sigma). Unless otherwise stated, cells were grown to ∼60% confluence, serum-starved overnight, and then treated with heregulin β-1 (100 ng/ml) and/or troglitazone (10 μm). When N-acetylcysteine, kinase inhibitors, or PPARγ antagonist were used, cells were pretreated with these reagents for 1 h before the addition of heregulin and/or troglitazone. MCF-7 cell line was infected with adenoviral vectors containing by human catalase for 4 h before heregulin and/or troglitazone treatment. The human catalase-expressing adenovirus was further purified and concentrated by Vivapure AdenoPACK (purchased from Sartorius, Goettingen, Germany).
Luciferase Reporter Assay
MCF-7 cells were transiently transfected with PPRE-luciferase reporter construct as well as pRL-SV40 Renilla internal control plasmid. After 16 h of transfection, cells were treated as indicated in the figure legends for another 24 h. Luciferase assay was performed 48 h after the transfection. Luciferase activity was normalized with control Renilla luciferase expression. Normalized luciferase activities of treated cells were expressed as fold increase compared with the untreated cells transfected with the same plasmid, arbitrarily set at 1. Experiments were done in duplicate, and the standard deviation was indicated.
Apoptosis/Necrosis Assay
Apoptosis was measured by the quantification of the histone-complexed DNA fragments (mono- and oligonucleosomes) by ELISA (Roche Applied Science). Lysates from cells treated similarly to those described above were analyzed. The level of mono- and oligonucleosomes released into the cytoplasm was measured at 405 nm against reference wavelength (460 nm). Enrichment factor was calculated as the ratio of the sample cells to the absorbance of control cells as described previously (22, 23) using the following formula: enrichment factor = milliunits (absorbance (10−3)) of the samples (apoptotic cells)/milliunits of the corresponding control. To assess apoptosis and necrosis, cells were stained with YO-PRO-1 and PI as directed by the manufacturer (Molecular Probes, Eugene, OR) and analyzed by flow cytometry (24, 25).
Mitochondrial Assays
Mitochondrial ROS levels were quantified as described by the manufacturer. MCF-7 cells were seeded into 6-well plates and cultured overnight followed by serum starvation. The cells were then incubated with heregulin-β1 and/or troglitazone for the indicated periods of time. Before harvesting, cells were incubated with MitoSOX (final concentration, 5 μm) for 10 min. Cells were washed with PBS, collected, and kept on ice in the dark for immediate detection with a flow cytometer (Coulter Epics XL flow cytometer). For measurement of mitochondrial membrane potential, the mitochondrial membrane potential detection kit was used as instructed by the manufacturer (Cayman Chemical, Ann Arbor, MI). Cells were treated as above and incubated with 10 μg/ml JC-1 for 10 min, and then fluorescence was measured on a flow cytometer using FL1 and FL2 channels.
Electron Microscopy
Electron microscopy was performed as described previously (26). Briefly, MCF-7 cells grown in tissue culture dishes and treated as above were fixed with 2.0% paraformaldehyde, 2.5% EM grade glutaraldehyde in PBS. After fixation, samples were dehydrated in a graded series of ethyl alcohol and embedded. Ultrathin sections of samples were placed on copper grids and stained with uranyl acetate and lead citrate. Sections were examined under a JEM 1011CX electron microscope (JEOL, Peabody, MA).
Immunocytochemistry
MCF-7 cells were seeded onto coverslips in 6-well plates to obtain ∼60% confluence and then treated as described above. The cells were then incubated with anti-phospho-H2AX (Ser-139) mouse monoclonal antibody at room temperature for 1 h followed by Alexa Fluor 488-conjugated anti-mouse IgG antibody (Molecular Probes Inc., Eugene, OR). Cells were then stained with DAPI (Molecular Probes Inc.). Cells were co-stained with antibodies to LC3, cytokeratin, and DAPI. Autophagy was quantified by counting the cells showing accumulation of LC3 puncta as described previously (27). Images were captured using a Zeiss Axioskop fluorescent microscope with Plan-NeoFluar 63×/1.25 oil lens and a CoolSnapPro (Media Cybernetics) digital camera with associated software.
Measurement of Intracellular ATP
ATP levels were measured using a luminescence ATP detection system (PerkinElmer Life Sciences) according to the manufacturer's instructions. Luminescence was measured using Wallac microplate luminescence reader (PerkinElmer Life Sciences) as counts/s and normalized to total protein concentration for each sample. The relative ATP level was calculated by dividing the counts/s of the treated samples by that of the control samples.
RNA Interference
MCF-7 cells were transfected with 100 nm pooled small interference RNA (siRNA) oligonucleotide (SMART pool) against ATG7 (obtained from Dharmacon, Lafayette, CO) or with 100 nm nontargeting siRNA (siGENOME 5, Dharmacon, Lafayette, CO) by Dharmafect I (Dharmacon, Lafayette, CO) according to the manufacturer's instructions. The knockdown effect was examined by Western blot.
