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Cell and Tumor Biology |
1 Intervention Section, Cell and Cancer Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland; 2 Department of Neuroanatomy and Cell Biology, Cajal Institute, Consejo Superior de Investigaciones Cientificas (CSIC), Madrid, Spain; and 3 Molecular Oncology Program, Department of Otolaryngology, University of Minnesota, SE Minneapolis, Minnesota
Requests for reprints: James L. Mulshine, Intervention Section, Cell and Cancer Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892. Phone: 301-402-3308; Fax: 301-435-8036; E-mail: mulshinj{at}mail.nih.gov.
| Abstract |
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and
expression in breast cancer cell lines. In the present study, we explore approaches to maximizing the proapoptotic effects of PPAR
on lung cancer cell lines. Nonsmall-cell cancer cell line A549 revealed dose-dependent PPAR
reporter activity after treatment with MK886. The addition of indomethacin in combination with MK886 further increases reporter activity. We also show increased growth inhibition and up-regulation of apoptosis after exposure to MK886 alone, or in combination with indomethacin and the PPAR ligand, 15-deoxy-
12,14-prostaglandin J2 compared with single drug exposures on the adenocarcinoma cell line A549 and small-cell cancer cell lines H345, N417, and H510. Real-time PCR analyses showed increased PPAR mRNA and retinoid X receptor (RXR)
mRNA expression after exposure to MK886 and indomethacin in a time-dependent fashion. The results suggest that the principal proapoptotic effect of these drugs may be mediated through the known antiproliferative effects of the PPAR
-RXR interaction. We therefore explored a three-drug approach to attempt to maximize this effect. The combination of low-dose MK886, ciglitazone, and 13-cis-retinoic acid interacted at least in a superadditive fashion to inhibit the growth of lung cancer cell lines A549 and H1299, suggesting that targeting PPAR
and AA action is a promising approach to lung cancer growth with a favorable therapeutic index. | Introduction |
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and
and the same cells were growth inhibited when exposed to relevant PPAR agonists.
Other groups have suggested that MK886 mediates its apoptotic effects through PPAR
induction (11, 12). A recent article by Ou et al. suggests that MK886 exerts its apoptotic action through mitochondria (13). MK886 is a potent anticancer drug in vitro and in vivo, but initial clinical studies as a single agent in asthma were disappointing (14).
PPARs are transcription factors that aside from serving as peroxisome proliferator activators also have a central role in lipid metabolism and homeostasis and function by forming heterodimers with the retinoid X receptor (RXR
; refs. 15, 16). The three PPAR subtypes (
, ß, and
) bind to particular fatty acids and their metabolites and regulate the expression of genes involved in the transport and metabolism of these lipidic metabolites within the cell. In mammals, PPAR
is highly expressed in brown adipose tissue, followed by liver, kidney, and heart. A recent study suggests that activation of rat liver PPAR
provides an antiapoptosis mechanism (17). PPARß has been shown to be expressed in all tissues studied to date (18, 19). PPAR
is most highly expressed in adipose tissue but also in muscle, colon, and liver. Activation of PPAR
through a synthetic ligand, troglitazone, and other PPAR
activators causes inhibition of proliferation and apoptosis, both in vitro and in vivo, concomitant with a reduction of bcl-2 protein expression (20). The importance of PPAR activation preventing to epithelial carcinogenesis is evident in other tumor systems (2123). In lung cancer, the PPAR ligand, ciglitazone, has been reported to up-regulate PPAR
mRNA and protein while effecting significant apoptotic and differentiation changes (24). PPARs can mediate inflammation in conjunction with elements from both AA metabolic pathways. These include leukotriene B4 (LTB4), derived from the lipoxygenase pathway, and 15-deoxy-
12,14-prostaglandin J2 (PGJ2), related to the COX pathway. PGJ2 is a PPAR
activator ligand that has been shown to counteract the effects of the proinflammatory cytokines tumor necrosis factor (TNF)
, IL-1, and IL-6 (25). Recently, PGJ2 has been shown to induce apoptosis involving oxidative stress (26).
