Abstract
AT13387, a non-geldanamycin inhibitor of heat-shock protein 90 (HSP90), was tested against the PPTP in vitro panel (1.0 nM to 10 μM) and against the PPTP in vivo panels (40 mg/kg or 60 mg/kg) administered orally twice weekly. In vitro AT13387 showed a median EC50 value of 41 nM and exhibited activity consistent with a cytotoxic effect. In vivo AT13387 induced significant differences in EFS distribution compared to controls in 17% evaluable solid tumor xenografts, but in none of the ALL xenografts. No objective tumor responses were observed. In vivo AT13387 demonstrated only modest single agent activity.
Keywords: Preclinical Testing, Developmental Therapeutics, HSP90 inhibitors
INTRODUCTION
The heat-shock protein 90 (HSP90), an evolutionarily conserved molecular chaperone is involved in regulating de novo protein folding during protein synthesis, translocation of proteins across membranes, and proteolytic turnover of important mediators of cell growth, cell differentiation, and cell survival [1]. HSP90 interacts with a number of proteins, referred to as ‘client proteins’, for the post-translational regulation, stabilization, activation, and assembly/disassembly of protein complexes [2]. HSP90 is considered to play a central role in many biological processes, including stabilization of several oncogenic proteins required to maintain the malignant phenotype [3]. HSP90 is considered to be a promising target for anti-cancer drug development because HSP90 inhibition interrupts signal transduction pathways that are essential for cell growth and survival [4].
Despite the systemic toxicities related to the first formulation, 17-allylamino-17-demethoxygeldanamycin (17-AAG, tranespimycin), the first-in-class HSP90 inhibitor, is entering into phase III clinical trials with an improved formulation. Since the discovery of 17-AAG, many HSP90 inhibitors have been identified, and 13 of them are in clinical development as single agents or in combination. Two phase I clinical trials of 17-AAG are completed in pediatric solid tumor patients [5,6]. Although drug exposures consistent with those required for anticancer activity in preclinical models were achieved, and systemic modulation of HSP90 was seen, no objective responses were reported in both studies.
Preclinical activity of 17-DMAG (alvespimycin) in cell culture and xenograft models of pediatric cancer was previously evaluated by the PPTP, in which 17-DMAG showed minimal activity against xenograft models of the majority of the pediatric cancers except alveolar rhabdomyosarcoma [7]. AT13387, structurally unrelated to geldanamycin, has high affinity for binding HSP90 (Kd = 0.5nM), and optimized pharmaceutical properties [8]. Further, AT13387 demonstrated long tumor-specific drug retention, which may allow less frequent dosing. Although having a similar target (HSP90) to geldanamycins, AT13387 is distinct from 17-DMAG, and the PPTP performed preclinical testing of AT13387 against pediatric cancers to evaluate the differences in preclinical activity of 17-DMAG.
MATERIALS AND METHODS
In vitro testing
In vitro testing was performed using DIMSCAN, as previously described [9]. Cells were incubated in the presence of AT13387 for 96 hours at concentrations from 1 nM to 10 μM and analyzed as previously described [10].
In vivo tumor growth inhibition studies
CB17SC scid−/− female mice (Taconic Farms, Germantown NY), were used to propagate subcutaneously implanted kidney/rhabdoid tumors, sarcomas (Ewing, osteosarcoma, rhabdomyosarcoma), neuroblastoma, and non-glioblastoma brain tumors, while BALB/c nu/nu mice were used for glioma models, as previously described [11,12]. Human leukemia cells were propagated by intravenous inoculation in female non-obese diabetic (NOD)/scid−/− mice as described previously [13]. Female mice were used irrespective of the patient gender from which the original tumor was derived. All mice were maintained under barrier conditions and experiments were conducted using protocols and conditions approved by the institutional animal care and use committee of the appropriate consortium member. Eight to ten mice were used in each control or treatment group. Tumor volumes (cm3) [solid tumor xenografts] or percentages of human CD45-positive [hCD45] cells [ALL xenografts] were determined as previously described [11]. Responses were determined using three activity measures as previously described [11]. An in-depth description of the analysis methods is included in the Supplemental Response Definitions section.
Statistical Methods
The exact log-rank test, as implemented using Proc StatXact for SASR, was used to compare event-free survival distributions between treatment and control groups. P-values were two-sided and were not adjusted for multiple comparisons given the exploratory nature of the studies.