RESULTS
Combinatory Treatment of HRG and TGZ Markedly Increases Cell Death in Breast Cancer Cells
Both HRG and TGZ are well known differentiation-inducing factors in breast cancer cells. In agreement, HRG or TGZ alone induced differentiation of MCF-7 breast cancer cells, as determined by Oil Red O staining. However, combinatorial treatment with HRG and TGZ (HRG/TGZ) did not increase the extent of differentiation, compared with either HRG or TGZ alone (data not shown). Rather, HRG/TGZ treatment led to a significant cell death, as shown in Fig. 1a. To measure the extent of cell death, MCF-7 cells were stained by PI and assessed by flow cytometry. HRG alone and TGZ alone induced cell death at 48 h of treatment, but their effects were modest. However, when HRG and TGZ were combined, this markedly increased cell death at 48 h of treatment (Fig. 1b) and led to virtually complete cell death at 72 h of treatment (data not shown). PARP has been widely used as an early indicator of apoptotic cell death, and its cleaved protein (89 kDa) is correlated with the extent of apoptotic cell death. As shown in Fig. 1c, compared with samples from control, TGZ alone, or HRG alone, HRG/TGZ treatment resulted in an increase in the ratio of cleaved to uncleaved PARP. To test whether the effect of HRG/TGZ on MCF-7 cells was not a cell line-specific effect, we assessed how other breast cancer cell lines respond to HRG/TGZ treatment. Apoptotic cell death was measured by the quantitative detection of mono- and oligonucleosomes (histone-associated DNA fragments) in the cytoplasmic fraction of cell lysates by ELISA. Combinatory treatment of TGZ and HRG significantly increased apoptotic cell death in both SKBR-3 and MDA-MB-453 breast cancer cells as compared with either alone (Fig. 1d), suggesting that HRG/TGZ-induced apoptosis is not a cell line-specific phenomenon. Notably, although MCF-10A cell (normal-like diploid human breast epithelial cell line) was highly sensitive to TGZ alone as reported previously (28), it displayed a significant resistance to HRG/TGZ-induced apoptosis (Fig. 1e).
Signaling Pathways Involved in HRG/TGZ-induced Cell Death
HRG activates a vast number of signal transduction pathways. Among these pathways, we focused AKT, ERK, p38 MAPK, and JNK, which are known to regulate proliferation and apoptosis of breast cancer cells. HRG alone and HRG/TGZ induced a transient increase in phosphorylation of p38 MAPK, JNK, AKT and ERK in MCF-7 cells, with a peak activation occurring at 5 min (Fig. 2a). Compared with HRG alone, HRG/TGZ treatment sustained these activations over longer periods of time. Of note, HRG/TGZ treatment significantly augmented the late phase p38 MAPK activation compared with either TGZ or HRG alone (Fig. 2a). It has been previously documented that the late phase of p38 MAPK activation followed by HRG treatment is correlated with HRG-induced apoptotic cell death in breast cancer (29).
This suggests that the observed cell death in HRG/TGZ-treated cells might be attributed to the augmented late phase p38 MAPK activation. The kinetics of AKT, ERK, JNK, and p38 MAPK activation in MDA-MB-453 and SKBR-3 cells were also comparable with that of MCF-7 cells, although the late phase p38 MAPK activation was observed at earlier time points in these cells compared with MCF-7 cells (data not shown). To further elucidate which signaling pathways mediate HRG/TGZ-induced apoptotic cell death, we examined the effect of various chemical inhibitors on HRG/TGZ-induced apoptosis. Pretreatment with PI3K/AKT inhibitor (LY 294002), JNK inhibitor (SP 600125), or MEK/ERK inhibitor (U1026) did not exert any protective effects against HRG/TGZ-induced apoptosis (data not shown). In contrast, p38 MAPK inhibitor SB 203580 decreased HRG/TGZ-induced apoptosis by about 35–40% (Fig. 2b), suggesting that p38 MAPK signaling is linked in part to HRG/TGZ-induced apoptosis.
We next determined the effects of the early and late phase of p38 MAPK activation on HRG/TGZ-induced apoptosis. Blocking the early phase of p38 MAPK activity (SB 203580 was retrieved before the onset of the late phase activation) provided only modest protection from HRG/TGZ-induced apoptosis, as determined by PARP cleavage (Fig. 2c). SB 203580 is a reversible inhibitor (30). Therefore, even after the early phase p38 MAPK activation was inhibited by SB 203580, the late phase p38 MAPK activity was still fully reversible upon removal of the inhibitor as shown in Fig. 2c (right lane, middle panel). Contrary to the early phase blockade, blocking of the late phase p38 MAPK activation significantly reduced the extent of HRG/TGZ-induced PARP cleavage (Fig. 2c, top panel, middle lane), suggesting that the late phase of p38 MAPK activity plays a more significant role than the early phase activation in HRG/TGZ-induced apoptosis.
PPARγ activation plays a major role in apoptosis in cancer cells. To investigate whether HRG/TGZ induces synergistic activation of the PPARγ receptor and thus triggers apoptosis, we assessed PPARγ activity using PPRE luciferase reporter construct. The combination of TGZ and HRG could stimulate the promoter activity to a higher level compared with TGZ or HRG alone (Fig. 2d). However, increased PPARγ activity did not correlate with HRG/TGZ-induced apoptosis, because pretreatment of GW9662, a potent antagonist of PPARγ, did not alter the extent of apoptotic cell death induced by HRG/TGZ (data not shown). Although HRG/TGZ treatment enhanced PPARγ activity also in MDA-MB-453 and SKBR-3 cells, GW9662 was not able to rescue these cells either (data not shown). As such, these data suggest that HRG/TGZ exerts its action through PPARγ-independent pathways.
