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Experimental Therapeutics, Molecular Targets, and Chemical Biology |
Departments of 1 Molecular Pharmacology and Experimental Therapeutics, 2 Biochemistry and Molecular Biology, 3 Cancer Center Statistics, 4 Laboratory Medicine and Pathology, and 5 Oncology, Mayo Clinic College of Medicine, Rochester, Minnesota
Requests for reprints: Charles Erlichman, Department of Oncology, Guggenheim 1311A, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905. Phone: 507-266-3200; Fax: 507-538-6290; E-mail: erlichman.charles{at}mayo.edu.
| Abstract |
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| Introduction |
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The Hsp90 chaperone machinery is dependent on ATP binding to fulfill its chaperone function (3, 4). Geldanamycin (GA) has been shown by crytallographic (5) and biochemical analyses (6, 7) to bind the Hsp90 ATP/ADP-binding domain, constraining the chaperone in its ADP-bound conformation and inhibiting its folding, trafficking, and stabilization functions (8). In this ADP-bound conformation, multiple kinases and other proteins in critical signal transduction pathways are degraded by the proteasome in response to GA treatment (9). Concomitantly, binding of Hsp90 inhibitors also induces a stress response through the release and activation of heat shock factor-1 (HSF-1; refs. 10, 11), a transcription factor that binds heat shock elements (HSE) within promoters of stress-responsive genes, such as Hsp70 and Hsp27, resulting in increased transcription and translation of these genes (12). Whereas GA has shown effective preclinical activity (13–15), observed hepatotoxicity limited its clinical development (16). However, an analogue of GA, 17-allylamino-demethoxygeldanamycin (17-AAG), has shown a favorable toxicologic profile, and several formulations of 17-AAG have completed phase 1 testing; phase 2 trials for 17-AAG are currently under way (17, 18). Because 17-AAG is not water soluble, unstable in solution, and not orally bioavailable, other Hsp90 inhibitors are being developed for clinical use. Currently, the orally bioavailable GA analogue 17-dimethylaminoethylamino-17-demethoxygeldanamycin (17-DMAG; ref. 19), as well as purine and pyrazole scaffold-based Hsp90-targeted agents, which also possess favorable characteristics, are also under development for future clinical application (20–22).
Unfortunately, data from many 17-AAG phase 1 studies indicate that, as a single agent, 17-AAG has not resulted in the predicted significant clinical activity. These data have raised the question of targeting mechanisms of intrinsic 17-AAG resistance to increase clinical response. P-glycoprotein (P-gp), a member of the ATP-binding cassette (ABC) transporter family encoded by the gene MDR1 and previously implicated in the multidrug resistance (MDR) phenotype (23), acts as an efflux pump for many common anticancer agents and ansamycin benzoquinones, such as GA and 17-AAG (24). MDR1 gene amplification in cells selected for resistance to P-gp substrates has been frequently described (25). However, it is notable that increased transcription of MDR1 after cell stress has been related to transcriptional activation at the identified HSE in the promoter region (26, 27). The potential contribution of an HSF-1–mediated stress response to 17-AAG clinical resistance has been posited by several groups (12, 28). In agreement with this premise, Hsp70 down-regulation was recently shown to sensitize cells to 17-AAG–induced apoptosis (29, 30). Subsequently, we identified the role of Hsp27 and glutathione in Hsp90 inhibitor resistance (31). This connection between the transcriptional activation of P-gp and stress-induced proteins, such as Hsp27 and Hsp70, through HSF-1 binding of HSEs prompted us to assess the relative contribution of these proteins to Hsp90-targeted therapy resistance.
In this study, we have confirmed that P-gp expression affects sensitivity to 17-AAG, although it does not prevent cells from up-regulating stress response proteins. We also show that GA analogues cause acute up-regulation of P-gp. In cells with acquired resistance to 17-AAG, we found that P-gp was possibly overexpressed due to a chromosomal duplication event. Whereas P-gp may contribute, at least in part, to 17-AAG resistance, our data indicate that Hsp27 and Hsp70 induction plays a much larger role. Knockdown of either Hsp27 or Hsp70 was sufficient to increase sensitivity to 17-AAG by as much as 10-fold and renders 17-AAG–resistant cells more sensitive to EC78, a purine-scaffold Hsp90 inhibitor that is not a P-gp substrate. Collectively, these results indicate that targeting stress-responsive proteins, such as Hsp70 and Hsp27, will be important for preventing resistance to current and future generations of Hsp90 inhibitors.