Drugs and Formulation
AT13387 was provided to the Pediatric Preclinical Testing Program by Astex Therapeutics, through the Cancer Therapy Evaluation Program (NCI). Powder was stored at 4°C, protected from light. Drug was formulated in 17.5% hydroxy-propyl-β-cyclodextrin, in sterile water for injection, and made fresh prior to administration. AT13387 was administered intraperitoneally using a twice-weekly schedule for 6 weeks at a dose of 40 mg/kg, or 60 mg/kg for 3 weeks. AT13387 was provided to each consortium investigator in coded vials for blinded testing.
RESULTS
In vitro testing
The median AT13387 IC50 value (concentration inhibiting growth 50% relative to controls) for the PPTP cell lines was 41 nM, (range 14 nM - 201 nM). The ratio of the median EC50 of the entire panel to that of each cell line was calculated Table I. The median EC50 (concentration causing 50% maximum effect) for the Ewing sarcoma panel was significantly lower (p=0.015) than that of the remaining PPTP cell lines. AT13387 demonstrated an activity pattern consistent with cytotoxic activity for many of the PPTP cell lines with minimum (Ymin) T/C% values approaching 0%.
Table I.
Summary of AT13387 Activity in Vitro
Cell Line | Histotype | Relative IC50 (nM) | Absolute IC50 (nM) | Observed Ymin | Median Relative IC50 Ratio | Relative I/O |
---|---|---|---|---|---|---|
RD | Rhabdomyosarcoma | 55 | 59 | 1.0 | 0.74 | −82% |
Rh41 | Rhabdomyosarcoma | 39 | 41 | 1.4 | 1.03 | −94% |
Rh18 | Rhabdomyosarcoma | 90 | 88 | 2.2 | 0.45 | −95% |
Rh30 | Rhabdomyosarcoma | 41 | 43 | 3.4 | 1.00 | −79% |
BT-12 | Rhabdoid | 153 | 173 | 3.0 | 0.27 | −64% |
CHLA-266 | Rhabdoid | 127 | 145 | 5.9 | 0.32 | −78% |
TC-71 | Ewing sarcoma | 24 | 24 | 0.2 | 1.71 | −87% |
CHLA-9 | Ewing sarcoma | 23 | 23 | 1.2 | 1.80 | −67% |
CHLA-10 | Ewing sarcoma | 24 | 25 | 3.7 | 1.68 | −41% |
CHLA-258 | Ewing sarcoma | 16 | 16 | 0.0 | 2.62 | −100% |
GBM2 | Glioblastoma | 66 | 71 | 6.0 | 0.62 | −40% |
NB-1643 | Neuroblastoma | 41 | 50 | 7.9 | 0.99 | −63% |
NB-EBc1 | Neuroblastoma | 36 | 37 | 4.3 | 1.14 | −81% |
CHLA-90 | Neuroblastoma | 153 | 201 | 9.7 | 0.27 | −65% |
CHLA-136 | Neuroblastoma | 118 | 155 | 11.1 | 0.35 | −61% |
NALM-6 | Pre-B cell ALL | 34 | 34 | 0.8 | 1.21 | −72% |
COG-LL-317 | T-cell ALL | 14 | 14 | 0.0 | 2.89 | −99% |
RS4;11 | Pre-B cell ALL | 50 | 55 | 7.2 | 0.82 | −52% |
MOLT-4 | T-cell ALL | 36 | 38 | 0.1 | 1.12 | −99% |
CCRF-CEM | T-cell ALL | 32 | 32 | 1.0 | 1.26 | −84% |
Kasumi-1 | AML | 16 | 17 | 0.2 | 2.54 | −99% |
Karpas-299 | ALCL | 48 | 48 | 0.5 | 0.86 | −93% |
Ramos-RA1 | Burkitt Lymphoma | 41 | 41 | 0.0 | 0.99 | −100% |
Median | 41 | 41 | 1.4 | 1.00 | −81% | |
Minimum | 14 | 14 | 0.0 | 0.27 | −100% | |
Maximum | 153 | 201 | 11.1 | 2.89 | −40% |
ALCL, anaplastic large cell lymphoma.
Relative IC50 = EC50
In vivo testing
AT13387 was tested in vivo using a 40 mg/kg dose administered IP twice-weekly (Mon-Thurs) repeated weekly for 6 weeks. All 43 xenograft models studied were considered evaluable for efficacy. A complete summary of results is provided in Supplemental Table I.