HRG/TGZ Induces Both Apoptotic and Nonapoptotic/Necrotic Cell Death
Given the central role of caspases in mediating apoptosis, we tested whether a pan-caspase inhibitor, Z-VAD-fmk, could prevent or attenuate HRG/TGZ-induced cell death. Z-VAD-fmk efficiently blocked HRG/TGZ-induced apoptosis (Fig. 3a), as determined by nuclear fragmentation. However, a major portion of HRG/TGZ-treated cells still underwent cell death, suggesting that nonapoptotic/necrotic mechanisms contribute to the HRG/TGZ-induced cell death.
To assess the extent of apoptosis and necrosis caused by HRG/TGZ treatment, HRG/TGZ-treated cells were stained with PI and YO-PRO-1. Viable cells with intact membrane exclude both dyes (live cells, YO-PRO-1−, and PI−), whereas apoptotic cells are permeable to YO-PRO-1, yet remain impermeable to PI (YO-PRO-1+, PI−) (31). Meanwhile, necrotic (or late apoptotic) cells lose membrane integrity and become PI-positive. HRG/TGZ induced both apoptotic and necrotic cell death, but mostly through the necrotic (62%) rather than the apoptotic (13%) pathway (Fig. 3b, left panel). Necrotic cell death can be better defined by electron microscopy. The majority of the HRG/TGZ-treated cells displayed typical changes associated with necrotic cell death, such as discontinuities in plasma membrane, multiple large vacuoles, and leakage of cellular contents (Fig. 3c, left panel). The percentages of apoptosis- and necrosis-like cells based on electron microscopic determination were comparable (Fig. 3c, right panel) with those obtained using YO-PRO-1/PI staining. Furthermore, IM-54, a selective inhibitor of oxidative stress-induced necrotic cell death, substantially reduced HRG/TGZ-induced cell death (supplemental Fig. 1), supporting the notion that HRG/TGZ-induced cell death occurred primarily through necrosis.
Notably, pretreatment of methyl pyruvate significantly reduced the extent of HRG/TGZ-induced necrosis (from 62 to 31%) with minimal impact on HRG/TGZ-induced apoptosis (Fig. 3b, middle panel), suggesting that HRG/TGZ-induced cell death is associated with metabolic stress. A comparable protective effect was also achieved with sodium pyruvate (HRG/TGZ + NaPyr) (data not shown). Of note, HRG/TGZ treatment resulted in marked depletion of cellular ATP levels compared with untreated cells (Fig. 3d). In contrast, supplementation of MePyr or NaPyr prevented HRG/TGZ-induced depletion of cellular ATP (Fig. 3d). These results suggest that pyruvate rescues the low energy status of HRG/TGZ-treated cells, further supporting the hypothesis that HRG/TGZ-induced cell death is mainly caused by metabolic stress. Low ATP concentration pushes the cell into necrotic cell death (11, 15), which is consistent with the major type of cell death observed in HRG/TGZ-treated cells.
The medium in the HRG/TGZ-treated wells precipitously turned yellow with a concomitant drop in pH (Fig. 3e) before the onset of cell death, reinforcing the causal association between HRG/TGZ-induced cell death and metabolic stress. Meanwhile, 3-MA, an autophagy inhibitor (HRG/TGZ + 3-MA), showed only modest effects on HRG/TGZ-induced necrosis (from 62 to 69%) (Fig. 3b, right panel).
Combinatory Treatment of HRG and TGZ Causes Oxidative Stress and Mitochondrial Dysfunction
Mitochondria play a major role in cellular energy metabolism, and metabolic stress can induce mitochondrial dysfunction (32). To test whether HRG/TGZ-induced cell death was associated with mitochondrial function, a change in mitochondrial transmembrane potential (Δψm) was assessed by flow cytometric assessment of JC-1. JC-1 offers more reliable staining than rhodamines and other carbocyanines, because it can selectively enter into mitochondria (33). HRG alone had a slightly protective effect on Δψm, whereas TGZ alone destabilized Δψm (Fig. 4a). The combined treatment (HRG/TGZ) resulted in a further reduction in the mitochondrial transmembrane potential as indicated by a marked shift in JC-1 fluorescence (Fig. 4a).
ROS are postulated to be a common trigger for mitochondrial dysfunction. Therefore, we asked whether HRG/TGZ treatment causes an accumulation of higher levels of ROS, which in turn leads to the ROS-induced collapse of mitochondrial membrane potential. Because mitochondria are the primary source of ROS in eukaryotic cells, we measured mitochondrial ROS using MitoSox, which is a highly selective probe for mitochondrial superoxide anion. A higher level of mitochondrial ROS was observed in HRG/TGZ-treated cells than those treated with either alone or nontreated cells (Fig. 4b). Taken together, these results suggest that oxidative damage of mitochondria induced by HRG/TGZ potentially contributes to HRG/TGZ-induced cell death.