| Materials and Methods |
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Antibodies. H9010 and JJ3 mouse monoclonal antibodies recognizing Hsp90 and p23, respectively, were previously described (32, 33). The remaining antibodies were purchased from the following suppliers: peroxidase-coupled affinity-purified goat anti-mouse, goat anti-rat, and goat anti-rabbit secondary antibodies from Kirkegaard & Perry; mouse monoclonal anti-Hsp70, mouse monoclonal anti-Hsp27, and rat monoclonal anti-Hsp90 from Stressgen; rabbit polyclonal anti-Akt from Cell Signaling Technologies; mouse monoclonal anti–P-gp (C219) from Calbiochem; mouse monoclonal antiactin from Sigma; mouse monoclonal anti-BCRP from Calbiochem.
Cell culture. MCF-7, MCF-7/ADRR (34), A549, and A549 cells selected for GA resistance (A549GARS), created as described previously (31), were cultured in RPMI 1640 with 5% fetal bovine serum (FBS). KB3-1 and KB-T10 cell lines were cultured in DMEM with 10% FBS; 10 ng/mL colchicine was added to KB-T10 medium. MDA-MB-231/empty vector and MDA-MB-231/BCRP cells (35) were cultured in modified IMEM with 10% FBS. G418 (400 µg/µL) was added to MDA-MB-231/BCRP medium. All cells were supplemented with 2 mmol/L glutamine, 100 µg/mL streptomycin, and 100 units/mL penicillin.
Transfections. A549GARS cells were transfected with small interfering RNA (siRNA), as previously described (31). Briefly, cells were plated in six-well plates at a density of 5 x 105 per well and allowed to adhere for 20 to 24 h. Control siRNA #1 (400 nmol), Hsp70-specific siRNA, and/or Hsp27-specific siRNA (Dharmacon; ref. 31) were complexed with 10 µL of Lipofectamine 2000 (Invitrogen) in 0.5 mL Opti-MEM (Invitrogen) for 10 min. Cells were then incubated for 4 h with complexed lipid-siRNA, after which 1 mL of Opti-MEM containing 35% FBS was added. On the next day, cultures were washed once with serum-free medium, and fresh medium was added. Cells were trypsinized and replated for clonogenic assays or immunoblotting the next day, as described below. For MCF-7/ADRR cells, wells were coated with 5 µL of Lipofectamine RNAiMAX, 500 µL Opti-MEM, and 100 pmol siRNA. 1 x 105 cells in 2.5-mL medium was added to the well and incubated for 48 h before trypsinization.
Clonogenic assays. A549, A549GARS, KB3-1, KB-T10, or MCF-7/ADRR cells were trypsinized and plated in 60-mm tissue culture plates to a density of 1,500, 1,500, 1,000, 1,000, and 1,000 cells per plate, respectively. Cells were allowed to adhere for 22 to 24 h, and then drugs were added, as indicated, to final concentrations from 100-fold concentrated stocks. After 24-h incubation, plates were washed twice with serum-free medium, then fresh medium was added, and cells were incubated until colonies were visible. The plates were washed once with PBS and stained with Coomassie Brilliant Blue. Visible colonies were counted with 250 to 400, 250 to 300, 250 to 300, 250 to 300, and 150 to 200 colonies typical, respectively.
Immunoblotting. Cells were plated on 100-mm dishes, allowed to adhere for 22 to 24 h, and then treated as described. Cells were lifted from plates by scraping, pelleted at 250 x g for 5 min at 4°C, rinsed once with ice-cold PBS, and then lysed in lysis buffer containing 10 mmol/L HEPES (pH 7.4), 20 mmol/L sodium molybdate, 150 mmol/L KCl, 10 mmol/L MgCl2, 0.1% Nonidet P-40, 1 mmol/L Na3VO4, and protease inhibitors (complete, mini, EDTA-free, tablets; Roche). After 10-min incubation on ice, the detergent insoluble fractions were pelleted at 18,000 x g for 2 min at 4°C. Total protein concentration of supernatants was estimated by the bicinchoninic acid (BCA) method (31). For P-gp samples, cells were plated in 75-mm flasks, allowed to adhere for 22 to 24 h, and then treated as described. Adherent cells were washed twice with ice-cold PBS, harvested by scraping after adding 500 µL of 4x SDS sample buffer to flask, and then sonicated. Total protein concentration was estimated by the BCA method (31). To prepare samples for SDS-PAGE, 1/10 volume DTT was added to a final concentration of 100 mmol/L and then samples were boiled for 15 min. For all Western blots, samples containing 50 to 150 µg of total protein were separated by one-dimensional SDS-PAGE on a 10% acrylamide gel. The separated polypeptides were transferred to nitrocellulose, probed with antibodies, and visualized by enhanced chemiluminescence as previously described (31).