In this article, we provide evidence regarding the interaction of the AA and PPAR pathways. This interaction provides an opportunity to develop drug combinations that maximize growth arrest and apoptosis in lung cancer (24). In addition, by using tailored drug combinations, clinical side effects may be reduced because the systemically administered dose of the drug combination is minimized. In this study, we explore drug combinations at low doses in an effort to design new therapies that may improve therapeutic index, especially in early lung cancer.
| Materials and Methods |
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, ß, and
were purchased from Santa Cruz Biotechnology, Inc. (Santa Cruz, CA). Cell lines. Cell lines used in the study were obtained from the American Type Culture Collection (Manassas, VA). They included small-cell lung cancer cell lines (SCLC) NCI-H345, NCI-N417, and NCI-H510 and nonsmall cell lung cancer (NSCLC) cell lines A549 and H1299. The cells were maintained in RPMI 1640, supplemented with 5% fetal bovine serum (FBS), in a humidified atmosphere of 95% air and 5% CO2 at 37°C. A transformed human bronchial epithelial cell line, BEAS2B (27), a kind gift from Dr. M. McMenamin (Laboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD), was maintained in serum-free bronchial epithelial medium (BEBM, Cambrex Bio Science Inc., Walkersville, MD) and supplemented following the manufacturer's recommendations.
Transient transfection and luciferase assay with peroxisome proliferatoractivated receptor response element reporter. Cells were transiently transfected with a thymidine kinase luciferase containing reporter plasmid with a PPAR response element (PPRE), TK-PPREx3-Luc [PPRE x 3 (5'-GTCGACAGGGGACCAGGACAAAGG-TCACGTTCGGGAGTCGAC, three copies], a kind gift from Dr. Ronald Evans (The Salk Institute, San Diego, CA). Cells were grown in 12-well plates at 60% confluency and cotransfected with 0.5 µg/well of TK-PPREx3-Luc construct and 0.4 µg/well of ß-Gal overnight using Lipofectin transfection reagent (Invitrogen). Different treatments were applied in serum-free medium for 24 hours. Then, relative luciferase activity was assayed with a Dual-Light reporter gene system (Tropix, Bedford, MA) following kit instructions with a Tropix TR 717 Dual injector flash luminometer (PE Biosystems, New Bedford, MA). Briefly, in 96-well whiteplates 10 µL of cell extracts are added to triplicate wells for each of three replicates for a total of nine data points per treatment. The luciferase is first assayed with the addition of kit buffer via the injection luminometer and a luciferase flash assay is done and read by the photomultiplier tube in the TR 717. Data are expressed as relative light units (RLU).
Growth studies. We used a semiautomated 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT, Promega Inc, Madison, WI) assay (living cells converts the MTT tetrazolium component into a colored formazan product). Seeding densities were 1 x 104 to 2 x 104 cells per well in Costar 3596, 96-well microtiter plates (250 µL total volume; Corning, Inc., Corning, NY). Cells were grown for specified times in serum-free medium. Experimental conditions were as previously described (9) with all experiments repeated at least thrice. In addition, an assay for 5-bromo-2'-deoxyuridine (BrdUrd) incorporation (Roche Molecular Biochemicals, Indianapolis, IN) was used to evaluate potential nonspecific effects of experimental drug on the MTT assay system. This assay was done in 96-well microtiter plates (Costar 3596, Corning). For the drug combination studies, the tumor cells were incubated for 24 hours with MK886 and/or indomethacin to ensure induction of PPAR
, then the drugs were removed and PGJ2 added for an additional period of 24 hours before termination of the assay.
Evaluation of drug interactions in binary and triple combinations. As described in a number of previously published works (2830), the isobologram method compares the efficacy of the actual drug combination to the efficacy of a theoretical additive model, assuming that the drugs used at the same concentrations as in the actual mix do not interact. The single-drug effects were determined by running a killing curve experiment for all drugs under study in a broader range (IC10-IC90) covering the IC50 range (by additive model) chosen for the drug interaction study.
