Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
    • CME
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Clinical Cancer Research
Clinical Cancer Research
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
    • CME
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Cancer Therapy: Preclinical

NMS-E973, a Novel Synthetic Inhibitor of Hsp90 with Activity against Multiple Models of Drug Resistance to Targeted Agents, Including Intracranial Metastases

Gianpaolo Fogliatto, Laura Gianellini, Maria G. Brasca, Elena Casale, Dario Ballinari, Marina Ciomei, Anna Degrassi, Anna De Ponti, Massimiliano Germani, Marco Guanci, Mauro Paolucci, Paolo Polucci, Micaela Russo, Francesco Sola, Barbara Valsasina, Carlo Visco, Fabio Zuccotto, Daniele Donati, Eduard Felder, Enrico Pesenti, Arturo Galvani, Sergio Mantegani and Antonella Isacchi
Gianpaolo Fogliatto
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Gianellini
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maria G. Brasca
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elena Casale
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dario Ballinari
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marina Ciomei
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna Degrassi
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna De Ponti
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Massimiliano Germani
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marco Guanci
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mauro Paolucci
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paolo Polucci
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Micaela Russo
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francesco Sola
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barbara Valsasina
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carlo Visco
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fabio Zuccotto
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniele Donati
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eduard Felder
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Enrico Pesenti
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arturo Galvani
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sergio Mantegani
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Antonella Isacchi
1Nerviano Medical Sciences S.r.l. and 2Accelera S.r.l., Nerviano (MI), Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1078-0432.CCR-12-3512 Published July 2013
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Purpose: Recent developments of second generation Hsp90 inhibitors suggested a potential for development of this class of molecules also in tumors that have become resistant to molecular targeted agents. Disease progression is often due to brain metastases, sometimes related to insufficient drug concentrations within the brain. Our objective was to identify and characterize a novel inhibitor of Hsp90 able to cross the blood–brain barrier (BBB).

Experimental Design: Here is described a detailed biochemical and crystallographic characterization of NMS-E973. Mechanism-based anticancer activity was described in cell models, including models of resistance to kinase inhibitors. Pharmacokinetics properties were followed in plasma, tumor, liver, and brain. In vivo activity and pharmacodynamics, as well as the pharmacokinetic/pharmacodynamic relationships, were evaluated in xenografts, including an intracranially implanted melanoma model.

Results: NMS-E973, representative of a novel isoxazole-derived class of Hsp90 inhibitors, binds Hsp90α with subnanomolar affinity and high selectivity towards kinases, as well as other ATPases. It possesses potent antiproliferative activity against tumor cell lines and a favorable pharmacokinetic profile, with selective retention in tumor tissue and ability to cross the BBB. NMS-E973 induces tumor shrinkage in different human tumor xenografts, and is highly active in models of resistance to kinase inhibitors. Moreover, consistent with its brain penetration, NMS-E973 is active also in an intracranially implanted melanoma model.

Conclusions: Overall, the efficacy profile of NMS-E973 suggests a potential for development in different clinical settings, including tumors that have become resistant to molecular targeted agents, particularly in cases of tumors which reside beyond the BBB. Clin Cancer Res; 19(13); 3520–32. ©2013 AACR.

This article is featured in Highlights of This Issue, p. 3329

Translational Relevance

The clinical benefit observed with drugs targeting oncogenic kinases is very often transient due to the appearance of resistance linked to secondary mutations in the target molecules, or to the activation of parallel pathways. Also, brain metastases lead to the progression of the disease when drugs do not reach the tumor site due to the presence of the BBB.

This study presents original data on the biochemical and biologic characterization of NMS-E973, a novel second generation inhibitor of Hsp90. This nonansamycin compound has antitumor efficacy against a broad range of preclinical tumor models, including models of resistance to some recently approved kinase inhibitors such as vemurafenib and crizotinib. Furthermore, NMS-E973 shows antitumor activity against intracranially implanted tumor xenografts, consistent with its ability to penetrate the BBB. This feature highlights the potential of this new class of molecules with the ability to gain access to the brain, as the most advanced inhibitors of Hsp90 are not brain permeable.

Introduction

The molecular chaperone Hsp90 is essential for the conformational stability and activity of many key oncogenic proteins, including kinases such as ErbB2, B-Raf, Alk, Flt3, EGFR, RET, KIT, PDGFR, MET, AKT but also transcription factors, telomerase, and other proteins that participate in the activation of the several biologic pathways whose dysfunctional activation have been collectively described as constituting the hallmark traits of cancer (1). On the basis of this mechanism of action it is possible, by using a specific inhibitor of Hsp90, to induce the degradation of diverse client proteins and as a consequence to achieve a parallel block of multiple signaling pathways that results in cell death and inhibition of the growth of a broad range of tumors, as already described in several preclinical studies (2).

For these reasons, Hsp90 emerged in the last decade as a major therapeutic target and a great deal of efforts have been dedicated to the discovery of inhibitors, some of them currently under clinical evaluation (3). After the identification of the initial Hsp90 inhibitors, in particular 17-AAG and other semisynthetic ansamycin derivatives such as retaspimycin (4), a new group of fully synthetic second-generation inhibitors were developed with improved preclinical efficacy and “drug-likeness”.

Among the most advanced compounds, retaspimycin and the second-generation representative ganetespib have shown significant clinical benefit, measured as RECIST-based partial responses at tolerated dosing regimens in Alk-driven NSCLC and ErbB2-positive breast cancers, as single agents, or in combination with trastuzumab (5–7). The most frequent clinical toxicities described so far are hepatic for 17-AAG and its derivatives (6), gastrointestinal and ocular for many second-generation inhibitors (3), reported to be dependent on the schedule of administration and on the tissue distribution of the molecule (8).

The clinical benefit observed with drugs targeting oncogenic kinases, such as the recently approved crizotinib (for Alk) and vemurafenib (for B-Raf), is very often transient due to the appearance of resistance linked to secondary mutations in the target molecules (9), to the activation of parallel pathways such as EGFR and C-Raf signaling (10–13), as well as to the intrinsic heterogeneity of the tumors. Also, in a relevant number of Alk-related cases, disease progression due to brain metastases is suggested to be related to insufficient concentrations of the drug within the brain (14). The high dependency on Hsp90 of Alk and B-Raf kinases, as well as of other kinases that are drivers of escape pathways, provides an additional mechanism to prevent and/or overcome resistance.

Here, we describe a novel potent and selective Hsp90 inhibitor, the isoxazole derivative NMS-E973, with antitumor efficacy against a broad range of preclinical tumor models, including tumors resistant to vemurafenib. Its very favorable features in terms of biochemical and cellular potency, broad efficacy spectrum, tumor retention, and BBB penetration suggest a potential for clinical development also as second line treatment in tumors that have become resistant to molecular-targeted agents, also in the presence of brain metastases as proven by the activity obtained in an intracranial tumor model.

Materials and Methods

Reagents and chemicals

NMS-E973, 5-[2,4-Dihydroxy-6-(4-nitrophenoxy)phenyl]-N-(1-methylpiperidin-4-yl)-isoxazole-3-carboxamide was synthesized at Nerviano Medical Sciences S.r.l. laboratories. The synthesis has been previously reported (WO 2010/121963). NMS-E973 and other reference Hsp90 inhibitors were synthesized in house.