Immunoprecipitation. p23 immunoprecipitations were performed as follows: JJ3 antibody was rotated with Protein A Sepharose beads for 1 h at room temperature, washed thrice with 0.1 mol/L potassium phosphate (pH 8.0), washed once in cold lysis buffer, and then resuspended in one volume of lysis buffer to form antibody-bead slurry. One milligram of bead slurry-precleared protein was added to 50 µL of antibody-bead slurry and rotated overnight at 4°C. Antibody complexes were washed thrice with lysis buffer, then resuspended in one volume of 2x SDS sample buffer. Protein binding to p23 was determined by separating immunoprecipitations by SDS-PAGE, and then Western blotting for proteins was indicated.
Microarray analysis. RNA was prepared from parent and resistant A549 cells using the RNeasy Total RNA Isolation kit (QIAGEN). RNA quality assessment, probe labeling, and hybridization to the Affymetrix U133 plus 2.0 Human Genome Array Chip were performed by the Mayo Clinic Cancer Center Microarray Shared Resource. In the preliminary analysis, one array was hybridized to a sample of parent A549 and another array was hybridized to a sample of resistant A549 cells. The samples were analyzed in duplicate using chips from the same lot. These arrays were normalized using fastlo normalization (36). Gene expression values were generated from the perfect match probes of the corresponding probeset using a mixed linear model similar to that described by Chu and colleagues (37). An MvA plot was used to determine the number of genes that were statistically, significantly, and substantially, in fold-change magnitude, altered between the parent and resistant cells.
17-AAG retention. Exponentially growing parent or A549GARS cells were treated with 217 nmol/L [3H]17-AAG for 1 h at 37°C. After washing with PBS, drug-free medium was added to the cells, which were harvested immediately (0 h), or incubated for an additional 4 h at 37°C. To harvest, cells were washed thrice with room temperature 1x PBS, twice with ice-cold 1x PBS, and then resuspended in about four volumes of buffer {10 mmol/L Tris, 0.1 mmol/L EDTA (pH 7.5) plus protease inhibitors: 0.1 mmol/L leupeptin, 0.1 mg/mL bacitracin, 77 µg/mL aprotinin, 1.5 µmol/L pepstatin, and 1 mmol/L AEBSF [4-(2-aminoethyl) benzenesulfanyl fluoride]} and lysed by brief sonication. Radioactivity from the cell lysates was measured using a liquid scintillation counter. Excess unlabeled GA was used to saturate specific binding before treatment in background control flasks.
Florescence in situ hybridization. Fluorescence in situ hybridization (FISH) was performed as previously described (38). Briefly, dual-probe FISH analyses were performed on slides containing cell lines that were prepared according to established procedures in the Mayo Cytogenetics Shared Resource. A locus-specific probe was designed for MDR1 (red) and paired with a centromere probe for chromosome 7 (green). Metaphase nuclei were analyzed for both A549 and A549GARS cells.
Statistical analysis. Identification of genes with statistically significant (P < 0.05) different expression between the groups was done with a mixed linear model; the independent variables in the model were the probe values and a group status (e.g., parental versus resistant cells). Genes were ranked by smallest to largest P value. Because this was an exploratory analysis (versus a confirmatory analysis), no correction was made for multiple comparisons.
| Results |
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Because stress response proteins, such as Hsp70 are dramatically up-regulated in response to Hsp90-directed agents (12), we examined immunoblots of the lysates used for the p23 immunoprecipitation to assess Hsp70 expression after treatment with 17-AAG. Our data revealed that Hsp70 was up-regulated in response to 17-AAG in both KB3-1 cells and KB-T10 cells, both with and without VP treatment, indicating that 17-AAG stimulates the stress response in both cell types independently of P-gp function (Fig. 1D). From these data, we conclude that, whereas P-gp expression may increase the 17-AAG IC50 in cells, up-regulation of heat shock proteins indicates that some 17-AAG is still able to enter these cells and disrupt Hsp90 activity.