N-Acetylcysteine (NAC) interacts with ROS and oxygen radicals, counteracting ROS-induced effects. To test whether the augmented ROS level indeed plays a role in mediating the HRG/TGZ-induced cell death, MCF-7 cells were pretreated with NAC and then challenged with a combination of HRG and TGZ. NAC was able to significantly protect cells from HRG/TGZ-induced cell death (Fig. 5a), indicating that the generation of ROS is one of major determinants of HRG/TGZ-induced cell death.
Although apoptotic cell death accounted for a minor portion of HRG/TGZ-induced cell death (Fig. 3b), NAC attenuated nuclear DNA fragmentation (apoptosis) induced by HRG/TGZ by about 40–50% (Fig. 5b), suggesting that ROS actively take part in HRG/TGZ-induced apoptotic cell death. This protective effect of NAC against HRG/TGZ-induced cell death was accompanied with the inhibition of the late phase p38 MAPK activation (Fig. 5c). Interestingly, SB 203580 was also able to reduce the level of ROS in HRG/TGZ-treated cells (supplemental Fig. 2). These results suggest that p38 MAPK and ROS can function independently or in parallel in HRG/TGZ-induced cell death, although it remains uncertain how exactly ROS and p38 MAPK are interconnected in HRG/TGZ-induced cell death.
To further substantiate the role of ROS in HRG/TGZ-induced apoptosis, MCF-7 cells were transduced with recombinant adenovirus encoding catalase. Whereas treatment with HRG/TGZ in control adenovirus-infected cells (Ad-GFP) still allowed for significant PARP cleavage, infection with catalase-encoding adenovirus (Ad-catalase) led to a reduction in PARP cleavage (Fig. 5d).
Recent studies indicate that autophagy plays an active role in cell death and survival (34). Whether autophagy favors apoptosis or survival is context-dependent (35). Many cellular stresses that induce ROS generation also induce autophagy, which in turn triggers or delays cell death (36). To test whether the cell death induced by HRG/TGZ is attributable to autophagy formation upon HRG/TGZ treatment, we assessed autophagy formation by immunocytochemical analysis. The quantitative analysis of LC3 revealed a significant increase in the number of LC-3 positive puncta in HRG/TGZ-treated cells compared with untreated control cells (95 ± 3 versus 10 ± 2%, p < 0.01) (Fig. 5e). The proportion of LC3II increases during autophagosome formation, and thus its levels can serve as an indicator of autophagosome (37). HRG/TGZ induced a significant increase in LC3II expression, whereas HRG or TGZ alone had only a marginal effect on LC3II expression (Fig. 5f). To assess more precisely that HRG/TGZ regulates autophagic flux, MCF-7 cells were treated with the combination of E64D and pepstatin A, and the levels of LC3-II were measured. E64D/pepstatin A further increased the levels of LC3-II (supplemental Fig. 3), suggesting that HRG/TGZ induces autophagosome formation. In agreement, electron microscopic analysis revealed a number of autophagosomes in HRG/TGZ-treated cells (Fig. 5g).
Despite the increase in autophagy in HRG/TGZ-treated cells, this pathway does not seem to contribute significantly to HRG/TGZ-induced cell death, because inhibition of autophagy with 3-MA (at a dose that does not compromise the viability of MCF-7 cells) caused only a modest change in HRG/TGZ-induced cell death (Fig. 3b). Similarly, another autophagosome inhibitor, bafilomycin A, did not have a noticeable effect on the HRG/TGZ-induced cell death (data not shown). However, like most pharmacological inhibitors, 3-MA and bafilomycin A are not specific inhibitors for autophagy. To determine more precisely the role of autophagosome in HRG/TGZ-induced cell death, MCF-7 cells were transiently transfected with negative control siRNA (scramble siRNA) or Atg7 siRNA. siRNA-mediated knockdown of Atg7 markedly reduced its protein expression in MCF-7 cells (Fig. 5h, left, top panel). As expected, Atg7 knockdown resulted in decreased expression of LC3-II (Fig. 5h, left, middle panel). However, despite a significant “knockdown” of the Atg 7 protein, there were no noticeable differences in HRG/TGZ-induced cell death between Atg7 siRNA and control siRNA cells (Fig. 5h, right panel), indicating that autophagosome plays a minimal role in HRG/TGZ-induced cell death. Of note, treatment of NAC reduced LC3II expression, suggesting that HRG/TGZ-induced autophagy is in part due to oxidative stress (Fig. 5f).
Given the fact that ROS can cause damage to macromolecules such as DNA (38), we determined whether the elevated level of ROS from HRG/TGZ-treated breast cancer cells causes DNA damage. We measured γ-H2AX foci formation, a sensitive marker for double strand breaks, to visualize and quantify double strand breaks elicited by different treatment groups. HRG induced a modest increase in γ-H2AX foci formation (Fig. 6a). The HRG and TGZ combination, which causes an accumulation of a higher level of ROS (Fig. 4b), produced more γ-H2AX foci as shown in Fig. 6a. Western blot analysis also revealed an increase in the level of γ-H2AX in HRG/TGZ-treated cells (Fig. 6b, left panel). NAC treatment resulted in the inhibition of γ-H2AX expression (Fig. 6b, right panel), indicating that the elevated level of ROS by HRG/TGZ treatment is associated with the increased γ-H2AX foci.