The nonlinear profiles in the single drug exposure experiments were linearized by using the following function:
![]() | (1) |
The linearized single exposure data were fitted to a nonlinear regression F(C) versus C, enabling precise extrapolation between the experimental points of the single exposure experiment. The competing regression functions were assessed and the one that provides the best fit with the experimental data was chosen. In the checkerboard test, incremental dilutions of two anticancer agents were mixed together in 96-well microtiter plates so that each column (eight wells) contained the same composition. The conditions for the binary drug exposure experiment were chosen to maintain IC50 (by additive model) in all points of the isobologram. That means the combined amount of two drugs was chosen for each point to comply with this condition (to be isobolic), based on earlier derived nonlinear extrapolations. Once the amount of the first drug was increased, the amount of the second drug was decreased to provide the fixed theoretical killing efficacy. The actual experimental data were normalized by the computed additive model at each point and these normalized data were plotted in Cartesian coordinates as described in detail in refs. 2830. The theoretical additive model yields a straight line that crosses the axes X and Y in the points with the coordinates (1, 0) and (0, 1), respectively. The deviation from the straight line indicates drug interaction. The position of the experimental points above the diagonal indicates antagonism and the position below the diagonal indicates synergy. The numerical value of synergy or antagonism can be estimated from the plot by measuring the fractional inhibition coefficient (FIC) at the chosen experimental point. The FIC is computed as the sum of the abscissa and ordinate for the experimental point. The FIC for the straight line depicting the additive model is always 1. The FIC for the concave plots is <1 (the less FIC, the more synergistic is the interaction), and the FIC for the convex plots is grater than 1.
To evaluate the triple combination, the fractional inhibitory concentration index FICI (31) was computed by the equation:
![]() |
![]() | (2) |
Apoptosis analyses. To measure apoptosis, we first did immunocytochemical analysis on cytospins from untreated cells or cells treated with inhibitors utilizing a mouse monoclonal antibody M30 (Roche Molecular Biochemicals). In this assay, the antibody recognizes an epitope of cytokeratin 18 that becomes exposed only after caspase degradation. Detection of the antibody was done using a Histostain Plus kit with AEC substrate (Zymed Laboratories Inc., San Francisco, CA). To cross-validate these findings, we used the Apo-One Homogenous Caspase 3/7 assay (Promega Corporation). These assays were done in 96-well black plates with clear bottoms (Costar 3603, Corning). The drug combination assays were done as described for the proliferation experiments above.
Reverse transcription and quantitative-real time PCR. To investigate the levels of PPAR mRNA, real-time PCR was done. After treatment with the indicated drug concentrations and time points, cells were washed with PBS and total RNA was extracted using the RNeasy Mini Kit (Quiagen Inc., Valencia, CA). Total RNA (4 µg) from treated cell samples was retrotranscribed in a final volume of 25 µL using SuperScript First-Strand Synthesis system (Invitrogen) following the manufacturer's instructions. The quantitative real-time PCR reaction was run in an Opticon cycler (MJ Research, Waltham, MA) using SybrGreen PCR master mix, (Applied Biosystems, Foster City, CA) following manufacturer's instructions. Thermocycling was done in a final volume of 25 µL containing 2 µL of cDNA (1:10 dilution) and 400 nmol/L of primers: PPAR
forward 5'-ACA ACG CGA TTC GTT TTG GA-3', reverse 5'-GGC CAG AGA TTT GAG ATC TGC A-3'; PPARß forward 5'-GAG TAC GAG AAG TGT GAG CGC A-3', reverse 5'-GAG TAC GAG AAG TGT GAG CGC A-3'; PPAR
forward 5'-AGC CTC ATG AAG AGC CTT CCA-3', reverse 5'-ACC CTT GCA TCC TTC ACA AGC-3'; RXR
forward 5'-GGA AGG TTC GCT AAG CTC TTG C-3', reverse: 5'-TAA GTC ATT TGG TGC GGC G-3'; hypoxanthine phosphoribosyltransferase (HPRT) forward: 5'-ACA ATG AGC TGC GTG TGG C-3', and HPRT reverse: 5'-ACC CTT GCA TCC TTC ACA AGC-3'). All samples were amplified in triplicates using the following cycle scheme: after initial denaturation of the samples at 95°C for 2 minutes, 40 cycles of 95°C for 30 seconds, 60°C for 30 seconds, and 72°C for 45 seconds were done, fluorescence was measured in every cycle and mRNA levels were normalized by the HPRT values in all samples. A melting curve was run after PCR by increasing temperature from 50°C to 96°C (0.5°C increments). A single peak was obtained for targets, supporting the specificity of the reaction.
Immunocytochemical analyses. Tumor cell lines were seeded in six-well tissue culture plates and incubated with various inhibitors for the indicated time points. Cells were harvested and cytospins prepared. The cells were fixed in 4% formalin and stained with polyclonal antibodies to PPARs using the Histostain plus kit as above.