P-gp is up-regulated in GA-resistant cells. Because P-gp is known to contain an HSE and its production is stimulated by heat shock (26), we hypothesized that Hsp90 inhibitor treatment would cause up-regulation of P-gp. To examine this question, we treated A549 cells with 1 µmol/L GA, 1 µmol/L 17-AAG, or 1 µmol/L 17-DMAG for 24 or 48 hours. Western analysis revealed that all three Hsp90 inhibitors caused up-regulation of P-gp at both 24 and 48 hours (Fig. 2A, lanes 3–5 and 6–8 , respectively), indicating that treatment with Hsp90 inhibitors could result in P-gp–mediated resistance to those and other drugs.
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Using microarray technology, we compared differences in gene expression between A549 and A549GARS cells and found that increased gene expression for MDR1 in A549GARS (Fig. 2B) was correlated with increased protein expression by Western blotting (Fig. 2C). Interestingly, we did not observe significant differences between A549 and A549GARS cells in either mRNA or protein expression for Hsp90, BCRP, or the stress-inducible isoform of Hsp70, although Hsp27 protein expression was slightly increased. Supplementary Table S1 includes the 20 genes with the greatest mean difference (either increased or decreased) identified by differential expression analysis and ranked according to P value. However, the P values are not corrected for multiple tests and used as ranking and hypothesis generation tools only.
To further investigate possible mechanisms of MDR1 gene up-regulation in A549GARS, we chose to perform FISH analysis to compare A549 and A549GARS chromosomal differences because MDR1 is often duplicated or amplified in cells that develop resistance to various chemotherapeutics (25). In Fig. 2D, A549 cells are shown to have three full copies of chromosome 7 (green) but no evidence of duplication or amplification of MDR1 (red). However, A549GARS metaphase nuclei revealed that these cells have an extra iso(7q) chromosome resulting in an increased copy number for MDR1, although there was no evidence of amplification of MDR1 on 7q21.1 (Fig. 2D). This chromosomal abnormality may explain the increased expression of P-gp in these GA-resistant cells observed at the levels of both mRNA and protein expression (Fig. 2B and C).
In an attempt to determine if P-gp expression was causing decreased retention of 17-AAG in A549GARS cells, we loaded cells with [3H]17-AAG and then washed with drug-free medium and allowed 17-AAG to efflux over 4 hours into drug-free medium. The amount of [3H]17-AAG remaining in the cells was used as an indirect measure of drug efflux. Our data show that A549GARS had less initial drug uptake than A549 cells (Fig. 3A, black columns ) and retained proportionally less 17-AAG after 4 hours than A549 cells (white columns), consistent with A549GARS cells effluxing more drug than A549 cells. We used a 100-fold excess of unlabeled GA as a control for nonspecific binding (middle columns). These data show that A549 cells take up and retain more 17-AAG at 4 hours than A549GARS. Experiments using flow cytometry to measure the retention of daunorubicin provide additional evidence of P-gp efflux in A549GARS (Supplementary Fig. S1).
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To confirm that P-gp is not inhibiting 17-AAG disruption of Hsp90 activity, we performed a p23 immunoprecipitation in A549 and A549GARS cells after treatment. Cells were treated with vehicle (DMSO), 100 nmol/L 17-AAG, 5 µmol/L VP, or both 17-AAG and VP simultaneously, then Hsp90 binding to p23 was determined. Western analysis revealed that, whereas VP alone had no effect on Hsp90 binding to p23 (Fig. 3C, lanes 4 and 8), this binding was disrupted in both cell lines with 17-AAG treatment alone or in combination with VP (lanes 5 and 9 and 6 and 10, respectively; Fig. 3C). This is unlike KB-T10 cells, in which VP enhanced 17-AAG disruption of Hsp90-p23 binding (Fig. 1C, lane 10). Importantly, we observed no difference in p23 binding between the A549 parent cell line and the GA-resistant A549GARS. We conclude that P-gp is unlikely to contribute significantly to the 17-AAG resistance observed in A549GARS cells. Interestingly, A549 and A549GARS cells both up-regulated Hsp70 in response to 17-AAG treatment independently of VP treatment, consistent with induction of a stress response in these cells, despite P-gp expression (Fig. 3D). This raises the possibility that proteins induced during the cellular stress response mediate resistance to 17-AAG.