DISCUSSION
It has been found that HRG confers resistance against drugs such as gefitinib and tamoxifen (5), indicating that increased expression of HRG correlates with poor prognosis in breast cancer (2, 6, 39). On the contrary, this study suggests that HRG expression in breast cancer can actually be beneficial when it comes to treating breast cancer with PPARγ ligands.
We demonstrated here that HRG in combination with TGZ consistently induced massive cell death in breast cancer cells. Although the combination was equally potent in inducing cell death in all three breast cancer cell lines tested, MCF-10A cells were significantly more resistant to HRG/TGZ-induced cell death. The mechanisms underlying the resistance of MCF-10A cells against HRG/TGZ treatment are not known yet. Little or no expression of HER-4 in MCF-10A cells may account for the resistance to HRG/TGZ. However, MDA-MB-453 and SKBR-3 cells, which also express low level or absent HER-4 (40), still underwent significant cell death in response to HRG/TGZ treatment, excluding this possibility. Whether normal primary breast epithelial cells also exhibit resistance to HRG/TGZ clearly warrants further investigation.
p38 MAPK inhibitor, but not PI3-K/AKT, JNK, or MEK/ERK inhibitors, reduced the capacity of HRG/TGZ to trigger apoptosis, suggesting that p38 MAPK plays a role in HRG/TGZ-induced apoptosis. HRG/TGZ treatment elicited a biphasic pattern of p38 MAPK activation (early phase and late phase). Importantly, the late phase activation seems to play a more significant role than the early phase activation in HRG/TGZ-mediated apoptosis, because the selective blocking of the late phase p38 MAPK activation provided a substantially higher level of protection against HRG/TGZ-induced apoptosis than that obtained by the early phase blocking. However, in either case, p38 MAPK inhibitor cannot fully protect breast cancer cells from HRG/TGZ-induced apoptosis, suggesting that alternative pathways to trigger cell death may exist.
Activation of the PPARγ pathway is known to induce apoptosis, but although HRG/TGZ synergistically increased in the transcriptional activity of the PPRE luciferase reporter, GW9662 (PPARγ antagonist) treatment showed no effect on HRG/TGZ-induced cell death, indicating that the observed effects are independent of PPARγ activation. It is known that thiazolidinediones can induce their cytotoxic activity independent of PPARγ activation. However, the molecular basis of how thiazolidinediones exert their effects in a PPARγ-independent manner is currently incompletely elucidated (41).
Importantly, inhibition of caspase activity with a pan-caspase inhibitor provided only modest protection against HRG/TGZ-induced cell death. Although necrosis accounted for the majority of HRG/TGZ-induced cell death, necrotic and apoptotic cell death was concomitantly activated in HRG/TGZ-treated cells. It was consistently observed that HRG/TGZ-treated media turned yellow during cell death, suggesting HRG/TGZ-induced cell death could be the consequence of a metabolic stress. Consistent with this speculation, pyruvate addition significantly protected cells from HRG/TGZ-induced cell death. Transport of nutrients from extracellular medium into the cell is mediated by specific transporter proteins. For example, IL-3 withdrawal or ceramide treatment induces cell death by down-regulating nutrient transporters (42, 43). Accordingly, only a permeable pyruvate (MePyr), but not an impermeable pyruvate (NaPyr), could counteract the onset of metabolic stress in ceramide-treated cells (43). In contrast, sodium pyruvate could exert a protective effect against the HRG/TGZ-induced cell death (data not shown). This result suggests that HRG/TGZ-induced cell death is not due to down-regulation of nutrient transporter proteins. These protective effects of pyruvate (NaPyr and MePyr) could be multifactorial, including scavenging ROS and/or providing an energy source, etc. (44–46). Although further studies are necessary to explore such possibilities, our study showed that pyruvate significantly attenuated the decline in ATP levels in HRG/TGZ-treated cells, suggesting that pyruvate was used as an energy substrate during HRG/TGZ-induced metabolic stress.
Direct measurement of mitochondrial ROS showed an accumulation of higher levels of superoxide in HRG/TGZ-treated cells, and this was apparently correlated with impaired mitochondrial function. Thus, it is likely that oxidative damage to mitochondria is associated with HRG/TGZ-induced cell death. ROS are also well known to cause DNA damage and induce cytotoxicity. HRG/TGZ treatment triggered a pronounced increase in γ-H2AX levels compared with either treatment alone, but pretreatment with NAC reduced γ-H2AX levels, indicating that HRG/TGZ-induced DNA damage represents a ROS-dependent process.
Although HRG/TGZ treatment increased autophagosome formation, suppression of autophagosomes did not significantly affect HRG/TGZ-induced cell death. These results suggest that autophagosome formation, although it is markedly increased upon HRG/TGZ treatment, is not sufficient to override HRG/TGZ-induced cell death.