Hsp90 binding and selectivity assays

The recombinant proteins have been expressed as His-tagged versions of the human Hsp90 (full length for assays and a.a. 9–236 for structure determination), human Grp94 ATPase domain (a.a. 69–337), and human Trap1 (a.a. 26-end), following the published conditions (15–17). Briefly, they have been expressed in Escherichia coli BL21(DE3) at 18°C for 16 hours, then the soluble proteins were purified by affinity chromatography on a Ni-Sepharose column (GE Healthcare). After the overnight cleavage of the hexahistidine tag by the site-specific protease PreScission (GE Healthcare), the final purification was achieved by size exclusion chromatography (Superdex 200, GE Healthcare), and the proteins were stored in PBS buffer containing 10% glycerol and 0.1 mmol/L EDTA.

A commercially available FITC-Geldanamycin (InvivoGen) was used as probe in a fluorescence polarization assay, after its reduction as described elsewhere (18).

For competition experiments, a protein concentration of 5 nmol/L for Hsp90 and of 200 nmol/L for Trap1 were mixed with 0.5 nmol/L probe (final concentrations). After incubation, the dimethyl sulfoxide (DMSO) compound solution was added to the mixture. The plate was incubated for 18 hours at room temperature and then the fluorescence polarization signal was measured. Data were fitted with the program Dynafit version 3.28.039 (BioKin Ltd) or SigmaPlot (SSI) using the mathematical equation for competitive binding of 2 ligands to the receptor (19).

We synthesized a Grp94 binding probe in house by coupling NMS-E973 to the fluorophore Atto-610 (Atto-Tec GmbH). For competition experiments, Grp94 was mixed to the probe at a final concentration of 50 and 20 nmol/L respectively.

Fluorescence polarization displacement assay for Hsc70-FL was set up using a commercially available probe N6-6-amino-Hexyl-EDA-ATTO-590-ATP (JenaBioScience).

Determination of NMS-E973 binding kinetics to Hsp90 was conducted using Biacore T100 with the approach of the kinetic titration as previously described (20). The data were fitted using the 1:1 kinetic titration model of BIAevaluation software.

NMS-E973 was tested against a panel of 52 diverse kinases as previously described (21). The following in house produced kinases were tested: ABL, ACK1, AKT1, Alk, AUR1, AUR2, BRK, CDC7, CDK2/CYCA, CHK1, CK2alpha/beta, eEF2K, EGFR1, ERK2, FAK, FGFR1, Flt3, GSK3beta, Haspin V473-K798, IGFR1, IKK2, IR, JAK 1, JAK2, JAK 3, KIT, LCK, MELK, MET, MK2, MPS1, MST4, NEK6, NIM, P38alpha, PAK4, PDGFRb, PDK1, PERK, PIM1, PIM2, PKAalpha, PKCbetaII, PLK1, RET, SULU1, SYK, TRKA, TYK 2, VEGFR2, VEGFR3, ZAP70.

Crystallography

Crystallization studies were conducted using the N-terminal domain of Hsp90α (a.a. 9–236). Crystals of the N-terminal domain of Hsp90 in complex with NMS-E973 were grown using the hanging-drop vapor diffusion method from a solution of 20% MPEG 2000K, 0.2 mol/L magnesium chloride, 0.1 mol/L Cacodylate, pH 6.5, at 4°C. The protein was concentrated at 25 mg/mL and compound was added to a final concentration of 2 mmol/L. For data collection, the crystals were transferred to drops containing the equivalent mother liquor with 25% glycerol. Diffraction data were collected at the ESRF (Grenoble, France) on beamline ID23-2. Data were processed using the HKL package (22). The space group is P21. Model building was done using Coot (23) and refinement was done with RefMac (24). The coordinates have been deposited in the Protein Data Bank with code 4b7p together with structure factors and detailed experimental conditions.

Cell culture

Human cancer cell lines were obtained either from the American Type Culture Collection (ATCC) or from the European Collection of Cell Culture. Cells were maintained in the media at serum concentrations recommended by the suppliers in a humidified 37°C incubator with 5% CO2.

Cell line authentication

All cell lines were profiled using DNA fingerprinting technology (AmpFlSTR Identifiler Plus PCR Amplification kit, Applied Biosystems) according to the manufacturer's protocol. The kit amplifies simultaneously 15 tetranucleotide repeated loci and the amelogenin gender marker in a single assay. The short tandem repeat profiles of the analyzed cell lines were compared with DNA fingerprinting databases (e.g., ATCC and DMSZ). All the analyzed profiles showed a similarity more than 80%. In accord with many published studies (25, 26), this is the suggested threshold to declare the correspondence between the examined cell line and the external reference. All cell lines are routinely confirmed at 6-month intervals.

Cell proliferation assay

Exponentially growing cells were seeded in complete medium in a 384-well plate format. Twenty-four hours after seeding, cells were treated with compounds dissolved in 0.1% DMSO, at different concentrations. The cells were incubated at 37°C and 5% CO2 and at the end of treatment time, the plates were processed using Cell Titer-Glo assay (Promega) following the manufacturer's instruction. CellTiter-Glo is a homogenous method based on the quantification of the ATP present, an indicator of metabolically active cells. Briefly, 25 μL reagent solution is added to each well and after 5 minutes of shaking the microplates, the luminescent signal is read by Envision (PerkinElmer) luminometer. Inhibitory activity was evaluated comparing treated versus control data using sigmoidal equation on Assay Explorer (Symix) program.

For combination assays, NMS-E973 and drug solutions, prepared immediately before use, were added to the cells in scalar doses, in 7 point dose–response curves at constant ratios, using a separate pipetting step for each drug. When sequential, rather than simultaneous combinations were studied, the first drug was added to culture 24 hours after cell seeding, and the second drug 48 hours after seeding (i.e. at time = 24 hours). At time = 72 hours, cells were lysed using 50 μL/well of Cell Titer-Glo reagent solution (Promega).

The data were expressed as percentage of viability versus DMSO controls and analyzed using a proprietary software (Beremiz) according to the Chou Talalay equation (27). Combination indices (CI) were calculated for mutually nonexclusive drugs where a CI <0.3 indicates strong synergism; 0.3–0.8 synergism, 0.8–1.2 additivity; 1.3–3 antagonism; and >3 strong antagonism.

Cell-based assays

The mechanism of action of the compound was investigated using cell lines treated for 24 hours with compounds at the indicated concentration of DMSO as control. Client protein degradation was determined by Western blot analysis, using DMSO as a control. Immunoblotting was done according to standard procedures (28) and using the following antibodies: anti-Hsp70, anti-Hsp90 (Enzo Life Sciences), anti-Flt3, anti-B-Raf, anti-PARP1, anti-EGFR (Santa Cruz Biotechnology), anti-ERK, anti-pThr201/204 ERK, anti-Akt, anti-pSer473 Akt, anti-pTyr1068 EGFR, anti-STAT5, anti-pTyr694 STAT5, anti-C-Raf, Mek1/2, anti-pSer217/221 Mek1/2, anti-S6, anti-pSer240/244 S6, anti-cleaved Caspase3, anti-pThr199 NPM (Cell Signaling); anti-Histone H3 (Millipore). The SuperSignal Chemiluminescence Kit (Pierce) was used for detection.

Human xenograft models and antitumor efficacy studies

All procedures adopted for housing and handling of animals were in strict compliance with European and Italian Guidelines for Laboratory Animal Welfare. A total of 3 × 106 A375 or A2780 cells were transplanted subcutaneously in athymic nu/nu mice (Harlan). Mice bearing a minimal tumor mass (130–180 mm3) were randomized into vehicle and treated groups made of 7 animals each unless differently stated. Intravenous treatments started the day after randomization, with different schedules as described. Tumor dimensions were measured regularly using Vernier calipers and tumor volume was calculated according to the following formula: length (mm) × width2 (mm)/2.