Statistical evaluation. Statistical significance of differences between samples (with a minimum of six wells per sample) was determined using unpaired Student's t test in Excel. P < 0.05 was regarded as statistically significant.
| Results |
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reporter activity and enhance growth reduction. To further explore the relevance of the observation on PPAR up-regulation after MK886 drug exposure as previously published (10), we used a PPAR
reporter construct in the lung cancer cell line, A549. We did two separate experiments evaluating exposure to 0.5 to 2.0 µmol/L MK886. PPAR
reporter activity was significantly increased after exposure to 1 or 2 µmol/L MK886 in a dose-dependent manner and is expressed in RLU (Fig. 1A). As observed in Fig. 1B, the exposure of lung cancer cells to either 2 µmol/L MK886 or 10 µmol/L indomethacin increased reporter activity. When the two drugs were combined, a higher reporter activity was observed when compared with treatment with individual drugs.
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agonist, ciglitazone, was associated with a significant growth inhibitory effect for cell line A549 and N417 but not for H345 (Table 1). We were particularly interested in drug effects on A549 because this is an adenocarcinoma that is the dominant form of lung cancer seen today clinically. Figure 1C shows representative growth curves for cell line A549 exposed to increasing doses of MK886 and PGJ2, as measured by the MTT assay. Both drugs inhibited growth in a dose-dependent manner, with maximum growth inhibition occurring at 4 µmol/L (P < 0.05).
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reporter assay, we did sequential treatments. The AA inhibitors were added first for 24 hours because we have previously shown that this induced expression of PPAR
, and then we added the PPAR
ligand, PGJ2. In these combination experiments, we used MK886 and PGJ2 drug concentrations that were less than optimally inhibitory to be able to observe drug combination effects more readily. NSCLC cell line A549 was treated with 0.5 µmol/L MK886, 10 µmol/L indomethacin, and a combination of the inhibitors for 24 hours. When a low concentration of 0.5 µmol/L PGJ2 was applied for another 24 hours (a dose of PGJ2 that by itself has minimal growth inhibitory effect using the MTT assay), growth was reduced when compared with either drug alone (P < 0.05; Fig. 1D). This growth inhibition was confirmed by a decrease in DNA synthesis (Fig. 1E), and these results are consistent with a PPAR
-mediated growth effect. Exposure to inhibitor combinations induces apoptosis through caspase activation. We next evaluated whether an apoptotic pathway was involved in the growth inhibitory response to the inhibitors and ligands. Using an immunocytochemical assay with an antibody (M30) for the detection of a caspase cleavage product of cytokeratin 18, we evaluated the effects of MK886, indomethacin, and PGJ2 in this early event of the caspase cascade. The results of these experiments are shown for cell line A549 (Fig. 2A). MK886 induced 25% apoptosis at a concentration of 0.5 µmol/L, whereas neither indomethacin nor PGJ2 had a significant effect by themselves. When the drugs were combined, we observed an increase in apoptotic cells by 50% with the combination of MK886, indomethacin, and PGJ2.
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MK886 regulates peroxisome proliferatoractivated receptor
and retinoid X receptor
mRNA expression levels over time. The proapoptotic effect of PPAR
is thought to require binding to retinoic acid receptor to form a heteroduplex that is transcriptionally active. A549 cells were cultured in the presence of 1.0 µmol/L MK886 for 6, 12, and 24 hours and analyzed by real-time PCR for subsequent changes in the PPAR
and RXR
mRNA expression levels relative to an untreated control (Fig. 3A). We observed a 1.4-fold increase in PPAR
after 6 hours treatment with MK886, with a maximum of 1.8-fold increase at 12 hours. PPAR
mRNA levels declined below baseline levels by 24 hours. A similar pattern was observed with PPAR
(data not shown). A maximum up-regulation of RXR
mRNA was observed as early as 6 hours. Induction was still elevated at 12 hours, then returned to baseline levels by 24 hours.