AT13387 induced significant differences in EFS distribution compared to control in 6 of 35 (17%) evaluable solid tumor xenografts, Table II. AT13387 did not induce high or intermediate (EFS T/C>2) activity in any solid tumor xenografts evaluable. For the ALL panel, no xenografts showed a significant difference in EFS distribution between treated and control animals. AT13387 did not induce objective responses (PR or CR) in the PPTP solid tumor panels. The best response in the solid tumor panel was PD2 (progressive disease with growth delay), which was observed in 4 of 35 xenografts (11%).
Table II.
Summary of AT13387 Activity In Vivo
Line Description | Tumor Type | Median Time to Event | P- value | EFS T/C | Median RTV/hCD45 at end of study | Tumor Volume T/C | T/C Volume Activity | EFS Activity | Response Activity |
---|---|---|---|---|---|---|---|---|---|
40 mg/kg twice weekly x 6 | |||||||||
BT-29 | Rhabdoid | 17.3 | 0.009 | 1.6 | >4 | 0.58 | Low | Low | Int |
KT-14 | Rhabdoid | > EP | 0.206 | . | 2.1 | 0.58 | Low | NE | Int |
KT-12 | Rhabdoid | 15.8 | 0.071 | 1.8 | >4 | 0.84 | Low | Low | Int |
KT-10 | Wilms | 10.0 | 0.295 | 0.8 | >4 | 1.22 | Low | Low | Low |
KT-11 | Wilms | 11.3 | 0.134 | 0.9 | >4 | 1.21 | Low | Low | Low |
KT-13 | Wilms | 13.1 | 0.550 | 1.0 | >4 | 1.11 | Low | Low | Low |
SK-NEP-1 | Ewing | 9.7 | 0.564 | 0.9 | >4 | 1.09 | Low | Low | Low |
EW5 | Ewing | 12.8 | 0.771 | 0.6 | >4 | 0.80 | Low | Low | Low |
EW8 | Ewing | 9.2 | 0.040 | 0.7 | >4 | 1.65 | Low | Low | Low |
TC-71 | Ewing | 6.4 | 0.822 | 1.0 | >4 | 1.17 | Low | Low | Low |
CHLA258 | Ewing | 14.8 | 0.053 | 1.2 | >4 | 0.82 | Low | Low | Low |
Rh28 | ALV RMS | 17.2 | 0.993 | 1.2 | >4 | 0.82 | Low | Low | Low |
Rh30 | ALV RMS | 16.8 | 0.066 | 1.3 | >4 | 0.76 | Low | Low | Low |
Rh30R | ALV RMS | 12.7 | 0.200 | 1.1 | >4 | 0.79 | Low | Low | Low |
Rh41 | ALV RMS | 9.7 | 0.262 | 1.1 | >4 | 0.85 | Low | Low | Low |
Rh18 | EMB RMS | 9.9 | 0.258 | 1.2 | >4 | 0.85 | Low | Low | Low |
BT-28 | Medulloblastoma | 7.2 | 0.271 | 1.4 | >4 | 0.81 | Low | Low | Low |
BT-45 | Medulloblastoma | 22.5 | 0.016 | 1.4 | >4 | 0.47 | Low | Low | Low |
BT-50 | Medulloblastoma | 35.8 | 0.423 | 1.2 | >4 | 0.65 | Low | Low | Low |
BT-44 | Ependymoma | 12.2 | 0.007 | 1.4 | >4 | 0.64 | Low | Low | Low |
GBM2 | Glioblastoma | 12.7 | 0.935 | 1.0 | >4 | 1.06 | Low | Low | Low |
BT-39 | Glioblastoma | 11.8 | 0.786 | 1.0 | >4 | 0.92 | Low | Low | Low |
D645 | Glioblastoma | 13.7 | 0.267 | 1.4 | >4 | 0.67 | Low | Low | Low |
D456 | Glioblastoma | 13.8 | <0.001 | 1.7 | >4 | 0.57 | Low | Low | Int |
NB-SD | Neuroblastoma | 8.2 | 0.659 | 1.1 | >4 | 0.86 | Low | Low | Low |
NB-1771 | Neuroblastoma | 25.1 | 0.235 | 1.1 | >4 | 0.79 | Low | Low | Low |
NB-1691 | Neuroblastoma | 12.3 | 0.610 | 1.1 | >4 | 0.72 | Low | Low | Low |
NB-EBc1 | Neuroblastoma | 10.7 | 0.082 | 1.5 | >4 | 0.78 | Low | Low | Low |
NB-1643 | Neuroblastoma | 6.1 | 0.076 | 1.2 | >4 | 0.76 | Low | Low | Low |
OS-1 | Osteosarcoma | 29.7 | 0.514 | 1.5 | >4 | 0.73 | Low | Low | Low |
OS-2 | Osteosarcoma | 24.0 | 0.001 | 1.3 | >4 | 0.72 | Low | Low | Low |
OS-17 | Osteosarcoma | 16.8 | 0.582 | 1.0 | >4 | 0.97 | Low | Low | Low |
OS-9 | Osteosarcoma | 16.6 | 0.578 | 1.1 | >4 | 0.94 | Low | Low | Low |