The percentage of tumor growth inhibition (%TGI) was calculated as follows: Embedded Image

Toxicity was evaluated on the basis of body weight reduction. At the end of the experiment, mice were sacrificed and gross autopsy findings were reported. Tumor-free animals at 90 days after tumor implant were considered cured.

For the leukemia studies, female severe combined immunodeficient (SCID) mice (Harlan) were used. Animals were exposed to γ-irradiation, 200 Rads of whole body gamma-irradiation, within 24 hours of injection of cells. To obtain growth as a solid tumor, 5 × 106 MOLM-13 cells were injected subcutaneously and treatment initiated when tumor size reached 130 to 200 mm3. Tumor dimensions were monitored during the experiment and TGI was assessed as described above. In the case of disseminated model, 10 mice were injected intravenously with 5 × 106 MOLM-13 cells and treatment was initiated after 2 days. Mice were monitored daily for clinical signs of disease and deaths were recorded for calculation of the median survival time.

A pharmacokinetic and pharmacodynamic approach, based on a previously published model (29, 30) was applied to the efficacy data of NMS-E973. This model links the dosing regimen to the tumor growth dynamics independently from the schedule and levels of dose. A quantitative estimate of the drug potency is assessed through the parameters k2, the proportionality factor linking the plasma concentration to the effect, and CT, which provides an estimate of the steady-state drug concentration in plasma (Css) to be maintained for observing tumor stabilization.

Pharmacokinetics

The pharmacokinetics of NMS-E973 was investigated in an ancillary group of 3 tumor-bearing mice. Blood samples for the pharmacokinetic assessment were collected, and the drug was assayed in plasma using liquid chromatography/tandem mass spectrometry techniques (29). The pharmacokinetics of NMS-E973 was evaluated using a 2 compartment model after single intravenous administration of 10 mg/Kg.

Data analysis

Winnonlin Program (Pharsight) was used both for compartmental pharmacokinetic and pharmacokinetic/pharmacodynamic analysis. Parameters were estimated by using weighted nonlinear least squares (with weight 1/y2observed).

In vivo imaging of A375-LUC intracranially implanted

Intracranial model.

Balb/c male nude mice, aged 6 to 8 weeks, were anesthetized and stereotactically implanted in the caudate nuclei region with 1 × 105 melanoma A375-LUC cells in 2 μL. With a microdrill, a small hole was done at the chosen coordinates and cells were injected at the speed of 1 μL every minute. Hole was closed using bone wax and the wound with sterile autoclips. After the end of surgery, mice were monitored for recovery until complete wakening.

Bioluminescence imaging.

Twelve animals were imaged with an IVIS Lumina device (Xenogen, CaliperLS). After intraperitoneal injection of d-luciferin (150 mg/Kg), animals were anesthetized in 2% to 3% isoflurane atmosphere and 10 minutes after injection of luciferin, mice were imaged. Images were analyzed and scaled after all acquisitions using appropriate computer software (Living Image version 3.00; Xenogen Corporation).

Magnetic resonance imaging.

MRI was conducted before and 6 days after last treatment on 3 control and 3 treated animals. The treatment started 5 days after the injection of cells. A 7.0 T Bruker Pharmascan instrument was used; anesthetized animals (isofluorane gas anesthesia) were positioned prone in the animal bed and inserted into the radiofrequency coil (diameter 38 mm) inside the magnet. T2-weighted coronal scans (RARE: TR = 5,000 ms; TEeff = 57 ms; rare factor = 8; 4 averages; FOV = 2.5*2.5 cm2; Sl. Thickn. = 1 mm; matrix = 256*128; acq. time = 5 minutes and 20 seconds) were acquired to better visualize tumors. A macro was used to calculate total tumor volume, starting from the bidimenisonal area of all contiguous slices and slice thickness.

Results

NMS-E973 is a potent and selective inhibitor of HSP90

A fragment-based approach coupled to an intensive medicinal chemistry effort led to the identification of the isoxazole derivative NMS-E973 (WO 2010/121963), a novel potent Hsp90 inhibitor structurally unrelated to ansamycins (Fig. 1A and Supplementary Fig. S1).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

A, mode of binding of NMS-E973 to the active site within the crystal structure of Hsp90α. NMS-E973 is shown with yellow carbon atoms whereas the protein is colored in green. Ordered water molecules are shown by red spheres and hydrogen bonds as dashed lines. B, antiproliferative activity of NMS-E973 in a panel of 140 diverse cell lines, where activity is represented as 1/IC50 (μmol/L). C, modulation of Hsp90 dependent markers after 24 hour incubation of the specified cancer cell line with the indicated dose of NMS-E973.

NMS-E973 binds to the ATP binding site of Hsp90α with a DC50 of <10 nmol/L in a fluorescence polarization displacement assay. As this assay has a sensitivity limit close to the nanomolar concentration of the Hsp90 protein used in the assay, we used a direct binding method, Surface Plasmon Resonance analysis, to define a more accurate KD of 0.346 nmol/L. We then studied the selectivity of the compound towards Grp94 and Trap1, the structurally related endoplasmic reticulum and mitochondrial isoforms of Hsp90, which are also reported to be overexpressed in tumors and possibly involved in cancer development (31–33). We calculated a KD of 4.5 nmol/L (>10 fold selectivity) for Grp94, whereas a KD of 670 nmol/L (∼200 fold selectivity) was obtained for Trap1. No activity was observed when the compound was tested against a panel of 52 diverse protein kinases, as well as against the biologically related ATPase Hsc70 (IC50 >10 μmol/L).

As expected, on the basis of its high biochemical potency, the crystal structure of NMS-E973 bound to the N-terminal domain of Hsp90 in the ATP binding site (Fig. 1A) shows a broad network of hydrogen bonding interactions, in addition to those between Asp93 and the phenolic hydroxyl already described for other inhibitors. The resorcinol moiety forms a network of water-mediated interactions with the neighborly residues Gly97, Ser52, and Leu48. The 4-nitro-phenoxy group linked to the resorcinol residue is located near a flexible region formed by residues 103–111 and causes its partial rearrangement without, however, inducing the opening of the lipophilic pocket described for purine-based inhibitors. Additional interactions are provided by the isoxazole-3-carboxamide group making hydrogen bonds with the carbonyl backbone of Gly97 and with the nitrogen side chain atom of Lys58, and a supplementary binding contribution is given by a salt interaction of the piperidine nitrogen with the carboxyl of Asp102.

NMS-E973 inhibits cancer cell proliferation and induces client protein degradation

When profiled against a panel of 140 human tumor cell lines of various tissue origins and molecular background, NMS-E973 shows a widespread antiproliferative activity, with an average IC50 of 1.6 μmol/L and 15 cell lines with an IC50 < 100 nmol/L (Fig. 1B and Supplementary Table S1).

As expected, because of the broad mechanism of action of Hsp90 inhibitors, it was not possible to unambiguously associate the pattern of sensitivity observed across the cell panel with mutations in a single gene. However, we observed that all of the most sensitive cell lines are driven by the disregulated activation of known oncogenic pathways (Table 1), including Alk mutations and ErbB2 overexpression, alterations well known to induce clinical sensitivity to Hsp90 inhibitors, as well as Flt3, B-Raf, PI3K, and RAS mutations.

View this table:
  • View inline
  • View popup
Table 1.

Tissue of origin and the key oncogenic alterations present in the most sensitive cell lines (IC50 < 100 nmol/L), with their antiproliferative activity

We characterized the in vitro and in vivo effects and mechanism of action of NMS-E973 in some of these sensitive molecular backgrounds.