Whereas HRG signaling exerts stimulatory effects on breast cancer cells (2, 6, 39), there are also contradictory results showing that activation of HRG signaling exerts inhibitory effects on breast cancer cell growth and survival (1, 29, 47). When, how, and in which conditions HRG functions as stimulatory or inhibitory molecules in breast cancer cells is not clearly understood (48). Some studies suggest that HRG can either promote proliferation or induce apoptosis depending on HRG concentration (49). However, when cell death was assessed with various amounts of HRG in the presence of 10 μm TGZ, there was no apparent correlation between HRG concentrations and the extent of HRG/TGZ-induced cell death.3
When MCF-7 cells were treated with a fixed dose of HRG (100 ng/ml) with varying concentrations of TGZ, the level of HRG/TGZ-induced cell death was noticeably reduced at concentrations lower than 10 μm TGZ (supplemental Fig. 4). Previous studies showed that a higher concentration of TGZ (40 μm) is needed to achieve 30–50% of cell death in MCF-7 cells (50, 51). Meanwhile, our study found that a significantly lower concentration of TGZ (10 μm), when it is combined with HRG, was sufficient to induce 85–95% (if not all) of cell death (at 72 h post-treatment) in MCF-7 cells. Although further detailed pharmacokinetic studies are required to determine optimal doses of each of the agents, lowering the dose of PPARγ agonists would be beneficial to maximize their therapeutic potential and minimize the side effects.
The level of ErbB2 expression is also known to be correlated with HRG-induced cell death (52). However, HRG/TGZ combination induced a similar degree of cell death both in ErbB2 high (SKBR-3 and MDA-MB-453) and low expressing cells (MCF-7), suggesting that the level of ErbB2 does not play a crucial role in HRG/TGZ-induced cell death. Therefore, neither the level of ErbB2 expression nor HRG concentration seems to be the major determinant in mediating HRG/TGZ-induced cell death.
Evasion from apoptosis is common in cancer cells and remains a major obstacle to the effective treatment of breast cancer. However, apoptosis-resistant cancer cells may still remain sensitive to necrotic cell death, and diverting the mode of cell death from the apoptotic toward the necrotic is one of the promising therapeutic approaches for therapy-resistant tumors (53). Nevertheless, necrotic cell death results in the release of cellular contents, and this is often associated with inflammation and tumor growth (54, 55). Therefore, the therapeutic enhancement of necrotic cell death should be carefully weighed along with the potential adverse effects.
Our data suggest that metabolic stress is implicated in HRG/TGZ-induced cell death. In this scenario, HRG/TGZ treatment evokes metabolic stress that would promote cellular oxidative stress by increasing ROS formation. Excessive ROS leads to mitochondrial dysfunction and impairs energy metabolism, and this, in turn, further aggravates a bioenergetic crisis. As a drastic decrease in cellular energy status can switch the cell death mode from apoptosis to necrosis (56), it is possible that exaggerated energy demand by HRG/TGZ-treated cells can drive cells into necrotic cell death. Alternatively, it is possible that HRG makes breast cancer cells more susceptible to TGZ or vice versa.
With the heterogeneity of breast cancer, identification of specific combinatorial treatment is an important task to tailor the therapy best suited to the individual patient. In this regard, the combination of HRG with TGZ may provide the basis for a novel strategy in the treatment of apoptosis-resistant and/or hormone-refractory breast cancer.
Supplementary Material
Acknowledgments
We thank Drs. Hannah Rabinowich, Merrill Egorin, and Shivendra Singh for advice and discussion and Dr. Sally Morton for critical reading of this manuscript. We also thank the reviewers for constructive suggestions.
This work was supported, in whole or in part, by National Institutes of Health Grant CA140554 (to Y. J. L.). This work was also supported by Department of Defense Grant W81XWH-09-1-0350 and University of Pittsburgh Cancer Institute (to B.-C. L.).
The on-line version of this article (available at http://www.jbc.org) contains supplemental Figs. 1–4.
B.-H. Park and B.-C. Lee, unpublished results.
- HRG
- heregulin
- TGZ
- troglitazone
- Z
- benzyloxycarbonyl
- fmk
- fluoromethyl ketone
- PPAR
- peroxisome proliferators activated receptor
- NAC
- N-acetylcysteine
- ROS
- reactive oxygen species
- PPRE
- PPAR response element
- 3-MA
- 3-methyladenine
- MePyr
- methyl pyruvate
- NaPyr
- sodium pyruvate
- PI
- propidium iodide
- PARP
- poly(ADP-ribose) polymerase.