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and peroxisome proliferatoractivated receptor
, ß, and
mRNA expression levels after exposure to MK886 and/or indomethacin. We then looked at the mRNA expression pattern after combination of MK886 and indomethacin (Fig. 3B). These results show that MK886 augmented RXR
and PPAR
expression in a dose-dependent fashion. In contrast, indomethacin under these conditions had no effect on the expression of either gene. A combination of 2.0 µmol/L MK886 and indomethacin up-regulated RXR
, but not PPAR
(Fig. 3B). In other experiments, we evaluated the effect of MK886 and indomethacin on all the isoforms of PPAR (
, ß, and
). As shown in Fig. 3C, MK886 increased PPAR
, ß, and
, but the addition of indomethacin had no additional effect on PPAR
expression, although it slightly elevated
and ß. A combination of the two drugs showed a slight increase in expression of all PPAR mRNAs.
Treatment with inhibitors on lung cancer cell lines causes nuclear translocation of peroxisome proliferatoractivated receptor
. In light of the mRNA induction results, we wanted to determine if there is a difference in the protein distribution after treatment with the inhibitors. We did immunocytochemical experiments using polyclonal antibodies against the three different PPARs on two cell lines, NSCLC A549 and SCLC H345 (Table 2). We observed in A549 that treatment with MK886, indomethacin, or a combination of both drugs for 12 hours, induced a translocation of the PPAR
protein from the cytoplasm to the nucleus, whereas PGJ2 did not change its distribution. The protein distribution of PPARs in untreated cells seems to be cell line dependent, being mainly cytoplasmic in NSCLC cell line A549 and nuclear in SCLC cell line H345. The levels of protein expression were consistent with the results of the mRNA expression experiment with the drug combination of MK886 and indomethacin resulting in elevated PPAR
immunoreactivity in the cell line, A549. To confirm these findings, we did earlier time point studies (Fig. 4), and again observed that PPAR
immunoreactivity is localized in the cytoplasm at baseline but moves into the nucleus in some cells at the lower MK886 dose at 1 hour. The timing of the first morphologic evidence of apoptosis after MK886 exposure was quite rapid; by 2 hours there is both strong nuclear expression of PPAR
as well as overt evidence of nuclear condensation and blebbing in the A549 cells (Fig. 4). This observed translocation may be additional evidence of PPAR activation and induction of apoptosis because the recruitment of PPAR to the nucleus is needed for its downstream effects.
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. Because RXR
is the known transcriptional partner of PPAR
, we evaluated whether the addition of a retinoid may further enhance the apoptotic/growth inhibitory effect. An earlier report suggested that PPAR
transcription could be enhanced by a PPAR agonist in nonsmall cell lung cancer (24). For these experiments, we evaluated a panel of PPAR
ligands, and ciglitazone was the most potent. The drug combinations with MK886, ciglitazone, and 13-cis-RA was evaluated in A549 cells and BEAS2b cells. The cell line BEAS2b is a transformed bronchial epithelial cell line that does not exhibit fully invasive phenotype and was used as a surrogate of evolving cancer. As shown in Fig. 5A and C, a profound growth inhibitory effect was observed with the three drug combinations on both cell lines with drug combinations of 0.5 µmol/L MK886, 1.0 µmol/L ciglitazone, and 1.0 µmol/L 13-cis-RA for both cell lines. To reduce potential adverse drug effects, the drug concentrations were all reduced (Fig. 5B and D), and under these conditions, the combined drugs still resulted in superadditive growth inhibition. To confirm that these observations were not unique for cell line A549, we explored these low-drug combinations on another NSCLC cell line, H1299 with similar results (Fig. 5E).
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| Discussion |
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The COX inhibitor indomethacin had little in vitro effect on lung cancer cell line growth as we previously reported for breast cancer cell line growth even at high concentrations (>1040 µmol/L; refs. 7, 40). This contrasts with other findings in the literature, although doses >10 µmol/L were used in those other studies (41, 42). In the present study, we confirmed that indomethacin did not inhibit growth or induce apoptosis when tested on lung tumor cell lines. However, we have previously reported that in vitro results may not predict for in vivo activity (7, 43). Hence, these data do not exclude an important in vivo contribution of COX activity especially in combination with other drugs recruiting PPAR
activity. We have found that MK886 in combination with indomethacin increased PPAR
reporter activity. However, for the purposes of this in vitro study, we investigated the drug combinations that may enhance cancer cell killing. Indomethacin, when coincubated with low concentrations of MK886, did not significantly inhibit growth. These two drugs are structurally similar, both being indole acetic acid derivates (11). The growth inhibition was confirmed by a decrease in DNA synthesis and induction of early apoptosis as measured by caspase activity, indicating that blocking both arms of AA metabolism may have important effects on growth regulation.