The acute myeloid leukemia (AML) cell line MOLM-13 is known to be driven by the presence of an internal tandem duplication (ITD) in the Flt3 kinase, leading to constitutive activation of its downstream signaling pathway and to STAT5 phosphorylation. Incubation of the MOLM-13 cells for 24 hours with NMS-E973 induced degradation of Flt3 and inhibition of its signaling pathway, as shown by the decrease of STAT5 phosphorylation, as well as of the AKT and MAPK pathways, as shown by the reduction of S6 and MAPK phosphorylation, with the typical induction of Hsp70 that follows Hsp90 inhibition (Fig. 1C).

In A375 melanoma cells NMS-E973 induced degradation of B and C-Raf proteins, associated with a dual inhibition of the MAPK and AKT pathways and with induction of apoptosis as shown by PARP cleavage (Fig. 1C) and by time-lapse microscopy, which shows that the compound induces an initial accumulation in mitosis (Supplementary Fig. S2, green arrowheads), followed by extensive pyknosis and membrane blebbing damage (Supplementary Fig. S2, red arrowheads).

The AKT and MAPK pathways were also simultaneously inhibited in the A2780 ovarian cancer cell line upon treatment. Again, these modulations were associated with the feedback induction of Hsp70 expression (Fig. 1C).

Pharmacokinetics and tissue distribution of NMS-E973

To explore the possibility to use NMS-E973 for in vivo experiments, its pharmacokinetic properties were investigated in mice. When administered intravenously to 3 mice at 10 mg/Kg, the compound resulted suitable for in vivo administration with high exposure levels, compatible with biologic activity, a half life of more than 5 hours and a high volume of distribution, and associated to a moderate systemic clearance (Fig. 2A). The kinetics of tissue distribution of the compound in plasma, brain, liver, and tumor over time were determined in mice xenografted with the A375 tumors after treatment with the active dose of 60 mg/Kg (Fig. 2B). Significant levels of NMS-E973 were detected in tumors for 3 days, with a more rapid elimination from liver and plasma. Interestingly, significant concentrations of NMS-E973, exceeding those observed in plasma, were observed in brain, indicating the capacity of the compound to penetrate the BBB.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

A, average pharmacokinetic parameters after injection in 3 mice of 10 mg/mL of NMS-E973. B, kinetics of compound distribution in tumors, plasma, liver, and brain collected at the indicated times after injection of 60 mg/Kg of NMS-E973 in 3 different nude mice bearing A375 tumors. C, antitumor efficacy after subcutaneous injection of A375 cells in 7 nude mice/group. At day 10 NMS-E973 was administered either with the schedule 60 mg/Kg iv twice daily, 3-1-3, on-off-on (white triangles, group A), or 60 mg/Kg i.v. twice daily every other day (qod, black triangles), for 6 treatments. At day 30, after tumor regrowth to an average volume of 0.5 cm3, one additional cycle of NMS-E973 60 mg/Kg bid, 3-1-3 was administered to mice of group A, achieving tumor regressions again. D, ex vivo modulation of markers measured in lysates from A375 tumors (3 tumors/group) isolated at the different post-treatment times as indicated, after single iv administration of 60 mg/Kg of NMS-E973.

NMS-E973 inhibits the growth of A375 tumors subcutaneously or intracranially implanted in mice

NMS-E973 was administered at 60 mg/Kg twice daily i.v. in the A375 xenograft model according to 2 schedules: (i) every other day for 12 days and (ii) 3 days on/1 day off/3 days on (3-1-3, one cycle). Both schedules resulted in tumor shrinkage and TGI of 74% and 89%, respectively (Fig. 2C), associated to a maximum body weight loss of 9% and 13%, which rapidly recovered at the end of the treatment. This activity was superior to that of the inhibitor AUY922 (34), one of the second generation Hsp90 inhibitors currently in clinical phase II, administered at 50 mg/Kg every other day for 12 days (Fig. 2C). Interestingly, administration of a second cycle of NMS-E973 with the intermittent schedule 3-1-3 to large regrown tumors (0.5 g), was again efficacious, with tumor regression and 1 of 7 mice tumor free at day 92 (Fig. 2C).

To study the ex vivo mechanism of action, the compound was administered at 60 mg/Kg twice daily, and at different time points after the second administration, biomarker modulation was investigated in lysates from A375 xenograft tumors. Inhibition of Hsp90 resulted in decreased MAPK pathway activation at early time-points (up to 6–12 hours), followed at later time points (12–24 hours) by induction of apoptosis, measured as caspase 3 activation and upregulation of Hsp70 levels. Most biomarkers returned to control levels after 24 to 48 hours, although significant recovery of AKT and BRAF was observed by 12 hours (Fig. 2D). To achieve sustained modulation of these biomarkers, we therefore conducted efficacy experiments in which we administered the compound every 12 hours (twice daily). On the basis of the observed presence of compound in the brain, the efficacy of NMS-E973 was tested in an intracranial model in which luciferized A375 tumor cell lines were injected in the caudate nuclei region of the right brain hemisphere, and 5 days later, treated with 60 mg/Kg twice daily with one cycle of the intermittent schedule 3-3-3 (3 days on/3 days off/3 days on). Bioluminescence imaging of the luciferized tumor cells showed a clear signal decrease after treatment, with an inhibition of 92% of the luminescence signal in the treated group (Supplementary Fig. S3) compared with the control group. Magnetic resonance (MRI) was also used to monitor tumor localization and growth 6 days after the end of the treatment, showing 77% decrease in tumor volume in treated groups with respect to controls, associated with extensive necrosis visible as areas of lower signal intensity (Fig. 3).

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

A, A375-LUC intracranial model: MRI scans of 6 representative mice, 3 controls and 3 mice treated with NMS-E973 (60 mg/Kg iv bid 3-3-3 on-off-on): images acquired 6 days after end of treatment for 3 vehicle treated (top) and 3 treated mice (bottom) are shown. Tumors were clearly visualized in the right hemisphere of all animals and are delimited by white lines: tumors treated are significantly smaller than controls, and present extensive necrotic areas (* on images). B, the whole tumor was covered by multi-slice acquisition and the result is visualized in the graph, showing a significant difference in tumor volume between groups (P < 0.0005, Student t test, 2 samples unequal variances). Efficacy was also measured by bioluminescence imaging after intraperitoneal injection of d-luciferin (150 mg/Kg; Supplementary Fig. S3).

Treatment with NMS-E973 is active in A2780 xenograft tumors

As the ovarian carcinoma A2780 cell line is one of the most sensitive to treatment with NMS-E973 in vitro, the efficacy of the compound was tested in vivo in 2 experiments using different schedules and doses, and a pharmacokinetic/pharmacodynamic approach was applied on the basis of a previously published model that links the dosing regimen to the tumor growth dynamics, generating an algorithm able to estimate and predict the efficacy in different conditions (29). As shown in Fig. 4A, treatment with either 30 or 60 mg/Kg of NMS-E973 for 10 consecutive days resulted in significant tumor growth delay (TGI 53% and 74%, respectively). On the basis of these results, an algorithm was generated that was able to accurately fit the data (Fig. 4A, lines). It can be used to calculate the CT parameter, which provides an estimate of the steady-state plasma drug concentration needed to observe tumor stabilization. As predicted by the algorithm, treatment with either 30 or 60 mg/Kg twice daily with one cycle of the intermittent 3-1-3 schedule resulted in higher efficacy (TGI 68% and 91%, respectively; Fig. 4B) associated to a moderate body weight loss (4.5 and 7.7%, respectively).

Figure 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4.