OS-33 | Osteosarcoma | 23.9 | <0.001 | 1.3 | >4 | 0.68 | Low | Low | Low |
OS-31 | Osteosarcoma | 22.5 | 0.056 | 1.2 | >4 | 0.83 | Low | Low | Low |
ALL-2 | ALL B-precursor | 13.1 | 0.089 | 1.6 | >25 | . | Low | Int | |
ALL-3 | ALL B-precursor | 6.0 | 0.526 | 0.6 | >25 | . | Low | Low | |
ALL-4 | ALL B-precursor | 9.2 | 0.471 | 1.1 | >25 | . | Low | Low | |
ALL-7 | ALL B-precursor | 2.0 | 0.044 | 0.6 | >25 | . | Low | Low | |
ALL-8 | ALL T-cell | 5.9 | 0.069 | 1.3 | >25 | . | Low | Low | |
ALL-16 | ALL T-cell | 14.4 | 0.472 | 1.1 | >25 | . | Low | Low | |
ALL-17 | ALL B-precursor | 6.7 | 0.412 | 1.1 | >25 | . | Low | Low | |
ALL-19 | ALL B-precursor | 11.6 | 0.083 | 2.2 | >25 | . | Low | Int | |
60 mg/kg twice wekly x 6 | |||||||||
BT-29 | Rhabdoid | 16.9 | 0.021 | 1.3 | ≥4 | 0.63 | Low | Low | Low |
Rh28 | ALV RMS | 22.8 | 0.524 | 1.4 | >4 | 0.64 | Low | Low | Low |
Rh30 | ALV RMS | 21.8 | 0.879 | 1.3 | >4 | 0.94 | Low | Low | Low |
Rh18 | EMB RMS | 16.4 | 0.084 | 2.5 | >4 | 0.52 | Low | Low | Int |
OS-2 | Osteosarcoma | 2405 | 0.044 | 1.1 | >4 | 0.82 | Low | Low | Low |
OS-9 | Osteosarcoma | 18.5 | 0.062 | 1.3 | >4 | 0.81 | Low | Low | Low |
OS-31 | Osteosarcoma | 21.6 | 0.019 | 1.1 | >4 | 0.81 | Low | Low | Low |
Because of the relative lack of toxicity in the initial studies at 40 mg/kg, secondary screening against seven models was undertaken using a dose of 60 mg/kg administered twice weekly for 3 weeks. AT13387 was well tolerated with a mortality of 4.3% (3 of 70 mice). At this higher dose AT13387 produced only intermediate activity against Rh18 using response criteria (> 2-fold increase in EFST/C), but activity was low using all other criteria for the 7 tumor models evaluated, Table II, and Supplemental Table II.
DISCUSSION
AT13387 is a non-geldanamycin small molecule inhibitor of HSP90 discovered using a high-throughput x-ray craystallography fragment-based drug discovery platform, and has been shown to result in client protein degradation, suppression of signaling, and induce cell cycle arrest and apoptosis [14]. Xenograft studies of AT13387 demonstrated long tumor-specific drug retention, which may allow less frequent dosing [15]. AT13387 exhibited potent cytotoxic activity in vitro. The median EC50 values varied by histotype, from 24 nM for the Ewing sarcoma panel to 80 nM for the neuroblastoma panel. However, some cell lines, particularly those in the neuroblastoma panel, had nadir values that plateaued well above 0%, suggesting a cytostatic effect. AT13387 did not induce objective responses (PR or CR) in the PPTP solid tumor panels. The best response in the solid tumor panel was PD2 (progressive disease with growth delay), which was observed in 4 of 35 xenografts (11%), being most commonly observed in the rhabdoid tumor panel (3 of 3). No objective responses were observed in the ALL panel. However, at 40 mg/kg there was only minor toxicity (1.5% deaths in the treatment groups), hence further testing at 60 mg/kg was undertaken against selected tumors demonstrating the greatest sensitivity to AT13387 at the lower dose. At the higher dose AT13387 induced some drug-related toxicity (4.3%), but did not induce biologically meaningful responses against seven tumor models tested.