REFERENCES
- 1. Le X. F., Varela C. R., Bast R. C., Jr. (2002) Apoptosis 7, 483–491 [DOI] [PubMed] [Google Scholar]
- 2. Lupu R., Cardillo M., Cho C., Harris L., Hijazi M., Perez C., Rosenberg K., Yang D., Tang C. (1996) Breast Cancer Res. Treat. 38, 57–66 [DOI] [PubMed] [Google Scholar]
- 3. Vadlamudi R., Adam L., Tseng B., Costa L., Kumar R. (1999) Cancer Res. 59, 2843–2846 [PubMed] [Google Scholar]
- 4. Xu F., Yu Y., Le X. F., Boyer C., Mills G. B., Bast R. C., Jr. (1999) Clin. Cancer Res. 5, 3653–3660 [PubMed] [Google Scholar]
- 5. Hutcheson I. R., Knowlden J. M., Hiscox S. E., Barrow D., Gee J. M., Robertson J. F., Ellis I. O., Nicholson R. I. (2007) Breast Cancer Res. 9, R50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Atlas E., Cardillo M., Mehmi I., Zahedkargaran H., Tang C., Lupu R. (2003) Mol. Cancer Res. 1, 165–175 [PubMed] [Google Scholar]
- 7. Michalik L., Desvergne B., Wahli W. (2004) Nat. Rev. Cancer 4, 61–70 [DOI] [PubMed] [Google Scholar]
- 8. Yoshizawa K., Cioca D. P., Kawa S., Tanaka E., Kiyosawa K. (2002) Cancer 95, 2243–2251 [DOI] [PubMed] [Google Scholar]
- 9. Mueller E., Sarraf P., Tontonoz P., Evans R. M., Martin K. J., Zhang M., Fletcher C., Singer S., Spiegelman B. M. (1998) Mol. Cell 1, 465–470 [DOI] [PubMed] [Google Scholar]
- 10. Nicol C. J., Yoon M., Ward J. M., Yamashita M., Fukamachi K., Peters J. M., Gonzalez F. J. (2004) Carcinogenesis 25, 1747–1755 [DOI] [PubMed] [Google Scholar]
- 11. Mehta R. G., Williamson E., Patel M. K., Koeffler H. P. (2000) J. Natl. Cancer Inst. 92, 418–423 [DOI] [PubMed] [Google Scholar]
- 12. Sarraf P., Mueller E., Jones D., King F. J., DeAngelo D. J., Partridge J. B., Holden S. A., Chen L. B., Singer S., Fletcher C., Spiegelman B. M. (1998) Nat. Med. 4, 1046–1052 [DOI] [PubMed] [Google Scholar]
- 13. Saez E., Tontonoz P., Nelson M. C., Alvarez J. G., Ming U. T., Baird S. M., Thomazy V. A., Evans R. M. (1998) Nat. Med. 4, 1058–1061 [DOI] [PubMed] [Google Scholar]
- 14. Lefebvre A. M., Chen I., Desreumaux P., Najib J., Fruchart J. C., Geboes K., Briggs M., Heyman R., Auwerx J. (1998) Nat. Med. 4, 1053–1057 [DOI] [PubMed] [Google Scholar]
- 15. Saez E., Rosenfeld J., Livolsi A., Olson P., Lombardo E., Nelson M., Banayo E., Cardiff R. D., Izpisua-Belmonte J. C., Evans R. M. (2004) Genes Dev. 18, 528–540 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Lucarelli E., Sangiorgi L., Maini V., Lattanzi G., Marmiroli S., Reggiani M., Mordenti M., Alessandra Gobbi G., Scrimieri F., Zambon Bertoja A., Picci P. (2002) Int. J. Cancer 98, 344–351 [DOI] [PubMed] [Google Scholar]
- 17. Burstein H. J., Demetri G. D., Mueller E., Sarraf P., Spiegelman B. M., Winer E. P. (2003) Breast Cancer Res. Treat. 79, 391–397 [DOI] [PubMed] [Google Scholar]
- 18. Kulke M. H., Demetri G. D., Sharpless N. E., Ryan D. P., Shivdasani R., Clark J. S., Spiegelman B. M., Kim H., Mayer R. J., Fuchs C. S. (2002) Cancer J. 8, 395–399 [DOI] [PubMed] [Google Scholar]
- 19. Girnun G. D., Naseri E., Vafai S. B., Qu L., Szwaya J. D., Bronson R., Alberta J. A., Spiegelman B. M. (2007) Cancer Cell 11, 395–406 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Kelland L. (2007) Nat. Rev. Cancer 7, 573–584 [DOI] [PubMed] [Google Scholar]
- 21. Sirohi B., Arnedos M., Popat S., Ashley S., Nerurkar A., Walsh G., Johnston S., Smith I. E. (2008) Ann. Oncol. 19, 1847–1852 [DOI] [PubMed] [Google Scholar]
- 22. Kulms D., Pöppelmann B., Yarosh D., Luger T. A., Krutmann J., Schwarz T. (1999) Proc. Natl. Acad. Sci. U.S.A. 96, 7974–7979 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Lunardi C., Dolcino M., Peterlana D., Bason C., Navone R., Tamassia N., Tinazzi E., Beri R., Corrocher R., Puccetti A. (2007) PLoS One 2, e473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Blanchard F., Rusiniak M. E., Sharma K., Sun X., Todorov I., Castellano M. M., Gutierrez C., Baumann H., Burhans W. C. (2002) Mol. Biol. Cell 13, 1536–1549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Gawlitta D., Oomens C. W., Baaijens F. P., Bouten C. V. (2004) Cytotechnology 46, 139–150 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Han J., Hou W., Goldstein L. A., Lu C., Stolz D. B., Yin X. M., Rabinowich H. (2008) J. Biol. Chem. 283, 19665–19677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Uehara N., Matsuoka Y., Tsubura A. (2008) Mol. Cancer Res. 6, 186–193 [DOI] [PubMed] [Google Scholar]