Antitumor efficacy of NMS-E973 in A2780 model (7 mice/group). NMS-E973 was administered 30 and 60 mg/Kg daily for 10 consecutive days (A) or 30 and 60 mg/Kg bid, 3-1-3, on-off-on (B). Symbols with error bars represent experimental measurements and the relative standard errors; lines represent predicted curves resulting from the pharmacokinetic/pharmacodynamic model. The average pharmacokinetic/pharmacodynamic parameters for A2780 and A375 models are shown (C).

Fitting the data on the A375 and A2780 xenograft tumor models, we obtained similar CT, around 2 to 2.3 μmol/L (Fig. 4C). This parameter is helpful to guide preclinical inhibitor development and can help to estimate the active dose in humans.

NMS-E973 induces tumor eradication of a Flt3ITD dependent leukemia model

The in vivo antitumor efficacy of NMS-E973 against the MOLM-13 AML cell line, driven by the Flt3ITD mutation, was then analyzed. Intravenous administration of NMS-E973 at 60 mg/Kg twice with one cycle of the intermittent schedule 3-1-3 to SCID mice subcutaneously inoculated with the MOLM-13 cells induced cure in all treated mice, with 7 of 7 tumors eradicated at day 90 (Fig. 5A). The same treatment schedule was highly efficacious also when the cells were systemically injected in mice, with 9 of 10 animals alive at day 120 at the end of treatment (Fig. 5B). This activity was superior to that observed for sunitinib, highly active against Flt3, when administered at 40 mg/Kg daily for 20 consecutive days (death of all animals by day 41; Fig. 5B). Although we did not conduct ex vivo biomarker modulation studies in this experiment, the ability of NMS-E973 to induce degradation of Flt3ITD was confirmed in MOLM-13 cells in vitro (Fig. 1C)

Figure 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 5.

A, antitumor efficacy of NMS-E973 administered 60 mg/Kg twice daily, 3-1-3, on-off-on, to 7 SCID mice inoculated subcutaneously with the MOLM-13 cells. All the animals show complete tumor eradication at the end of the experiment (day 90). B, antitumor efficacy of NMS-E973 after administration of 60 mg/Kg twice daily, 3-1-3, on-off-on, to 10 SCID mice inoculated systemically with the MOLM-13 cells. Nine animals were still alive at day 120 at the end of the experiment.

NMS-E973 is active in resistance models

Emergence of resistance is a common feature of targeted therapy with kinase inhibitors, often resulting from mutations of critical residues in the ATP pocket, such as those observed after treatment with imatinib in AML (Abl T315I) and in GIST (Kit D816V, T670I, and PDGFRα D842V), or crizotinib in lung adenocarcinoma (Alk F1174L, L1196M, C1156Y, G1269A; ref. 35).

As expected for Hsp90 inhibitors, NMS-E973 was equally active in the inhibition of Ba/F3 cells dependent on Alk or mutants insensitive to crizotinib (F1174L, L1196M, C1156Y and F1174C, Supplementary Fig. S4).

In melanoma, resistance to treatment with vemurafenib and the short duration of responses have not been associated to B-Raf kinase mutations so far, but they are linked to the activation of alternative signaling pathways (10, 11). Also, in colon, an escape mechanism from B-Raf inhibition through the activation of EGFR signaling has been suggested. Infact, B-Raf–mutant colorectal cancer cell lines have been described to harbor higher basal levels of EGFR/pEGFR compared with melanoma cells (12), with an increase in pEGFR after vemurafenib treatment (13). As all the activated pathways identified so far are reported to be sensitive to Hsp90 inhibition in vitro (36), treatment with Hsp90 inhibitors as single agent or in combination with B-Raf inhibitors could potentially eradicate cancer cells that have acquired resistance.

Combined in vitro treatment of A375 melanoma cells with NMS-E973 and PLX-4720 shows a synergic antiproliferative activity (Fig. 6A), further supporting the rationale to test in vivo the combination of the 2 drugs. Simultaneous administration of NMS-E973 at 60 mg/Kg i.v. twice daily with one cycle of the 3-1-3 schedule, together with B-Raf inhibitor PLX-4720 at 100 mg/Kg per os for 10 days, showed an efficacy superior to the treatments as single agents, as judged by the delay observed in tumor regrowth after initial regression (Fig. 6B), supporting the rationale to combine Hsp90 inhibitors with vemurafenib in melanoma.

Figure 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 6.

A, combination experiment of NMS-E973 with PLX-4720. Twenty-four hours after the seeding of exponentially growing A375 cells, the experiment was started by addition of PLX-4720, followed 24 hours later by the treatment with scalar doses of NMS-E973. C.I. calculated for mutually nonexclusive drugs are indicative of synergism. B, antitumor efficacy in A375 model (7 mice mice/group). NMS-E973 was administered with the schedule 60 mg/Kg twice daily, 3-1-3, on-off-on, whereas PLX-4720 was given orally for 10 consecutive days. The combination resulted in an efficacy superior to the single treatments, as judged by the delay observed in tumor regrowth after initial regression, and also by the increase in median survival time for the combination of the drugs (59 days), as compared to the MST of 32, 39, and 42 days registered for controls, PLX-4720 and NMS-E973, respectively. C, modulation of Hsp90-dependent markers after 24 hour incubation of RKO cells with the indicated doses of NMS-E973 and PLX-4720 as single agents or in combination. D, in vivo antitumor efficacy in the RKO model resistant to vemurafenib. RKO cells were inoculated subcutaneously in 7 nude mice/group, and NMS-E973 was administered with the schedule 60 mg/Kg bid, 3-1-3, on-off-on.

About 8% to 10% of colon carcinomas harbor the B-RafV600E oncogenic lesion and these patients show a very limited response to vemurafenib (37, 38). Given the poor prognosis of these patients, there is a need of new effective treatments for this patient population and it is suggested that combining B-Raf inhibitors with drugs with different mechanism of action could overcome treatment resistance in colon cancer.

We found that RKO cells that are resistant to B-Raf inhibitors (IC50 = 8.5 μmol/L for vemurafenib, >10 μmol/L for PLX-4720) are sensitive to Hsp90 inhibitors, with an IC50 of 84 nmol/L for NMS-E973. We analyzed the molecular basis for this sensitivity in RKO cells treated with PLX-4720 and NMS-E973, as single agents or in combination. We observed that PLX-4720, even at the highest dose of 10 μmol/L only partially inhibits B-Raf activity in these cells, with a modest decrease of MEK and ERK phosphorylation and lack of caspase activation, possibly due to the observed concomitant increase in phospho-EGFR, which has been described as a potential mechanism of resistance to B-Raf inhibition in colorectal carcinoma (12, 13). Significantly, treatment with NMS-E973 induces downregulation of both total and phospho-EGFR, reduction of MEK, ERK, and S6 phosphorylation, coupled with caspase activation as a single agent and is able to markedly enhance suppression of BRAF signaling by PLX-4720 when combined with this agent.

Moreover, treatment with NMS-E973 induced a degradation of C-Raf and B-Raf proteins, which was partially abrogated by combined treatment with PLX-4720. These results suggest that treatment with NMS-E973 represents a potential approach to bypass escape mechanisms from B-Raf inhibition in this tumor context.

Accordingly, we treated nude mice bearing RKO xenograft tumors with NMS-E973 (60 mg/Kg twice daily) with the intermittent schedule 3-1-3 and observed tumor shrinkage in all the animals with a TGI of 93%, with 2 of 7 animals remaining tumor free at day 90 after the end of the treatment (Fig. 6D).