Knockdown of stress proteins Hsp27 or Hsp70 in GA-resistant cells increases sensitivity to 17-AAG. Previously, we showed that Hsp27 contributes to 17-AAG resistance through a glutathione-mediated mechanism (31). We also found that the effect of knockdown of Hsp27 alone or combined knockdown of Hsp27 and Hsp70 does not offer any advantage over knockdown of Hsp70 alone in cells that have not been selected for GA resistance. However, A549GARS cells have higher expression of Hsp27 than parent A549 cells (Fig. 2C) and may be more dependent on Hsp27 expression for survival after 17-AAG treatment. Consequently, we chose to examine the effect of Hsp27 and Hsp70 expression on 17-AAG cytotoxicity in A549GARS cells. Simultaneous knockdown of Hsp27 and Hsp70 with siRNA resulted in a similar IC50 as knockdown of Hsp27 or Hsp70 alone (Fig. 4A ; 228 ± 22, 235 ± 42, and 179 ± 67, respectively; control siRNA had an IC50 of 816 ± 89 nmol/L). Western blotting was performed to confirm siRNA efficacy (Fig. 4B). The similar effect of knocking down Hsp27 or Hsp70 is in striking contrast to our previous finding that Hsp27 seemed less critical than Hsp70 for survival in cells not selected for GA resistance. These data are consistent with cells chronically exposed to 17-AAG, developing resistance through up-regulation of stress-responsive proteins, particularly Hsp27.
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Knockdown of Hsp27 or Hsp70 increases sensitivity to EC78. We elected to assess whether Hsp27 and Hsp70 would affect sensitivity to non–ansamycin-based Hsp90 inhibitors. EC78 is an orally bioavailable, purine-based inhibitor of Hsp90 with both in vitro and in vivo tumoricidal activity. Importantly, EC78 sensitivity was not significantly affected by P-gp expression in cells (44). Immunoprecipitation of p23 from A549GARS cells treated with DMSO, 1 µmol/L 17-AAG, or 2 µmol/L EC78 revealed that EC78 inhibits Hsp90 binding to p23 (Fig. 6A, top ). This indicates that EC78 is an effective Hsp90 inhibitor in vitro. Notably, EC78 also caused an up-regulation of Hsp70 in a manner similar to 17-AAG (Fig. 6A, bottom). Because sensitivity to EC78 is independent of P-gp activity (44), we assessed whether knockdown of Hsp27 and Hsp70 influenced resistance to EC78. Western blotting confirmed the siRNA-induced knockdown even in the presence of EC78 (Fig. 6B). Clonogenic assays revealed that Hsp27, Hsp70, or combined Hsp27 and Hsp70 knockdown resulted in similar decreases in EC78 resistance in A549GARS cells [IC75 of 178 ± 126 nmol/L (P < 0.04), 301 ± 138 nmol/L (P < 0.07), and 299 ± 121 nmol/L (P < 0.07), respectively, compared with control siRNA IC75 of 970 ± 238 nmol/L; Fig. 6C]. These results suggest that inhibition of Hsp27 and/or Hsp70 may decrease resistance to 17-AAG, as well as new classes of Hsp90 inhibitors.
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| Discussion |
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Studies to identify resistance mechanisms to GA indicate that P-gp expression may contribute to decreased 17-AAG sensitivity. Benchekroun and colleagues first identified a potential role for P-gp in GA resistance by showing that MCF7/ADRR was 100-fold resistant to GA and treatment with the P-gp inhibitor VP increased sensitivity to GA (39). A second study by this group revealed that GA interacts with P-gp and that cells resistant to GA or ADR had decreased uptake of GA (43). Huang and colleagues reported that cyclosporine A, an inhibitor of ABC transporters, sensitized resistant cells to GA and indicated that GA may be both an inhibitor and substrate for P-gp activity (42). Studies by Radujkovic and colleagues also support the hypothesis that GA analogues can act as both substrates and inhibitors of P-gp (41). More recently, other studies have indicated that other drug transporters, such as multidrug resistance protein 1, may also be implicated in 17-AAG resistance (48).