- 28. Sun H., Berquin I. M., Edwards I. J. (2005) Cancer Res. 65, 4442–4447 [DOI] [PubMed] [Google Scholar]
- 29. Daly J. M., Olayioye M. A., Wong A. M., Neve R., Lane H. A., Maurer F. G., Hynes N. E. (1999) Oncogene 18, 3440–3451 [DOI] [PubMed] [Google Scholar]
- 30. Mackay K., Mochly-Rosen D. (1999) J. Biol. Chem. 274, 6272–6279 [DOI] [PubMed] [Google Scholar]
- 31. Martin G., Sabido O., Durand P., Levy R. (2004) Biol. Reprod. 71, 28–37 [DOI] [PubMed] [Google Scholar]
- 32. Lin M. T., Beal M. F. (2006) Nature 443, 787–795 [DOI] [PubMed] [Google Scholar]
- 33. Power C. P., Wang J. H., Manning B., Kell M. R., Aherne N. J., Aherne N. F., Wu Q. D., Redmond H. P. (2004) J. Immunol. 173, 5229–5237 [DOI] [PubMed] [Google Scholar]
- 34. Liu Z., Lenardo M. J. (2007) Dev. Cell 12, 484–485 [DOI] [PubMed] [Google Scholar]
- 35. Fung C., Lock R., Gao S., Salas E., Debnath J. (2008) Mol. Biol. Cell 19, 797–806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Scherz-Shouval R., Elazar Z. (2007) Trends Cell Biol. 17, 422–427 [DOI] [PubMed] [Google Scholar]
- 37. Kabeya Y., Mizushima N., Ueno T., Yamamoto A., Kirisako T., Noda T., Kominami E., Ohsumi Y., Yoshimori T. (2000) EMBO J. 19, 5720–5728 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Cooke M. S., Evans M. D., Dizdaroglu M., Lunec J. (2003) FASEB J. 17, 1195–1214 [DOI] [PubMed] [Google Scholar]
- 39. Krane I. M., Leder P. (1996) Oncogene 12, 1781–1788 [PubMed] [Google Scholar]
- 40. Boone J. J., Bhosle J., Tilby M. J., Hartley J. A., Hochhauser D. (2009) Mol. Cancer Ther. 8, 3015–3023 [DOI] [PubMed] [Google Scholar]
- 41. Blanquicett C., Roman J., Hart C. M. (2008) Cancer Ther. 6, 25–34 [PMC free article] [PubMed] [Google Scholar]
- 42. Lum J. J., Bauer D. E., Kong M., Harris M. H., Li C., Lindsten T., Thompson C. B. (2005) Cell 120, 237–248 [DOI] [PubMed] [Google Scholar]
- 43. Guenther G. G., Peralta E. R., Rosales K. R., Wong S. Y., Siskind L. J., Edinger A. L. (2008) Proc. Natl. Acad. Sci. U.S.A. 105, 17402–17407 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Izumi Y., Benz A. M., Katsuki H., Zorumski C. F. (1997) J. Neurosci. 17, 9448–9457 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Giandomenico A. R., Cerniglia G. E., Biaglow J. E., Stevens C. W., Koch C. J. (1997) Free Radic. Biol. Med. 23, 426–434 [DOI] [PubMed] [Google Scholar]
- 46. Salahudeen A. K., Clark E. C., Nath K. A. (1991) J. Clin. Invest. 88, 1886–1893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Le X. F., Marcelli M., McWatters A., Nan B., Mills G. B., O'Brian C. A., Bast R. C., Jr. (2001) Oncogene 20, 8258–8269 [DOI] [PubMed] [Google Scholar]
- 48. Breuleux M. (2007) Cell. Mol. Life Sci. 64, 2358–2377 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Cardillo M., Yankelevich B., Mazumder A., Lupu R. (1996) Cancer Immunol. Immunother. 43, 19–25 [DOI] [PubMed] [Google Scholar]
- 50. Yin F., Bruemmer D., Blaschke F., Hsueh W. A., Law R. E., Herle A. J. (2004) Oncogene 23, 4614–4623 [DOI] [PubMed] [Google Scholar]
- 51. Yin F., Wakino S., Liu Z., Kim S., Hsueh W. A., Collins A. R., Van Herle A. J., Law R. E. (2001) Biochem. Biophys. Res. Commun. 286, 916–922 [DOI] [PubMed] [Google Scholar]
- 52. Le X. F., McWatters A., Wiener J., Wu J. Y., Mills G. B., Bast R. C., Jr. (2000) Clin. Cancer Res. 6, 260–270 [PubMed] [Google Scholar]
- 53. Jin S., DiPaola R. S., Mathew R., White E. (2007) J. Cell Sci. 120, 379–383 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Vakkila J., Lotze M. T. (2004) Nat. Rev. Immunol. 4, 641–648 [DOI] [PubMed] [Google Scholar]
- 55. Amaravadi R. K., Thompson C. B. (2007) Clin. Cancer Res. 13, 7271–7279 [DOI] [PubMed] [Google Scholar]
- 56. Leist M., Single B., Naumann H., Fava E., Simon B., Kühnle S., Nicotera P. (1999) Exp. Cell Res. 249, 396–403 [DOI] [PubMed] [Google Scholar]
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