Discussion

Despite the significant number of molecules that have entered clinical studies (39–41), the development of Hsp90 inhibitors has been delayed so far by the weak potency of the first-generation drugs that resulted in modest clinical activity, by the difficulty to optimize the treatment schedule towards a suitable therapeutic window, and by the challenge to identify the most sensitive patient population. However, there is currently a new wave of interest in this field linked to the promising clinical activity observed recently with retaspimycin and ganetespib in Alk-driven NSCLCs (5, 6) and in ErbB2-positive metastatic breast cancers (7, 42, 43), that allowed to identify clinical settings in which schedule optimization of agents with higher potency resulted in permissive conditions for selected Hsp90 inhibitors.

Here, we showed the characterization of NMS-E973, a lead compound belonging to a novel isoxazole series structurally unrelated to ansamycins. NMS-E973 binds with high potency and selectivity to the ATP binding pocket of Hsp90α, shows broad antiproliferative activity in vitro associated to the degradation of Hsp90 client proteins such as Flt3, B-Raf, AKT, with the resultant block of key pathways for tumor cell progression, such as the Raf/MAPK, PI3K/AKT, and JAK/STAT signal transduction pathways.

In vivo, NMS-E973 showed high antitumor efficacy in all the models tested, including A375 and A2780 xenografts, achieving tumor shrinkage also after rechallenge of large tumor masses. Schedule optimization supported by an efficient pharmacokinetic/pharmacodynamic model allowed identification of the 3-1-3 treatment as an efficient way to maximize the efficacy of the compound at tolerated doses.

NMS-E973 showed efficacy in models representative of clinical settings with high medical need. The best approach to the treatment of Flt3ITD AML is currently undefined, and multiple clinical trials are investigating inhibitors of the Flt3 kinase. These agents showed, so far, clinical activity in patients with Flt3-mutant AML that correlates with effective in vivo suppression of the Flt3 target, although it is very often transient, possibly due to inadequate dosing or insufficient selectivity of these drugs that may reduce their tolerability (44). NMS-E973 treatment of the MOLM-13 Flt3ITD tumor cell line caused efficient target degradation and silencing of the pathway and resulted in complete eradication of the tumors after both subcutaneous and intravenous tumor cell implantation. This activity was superior to that of the multikinase inhibitor sunitinib in the same experiment and compared favorably with the activity of AC220 (45), the most potent and selective Flt3 inhibitor described so far, tested in the same model (data not shown). Resistance mutations to Flt3 inhibitors in clinics are beginning to emerge, such as the D835Y mutation in the tyrosine kinase domain (45), raising the opportunity for future studies with NMS-E973 in this setting.

Metastases to vital organs of difficult surgical access are the ultimate cause of death when not controlled, and brain metastases are the most life-threatening among the secondary localizations of cancers such as melanoma, NSCLC, and breast cancers for their unresponsiveness to chemotherapeutic treatments. Brain cancers represent another crucial unmet medical need, and although the presence and function of the BBB in brain tumors is still poorly understood, it is likely that small tumors could be protected from therapeutics by the barrier itself, creating a “sanctuary” site (46, 47). Among Hsp90 inhibitors, SNX-5422 does not reach the brain (48), the efficacy of AUY-922 in brain cancers has been restricted so far to subcutaneously implanted glioblastomas due to low BBB permeability (49), and only CUDC-305 (50) is reported to have the capacity to penetrate the brain barrier. We showed that NMS-E973 enters the brain and slows the progression of an intracranially implanted melanoma model and would suggest the opportunity of investigating clinical efficacy on brain tumors while potential CNS effects should clearly be closely monitored.

Vemurafenib and crizotinib are recently approved kinase inhibitors that have shown unprecedented activity in melanoma and Alk-positive NSCLC, respectively. However, the efficacy of these drugs is limited by target mutations (for Alk), resistance mechanisms based on activation of additional pathways and progression due to brain metastases. Also, vemurafenib has failed to show activity in B-Raf–mutated colon cancers. The preclinical features of NMS-E973 have the potential to overcome these limitations, based on its high activity towards the known Alk resistance mutations and the V600E vemurafenib resistant tumors, the broad spectrum of Hsp90 target proteins, the ability to penetrate the blood brain barrier and its proven activity in intracranial tumor models. The observed synergy with the B-Raf inhibitor PLX-4720 in melanoma may also suggest additional therapeutic combinations in some tumors.

The results obtained for NMS-E973 show the high potential of this class in the Hsp90 arena, including the ability to pass the BBB which is an uncommon feature among the compounds described so far. We are currently completing the lead optimization of the NMS-E973 class to allow the final selection of the candidate for clinical studies.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Authors' Contributions

Conception and design: G. Fogliatto, M.G. Brasca, E. Casale, P. Polucci, C. Visco, F. Zuccotto, D. Donati, E. Felder, S. Mantegani, A. Isacchi

Development of methodology: L.M. Gianellini, M. Paolucci, F. Sola, C. Visco, S. Mantegani

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): D. Ballinari, A. Degrassi, A.D. Ponti, M. Russo, E. Pesenti, S. Mantegani

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): L.M. Gianellini, E. Casale, D. Ballinari, M. Ciomei, A. Degrassi, M. Germani, M. Guanci, M. Paolucci, M. Russo, B. Valsasina, C. Visco, F. Zuccotto, D. Donati, E. Felder, A. Isacchi

Writing, review, and/or revision of the manuscript: G. Fogliatto, M.G. Brasca, D. Ballinari, M. Ciomei, M. Germani, M. Paolucci, C. Visco, D. Donati, E. Felder, S. Mantegani, A. Galvani, A. Isacchi

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): G. Fogliatto, F. Sola, C. Visco, A. Galvani

Study supervision: G. Fogliatto, M. Ciomei, D. Donati, E. Pesenti, S. Mantegani, A. Isacchi

Acknowledgments

The authors thank Nadia Amboldi, Antonella Ciavolella, Paolo Cappella, Claudio Dalvit, Ron Ferguson, Laura Mancini, Jan Malyszko, Gaia Sanga, Alessio Somaschini, the NMS biochemical and cellular screening groups, and Francesco Caprera and the in vivo group for their excellent technical assistance.

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.

Footnotes

  • Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

  • Received November 13, 2012.
  • Revision received April 6, 2013.
  • Accepted April 30, 2013.
  • ©2013 American Association for Cancer Research.