Recently, induction of apoptosis in response to PPAR
and
activation has been reported in a variety of normal and neoplastic cells (11, 19). In our previous study with breast cancer cells, a 5-lipoxygenase inhibitor up-regulated PPAR
and
expression, and the growth of these cells was inhibited upon exposure to relevant PPAR agonists (10). To evaluate whether the PPAR up-regulation contributed to the growth inhibition and apoptotic effect induced by the combination of MK886 and indomethacin, we exposed lung cancer cell lines to the inhibitors alone and then to a PPAR ligand. The combined drug exposure resulted in significantly less growth and increased proapoptotic activity than were seen with the individual exposures alone. Therefore, the increased antiproliferative effects of combination drug exposure may relate to the observed increase in PPAR
message. In A549, both MK886 and indomethacin induced the expression of PPAR
above control. Both PGJ2 and ciglitazone alone, but not LY 171883 or the PPAR
ligand, WY 14643, had potent growth inhibitory effect on all or most of the lung cancer cell lines tested.
Protein expression of the PPARs in the lung cancer cell lines generally correlated with the mRNA studies, with all tested drugs elevating the levels of PPAR
in cell line A549, except for PGJ2. For the final combination experiments, we did not use PGJ2 because this ligand is not available clinically; it has been reported to exhibit complex drug effects (44, 45), and PGJ2 also had minimal effects in our experience with inducing PPAR protein expression. We used ciglitazone for our lead PPAR ligand because it was the most potent of the PPAR
agonists tested and it had the most significant growth inhibitory effect in combination with MK886 in the in vitro assays. We also selected to work with ciglitazone for our subsequent combination experiments rather than indomethacin because ciglitazone was consistently more potent than indomethacin.
For the reminder of our analysis, we focused on strategies to maximize the growth inhibitory effect of PPAR
on NSCLC. We evaluated the combinations of MK886, ciglitazone, plus 13-cis-RA, formally evaluating the nature of the interaction of these drugs. The most potent effect was observed with the combination of MK886, 13-cis-RA, and ciglitazone at doses of 0.8, 2.0, and 0.25 µmol/L, respectively. At these doses, the interaction of these drugs is a superadditive growth inhibitory effect (31).
A superadditivity effect was originally reported with the optimal interaction of RXR
-PPAR
heterodimers (46). In a recent report, the combinations of three inhibitors have been tested, combining PPAR
, and RXR
ligands with the proteosome inhibitor MG132 or MG262 (47). Triple drug combinations caused an increase in the luciferase PPRE activation as compared with the dual combination of PPAR
and RXR
ligands (47). These authors suggest that this accumulation can be attributed to the impaired proteosomal degradation of the heterodimer components. The RXR and PPAR ligand combination results for lung cancer are also consistent with the earlier published results for leukemia and breast cancer, showing enhanced therapeutic benefit (48, 49).
The use of a drug combination approach in reducing drug toxicity is a critical issue in considering drug therapy in the setting of early lung cancer because the doses required for superadditive growth inhibition are modest as previously suggested (24). The recent success with chemotherapy trials suggesting a benefit to adjuvant therapy for early lung cancer heightens the need for identifying effective drug combinations with a favorable therapeutic index for early lung cancer. If this approach is successful in vivo, this combination would also be appealing to try in chemoprevention settings (50, 51). Because drug therapy becomes more tailored to the particular requirement of early lung cancer, the feasibility of locally delivering drug combinations as an integrated aerosol drug construct emerges as a strategy to further optimize therapeutic index (52).
In summary, whereas biochemical inhibitors of AA metabolism and PPAR ligands differ in their ability to inhibit growth and stimulate apoptosis in lung cancer cell lines, combinations of these agents result in at least superadditive inhibition of growth and induction of apoptosis. Further investigation into the mechanistic basis and formal analysis of these drug interactions needs to be conducted for the development of these approaches. Nevertheless, our study provides a framework for considering rationally designed drug combinations based on modulating the proapoptotic activity of PPAR
for lung cancer drug therapy.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 9/22/04. Revised 2/16/05. Accepted 3/ 3/05.
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