Treatment with Hsp90-directed agents, such as 17-AAG, induces a dramatic up-regulation of stress-responsive proteins, including Hsp70 and Hsp27. Interestingly, P-gp is also induced by stress, such as heat shock, which is consistent with the discovery of an HSE promoter located in the MDR1 gene (26). We have found that treatment with GA or its analogues induces P-gp expression, likely as a result of the HSF-1–mediated cellular stress response. There are two important implications of this finding. First, when 17-AAG is combined with chemotherapeutic agents that are P-gp substrates, it would be advisable to treat in a sequence with the chemotherapeutic first followed by 17-AAG. It is of note that Munster and colleagues (49) found that Taxol followed by 17-AAG was synergistic, attributing this result to an Rb-dependent cell cycle effect. However, when 17-AAG was followed by Taxol, less apoptotic cell death occurred. Based on our results, P-gp induction by 17-AAG may contribute to this effect because Taxol is an identified P-gp substrate. The second implication of P-gp induction by 17-AAG is that chronic treatment with Hsp90-targeted agents could cause resistance to future cycles of therapy because GA can cause an MDR1 duplication event that would could lead to a more permanent MDR phenotype.
Whereas P-gp did confer GA resistance in cells selected for P-gp–mediated resistance (MCF-7/ADRR), it seems to play a minor role in cells selected for GA resistance. In contrast, stress-inducible proteins Hsp27 and Hsp70 had dramatic effects on GA resistance. Our data showed that knockdown of Hsp27 or Hsp70 alone was sufficient to reverse resistance to 17-AAG and EC78 in A549GARS, whereas inhibition of P-gp by VP was not. Furthermore, VP treatment did not contribute to reversal of resistance by Hsp27 knockdown in A549GARS, which is in contrast to MCF-7/ADRR. Although we conclude that P-gp may contribute in part to 17-AAG resistance, our data are consistent with induction of Hsp70 and Hsp27 playing a much larger role. The mechanism whereby these two proteins may contribute to resistance has been elucidated in part. Hsp70 may contribute to 17-AAG resistance by inhibiting 17-AAG–induced Bax conformational and localization change and mitochondria-initiated apoptosis (29). Schmitt and colleagues showed that inhibiting Hsp70 function by treatment with a peptide that mimics the Hsp70 binding partner apoptosis-inducing factor resulted in additive cell killing when combined with Hsp90 inhibitors (30). Subsequently, studies in our laboratory have shown that Hsp27 can contribute to 17-AAG resistance through increased glutathione synthesis (31). It is notable that Hsp27, which we previously reported to contribute to 17-AAG resistance, is found within 1 million bp of P-gp on the long arm of chromosome 7, which is duplicated in the A549GARS. This may explain the pivotal role of Hsp27 in the resistance phenotype of A547GARS. However, our data do not exclude participation of Hsp70 and Hsp27 in 17-AAG resistance through other prosurvival functions, including management of misfolded and aggregated proteins. It is important to remember that other studies using cells with acquired GA resistance suggest that more than one resistance mechanism can occur in cells chronically treated with ansamycin-based Hsp90-targeted agents (39). In particular, it remains to be determined if other stress-inducible proteins add to Hsp90 inhibitor resistance.
From our data, we conclude that induction of a stress response increases resistance to Hsp90-directed agents. This is important because this induction will likely result in limited effectiveness of single-agent Hsp90-targeted therapy, which is consistent with the results of a number of clinical trials reported to date (50). Taken together, our results would support the development of agents that target proteins involved in the stress response, such as HSF-1, Hsp27, and/or Hsp70. These new agents could be combined with Hsp90-directed therapy to inhibit the stress response induced by 17-AAG and other Hsp90-targeted therapies. Whether such a strategy will have an effective therapeutic index will necessitate the evaluation of such combinations in vivo.
| Disclosure of Potential Conflicts of Interest |
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| 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.
We thank Dr. Michael Gottesman for providing KB3-1 and KB-T10 cell lines, Dr. Doug Ross for providing the empty vector–expressing and BCRP-expressing MDA-MB-231 cells, Dr. Dominic Scudiero for providing MCF-7/ADRR cells, Drs. Scott Kaufmann and Larry Karnitz for scientific discussion, and the Mayo Cytogenetics and Microarray Shared Resources for technical assistance.
| Footnotes |
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Received 9/ 4/07. Revised 5/29/08. Accepted 7/ 8/08.
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