References

  1. 1.↵
    1. Hanahan D,
    2. Weinberg RA
    . Hallmarks of cancer: the next generation. Cell 2011;144:646–74.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Neckers L
    . Heat shock protein 90: the cancer chaperone. Heat Shock Proteins in Cancer 2007;231–52.
  3. 3.↵
    1. Jhaveri K,
    2. Taldone T,
    3. Modi S,
    4. Chiosis G
    . Advances in the clinical development of heat shock protein 90 (Hsp90) inhibitors in cancers. Biochim Biophys Acta 2012;1823:742–55.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Sydor JR,
    2. Normant E,
    3. Pien CS,
    4. Porter JR,
    5. Ge J,
    6. Grenier L,
    7. et al.
    Development of 17-allylamino-17-demethoxygeldanamycin hydroquinone hydrochloride (IPI-504), an anti-cancer agent directed against Hsp90. Proc Natl Acad Sci U S A 2006;103:17408–13.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Wong K,
    2. Koczywas M,
    3. Goldman JW,
    4. Paschold EH,
    5. Horn L,
    6. Lufkin JM,
    7. et al.
    An open-label phase II study of the Hsp90 inhibitor ganetespib (STA-9090) as monotherapy in patients with advanced non-small cell lung cancer (NSCLC). J Clin Oncol 2011;29(suppl):7500.
    OpenUrl
  6. 6.↵
    1. Neckers L,
    2. Workman P
    . Hsp90 Molecular chaperone inhibitors: are we there yet? Clin Cancer Res 2012;18:64–76.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Modi S,
    2. Stopeck A,
    3. Linden H,
    4. Solit D,
    5. Chandarlapaty S,
    6. Rosen N,
    7. et al.
    HSP90 inhibition is effective in breast cancer: a phase II trial of tanespimycin (17-AAG) plus trastuzumab in patients with HER2-positive metastatic breast cancer progressing on trastuzumab. Clin Cancer Res 2011;17:5132–9.
    OpenUrlAbstract/FREE Full Text
  8. 8.↵
    1. Ying W,
    2. Du Z,
    3. Sun L,
    4. Foley KP,
    5. Proia DA,
    6. Blackman RK,
    7. et al.
    Ganetespib, a unique triazolone-containing Hsp90 inhibitor, exhibits potent antitumor activity and a superior safety profile for cancer therapy. Mol Cancer Ther 2012;11:475–84.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    1. Sasaki T,
    2. Koivunen J,
    3. Ogino A,
    4. Yanagita M,
    5. Nikiforow S,
    6. Zheng W,
    7. et al.
    A novel ALK secondary mutation and EGFR signaling cause resistance to ALK kinase inhibitors. Cancer Res 2011;71:6051–60.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Poulikakos PI,
    2. Zhang C,
    3. Bollag G,
    4. Shokat KM,
    5. Rosen N
    . RAF inhibitors transactivate RAF dimers and ERK signaling in cells with wild-type BRAF. Nature 2010;464:427–30.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Poulikakos PI,
    2. Rosen N
    . Mutant BRAF melanomas–dependence and resistance. Cancer Cell 2011;19:11–5.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Corcoran RB,
    2. Ebi H,
    3. Turke AB,
    4. Coffee EM,
    5. Nishino M,
    6. Cogdill AP,
    7. et al.
    EGFR-mediated reactivation of MAPK signaling contributes to insensitivity of BRAF-mutant colorectal cancers to RAF inhibition with vemurafenib. Cancer Discov 2012;2:227–35.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Prahallad A,
    2. Sun C,
    3. Huang S,
    4. Di Nicolantonio F,
    5. Salazar R,
    6. Zecchin D,
    7. et al.
    Unresponsiveness of colon cancer to BRAF (V600E) inhibition through feedback activation of EGFR. Nature 2012;483:100–3.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Costa DB,
    2. Kobayashi S,
    3. Pandya SS,
    4. Yeo WL,
    5. Shen Z,
    6. Tan W,
    7. et al.
    CSF concentration of the anaplastic lymphoma kinase inhibitor crizotinib. J Clin Oncol 2011;29:e443–5.
    OpenUrlFREE Full Text
  15. 15.↵
    1. Panaretou B,
    2. Prodromou C,
    3. Roe SM,
    4. O'Brien R,
    5. Ladbury JE,
    6. Piper PW,
    7. et al.
    ATP binding and hydrolysis are essential to the function of the Hsp90 molecular chaperone in vivo. EMBO J 1998;17:4829–36.
    OpenUrlAbstract
  16. 16.↵
    1. Leskovar A,
    2. Wegele H,
    3. Werbeck ND,
    4. Buchner J,
    5. Reinstein J
    . The ATPase cycle of the mitochondrial Hsp90 analog Trap1. J Biol Chem 2008;283:11677–88.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Dollins DE,
    2. Warren JJ,
    3. Immormino RM,
    4. Gewirth DT
    . Structures of GRP94-nucleotide complexes reveal mechanistic differences between the hsp90 chaperones. Mol Cell 2007;28:41–56.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Lundgren K,
    2. Zhang H,
    3. Brekken J,
    4. Huser N,
    5. Powell RE,
    6. Timple N,
    7. et al.
    BIIB021, an orally available, fully synthetic small-molecule inhibitor of the heat shock protein Hsp90. Mol Cancer Ther 2009;8:921.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Kuzmic P
    . Program DYNAFIT for the analysis of enzyme kinetic data: application to HIV proteinase. Anal Biochem 1996;237:260–73.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Karlsson R,
    2. Katsamba PS,
    3. Nordin H,
    4. Pol E,
    5. Myszka DG
    . Analyzing a kinetic titration series using affinity biosensors. Anal Biochem 2006;349:136–47.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Soncini C,
    2. Carpinelli P,
    3. Gianellini L,
    4. Fancelli D,
    5. Vianello P,
    6. Rusconi L,
    7. et al.
    PHA-680632, a novel Aurora kinase inhibitor with potent antitumoral activity. Clin Cancer Res 2006;12:4080–9.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    1. Otwinowski Z,
    2. Minor W
    . Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol 1997;276:307–26.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Emsley P,
    2. Cowtan K
    . Coot: model-building tools for molecular graphics. Acta Crystallogr D Biol Crystallogr 2004;60(Pt 12 Pt 1):2126–32.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Murshudov GN,
    2. Vagin AA,
    3. Dodson EJ
    . Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr D Biol Crystallogr 1997;53(Pt 3):240–55.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Masters JR,
    2. Thomson JA,
    3. Daly-Burns B,
    4. Reid YA,
    5. Dirks WG,
    6. Packer P,
    7. et al.
    Short tandem repeat profiling provides an international reference standard for human cell lines. Proc Natl Acad Sci U S A 2001;98:8012–7.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Lorenzi PL,
    2. Reinhold WC,
    3. Varma S,
    4. Hutchinson AA,
    5. Pommier Y,
    6. Chanock SJ,
    7. et al.
    DNA fingerprinting of the NCI-60 cell line panel. Mol Cancer Ther 2009;8:713–24.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Chou TC,
    2. Talalay P
    . Analysis of combined drug effects: a new look at a very old problem. Trends Pharmacol Sci 1983;4:450–4.
    OpenUrlCrossRef
  28. 28.↵
    1. Towbin H,
    2. Staehelin T,
    3. Gordon J
    . Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications. Proc Natl Acad Sci U S A 1979;76:4350–4.
    OpenUrlAbstract/FREE Full Text
  29. 29.↵
    1. Simeoni M,
    2. Magni P,
    3. Cammia C,
    4. De Nicolao G,
    5. Croci V,
    6. Pesenti E,
    7. et al.
    Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents. Cancer Res 2004;64:1094–101.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Magni P,
    2. Germani M,
    3. De Nicolao G,
    4. Bianchini G,
    5. Simeoni M,
    6. Poggesi I,
    7. et al.
    A minimal model of tumor growth inhibition. IEEE Trans Biomed Eng 2008;55:2683–90.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. McLaughlin M,
    2. Vandenbroeck K
    . The endoplasmic reticulum protein folding factory and its chaperones: new targets for drug discovery? Br J Pharmacol. 2011;162:328–45.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Ni M,
    2. Lee AS
    . ER chaperones in mammalian development and human diseases. FEBS Lett 2007;581:3641–51.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Altieri DC,
    2. Stein GS,
    3. Lian JB,
    4. Languino LR
    . TRAP-1, the mitochondrial Hsp90. Biochim Biophys Acta 2012;1823:767–73.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Eccles SA,
    2. Massey A,
    3. Raynaud FI,
    4. Sharp SY,
    5. Box G,
    6. Valenti M,
    7. et al.
    NVP-AUY922: a novel heat shock protein 90 inhibitor active against xenograft tumor growth, angiogenesis, and metastasis. Cancer Res 2008;68:2850–60.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Doebele RC,
    2. Pilling AB,
    3. Aisner DL,
    4. Kutateladze TG,
    5. Le AT,
    6. Weickhardt AJ,
    7. et al.
    Mechanisms of resistance to crizotinib in patients with ALK gene rearranged non-small cell lung cancer. Clin Cancer Res 2012;18:1472–82.
    OpenUrlAbstract/FREE Full Text
  36. 36.↵
    1. Paraiso KH,
    2. Haarberg E,
    3. Wood E,
    4. Rebecca VW,
    5. Chen YA,
    6. Xiang Y,
    7. et al.
    The heat shock protein-90 inhibitor XL888 overcomes BRAF inhibitor resistance mediated through diverse mechanisms. Clin Cancer Res 2012;18:2502–14.
    OpenUrlAbstract/FREE Full Text
  37. 37.↵
    1. Sullivan RJ,
    2. Flaherty KT
    . BRAF in Melanoma: Pathogenesis, Diagnosis, Inhibition, and Resistance. J Skin Cancer 2011;2011:423239.
    OpenUrlPubMed
  38. 38.↵
    1. Yang H,
    2. Higgins B,
    3. Kolinsky K,
    4. Packman K,
    5. Bradley WD,
    6. Lee RJ,
    7. et al.
    Antitumor activity of BRAF inhibitor vemurafenib in preclinical models of BRAF-mutant colorectal cancer. Cancer Res 2012;72:779–89.
    OpenUrlAbstract/FREE Full Text
  39. 39.↵
    1. Jhaveri K,
    2. Modi S
    . HSP90 inhibitors for cancer therapy and overcoming drug resistance. Adv Pharmacol 2012;65:471–517.
    OpenUrlCrossRefPubMed
  40. 40.↵
    1. Patel HJ,
    2. Modi S,
    3. Chiosis G,
    4. Taldone T
    . Advances in the discovery and development of heat-shock protein 90 inhibitors for cancer treatment. Expert Opin Drug Discov 2011;6:559–87.
    OpenUrlCrossRefPubMed
  41. 41.↵
    1. Soga S,
    2. Akinaga S,
    3. Shiotsu Y
    . Hsp90 inhibitors as anti-cancer agents, from basic discoveries to clinical development. Curr Pharm Des 2013;19:366–76.
    OpenUrlCrossRefPubMed
  42. 42.↵
    Synta corporate presentation March 2013 [cited 2013 Apr 8]. Available from: http://www.syntapharma.com/Documents/Synta_Corporate_presentation.pdf.
  43. 43.↵
    1. Arteaga CL
    . Why is this effective HSP90 inhibitor not being developed in HER2 +breast cancer? Clin Cancer Res 2011;17:4919–21.
    OpenUrlAbstract/FREE Full Text
  44. 44.↵
    1. Fathi AT,
    2. Chabner BA
    . FLT3 inhibition as therapy in acute myeloid leukemia: a record of trials and tribulations. Oncologist 2011;16:1162–74.
    OpenUrlAbstract/FREE Full Text
  45. 45.↵
    1. Moore AS,
    2. Faisal A,
    3. Gonzalez de Castro D,
    4. Bavetsias V,
    5. Sun C,
    6. Atrash B,
    7. et al.
    Selective FLT3 inhibition of FLT3-ITDplus; acute myeloid leukaemia resulting in secondary D835Y mutation: a model for emerging clinical resistance patterns. Leukemia 2012;26:1462–70.
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Deeken JF,
    2. Loscher W
    . The blood-brain barrier and cancer: transporters, treatment, and Trojan horses. Clin Cancer Res 2007;13:1663–74.
    OpenUrlAbstract/FREE Full Text
  47. 47.↵
    1. Eichler AF,
    2. Chung E,
    3. Kodack DP,
    4. Loeffler JS,
    5. Fukumura D,
    6. Jain RK
    . The biology of brain metastases—translation to new therapies. Nat Rev Clin Oncol 2011;8:344–56.
    OpenUrlPubMed
  48. 48.↵
    1. Chandarlapaty S,
    2. Sawai A,
    3. Ye Q,
    4. Scott A,
    5. Silinski M,
    6. Huang K,
    7. et al.
    SNX2112, a synthetic heat shock protein 90 inhibitor, has potent antitumor activity against HER kinase-dependent cancers. Clin Cancer Res 2008;14:240–8.
    OpenUrlAbstract/FREE Full Text
  49. 49.↵
    1. Gaspar N,
    2. Sharp SY,
    3. Eccles SA,
    4. Gowan S,
    5. Popov S,
    6. Jones C,
    7. et al.
    Mechanistic evaluation of the novel HSP90 inhibitor NVP-AUY922 in adult and pediatric glioblastoma. Mol Cancer Ther 2010;9:1219–33.
    OpenUrlAbstract/FREE Full Text
  50. 50.↵
    1. Bao R,
    2. Lai CJ,
    3. Qu H,
    4. Wang D,
    5. Yin L,
    6. Zifcak B,
    7. et al.
    CUDC-305, a novel synthetic HSP90 inhibitor with unique pharmacologic properties for cancer therapy. Clin Cancer Res 2009;15:4046–57.
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top
Clinical Cancer Research: 19 (13)
July 2013
Volume 19, Issue 13
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Clinical Cancer Research article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
NMS-E973, a Novel Synthetic Inhibitor of Hsp90 with Activity against Multiple Models of Drug Resistance to Targeted Agents, Including Intracranial Metastases
(Your Name) has forwarded a page to you from Clinical Cancer Research
(Your Name) thought you would be interested in this article in Clinical Cancer Research.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
NMS-E973, a Novel Synthetic Inhibitor of Hsp90 with Activity against Multiple Models of Drug Resistance to Targeted Agents, Including Intracranial Metastases
Gianpaolo Fogliatto, Laura Gianellini, Maria G. Brasca, Elena Casale, Dario Ballinari, Marina Ciomei, Anna Degrassi, Anna De Ponti, Massimiliano Germani, Marco Guanci, Mauro Paolucci, Paolo Polucci, Micaela Russo, Francesco Sola, Barbara Valsasina, Carlo Visco, Fabio Zuccotto, Daniele Donati, Eduard Felder, Enrico Pesenti, Arturo Galvani, Sergio Mantegani and Antonella Isacchi
Clin Cancer Res July 1 2013 (19) (13) 3520-3532; DOI: 10.1158/1078-0432.CCR-12-3512