While phase I studies reported minimal single agent activity with a HSP90 inhibitor in pediatric cancer patients [5,6], moderate activity was seen in adults treated with HSP90 inhibitor(s) as single agents or in combination with other anticancer drugs. Further, HER2-positive metastatic breast cancer patients who progressed on trastuzumab may benefit from a HSP90 inhibitor [16], based on the idea of disrupting HSP90/HER-2 interaction that subsequently results in impaired downstream signaling [17]. Another example of the relevant biology supports the use of HSP90 inhibitors in combination with a tyrosine kinase inhibitor (TKI) in non-small cell lung cancer that progressed on TKI therapy [18,19]. An HSP90 inhibitor may block oncogenic switching to signaling via other receptor tyrosine kinases, shown to be a mechanism for acquired resistance to TKIs [18]. These alternative tyrosine kinases are often HSP90 client proteins that are modulated by HSP90 inhibition. Further, 17-AAG resulted in rapid degradation of EML4-ALK in vitro and transient tumor regression in a murine EML4-ALK-driven lung cancer tumor model in vivo [20]. However, AT13387 did not exert significant activity against tumor models in the PPTP panel that overexpress wildtype or mutant ALK. As single agents HSP90 inhibitors have not shown impressive activity in the PPTP models, or significant activity in pediatric clinical trials. Demonstration of significant activity of HSP90 inhibitors with targeted agents or cytotoxic agents in relevant preclinical models of pediatric cancers together with a greater understanding of molecular mechanisms of disease and resistance to anticancer therapy may enable more efficacious utilization of this class of agent.
In summary, the non-geldanamycin HSP90 inhibitor AT13387 demonstrated low activity as a single agent against solid tumor and leukemia models of the PPTP. Thus, antitumor activity of AT13387 against this panel of models is similar to alvespimycin.
Supplementary Material
Acknowledgments
This work was supported by NO1-CM-42216, CA21765, and CA108786 from the National Cancer Institute, and AT13387 was provided by Astex Therapeutics. In addition to the authors represents work contributed by the following: Sherry Ansher, Joshua Courtright, Edward Favours, Henry S. Friedman, Debbie Payne-Turner, Charles Stopford, Mayamin Tajbakhsh, Chandra Tucker, Catherine Billups, Joe Zeidner, Ellen Zhang, and Jian Zhang. Children’s Cancer Institute Australia for Medical Research is affiliated with the University of New South Wales and Sydney Children’s Hospital.
Footnotes
CONFLICT OF INTEREST STATEMENT: The authors consider that there are no actual or perceived conflicts of interest.
Reference List
- 1.Picard D. Heat-shock protein 90, a chaperone for folding and regulation. Cell Mol Life Sci. 2002;59(10):1640–1648. doi: 10.1007/PL00012491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Cullinan SB, Whitesell L. Heat shock protein 90: a unique chemotherapeutic target. Semin Oncol. 2006;33(4):457–465. doi: 10.1053/j.seminoncol.2006.04.001. [DOI] [PubMed] [Google Scholar]
- 3.Gould CM, Kannan N, Taylor SS, et al. The chaperones Hsp90 and Cdc37 mediate the maturation and stabilization of protein kinase C through a conserved PXXP motif in the C-terminal tail. J Biol Chem. 2009;284(8):4921–4935. doi: 10.1074/jbc.M808436200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kang BH, Plescia J, Dohi T, et al. Regulation of tumor cell mitochondrial homeostasis by an organelle-specific Hsp90 chaperone network. Cell. 2007;131(2):257–270. doi: 10.1016/j.cell.2007.08.028. [DOI] [PubMed] [Google Scholar]
- 5.Bagatell R, Gore L, Egorin MJ, et al. Phase I pharmacokinetic and pharmacodynamic study of 17-N-allylamino-17-demethoxygeldanamycin in pediatric patients with recurrent or refractory solid tumors: a pediatric oncology experimental therapeutics investigators consortium study. Clin Cancer Res. 2007;13(6):1783–1788. doi: 10.1158/1078-0432.CCR-06-1892. [DOI] [PubMed] [Google Scholar]