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
NMS-E973, a Novel Synthetic Inhibitor of Hsp90 with Activity against Multiple Models of Drug Resistance to Targeted Agents, Including Intracranial Metastases
Gianpaolo Fogliatto, Laura Gianellini, Maria G. Brasca, Elena Casale, Dario Ballinari, Marina Ciomei, Anna Degrassi, Anna De Ponti, Massimiliano Germani, Marco Guanci, Mauro Paolucci, Paolo Polucci, Micaela Russo, Francesco Sola, Barbara Valsasina, Carlo Visco, Fabio Zuccotto, Daniele Donati, Eduard Felder, Enrico Pesenti, Arturo Galvani, Sergio Mantegani and Antonella Isacchi
Clin Cancer Res July 1 2013 (19) (13) 3520-3532; DOI: 10.1158/1078-0432.CCR-12-3512
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Authors' Contributions
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Survivin mAbs Inhibit Tumor Growth
  • B7-H3 Negatively Modulates Cancer Immunity
  • RB1 and TYMP as Biomarkers of Capecitabine Response in TNBC
Show more Cancer Therapy: Preclinical
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook  Twitter  LinkedIn  YouTube  RSS

Articles

  • Online First
  • Current Issue
  • Past Issues
  • CCR Focus Archive
  • Meeting Abstracts

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Clinical Cancer Research

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Clinical Cancer Research
eISSN: 1557-3265
ISSN: 1078-0432

Advertisement