- 6.Weigel BJ, Blaney SM, Reid JM, et al. A phase I study of 17-allylaminogeldanamycin in relapsed/refractory pediatric patients with solid tumors: a Children's Oncology Group study. Clin Cancer Res. 2007;13(6):1789–1793. doi: 10.1158/1078-0432.CCR-06-2270. [DOI] [PubMed] [Google Scholar]
- 7.Smith MA, Morton CL, Phelps DA, et al. Stage 1 testing and pharmacodynamic evaluation of the HSP90 inhibitor alvespimycin (17-DMAG, KOS-1022) by the pediatric preclinical testing program. Pediatr Blood Cancer. 2008;51(1):34–41. doi: 10.1002/pbc.21508. [DOI] [PubMed] [Google Scholar]
- 8.Woodhead AJ, Angove H, Carr MG, et al. Discovery of (2,4-dihydroxy-5-isopropylphenyl)-[5-(4-methylpiperazin-1-ylmethyl)-1,3-di hydroisoindol-2-yl]methanone (AT13387), a novel inhibitor of the molecular chaperone Hsp90 by fragment based drug design. J Med Chem. 2010;53(16):5956–5969. doi: 10.1021/jm100060b. [DOI] [PubMed] [Google Scholar]
- 9.Frgala T, Kalous O, Proffitt RT, et al. A fluorescence microplate cytotoxicity assay with a 4-log dynamic range that identifies synergistic drug combinations. Mol Cancer Ther. 2007;6(3):886–897. doi: 10.1158/1535-7163.MCT-04-0331. [DOI] [PubMed] [Google Scholar]
- 10.Houghton PJ, Morton CL, Kolb EA, et al. Initial testing (stage 1) of the proteasome inhibitor bortezomib by the pediatric preclinical testing program. Pediatr Blood Cancer. 2007 doi: 10.1002/pbc.21214. [DOI] [PubMed] [Google Scholar]
- 11.Houghton PJ, Morton CL, Tucker C, et al. The pediatric preclinical testing program: Description of models and early testing results. Pediatr Blood Cancer. 2006 doi: 10.1002/pbc.21078. [DOI] [PubMed] [Google Scholar]
- 12.Keir ST, Morton CL, Billups C, et al. Initial testing of VNP40101M (Cloretazine) by the pediatric preclinical testing program. Pediatr Blood Cancer. 2008;51(3):439–441. doi: 10.1002/pbc.21620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Liem NL, Papa RA, Milross CG, et al. Characterization of childhood acute lymphoblastic leukemia xenograft models for the preclinical evaluation of new therapies. Blood. 2004;103(10):3905–3914. doi: 10.1182/blood-2003-08-2911. [DOI] [PubMed] [Google Scholar]
- 14.Lyons J, Graham B, Reule M, et al. A fragment-derived clinical candidate is active in lung cancer and melanoma models. EORTC-NCI-AACR Anual Meeting. 208(6):147. [Google Scholar]
- 15.Curry J, Angove H, Fazal L, et al. Significance of long-term pharmacodynamic actions of the HSP90 inhibitor AT13387. Proc Am Assoc Cancer Res. 2009;50:1856. [Google Scholar]
- 16.Modi S, Stopeck AT, Gordon MS, et al. Combination of trastuzumab and tanespimycin (17-AAG, KOS-953) is safe and active in trastuzumab-refractory HER-2 overexpressing breast cancer: a phase I dose-escalation study. J Clin Oncol. 2007;25(34):5410–5417. doi: 10.1200/JCO.2007.11.7960. [DOI] [PubMed] [Google Scholar]
- 17.Sidera K, Gaitanou M, Stellas D, et al. A critical role for HSP90 in cancer cell invasion involves interaction with the extracellular domain of HER-2. J Biol Chem. 2008;283(4):2031–2041. doi: 10.1074/jbc.M701803200. [DOI] [PubMed] [Google Scholar]
- 18.Pashtan I, Tsutsumi S, Wang S, et al. Targeting Hsp90 prevents escape of breast cancer cells from tyrosine kinase inhibition. Cell Cycle. 2008;7(18):2936–2941. doi: 10.4161/cc.7.18.6701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wang S, Pashtan I, Tsutsumi S, et al. Cancer cells harboring MET gene amplification activate alternative signaling pathways to escape MET inhibition but remain sensitive to Hsp90 inhibitors. Cell Cycle. 2009;8(13):2050–2056. doi: 10.4161/cc.8.13.8861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chen Z, Sasaki T, Tan X, et al. Inhibition of ALK, PI3K/MEK, and HSP90 in murine lung adenocarcinoma induced by EML4-ALK fusion oncogene. Cancer Res. 2010;70(23):9827–9836. doi: 10.1158/0008-5472.CAN-10-1671. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.